考虑负荷分类增长的多目标光伏选址定容双层多阶段规划  

Bi-Level Multi-Stage Planning for Multi-Objective Photovoltaic Siting and Sizing Considering Load Classification Growth

作　　者：杨毅 王明深 庄舒仪 朱继忠 陈一熙 曾琮 文淅宇 YANG Yi;WANG Mingshen;ZHUANG Shuyi;ZHU Jizhong;CHEN Yixi;ZENG Cong;WEN Xiyu(State Grid Jiangsu Electric Power Co.,Ltd.,Research Institute,Nanjing 211103,China;School of Electric Power Engineering,South China University of Technology,Guangzhou 510641,China)

机构地区：[1]国网江苏省电力有限公司电力科学研究院,南京211103 [2]华南理工大学电力学院,广州510640

出　　处：《南方电网技术》2025年第1期41-50,62,共11页Southern Power System Technology

基　　金：国家自然科学基金资助项目(52177087);国网江苏省电力有限公司科技项目(J2022067)。

摘　　要：随着配网中分布式光伏接入规模的逐年扩增,开展分布式光伏选址定容研究对于提高配网经济性与安全性具有重要意义。目前关于光伏选址定容规划的研究大多采用常规单时段规划方法进行建模,忽略了配网的中长期负荷增长特性,这将对模型实际应用效果产生不利影响。为此,提出了一种考虑负荷分类增长的多目标光伏选址定容规划模型。首先,结合动态时间规整(dynamic time warping,DTW)和LightGBM算法实现中长期负荷的分类预测;随后,构建计及负荷分类增长的多目标光伏选址定容双层多阶段规划模型,并引入多目标双层纵横交叉算法(multi-objective bilevel crisscross optimization algorithm,MOBL-CSO)进行求解。在改进的IEEE 33节点系统中的实验结果表明,所提方案能综合考虑整个规划年限中负荷变化进行优化,与传统方法相比能获得更具长期经济性和安全性的光伏选址定容规划方案。With the increasing scale of distributed photovoltaic connected to the distribution network,conducting research on distributed photovoltaic siting and sizing is of great significance for improving the economy and security of the distribution network.Currently,most research on photovoltaic siting and sizing planning adopts conventional single period programming method for problem modeling,ignoring the medium-and long-term loads growth property of the distribution network,which will have a negative impact on the actual application effect of the model.Therefore,a bi-level multi-stage programming model for multi-objective photovoltaic siting and sizing planning that considers load classification growth is proposed.Firstly,the dynamic time warping(DTW)and LightGBM algorithm are combined to achieve classification and prediction of medium-and long-term loads.Then,a two-stage dynamic planning model is constructed for multi-objective photovoltaic siting and sizing planning considering load classification growth,and the multi-objective bi-level crisscross optimization algorithm(MOBL-CSO)is introduced for solving.The experimental results in the modified IEEE 33-bus system indicate that the proposed scheme can comprehensively consider the load changes throughout the entire planning period for optimization,and can obtain a photovoltaic siting and sizing planning scheme that is more long-term safe and economic compared to traditional methods.

关 键 词：分布式光伏 负荷增长 选址定容 配电网 多目标优化 双层多阶段规划 纵横交叉算法 

分 类 号：TM732[电气工程—电力系统及自动化]