计及用户响应不确定性的可中断负荷储蓄机制  被引量:22

Interruptible Load Based on Deposit Mechanism Considering Uncertainty of Customer Behavior

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作  者:徐青山[1] 刘梦佳[1] 戴蔚莺 黄煜[1] 杨斌 Xu Qingshan;Liu Mengjia;Dai Weiying;Huang Yu;Yang Bin(School of Electrical Engineering,Southeast University,Nanjing,210096,China;Jiangsu Electric Power Company,Nanjing,210028,China)

机构地区:[1]东南大学电气工程学院,南京210096 [2]国网江苏省电力公司,南京210028

出  处:《电工技术学报》2019年第15期3198-3208,共11页Transactions of China Electrotechnical Society

基  金:国家重点研发计划(2016YFB0901100);国家自然科学基金项目(51577028)资助

摘  要:随着电力需求的增长与系统峰谷差的拉大,可中断负荷逐渐成为电力市场环境下需求侧管理的重要组成部分。该文基于消费者心理学原理,构建了用户用电行为的不确定性模型。结合我国电力市场改革进程和过渡期现状,设计了基于储蓄机制的可中断负荷合同内容及实施流程,通过引入积分的思想,将用户可中断资源转换为分值以实现储蓄增值等功能。基于储蓄机制,构建了考虑参与用户和电力公司双方效益的可中断事件决策模型,通过蒙特卡洛方法确定可中断事件的最优激励水平以及最优效益期望值。算例通过与传统可中断负荷方法的比较,验证了储蓄机制的优越性,分析了不同中断场景对决策结果的影响。With the continuously increase of electricity demand as well as peak-valley differences of the power system,interruptible load (IL) has become a significant part of demand side management in the electricity market.Based on the theory of customer behavior,an uncertainty model of customer behavior was proposed.Considering the reform course and current situation of electricity market in China,the contents and implementation rules of interruptible load contract based on deposit mechanism were proposed by introducing the idea of power score into mechanism design.By converting electric power to power scores,the deposit and appreciated function can be realized.Furthermore,an interruptible event decision model considering benefits of both the subscribed customers and the power company was proposed based on the proposed deposit mechanism,which can achieve optimal incentive level and optimal benefit expectation by the use of Monte Carlo simulation.Results of case study have verified the effectiveness of the above-mentioned model by comparing with the traditional interruptible load method.The impact of different scenarios on interruptible event decisions was analyzed as well.

关 键 词:不确定性 储蓄机制 可中断负荷 实施流程 决策模型 

分 类 号:TM73[电气工程—电力系统及自动化]

 

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