基于熵值法改进的新型电力错峰资源调度策略
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摘要
为缓解用电高峰时段电网运行压力,同时考虑到负荷集成商基本职能及其具有的自行组织错峰资源调度能力,该文从负荷集成商角度出发,研究在完成错峰资源调度任务前提下,负荷集成商的任务分解及调度策略,使其获取最大收益。构建了用户侧参与错峰资源调度的数学模型,以熵值法为基础,提出针对错峰资源调度问题的动态系数修正机制。遴选了与错峰调度相关的核心指标,根据用户侧动态执行情况实时调整负荷集成商的任务调度策略,并根据负荷集成商收益以及错峰任务完成情况进行评价。结果表明,相对于一般均分法及熵值法,提出的算法策略更能确保负荷集成商完成错峰资源调度任务且实现收益最大化,证明提出的算法策略在错峰资源调度上具有一定的适用性。
In order to ease the power grid operation pressure during peak hours,considering the basic function and the ability to organize load shifting resource dispatching of load aggregators,this paper mainly studies the task decomposition and scheduling policy of load aggregators to make them to maximize the benefits under the completion of load shifting resource dispatching. We construct the mathematical model for the users participating in load shifting resource dispatching,and propose the dynamic coefficient correction mechanism for the load shifting resource dispatching problems based on entropy method. Then we choose the core indicators related load shifting dispatching,adjust the task scheduling strategy of load integrator in real time according to user's lateral dynamic execution,and implement evaluation according to the income of load aggregator and the completion of load shifting task. The results showthat compared with the general average method and entropy method,the proposed algorithm strategy can ensure complete the load shifting resource scheduling tasks and realize the profit maximization for load aggregator,and this algorithm strategy is applicable to the load shifting resource dispatching in some circumstances.
In order to ease the power grid operation pressure during peak hours,considering the basic function and the ability to organize load shifting resource dispatching of load aggregators,this paper mainly studies the task decomposition and scheduling policy of load aggregators to make them to maximize the benefits under the completion of load shifting resource dispatching. We construct the mathematical model for the users participating in load shifting resource dispatching,and propose the dynamic coefficient correction mechanism for the load shifting resource dispatching problems based on entropy method. Then we choose the core indicators related load shifting dispatching,adjust the task scheduling strategy of load integrator in real time according to user's lateral dynamic execution,and implement evaluation according to the income of load aggregator and the completion of load shifting task. The results showthat compared with the general average method and entropy method,the proposed algorithm strategy can ensure complete the load shifting resource scheduling tasks and realize the profit maximization for load aggregator,and this algorithm strategy is applicable to the load shifting resource dispatching in some circumstances.
引文
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[18]高赐威,李倩玉,李扬.基于DLC的空调负荷双层优化调度和控制策略[J].中国电机工程学报,2014,34(10):1546-1555.GAO Ciwei,LI Qianyu,LI Yang.Bi-level optimal dispatch and control strategy for air-conditioning load based on direct load control[J].Proceedings of the CSEE,2014,34(10):1546-1555.
[19]程启月.评测指标权重确定的结构熵值法[J].系统工程理论与实践,2010,30(7):1225-1228.CHENG Qiyue.Structure entropy weight method to confirm the weight of evaluating index[J].Systems Engineering-Theory&Practice,2010,30(7):1225-1228.
[2]孙宇军,李扬,王蓓蓓,等.计及不确定性需求响应的日前调度计划模型[J].电网技术,2014,38(10):2708-2714.SUN Yujun,LI Yang,WANG Beibei,et al.A day-ahead scheduling model considering demand response and its uncertainty[J].Power System Technology,2014,38(10):2708-2714.
[3]于雷,汤庆峰,张建华.基于负荷资源分类建模和启发式策略的家居型微电网优化运行[J].电网技术,2015,39(8):2180-2187.YU Lei,TANG Qingfeng,ZHANG Jianhua.Optimal operation for residential micro-grids based on load resources classification modelling and heuristic strategy[J].Power System Technology,2015,39(8):2180-2187.
[4]祁兵,张荣,李彬,等.自动需求响应信息交换接口设计[J].中国电机工程学报,2014,34(31):5590-5596.QI Bing,ZHANG Rong,LI Bin,et al.Design of automated demand response information exchange interface[J].Proceedings of the CSEE,2014,34(31):5590-5596.
