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| Inter- and Intra-Provincial Electricity Market Clearing and Pricing Model under the Evolution of National Unified Electricity Market |
| Chen Yi1,2, Wang Han1,2, Yan Zheng1,2, Feng Kai3, Liu Zijie3 |
1. Key Laboratory of Power Transmission and Conversion of Ministry of Education Shanghai Jiao Tong University Shanghai 200240 China;
2. Shanghai Non-carbon Energy Conversion and Utilization Institute Shanghai Jiao Tong University Shanghai 200240 China;
3. China Electric Power Research Institute Nanjing 210037 China |
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Abstract At present, China's inter- and intra-provincial market system is still in its infancy, and market mechanisms, operation methods and clearing models are yet to be explored. The commonly used modeling approaches in the existing literature include path-based and sensitivity-based optimal clearing approaches. The path-based approach increases the dimensionality of decision variables in the high-low matching discounting process, resulting in a large model size. And, the sensitivity-based approach adopts an integrated clearing method but does not provide an applicable pricing mechanism. To address these issues, this paper constructs a sensitivity-based inter- and intra-provincial electricity market clearing model that considers different ways of collecting transmission fees. Furthermore, the nonlinearity introduced by the transmission fees is linearized and the locational marginal price (LMP) method is used to solve the problem of unclear pricing of the sensitivity-based model.
China's transmission lines include inter-regional transmission lines, intra-regional inter-provincial transmission lines and intra-provincial transmission lines. Their transmission pricing mechanisms are introduced and their impact on the supply and demand balance in the electricity market are analyzed. As the evolution of the national unified electricity market, the inter- and intra-provincial electricity market will go through three stages of bi-level stage, loosely-coupled stage and tightly-coupled stage. The degree of coupling between inter-provincial and intra-provincial markets varies at different stages, with the lowest degree of coupling at the bi-level stage and the highest degree of coupling at the tightly-coupled stage. The clearing model and the pricing model were constructed for the three stages. And the proposed pricing mechanism derives the price for each node adopting the LMP method, which has good characteristics such as incentive compatibility and non-discrimination.
To verify the effectiveness of the proposed clearing model and pricing model, simulations were conducted in the IEEE 39-bus and 118-bus systems. The clearing results show that the social welfare in the bi-level stage, loosely-coupled stage, and tightly-coupled stage is 27 028 061 ¥, 30 543 641 ¥, and 31 874 432 ¥, respectively. Also, the transmission power of cross-regional tie-lines is the highest in the tightly-coupled stage indicating high utilization of the cross-regional tie-lines. Besides, the pricing results show that the imbalance funds in the bi-level stage, loosely-coupled stage, and tightly-coupled stage are 2 801 963 ¥, 2 051 259 ¥, and 0 ¥, respectively. And, the price at each node is different due to the transmission fees of intra-regional inter-provincial AC tie-lines. Further, the impact of transmission fees on clearing results and pricing results was analyzed. As the transmission price of inter-regional transmission lines increases, both the transmission volume and social welfare decrease, and the average price in the receiving provinces increases while the average price in the sending provinces decreases. As the transmission price of intra-regional inter-provincial transmission lines increases, the difference in electricity prices between the nodes becomes more pronounced. Assuming that the intra-provincial transmission price in both the sending and receiving provinces decreases by 10 ¥/(MW·h), the bids for generators and loads in the sending provinces increase by 456 MW·h and 481 MW·h, respectively, while the bids for generators and loads in the receiving provinces increase by 3 804 MW·h and 3 781 MW·h, respectively.
The following conclusions can be drawn from the simulation analysis: (1) Inter-provincial transmission can increase social welfare and promote optimal resource allocation. And the tightly-coupled stage clearing is best able to maximise social welfare. (2) The proposed pricing mechanism remains applicable when considering multiple transmission fees and has the advantages of LMP. And the pricing mechanism provides a reasonable pricing methodology for sensitivity-based clearing models. (3) Transmission fees charged according to the actual power flow of transmission lines result in a differential price at each node. The sensitivity of the node to the line in the same direction as the power flow will result in a lower price for the node, and vice versa.
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Received: 17 January 2023
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[1] Zhang Yan, Zhang Jinyun, Yang Zhifeng, 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] 王雪纯, 陈红坤, 陈磊. 提升区域综合能源系统运行灵活性的多主体互动决策模型[J]. 电工技术学报, 2021, 36(11): 2207-2219.
