电网调度中基于储能电站的电力平衡优化研究  

Research on Power Balance Optimization Based on Energy Storage Power Station in Power Grid Dispatching

作　　者：汪杨俊 张百甫 吴小波 王彩利 张雨琛 张悦洋 WANG Yangjun;ZHANG Baifu;WU Xiaobo;WANG Caili;ZHANG Yuchen;ZHANG Yueyang(Anhui Electric Power Design Institute Co.,Ltd.,China Energy Engineering Group,Hefei,Anhui 230601,China)

机构地区：[1]中国能源建设集团安徽省电力设计院有限公司,安徽合肥230601

出　　处：《自动化应用》2025年第7期135-137,共3页Automation Application

摘　　要：提出一种基于储能电站的电力平衡优化方法,采用改进粒子群优化算法实现储能容量优化配置,结合模型预测控制进行实时功率调度,最终通过分布式模型预测控制框架协调多储能系统的联合调度。仿真实验表明,该方法在提高储能利用率、降低电力缺额和系统运行成本方面均表现显著,具有较好的适应性和经济效益。This paper proposes a power balance optimization method based on energy storage power stations.It uses the improved Particle Swarm Optimization algorithm to achieve the optimal configuration of energy storage capacity,combines model predictive control for real-time power dispatching,and finally coordinates the joint dispatching of multiple energy storage systems through the distributed Model Predictive Control framework.Simulation experiments show that this method performs significantly in improving energy storage utilization,reducing power shortage and system operation costs,and has good adaptability and economic benefits.

关 键 词：储能电站 粒子群优化 模型预测控制 

分 类 号：TM73[电气工程—电力系统及自动化]