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Enhancing distribution system stability and efficiency through multi‐power supply startup optimization for new energy integration

Qinglin MengGreen Power Research Institute Tianjin Renai College Tianjin ChinaXinyu TongState Grid Tianjin Electric Power Company State Grid Corporation of China Tianjin ChinaSheharyar HussainThe Institute of Marine Electronic and Intelligent System Zhejiang University Zhoushan ChinaFengzhang LuoSchool of Electrical and Information Engineering Tianjin University Tianjin ChinaFei ZhouInstitute of Computing and Application China Electric Power Research Institute Beijing ChinaYing HeGreen Power Research Institute Tianjin Renai College Tianjin ChinaLei LiuState Grid Tianjin Electric Power Company State Grid Corporation of China Tianjin ChinaBing SunSchool of Electrical and Information Engineering Tianjin University Tianjin ChinaBotong LiSchool of Electrical and Information Engineering Tianjin University Tianjin China
2024en
ABI

Аннотация

Abstract This paper addresses the challenge of maximizing power capture from new energy sources, including coal, wind, solar, and hydroelectric power, which often lack sufficient inertia support. This deficiency can lead to frequency instability and cascading failures within the power system. A cooperative optimization model for the start‐up of multiple power supplies, designed to enhance the integration of new energy sources while maintaining system stability is proposed. The model incorporates primary frequency modulation and the intrinsic inertia support capabilities of self‐synchronous voltage source field stations, considering dynamic frequency constraints. Additionally, it employs new energy units with primary frequency modulation to provide inertia support during curtailment, particularly when conventional units cannot meet frequency standards due to existing constraints. Extensive simulations and comparative analyses demonstrate that the proposed model improves new energy utilization by up to 37.5% and reduces operational costs by approximately 16%, enhancing overall operational efficiency in high energy consumption scenarios.

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