摘要
提出一种新能源和储能协同规划优化方法,分析了新型电力系统特征,探讨了系统多样化、智能化和弹性方面的关键需求。为确保系统稳定性,优化了储能与新能源的协同调度,并通过多目标优化模型,综合考虑经济性、环境效益与系统可靠性,提升了系统的整体性能。在优化算法方面,应用智能优化技术,如遗传算法和粒子群优化,解决了大规模、多约束的规划问题。结合实时调度和预测技术,进一步提高了电力系统对可再生能源波动性的响应能力。
This article proposes a collaborative planning and optimization method for new energy and energy storage.By analyzing the characteristics of the new power system,the key requirements for system diversification,intelligence,and resilience were explored.To ensure system stability,the coordinated scheduling of energy storage and new energy has been optimized,and the overall performance of the system has been improved by comprehensively considering economic,environmental benefits,and system reliability through a multi-objective optimization model.In terms of optimization algorithms,intelligent optimization techniques such as genetic algorithm and particle swarm optimization have been applied to solve large-scale,multi constraint planning problems.By combining real-time scheduling and prediction technology,the response capability of the power system to renewable energy fluctuations has been further improved.
作者
崔泽坤
赵海洲
梅晓辉
张康
CUI Zekun;ZHAO Haizhou;MEI Xiaohui;ZHANG Kang(State Grid Hengshui Power Supply Company,Hengshui 053000,China)
出处
《电工技术》
2025年第S1期595-597,共3页
Electric Engineering
关键词
新型电力系统
新能源
储能系统规划
new power system
new energy
energy storage system planning
