主动配电网中多微网鲁棒环境经济调度研究  

ROBUST ENVIRONMENT ECONOMIC SCHEDULING OF MULTIMICROGRIDS IN ACTIVE DISTRIBUTION NETWORK

作　　者：马丽叶[1] 刘美思 尹钰 王志强[1] 卢志刚[1] Ma Liye;Liu Meisi;Yin Yu;Wang Zhiqiang;Lu Zhigang(Key Lab of Power Electronics for Energy Conservation and Motor Drive of Hebei Province,Yanshan University,Qinhuangdao 066004,China)

机构地区：[1]电力电子节能及传动控制河北省重点实验室(燕山大学),秦皇岛066004

出　　处：《太阳能学报》2020年第11期1-10,共10页Acta Energiae Solaris Sinica

基　　金：国家自然科学基金(61304183,61374098)。

摘　　要：针对多微网调度问题,兼顾其经济性与环境性,同时考虑多微网之间的功率交互以及可再生能源和负荷预测的不确定性,建立基于鲁棒优化的多微网鲁棒环境经济调度模型。采用拉丁超立方抽样方法和平均有效目标函数进行模型转化,并利用多目标细菌群体趋药性算法(multi-objective bacterial colony chemotaxis,MOBCC)求得4种情景的Pareto最优解。仿真结果证明,微网间功率交互可减少微网对微型燃气轮机、储能装置和大电网等的依赖性,可降低成本,增强电网的可靠性。由仿真结果可知,鲁棒解的获得是以经济成本和环境成本为代价的,预测误差越大鲁棒解所需成本越大,因此预测准确性对微电网调度至关重要。Along with the economy and environment of the MMGs scheduling problem,the power interaction between multi microgrids and the uncertainty of renewable energy and load forecasting are considered in this paper so as to establish a robust environment economic scheduling model for the active distribution network.The Latin hypercube sampling method and the average effective objective function are used to transform the uncertain model into deterministic model,and the Pareto optimal solution of four scenarios are derived by using multi-objective bacterial colony chemotaxis algorithm(MOBCC).The results show that the power interaction between microgrids can reduce the dependence of the microgrid(MG)on gas turbine,energy storage devices and large sale power grid.It can also reduce the cost and enhance the reliability of the power grid.The simulation results show that the robust solution is obtained at the expense of the economic and environmental costs,the greater the prediction error is,the greater the cost of the robust solution is,therefore,prediction accuracy is very important to the microgrid scheduling.

关 键 词：鲁棒优化 PARETO最优 多目标 多微网 能量交互 多目标细菌群体趋药性算法 

分 类 号：TM315[电气工程—电机]