东北电力技术2023，Vol.44Issue(12)：17-24,8.
基于灰狼算法的微电网源网荷储优化配置研究
Research on Optimal Allocation of Source Network Load Storage in Microgrid Based on Grey Wolf Algorithm
鲍彦文 1董鹤楠 2李雯雯 3徐海博 4孙瑞雪4
作者信息
- 1. 国网大连供电公司,辽宁 大连 116001
- 2. 国网辽宁省电力有限公司电力科学研究院,辽宁 沈阳 110006
- 3. 沈阳农业大学信息与电气工程学院,辽宁 沈阳 110866
- 4. 国网辽宁省电力有限公司实业分公司,辽宁 沈阳 110179
- 折叠
摘要
Abstract
With the proposal of the"dual carbon"goal,microgrids rapidly develope as small power systems that combine distributed power sources with user loads,making them more flexible,reliable,and cost-effective compared to traditional power grids.As an im-portant part of the microgrid planning phase,the optimized configuration of distributed power sources is crucial for the cost of micro-grids,meeting load demands,and adapting to local renewable energy consumption.A microgrid load adjustment model and demand re-sponse cost model are constructed considering both price and incentive demand responses.Based on this,a microgrid source network load optimization configuration method considering demand response is proposed,and the Grey Wolf algorithm is used for solution anal-ysis.At the same time,evaluation indicators for microgrid self balance rate and renewable energy source utilization rate are intro-duced.Finally,the model is validated through the measured data of a numerical example,analyzing the impact of demand response on microgrid optimization configuration before and after,and providing reference for the selection of microgrid optimization configuration schemes under different evaluation index levels.关键词
微电网/需求响应/灰狼算法Key words
microgrid/demand response/Grey Wolf algorithm分类
动力与电气工程引用本文复制引用
鲍彦文,董鹤楠,李雯雯,徐海博,孙瑞雪..基于灰狼算法的微电网源网荷储优化配置研究[J].东北电力技术,2023,44(12):17-24,8.
