浙江电力2024，Vol.43Issue(6)：41-51,11.DOI:10.19585/j.zjdl.202406005
考虑储能调控优化的配电网分布式电源选址定容
Placement and sizing of distributed generation in distribution networks considering energy storage scheduling optimization
摘要
Abstract
Stabilizing the power flow distribution in distribution networks and determining the connection locations and capacities of distributed generation are crucial issues in optimizing the operation of distribution networks with dis-tributed generation.This paper proposes an energy storage scheduling and optimization model based on deep rein-forcement learning(deep RL)to match the relationship between distributed energy resource allocation and electricity load demand,thereby stabilizing power flow distribution in distribution networks with high penetration rates.Using line losses and voltage fluctuations as the loss functions,the paper proposes a decision-making model for placement and sizing of distributed generation based on multi-objective genetic algorithm.Testing is conducted on the IEEE 14-bus system,and the results indicate that the algorithm can effectively select the optimal connection locations and ca-pacities for distributed generation,reducing overall line losses while ensuring voltage amplitude remains stable.关键词
分布式电源/深度强化学习/储能优化/多目标遗传算法/选址定容Key words
distributed generation/deep RL/energy storage optimization/multi-objective genetic algorithm/place-ment and sizing引用本文复制引用
李童宇,武浩然,陈衡,刘涛,李国亮..考虑储能调控优化的配电网分布式电源选址定容[J].浙江电力,2024,43(6):41-51,11.基金项目
国家电网有限公司科技项目(5108-202218280A-2-142-XG) （5108-202218280A-2-142-XG）
