曾博;白婧萌;郭万祝;杨雍琦;曾鸣;

• 1:新能源电力系统国家重点实验室(华北电力大学)
• 2:国网冀北电力有限公司秦皇岛供电公司

摘要(Abstract)：

如何对实施需求响应(demand response,DR)的成本效益进行有效评判是智能配电网(smart distribution network,SDN)规划中必须考虑的重要问题。为此,提出了一种综合评价模型。首先,通过分析当前电力市场环境下SDN参与主体及其利益需求,构建了涵盖技术、经济、环境等多方面在内的DR效益综合评价指标体系。该体系通过引入区间型数据指标,能够有效计及各类不确定因素对DR效益的影响作用。在此基础上,根据问题特点,进一步提出了一种可适应上述不确定性条件下决策的区间灰色关联理想点分析方法。该方法采用专家打分和区间中心点距离法相结合的混合赋权策略,以实现对决策者主观意愿及评价指标自身信息价值的合理兼顾;此外,为避免分析过程中分辨系数选择不当对评价结果造成的不良影响,还提出了一种针对分辨系数的动态调整策略,以提高模型在实际应用中的鲁棒性及判别能力。算例结果验证了所提方法的有效性。

关键词(KeyWords)： 智能配电网;需求响应;指标体系;综合评价方法;不确定性

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目(51507061);; 国家重点研发计划项目(2016YFB0101903)~~

作者(Author): 曾博;白婧萌;郭万祝;杨雍琦;曾鸣;

Email:

