Bi-level distributed power planning based on E-C-K means clustering and SOP optimization

被引：0

作者：

Zheng H. ^{[1
]}

Zeng F. ^{[1
]}

Fu Y. ^{[1
]}

Han C. ^{[1
]}

Zhang L. ^{[2
]}

Dong L. ^{[3
]}

机构：

[1] State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Baoding

[2] School of Computer Science and Technology, Harbin Institute of Technology, Harbin

[3] State Grid Qinghai Electric Power Company, Xining

来源：

Taiyangneng Xuebao/Acta Energiae Solaris Sinica | 2022年 / 43卷 / 02期

关键词：

Bi-level planning; Clustering algorithm; Distributed generations; Distribution networks; Soft open point(SOP);

D O I：

10.19912/j.0254-0096.tynxb.2020-0056

中图分类号：

学科分类号：

摘要：

A bi-level optimized configuration model of distributed generations is proposed in distribution networks with soft open point (SOP). The upper-level solves the installation location and capacity with the goal of maximizing the operator's annual revenue. The lower-level optimizes the network operation performance by constraining the SOP. Considering the time series characteristics of the load and distributed power output, a new clustering algorithm is designed to cluster the wind speed and irradiance in four season scenes to obtain the daily curve of typical scenes. Since the distributed power planning problem is a large-scale mixed integer non-linear problem, it is necessary to decouple the discrete variables from the continuous variables. Therefore, a hybrid algorithm of genetic algorithm and original dual interior point method is used to solve the problem. Finally, based on the improved IEEE33 node distribution network system, the validity of the optimization model and the solution method are verified and analyzed. © 2022, Solar Energy Periodical Office Co., Ltd. All right reserved.

引用

页码：127 / 135

页数：8

共 15 条

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