沈瑜;岳园园;闫华光;陈霄;李德智;易永仙;郭炳庆;

• 1:电力系统及发电设备控制和仿真国家重点实验室(清华大学电机系)
• 2:电网安全与节能国家重点实验室(中国电力科学研究院)
• 3:国家电网公司电能计量重点实验室(国网江苏省电力公司)

摘要(Abstract)：

用户侧日益丰富的需求响应资源尚未得到充分利用,为此提出了地区电网的需求响应资源聚合与调控策略。首先,提出了基于设备级仿真的需求响应资源评估机制;其次,构建了多用户负荷群的需求响应资源聚合模型,提出需求响应资源品质划分标准,构建优质资源快速备调池;然后,以需求响应资源参与电网峰时段调峰优化运行为例,提出了需求响应资源的调控策略,并设计了对电网和用户双向激励的需求响应收益分享机制;最后,以IEEE 14节点配电网算例进行仿真,验证了提出策略的有效性。

关键词(KeyWords)： 需求响应;调控策略;资源聚合;仿真平台

Abstract:

Keywords:

基金项目(Foundation): 国家电网公司科学技术项目(“基于复合信息的需求响应多级调控关键技术研究”)~~

作者(Author): 沈瑜;岳园园;闫华光;陈霄;李德智;易永仙;郭炳庆;

Email:

DOI:

