470 lines
17 KiB
Python
470 lines
17 KiB
Python
import numpy as np
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import matplotlib
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matplotlib.use('Agg') # Non-interactive backend for saving plots
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import matplotlib.pyplot as plt
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from comtrade import Comtrade
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import math
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import sys
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import os
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# ============================================================
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# KONFIGURACJA - WYBIERZ ALGORYTM
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# ============================================================
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# Dostępne algorytmy:
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# 1 - distance_algorithm (DistanceRelay) - podstawowy
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# 2 - distance_algorithm_zimba (DistanceRelayZDistA) - bazowany na ZDistA_komp.c
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ALGORITHM = 2 # <-- zmień tę wartość aby przełączyć algorytm
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if ALGORITHM == 1:
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from distance_algorithm import DistanceRelay
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ALGORITHM_NAME = "distance_relay"
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ALGORITHM_DESC = "DistanceRelay (podstawowy)"
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elif ALGORITHM == 2:
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from distance_algorithm_zimba import DistanceRelayZDistA
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DistanceRelay = DistanceRelayZDistA
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ALGORITHM_NAME = "zdistA"
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ALGORITHM_DESC = "DistanceRelayZDistA (bazowany na ZDistA_komp.c)"
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else:
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raise ValueError(f"Nieznany algorytm: {ALGORITHM}")
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print(f"=== Używany algorytm: {ALGORITHM_DESC} ===")
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# ============================================================
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def parse_settings(directory):
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"""
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Parsuje pliki Nastawy.txt lub nastawy stref.txt w podanym katalogu.
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"""
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settings = {}
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for filename in ["Nastawy.txt", "nastawy stref.txt"]:
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filepath = os.path.join(directory, filename)
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if os.path.exists(filepath):
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print(f"Znaleziono plik nastaw: {filepath}")
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try:
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with open(filepath, 'r', encoding='utf-8') as f:
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content = f.readlines()
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except UnicodeDecodeError:
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with open(filepath, 'r', encoding='cp1250') as f:
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content = f.readlines()
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for line in content:
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line = line.strip()
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if not line or line.startswith('#'):
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continue
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separator = None
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if '=' in line:
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separator = '='
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elif ':' in line:
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separator = ':'
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if separator:
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key, value = line.split(separator, 1)
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key = key.strip()
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value = value.strip()
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try:
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settings[key] = float(value)
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except ValueError:
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settings[key] = value
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break
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if settings:
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print("Wczytano następujące nastawy:")
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for key, value in settings.items():
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print(f" {key}: {value}")
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return settings
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# Przekładnia prądowa (domyślna)
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PRZEKLADNIA = 200.0
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PRZEKLADNIA_NAPIECIA = 1100.0
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KIERUNEK = 0 # 0=bez, 1=do linii, 2=do szyn
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# Obsluga argumentow wiersza polecen
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if len(sys.argv) > 1:
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base_name = sys.argv[1]
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else:
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base_name = "zwarcie_testowe"
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# Wczytywanie nastaw z pliku
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directory = os.path.dirname(os.path.abspath(base_name))
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settings = parse_settings(directory)
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# Nadpisz domyślne wartości, jeśli istnieją w pliku nastaw
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PRZEKLADNIA = float(settings.get('Przekladnia pradowa', PRZEKLADNIA))
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PRZEKLADNIA_NAPIECIA = float(settings.get('Przekladnia napieciowa', PRZEKLADNIA_NAPIECIA))
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KIERUNEK = int(settings.get('Kierunek', KIERUNEK))
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print(f"\nUżywane parametry globalne:")
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print(f" Przekładnia prądowa: {PRZEKLADNIA}")
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print(f" Przekładnia napięciowa: {PRZEKLADNIA_NAPIECIA}")
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print(f" Kierunek: {KIERUNEK}\n")
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PRZEKLADNIA_EFF = PRZEKLADNIA_NAPIECIA / PRZEKLADNIA
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cfg_file = f"{base_name}.cfg"
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dat_file = f"{base_name}.dat"
