计及适应性与经济性的多目标输电系统结构优化方法研究  

Structural optimization method of multi-objective transmission system considering adaptability and economy

作　　者：何康宁 程浩忠[2] 张衡[2] 王峥[3] 张啸虎[3] 袁杨 He Kangning;Cheng Haozhong;Zhang Heng;Wang Zheng;Zhang Xiaohu;Yuan Yang(Shanghai University of Electric Power,Shanghai 200093,China.;Key Laboratory of Power Transmission and Conversion of Ministry of Education,Shanghai Jiao Tong University,Shanghai 200240,China.;East China Power Grid Company,Shanghai 200002,China)

机构地区：[1]上海电力大学,上海200093 [2]上海交通大学电力传输与功率变换控制教育部重点实验室,上海200240 [3]国家电网公司华东分部,上海200002

出　　处：《电测与仪表》2021年第1期20-25,共6页Electrical Measurement & Instrumentation

基　　金：国家电网公司华东分部科技项目(SGHD0000GHJS1900257)。

摘　　要：为了改善风电并网比例提高后适应性指标恶化的现象,提高电网对高比例风电的适应能力,并协调系统运行策略的经济性,建立了考虑适应性与经济性的多目标输电网结构优化模型。采用聚类算法构建多场景的方式处理源—荷波动产生的海量数据,并通过基于粒子群算法的带权极小模理想点法对多目标模型进行求解。在分析高比例风电并网特征的基础上,提出了包含消纳、经济、波动、故障在内的适应性指标。算例结果表明,该多目标输电网结构优化方法提高了原系统对高比例风电接入的适应性。In order to improve the deterioration of the adaptability index after the increase of the proportion of wind power integration,improve the adaptability of the power grid to high proportion of wind power,and coordinate the economics of the system operation strategy,a multi-objective transmission network structure optimization model considering adaptability and economy is established in this paper.The clustering algorithm is used to construct multi-scene method to process the massive data generated by source-load fluctuation,and the multi-objective model is solved by the weighted minimum modulus ideal point method based on particle swarm optimization.Based on the analysis of the characteristics of high-scale wind power grid-connection,the adaptive index including consumption,economy,fluctuation and fault is proposed.The example results show that the multi-objective transmission network structure optimization method improves the adaptability of the original system to high proportion of wind power access.

关 键 词：高比例风电 适应性 经济性 结构优化 多目标规划 

分 类 号：TM93[电气工程—电力电子与电力传动]