摘要
文中提出一种智能电网环境下可控负荷优化调度的双层优化模型。上层是可控负荷聚合器的优化问题,其目标是通过优化调度3类可控负荷的方式最小化购电成本;下层是电网优化问题,该问题提供电网实时电价给上层优化问题。文中将电网优化问题的KKT条件作为可控负荷优化问题的均衡约束,双层优化问题转换为具有均衡约束的数学规划(Mathematical Program with Equilibrium Constraints,MPEC)问题来求解。算例仿真反映了提出的调度策略的基本特征。
A bi-level optimization model is presented to dispatch controllable loads in smart grid environment. The upper level is an optimal problem about controllable load aggregator for minimizing the electricity payment by dispatching the three types of controllable loads. Meanwhile, the lower level is a power grid problem which provides a spot price to upper level problem. The Karush-Kuhn-Tucker(KKT) optimality conditions of the lower-level problem are used as the equilibrium constraint problem of the upper-level. Therefore, the hilevel formulation is converted into a form of mathematical program with equilibrium constraint(MPEC) ,thus it can be analytically solved. A numerical example is given to demonstrate the performance of the proposed strategy.
出处
《南京邮电大学学报(自然科学版)》
北大核心
2014年第5期99-104,共6页
Journal of Nanjing University of Posts and Telecommunications:Natural Science Edition
基金
国家自然科学基金青年基金(51207074)资助项目
关键词
双层优化
均衡约束规划
调度策略
可控负荷
智能电网
高级量测体系
hi-level optimization
mathematical programming with equilibrium constraints ( MPEC )
dispatch strategy
controllable load
smart grid
advance measurement infrastructure (AMI)