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A Two-Stage Distributionally Robust Economic Dispatch Model Under the Coordination of Inter-Provincial and Intra-Provincial Bi-Level Market
Received date: 2022-04-24
Revised date: 2022-05-25
Accepted date: 2022-08-05
Online published: 2023-09-27
To promote the optimal allocation of resources across the country, China is actively developing inter-provincial electricity transactions, and will gradually form an inter-provincial and intra-provincial electricity market operation mode. In this context, a two-stage day-ahead, and intraday economic dispatch framework considering inter-provincial and intra-provincial bi-level market coordinated operation is proposed. In the day-ahead dispatch stage, an inter-provincial and intra-provincial bi-level economic dispatch model is constructed. In the intraday dispatch stage, an economic dispatch model considering the forecast error of source-load is constructed. To further deal with the influence of the uncertainty of source-load forecast on economic dispatch, a two-stage day-ahead and intraday distributionally robust economic dispatch model and its solution method are proposed, realizing the economic dispatch under random scene ambiguity set. Finally, a multi-sending ends and multi-receiving ends interconnected test system is constructed using IEEE 39-bus and 118-bus systems. The effectiveness of the proposed model and method is verified by simulation.
Yi CHEN , Han WANG , Xiaoyuan XU , Youlin HU , Zheng YAN , Dan ZENG , Kai FENG . A Two-Stage Distributionally Robust Economic Dispatch Model Under the Coordination of Inter-Provincial and Intra-Provincial Bi-Level Market[J]. Journal of Shanghai Jiaotong University, 2023 , 57(9) : 1114 -1125 . DOI: 10.16183/j.cnki.jsjtu.2022.121
[1] | ZHANG Y, ZHANG J Y, YANG Z F, et al. Analysis of the distribution and evolution of energy supply and demand centers of gravity in China[J]. Energy Policy, 2012, 49: 695-706. |
[2] | YI B W, XU J H, FAN Y. Inter-regional power grid planning up to 2030 in China considering renewable energy development and regional pollutant control: A multi-region bottom-up optimization model[J]. Applied Energy, 2016, 184: 641-658. |
[3] | 国家能源局. 清洁低碳, 能源结构这样转型[EB/OL]. (2021-04-09)[2022-04-15]. http://www.nea.gov.cn/2021-04/09/c_139869431.htm. |
[3] | National Energy Administration. Clean and low-carbon, energy structure transformation[EB/OL]. (2021-04-09)[2022-04-15]. http://www.nea.gov.cn/2021-04/09/c_139869431.htm. |
[4] | 郭立邦, 丁一, 包铭磊, 等. 两级电力市场环境下计及风险的省间交易商最优购电模型[J]. 电网技术, 2019, 43(8): 2726-2734. |
[4] | GUO Libang, DING Yi, BAO Minglei, et al. An optimal power purchase model of inter-provincial traders in two-level electricity market considering risk management[J]. Power System Technology, 2019, 43(8): 2726-2734. |
[5] | 许丹, 梁访, 黄国栋, 等. 考虑多级调度的跨省区大电网安全约束经济调度模型[J]. 电力系统自动化, 2019, 43(22): 94-100. |
[5] | XU Dan, LIANG Fang, HUANG Guodong, et al. Security constrained economic dispatch model of inter-provincial power grid considering multi-level dispatch[J]. Automation of Electric Power Systems, 2019, 43(22): 94-100. |
[6] | 李国庆, 李欣彤, 边竞, 等. 计及光伏-负荷预测不确定性的直流跨省互联电网双级调度策略[J]. 中国电机工程学报, 2021, 41(14): 4763-4776. |
[6] | LI Guoqing, LI Xintong, BIAN Jing, et al. Two level scheduling strategy for inter-provincial DC power grid considering the uncertainty of PV-load prediction[J]. Proceeding of the CSEE, 2021, 41(14): 4763-4776. |
[7] | 徐帆, 丁恰, 韩红卫, 等. 促进跨区新能源消纳的直流联络线功率优化模型及分析[J]. 电力系统自动化, 2017, 41(18): 152-159. |
[7] | XU Fan, DING Qia, HAN Hongwei, et al. Power optimization model and analysis of HVDC tie-line for promoting integration of inter-regional renewable energy accommodation[J]. Automation of Electric Power Systems, 2017, 41(18): 152-159. |
[8] | 李骥, 张慧媛, 程杰慧, 等. 基于源荷状态的跨区互联系统协调优化调度[J]. 电力系统自动化, 2020, 44(17): 26-33. |
