Probabilistic Optimal Energy Flow of Electricity-Gas-Heat Integrated Energy System Considering Correlation
Han Ji1, 2, Miao Shihong1, 2, Li Chao1, 2, Duan Simo1, 2, Li Yaowang1, 2
1. State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan 430074 China; 2. School of Electrical and Electronic Engineering Huazhong University of Science and Technology Hubei Electric Power Security and High Efficiency Key Laboratory Wuhan 430074 China
Abstract:The integrated energy system, which consists of the coupling and interactions among electric power system, natural gas system and heating power system, plays an important part in “Energy Internet”. A probabilistic optimal energy flow of electricity-gas-heat integrated energy system considering correlation is proposed. Firstly, considering the operation constraints of electric power system, natural gas system, heating power system and energy coupling constraints in IES, an optimal energy flow is proposed with minimized total cost as the objective. Considering the uncertain and correlated variables, a probabilistic optimal energy flow model is proposed, and three point estimate method based on Nataf transformation is adopted to solve the model. Finally, the model is verified on a IES consisting of modified IEEE 24-bus power system, Belgian 20-bus natural gas system and Barry island 32-bus heating power system.
韩佶,苗世洪,李超,段偲默,李姚旺. 计及相关性的电-气-热综合能源系统概率最优能量流[J]. 电工技术学报, 2019, 34(5): 1055-1067.
Han Ji, Miao Shihong, Li Chao, Duan Simo, Li Yaowang. Probabilistic Optimal Energy Flow of Electricity-Gas-Heat Integrated Energy System Considering Correlation. Transactions of China Electrotechnical Society, 2019, 34(5): 1055-1067.
[1] 余晓丹, 徐宪东, 陈硕翼, 等. 综合能源系统与能源互联网简述[J]. 电工技术学报, 2016, 31(1): 1-13. Yu Xiaodan, Xu Xiandong, Chen Shuoyi, et al.A brief review to integrated energy system and energy internet[J]. Transactions of China Electrotechnical Society, 2016, 31(1): 1-13. [2] 王英瑞, 曾博, 郭经, 等. 电-热-气综合能源系统多能流计算方法[J]. 电网技术, 2016, 40(10): 2942-2950. Wang Yingrui, Zeng Bo, Guo Jing, et al.Multi-energy flow calculation method for integrated energy system containing electricity, heat and gas[J]. Power System Technology, 2016, 40(10): 2942-2950. [3] Omalley M, Kroposki B.Energy comes together: the integration of all systems[J]. IEEE Power & Energy Magazine, 2013, 11(5): 18-23. [4] 吴建中. 欧洲综合能源系统发展的驱动与现状[J]. 电力系统自动化, 2016, 40(5): 1-7. Wu Jianzhong.Drivers and state-of-the-art of integrated energy systems in Europe[J]. Automation of Electric Power Systems, 2016, 40(5): 1-7. [5] 王伟亮, 王丹, 贾宏杰, 等. 考虑运行约束的区域电力-天然气-热力综合能源系统能量流优化分析[J].中国电机工程学报, 2017, 37(24): 7108-7120. Wang Weiliang, Wang Dan, Jia Hongjie, et al.Analysis of energy flow optimization in regional electricity-gas-heat integrated energy system considering operational constraints[J]. Proceedings of the CSEE, 2017, 37(24): 7108-7120. [6] Chen Sheng, Wei Zhinong, Sun Guoqiang, et al.Identifying optimal energy flow solvability in electricity-gas integrated energy systems[J]. IEEE Transactions on Sustainable Energy, 2017, 8(2): 846-854. [7] Fang Jiakun, Zeng Qing, Ai Xiaomeng, et al.Dynamic optimal energy flow in the integrated natural gas and electrical power systems[J]. IEEE Transactions on Sustainable Energy, 2018, 9(1): 188-198. [8] Shabanpour-Haghighi A, Seifi A R.Simultaneous integrated optimal energy flow of electricity, gas, and heat[J]. Energy Conversion & Management, 2015, 101: 579-591. [9] Shabanpour-Haghighi A, Seifi A R.Energy flow optimization in multicarrier systems[J]. IEEE Transactions on Industrial Informatics, 2015, 11(5): 1067-1077. [10] Chaudry M, Jenkins N, Strbac G.Multi-time period combined gas and electricity network optimisation[J]. Electric Power Systems Research, 2008, 78(7): 1265-1279. [11] 任洲洋, 颜伟, 项波, 等. 考虑光伏和负荷相关性的概率潮流计算[J]. 