基于多能源站协调的区域电力—热力系统日前经济调度
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摘要
随着热电联产、电锅炉等清洁供热单元的大力推广,配电网与区域热力系统的耦合互动日益紧密。基于不同类型区域能源站的构建,从多能源站协调的角度,考虑分布式可再生能源发电在配电网中渗透率不断提高的趋势及三相不平衡配电网、区域能源站、区域热力网络的运行约束,提出区域电力—热力系统日前经济最优调度策略并研究对风电消纳影响。最后,通过三种不同场景下的测试结果,证明多能源站的协调运行可以充分利用多能源优势互补的特性,提高风电消纳率,有效降低配电网网损及区域能源站运行费用,实现经济性目标。
With the promotion of clean heating units such as combined heating and power(CHP)units,electric boilers(EB)and so on,the interaction between electric distribution network(EDN)and the district heating system(DHS)is becoming more and more close.Considering the increasing penetration of distributed renewable energy power generation,an optimal dayahead dispatch strategy of regional electricity-heating integrated systems with the constraints from the unbalanced three-phase electric distribution network,regional energy stations and the district heating network,is proposed from the perspective of the coordination of multiple energy stations.Furthermore,the benefit of this strategy on wind power accommodation is analyzed.Finally,the results under three different scenarios show that the proposed optimal dispatch strategy can take full advantage of multi-energy complementary,improve the consumption rate of wind power,and effectively reduce the losses in EDN and the operation cost of regional energy stations to achieve economic goals.
With the promotion of clean heating units such as combined heating and power(CHP)units,electric boilers(EB)and so on,the interaction between electric distribution network(EDN)and the district heating system(DHS)is becoming more and more close.Considering the increasing penetration of distributed renewable energy power generation,an optimal dayahead dispatch strategy of regional electricity-heating integrated systems with the constraints from the unbalanced three-phase electric distribution network,regional energy stations and the district heating network,is proposed from the perspective of the coordination of multiple energy stations.Furthermore,the benefit of this strategy on wind power accommodation is analyzed.Finally,the results under three different scenarios show that the proposed optimal dispatch strategy can take full advantage of multi-energy complementary,improve the consumption rate of wind power,and effectively reduce the losses in EDN and the operation cost of regional energy stations to achieve economic goals.
引文
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[23]赵晋泉,范晓龙,高宗和,等.含分布式电源的三相不平衡配电网连续潮流计算[J].电力系统自动化,2015,39(9):48-53.DOI:10.7500/AEPS20141130002.ZHAO Jinquan,FAN Xiaolong,GAO Zonghe,et al.Continuation power flow calculation for unbalanced three-phase distribution networks with distributed generators[J].Automation of Electric Power Systems,2015,39(9):48-53.DOI:10.7500/AEPS20141130002.
[24]陈磊,徐飞,王晓,等.储热提升风电消纳能力的实施方式及效果分析[J].中国电机工程学报,2015,35(17):4283-4290.CHEN Lei,XU Fei,WANG Xiao,et al.Implementation and effect of thermal storage in improving wind power accommodation[J].Proceedings of the CSEE,2015,35(17):4283-4290.
[25]YANG J,HE L,FU S.An improved PSO-based charging strategy of electric vehicles in electrical distribution grid[J].Applied Energy,2014,128:82-92.
[26]TANG J,WANG D,WANG X,et al.Study on day-ahead optimal economic operation of active distribution networks based on Kriging model assisted particle swarm optimization with constraint handling techniques[J].Applied Energy,2017,204:143-162.
[27]PIROUTI M,BAGDANAVICIUS A,EKANAYAKE J,et al.Energy consumption and economic analyses of a district heating network[J].Energy,2013,57(8):149-159.
[28]丁华杰,宋永华,胡泽春,等.基于风电场功率特性的日前风电预测误差概率分布研究[J].中国电机工程学报,2013,33(34):136-144.DING Huajie,SONG Yonghua,HU Zechun,et al.Probability density function of day-ahead wind power forecast errors based on power curves of wind farms[J].Proceedings of the CSEE,2013,33(34):136-144.
