STUDY ON BI-LEVEL OPTIMAL BIDDING MODEL OF JOINT MARKET WITH PARTICIPATION OF NEW ENERGY

Zhao Shuqiang; Wang Aoer; Song Jinli; Li Zhiwei

doi:10.19912/j.0254-0096.tynxb.2023-1186

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Acta Energiae Solaris Sinica ›› 2024, Vol. 45 ›› Issue (11) : 108-115. DOI: 10.19912/j.0254-0096.tynxb.2023-1186

STUDY ON BI-LEVEL OPTIMAL BIDDING MODEL OF JOINT MARKET WITH PARTICIPATION OF NEW ENERGY

Zhao Shuqiang, Wang Aoer, Song Jinli, Li Zhiwei

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Abstract

In order to coordinate the economic cost of the joint market operator and the frequency modulation auxiliary service market benefit of the unit, a bi-level optimal bidding model with multi-source participation in the joint market is proposed. The market operator makes power generation plan through the upper level model, and determines the target value of the frequency modulation capacity of each unit in the frequency control auxiliary service （FCAS） market. Its optimization objective is to reduce the comprehensive operating cost in the joint market. Based on the operation results of the upper model, the unit adjusts its FCAS market quotation strategy through the lower model. Its optimization objective is to improve the frequency modulation market income of the optimized unit and ensure the frequency modulation performance of the system on the basis of economic optimization. The results show that when the main optimal body of the lower model is the summation of thermal power units, the bi-level optimization model makes the primary frequency modulation revenue of the thermal power units improve on the basis of the comprehensive cost of the combined market tends to be stable. When the main optimal body of the lower model is the summation of new energy units, the bi-level optimal bidding model improves the primary frequency modulation income of the new energy unit, and reduces the joint market cost. While improving the participation enthusiasm of the new energy units in frequency modulation through economic optimization, the system obtains better frequency modulation performance. The results show that the quantized mean of the integrated frequency modulation performance of the system is improved compared with that before optimization.

Key words

wind turbines / energy storage / frequency modulation / photovoltaic power station / joint clearing / bi-level optimization model

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Zhao Shuqiang, Wang Aoer, Song Jinli, Li Zhiwei. STUDY ON BI-LEVEL OPTIMAL BIDDING MODEL OF JOINT MARKET WITH PARTICIPATION OF NEW ENERGY[J]. Acta Energiae Solaris Sinica. 2024, 45(11): 108-115 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1186

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