A Trading Model of PV Microgrid Cluster Based on Cooperative Game Theory
Liu Nian1, Zhao Jing1, Wang Jie1, Lei Jinyong2
1. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing 102206 China; 2. Electric Power Research Institute China Southern Power Grid Guangzhou 510663 China
Abstract:The trade between grid connected photovoltaic (PV) microgrid and distribution network is the most common market transaction mode. In this paper, a market trading model based on cooperative game theory is proposed for the PV microgrid cluster. A certain part of information sharing between PV microgrids in clusters is achieved by intelligence communication and control system. A cooperation alliance of PV microgrids is built allowing the microgrid with surplus power to share the excess power with other microgrids under power shortage, which can promote the whole income of the alliance. In this paper, the Shapley value method is used to distribute the income of the alliance, and a rule of real time transaction settlement is proposed based on the microgrid sub-income size. This rule could be applied in the transaction settlement between microgrids, or between microgrid and distribution network. The effectiveness of the proposed model is verified by case simulations.
刘念, 赵璟, 王杰, 雷金勇. 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, Lei Jinyong. A Trading Model of PV Microgrid Cluster Based on Cooperative Game Theory. Transactions of China Electrotechnical Society, 2018, 33(8): 1903-1910.
[1] 关于进一步深化电力体制改革的若干意见(中发〔2015〕9号)文[Z/OL]. [2015-04-27]. http://www. ne21.com/news/ show-64828.html. [2] 田春光, 田利, 李德鑫, 等. 基于混合储能系统跟踪光伏发电输出功率的控制策略[J]. 电工技术学报, 2016, 31(14): 75-83. Tian Chunguang, Tian Li, Li Dexin, et al.Control strategy for tracking the output power of photovoltaic power generation based on hybrid energy storage system[J]. Transactions of China Electrotechnical Society, 2016, 31(14): 75-83. [3] Liu N, Chen Q, Liu J, et al.A heuristic operation strategy for commercial building microgrids containing EVs and PV system[J]. IEEE Transactions on Industrial Electronics, 2015, 62(4): 2560-2570. [4] 李建林, 马会萌, 惠东. 储能技术融合分布式可再生能源的现状及发展趋势[J]. 电工技术学报, 2016, 31(14): 1-10. Li Jianlin, Ma Huimeng, Hui Dong.Present development condition and trends of energy storage technology in the integration of distributed renewable energy[J]. Transactions of China Electrotechnical Society, 2016, 31(14): 1-10. [5] 吕天光, 艾芊, 韩学山, 等. 基于模糊理论的并网型含光伏微电网功率控制[J]. 电网技术, 2014, 38(9): 2404-2409. Lü Tianguang, Ai Qian, Han Xueshan, et al.Fuzzy theory based grid-connected power control of microgrid containing photovoltaic system[J]. Power System Technology, 2014, 38(9): 2404-2409. [6] 樊玮, 刘念, 张建华. 事件驱动的智能家庭在线能量管理算法[J]. 电工技术学报, 2016, 31(13): 130-140. Fan Wei, Liu Nian, Zhang Jianhua.An online algorithm based on event triggering for energy management of Smart Home[J]. Transactions of China Electrotechnical Society, 2016, 31(13): 130-140. [7] 刘念, 李岩松, 张建华, 等. 微电网互联运行的分时优化与实时控制方法[J]. 电工技术学报, 2016, 31(21): 1-11. Liu Nian, Li Yansong, Zhang Jianhua, et al.Hour- ahead optimization and real-time control method for micro-grid interconnection[J]. Transactions of China Electrotechnical Society, 2016, 31(21): 1-11. [8] 李鹏, 信鹏飞, 窦鹏冲, 等. 计及光伏发电最大功率跟踪的光储微电网功率协调控制方法[J]. 电力系统自动化, 2014, 38(4): 8-13. Li Peng, Xin Pengfei, Dou Pengchong, et al.Power coordinated control of photovoltaic/energy-storage system in microgrid under photovoltaic maximum power point tracking condition[J]. Automation of Electric Power Systems, 2014, 38(4): 8-13. [9] 陈奇芳, 刘念, 陈征, 等. 