基于利用Aumann-Shapley值分摊网损和排放减少量的DLMP计算研究
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摘要
分布式电源(DG)接入配电网后对系统运行带来影响,提出一种含DG的配电网节点边际电价(DLMP)计算方法。该方法主要包含2个部分:一是通过Aumann-Shapley值法计算网损和排放减少分摊量,得到各DG的有功和无功DLMP值;二是通过迭代计算DG的最优发电出力,保证DG收益的最大化。算例仿真分析表明:基于Aumann-Shapley值分摊的DLMP迭代算法不仅能保证网损和排放减少量在各DG间的公平分摊,还能克服组合爆炸问题;与传统的DLMP计算模型相比,所提出的DLMP计算模型能更大限度地对各DG提供电价激励,减少系统网损和排放量,同时还能实现分摊方案的零销售盈余。
Since the integration of DG(Distributed Generation) into distribution network effects the system operation,a DLMP(Distribution Locational Marginal Price) calculation method with DG is proposed,which mainly consists of two parts. In the first part,the allocation amounts of power loss and emission reduction are calculated by Aumann-Shapley method to obtain the active power and reactive power DLMP of each DG. In the second part,the optimal output of DG is iteratively calculated to maximize the DG profit. Case simulation and analysis show that:the proposed method can not only guarantee fair allocation of power loss and emission reduction among each DG,but also conquer the combinational explosion problem;compared with the traditional DLMP calculation model,the proposed model can provide more financial incentives to each DG and reduce system power loss and emission,meanwhile it can also realize zero sales surplus of the allocation scheme.
Since the integration of DG(Distributed Generation) into distribution network effects the system operation,a DLMP(Distribution Locational Marginal Price) calculation method with DG is proposed,which mainly consists of two parts. In the first part,the allocation amounts of power loss and emission reduction are calculated by Aumann-Shapley method to obtain the active power and reactive power DLMP of each DG. In the second part,the optimal output of DG is iteratively calculated to maximize the DG profit. Case simulation and analysis show that:the proposed method can not only guarantee fair allocation of power loss and emission reduction among each DG,but also conquer the combinational explosion problem;compared with the traditional DLMP calculation model,the proposed model can provide more financial incentives to each DG and reduce system power loss and emission,meanwhile it can also realize zero sales surplus of the allocation scheme.
引文
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[20] 葛炬,张粒子. 备用服务A-S定价方法研究[J]. 中国电机工程学报,2006,26(14):31-35. GE Ju,ZHANG Lizi. Study of reserve Aumann-Shapley pricing mecha-nism[J]. Proceedings of the CSEE,2006,26(14):31-35.
[21] ZANO R O,NERVES A C. An Aumann-Shapley approach to allocation of bilateral transmission loss cost in a gross-pool energy market using independent marginal losses and transaction loss factors[C]//TENCON 2012 IEEE Region 10 Conference. Cebu,Philippines:IEEE,2012:1-5.
[22] CUI Q,WANG X L,WANG X F,et al. Residential appliance direct load control in real-time using cooperative game[J]. IEEE Transactions on Power Systems,2016,31(1):226-233.
[2] 孙惠娟,刘君,彭春华. 基于分类概率综合多场景分析的分布式电源多目标规划[J]. 电力自动化设备,2018,38(12):39-45. SUN Huijuan,LIU Jun,PENG Chunhua. Multi-objective DG planning based on classified probability integration multi-scenario analysis[J]. Electric Power Automation Equipment,2018,38(12):39-45.
[3] 王守相,刘响,张颖. 多DG不确定性建模及其对配电网谐波潮流的影响[J]. 电力自动化设备,2018,38(10):1-6. WANG Shouxiang,LIU Xiang,ZHANG Ying. Uncertainty modeling of multiple DGs and their influence on harmonic power flow in distribution network[J]. Electric Power Automation Equipment,2018,38(10):1-6.
[4] HU Z C,CHENG H Z,YAN Z,et al. An iterative LMP calculation method considering loss distributions[J]. IEEE Transactions on Power Systems,2010,25(3):1469-1477.
[5] PENG J C,JIANG H,XU G,et al. Independent marginal losses with application to locational marginal price calculation[J]. IET Generation,Transmission & Distribution,2009,3(7):679-689.
