摘要
虚拟电厂采用先进的控制手段,集分布式资源和负荷为一体,构建综合能源服务商,可有效提升分布式资源的综合效益。考虑分布式储能充放电及分布式电源的不确定性,提出了计及分布式储能响应的虚拟电厂优化调度模型。该模型考虑分布式储能充放电的运行约束,以总发电量的利润作为优化目标函数,采用网格细菌群体趋药性算法对优化模型进行求解。最后通过仿真算例验证了所提模型的有效性。
The virtual power plant adopts advanced control methods, integrates distributed resources and loads, and builds an integrated energy service provider, which can effectively improve the comprehensive benefits of distributed resources. The uncertainty of distributed energy storage charging and discharging and distributed power sources being considered, and a virtual power plant optimal scheduling model that takes into account the response of distributed energy storage is proposed. The model considers the operating constraints of distributed energy storage charging and discharging, takes the profit of the total power generation as the optimization objective function, and uses the grid bacteria colony chemotaxis algorithm to solve the optimization model. Finally, a simulation example verifies the effectiveness of the proposed model.
作者
李颖杰
庞宁
黄安子
易潇然
李冰
夏敏丽
LI Yingjie;PANG Ning;HUANG Anzi;YI Xiaoran;LI Bing;XIA Minli(Shenzhen Power Supply Co.,Ltd.,Shenzhen Guangdong 518000,China;Shenzhen Power Grid Smart Energy Technology Co.,Ltd.,Shenzhen Guangdong 518000,China)
出处
《电子器件》
CAS
北大核心
2022年第5期1230-1234,共5页
Chinese Journal of Electron Devices
基金
中国南方电网有限责任公司科技项目资助(2018YFB0905300)。
关键词
虚拟电厂
分布式储能
优化调度
发电量
virtual power plant
distributed energy storage
optimal dispatch
generation capacity
