CAJ | 학술논문

　　针对目前基于故障数据的频域辨识方法难以精确辨识线路分布参数的问题，基于线路分布参数时域模型，提出了一种更精确的分布参数辨识方法。该方法利用线路两端采集的故障电压电流信号，在时域内通过最小二乘搜索法辨识得到线路参数，避免了频域法向量转换导致的误差。并采用瞬时对称分量法提取序分量，实现时域内分别对正序和零序参数的辨识；采用 LOWESS 方法平滑故障信号中的噪声，以提高算法的抗干扰性。仿真算例的结果表明，所提出的方法能够准确辨识线路的分布参数，并且对各种故障条件均具有良好的适应性。
　　침대목전기우고장수거적빈역변식방법난이정학변식선로분포삼수적문제，기우선로분포삼수시역모형，제출료일충경정학적분포삼수변식방법。해방법이용선로량단채집적고장전압전류신호，재시역내통과최소이승수색법변식득도선로삼수，피면료빈역법향량전환도치적오차。병채용순시대칭분량법제취서분량，실현시역내분별대정서화령서삼수적변식；채용 LOWESS 방법평활고장신호중적조성，이제고산법적항간우성。방진산례적결과표명，소제출적방법능구준학변식선로적분포삼수，병차대각충고장조건균구유량호적괄응성。
The existing frequency domain identification methods using fault records can not identify the transmission lines distributed parameters accurately, so this paper proposes a more accurate method of distributed parameter identification based on time-domain model. The method uses the fault voltages and currents measured at both terminals of the lines and calculates the line parameters by the least squares method in time-domain to avoid the error caused by vector transformation using frequency-domain method. It uses instantaneous symmetrical component method extracting sequence component to identify positive-sequence and zero-sequence parameters respectively in time-domain and uses LOWESS method smoothing fault signal noise to enhance the anti-interference performance of algorithm. The simulation results show that the proposed method can effectively identify the distribution parameters, and has high accuracy in a variety of fault conditions.