文献类型：期刊文献

中文题名：光伏微网下考虑V2G补偿蓄电池容量的优化调度策略

英文题名：Optimal Scheduling Strategy Considering V2G Compensated Battery Capacity under Photovoltaic Microgrids

作者：黄亚北[1];张子航[1];米彦博[1]

机构：[1]华东理工大学国际卓越工程师学院,上海201424

年份：2024

卷号：14

期号：11

起止页码：168

中文期刊名：现代工业经济和信息化

外文期刊名：Modern Industrial Economy and Informationization

语种：中文

中文关键词：光伏微网;V2G;协同调度;经济优化;负荷波动率;粒子群算法

外文关键词：photovoltaic microgrid;V2G;cooperative scheduling;economic optimization;load volatility;particle swarm algorithm

摘要：针对光伏微网出力波动大需要大额储能容量平抑负荷的问题,为减少储能投资,考虑到V2G具有储能特性,给出了决策变量范围,功率平衡要求的约束条件及能量交换策略。通过建立光伏微网中以经济性和并网负荷波动率为双目标的蓄电池和V2G的协同调度模型。采用粒子群算法,对电网、微网调度中心和电动汽车用户三方在无、无序、转移和调度V2G电动汽车负荷四种运行模式下的经济和安全影响进行对比。最后,根据算例分析,求解四种模式下两级负荷曲线及经济收益表。对比分析得出,引入V2G可以替代部分容量的蓄电池,使光伏微网在负荷峰谷平抑、三方经济和安全等方面进一步优化。
Aiming at the problem of large power fluctuation in photovoltaic(PV)microgrids,which requires a large amount of energy storage capacity to calm the load,in order to minimize the investment in energy storage,and considering that the V2G has the characteristic of energy storage,the range of decision variables,the constraints of the power balance requirements,and the energy exchange strategy are given.By establishing a cooperative scheduling model of storage battery and V2G in PV microgrid with the dual objectives of economy and grid-connected load fluctuation rate.The particle swarm algorithm is used to compare the economic and safety impacts of four operation modes,namely,no,uncontrolled,transferring and dispatching V2G EV loads,among the three parties:the grid,the microgrid scheduling center and the EV users.Finally,based on the example analysis,the two-level load curves and the economic benefit table under the four modes are solved.The comparative analysis concludes that the introduction of V2G can replace part of the capacity of the battery,so that the photovoltaic microgrid can be further optimized in terms of load peaks and valleys smoothing,tripartite economy and safety.