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考虑光伏场景聚合的配电网光储选址定容

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  • 国家科技期刊平台
  • NETL
  • NSTL
  • 万方数据
研究光伏场景聚合是实现区域电网分布式光伏与储能联合规划的前提和基础,对促进配电网分布式光伏的充分消纳具有重要作用.通过基于改进的K-means++算法对历史光伏数据进行聚合分析,得到光伏出力的典型场景聚合,从配电网的经济性出发,兼顾系统运行的可靠性、环保性,建立考虑光伏场景聚合的光储选址定容规划模型,引入层次分析法(analytic hierarchy process,AHP)将多目标优化问题转化为单目标问题,并利用粒子群算法(particle swarm optimization,PSO)进行求解.算例结果表明,提出的光伏场景聚合模型更准确刻画光伏出力的不确定性,验证了该模型的有效性和可行性.
Distribution Grid Siting and Capacity Sizing for Distributed PV and Storage Considering PV Scenario Aggregation
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.

photovoltaic aggregationdistributed photovoltaic generationenergy storage batterysite selection and capacity planningdistribution network

颜勤、余国翔、曾林俊

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长沙理工大学 电气与信息工程学院,湖南 长沙 410114

长沙理工大学 能源与动力工程学院,湖南 长沙 410114

光伏聚合 分布式光伏 储能电池 选址定容 配电网

国家自然科学基金资助项目湖南省自然科学基金资助项目湖南省教育厅优秀青年项目长沙市自然科学基金资助项目

523070802024JJ605722B0318kq2208230

2024

10.16339/j.cnki.hdxbzkb.2024284

湖南大学学报(自然科学版)
湖南大学

湖南大学学报(自然科学版)

CSTPCD北大核心
影响因子：0.651
ISSN：1674-2974
年,卷(期)：2024.51(8)
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