Coordinated Planning of Soft Open Point and Energy Storage System for Flexibility Enhancement of New Distribution System

被引：0
|
作者：
He Y. [1 ]
Yang X. [1 ]
Wu H. [1 ]
Qiu R. [1 ,2 ]
Xu B. [2 ]
Ding M. [1 ]
机构：
[1] Anhui Province Key Laboratory of Renewable Energy Utilization and Energy Saving, Hefei University of Technology, Hefei
[2] State Grid Anhui Electric Power Research Institute, Hefei
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2023年 / 47卷 / 18期
基金：
中国国家自然科学基金;
关键词：
coordinated planning; energy storage system (ESS); flexibility; new distribution system; second-order cone programming; simulated annealing algorithm; soft open point (SOP);
D O I：
10.7500/AEPS20230208001
中图分类号：
学科分类号：
摘要：
With the continuous increase in the penetration rate of distributed generators (DGs), the uncertainty of the distribution network is increasing, and there is an urgent need to introduce flexible resources for regulation. The joint introduction of energy storage systems (ESSs) and soft open points (SOPs) can not only provide power flow distribution capabilities on the spatial scale, but also further solve the imbalance between energy supply and demand on the time scale. To this end, considering the flexible characteristics of ESS and SOP comprehensively, the flexibility evaluation indices are established from two aspects of flexibility supply-demand matching and transmission channels. A tri-level coordinated planning model of SOP and ESS for the flexibility enhancement of new distribution system is proposed. Among them, the upper-level conducts ESS planning with the objective of minimizing the equivalent annual value of investment cost for ESS, the middle-level conducts SOP planning with the objective of minimizing the comprehensive annual operation cost of the distribution network, and the lower-level conducts operation optimization with the objective of maximizing the daily average flexibility ability. A bi-directional optimization method is used to generate typical operation scenarios to solve the uncertainty of DGs, and a hybrid optimization algorithm is used to solve the tri-level model. The rationality and effectiveness of the coordinated planning model of the SOP and ESS are verified through case analysis. © 2023 Automation of Electric Power Systems Press. All rights reserved.
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页码：142 / 150
页数：8
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