[5]朱宁辉,白晓民,高峰.双向智能电能表功能需求和结构性能分析[J].电网技术,2011,35(11):1-6.ZHU Ninghui,BAI Xiaomin,GAO Feng.Function requirements and structure properties analysis of bi-directional smart meter[J].Power System Technology,2011,35(11):1-6.
[6]胡浙莹.基于多数据源信息整合平台的有序用电管理模式优化研究和应用[D].北京:华北电力大学,2013.HU Zheying.Optimization research and application in the mode of orderly electricity consumption based on the integration of multiple data source[D].Beijing:North China Electric Power University,2013.
[7]JIAW Z,KANG C Q,CHEN Q X.Analysis on demand-side interactive response capability for power system dispatch in a smart grid framework[J].Electric Power Systems Research,2012,90(90):11-17.
[8]WANG Y Z,LIN X,PEDRAM M.A stackelberg game-based optimization framework of the smart grid with distributed PV power generations and data centers[J].IEEE Transactions on Energy Conversion,2014,29(4):978-987.
[9]CAIT X,ZHAO C Y,XU Q.Energy network dispatch optimization under emergency of local energy shortage[J].Energy,2012,42(1):132-145.
[10]张清华,王进,王国胤.粗糙模糊集的近似表示[J].计算机学报,2015,38(7):1484-1496.ZHANG Qinghua,WANG Jin,WANG Guoyin.The approximate representation of rough-fuzzy sets[J].Chinese Journal of Computers,2015,38(7):1484-1496.
[11]李扬,于宏涛,高立群,等.基于专家知识结构的错峰控制限电分配研究[J].继电器,2006,34(19):46-50.LI Yang,YU Hongtao,GAO Liqun,et al.Power limiting distribution research based on expert know ledge structure in peak load shifting control[J].Relay,2006,34(19):46-50.
[12]BRUNO S,DASSISTI M,SCALA M L,et al.Predictive Dispatch across time of hybrid isolated power systems[J].IEEE Transactions on Sustainable Energy,2014,5(3):738-746.
[13]李扬,高立群,于宏涛,等.一种基于非线性多目标群决策的错峰控制限电分配方法[J].东北大学学报(自然科学版),2007,28(7):945-948.LI Yang,GAO Liqun,YU Hongtao,et al.Nonlinear multiobjective group decision for peak load shifting to control power distribution[J].Journal of Northeastern University(Natural Science),2007,28(7):945-948.
[14]LEE T F,CHO M Y,HSIAO Y C,et al.Optimization and implementation of a load control scheduler using relaxed dynamic programming for large air conditioner loads[J].IEEE Transactions on Power Systems,2008,23(2):691-702.
[15]刘畅,张少华,王晛.多时段可中断负荷调度的智能优化算法[J].电力系统保护与控制,2010,38(24):105-109.LIU Chang,ZHANG Shaohua,WANG Xian.Intelligent optimization algorithms for multi-period dispatch of interruptible loads[J].Power System Protection and Control,2010,38(24):105-109.
[16]LI H,ROMERO C E,ZHENG Y.Economic dispatch optimization algorithm based on particle diffusion[J].Energy Conversion and Management,2015,105:1251-1260.
[17]高雷阜.资源分配的多目标优化动态规划模型[J].辽宁工程技术大学学报(自然科学版),2001,20(5):679-681.GAO Leifu.The multi-object fuzzy optimization dynamic-state model about resource allocation[J].Journal of Liaoning Technical University(Natural Science),2001,20(5):679-681.
[18]高赐威,李倩玉,李扬.基于DLC的空调负荷双层优化调度和控制策略[J].中国电机工程学报,2014,34(10):1546-1555.GAO Ciwei,LI Qianyu,LI Yang.Bi-level optimal dispatch and control strategy for air-conditioning load based on direct load control[J].Proceedings of the CSEE,2014,34(10):1546-1555.
[19]程启月.评测指标权重确定的结构熵值法[J].系统工程理论与实践,2010,30(7):1225-1228.CHENG Qiyue.Structure entropy weight method to confirm the weight of evaluating index[J].Systems Engineering-Theory&Practice,2010,30(7):1225-1228.