Research on capacity optimization of PV-wind-diesel-battery hybrid generation system

被引:0
|
作者
Zhu, Cailing [1 ]
Liu, Furong [1 ]
Hu, Sheng [1 ]
Liu, Shu [2 ]
机构
[1] Wuhan Univ Technol, Coll Automat, Wuhan, Hubei, Peoples R China
[2] SINOMACH Intelligence Technol Res Inst, Wuhan, Hubei, Peoples R China
来源
2018 INTERNATIONAL POWER ELECTRONICS CONFERENCE (IPEC-NIIGATA 2018 -ECCE ASIA) | 2018年
关键词
PV-wind-diesel-battery system; Economic and technical indexes; Capacity optimization; PSO algorithm;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
For small scale isolated PV-wind-diesel-battery hybrid generation system, the capacity optimization needs to determine capacity of each component. This paper proposes an optimization method that takes economic and technical indexes into account, which optimize the capacity of the battery and diesel generators under the premise of satisfying the technical indexes, and also optimize capacity of wind turbine (WT) and photovoltaic array (PV) by considering the economic index. Among them, the economic index of the system is to minimize the life-cycle cost (LCC). According to the wind-solar resources of the installed site, the mathematical model of the system is built after analyzing the output characteristics of each micro-source and the energy dispatching strategy. Finally, the particle swarm optimization (PSO) algorithm is adopted to obtain the minimum cost and the optimal capacity configuration scheme by MATLAB simulation software. The influence of capacity of WT and PV on LCC is analyzed too.
引用
收藏
页码:3052 / 3057
页数:6
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