Abstract With the orderly progress of energy market reform, an open and fully competitive integrated energy market is expected to be built in the future. As an important market entity, how to optimize the trading strategy in the integrated energy market is still to be carried out. Based on this, this paper constructs a market trading strategy and collaborative optimization method for park-level integrated energy supplier considering the wholesale and retail energy markets. First, this paper analyzes the operating mechanism of wholesale and retail market. Based on the discrete choice model, the effect of retail price on market share is quantified and the forward returns function is constructed. Second, considering the integrated demand response of users, a distributed collaborative optimization model based on the Stackelberg game is constructed. Then, the existence of Stackelberg equilibrium solution is proved and the distributed model is solved by Cuckoo algorithm embedded with quadratic programming. Finally, the simulation verifies the feasibility and superiority of the trading strategy and optimization model proposed in this paper, and provides guidance for integrated energy suppliers to make market trading decisions.
Chen Cen,Wu Chuantao,Lin Xiangning等. Purchase and Sale Strategies of Park Integrated Energy Suppliers in Wholesale and Retail Markets[J]. Transactions of China Electrotechnical Society, 2022, 37(1): 220-231.
[1] 张义志, 王小君, 和敬涵, 等. 考虑供热系统建模的综合能源系统最优能流计算方法[J]. 电工技术学报, 2019, 34(3): 562-570. Zhang Yizhi, Wang Xiaojun, He Jinghan, et al. Optimal energy flow calculation method of integrated energy system considering thermal system modeling[J]. Transactions of China Electrotechnical Society, 2019, 34(3): 562-570. [2] 周长城, 马溪原, 郭祚刚, 等. 面向工程应用的用户级综合能源系统规划[J]. 电工技术学报, 2020, 35(13): 2843-2854. Zhou Changcheng, Ma Xiyuan, Guo Zuogang, et al. User-level integrated energy system planning for engineering applications[J]. Transactions of China Electrotechnical Society, 2020, 35(13): 2843-2854. [3] 谈金晶, 李扬.多能源协同的交易模式研究综述[J]. 中国电机工程学报, 2019, 39(22): 6483-6497. Tan Jinjing, Li Yang.Review on transaction mode in multi-energy collaborative market[J]. Proceedings of the CSEE, 2019, 39(22): 6483-6497. [4] 罗舒瀚, 蒋传文, 王旭, 等. 新电改背景下售电公司的购售电策略及风险评估[J], 电网技术, 2019, 43(3): 944-953. Luo Shuhan, Jiang Chuanwen, Wang Xu, et al. Power trading strategy and risk assessment of electricity retailing company under power system reform[J]. Power System Technology, 2019, 43(3): 944-953. [5] 杨皓钦, 魏震波, 黄宇涵, 等. 跨区域现货市场下多主体购售能主从博弈模型[J]. 电网技术, 2019, 43(8): 2781-2791. Yang Haoqin, Wei Zhengbo, Huang Yuhan, et al. Multi-agent purchase and sale master-slave game model in cross-regional spot market[J]. Power System Technology, 2019, 43(8): 2781-2791. [6] 张晨, 韩新阳, 白翠粉, 等. 基于合作博弈的电力市场模式下售电商购电策略模型[J]. 中国电力, 2017, 50(6): 177-184. Zhang Chen, Han Xinyang, Bai Cuifen, et al. Purchasing strategy model for power supplier based on the cooperative game theory in an open electricity market[J]. Electric Power, 2017, 50(6): 177-184. [7] 赵天辉, 王建学, 陈洋.面向综合能源交易的新型城镇分层市场架构和出清算法[J]. 电力系统自动化, 2021, 45(4): 73-80. Zhao Tianhui, Wang Jianxue, Chen Yang.Hierarchical market structure and clearing algorithm for integrated energy trading of new-type towns[J]. Automation of Electric Power Systems, 2021, 45(4): 73-80. [8] 刘珮云, 丁涛, 贺元康, 等. 基于综合需求响应的负荷聚合商最优市场交易策略[J]. 电力自动化设备, 2019, 39(8): 224-231. Liu Peiyun, Ding Tao, He Yuankang, et al. Optimal trading strategy for load aggregator based on integrated demand response[J]. Electric Power Automation Equipment, 2019, 39(8): 224-231. [9] Chai Bo, Chen Jiming, Yang Zaiyue, et al. Demand response management with multiple utility companies: a two-level game approach[J]. IEEE Transactions on Smart Grid, 2014, 5(2): 722-731. [10] 李鹏, 马溪原, 郭祚刚, 等. 基于双层优化的综合能源服务商博弈策略[J]. 电网技术, 2021, 45(2): 460-469. Li Peng, Ma Xiyuan, Guo Zuogang, et al. Research on game strategy of integrated energy service providers based on bi-level optimization[J]. Power System Technology, 2021, 45(2): 460-469. [11] Wu Jie, Zhou Wenhui, Zhong Weifang, et al. Multi-energy demand response management in energy internet: a Stackelberg game approach[J]. Chinese Journal of Electronics, 2019, 28(3): 640-644. [12] Bahrami S, Sheikhi A.From demand response in smart grid toward integrated demand response in smart energy Hub[J]. IEEE Transactions on Smart Grid, 2016, 7(2): 650-658. [13] 聂光华.