[6] SOTKIEWICZ P M,VIGNOLO J M. Nodal pricing for distribution networks:efficient pricing for efficiency enhancing DG[J]. IEEE Transactions on Power Systems,2006,21(2):1013-1014.
[7] SOTKIEWICZ P M,VIGNOLO J M. Towards a cost causation-based tariff for distribution networks with DG[J]. IEEE Transactions on Power Systems,2007,22(3):1051-1060.
[8] SHALOUDEGI K,MADINEHI N,HOSSEINIAN S H,et al. A novel policy for locational marginal price calculation in distribution systems based on loss reduction allocation using game theory[J]. IEEE Transactions on Power Systems,2012,27(2):811-820.
[9] FARSANI E A,ABYANEH H A,HOSSEINIAN S H. A novel policy for LMP calculation in distribution networks based on loss and emission reduction allocation using nucleolus theory[J]. IEEE Transactions on Power Systems,2016,31(1):143-152.
[10] LIU G Z,YU C W,LI X R,et al. Impacts of emission trading and renewable energy support schemes on electricity market operation[J]. IET Generation,Transmission & Distribution,2011,5(6):650-655.
[11] MOLINA Y P,SAAVEDRA O R,AMARIS H. Transmission network cost allocation based on circuit theory and the Aumann-Shapley method[J]. IEEE Transactions on Power Systems,2013,28(4):4568-4577.
[12] JUNQUEIRA M,COSTA L C,BARROSO L A,et al. An Aumann-Shapley approach to allocate transmission service cost among network users in electricity markets[J]. IEEE Transactions on Power Systems,2007,22(4):1532-1546.
[13] MOLINA Y P,PRADA R B,SAAVEDRA O R. Complex losses allocation to generators and loads based on circuit theory and Aumann-Shapley method[J]. IEEE Transactions on Power Systems,2010,25(4):1928-1936.
[14] BAKIRTZIS A G. Aumann-Shapley transmission congestion pricing[J]. IEEE Power Engineering Review,2001,21(3):67-69.
[15] 杨洪明,段献忠. 双边交易模式下基于Aumann-Shapley值的阻塞费用分摊方法研究[J]. 中国电机工程学报,2002,22(11):59-63. YANG Hongming,DUAN Xianzhong. A study of the Aumann-Shapley value based allocation method for congestion cost in bilateral tran-saction environment[J]. Proceedings of the CSEE,2002,22(11):59-63.
[16] TAN X,LIE T T. Application of the Shapley value on transmission cost allocation in the competitive power market environment[J]. IEE Proceedings of Generation,Transmission and Distribution,2002,149(1):15-20.
[17] STAMTSIS G C,ERLICH I. Use of cooperative game theory in power system fixed-cost allocation[J]. IEE Proceedings of Generation,Transmission and Distribution,2004,151(3):401-406.
[18] ZOLEZZI J M,RUDNICK H. Transmission cost allocation by coope-rative games and coalition formation[J]. IEEE Transactions on Power Systems,2002,17(4):1008-1015.
[19] 胡朝阳,甘德强,韩祯祥,等. 市场机制下机组启动费用的分摊研究[J]. 电力系统自动化,2004,28(20):1-6. HU Zhaoyang,GAN Deqiang,HAN Zhenxiang,et al. Study on allocation of unit start-up costs under power market environment[J]. Automation of Electric Power Systems,2004,28(20):1-6.
[20] 葛炬,张粒子. 备用服务A-S定价方法研究[J]. 中国电机工程学报,2006,26(14):31-35. GE Ju,ZHANG Lizi. Study of reserve Aumann-Shapley pricing mecha-nism[J]. Proceedings of the CSEE,2006,26(14):31-35.
[21] ZANO R O,NERVES A C. An Aumann-Shapley approach to allocation of bilateral transmission loss cost in a gross-pool energy market using independent marginal losses and transaction loss factors[C]//TENCON 2012 IEEE Region 10 Conference. Cebu,Philippines:IEEE,2012:1-5.
[22] CUI Q,WANG X L,WANG X F,et al. Residential appliance direct load control in real-time using cooperative game[J]. IEEE Transactions on Power Systems,2016,31(1):226-233.