配电侧多微电网日前电能交易纳什议价方法
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摘要
随着售电侧电力市场改革的不断深入,研究配电侧多微电网之间的电能交易问题对提升区域经济性具有重要意义。针对该问题,提出一种多微电网电能交易纳什议价方法。该方法以微电网运营商与配电运营商直接交易的最优运行成本作为纳什议价的谈判破裂点,考虑电能在配电网中传输的过网费成本,构建多微电网议价交易的合作博弈模型。并将博弈均衡求解问题转换为2个连续子问题,采用交替方向乘子法进行分布式求解。最后,通过案例分析验证了所提方法对降低多微电网运行成本的有效性。
With deepening reform of the electricity market on retail side, it is of great significance to explore the energy trading of multiple microgrids(MMG) for improving the economy of distribution networks. This paper proposed a Nash bargaining method for MMG energy trading. In the method, the cost of microgrid operator(MGO) directly trading with distribution network operator(DNO) is set as the disagreement point of Nash bargaining. Considering the use-of-system charging(UoSC) of energy transmission through distribution network, a cooperative game model is built to solve the bargaining between MGOs. The game is transformed into two continuous convex sub-problems, which can be solved with alternating direction multiplier method(ADMM) in a distributed manner. Finally, case study is performed to verify effectiveness of the proposed method in reducing the MMG operation cost.
With deepening reform of the electricity market on retail side, it is of great significance to explore the energy trading of multiple microgrids(MMG) for improving the economy of distribution networks. This paper proposed a Nash bargaining method for MMG energy trading. In the method, the cost of microgrid operator(MGO) directly trading with distribution network operator(DNO) is set as the disagreement point of Nash bargaining. Considering the use-of-system charging(UoSC) of energy transmission through distribution network, a cooperative game model is built to solve the bargaining between MGOs. The game is transformed into two continuous convex sub-problems, which can be solved with alternating direction multiplier method(ADMM) in a distributed manner. Finally, case study is performed to verify effectiveness of the proposed method in reducing the MMG operation cost.
引文
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[16]Tian L,Xiaoqi T,Bo S,et al.Energy management of cooperative microgrids:a distributed optimization approach[J].Electrical Power and Energy Systems,2018(96):335-346.
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[18]陈政,张翔,荆朝霞,等.澳大利亚输电过网费定价机制分析[J].南方电网技术,2017,11(2):63-70.Chen Zheng,Zhang Xiang,Jing Zhaoxia,et al.Analysis on transmission network use of system charging methodology in Australia[J].Southern Pover System Technology,2017,11(2):63-70(in Chinese).
[19]张瑞友,韩水,张近朱,等.一种适用于我国电力市场的输电定价方法[J].中国电机工程学报,2008,28(4):78-82.Zhang Ruiyou,Han Shui,Zhang Jinzhu,et al.A kind of transmissionpricing approach for power market in China[J].Proceedings of the CSEE,2008,28(4):78-82(in Chinese).
[20]国家能源局.关于开展分布式发电市场化交易试点的通知[Z].北京:国家能源局,2017.
[21]窦晓波,孙帅,陆斌,等.基于空调自适应修正模型的户用微电网能量优化[J].电力系统自动化,2017,41(15):42-50.Dou Xiaobo,Sun Shuai,Lu Bin,et al.Energy optimization of household microgrid based on adaptive adjustment model of air conditioning[J].Automation of Electric Power Systems,2017,41(15):42-50(in Chinese).
[22]Zhaoyu W,Bokan C,Jianhui W,et al.Decentralized energy management system for networked microgrids in grid-connected and islanded modes[J].IEEE Transactions on Smart Grid,2016,7(2):1097-1105.
[23]Nguyen H K,Khodaei A,Zhu H.Incentive mechanism design for integrated microgrids in peak ramp minimization problem[J].IEEETransactions on Smart Grid,2018,9(6):5574-5785.
[24]Songli F,Qian A,Longjian P.Bargaining-based cooperative energy trading for distribution company and demand response[J].Applied Energy,2018(226):469-482.
[2]赵敏,陈颖,沈沉,等.微电网群特征分析及示范工程设计[J].电网技术,2015,39(6):1469-1476.Zhao Min,Chen Ying,Shen Chen,et al.Characteristic analysis of multi-microgrids and a pilot project design[J].Power System Technology,2015,39(6):1469-1476(in Chinese).
[3]支娜,肖曦,田培根,等.微网群控制技术研究现状与展望[J].电力自动化设备,2016,36(4):107-115.Zhi Na,Xiao Xi,Tian Peigen,et al.Research and prospect of multimicrogrid control strategies[J].Electric Power Automation Equipment,2016,36(4):107-115(in Chinese).
[4]Farzin H,Fotuhi-Firuzabad M,Moeini-Aghtaie M,et al.Role of outage management strategy in reliability performance of multimicrogrid distribution systems[J].IEEE Transactions on Power Systems,2017,33(3):2359-2369.
[5]丁涛,牟晨璐,别朝红,等.能源互联网及其优化运行研究现状综述[J].中国电机工程学报,2018,38(5):4318-4328.Ding Tao,Mu Chenlu,Bie Zhaohong,et al.Review of energy internet and its operation[J].Proceedings of the CSEE,2018,38(5):4318-4328(in Chinese).
