摘要
随着化石能源的枯竭,分布式能源系统成为研究热点。文中基于小区负荷进行建模,构建由光伏阵列、风力发电机、柴油发电机和蓄电池供电的分布式能源系统,提出了同时考虑净现值成本、环境惩罚和可再生能源利用小时数的多目标非线性优化模型。以风机类型,风机台数,光伏阵列容量,柴油发电机类型,柴油发电机台数,蓄电池类型,蓄电池组数为优化变量,采用带精英策略的非支配排序遗传算法,求解该优化模型。并对系统进行组件寿命敏感性分析,得到分布式能源子系统之间的关系。并以某小区微电网为例进行研究,与HOMER计算结果进行比较,最终得到小区微电网最优设备容量,结果表明所提出的优化设计方法合理可行,为工程设计提供案例。
With the exhaustion of fossil energy,distributed energy system has become a research hotspot.On the basis of isolated community load modeling,this paper builds a distributed energy system composed by photovoltaic array,wind generator,diesel generator and battery power supply,and proposes a multi-objective nonlinear optimization model that takes into account net present value cost,environmental penalty and renewable energy utilization hours simultaneously.The optimization variable was wind generator type,wind generator number,photovoltaic array capacity,diesel generator type,diesel generator number,battery type and battery number.A non-dominant sorting genetic algorithm with elite strategy was used to solve the optimization model.The relationship between distributed energy sub-system is obtained by analyzing component life sensitivity.Moreover,taking a residential community micro-grid as an example was studied and compared with calculation results of HOMER.Finally,the optimal equipment capacity of the residential community micro-grid was obtained.The results showed that the proposed optimization design method was reasonable and feasible,providing a case for engineering design.
作者
孙长海
鞠爽
陈百通
郭佳彬
李天明
Sun Changhai;Ju Shuang;Chen Baitong;Guo Jiabin;Li Tianming(School of Electrical Engineering,Dalian University of Technology,Dalian 116024,Liaoning,China;School of Control Science and Engineering,Dalian University of Technology,Dalian 116024,Liaoning,China)
出处
《电测与仪表》
北大核心
2022年第12期110-116,共7页
Electrical Measurement & Instrumentation
基金
大连理工大学实验室建设重点项目(20190104)。
关键词
小区负荷
多能互补
多目标优化
NSGA2
组件寿命敏感性
HOMER
residential community load
multi-energy complementary
multi-objective optimization
NSGA2
component lifetime sensitivity
HOMER
