基于多目标海鸥优化算法的风-光-热储能优化调度

Optimal Scheduling of Wind-Solar-Thermal Energy Storage Based on Multi-Objective Seagull Optimization Algorithm

针对新能源存储的问题,提出了高效节能的风-光-热储能优化调度模型。在此基础上综合考虑新能源的负荷需求响应和平衡约束,采用混沌理论改进多目标海鸥优化算法,以社会福利最大化为目标,建立面向低碳运行的稳定优化调度控制方法。根据企业的实际数据算例分析表明,优化调度模型能够有效提升系统的稳定性,降低总生产成本11.8%,减少碳排放15.98%,提供了环境友好的优化调度方案。

Aiming at the problem of efficient new energy storage,this paper proposes an efficient and energy-saving wind solar thermal energy storage optimal scheduling model.On this basis,considering the load demand response and balance constraints of new energy,the multi-objective seagull optimization algorithm is improved by using chaos theory.A stable optimal dispatching control method for low-carbon operation is established with the goal of maximizing social welfare.According to the analysis of the actual data of the enterprise,the optimization scheduling model can effectively improve the stability of the system,reduce the total production cost by 11.8%,reduce carbon emissions by 15.98%,and provide an environmentally friendly optimization scheduling scheme.