[8] | LI Ji, ZHANG Huiyuan, CHENG Jiehui, et al. Coordinated and optimal scheduling of inter-regional interconnection system based on source and load status[J]. Automation of Electric Power Systems, 2020, 44(17): 26-33. |
[9] | 陈磊, 姜飞, 叶泽, 等. 考虑电网运行风险的省间转供电力交易补偿模型[J]. 电网技术, 2020, 44 (12): 4583-4592. |
[9] | CHEN Lei, JIANG Fei, YE Ze, et al. Compensation model of inter-provincial transfer electricity transaction considering grid operation risk[J]. Power System Technology, 2020, 44(12): 4583-4592. |
[10] | ZHENG Q P, WANG J H, PARDALOS P M, et al. A decomposition approach to the two-stage stochastic unit commitment problem[J]. Annals of Operations Research, 2013, 210(1): 387-410. |
[11] | LI T, SHAHIDEHPOUR M, LI Z Y, et al. Risk-constrained bidding strategy with stochastic unit commitment[J]. IEEE Transactions on Power Systems, 2007, 22(1): 449-458. |
[12] | 徐秋实, 邓长虹, 赵维兴, 等. 含风电电力系统的多场景鲁棒调度方法[J]. 电网技术, 2014, 38(3): 653-661. |
[12] | XU Qiushi, DENG Changhong, ZHAO Weixing, et al. A multi-scenario robust dispatch method for power grid integrated with wind farms[J]. Power System Technology, 2014, 38 (3): 653-661. |
[13] | LUBIN M, DVORKIN Y, BACKHAUS S. A robust approach to chance constrained optimal power flow with renewable generation[J]. IEEE Transactions on Power Systems, 2016, 31(5): 3840-3849. |
[14] | STREET A, OLIVEIRA F, ARROYO J M. Contingency-constrained unit commitment with n-K security criterion: A robust optimization approach[J]. IEEE Transactions on Power Systems, 2011, 26(3): 1581-1590. |
[15] | SHANG C, YOU F Q. Distributionally robust optimization for planning and scheduling under uncertainty[J]. Computers & Chemical Engineering, 2018, 110(2): 53-68. |
[16] | ZHAO C Y, GUAN Y P. Data-driven stochastic unit commitment for integrating wind generation[J]. IEEE Transactions on Power Systems, 2016, 31(4): 2587-2596. |
[17] | 税月, 刘俊勇, 高红均, 等. 考虑风电不确定性的电热综合系统分布鲁棒协调优化调度模型[J]. 中国电机工程学报, 2018, 38(24): 7235-7247. |
[17] | SHUI Yue, LIU Junyong, GAO Hongjun, et al. A distributionally robust coordinated dispatch model for integrated electricity and heating systems considering uncertainty of wind power[J]. Proceedings of the CSEE, 2018, 38(24): 7235-7247. |
[18] | 曾丹, 谢开, 庞博, 等. 中国特色、全国统一的电力市场关键问题研究(3): 省间省内电力市场协调运行的交易出清模型[J]. 电网技术, 2020, 44(8): 2809-2819. |
[18] | ZENG Dan, XIE Kai, PANG Bo, et al. Key issues of national unified electricity market with Chinese characteristics (3): Transaction clearing models and algorithms adapting to the coordinated operation of provincial electricity markets[J]. Power System Technology, 2020, 44(8): 2809-2819. |
[19] | 陈之栩. 节点边际电价与阻塞管理算法的研究[D]. 北京: 华北电力大学(北京), 2007. |
[19] | CHEN Zhixu. Study on locational marginal prices and congestion management algorithm[D]. Beijing: North China Electric Power University, 2007. |
[20] | TALBI E G. Metaheuristics for bi-level optimization[M]. Berlin: Springer, 2013. |
[21] | WANG X F, LI F X, ZHANG Q W, et al. Profit-oriented BESS siting and sizing in deregulated distribution systems[J]. IEEE Transactions on Smart Grid, 2023, 14(2): 1528-1540. |
[22] | 吴杰, 丁明, 张晶晶. 基于云模型和k-means聚类的风电场储能容量优化配置方法[J]. 电力系统自动化, 2018, 42(24): 67-73. |
[22] | WU Jie, DING Ming, ZHANG Jingjing. Capacity configuration method of energy storage system for wind farm based on cloud model and k-means clustering[J]. Automation of Electric Power Systems, 2018, 42(24): 67-73. |
[23] | ZENG B, ZHAO L. Solving two-stage robust optimization problems using a column-and-constraint generation method[J]. Operations Research Letters, 2013, 41(5): 457-461. |
[24] | ZIMMERMAN R D, MURILLO-SáNCHEZ C E, THOMAS R J. MATPOWER: Steady-state operations, planning, and analysis tools for power systems research and education[J]. IEEE Transactions on Power Systems, 2011, 26(1): 12-19. |
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