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print(f"Wczytywanie rejestracji: {cfg_file}")
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rec = Comtrade()
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# Probuj rozne kodowania dla plikow CFG
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encodings = ['utf-8', 'cp1250', 'cp1252', 'latin-1', 'iso-8859-1', 'cp1251', 'cp1253']
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loaded = False
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for encoding in encodings:
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try:
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rec.load(cfg_file, dat_file, encoding=encoding)
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loaded = True
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break
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except (UnicodeDecodeError, Exception) as e:
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continue
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if not loaded:
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print(f"BŁĄD: Nie można wczytać pliku {cfg_file}")
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sys.exit(1)
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# Sprawdz czy mamy wystarczajaco kanalow analogowych
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num_analog = len(rec.analog)
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print(f"Liczba kanalow analogowych: {num_analog}")
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if num_analog < 6:
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print(f"BŁĄD: Za mało kanałów analogowych (wymagane minimum 6)")
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sys.exit(1)
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# Wyciagniecie danych
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t = np.array(rec.time)
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Fs = rec.cfg.sample_rates[0][0]
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f_nom = 50.0
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N = int(Fs / f_nom) if f_nom > 0 else 20
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if N < 1:
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N = 1
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print(f" Czestotliwosc probkowania: {Fs} Hz")
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print(f" Liczba probek na okres: {N}")
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i1_raw = np.array(rec.analog[0])
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i2_raw = np.array(rec.analog[1])
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i3_raw = np.array(rec.analog[2])
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if num_analog >= 7:
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u1_raw = np.array(rec.analog[4])
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u2_raw = np.array(rec.analog[5])
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u3_raw = np.array(rec.analog[6])
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else:
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u1_raw = np.array(rec.analog[3])
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u2_raw = np.array(rec.analog[4])
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u3_raw = np.array(rec.analog[5])
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# === ANALIZA DANYCH - wyznaczenie impedancji przed zwarciem ===
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def fcdft(samples):
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if len(samples) < N: return 0.0, 0.0
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k = np.arange(N)
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cos_wave = np.cos(2 * np.pi * k / N)
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sin_wave = np.sin(2 * np.pi * k / N)
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re = (2.0 / N) * np.sum(samples * cos_wave)
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im = -(2.0 / N) * np.sum(samples * sin_wave)
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return re, im
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def calculate_impedance_from_raw(u_raw, i_raw, idx):
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if idx < N: return 0, 0
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window_i = i_raw[idx-N:idx]
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window_u = u_raw[idx-N:idx]
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i_re, i_im = fcdft(window_i)
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u_re, u_im = fcdft(window_u)
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i_re /= PRZEKLADNIA
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i_im /= PRZEKLADNIA
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u_re /= PRZEKLADNIA_NAPIECIA
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u_im /= PRZEKLADNIA_NAPIECIA
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i_mag_sq = i_re**2 + i_im**2
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if i_mag_sq < 1e-9: return 0, 0
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z_re = (u_re * i_re + u_im * i_im) / i_mag_sq
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z_x = (u_im * i_re - u_re * i_im) / i_mag_sq
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return z_re, z_x
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pre_fault_start = 10
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pre_fault_end = min(100, len(t) - N)
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z_r_list, z_x_list = [], []
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step = max(N, 1)
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for idx in range(pre_fault_start, pre_fault_end, step):
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z_r, z_x = calculate_impedance_from_raw(u1_raw, i1_raw, idx)
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if z_r > 0:
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z_r_list.append(z_r)
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z_x_list.append(z_x)
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if z_r_list:
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Z_line_R = np.median(z_r_list)
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Z_line_X = np.median(z_x_list)
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Z_line_mag = np.sqrt(Z_line_R**2 + Z_line_X**2)
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line_angle = np.degrees(np.arctan2(Z_line_X, Z_line_R))
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print(f"\nImpedancja linii (przed zwarciem): R={Z_line_R:.2f}, X={Z_line_X:.2f}, |Z|={Z_line_mag:.2f} Ohm, Kat={line_angle:.1f} deg")
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else:
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Z_line_R = 2.0
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Z_line_X = 8.0
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Z_line_mag = np.sqrt(Z_line_R**2 + Z_line_X**2)
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line_angle = 75.0
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print("Nie mozna wyznaczyc impedancji linii, uzywam wartosci domyslnych")
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# Utworzenie relay z nastawami z pliku
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relay = DistanceRelay(Z_line_R=Z_line_R, Z_line_X=Z_line_X, line_angle=line_angle, kierunek=KIERUNEK, settings=settings)
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# ... (reszta skryptu bez zmian) ...
