虚拟电厂大规模可调资源聚合控制分层贯通管理方法OA
A hierarchical integrated management method for large-scale adjustable resource aggregation control of virtual power plants
提出一种虚拟电厂(VPP)大规模资源动态聚合调控管理方法.通过确定区域用电的峰时段、谷时段、平时段,获取电力系统负荷需求数据、柔性负荷特性数据及各时段电价,提出VPP在市场机制下的运行目标函数,并建立其参与市场的运行机制;识别灵活资源类型,构建VPP多灵活资源动态聚合模型,采用改进的狼群算法(WPA)优化满意决策的满足因子.研究表明,与传统方法相比,改进WPA算法能够明显降低成本,使VPP在峰值时段通过燃气轮机和储能设备满足用电需求,提升电力系统的灵活性和经济性.
A method for dynamic aggregation and regulation management of large-scale resources in a virtual power plant(VPP)is proposed.By determining the peak periods,off-peak periods,and normal periods of regional electricity consumption,the power system load demand data,flexible load characteristic data,and price data for each period are obtained.The operation objective function of VPP under the market mechanism is proposed,and its participation in the market operation mechanism is established.The types of flexible resources are identified,and a multi-flexible resource dynamic aggregation model of VPP is constructed.The improved wolf pack algorithm(WPA)is used to optimize the satisfaction factor of the satisfactory decision.The results show that compared with traditional methods,the improved WPA algorithm can significantly reduce costs,enabling VPP to meet electricity demand through gas turbines and energy storage equipment during peak periods,thereby enhancing the flexibility and economy of the power system.
詹隽;黄媚;孙晓佳;陈作伟;李扬;张之涵
深圳供电局有限公司,广东 深圳 518001深圳供电局有限公司,广东 深圳 518001深圳供电局有限公司,广东 深圳 518001深圳供电局有限公司,广东 深圳 518001深圳供电局有限公司,广东 深圳 518001深圳供电局有限公司,广东 深圳 518001||天津大学电气自动化与信息工程学院,天津 300372
能源科技
虚拟电厂资源聚合狼群算法燃气轮机储能系统
virtual power plantresource aggregationwolf pack algorithmgas turbineenergy storage system
《节能》 2026 (2)
16-20,5
深圳供电局有限公司科技项目(项目编号:090000KC22120002)
评论