Wang Xuechun, Chen Hongkun, Chen Lei.Multi-player interactive decision-making model for operational flexibility improvement of regional integrated energy system[J]. Transactions of China Electrotechnical Society, 2021, 36(11): 2207-2219.
[3] 中共中央国务院. 关于进一步深化电力体制改革的若干意见(中发〔2015〕9号)[Z]. 2015.
[4] 国家发展改革委员会,国家能源局. 关于深化电力现货市场建设试点工作的意见的通知(发改办能源规〔2019〕828号)[Z]. 2019.
[5] 边晓燕, 张璐瑶, 周波, 等. 基于知识图谱的国内外电力市场研究综述[J]. 电工技术学报, 2022, 37(11): 2777-2788.
Bian Xiaoyan, Zhang Luyao, Zhou Bo, et al.Review on domestic and international electricity market research based on knowledge graph[J]. Transactions of China Electrotechnical Society, 2022, 37(11): 2777-2788.
[6] 国家发展改革委, 国家能源局. 关于加快建设全国统一电力市场体系的指导意见(发改体改〔2022〕118号)[Z]. 2022.
[7] 纪鹏, 曾丹, 孙田, 等. 全国统一电力市场体系深化建设研究: 以省间、省内市场耦合演进路径设计为切入点[J]. 价格理论与实践, 2022(5): 105-109.
Ji Peng, Zeng Dan, Sun Tian, et al.Study on deepening the construction of national unified electricity market system—taking the design of the coupling evolution path of inter-provincial and intra-provincial markets as the breakthrough point[J]. Price: Theory & Practice, 2022(5): 105-109.
[8] 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.
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.
[9] 刘昊, 郭烨, 孙宏斌. 跨区跨省电力交易综述及展望[J]. 电力系统自动化, 2022, 46(15): 187-199.
Liu Hao, Guo Ye, Sun Hongbin.Review and prospect of inter-regional and inter-provincial transaction scheduling in China[J]. Automation of Electric Power Systems, 2022, 46(15): 187-199.
[10] 孙大雁, 关立, 黄国栋, 等. 跨区域省间富余可再生能源电力现货交易的实践和思考[J]. 电力系统自动化, 2022, 46(5): 1-11.
Sun Dayan, Guan Li, Huang Guodong, et al.Practice and reflection on trans-regional and cross-provincial electricity spot trading for surplus renewable energy[J]. Automation of Electric Power Systems, 2022, 46(5): 1-11.
[11] 郭怿, 明波, 黄强, 等. 考虑输电功率平稳性的水-风-光-储多能互补日前鲁棒优化调度[J].电工技术学报, 2023, 38(9): 2350-2363.
Guo Yi, Ming Bo, Huang Qiang, et al.Day-ahead robust optimal scheduling of hydro-wind-pv-storage complementary systems considering the steadiness of power delivery[J]. Transactions of China Electro-technical Society, 2023, 38(9): 2350-2363.
[12] 许丹, 周京阳, 黄国栋. 计及直流限额动态调整的送受端一体化日前调度计划模型[J]. 电工技术学报, 2021, 36(13): 2844-2851.
Xu Dan, Zhou Jingyang, Huang Guodong.An integrated day ahead scheduling model considering the dynamic adjustment of DC limits[J]. Transactions of China Electrotechnical Society, 2021, 36(13): 2844-2851.
[13] 樊宇琦, 丁涛, 汤洪海, 等. 考虑路径折算的跨省跨区可再生能源增量现货交易模型[J]. 电力系统自动化, 2021, 45(18): 103-112.
Fan Yuqi, Ding Tao, Tang Honghai, et al.Cross-provincial and cross-regional incremental spot trading model for renewable energy considering path conversion[J]. Automation of Electric Power Systems, 2021, 45(18): 103-112.
[14] 程海花, 郑亚先, 耿建, 等. 基于拓展网络流方法的跨区跨省交易路径优化[J]. 电力系统自动化, 2016, 40(9): 129-134.
Cheng Haihua, Zheng Yaxian, Geng Jian, et al.Path optimization model of trans-regional and trans-provincial electricity trade based on expand network flow[J]. Automation of Electric Power Systems, 2016, 40(9): 129-134.
