彭竹弈,牛文娟,葛毅,徐遥,谢珍建,周霞,吴琼
PENG Zhuyi,NIU Wenjuan,GE Yi,XU Yao,XIE Zhenjian,ZHOU Xia,WU Qiong

• 1:国网江苏省电力有限公司经济技术研究院
• 2:南京邮电大学

摘要(Abstract)：

针对新型电力系统中新能源渗透率提高导致的系统惯量支撑能力下降及现有市场交易机制缺乏惯量充裕性约束等问题，提出考虑系统最小惯量需求约束的电力容量市场交易策略。首先，融合K-Means聚类与新增负荷时序修正法，预测电网春、夏、秋、冬四季的差异化容量需求；在此基础上，构建了以容量供应商净收益最大化为目标的电力容量市场模型，并引入最小惯量需求、容量充裕性、机组容量等多重约束；最后，采用鲸鱼优化算法求解模型，并在MATLAB平台搭建仿真模型进行验证。结果表明，所提策略不仅能优化系统容量资源配置并提升经济性，同时可保障系统容量与惯量充裕性，为新型电力系统惯量安全规划提供技术支撑。
In modern power systems, the increasing penetration of renewable energy reduces system inertia support capability, and existing market trading mechanisms lack explicit constraints on inertia adequacy. To address these challenges, a trading strategy for power capacity market considering minimum inertia constraint is proposed. First, K-Means clustering combined with the time-series correction method for load growth is used to forecast differentiated seasonal capacity demands for spring, summer, autumn, and winter. Based on these forecasts, a power capacity market model is established with the objective of maximizing the net revenue of capacity providers, incorporating multiple constraints including minimum inertia requirement, capacity adequacy, and unit capacities. The model is solved using the whale optimization algorithm(WOA), and a simulation platform is built in MATLAB for verification. Results show that the proposed strategy can optimize system's capacity resource allocation and enhance economic efficiency, while ensuring both capacity and inertia adequacy, providing technical support for inertia security planning in modern power systems.

关键词(KeyWords)： 电力容量市场;最小惯量需求;容量需求预测;鲸鱼优化算法
power capacity market;minimum inertia requirement;capacity demand forecasting;WOA

Abstract:

Keywords:

基金项目(Foundation): 国网江苏省电力有限公司科技项目（J2024002）

作者(Author): 彭竹弈,牛文娟,葛毅,徐遥,谢珍建,周霞,吴琼
PENG Zhuyi,NIU Wenjuan,GE Yi,XU Yao,XIE Zhenjian,ZHOU Xia,WU Qiong

DOI: 10.19585/j.zjdl.202605004

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