刘晓峰, 高丙团, 罗京, 汤奕. 基于非合作博弈的居民负荷分层调度模型[J]. 电力系统自动化, 2017, 41(14): 54-60.
引用本文: 刘晓峰, 高丙团, 罗京, 汤奕. 基于非合作博弈的居民负荷分层调度模型[J]. 电力系统自动化, 2017, 41(14): 54-60.
LIU Xiaofeng, GAO Bingtuan, LUO Jing, TANG Yi. Non-cooperative Game Based Hierarchical Dispatch Model of Residential Loads[J]. Automation of Electric Power Systems, 2017, 41(14): 54-60.
Citation: LIU Xiaofeng, GAO Bingtuan, LUO Jing, TANG Yi. Non-cooperative Game Based Hierarchical Dispatch Model of Residential Loads[J]. Automation of Electric Power Systems, 2017, 41(14): 54-60.

基于非合作博弈的居民负荷分层调度模型

Non-cooperative Game Based Hierarchical Dispatch Model of Residential Loads

  • 摘要: 为促进居民用户柔性负荷资源有效参与需求响应,可以利用负荷聚合商来聚合用户负荷资源参与电网调度。通过将居民用户的柔性负荷进行分类,建立电网公司、负荷聚合商和居民用户的分层调度模型。在日前投标环节,构建了以聚合商利润最大化为目标的日前投标博弈模型,利用非合作博弈思想对聚合商在日前投标市场进行分析,并给出了博弈纳什均衡解的存在性证明;在实时调度环节,聚合商以分类柔性负荷各自用电物理特性作为约束条件,以实时调度和日前投标量之间的偏差最小作为目标函数对用户分类柔性负荷进行实时调度,使得在不影响用户舒适度情况下提高聚合商的利润。算例仿真分析结果表明,所建立的分层调度模型可有效实现居民负荷的需求响应,并使得电网公司、负荷聚合商和用户三方均受益。

     

    Abstract: In order to promote the user’s flexible load resources to participate in the demand response effectively,load aggregators can be employed to arrange load resources to participate in the grid dispatch.By dividing the user’s loads into several categories,a hierarchical dispatch model is proposed that consists of the power grid company,load aggregators,and residential users.In day-ahead bidding,the game model is formulated based on maximizing load aggregators’profit,load aggregators’bidding behavior is analyzed with non-cooperative game,and the existence of Nash equilibrium is also given mathematically.In the real-time scheduling,for promoting load aggregators’profit without affecting users’comfortableness,the minimum error between real-time scheduling and bidding results is taken as a goal to schedule users’loads with constraints on three kinds of loads in physical characteristics.A case study validates the effectiveness of the proposed hierarchical dispatch model on demand response of flexible load.And simulation results show that the power network company,load aggregators,and residential users can all benefit simultaneously.

     

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