POWER SPOT MARKET OPERATION OPTIMIZATION CONSIDERING TIME-SHARING BIDDING GAME OF NEW ENERGY-THERMAL POWER BILATERAL PEAK-LOAD TRADING

Zhao Shuqiang; Song Jinli; Wang Aoer; Li Zhiwei

doi:10.19912/j.0254-0096.tynxb.2023-0905

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Acta Energiae Solaris Sinica ›› 2024, Vol. 45 ›› Issue (10) : 153-161. DOI: 10.19912/j.0254-0096.tynxb.2023-0905

POWER SPOT MARKET OPERATION OPTIMIZATION CONSIDERING TIME-SHARING BIDDING GAME OF NEW ENERGY-THERMAL POWER BILATERAL PEAK-LOAD TRADING

Zhao Shuqiang, Song Jinli, Wang Aoer, Li Zhiwei

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Abstract

In view of the difficulty of taking into account the economic benefits of new energy and peaking units in power spot market, a time-sharing game bidding model of bilateral peaking transaction between new energy and thermal power is proposed. Firstly, the existing power spot market clearing mechanism is improved, and the pre-clearing model of new energy and thermal power units participating in market bidding is established. Secondly, considering the market consumption of new energy in the context of the abandonment of wind and light in pre-clearing, a bilateral time-sharing peak-trimming trading mechanism for new energy and thermal power operators is proposed, and a time-sharing bidding model for bilateral peak-trimming trading based on the master-slave game is constructed, with the upper level aiming at maximizing the new income of new energy operators. The pricing strategy of time-sharing peak-load compensation is determined. The lower level thermal power operators respond to the incentive of compensation price, weigh the new income and the cost of peak-load, and realize the clearing of the lower peak-load output. Finally, three scheduling scenarios are simulated and calculated, and the comparison results show that the proposed model can effectively reflect the peak regulation trading intentions of new energy operators and thermal power operators at different periods, achieve the balance between supply and demand of peak regulation resources in the power spot market, promote the market-oriented consumption of new energy, and compensate the peak regulation costs of thermal power units to ensure the healthy development of peak regulation transactions.

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renewable energy / power markets / game theory / peak shaving / bidding model

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Zhao Shuqiang, Song Jinli, Wang Aoer, Li Zhiwei. POWER SPOT MARKET OPERATION OPTIMIZATION CONSIDERING TIME-SHARING BIDDING GAME OF NEW ENERGY-THERMAL POWER BILATERAL PEAK-LOAD TRADING[J]. Acta Energiae Solaris Sinica. 2024, 45(10): 153-161 https://doi.org/10.19912/j.0254-0096.tynxb.2023-0905

