电力信息与通信技术2024，Vol.22Issue(8)：27-36,10.DOI:10.16543/j.2095-641x.electric.power.ict.2024.08.04
计及虚拟电厂内需求侧灵活性资源的实时电价和V2G协调优化调度策略
The Real-time Electricity Price and V2G Coordinated Optimal Scheduling Strategy Considering Demand-side Flexibility Resources in VPP
摘要
Abstract
The formulation of reasonable and effective electricity price strategy and EV charging and discharging strategy can provide guarantee for the economic and stable operation of power grids.In this paper,considering the interests of load users,virtual power plant operators and the upper power grid,a real-time electricity price model based on price demand response is established to smooth the fluctuation of net load power.The particle swarm optimization algorithm is improved by introducing multi-population interaction,simulated annealing,optimal individual disturbance and other mechanisms,and the real-time electricity price scheme is obtained by using the algorithm.Then,based on the time-shift characteristics of EVs in residential areas,the optimal scheduling model is established with the maximum benefit of VPP and the minimum charging cost of EVs as scheduling objectives on the two-day economic scheduling time scale of VPP.The calculation example verifies that the strategy improves the stability and economy of VPP operation,and reduces the average interaction electricity and peak-valley difference with the upper power grid.关键词
需求响应/优化调度/虚拟电厂/粒子群算法/教与学优化算法/实时电价Key words
demand response/optimal scheduling/virtual power plant/particle swarm optimization algorithm/teaching-learning based optimization algorithm/real-time electricity price分类
信息技术与安全科学引用本文复制引用
任帅,肖楚鹏,梁新龙,刘进进,徐梁,徐贺..计及虚拟电厂内需求侧灵活性资源的实时电价和V2G协调优化调度策略[J].电力信息与通信技术,2024,22(8):27-36,10.基金项目
国家电网南瑞集团有限公司项目资助"面向双碳目标的新型电力系统可调节负荷资源智能互动关键技术及装置研制"(SGNR0000KJJS2105361). （SGNR0000KJJS2105361）
