基于多源协同的主动配电网优化控制策略  

Optimal control strategy based on multi-source cooperation for active distribution network

作　　者：李庆波 罗锐 翟旭京 辛超山 边家瑜 LI Qing-bo;LUO Rui;ZHAI Xu-jing;XIN Chao-shan;BIAN Jia-yu(Economic and Technological Research Institute,State Grid Xinjiang Electric Power Co.Ltd.,Urumqi 830000,China)

机构地区：[1]国网新疆电力有限公司经济技术研究院,乌鲁木齐830000

出　　处：《沈阳工业大学学报》2022年第6期601-606,共6页Journal of Shenyang University of Technology

基　　金：国家自然科学基金项目(61033004);国网新疆电力有限公司科技项目(SGXJJY00GHJS1900067).

摘　　要：针对主动配电网负荷预测和协调控制问题,提出了基于多目标优化的主动配电网优化控制算法.利用需求侧与供给侧的概率密度函数和累计分布函数建立了电源侧与负荷侧的预测模型,并以此为基础构建多源协同的主动配电网优化控制模型.通过引入动态变化的缩放因子与交叉因子,提高微分进化算法的全局搜索能力和局部搜索能力,完成了对目标函数的求解.仿真结果表明,在不降低用户满意度的基础上,优化后的配电网调度成本可节约15%以上,清洁能源利用率可达90%以上.Aiming at the problem of load forecasting and coordinated control in active distribution network,an optimal control algorithm based on multi-source optimization was proposed.The probability density function and the cumulative distribution function of demand and supply sides were used to construct the prediction model of power and load sides,and an optimal control model based on the multi-source collaboration for active distribution network was built.By introducing dynamic scale and cross factors,the global and local search abilities of differential evolution algorithm were improved,and the objective function was solved.The simulation results show that the scheduling cost of optimized distribution network decreases by more than 15%and the clean energy utilization rate is higher than 90%,with the prerequisite of nondecreasing customer satisfaction.

关 键 词：主动配电网 多源协同 负荷预测 动态变化 微分进化算法 缩放因子 交叉因子 全局搜索 

分 类 号：TM744[电气工程—电力系统及自动化]