现代电力2026，Vol.43Issue(2)：265-275,11.DOI:10.19725/j.cnki.1007-2322.2023.0380
含光热电站的虚拟电厂多时间尺度热电联合优化调度
Multi-time Scale Thermoelectric Joint Optimal Dispatching of Virtual Power Plant With Solar-thermal Power Station
摘要
Abstract
To enhance the accuracy of the virtual power plant scheduling plan and fully exploit the adjustment potential of flexible resources in the virtual power plant,in this paper we propose a day-ahead and intraday multi-time scale optimization scheduling method that makes both day-ahead and intraday forecast of wind and solar output as well as load.Additionally,we utilize energy storage batteries to smooth the fluctuations of intraday wind and solar output,employ solar-thermal power station to decouple the thermoelectric units with the aim of mitigating their minimum output,and consider demand response resources with varying response speeds.A multi-time scale thermoelectric joint optimization scheduling model for virtual power plants containing solar-thermal power stations is established,and the adaptive genetic algorithm is employed to solve it.The simulation results of the example show that,compared to traditional day-ahead scheduling,the multi-time scale optimal dispatching enables a more refined dispatching plan,thereby further promoting wind and solar consumption,reducing the output deviation of the virtual power plant,and improving the economy of the virtual power plant.关键词
虚拟电厂/多时间尺度/储能电池/光热电站/自适应遗传算法Key words
virtual power plant/multi-time scale/energy storage battery/solar-thermal power station/adaptive genetic algorithm分类
信息技术与安全科学引用本文复制引用
张国斌,朱岑,袁桂丽,付余,李洪波,杭晨辉..含光热电站的虚拟电厂多时间尺度热电联合优化调度[J].现代电力,2026,43(2):265-275,11.基金项目
内蒙古自治区科技重大专项项目(2021ZD0026).Science and Technology Major Special Project of Inner Mongolia Autonomous Region(2021ZD0026). （2021ZD0026）