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# Macierz operatora obrotu dla składowych symetrycznych
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a = complex(-0.5, np.sqrt(3)/2)
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a2 = complex(-0.5, -np.sqrt(3)/2)
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# Symulacja "czasu rzeczywistego" próbka po próbce
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relay.reset()
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relay.init_relay()
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trip_history_L1 = []
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trip_history_L2 = []
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trip_history_L3 = []
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# Impedance phasors (R + jX)
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z1_r_history = []
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z1_x_history = []
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z2_r_history = []
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z2_x_history = []
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z3_r_history = []
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z3_x_history = []
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def calculate_impedance(u_cpx, i_cpx):
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"""Oblicza impedancję Z = U/I jako liczbę zespoloną"""
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# Konwersja do wartości wtórnych
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i_cpx = complex(i_cpx.real / PRZEKLADNIA, i_cpx.imag / PRZEKLADNIA)
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u_cpx = complex(u_cpx.real / PRZEKLADNIA_NAPIECIA, u_cpx.imag / PRZEKLADNIA_NAPIECIA)
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i_mag_sq = i_cpx.real**2 + i_cpx.imag**2
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if i_mag_sq < 1e-9: # Zabezpieczenie przed dzieleniem przez zero
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return 0.0, 0.0
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# Z = U / I = U * conj(I) / |I|^2
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z_cpx = u_cpx * complex(i_cpx.real, -i_cpx.imag) / i_mag_sq
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return z_cpx.real, z_cpx.imag
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# Symulacja "czasu rzeczywistego" próbka po próbce
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for i in range(N, len(t)):
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# Pobranie okna danych (historyczne N próbek aż do obecnej chwili i)
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window_i1 = i1_raw[i-N:i]
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window_i2 = i2_raw[i-N:i]
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window_i3 = i3_raw[i-N:i]
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window_u1 = u1_raw[i-N:i]
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window_u2 = u2_raw[i-N:i]
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window_u3 = u3_raw[i-N:i]
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# Filtracja DFT dla wszystkich faz
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i1_re, i1_im = fcdft(window_i1)
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i2_re, i2_im = fcdft(window_i2)
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i3_re, i3_im = fcdft(window_i3)
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u1_re, u1_im = fcdft(window_u1)
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u2_re, u2_im = fcdft(window_u2)
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u3_re, u3_im = fcdft(window_u3)
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# Tworzenie liczb zespolonych
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I1_cpx = complex(i1_re, i1_im)
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I2_cpx = complex(i2_re, i2_im)
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I3_cpx = complex(i3_re, i3_im)
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U1_cpx = complex(u1_re, u1_im)
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U2_cpx = complex(u2_re, u2_im)
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U3_cpx = complex(u3_re, u3_im)
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# Obliczanie składowych symetrycznych
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I0_cpx = (I1_cpx + I2_cpx + I3_cpx) / 3.0
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I1zg_cpx = (I1_cpx + a * I2_cpx + a2 * I3_cpx) / 3.0
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U0_cpx = (U1_cpx + U2_cpx + U3_cpx) / 3.0
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U1zg_cpx = (U1_cpx + a * U2_cpx + a2 * U3_cpx) / 3.0
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# Przekazanie danych do algorytmu zabezpieczeniowego
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trip_l1 = relay.step_relay('L1', U1_cpx.real, U1_cpx.imag, I1_cpx.real, I1_cpx.imag, I0_cpx.real, I0_cpx.imag, U0_cpx.real, U0_cpx.imag, U1zg_cpx.real, U1zg_cpx.imag, I1zg_cpx.real, I1zg_cpx.imag)
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trip_l2 = relay.step_relay('L2', U2_cpx.real, U2_cpx.imag, I2_cpx.real, I2_cpx.imag, I0_cpx.real, I0_cpx.imag, U0_cpx.real, U0_cpx.imag, U1zg_cpx.real, U1zg_cpx.imag, I1zg_cpx.real, I1zg_cpx.imag)
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trip_l3 = relay.step_relay('L3', U3_cpx.real, U3_cpx.imag, I3_cpx.real, I3_cpx.imag, I0_cpx.real, I0_cpx.imag, U0_cpx.real, U0_cpx.imag, U1zg_cpx.real, U1zg_cpx.imag, I1zg_cpx.real, I1zg_cpx.imag)
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trip_history_L1.append(trip_l1)
