微网风电容量投资双层优化  

A Bilevel Optimization Problem for Wind Power Capacity Investment in Microgrid

作　　者：周鹏[1] 易国伟[1] 尹昆 翟云峰[1] 叶中行[1] 

机构地区：[1]长沙理工大学电气与信息工程学院,湖南长沙410004 [2]南方电网湛江供电公司,广东湛江524005

出　　处：《电力科学与工程》2015年第6期29-36,共8页Electric Power Science and Engineering

摘　　要：基于双层优化思想,研究微网中独立投资商的风电容量投资问题,建立了风电投资商和微网管理方的双层优化模型。模型中同步考虑了风电安装后的调度,可使投资决策更加合理。上层优化模型中,考虑了一定的风电投资补贴,用场景刻画风电的随机性,通过决策风电安装容量和安装后的风电调度,使风电投资商的利润最大;下层优化模型中,在满足微网系统负荷需求的前提下,使微网供电成本最低。用Karush-Kuhn-Tucker最优化条件(KKT)将双层优化问题转化为单层优化问题,利用分支定界算法求解。最后对某一微网系统进行数值仿真,验证了所提模型的合理性。Based on the idea of bilevel optimization,this paper discusses the problem of the capacity of wind power is invested by an independent investor in a microgrid. A bilevel optimization model which combines the wind power investor and microgrid＇s manager together. In order to make the investment decision more reasonable,the wind power scheduling is also considered in this model. In the upper-level,the investor decides the installed capacity and wind power scheduling to maximize his profit. And the subsidies can also be taken into consideration.The stochastic characteristics of wind power are expressed by scenarios. The lower-level aims to minimize the cost of microgrid power supply on the condition of meeting the system＇s load demand. By the use of the Karush-KuhnTucker optimality conditions,the bilevel model has been transformed into a single level optimization. Then,the single level optimization model can be solved by branch and bound algorithm. Finally,a numerical simulation of the microgrid system is used to verify the rationality of the proposed model.

关 键 词：风电容量投资 风电调度 投资补贴 微网 双层优化 

分 类 号：TM615[电气工程—电力系统及自动化]