电力系统自动化2025，Vol.49Issue(7)：179-188,10.DOI:10.7500/AEPS20240626009
基于主从博弈的新型电力系统惯量需求优化调度策略
Optimal Scheduling Strategy for Inertial Demand of New Power System Based on Stackelberg Game
摘要
Abstract
Compared with traditional power systems dominated by synchronous generators,new power systems exhibit distinct characteristics such as low inertia and low damping,which introduce new challenges to ensuring stable operation for the system.To ensure that the system maintains a high level of inertia during each time,this paper proposes an optimal scheduling strategy for the inertia demand of new power systems based on the Stackelberg game.The strategy consists of leaders and followers,where the leader framework solves the problem of minimizing scheduling economic costs,and the follower framework solves the problem of optimizing system inertia configuration.This model considers the minimum inertia demand of the system and configures additional inertia reserves to cope with the scenarios with insufficient inertia,while ensuring the economic benefits of additional supplementary inertia and the optimal overall scheduling economy.When evaluating the inertia demand of the system,the inertia provided by the inverter interface resources is easily affected by its variable operation conditions,which is not conducive to the minimum inertia evaluation and inertia configuration of the system.Therefore,the concept of virtual inertia reliability is proposed,and virtual inertia reliability coefficients are given according to different operation conditions to improve the accuracy of inertia evaluation in renewable energy power plants.Case studies validate the effectiveness of the proposed optimal scheduling strategy,demonstrating its ability to improve frequency stability during system operation while preserving economic efficiency.关键词
新型电力系统/惯量/频率稳定/优化调度/主从博弈/虚拟惯量可靠性Key words
new power system/inertia/frequency stability/optimal scheduling/Stackelberg game/virtual inertia reliability引用本文复制引用
赵正晖,王夏楠,齐步洋,庞湃,汪洋,张千..基于主从博弈的新型电力系统惯量需求优化调度策略[J].电力系统自动化,2025,49(7):179-188,10.基金项目
江苏省高等学校基础科学(自然科学)研究项目(23KJB210006) （自然科学）
镇江市重点研发计划(产业前瞻与共性关键技术)资助项目(GY2023001). This work is supported by Jiangsu Province Higher Education Basic Science(Natural Science)Research Project(No.23KJB210006)and Zhenjiang Key R&D Plan Project(No.GY2023001). （产业前瞻与共性关键技术）