中国天然气价格变动传导效应分析[J]. 天然气工业, 2012, 32(12): 114-117, 137. Nie Guanghua.Analysis of the transmission effect of natural gas price fluctuation in China[J]. Natural Gas Industry, 2012, 32(12): 114-117, 137. [14] 李晓龙.基于市场微观结构理论的我国电力期货市场构建研究[D]. 北京: 华北电力大学(北京), 2019. [15] 龙苏岩, 冯凯, 徐骏, 等. 电力现货市场下不平衡费用构成及分摊机制研究[J]. 电网技术, 2019, 43(8): 2649-2658. Long Suyan, Feng Kai, Xu Jun, et al. Research on unbalanced cost composition and allocation mechanism in spot electricity market[J]. Power System Technology, 2019, 43(8): 2649-2658. [16] 任姝艳, 黄国飞, 张倩.中国天然气现货市场与期货市场关系研究[J]. 能源与节能, 2014(1): 4-5, 20. Ren Shuyan, Huang Guofei, Zhang Qian.Research on the relationship between spot market and futures market of natural gas in China[J]. Energy and Energy Conservation, 2014(1): 4-5, 20. [17] 罗琴.市场环境下售电公司购售电策略研究[D]. 上海: 上海交通大学, 2014. [18] 王灿, 王德, 朱玮, 等. 离散选择模型研究进展[J]. 地理科学进展, 2015, 34(10): 1275-1287. Wang Can, Wang De, Zhu Wei, et al. Research progress of discrete choice models[J]. Progress in Geography, 2015, 34(10): 1275-1287. [19] 刘勇, 王高.离散选择模型在零售研究中的应用—基于MNL、MNP和Mixed Logit的比较[C]//中国高等院校市场学研究会2009年年会论文集, 北京, 2009: 351-364. [20] 夏鹏, 刘文颖, 张尧翔, 等. 考虑风电高阶不确定性的分布式鲁棒优化调度模型[J]. 电工技术学报 2020, 35(1): 189-200. Xia Peng, Liu Yingwen, Zhang Yaoxiang, et al. A distributionally robust optimization scheduling model considering higher-order uncertainty of wind power[J]. Transactions of China Electrotechnical Society, 2020, 35(1): 189-200. [21] 竺如洁, 韦化, 白晓清.多源动态最优潮流的分布鲁棒优化方法[J]. 中国电机工程学报, 2020, 40(11): 3489-3498. Zhu Rujie, Wei Hua, Bai Xiaoqian.Distributionally robust optimization of multi-energy dynamic optimal power flow[J]. Proceedings of the CSEE, 2020, 40(11): 3489-3498. [22] 丛昊, 王旭, 蒋传文, 等. 基于联盟博弈的综合能源系统优化运行方法[J]. 电力系统自动化, 2018, 42(14): 14-22. Cong Hao, Wang Xu, Jiang Chuanwen, et al. Coalition game based optimized operation method for integrated energy systems[J]. Automation of Electric Power Systems, 2018, 42(14): 14-22. [23] 熊宇峰, 司杨, 郑天文, 等. 基于主从博弈的工业园区综合能源系统氢储能优化配置[J]. 电工技术学报, 2021, 36(3): 507-516. Xiong Yufeng, Si Yang, Zheng Tianwen, et al. Optimal configuration of hydrogen storage in industrial park integrated energy system based on Stackelberg game[J]. Transactions of China Electrotechnical Society, 2021, 36(3): 507-516. [24] 周长城, 马溪原, 郭晓斌, 等. 基于主从博弈的工业园区综合能源系统互动优化运行方法[J]. 电力系统自动化, 2019, 43(7): 74-84. Zhou Changcheng, Ma Xiyuan, Guo Xiaobin, et al. Leader-follower game based optimized operation method for interaction of integrated energy system in industrial park[J]. Automation of Electric Power Systems, 2019, 43(7): 74-84. [25] 张艺瀛, 金志刚.求解多峰优化问题的改进布谷鸟算法[J]. 哈尔滨工业大学学报, 2019, 51(11): 89-99. Zhang Yiying, Jin Zhigang, An improved Cuckoo search for multimodal optimization problems[J]. Journal of Harbin Institute of Technology, 2019, 51(11): 89-99. [26] 李宇泽, 齐峰, 朱英伟, 等. 多能互补综合能源电力系统的建设模式初探[J]. 电力科学与技术学报, 2019, 34(1): 3-10. Li Hongze, Qi Feng, Zhu Yingwei, et al. A preliminary investigation on construction modes of a multi-energy complementary integrated energy system[J]. Journal of Electric Power Science and Technology, 2019, 34(1): 3-10. [27] 高滢.计及综合需求响应的电-气互联能源系统协同规划[D]. 杭州: 浙江大学, 2019. [28] 刁涵彬, 李培强, 王继飞, 等. 考虑电/热储能互补协调的综合能源系统优化调度[J]. 电工技术学报, 2020, 35(21): 4532-4543. Diao Hanbin, Li Peiqiang, Wang Jifei, et al. Optimal dispatch of integrated energy system considering complementary coordination of electric/thermal energy storage[J]. Transactions of China Electrote-chnical Society, 2020, 35(21): 4532-4543. [29] 丛昊, 王旭, 蒋传文.电力-天然气异步市场环境下的综合能源系统优化运行策略[J]. 电网技术, 2019, 43(9): 3110-3120. Cong Hao, Wang Xu, Jiang Chuanwen.Strategies of optimal operation of integrated energy system in asynchronous market environment[J]. Power System Technology, 2019, 43(9): 3110-3120. [30] 董骁翀, 孙英云, 蒲天骄, 等. 一种基于Wasserstein距离及有效性指标的最优场景约简方法[J]. 中国电机工程学报, 2019, 39(16): 4650-4658, 4968. Dong Xiaochong, Sun Yingyun, Pu Tianjiao, et al. An optimal scenario reduction method based on Wasserstein distance and validity index[J]. Proceedings of the CSEE, 2019, 39(16): 4650-4658, 4968.
2022, Vol. 37 