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trip_history_L2.append(trip_l2)
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trip_history_L3.append(trip_l3)
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z1_r, z1_x = calculate_impedance(U1_cpx, I1_cpx)
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z2_r, z2_x = calculate_impedance(U2_cpx, I2_cpx)
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z3_r, z3_x = calculate_impedance(U3_cpx, I3_cpx)
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z1_r_history.append(z1_r)
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z1_x_history.append(z1_x)
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z2_r_history.append(z2_r)
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z2_x_history.append(z2_x)
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z3_r_history.append(z3_r)
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z3_x_history.append(z3_x)
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# 5. Rysowanie wyników
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plt.figure(figsize=(16, 12))
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# ... (reszta kodu rysującego i generującego raporty bez zmian, ponieważ bazuje na obiekcie `relay`, który jest już poprawnie skonfigurowany)
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# Prądy faz L1, L2, L3
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plt.subplot(3, 2, 1)
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plt.plot(t[N:], i1_raw[N:], label='I_L1', color='blue')
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plt.plot(t[N:], i2_raw[N:], label='I_L2', color='green')
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plt.plot(t[N:], i3_raw[N:], label='I_L3', color='orange')
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plt.title('Prady faz L1, L2, L3')
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plt.xlabel('Czas [s]')
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plt.ylabel('Prad [A]')
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plt.legend()
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plt.grid(True)
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# Charakterystyka R-X
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plt.subplot(3, 2, 2)
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angle_rad = math.radians(relay.angle_r1)
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# Strefa 1
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if hasattr(relay, 'Z1_R'):
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plt.fill_between(np.linspace(0, relay.Z1_R, 2), -relay.Z1_X, relay.Z1_X, alpha=0.2, color='green', label='Strefa 1')
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# Strefa 2
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if hasattr(relay, 'Z2_R'):
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plt.fill_between(np.linspace(0, relay.Z2_R, 2), -relay.Z2_X, relay.Z2_X, alpha=0.15, color='yellow', label='Strefa 2')
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# Strefa 3
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if hasattr(relay, 'Z3_R'):
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plt.fill_between(np.linspace(0, relay.Z3_R, 2), -relay.Z3_X, relay.Z3_X, alpha=0.1, color='red', label='Strefa 3')
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z_line = np.linspace(0, relay.Z_line_mag * 1.5, 50)
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x_line = z_line * math.tan(angle_rad)
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plt.plot(z_line, x_line, 'k--', linewidth=1, label='Linia Z')
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plt.plot(z1_r_history, z1_x_history, 'b.', markersize=1, alpha=0.5, label='Trajektoria L1')
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plt.plot(z2_r_history, z2_x_history, 'g.', markersize=1, alpha=0.5, label='Trajektoria L2')
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plt.plot(z3_r_history, z3_x_history, 'o', color='orange', markersize=1, alpha=0.5, label='Trajektoria L3')
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xlim_max = (hasattr(relay, 'Z3_R') and relay.Z3_R or (hasattr(relay, 'Z5_R') and relay.Z5_R or 10))
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ylim_max = (hasattr(relay, 'Z3_X') and relay.Z3_X or (hasattr(relay, 'Z5_X') and relay.Z5_X or 20))
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plt.xlim(-1, xlim_max * 1.2)
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plt.ylim(-ylim_max, ylim_max * 1.2)
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plt.xlabel('R [Ohm]')
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plt.ylabel('X [Ohm]')
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plt.title('Charakterystyka R-X zabezpieczenia odleglosciowego')
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plt.legend(loc='upper right', fontsize=8)
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plt.grid(True)
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plt.axhline(y=0, color='k', linewidth=0.5)
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plt.axvline(x=0, color='k', linewidth=0.5)
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# Napięcia faz L1, L2, L3
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plt.subplot(3, 2, 3)
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plt.plot(t[N:], u1_raw[N:], label='U_L1', color='blue')
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plt.plot(t[N:], u2_raw[N:], label='U_L2', color='green')
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plt.plot(t[N:], u3_raw[N:], label='U_L3', color='orange')
