综合智慧能源2025，Vol.47Issue(8)：68-76,9.DOI:10.3969/j.issn.2097-0706.2025.08.008
基于改进秃鹰搜索算法的风光火储综合能源系统优化调度策略研究
Research on optimal scheduling strategy of wind-photovoltaic-thermal-storage integrated energy system based on IBES
摘要
Abstract
The study aims to accurately and efficiently achieve the most cost-effective integration of renewable energy and the optimal output of thermal power units in the wind-photovoltaic-thermal-storage integrated energy system,while exploring the impact of renewable energy integration policies on coal-fired power plants and the overall system.Based on fuzzy chance-constrained programming and the improved bald eagle search(IBES)algorithm,a hierarchical optimal scheduling model for the wind-photovoltaic-thermal-storage system was constructed,incorporating plant-level optimal allocation of thermal power units.Taking a representative energy base as an example,the scheduling scenarios under constraints of different renewable energy curtailment rates were simulated,and performance differences under a unified unit operation strategy were compared.The results showed that when the wind and photovoltaic curtailment rate was extended to 10%,the net load square deviation of thermal power units decreased by 24.04%compared to the 5%constraint,the daily total revenue of thermal power increased by 2.48%,and the total system revenue increment reached 343 400 yuan—1.82 times that under the 5%renewable curtailment rate—significantly outperforming the full wind and photovoltaic integration model.Additionally,the number of deep peak-shaving operations of thermal power units was reduced,significantly alleviating operational stress and improving both operational safety and economic efficiency.The proposed model can effectively achieve multi-objective optimal allocation of output among power generation units.Under the policy guidance of maintaining renewable energy utilization rate of no less than 90%,appropriately relaxing the wind and photovoltaic curtailment rate can significantly improve the economic benefits of energy base and system operational flexibility,providing technical support and empirical evidence for the implementation of related policies.关键词
风光火储综合能源系统/新能源消纳/模糊机会约束/改进秃鹰搜索算法/分层优化调度/风光弃能率Key words
wind-photovoltaic-thermal-storage integrated energy system/renewable energy consumption/fuzzy chance-constrained/improved bald eagle search algorithm/hierarchical optimal scheduling/wind and photovoltaic curtailment rate分类
能源科技引用本文复制引用
谭甲群,吕如轩,鞠洪晋,洪春雪,肖海平,雷兢,韩振兴..基于改进秃鹰搜索算法的风光火储综合能源系统优化调度策略研究[J].综合智慧能源,2025,47(8):68-76,9.基金项目
国家自然科学基金项目(52276006)National Natural Science Foundation of China(52276006) （52276006）
