JOINT OPTIMIZATION OF DAY-AHEAD ENERGY AND PEAK REGULATION CONSIDERING MULTI TYPE MARKET ENTITIES

Zhang Xinsong; Gao Xi; Zhu Jianfeng; Chen Pei; Guo Yunxiang; Lu Cheng

doi:10.19912/j.0254-0096.tynxb.2022-1788

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Acta Energiae Solaris Sinica ›› 2024, Vol. 45 ›› Issue (3) : 357-366. DOI: 10.19912/j.0254-0096.tynxb.2022-1788

JOINT OPTIMIZATION OF DAY-AHEAD ENERGY AND PEAK REGULATION CONSIDERING MULTI TYPE MARKET ENTITIES

Zhang Xinsong, Gao Xi, Zhu Jianfeng, Chen Pei, Guo Yunxiang, Lu Cheng

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Abstract

In new electric power systems, wind power penetration level is increasing continuously, thus requiring more peak-regulation capacities. It is necessary to encourage multi type market entities to actively provide peak-regulation services by joint clear of day-ahead energy and peak regulation markets for a purpose of supporting large-scale wind power consumption. This paper firstly analyzes peak-regulation capacities and bid rules of multi type market entities, such as coal-fired generators, wind farms and energy storage systems. On this basis, a joint optimization of day-ahead energy and peak regulation is developed, which simultaneously considers deep and start-stop peak-regulations of coal-fired generators, wind power curtailment peak-regulation of wind farms and charging peak-regulation of energy storage systems. The optimization attempts to minimize total purchase costs of energy and peak-regulation services subject to technology and bid constraints on market entities, together with constraints on power flow, which is a large-scale mixed integer linear programming （MILP）, and can be solved by the CPLEX solver. The simulation experiments based on improved IEEE 14-bus systems validate the proposed joint optimization of day-ahead energy and peak regulation and its solving algorithm. In addition, benefits of multi type market entities resulting from providing peak-regulation services are analyzed based on the simulation experiments.

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energy storage / wind power / electricity markets / peak-regulation service / joint optimization

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Zhang Xinsong, Gao Xi, Zhu Jianfeng, Chen Pei, Guo Yunxiang, Lu Cheng. JOINT OPTIMIZATION OF DAY-AHEAD ENERGY AND PEAK REGULATION CONSIDERING MULTI TYPE MARKET ENTITIES[J]. Acta Energiae Solaris Sinica. 2024, 45(3): 357-366 https://doi.org/10.19912/j.0254-0096.tynxb.2022-1788

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