考虑充电需求与随机事件的光伏充电站实时运行策略[J]. 电工技术学报, 2016, 31(18): 142-150. Chen Qifang, Liu Nian, Chen Zheng, et al.Real-time operation strategy for PV-based EV charging station considering charging demand and random events[J]. Transactions of China Electrotechnical Society, 2016, 31(18): 142-150. [10] 陈征, 肖湘宁, 路欣怡, 等. 含光伏发电系统的电动汽车充电站多目标容量优化配置方法[J]. 电工技术学报, 2013, 28(7): 238-248. Chen Zheng, Xiao Xiangning, Lu Xinyi, et al.Multi- objective optimization for capacity configuration of PV-based electric vehicle charging stations[J]. Transactions of China Electrotechnical Society, 2013, 28(7): 238-248. [11] 刘念, 唐霄, 段帅, 等.考虑动力电池梯次利用的光伏换电站容量优化配置[J]. 中国电机工程学报, 2013, 33(4): 34-44. Liu Nian, Tang Xiao, Duan Shuai, et al.Capacity optimization method for PV-based battery swapping stations considering second-use of electric vehicle batteries[J]. Proceedings of the CSEE, 2013, 33(4): 34-44. [12] 刘健, 林涛, 李龙, 等. 分布式光伏接入情况下配电自动化系统的适应性[J]. 电力系统保护与控制, 2014, 42(20): 7-12. Liu Jian, Lin Tao, Li Long, et al.Adaptability of distribution automation systems to photovoltaic installation[J]. Power System Protection and Control, 2014, 42(20): 7-12. [13] 刘健, 林涛, 同向前, 等. 分布式光伏电源对配电网短路电流影响的仿真分析[J]. 电网技术, 2013, 37(8): 2080-2085. Liu Jian, Lin Tao, Tong Xiangqian, et al.Simulation analysis on influences of distributed photovoltaic generation on short-circuit current in distribution network[J]. Power System Technology, 2013, 37(8): 2080-2085. [14] 茆美琴, 金鹏, 张榴晨, 等. 工业用光伏微网运行策略优化与经济性分析[J]. 电工技术学报, 2014, 29(2): 35-45. Mao Meiqin, Jin Peng, Zhang Liuchen, et al.Optimization of operation strategies and economic analysis of PV microgrids for industries[J]. Transactions of China Electrotechnical Society, 2014, 29(2): 35-45. [15] 肖浩, 裴玮, 孔力, 等. 考虑光伏余电上网的微网出力决策分析及经济效益评估[J]. 电力系统自动化, 2014, 38(10): 10-16. Xiao Hao, Pei Wei, Kong Li, et al.Decision analysis and economic benefit evaluation of microgrid power output considering surplus photovoltaic power selling to grid[J]. Automation of Electric Power Systems, 2014, 38(10): 10-16. [16] 苏剑, 周莉梅, 李蕊. 分布式光伏发电并网的成本/效益分析[J]. 中国电机工程学报, 2013, 33(34): 50-56. Su Jian, Zhou Limei, Li Rui.Cost-benefit analysis of distributed grid-connected photovoltaic power generation[J]. Proceedings of the CSEE, 2013, 33(34): 50-56. [17] Wei C, Fadlullah Z, Kato N, et al.GT-CFS: A game theoretic coalition formulation strategy for reducing power loss in micro grids[J]. IEEE Transactions on Parallel and Distributed Systems, 2013, 25(9): 2307-2317. [18] 栾文鹏, 王冠, 徐大青. 支持多种服务和业务融合的高级量测体系架构[J]. 中国电机工程学报, 2014, 34(29): 5088-5095. Luan Wenpeng, Wang Guan, Xu Daqing.Advanced metering infrastructure solution supporting multiple services and business integration[J]. Proceedings of the CESS, 2014, 34(29): 5088-5095. [19] Couture T, Gagnon Y.An analysis of feed-in tariff remuneration models: Implications for renewable energy investment[J]. Energy Policy, 2010, 38(2): 955-965. [20] 陈华友. 组合预测权系数确定的一种合作对策方法[J]. 预测, 2003, 22(1): 29-32. Chen Youhua.A kind of cooperative games method determining weights of combination forcasting[J]. Forecasting, 2003, 22(1): 29-32. [21] Fan W, Liu N, Zhang J, et al.Online air-conditioning energy management under coalitional game frame- work in smart community[J]. Energies, 2016, DOI: 10.339901en9090689. [22] Liu N, Tang Q, Zhang J, et al.A hybrid forecasting model with parameter optimization for short-term load forecasting of micro-grids[J]. Applied Energy, 2014, 129: 336-345.