[6]乐健,柳永妍,叶曦,等.含高渗透率分布式电能资源的区域电网市场化运营模式[J].中国电机工程学报,2016,36(12):3343-3353.Le Jian,Liu Yongyan,Ye Xi,et al.Market-oriented operation pattern of regional power network integration with high penetration level of distributed energy resources[J].Proceedings of the CSEE,2016,36(12):3343-3353(in Chinese).
[7]江润洲,邱晓燕,李丹.基于多代理的多微网智能配电网动态博弈模型[J].电网技术,2014,38(12):3321-3327.Jiang Runzhou,Qiu Xiaoyan,Li Dan.Multi-agent system based dynamic game model of smart distribution network containing multimicrogrid[J].Power System Technology,2014,38(12):3321-3327(in Chinese).
[8]刘一欣,郭力,王成山.多微电网参与下的配电侧电力市场竞价博弈方法[J].电网技术,2017,41(8):2469-2476.Liu Yixin,Guo Li,Wang Chengshan.Optimal bidding strategy for microgrids in electricity distribution market[J].Power System Technology,2017,41(8):2469-2476(in Chinese).
[9]Jalali M,Zare K,Seyedi H.Strategic decision-making of distribution network operator with multi-microgrids considering demand response program[J].Energy,2017(141):1059-1071.
[10]Youbo L,Kunyu Z,Xueqin L,et al.Dynamic pricing for decentralized energy trading in micro-grids[J].Applied Energy,2018(228):689-699.
[11]赵敏,沈沉,刘锋,等.基于博弈论的多微电网系统交易模式研究[J].中国电机工程学报,2015,35(4):848-857.Zhao Min,Shen Chen,Liu Feng,et al.A game-theoretic approach to analyzing power trading possibilities in multi-microgrids[J].Proceedings of the CSEE,2015,35(4):848-857(in Chinese).
[12]刘念,赵璟,王杰,等.基于合作博弈论的光伏微电网群交易模型[J].电工技术学报,2018,33(8):1903-1910.Liu Nian,Zhao Jing,Wang Jie,et al.A trading model of PV microgrid cluster based on cooperative game theory[J].Transactions of China Electrotechnical Society,2018,33(8):1903-1910(in Chinese).
[13]Lee J H,Guo J,Choi J K,et al.Distributed energy trading in microgrids:a game theoretic model and its equilibrium analysis[j].IEEE Transactions on Industrial Electronics,2015,62(6):1-1.
[14]Mondal A,Misra S,Patel L S,et al.DEMANDS:distributed energy management using noncooperative scheduling in smart grid[J].IEEESystems Journal,2017,12(3):2645-2653.
[15]马天男,彭丽霖,杜英,等.区块链技术下局域多微电网市场竞争博弈模型及求解算法[J].电力自动化设备,2018,38(5):191-203.Ma Tiannan,Peng Lilin,Du Ying,et al.Competition game model for local multi-microgrid market based on block chain technology and its solution algorithm[J].Electric Power Automation Equipment,2018,38(5):191-203(in Chinese).
[16]Tian L,Xiaoqi T,Bo S,et al.Energy management of cooperative microgrids:a distributed optimization approach[J].Electrical Power and Energy Systems,2018(96):335-346.
[17]刘连光,潘明明,田世明,等.考虑源网荷多元主体的售电竞争非合作博弈方法[J].中国电机工程学报,2017,37(6):1618-1626.Liu Lianguang,Pan Mingming,Tian Shiming,et al.A noncooperative game analysis of an competitive electricity retailconsidering multiple subjects of source-grid-load[J].Proceedings of the CSEE,2017,37(6):1618-1626(in Chinese).
[18]陈政,张翔,荆朝霞,等.澳大利亚输电过网费定价机制分析[J].南方电网技术,2017,11(2):63-70.Chen Zheng,Zhang Xiang,Jing Zhaoxia,et al.Analysis on transmission network use of system charging methodology in Australia[J].Southern Pover System Technology,2017,11(2):63-70(in Chinese).
[19]张瑞友,韩水,张近朱,等.一种适用于我国电力市场的输电定价方法[J].中国电机工程学报,2008,28(4):78-82.Zhang Ruiyou,Han Shui,Zhang Jinzhu,et al.A kind of transmissionpricing approach for power market in China[J].Proceedings of the CSEE,2008,28(4):78-82(in Chinese).
[20]国家能源局.关于开展分布式发电市场化交易试点的通知[Z].北京:国家能源局,2017.
[21]窦晓波,孙帅,陆斌,等.基于空调自适应修正模型的户用微电网能量优化[J].电力系统自动化,2017,41(15):42-50.Dou Xiaobo,Sun Shuai,Lu Bin,et al.Energy optimization of household microgrid based on adaptive adjustment model of air conditioning[J].Automation of Electric Power Systems,2017,41(15):42-50(in Chinese).
[22]Zhaoyu W,Bokan C,Jianhui W,et al.Decentralized energy management system for networked microgrids in grid-connected and islanded modes[J].IEEE Transactions on Smart Grid,2016,7(2):1097-1105.
[23]Nguyen H K,Khodaei A,Zhu H.Incentive mechanism design for integrated microgrids in peak ramp minimization problem[J].IEEETransactions on Smart Grid,2018,9(6):5574-5785.
[24]Songli F,Qian A,Longjian P.Bargaining-based cooperative energy trading for distribution company and demand response[J].Applied Energy,2018(226):469-482.