[2]MANCARELLA P.Multi-energy systems:an overview of concepts and evaluation models[J].Energy,2014,65:1-17.
[3]王伟亮,王丹,贾宏杰,等.能源互联网背景下的典型区域综合能源系统稳态分析研究综述[J].中国电机工程学报,2016,36(12):3292-3305.WANG Weiliang,WANG Dan,JIA Hongjie,et al.Review of steady-state analysis of typical regional integrated energy system under the background of energy internet[J].Proceedings of the CSEE,2016,36(12):3292-3306.
[4]HU K,CHEN L,CHEN Q,et al.Phase-change heat storage installation in combined heat and power plants for integration of renewable energy sources into power system[J].Energy,2017,124:640-651.
[5]舒印彪,张智刚,郭剑波,等.新能源消纳关键因素分析及解决措施研究[J].中国电机工程学报,2017,37(1):1-8.SHU Yinbiao,ZHANG Zhigang,GUO Jianbo,et al.Study on key factors and solution of renewable energy accommodation[J].Proceedings of the CSEE,2017,37(1):1-8.
[6]WANG H,YIN W,ABDOLLAHI E,et al.Modelling and optimization of CHP based district heating system with renewable energy production and energy storage[J].Applied Energy,2015,159:401-421.
[7]尤毅,刘东,钟清,等.主动配电网优化调度策略研究[J].电力系统自动化,2014,38(9):177-183.DOI:10.7500/AEPS20130804001.YOU Yi,LIU Dong,ZHONG Qing,et al.Research on optimal schedule strategy for active distribution network[J].Automation of Electric Power Systems,2014,38(9):177-183.DOI:10.7500/AEPS20130804001.
[8]ZOU K,AGALAONKAR A P,MUTTAQI K M,et al.Distribution system planning with incorporating DG reactive capability and system uncertainties[J].IEEE Transactions on Sustainable Energy,2011,3(1):112-123.
[9]DAI Y,CHEN L,MIN Y,et al.Dispatch model of combined heat and power plant considering heat transfer process[J/OL].IEEE Transactions on Sustainable Energy[2017-11-19].http://ieeexplore.ieee.org/document/8122070/.
[10]STANISLAV P,BRYAN K,TIHOMIR M.Smart grids better with integrated energy system[C]//Electrical Power and Energy Conference(EPEC),October 22-23,2009,Montreal,Canada:1-8.
[11]杨经纬,张宁,王毅,等.面向可再生能源消纳的多能源系统:述评与展望[J].电力系统自动化,2018,42(4),11-24.DOI:10.7500/AEPS20171002004.YANG Jingwei,ZHANG Ning,WANG Yi,et al.Review and prospect of multiple energy systems towards renewable energy accommodation[J].Automation of Electric Power Systems,2018,42(4):11-24.DOI:10.7500/AEPS20171002004.
[12]刘洪,陈星屹,李吉峰,等.基于改进CPSO算法的区域电热综合能源系统经济调度[J].电力自动化设备,2017,37(6):193-200.LIU Hong,CHEN Xingyi,LI Jifeng,et al.Economic dispatch based on improved CPSO algorithm for regional power-heat integrated energy system[J].Electric Power Automation Equipment,2017,37(6):193-200.
[13]WU Q H,ZHENG J,JING Z.Coordinated scheduling of energy resources for distributed DHCs in an integrated energy grid[J].CSEE Journal of Power and Energy Systems,2015,1(1):95-103.
[14]施锦月,许健,曾博,等.基于热电比可调模式的区域综合能源系统双层优化运行[J].电网技术,2016,40(10):2959-2966.SHI Jinyue,XU Jian,ZENG Bo,et al.A bi-level optimal operation for energy hub based on regulating heat-to-electric ratio mode[J].Power System Technology,2016,40(10):2959-2966.
