东北电力技术2024，Vol.45Issue(6)：5-11,7.
电蓄热参与电力现货市场的优化出清模型与算法研究
Optimization Clearing Model and Algorithm Research of Electric Heat Storage Participating in Electricity Spot Market
赵清松 1刘刚 2袁鹏 1王淼 2王钟辉2
作者信息
- 1. 国网辽宁省电力有限公司电力科学研究院,辽宁 沈阳 110006
- 2. 国网辽宁省电力有限公司,辽宁 沈阳 110006
- 折叠
摘要
Abstract
With the construction of new electric power systems and electricity markets,the adjustable resources and market entities in the power system are continuously enriched.It puts forward higher requirements for system flexibility and market mechanisms.Energy storage is an important means to enhance system adjustment capability.Low-cost,low-constraint electric thermal storage technology is the best way to solve the issues of surplus renewable energy absorption and winter heating pollution.Firstly,it analyzes the operating characteristics of electric heat storage,proposes methods and mechanisms for participating in the electricity spot market.Secondly,it establishes an optimization clearing model including renewable energy absorption,electric heat storage load,section constraints,and nodal electricity prices.Finally,it optimizes the operation mode of electric heat storage on this basis to enhance the absorption capacity of renewable energy,while reducing overall system operating costs and energy efficiency.Case studies verify the effectiveness of the proposed model and algorithm.关键词
电蓄热/电力现货市场/消纳能力/出清模型/优化算法Key words
electric heat storage/electricity spot market/absorptive capacity/clearing model/optimization algorithm分类
信息技术与安全科学引用本文复制引用
赵清松,刘刚,袁鹏,王淼,王钟辉..电蓄热参与电力现货市场的优化出清模型与算法研究[J].东北电力技术,2024,45(6):5-11,7.
