微电网风光储容量优化配置  

Optimization of Power Capacity Allocation of Wind-Wind Microgrid Based on NGO Algorithm

作　　者：谢菁 吴政声 万航羽 支刚 Xie Jing;Wu Zhengsheng;Wan Hangyu;Zhi Gang(China Energy Construction Group Yunnan Electric Power Design Institute,Kunming 650011,Yunnan,China)

机构地区：[1]中国能源建设集团云南省电力设计院有限公司,云南昆明650011

出　　处：《云南电力技术》2024年第4期19-24,共6页Yunnan Electric Power

摘　　要：与光伏或风能独立供电系统相比,风光互补系统能更好适应环境变化,再具有储能调节功能,风能、太阳能和电池微电网可更好利用清洁能源,满足系统用电需求。本文研究了含风光储微电网风光组件和蓄电池的最佳容量配置,将微电网的供电可靠性、供需平衡和蓄电池荷电状态作为约束条件,以电网运行成本为最小目标函数,提出了基于北方苍鹰算法来求解模型。通过算例分析,场景3为算例微电网的最优容量配置方案,其运行成本比场景1、2分别下降12.48%、4.07%,验证了所提模型的有效性,具有工程应用价值。Compared with photovoltaic or wind energy independent power supply system,wind-solar complementary system can better adapt to environmental changes,and then have energy storage adjustment function,wind energy,solar energy and battery microgrid can better use clean energy to meet the system electricity demand. In this paper, the optimal capacity configuration of wind-solar components and batteries in wind-solar microgrid with wind-solar storage is studied.The reliability of power supply,supply and demand balance and the state of battery charge of micro-grid are taken as constraints,and the operating cost of grid is taken as the minimum objective function. Through the analysis of the example, scenario 3 is the optimal capacity configuration scheme of the example microgrid,and its operating cost is reduced by 12.48%and 4.07%compared with scenario 1 and scenario 2,respectively,which verifies the effectiveness of the proposed model and has engineering application value.

关 键 词：微电网系统 风光互补 北方苍鹰优化(NGO) 容量配置 电池荷电状态(SOC) 

分 类 号：TM74[电气工程—电力系统及自动化]