电力系统自动化2025，Vol.49Issue(21)：64-73,10.DOI:10.7500/AEPS20240521005
计及电能质量的虚拟电厂分时电价主从博弈优化方法
Optimization Method of Stackelberg Game for Time-of-use Electricity Price of Virtual Power Plants Considering Power Quality
摘要
Abstract
The direct control of massive dispersed flexible resources by distribution network operators(DGOs)is facing multiple difficulties in communication,computation,and market organization.Oriented to the scenarios of extensive Internet of Things(IOT)connectivity and intelligent control of flexible resources,an optimization model for maximizing the benefits of flexible resources under the guidance of time-of-use price(TOUP)is constructed to give full play to the ability of flexible resources to respond to power grid dispatching.Based on Stackelberg game theory,the Stackelberg game model containing power tracking objective of virtual power plant(VPP)and maximization objective of users benefit is established with TOUP as a link,and the Kriging model is introduced to accelerate the game solving.Simulation results show that the TOUP obtained from the Stackelberg game can not only guide the VPP to reach higher precision in power tracking,but also improve its power quality.This model is suitable for application scenarios with various flexible resource types,weather types,comfort requirements,power tracking objectives,electricity price parameters,etc.Compared with the genetic algorithm and particle swarm optimization,the solution method of the proposed model achieves a speedup of over 10 times.关键词
虚拟电厂/柔性资源/功率跟踪/分时电价/主从博弈/Kriging模型Key words
virtual power plant/flexible resource/power tracking/time-of-use price/Stackelberg game/Kriging model引用本文复制引用
戚军,王浚潇,胡伟俊,张晓峰,谢路耀..计及电能质量的虚拟电厂分时电价主从博弈优化方法[J].电力系统自动化,2025,49(21):64-73,10.基金项目
浙江省科技计划资助项目:"320kW超高功率密度智能组串式光伏逆变器开发与应用"(2023C01228). This work is supported by Zhejiang Provincial Science and Technology Program Project of China(No.2023C01228). （2023C01228）
