风电接入后考虑抽蓄-需求响应的多场景联合安全经济调度模型
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摘要
针对风电反调峰性和不确定性,结合抽水蓄能与需求响应各自优势,提出一种风电-抽蓄-需求响应-火电联合安全经济调度新模型。针对负荷转移在时间及电量上的双重属性,设计二维阶梯交叠式成本函数,结合可中断负荷容量及电量成本进而形成需求响应综合成本模型;在考虑抽蓄电站相关约束和系统安全约束基础上,构建基于预测场景和随机场景的调度决策综合成本评估体系。在10机节点系统上通过评估体系对所提模型进行算例仿真,结果表明,所提模型能够进一步降低系统运行成本、延缓投资并减小风电场弃风,增强系统运行经济性。
Aiming at the reverse peak-shaving and uncertainty of wind power,a joint secure & economic dispatch model considering the wind power,pumped storage,demand response and thermal power is proposed to make use of the advantages of pumped storage and demand response. A bidimensional ladder overlapping cost function is designed according to the time and power attributes of load transfer and a comprehensive demand-response cost model including the interruptible load capacity and power cost is formed. A comprehensive assessment system of dispatch cost is constructed based on the predicted and random scenarios,which considers the constraints of pumped storage power station and system security. Simulation is carried out for a 10-bus system and the simulative results show that,based on the proposed model,the system operational cost is decreased,the investment delayed,the wind curtailment reduced and the system operational economy enhanced.
Aiming at the reverse peak-shaving and uncertainty of wind power,a joint secure & economic dispatch model considering the wind power,pumped storage,demand response and thermal power is proposed to make use of the advantages of pumped storage and demand response. A bidimensional ladder overlapping cost function is designed according to the time and power attributes of load transfer and a comprehensive demand-response cost model including the interruptible load capacity and power cost is formed. A comprehensive assessment system of dispatch cost is constructed based on the predicted and random scenarios,which considers the constraints of pumped storage power station and system security. Simulation is carried out for a 10-bus system and the simulative results show that,based on the proposed model,the system operational cost is decreased,the investment delayed,the wind curtailment reduced and the system operational economy enhanced.
引文
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[15]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):30-38.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):30-38.
[16]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,2013,33(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 systems[J].Proceedings of the CSEE,2013,33(22):35-44.
[17]SAHIN C,SHAHIDEHPOUR M,ERKMEN I.Allocation of hourly reserve versus demand response for security-constrained scheduling of stochastic wind energy[J].IEEE Transactions on Sustainable Energy,2012,4(1):219-228.
[18]徐帆,刘军,张涛,等.考虑抽水蓄能机组的机组组合模型及求解[J].电力系统自动化,2012,36(12):36-40.XU Fan,LIU Jun,ZHANG Tao,et al.Unit commitment problem with pumped-storage units[J].Automation of Electric Power Systems,2012,36(12):36-40.
[19]高红均,刘俊勇,刘继春,等.基于坏场景集的含风电机组组合模型[J].电力系统保护与控制,2013,41(10):27-32.GAO Hongjun,LIU Junyong,LIU Jichun,et al.The unit commitment with wind power based on the bad scenario set[J].Power System Protection and Control,2013,41(10):27-32.
[2]ROY S.Inclusion of short duration wind variations in economic load dispatch[J].IEEE Transactions on Sustainable Energy,2012,3(2):265-273.
[3]刘阳,刘俊勇,陈磊,等.大规模风电接入系统的备用优化分配研究[J].中国电力,2012,45(1):50-54.LIU Yang,LIU Junyong,CHEN Lei,et al.Optimal reserve distribution of a grid connected with large scale wind power[J].Electric Power,2012,45(1):50-54.
[4]孔飞飞,晁勤,袁铁江,等.用于短期电网调度的风电场储能容量估算法[J].电力自动化设备,2012,32(7):21-24.KONG Feifei,CHAO Qin,YUAN Tiejiang,et al.Estimation of wind farm energy storage capacity for short term power dispatch[J].Electric Power Automation Equipment,2012,32(7):21-24.