References

[1] 舒印彪, 张智刚, 郭剑波, 等. 新能源消纳关键因素分析及解决措施研究[J]. 中国电机工程学报, 2017, 37(1): 1-9.
SHU Y B, ZHANG Z G, GUO J B, et al.Study on key factors and solution of renewable energy accommodation[J]. Proceedings of the CSEE, 2017, 37(1): 1-9.
[2] 王佳惠, 牛玉广, 陈玥, 等. 计及火电深度调峰的高比例可再生能源电力系统日前优化调度研究[J]. 太阳能学报, 2023, 44(1): 493-499.
WANG J H, NIU Y G, CHEN Y, et al.Research on day-ahead optimal dispatching of high-proportion renewable energy power system considering deep peak load regulation of thermal power[J]. Acta energiae solaris sinica, 2023, 44(1): 493-499.
[3] JIANG K, WANG P, WANG J X, et al.Reserve cost allocation mechanism in renewable portfolio standard-constrained spot market[J]. IEEE transactions on sustainable energy, 2022, 13(1): 56-66.
[4] 韩玉辉, 赵雪楠, 尹洪全, 等. 考虑调峰附加成本的新能源送出型电网电价动态优化模型[J]. 太阳能学报, 2023, 44(3): 351-359.
HAN Y H, ZHAO X N, YIN H Q, et al.Dynamic optimization model of electricity price for new energy transmission grid considering additional cost of peak load regulation[J]. Acta energiae solaris sinica, 2023, 44(3): 351-359.
[5] 刘永奇, 张弘鹏, 李群, 等. 东北电网电力调峰辅助服务市场设计与实践[J]. 电力系统自动化, 2017, 41(10): 148-154.
LIU Y Q, ZHANG H P, LI Q, et al.Design and practice of peak regulation ancillary service market for Northeast China power grid[J]. Automation of electric power systems, 2017, 41(10): 148-154.
[6] 邹鹏, 丁强, 任远, 等. 山西省融合调峰辅助服务的电力现货市场建设路径演化探析[J]. 电网技术, 2022, 46(4): 1279-1288.
ZOU P, DING Q, REN Y, et al.Analysis on construction path evolution of electricity spot market integrating load and renewables following ancillary services in Shanxi Province[J]. Power system technology, 2022, 46(4): 1279-1288.
[7] 樊宇琦, 丁涛, 孙瑜歌, 等. 国内外促进可再生能源消纳的电力现货市场发展综述与思考[J]. 中国电机工程学报, 2021, 41(5): 1729-1752.
FAN Y Q, DING T, SUN Y G, et al.Review and cogitation for worldwide spot market development to promote renewable energy accommodation[J]. Proceedings of the CSEE, 2021, 41(5): 1729-1752.
[8] 陈启鑫, 刘学, 房曦晨, 等. 考虑可再生能源保障性消纳的电力市场出清机制[J]. 电力系统自动化, 2021, 45(6): 26-33.
CHEN Q X, LIU X, FANG X C, et al.Electricity market clearing mechanism considering guaranteed accommodation of renewable energy[J]. Automation of electric power systems, 2021, 45(6): 26-33.
[9] NANDAKUMAR N, ANNASWAMY A M.Impact of increased renewables on natural gas markets in eastern United States[J]. Journal of modern power systems and clean energy, 2017, 5(3): 424-438.
[10] 罗桓桓, 王昊, 葛维春, 等. 考虑报价监管的动态调峰辅助服务市场竞价机制设计[J]. 电工技术学报, 2021, 36(9): 1935-1947, 1955.
LUO H H, WANG H, GE W C, et al.Design of dynamic peak regulation ancillary service market bidding mechanism considering quotation supervision[J]. Transactions of China Electrotechnical Society, 2021, 36(9): 1935-1947, 1955.
[11] 崔杨, 修志坚, 刘闯, 等. 计及需求响应与火-储深度调峰定价策略的电力系统双层优化调度[J]. 中国电机工程学报, 2021, 41(13): 4403-4415.
CUI Y, XIU Z J, LIU C, et al.Dual level optimal dispatch of power system considering demand response and pricing strategy on deep peak regulation[J]. Proceedings of the CSEE, 2021, 41(13): 4403-4415.
[12] GUERRERO-MESTRE V, SÁNCHEZ DE LA NIETA A A, CONTRERAS J, et al. Optimal bidding of a group of wind farms in day-ahead markets through an external agent[J]. IEEE transactions on power systems, 2016, 31(4): 2688-2700.
[13] BANAEI M, OLOOMI-BUYGI M, ZABETIAN-HOSSEINI S M. Strategic gaming of wind power producers joined with thermal units in electricity markets[J]. Renewable energy, 2018, 115: 1067-1074.
[14] 武昭原, 周明, 姚尚润, 等. 基于合作博弈论的风储联合参与现货市场优化运行策略[J]. 电网技术, 2019, 43(8): 2815-2824.
WU Z Y, ZHOU M, YAO S R, et al.Optimization operation strategy of wind-storage coalition in spot market based on cooperative game theory[J]. Power system technology, 2019, 43(8): 2815-2824.
[15] 葛晓琳, 凡婉秋, 符杨, 等. 基于改进柔性策略评价的风火储多主体博弈电能-调频市场联合竞价模型[J]. 电网技术, 2023, 47(5): 1920-1933.
GE X L, FAN W Q, FU Y, et al.Joint bidding model of electricity and frequency regulation market with wind fire storage multi-agent games based on improved soft actor-critic[J]. Power system technology, 2023, 47(5): 1920-1933.
[16] 王秀丽, 闫璐, 刘豹, 等. 基于合作-非合作博弈的光储荷网协同运行策略[J]. 太阳能学报, 2023, 44(5): 128-138.
WANG X L, YAN L, LIU B, et al.Cooperative operational strategies of photovoltaic, energy storage, load and power grid based on cooperative and non-cooperative game[J]. Acta energiae solaris sinica, 2023, 44(5): 128-138.
[17] 张敏, 王建学, 王秀丽, 等. 面向新能源消纳的调峰辅助服务市场双边交易机制与模型[J]. 电力自动化设备, 2021, 41(1): 84-91.
ZHANG M, WANG J X, WANG X L, et al.Bilateral trading mechanism and model of peak regulation auxiliary service market for renewable energy accommodation[J]. Electric power automation equipment, 2021, 41(1): 84-91.
[18] 李军徽, 安晨宇, 李翠萍, 等. 计及调峰市场交易的储能-新能源-火电多目标优化调度[J]. 电工技术学报, 2023, 38(23): 6391-6406.
LI J H, AN C Y, LI C P, et al.Multi-objective optimization scheduling method considering peak regulating market transactions for energy storage-new energy-thermal power[J]. Transactions of China Electrotechnical Society, 2023, 38(23): 6391-6406.