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电网技术  2014 

计及不确定性需求响应的日前调度计划模型

DOI: 10.13335/j.1000-3673.pst.2014.10.014, PP. 2708-2714

Keywords: 需求响应,分时电价,可中断负荷,不确定性,模糊机会约束,日前调度计划

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Abstract:

为增强需求侧资源参与日前调度计划的效果,针对不同类型需求侧资源的响应机理进行精细化描述,分别构建了分时电价(time-of-use,TOU)的不确定响应机理模型和考虑时间响应特性的可中断负荷(interruptibleload,IL)机理模型。考虑不确定性的影响,采用模糊参量对TOU实施背景下的日前负荷进行拟合,并将IL作为虚拟机组融入日前调度计划,由此构建基于模糊机会约束的日前调度计划模型。根据不确定规划理论将可信性机会约束转化为清晰等价类,结合混合整数规划方法进行求解。通过算例分析了TOU和IL在日前调度计划编制中发挥的效果,并验证了用户响应不确定性对日前调度计划的影响。

References

[1]  王蓓蓓,李扬,高赐威.智能电网框架下的需求侧管理展望与思考[J].电力系统自动化,2009,33(20):17-22.Wang Beibei,Li Yang,GaoCiwei.Demand side management outlook under smart grid infrastructure[J].Automation of Electric Power Systems,2009,33(20):17-22(in Chinese).
[2]  史常凯,张波,盛万兴,等.灵活互动智能用电的技术架构探讨[J].电网技术,2013,37(10):2868-2874.Shi Changkai,Zhang Bo,Sheng Wanxing,et al.A discussion on technical architecture for flexible intelligent interactive power utilization[J].Power System Technology,2013,37(10):2868-2874(in Chinese).
[3]  Albadi M H,El-Saadany E F.Demand response in electricity markets:An overview[C]//2007 IEEE Power Engineering Society General Meeting.Tampa,FL,USA:IEEE,2007:1-5.
[4]  王蓓蓓,刘小聪,李扬.面向大容量风电接入考虑用户侧互动的系统日前调度和运行模拟研究[J].中国电机工程学报,2013,36(22):35-44.Wang Beibei,Liu Xiaocong,Li Yang.Day-ahead generation scheduling and operation simulation considering demand response in large-capacity wind power integrated system[J].Proceedings of the CSEE,2013,36(22):35-44(in Chinese).
[5]  刘晓,艾欣,彭谦.计及需求响应的含风电场电力系统发电与碳排放权联合优化调度[J].电网技术,2012,36(1):213-218.Liu Xiao,Ai Xin,PengQian.Optimal dispatch coordinating power generation with carbon emission permit for wind farms integrated power grid considering demand response[J].Power System Technology,2012,36(1):213-218(in Chinese).
[6]  Khodaei A,Shahidehpour M,Bahramirad S.SCUC with hourly demand response considering intertemporal load characteristics[J].IEEE Transactions on Power Systems,2011,2(3):564-571.
[7]  Aghaei J,Alizadeh M I.Critical peak pricing with load control demand response program in unit commitment problem[J].IET Generation,Transmission & Distribution,2013,7(7):681-690.
[8]  王卿然,谢国辉,张粒子.含风电系统的发用电一体化调度模型[J].电力系统自动化,2011,35(5):15-18.Wang Qingran,XieGuohui,Zhang Lizi.An integrated generation-consumption dispatch model with wind power[J].Automation of Electric Power Systems,2011,35(5):15-18(in Chinese).
[9]  夏叶,康重庆,宁波,等.用户侧互动模式下发用电一体化调度计划[J].电力系统自动化,2012,36(1):17-23.Xia Ye,Kang Chongqing,Ning Bo,et al.A generation and load integrated scheduling on interaction mode on customer side[J].Automation of Electric Power Systems,2012,36(1):17-23(in Chinese).
[10]  刘小聪,王蓓蓓,李扬,等.智能电网下计及用户侧互动的发电日前调度计划模型[J].中国电机工程学报,2013,33(1):30-39.Liu Xiaocong,Wang Beibei,Li Yang,et al.Day-ahead generation scheduling model considering demand side interaction under smart grid paradigm[J].Proceedings of the CSEE,2013,33(1):30-39(in Chinese).
[11]  秦祯芳,岳顺民,余贻鑫,等.零售端电力市场中的电量电价弹性矩阵[J].电力系统自动化,2004,28(5):16-24.Qin Zhenfang,YueShunming,Yu Yixin,et al.Price elasticity matrix of demand in current retail power market[J].Automation of Electric Power Systems,2004,28(5):16-24(in Chinese).
[12]  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.RuanWenjun,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).
[13]  张璨,王蓓蓓,李扬.典型行业用户需求响应行为研究[J].华东电力,2012,40(10):1701-1705.Zhang Can,Wang Beibei,Li Yang.Demand response behavior of typical industrial users[J].East China Electric Power,2012,40(10):1701-1705(in Chinese).
[14]  王建学,王锡凡,王秀丽.电力市场可中断负荷合同模型研究[J].中国电机工程学报,2005,25(9):11-16.Wang Jianxue,Wang Xifan,Wang Xiuli.Study on model of interruptible load contract in power market[J].Proceedings of the CSEE,2005,25(9):11-16(in Chinese).
[15]  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.GaoCiwei,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(in Chinese).
[16]  李群,张刘东,殷明慧,等.基于模糊决策方法的含风电场电力系统机组组合[J].电网技术,2013,37(9):2480-2485.Li Qun,Zhang Liudong,Yin Minghui,et al.Fuzzy decision-making based unit commitment of power grid integrated with wind farms[J].Power System Technology,2013,37(9):2480-2485(in Chinese).
[17]  熊虎,向铁元,陈红坤,等.含大规模间歇式电源的模糊机会约束机组组合研究[J].中国电机工程学报,2013,33(13):36-44.Xiong Hu,Xiang Tieyuan,Chen Hongkun,et al.Research of fuzzy chance constrained unit commitment containing large-scale intermittent power[J].Proceedings of the CSEE,2013,33(13):36-44(in Chinese).
[18]  Wang Q,Wang J,Guan Y.Stochastic unit commitment with uncertain demand response[J].IEEE Transactions on Power Systems,2013,28(1):562-563.
[19]  Zhao C,Wang J,Watson J P,et al.Multi-stage robust unit commitment considering wind and demand response uncertainties[J].IEEE Transactions on Power Systems,2013,28(3):2708-2717.
[20]  高赐威,陈曦寒,陈江华,等.我国电力需求响应的措施与应用方法[J].电力需求侧管理,2013,15(1):1-6.GaoCiwei,Chen Xihan,Chen Jianghua,et al.Measures and application of China’s demand response[J].Power Demand Side Management,2013,15(1):1-6(in Chinese).
[21]  王蓓蓓,李扬.面向智能电网的电力需求侧管理规划及实施机制[J].电力自动化设备,2010,30(12):19-24.Wang Beibei,Li Yang.Demand side management planning and implementation mechanism for smart grid[J].Electric Power Automation Equipment,2010,30(12):19-24(in Chinese).
[22]  胡福年.电力市场环境下峰谷分时电价理论建模与影响分析[D].南京:南京理工大学,2007.
[23]  刘宝碇,瑞清,王纲.不确定规划及应用[M].清华大学出版社,2003.

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