电工技术学报, 2015, 30(24): 181-187. Ren Zhouyang, Yan Wei, Xiang Bo, et al.Probabilistic power flow analysis incorporating the correlations between PV power outputs and loads[J]. Transactions of China Electrotechnical Society, 2015, 30(24): 181-187. [12] 薛禹胜, 雷兴, 薛峰, 等. 关于风电不确定性对电力系统影响的评述[J]. 中国电机工程学报, 2014, 34(29): 5029-5040. Xue Yusheng, Lei Xing, Xue Feng, et al.A review on impacts of wind power uncertainties on power systems[J]. Proceedings of the CSEE, 2014, 34(29): 5029-5040. [13] Albadi M H, El-Saadany E F. Demand response in electricity markets: an overview[J]. Power Engineering Society General Meeting, 2007, 14(9): 1-5. [14] 孙国强, 陈霜, 卫志农, 等. 计及相关性的电-气互联系统概率最优潮流[J]. 电力系统自动化, 2015, 39(21): 11-17. Sun Guoqiang, Chen Shuang, Wei Zhinong, et al.Probabilistic optimal power flow of combined natural gas and electric system considering correlation[J]. Automation of Electric Power System, 2015, 39(21): 11-17. [15] Sun Guoqiang, Chen Shuang, Wei Zhinong, et al.Multi-period integrated natural gas and electric power system probabilistic optimal power flow incorporating power-to-gas units[J]. Journal of Modern Power Systems & Clean Energy, 2017, 5(3): 412-423. [16] Martinez-Mares A, Fuerte-Esquivel C R. A robust optimization approach for the interdependency analysis of integrated energy systems considering wind power uncertainty[J]. IEEE Transactions on Power Systems, 2013, 28(4): 3964-3976. [17] 马腾飞, 吴俊勇, 郝亮亮. 含冷热电三联供的微能源网能量流计算及综合仿真[J]. 电力系统自动化, 2016, 40(23): 22-27. Ma Tengfei, Wu Junyong, Hao Liangliang.Energy flow calculation and integrated simulation of micro-energy grid with combined cooling, heating and power[J]. Automation of Electric Power System, 2016, 40(23): 22-27. [18] 杨智斌, 林舜江, 王雅平, 等. 冷热电联供微网能量流的解耦计算方法[J]. 电网技术, 2017, 41(12): 3876-3883. Yang Zhibin, Lin Shunjiang, Wang Yaping, et al.A decoupling method for energy flow calculation of micro-grids with combined cooling, heating and power[J]. Power System Technology, 2017, 41(12): 3876-3883. [19] 孙娟, 卫志农, 孙国强, 等. 计及P2H的电-热互联综合能源系统概率能量流分析[J]. 电力自动化设备, 2017, 37(6): 62-68. Sun Juan, Wei Zhinong, Sun Guoqiang, et al.Analysis of probabilistic energy flow for integrated electricity-heat energy system with P2H[J]. Electric Power Automation Equipment, 2017, 37(6): 62-68. [20] Li Jinghua, Fang Jiakun, Zeng Qing, et al.Optimal operation of the integrated electrical and heating systems to accommodate the intermittent renewable sources[J]. Applied Energy, 2016, 167: 244-254. [21] 顾泽鹏, 康重庆, 陈新宇, 等. 考虑热网约束的电热能源集成系统运行优化及其风电消纳效益分析[J]. 中国电机工程学报, 2015, 35(14): 3596-3604. Gu Zepeng, Kang Chongqing, Chen Xinyu, et al.Operation optimization of integrated power and heat energy systems and the benefit on wind power accommodation considering heating network Constraints[J]. Proceedings of the CSEE, 2015, 35(14): 3596-3604. [22] 李庚银. 电力系统分析基础[M]. 北京: 机械工业出版社, 2011. [23] Chen Sheng, Wei Zhinong, Sun Guoqiang, et al.Multi-linear probabilistic energy flow analysis of integrated electrical and natural-gas systems[J]. IEEE Transactions on Power Systems, 2017, 32(3):1970-1979. [24] 薛海龙. 含可再生能源的热电联供型微网经济协调的多目标优化调度方法[J]. 电气应用, 2015(11): 114-119. Xue Hailong.Multi-objective optimization scheduling method of combined heating and power micro-grid economic coordination consisting of renewable energy[J]. Electrotechnical Application, 2015(11): 114-119. [25] 蒋程, 王硕, 王宝庆, 等. 基于拉丁超立方采样的含风电电力系统的概率可靠性评估[J]. 电工技术学报, 2016, 31(10): 193-206. Jiang Cheng, Wang Shuo, Wang Baoqing, et al.Probabilistic reliability assessment of power system containing wind power based on Latin hypercube sampling[J]. Transactions of China Electrotechnical Society, 2016, 31(10): 193-206. [26] 张立波, 程浩忠, 曾平良, 等. 基于Nataf逆变换的概率潮流三点估计法[J]. 电工技术学报, 2016, 31(6): 187-194. Zhang Libo, Cheng Haozhong, Zeng Pingliang, et al.A three-point estimate method for solving probabilistic load flow based on inverse Nataf transformation[J]. Transactions of China Electrotechnical Society, 2016, 31(6): 187-194.