计入柔性负荷的售电公司参与市场竞价两阶段优化模型  

A Two-Stage Optimization Model of Power Sale Company Participating in Market Bidding Considering Flexible Load

作　　者：杜蜻蜓 刘继春[1] 王冬[1] 杨常 

机构地区：[1]四川省智能电网重点实验室(四川大学电气信息学院),成都市610065

出　　处：《电力建设》2017年第6期142-148,共7页Electric Power Construction

摘　　要：在售电市场开放的环境下,为获取最大社会效益,把售电公司参与市场竞价的行为与其内部的多类型柔性负荷管理有机结合起来,建立两阶段优化模型,第1阶段是售电公司参与市场竞价,第2阶段是在第1阶段基础上售电公司对内部多类型柔性负荷的管理。为配合获取最大社会效益,得到最小柔性负荷补偿费用,售电公司对内部用电客户柔性负荷的中断费用、转移费用和激励费用组成的目标函数进行优化管理。实际算例采用遗传算法(genetic algorithm,GA),以IEEE 14节点测试系统为例验证该模型有效提高了社会整体效益。In the environment of power sale market opening, in order to obtain the most social benefit and combine the market bidding behavior of power sale company with the management of kinds of inner flexible loads organically, this paper proposes a two-stage optimization model, the first stage of which is that power sale company participates in market bidding, the second stage of which is that power sale company manages kinds of inner flexible loads based on the first stage. In order to obtain the most social benefit, and get the minimum flexible load compensation fees, power sale company optimally managed the objective function, which included the interrupt cost, transfer cost and incentive cost of the internal electricity customers flexible loads. The practical example, which was verified by using genetic algorithm （GA） on standard IEEE 14 bus networks, shows that the model has improved the overall benefit of society effectively.

关 键 词：售电公司 社会效益 柔性负荷 遗传算法(GA) 

分 类 号：TM714[电气工程—电力系统及自动化]