DOI: 10.13335/j.1000-3673.pst.2016.1982

参考文献(References)：

• [1]Nouredine H.有源智能配电网[M].北京:中国电力出版社,2012:186-200.
• [2]田世明,王蓓蓓,张晶.智能电网条件下的需求响应关键技术[J].中国电机工程学报,2014,34(22):3576-3588.Tian Shiming,Wang Beibei,Zhang Jing.Key technologies for demand response in smart grid[J].Proceedings of the CSEE,2014,34(22):3576-3588(in Chinese).
• [3]Sharma I,Bhattacharya K,Cańizares C.Smart distribution system operations with price-responsive and controllable loads[J].IEEE Transactions on Smart Grid,2015,6(2):795-807.
• [4]Nolan S,O’Malley M.Challenges and barriers to demand response deployment and evaluation[J].Applied Energy,2015(152):1-10.
• [5]谈金晶,王蓓蓓,李扬.系统动力学在需求响应综合效益评估中的应用[J].电力系统自动化,2014,38(13):128-134.Tan Jinjing,Wang Beibei,Li Yang.Application of system dynamics on comprehensive benefits valuation of demand response[J].Automation of Electric Power Systems,2014,38(13):128-134(in Chinese).
• [6]翟桥柱,王凌云.需求侧响应对降低发电成本的效益估计[J],中国电机工程学报,2014,34(7):1198-1205.Zhai Qiaozhu,Wang Lingyun.Estimation of generating costs reduction as a result of demand response[J].Proceedings of the CSEE,2014,34(7):1198-1205(in Chinese).
• [7]Mistry K D,Roy R.Impact of demand response program in wind integrated distribution network[J].Electric Power Systems Research,2014(108):269-281.
• [8]肖欣,周渝慧,郑凯中,等.台湾实施可中断电价进行削峰填谷的需求响应策略及其成本效益分析[J].中国工程电机学报,2014,34(22):3615-3622.Xiao Xin,Zhou Yuhui,Zheng Kaizhong,et al.Research on strategy of interruptible price and its cost-benefit model aimed at peak load shifting in Taiwan[J].Proceedings of the CSEE,2014,34(22):3615-3622(in Chinese).
• [9]Macedo M N Q,Galo J J M,Almeida L A L,et al.Demand side management using artificial neural networks in a smart grid environment[J].Renewable and Sustainable Energy Reviews,2015(41):128-133.
• [10]Miara A,Tarr C,Spellman R,et al.The power of efficiency:Optimizing environmental and social benefits through demand side management[J].Energy,2014(76):502-512.
• [11]王致杰,刘珊珊,薛松,等.基于熵权与TOPSIS法的需求侧响应资源价值评价模型研究[J].华东电力,2014,42(1):143-149.Wang Zhijie,Liu Shanshan,Xue Song,et al.Evaluation model for demand-side response resource value based on entropy and TOPSIS[J].East China Electric Power,2014,42(1):143-149(in Chinese).
• [12]郭亚军.综合评价理论、方法及拓展[M].北京:科学出版社,2012:55-104.
• [13]Hejazi H A,Araghi A R,Vahidi B,et al.Independent distributed generation planning to profit both utility and DG investors[J].IEEE Transactions on Power Systems,2013,28(2):1170-1178.
• [14]孙盛鹏,刘凤良,薛松.需求侧资源促进可再生能源消纳贡献度综合评价体系[J].电力自动化设备,2015,35(4):77-83.Sun Shengpeng,Liu Fengliang,Xue Song.Comprehensive evaluation system for contribution degree of demand-side resources to renewable energy source integration[J].Automation of Electric Power Systems,2015,35(4):77-83(in Chinese).
• [15]国家发展改革委.电力需求侧管理城市综合试点工作中央财政奖励资金管理暂行办法[EB/OL].[2012-07-03].http://www.nea.gov.cn/2012-07/17/c_131719717.htm.
• [16]高赐威,李倩玉,李慧星,等.基于负荷聚合商业务的需求响应资源整合方法与运营机制[J].电力系统自动化,2013,37(17):78-86.Gao Ciwei,Li Qianyu,Li Huixing,et al.Methodology and operation mechanism of demand response resources integration based on load aggregator[J].Automation of Electric Power Systems,2013,37(17):78-86(in Chinese).
• [17]王深哲,高山,李海峰,等.含高渗透率间歇性电源的电网规划方案优选方法[J].电网技术,2013,37(8):2129-2134.Wang Shenzhe,Gao Shan,Li Haifeng,et al.Optimal selection of planning schemes for power grid with high penetration of intermittent generation[J].Power System Technology,2013,37(8):2129-2134(in Chinese).
• [18]田世明,潘明明,苑嘉航,等.有源重要用户供电风险评估方法研究[J].电网技术,2015,39(1):35-42.Tian Shiming,Pan Mingming,Yuan Jiahang,et al.Power supply risk element assessment for important consumers equipped with standby power supplies[J].Power System Technology,2015,39(1):35-42(in Chinese).
• [19]罗华峰,房鑫炎,俞国勤,等.突发事件下电力应急指挥中心启动辅助决策分析[J].电网技术,2014,38(4):1020-1025.Luo Huafeng,Fang Xinyan,Yu Guoqin,et al.Analysis on auxiliary decision-making for start-up of power emergency command centre under sudden events[J].Power System Technology,2014,38(4):1020-1025(in Chinese).
• [20]周亚.多属性决策中的TOPSIS法研究[D].武汉:武汉理工大学,2009.
• [21]孙晓东,焦玥,胡劲松.基于灰色关联度和理想解法的决策方法研究[J].中国管理科学,2005,13(4):63-68.Sun Xiaodong,Jiao Yue,Hu Jinsong.Research on decision-making method based on gray correlation degree and TOPSIS[J].Chinese Journal of Management Science,2005,13(4):63-68(in Chinese).
• [22]李柏年.模糊数学及其应用[M].合肥:合肥工业大学出版社,2007:11-40.
• [23]张市芳.几种模糊多属性决策方法及其应用[D].西安:电子科技大学,2012.
• [24]张心洁,葛少云,刘洪,等.智能配电网综合评估体系与方法[J].电网技术,2014,38(1):3642-3649.Zhang Xinjie,Ge Shaoyun,Liu Hong,et al.Comprehensive assessment system and method of smart distribution grid[J].Power System Technology,2014,38(1):3642-3649(in Chinese).
• [25]王蓓蓓.面向智能电网的用户需求响应特性和能力研究综述[J].中国电机工程学报,2014,34(22):3654-3663.Wang Beibei.Research on consumers’response characteristics and ability under smart grid:a literatures survey[J].Proceedings of the CSEE,2014,34(22):3654-3663(in Chinese).
• [26]曾博,杨雍琦,段金辉,等.新能源电力系统中需求侧响应关键问题及未来研究展望[J].电力系统自动化,2015,39(17):10-18.Zeng Bo,Yang Yongqi,Duan Jinhui,et al.Key issues and research prospects for demand-side response in alternate electrical power systems with renewable energy sources[J].Automation of Electric Power Systems,2015,39(17):10-18(in Chinese).