新能源参与下的日前市场出清模型研究
Research on Day-Ahead Market Clearing Model with Renewable Energy Participation
秦振华1
作者信息
- 1. 国网湖北省电力有限公司广水市供电公司,湖北广水 432720
- 折叠
摘要
新能源发电装机容量已成为我国电力系统的重要组成部分,并且持续增长.通过有效的市场机制可以促进电力系统对新能源的消纳容量,提高新能源发电的利用率,降低"弃风"和"弃光"概率.研究了分时竞价模式下新能源发电参与的日前市场出清模型,并通过基于Q学习的求解算法研究了日前市场出清模型的最优解.结果表明:所推导的日前市场出清模型,可提高发电厂的收益,同时降低发电成本与排放成本.
Abstract
The installed capacity of renewable energy generation has become a significant component of China's power system and continues to grow.Effective market mechanisms can enhance the capacity for absorbing renew-able energy,further increasing its utilization and reducing curtailment rates for wind and solar power.This study investigates the day-ahead market clearing model under a time-based bidding scheme with renewable energy par-ticipation.By applying Q-learning algorithms to solve the day-ahead market clearing model,the study derives op-timal solutions that demonstrate potential improvements in power plant revenues and reductions in generation and emission costs.
关键词
日前市场出清模型/新能源发电/竞价模型Key words
day-ahead market clearing model/renewable energy generation/bidding model引用本文复制引用
出版年
2024
NETL
NSTL
万方数据