Distribution Grid Siting and Capacity Sizing for Distributed PV and Storage Considering PV Scenario Aggregation

被引:1
|
作者
Yan, Qin [1 ]
Yu, Guoxiang [1 ]
Zeng, Linjun [2 ]
机构
[1] School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha,410114, China
[2] School of Energy and Power Engineering, Changsha University of Science and Technology, Changsha,410114, China
基金
中国国家自然科学基金;
关键词
Multiobjective optimization - Particle swarm optimization (PSO) - Power distribution networks;
D O I
10.16339/j.cnki.hdxbzkb.2024284
中图分类号
学科分类号
摘要
The research on PV aggregation scenarios is the basis and premise for realizing the joint planning of distributed PV and energy storage in regional power grids. It plays a significant role in promoting the full consumption of distributed PV in regional power grids. By analyzing the historical PV data based on the improved K-means++ algorithm aggregation,the typical PV output scenarios were generated. Starting from the distribution network economy,environmental protection and reliability,a PV and energy storage siting and capacity planning model considering the aggregation of photovoltaic scenarios was established. And an analytic hierarchy process (AHP)was introduced to transform the multi-objective optimization problem into a single-objective problem. The multi-objective optimization problem was transformed into a single-objective problem and solved by particle swarm optimization(PSO). The results of the case study show that the proposed PV-scenario aggregation model more accurately depicts the uncertainty of PV output,verifying the effectiveness and feasibility of the model. © 2024 Hunan University. All rights reserved.
引用
收藏
页码:117 / 126
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