参考文献(References)：

• [1]国家发展和改革委员会.国家发展改革委关于有序用电管理办法的通知[R].北京:国家发展和改革委员会,2011.
• [2]Albadi M H,El-Saadany E F.A summary of demand response in electricity markets[J].Electric Power Systems Research.2008,78(11):1989-1996.
• [3]Aghajani G R,Shayanfar H A,Shayeghi H.Demand side management in a smart micro-grid in the presence of renewable generation and demand response[J].Energy,2017(126):622-637.
• [4]Chen S,Chen Q,Xu Y.Strategic bidding and compensation mechanism for a load aggregator with direct thermostat control capabilities[J/OL].IEEE Transactions on Smart Grid,2017,PP(99):1-10[2017-01-20].http://ieeexplore.ieee.org/document/7572057/.DOI:10.1109/TSG.2016.2611611.
• [5]Roos A,Ottesen S?,Bolkesj?T F.Modeling consumer flexibility of an aggregator participating in the wholesale power market and the regulation capacity market[J].Energy Procedia,2014(58):79-86.
• [6]Hansen T M,Roche R,Suryanarayanan S,et al.Heuristic optimization for an aggregator-based resource allocation in the smart grid[J].IEEE Transactions on Smart Grid,2015,6(4):1785-1794.
• [7]Panwar L K,Konda S R,Verma A,et al.Demand response aggregator coordinated two-stage responsive load scheduling in distribution system considering customer behaviour[J].IET Generation,Transmission&Distribution,2016,11(4):1023-1032.
• [8]Khodaei A,Shahidehpour M,Bahramirad S.SCUC with hourly demand response considering intertemporal load characteristics[J].IEEE Transactions on Smart Grid,2011,2(2):564-571.
• [9]Aghaei J,Alizadeh M.Critical peak pricing with load control demand response program in unit commitment problem[J].IET Generation Transmission&Distribution,2013,7(7):681-690.
• [10]张宁,胡兆光,周渝慧,等.考虑需求侧低碳资源的新型模糊双目标机组组合模型[J].电力系统自动化,2014,38(17):25-30.Zhang Ning,Hu Zhaoguang,Zhou Yuhui,et al.A novel fuzzy bi-objective unit commitment model considering demand side low-corbon resources[J].Automation of Electric Power Systems,2014,38(17):25-30(in Chinese).
• [11]Ramchurn S D,Vytelingum P,Rogers A,et al.Agent-based control for decentralized demand side management in the smart grid[C]//The10th International Conference on Autonomous Agents and Multiagent Systems-Volume 1.International Foundation for Autonomous Agents and Multiagent Systems,Taipei,Taiwan:2011:5-12.
• [12]曹斌,刘文霞,王睿喆,等.考虑电网运行风险的发用电一体化调度方法[J].电网技术,2015,39(9):2578-2584.Cao Bin,Liu Wenxia,Wang Ruizhe,et al.A generation and load integrated scheduling method considering grid operation risk[J].Power System Technology,2015,39(9):2578-2584(in Chinese).
• [13]阮文骏,王蓓蓓,李扬,等.峰谷分时电价下的用户响应行为研究[J].电网技术,2012,36(7):86-93.Ruan Wenjun,Wang Beibei,Li Yang,et al.Customer Response behavior in Time-of-Use price[J].Power System Technology,2012,36(7):86-93(in Chinese).
• [14]D’hulst R,Labeeuw W,Beusen B,et al.Demand response flexibility and flexibility potential of residential smart appliances:Experiences from large pilot test in Belgium[J].Applied Energy,2015(155):79-90.
• [15]刘继东,韩学山,韩伟吉,等.分时电价下用户响应行为的模型与算法[J].电网技术,2013,37(10):2973-2978.Liu Jidong,Han Xueshan,Han Weiji,et al.Model and algorithm of customers’responsive behavior under time-of-use price[J].Power System Technology,2013,37(10):2973-2978(in Chinese).
• [16]Abreu J,Camara Pereira F,Vasconcelos J,et al.An approach to discover the potential for demand response in the domestic sector[C]//2010 IEEE Conference on.Innovative Technologies for an Efficient and Reliable Electricity Supply(CITRES).Waltham,USA:IEEE,2010:240-245.
• [17]张良杰,高赐威,宋总涛.需求响应资源调查方法研究[J].电力与能源,2015,36(4):464-469.Zhang Liangjie,Gao Ciwei,Song Zongtao.Research of demand response resource investigation method[J].Power&Energy,2015,36(4):464-469(in Chinese).
• [18]Lu N,Zhang Y.Design considerations of a centralized load controller using thermostatically controlled appliances for continuous regulation reserves[J].IEEE Transactions on Smart Grid,2013,4(2):914-921.
• [19]Bashash S,Fathy H K.Modeling and control of aggregate air conditioning loads for robust renewable power management[J].IEEE Transactions on Control Systems Technology,2013,21(4):1318-1327.
• [20]刘萌,褚晓东,张文,等.基于多样性保持的空调负荷群调度控制策略[J].中国电机工程学报,2014,34(22):3674-3682.Liu Meng,Chu Xiaodong,Zhang Wen,et al.Dispatch and control strategies for air-conditioning load groups based on maintenance of load diversity[J].Proceedings of the CSEE,2014,34(22):3674-3682(in Chinese).
• [21]Collin A J,Acosta J L,Hayes B P,et al.Component-based aggregate load models for combined power flow and harmonic analysis[C]//7th Mediterranean Conference and Exhibition on Power Generation,Transmission,Distribution and Energy Conversion(Med Power 2010).Agia,Napa:2010:1-10.
• [22]Collin A J,Tsagarakis G,Kiprakis A E,et al.Development of low-voltage load models for the residential load sector[J].IEEE Transactions on Power Systems.2014,29(5):2180-2188.
• [23]张素香,刘建明,赵丙镇,等.基于云计算的居民用电行为分析模型研究[J].电网技术,2013,37(6):1542-1546.Zhang Suxiang,Liu Jianming,Zhao Bingzhen,et al.Cloud computing-based analysis on residential electricity consumption behavior[J].Power System Technology,2013,37(6):1542-1546(in Chinese).
• [24]杨永标,颜庆国,徐石明,等.公共楼宇空调负荷参与电网虚拟调峰的思考[J].电力系统自动化,2015,39(17):103-107.Yang Yongbiao,Yan Qingguo,Xu Shiming,et al.Continuous probabilistic load flow analysis considering response process of price-based load[J].Automation of Electric Power Systems,2015,39(17):103-107(in Chinese).
• [25]Martínez Cese?a,E A,Good N,et al.Electrical network capacity support from demand side response:Techno-economic assessment of potential business cases for small commercial and residential end-users[J].Energy Policy,2015(82):222-232.
• [26]张娜,夏天,张婷,等.智能电网下的工业用户需求响应影响因素研究[J].华东电力,2013,41(1):37-41.Zhang Na,Xia Tian,Zhang Ting,et al.Influence factors of industrial customers'demand response for smart grid[J].East China Electric Power,2013,41(1):37-41(in Chinese).
• [27]Rahnama S,Green T,Lyhne C H,et al.Industrial demand management providing ancillary services to the distribution grid:experimental verification[J].IEEE Transactions on Control Systems Technology,2017,25(2):485-495.
• [28]陈铭,刘娆,吕泉,等.AGC机组分群控制策略[J].电网技术,2013,37(3):868-873.Chen Ming,Liu Rao,LüQuan,et al.A grouping control strategy for AGC units[J].Power System Technology,2013,37(3):868-873(in Chinese).
• [29]江苏省物价局.江苏省物价局关于调整电价有关事项的通知[R].江苏:江苏省物价局办公室,2016.