基于多故障曲线辨识的负荷模型参数优化策略  

Optimization Strategy for Identified Load Model Parameters Based on Multi-fault Curves

作　　者：盛四清[1] 朱思宇 马赟婷 余洋[2] SHENG Siqing;ZHU Siyu;MA Yunting;YU Yang(School of Electrical and Electronic Engineering,North China Electric Power University,Baoding 071003,China;State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources,North China Electric Power University,Baoding 071003,China)

机构地区：[1]华北电力大学电气与电子工程学院,河北保定071003 [2]华北电力大学新能源电力系统国家重点实验室,河北保定071003

出　　处：《华北电力大学学报（自然科学版）》2021年第5期15-24,共10页Journal of North China Electric Power University：Natural Science Edition

基　　金：国家自然科学基金资助项目(52077078).

摘　　要：建立高准确度负荷模型是电力系统动态数字仿真的基础,但基于总体测辨法的负荷模型参数辨识仅研究辨识结果对辨识曲线的准确度而未探索其对其他故障场景的适用性。为提高负荷模型准确度和多故障场景适用性,提出一种基于多故障曲线辨识的负荷参数优化策略。首先,分析电力系统故障表现,选取三种典型故障,将其曲线作为待辨识曲线并辨识出负荷参数;其次,引入了整体误差、第一摆幅值、振荡频率、阻尼比等仿真准确度评估指标,通过熵权法确定各指标的权重,进而对负荷模型进行参数综合得到优化负荷参数;最后,通过仿真算例,对比该策略和传统单故障曲线辨识方法的参数拟合误差和对其他故障的适用性。结果验证了所提策略的有效性和多故障场景适用性。The establishment of a high-accuracy load model is the basis of dynamic digital simulation of power systems.However,the load model parameter identification based on the overall identification method only studies the accuracy of the identification results to the to-be-identified curve but does not explore its applicability to other fault scenarios.To improve the accuracy of the load model and the applicability of multiple fault scenarios,an optimization strategy for identified load model parameters is proposed based on by multi-fault curves.Firstly,we analyzed the fault performance of the power system and selected three typical faults whose curves were used as the to-be-identified curve to identify the load parameters.Secondly,the indicators of simulation accuracy evaluation such as overall error,first swing amplitude,oscillation frequency,damping ratio were introduced and the weight coefficient of each indicator was determined with the entropy weight method.Then we carried out the load model performs parameter synthesis and obtained optimized load parameters.Finally,a simulation example is used to compare this strategy to the traditional single-fault curve identification method in the aspects of the parameter fitting error and applicability to other faults.The results show the effectiveness and applicability to multi-fault scenarios of the proposed strategy.

关 键 词：多故障曲线 参数综合 总体测辨法 熵权法 仿真准确度 

分 类 号：TM714[电气工程—电力系统及自动化]