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plt.title('Napięcia faz L1, L2, L3')
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plt.xlabel('Czas [s]')
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plt.ylabel('Napięcie [V]')
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plt.legend()
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plt.grid(True)
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# Impedancje faz L1, L2, L3
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plt.subplot(3, 2, 4)
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plt.plot(t[N:], z1_r_history, label='R_L1', color='blue', linestyle='-')
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plt.plot(t[N:], z1_x_history, label='X_L1', color='blue', linestyle='--')
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plt.plot(t[N:], z2_r_history, label='R_L2', color='green', linestyle='-')
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plt.plot(t[N:], z2_x_history, label='X_L2', color='green', linestyle='--')
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plt.plot(t[N:], z3_r_history, label='R_L3', color='orange', linestyle='-')
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plt.plot(t[N:], z3_x_history, label='X_L3', color='orange', linestyle='--')
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plt.title('Impedancje faz (R + jX)')
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plt.xlabel('Czas [s]')
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plt.ylabel('Impedancja [Ohm]')
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plt.legend()
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plt.grid(True)
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# Wyjscia zabezpieczenia
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plt.subplot(3, 2, 5)
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max_val = max(max(i1_raw), max(i2_raw), max(i3_raw)) if any(i1_raw) else 1
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plt.plot(t[N:], i1_raw[N:], label='I_L1', color='blue', alpha=0.5)
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plt.plot(t[N:], i2_raw[N:], label='I_L2', color='green', alpha=0.5)
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plt.plot(t[N:], i3_raw[N:], label='I_L3', color='orange', alpha=0.5)
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plt.plot(t[N:], np.array(trip_history_L1) * max_val, label='Trip L1-E', color='red', linewidth=2)
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plt.plot(t[N:], np.array(trip_history_L2) * max_val, label='Trip L2-E', color='darkred', linewidth=2, linestyle='--')
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plt.plot(t[N:], np.array(trip_history_L3) * max_val, label='Trip L3-E', color='darkorange', linewidth=2, linestyle=':')
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plt.title(f'Wynik testu algorytmu {ALGORITHM_NAME}')
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plt.xlabel('Czas [s]')
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plt.ylabel('Wartosc')
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plt.legend()
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plt.grid(True)
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|
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# Modul impedancji
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plt.subplot(3, 2, 6)
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z1_mag = np.sqrt(np.array(z1_r_history)**2 + np.array(z1_x_history)**2)
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z2_mag = np.sqrt(np.array(z2_r_history)**2 + np.array(z2_x_history)**2)
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z3_mag = np.sqrt(np.array(z3_r_history)**2 + np.array(z3_x_history)**2)
|
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plt.plot(t[N:], z1_mag, label='|Z_L1|', color='blue')
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plt.plot(t[N:], z2_mag, label='|Z_L2|', color='green')
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plt.plot(t[N:], z3_mag, label='|Z_L3|', color='orange')
|
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if hasattr(relay, 'Z1_R'):
|
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z1_reach = np.sqrt(relay.Z1_R**2 + relay.Z1_X**2)
|
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plt.axhline(y=z1_reach, color='green', linestyle='--', label='Z1 reach')
|
|
if hasattr(relay, 'Z2_R'):
|
|
z2_reach = np.sqrt(relay.Z2_R**2 + relay.Z2_X**2)
|
|
plt.axhline(y=z2_reach, color='orange', linestyle='--', label='Z2 reach')
|
|
if hasattr(relay, 'Z3_R'):
|
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z3_reach = np.sqrt(relay.Z3_R**2 + relay.Z3_X**2)
|
|
plt.axhline(y=z3_reach, color='red', linestyle='--', label='Z3 reach')
|
|
plt.title('Modul impedancji |Z|')
|
|
plt.xlabel('Czas [s]')
|
|
plt.ylabel('|Z| [Ohm]')
|
|
plt.legend()
|
|
plt.grid(True)
|
|
|
|
plt.tight_layout()
|
|
output_filename = f"{os.path.splitext(base_name)[0]}_result.png"
|
|
plt.savefig(output_filename)
|
|
print(f"Wynik zapisany do {output_filename}")
|
|
|
|
# Generowanie pliku rezultat.md
|
|
def generate_result_md(t, trip_history_L1, trip_history_L2, trip_history_L3,
|
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z1_r_history, z1_x_history, relay, base_name):
|
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"""Generuje plik rezultat.md z informacjami o wykryciu zwarcia"""
|
|
md_content = [f"# Wynik analizy dla {os.path.basename(base_name)}", ""]
|
|
md_content.append(f"## Parametry zabezpieczenia ({ALGORITHM_DESC})")
|
|
md_content.append(f"- Impedancja linii: R={relay.Z_line_R:.2f} Ohm, X={relay.Z_line_X:.2f} Ohm")
|
|
md_content.append(f"- Kat linii: {relay.line_angle:.1f} st.")