[5]张国新,王蓓蓓.引入需求响应的电力市场运行研究及对我国电力市场改革的思考[J].电力自动化设备,2008,28(10):28-33.ZHANG Guoxin,WANG Beibei.Study of power market operation with demand response and consideration of China’s power market reform[J].Electric Power Automation Equipment,2008,28(10):28-33.
[6]安建强,鞠立伟,尚金成,等.火电、风电与抽水蓄能电站联合运行成本效益分析模型研究[J].水电能源科学,2012,30(12):196-197.AN Jianqiang,JU Liwei,SHANG Jincheng,et al.Cost-benefit analysis model of joint operation of thermal power wind power and pumped storage power station[J].Water Resources and Power,2012,30(12):196-197.
[7]张鹏,刘继春,吕林,等.基于风蓄协调的节能调度方法[J].电力系统保护与控制,2011,39(2):29-34.ZHANG Peng,LIU Jichun,L譈Lin,et al.The energy-saving dispatch based on the coordination between pumped storage hydro and wind energy[J].Power System Protection and Control,2011,39(2):29-34.
[8]胡泽春,丁华杰,孔涛.风电-抽水蓄能联合日运行优化调度模型[J].电力系统自动化,2012,36(2):36-41.HU Zechun,DING Huajie,KONG Tao.A joint daily operational optimization model for wind power and pumped-storage plant[J].Automation of Electric Power Systems,2012,36(2):36-41.
[9]DING Huajie,HU Zechun,SONG Yonghua.Stochastic optimization of the daily operation of wind farm and pumped-hydro-storage plant[J].Renewable Energy,2012(48):571-578.
[10]潘欢,陈锦麟,张党强,等.计及抽蓄电站调峰运行的水火电优化调度[J].电力科学与工程,2013,29(10):1-5.PAN Huan,CHEN Jinlin,ZHANG Dangqiang,et al.Economic dispatch considering the peak load regulation of the pumped storage power stations for power system[J].Electric Power Science and Engineering,2013,29(10):1-5.
[11]JIANG Ruiwei,WANG Jianhui,GUAN Yongpei.Robust unit commitment with wind power and pumped storage hydro[J].IEEE Transactions on Power Systems,2012,27(2):800-810.
[12]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,XIE Guohui,ZHANG Lizi.An integrated generation consumption dispatch model with wind power[J].Automation of Electric Power Systems,2011,35(5):15-18.
[13]杨楠,王波,刘涤尘,等.计及大规模风电和柔性负荷的电力系统供需侧联合随机调度方法[J].中国电机工程学报,2013,33(16):63-69.YANG Nan,WANG Bo,LIU Dichen,et al.An integrated supplydemand stochastic optimization method considering large-scale wind power and flexible load[J].Proceedings of the CSEE,2013,33(6):63-69.
[14]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.
[15]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):30-38.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):30-38.
[16]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,2013,33(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 systems[J].Proceedings of the CSEE,2013,33(22):35-44.
[17]SAHIN C,SHAHIDEHPOUR M,ERKMEN I.Allocation of hourly reserve versus demand response for security-constrained scheduling of stochastic wind energy[J].IEEE Transactions on Sustainable Energy,2012,4(1):219-228.
[18]徐帆,刘军,张涛,等.考虑抽水蓄能机组的机组组合模型及求解[J].电力系统自动化,2012,36(12):36-40.XU Fan,LIU Jun,ZHANG Tao,et al.Unit commitment problem with pumped-storage units[J].Automation of Electric Power Systems,2012,36(12):36-40.
[19]高红均,刘俊勇,刘继春,等.基于坏场景集的含风电机组组合模型[J].电力系统保护与控制,2013,41(10):27-32.GAO Hongjun,LIU Junyong,LIU Jichun,et al.The unit commitment with wind power based on the bad scenario set[J].Power System Protection and Control,2013,41(10):27-32.