东北电力技术2026,Vol.47Issue(8):1-8,27,9.
提升新能源消纳的多源协同优化调度与市场激励模型研究
Research on Multi-Source Collaborative Optimal Scheduling and Market Incentives Model to Enhance Consumption of New Energy
赵清松 1袁鹏 1刘刚 2张潇桐 1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 transformation of the global energy structure,the position of new energy in the energy system is becoming increasingly prominent.However,the intermittency and instability of new energy sources pose challenges to the stable operation of the energy system.To address this issue,it proposes a multi-source collaborative optimal scheduling model,aiming to enhance energy utilization efficiency and increase the consumption level of new energy through market incentives.Firstly,this model takes the economic operation,safety and new energy consumption capacity of multi-source systems as the research objects.It adopts the model predictive control optimization algorithm,comprehensively considers the complementarity of various energy sources and the stability of the system,and establishes an optimal scheduling model for multi-source energy systems.Secondly,by introducing output adjustment costs and collaborative scheduling strategies,it optimizes the allocation and scheduling of energy to achieve the optimal operation of the entire system.Finally,it verifies the proposed multi-source collaborative optimal scheduling model.The results show that this model can improve the accuracy of scheduling control,enhance the consumption level of new energy,and ensure the stable operation of the energy system at the same time.关键词
多源协同/优化调度/市场激励/新能源/消纳能力Key words
multi-source collaboration/optimal scheduling/market incentives/new energy/consumption capacity分类
信息技术与安全科学引用本文复制引用
赵清松,袁鹏,刘刚,张潇桐,王钟辉..提升新能源消纳的多源协同优化调度与市场激励模型研究[J].东北电力技术,2026,47(8):1-8,27,9.