[15]LIU X,WU J,JENKINS N,et al.Combined analysis of electricity and heat networks[J].Applied Energy,2016,162:1238-1255.
[16]徐业琰,彭思成,廖清芬,等.考虑用户互补聚合响应与热能传输延时的综合能源园区运营商两阶段短期优化调度[J].电力自动化设备,2017,37(6):152-163.XU Yeyan,PENG Sicheng,LIU Qingfen,et al.Two-stage short-term optimal dispatch of MEP considering CAUR and HTTD[J].Electric Power Automation Equipment,2017,37(6):152-163.
[17]GU W,WANG J,LU S,et al.Optimal operation for integrated energy system considering thermal inertia of district heating network and buildings[J].Applied Energy,2017,199:234-246.
[18]胡建平,常亮.供热一次网集中量调节技术经济探讨[J].区域供热,2015(6):92-96.HU Jianping,CHANG Liang.The discussion on the quantity regulation of the heating network[J].District Heating,2015(6):92-96.
[19]LI Z,WU W,SHAHIDEHPOUR M,et al.Combined heat and power dispatch considering pipeline energy storage of district heating network[J].IEEE Transactions on Sustainable Energy,2015,7(1):12-22.
[20]SHABANPOUR-HAGHIGHI A,SEIF A R.Simultaneous integrated optimal energy flow of electricity,gas,and heat[J].Energy Conversion and Management,2015,101:579-591.
[21]JO H,KIM S,JOO S.Smart heating and air conditioning scheduling method incorporating customer convenience for home energy management system[J].IEEE Transactions on Consumer Electronics,2013,59(2):316-23.
[22]王成山,王丹,周越,等.智能配电网架构分析及技术挑战[J].电力系统自动化,2015,39(9):2-9.DOI:10.7500/AEPS20141202002.WANG Chengshan,WANG Dan,ZHOU Yue,et al.Framework analysis of technical challenges to smart distribution system[J].Automation of Electric Power Systems,2015,39(9):2-9.DOI:10.7500/AEPS20141202002.
[23]赵晋泉,范晓龙,高宗和,等.含分布式电源的三相不平衡配电网连续潮流计算[J].电力系统自动化,2015,39(9):48-53.DOI:10.7500/AEPS20141130002.ZHAO Jinquan,FAN Xiaolong,GAO Zonghe,et al.Continuation power flow calculation for unbalanced three-phase distribution networks with distributed generators[J].Automation of Electric Power Systems,2015,39(9):48-53.DOI:10.7500/AEPS20141130002.
[24]陈磊,徐飞,王晓,等.储热提升风电消纳能力的实施方式及效果分析[J].中国电机工程学报,2015,35(17):4283-4290.CHEN Lei,XU Fei,WANG Xiao,et al.Implementation and effect of thermal storage in improving wind power accommodation[J].Proceedings of the CSEE,2015,35(17):4283-4290.
[25]YANG J,HE L,FU S.An improved PSO-based charging strategy of electric vehicles in electrical distribution grid[J].Applied Energy,2014,128:82-92.
[26]TANG J,WANG D,WANG X,et al.Study on day-ahead optimal economic operation of active distribution networks based on Kriging model assisted particle swarm optimization with constraint handling techniques[J].Applied Energy,2017,204:143-162.
[27]PIROUTI M,BAGDANAVICIUS A,EKANAYAKE J,et al.Energy consumption and economic analyses of a district heating network[J].Energy,2013,57(8):149-159.
[28]丁华杰,宋永华,胡泽春,等.基于风电场功率特性的日前风电预测误差概率分布研究[J].中国电机工程学报,2013,33(34):136-144.DING Huajie,SONG Yonghua,HU Zechun,et al.Probability density function of day-ahead wind power forecast errors based on power curves of wind farms[J].Proceedings of the CSEE,2013,33(34):136-144.