|
|
if hasattr(relay, 'z1_reach'):
|
|
md_content.append(f"- Strefa 1: {relay.z1_reach*100:.0f}% ({relay.t_z1}ms)")
|
|
md_content.append(f"- Strefa 2: {relay.z2_reach*100:.0f}% ({relay.t_z2}ms)")
|
|
md_content.append(f"- Strefa 3: {relay.z3_reach*100:.0f}% ({relay.t_z3}ms)")
|
|
else:
|
|
md_content.append(f"- Strefa 1: R={relay.Z1_R:.2f} Ohm, X={relay.Z1_X:.2f} Ohm ({relay.tZ1}ms)")
|
|
md_content.append(f"- Strefa 2: R={relay.Z2_R:.2f} Ohm, X={relay.Z2_X:.2f} Ohm ({relay.tZ2}ms)")
|
|
md_content.append(f"- Strefa 3: R={relay.Z3_R:.2f} Ohm, X={relay.Z3_X:.2f} Ohm ({relay.tZ3}ms)")
|
|
md_content.append("")
|
|
|
|
trip_any = any(trip_history_L1) or any(trip_history_L2) or any(trip_history_L3)
|
|
|
|
if trip_any:
|
|
md_content.append("## Wykrycie zwarcia: TAK")
|
|
fault_time, fault_phase, fault_idx = -1, "Brak", -1
|
|
for i, (t1, t2, t3) in enumerate(zip(trip_history_L1, trip_history_L2, trip_history_L3)):
|
|
if t1 or t2 or t3:
|
|
fault_time = t[N + i]
|
|
fault_idx = i
|
|
if t1: fault_phase = "L1"
|
|
elif t2: fault_phase = "L2"
|
|
else: fault_phase = "L3"
|
|
break
|
|
|
|
md_content.append(f"- Czas wykrycia: {fault_time * 1000:.2f} ms")
|
|
md_content.append(f"- Faza: {fault_phase}")
|
|
|
|
z_r, z_x = z1_r_history[fault_idx], z1_x_history[fault_idx]
|
|
z_mag = math.sqrt(z_r**2 + z_x**2)
|
|
z_angle = math.degrees(math.atan2(z_x, z_r))
|
|
|
|
md_content.append("## Wartości w momencie zwarcia")
|
|
md_content.append(f"- R = {z_r:.4f} Ohm, X = {z_x:.4f} Ohm")
|
|
md_content.append(f"- |Z| = {z_mag:.4f} Ohm, Kat Z = {z_angle:.2f} st.")
|
|
else:
|
|
md_content.append("## Wykrycie zwarcia: NIE")
|
|
|
|
report_filename = f"{os.path.splitext(base_name)[0]}_rezultat.md"
|
|
with open(report_filename, 'w', encoding='utf-8') as f:
|
|
f.write("\n".join(md_content))
|
|
print(f"Raport zapisany do {report_filename}")
|
|
|
|
generate_result_md(t, trip_history_L1, trip_history_L2, trip_history_L3,
|
|
z1_r_history, z1_x_history, relay, base_name)
|
|
|
|
print("Analiza zakończona.")
|
|
|