摘要
微电网系统中如何进行风光储容量的最优配置,是目前微电网行业面临的一大难题。本文利用PVsyst软件建立光伏发电系统模型,考虑温度、灰尘等因素的影响,准确预测光伏系统的发电量;对负荷数据进行长期跟踪,利用负荷密度预测的方法考虑未来五年负荷的增长,并对现有负荷进行详细分析,建立负荷模型;结合Homer软件仿真,从消纳光伏发电系统剩余电力及峰谷电价差两方面进行分析,以度电成本最低为目标,给出微电网系统中光伏系统与储能容量的最佳配比。最后通过PSD-BPA软件对该微电网系统进行潮流分析,以验证光伏发电系统的接入节点电压波动范围符合规范要求。
How to optimize the allocation of wind,photovoltaic and energy storage capacity in the microgrid system is a major problem faced by microgrid industry at present.This paper establishes the photovoltaic power generation system model using PVsyst software,considering the influence of temperature,dust and other factors,to accurately predict the power generation of photovoltaic system.The load data is tracked for a long time.The load growth in the next five years is considered by using the load density prediction method,and the existing load is analyzed in detail to establish a load model.Combined with the simulation analysis of Homer software,the research and analysis are carried out from the aspects of absorbing the residual power of photovoltaic power generation system and the difference between peak and valley electricity prices.With the lowest electricity cost as the goal,the optimal ratio of photovoltaic system and energy storage capacity in the microgrid system is given.Finally,the power flow analysis of the microgrid system is carried out through PSD-BPA software,and the voltage fluctuation range of the access node of photovoltaic system is verified to meet the specification requirements.
作者
黎青
王万军
周振平
LI Qing;WANG Wanjun;ZHOU Zhenping(Shaanxi University of Technology,Hanzhong,Shaanxi 723001;Long Yuan(Beijing)Solar Energy Technology Co.,Ltd,Beijing 100083;Long Yuan(Beijing)Wind Power Engineering Technology Co.,Ltd,Beijing 100083)
出处
《电气技术》
2022年第12期17-23,共7页
Electrical Engineering
基金
陕西理工大学科研项目“智能微电网系统研究”(SLGKYXM2203)。
关键词
最优配比
剩余电力
峰谷电价差
光伏系统
储能
optimal ratio
surplus power
peak valley electricity price difference
photovoltaic system
energy storage