[15] 胡晨旭, 关立, 罗治强, 等. 跨区域省间富余可再生能源现货交易优化出清模型[J]. 电力系统自动化, 2021, 45(13): 110-116.
Hu Chenxu, Guan Li, Luo Zhiqiang, et al.Optimal clearing model for trans-regional and cross-provincial spot trading of surplus renewable energy[J]. Automation of Electric Power Systems, 2021, 45(13): 110-116.
[16] 郑亚先, 杨争林, 冯树海, 等. 碳达峰目标场景下全国统一电力市场关键问题分析[J]. 电网技术, 2022, 46(1): 1-20.
Zheng Yaxian, Yang Zhenglin, Feng Shuhai, et al.Key issue analysis in national unified power market under target scenario of carbon emission peak[J]. Power System Technology, 2022, 46(1): 1-20.
[17] 彭超逸, 顾慧杰, 朱文, 等. 交直流混联区域电网现货市场出清模型研究[J]. 电网技术, 2020, 44(1): 323-331.
Peng Chaoyi, Gu Huijie, Zhu Wen, et al.Study on spot market clearing model of regional power grid considering AC/DC hybrid connection[J]. Power System Technology, 2020, 44(1): 323-331.
[18] 刘政, 雷少锋, 王清亮, 等. 考虑备用共享的区域电力现货市场出清模型[J]. 电力建设, 2021, 42(11): 63-71.
Liu Zheng, Lei Shaofeng, Wang Qingliang, et al.Clearing model of regional electricity spot market considering reserve sharing[J]. Electric Power Construction, 2021, 42(11): 63-71.
[19] Wang Mu, Tan Zhenfei, Ma Ziming, et al.Inter-provincial electricity spot market model for China[C]//2020 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia), Weihai, China, 2020: 110-115.
[20] 中共中央国务院. 关于推进价格机制改革的若干意见 (中发〔2015〕28号)[Z]. 2015
[21] 国家发展改革委. 关于印发《跨省跨区专项工程输电价格定价办法》的通知(发改价格规〔2021〕1455号)[Z]. 2021.
[22] 国家发展改革委. 关于印发《区域电网输电价格定价办法》的通知(发改价格规〔2020〕100号)[Z]. 2020.
[23] 国家发展改革委. 关于印发《省级电网输配电价定价办法》的通知(发改价格规〔2020〕101号)[Z]. 2020.
[24] 国家电网有限公司. 省间电力现货交易规则(试行)[Z]. 2021.
[25] 丁一, 谢开, 庞博, 等. 中国特色、全国统一的电力市场关键问题研究(1):国外市场启示、比对与建议[J]. 电网技术, 2020, 44(7): 2401-2410.
Ding Yi, Xie Kai, Pang Bo, et al.Key issues of national unified electricity market with Chinese characteristics(1): enlightenment, comparison and suggestions from foreign countries[J]. Power System Technology, 2020, 44(7): 2401-2410.
[26] 徐玉琴, 方楠. 基于分段线性化与改进二阶锥松弛的电-气互联系统多目标优化调度[J]. 电工技术学报, 2022, 37(11): 2800-2812.
Xu Yuqin, Fang Nan.Multi objective optimal scheduling of integrated electricity-gas system based on piecewise linearization and improved second order cone relaxation[J]. Transactions of China Electro-technical Society, 2022, 37(11): 2800-2812.
[27] 房欣欣, 杨知方, 余娟, 等. 节点电价的理论剖析与拓展[J]. 中国电机工程学报, 2020, 40(2): 379-390.
Fang Xinxin, Yang Zhifang, Yu Juan, et al.Theoretical analysis and extension of locational marginal price[J]. Proceedings of the CSEE, 2020, 40(2): 379-390.
[28] 雷星雨, 杨知方. 显式计及新能源不确定性多统计矩特征的电力市场定价方法[J]. 中国电机工程学报, 2023, 43(15): 5772-5785.
Lei Xingyu, Yang Zhifang.An electricity market pricing method considering multiple statistical moments of renewable energy uncertainty[J]. Proceedings of the CSEE, 2023, 43(15): 5772-5785.
[29] Wang Yi, Yang Zhifang, Yu Juan, et al.Revisit the electricity price formulation: a formal definition, proofs, and examples[J]. Energy, 2020, 200: 117542. |
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2024, Vol. 39 
