Multi-objective optimization for capacity of non-grid-connected wind/hydrogen hybrid power system

被引：0

作者：

Ma, Ronggu ^{[1
]}

Chen, Jie ^{[1
]}

Zhao, Junchao ^{[1
]}

Zhang, Hongwei ^{[1
]}

Sun, Ming ^{[1
]}

机构：

[1] School of Electrical Engineering, Xinjiang University, Urumqi,830047, China

来源：

Taiyangneng Xuebao/Acta Energiae Solaris Sinica | 2019年 / 40卷 / 02期

关键词：

Capacity configuration - Elitist non-dominated sorting genetic algorithms - Hydrogen storage tank - Loss of power supply probability - Multi-objective functions - Non- dominated sorting genetic algorithms - Power supply reliability - Wind farm output power;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

In order to solve the load problem that wind farm output power satisfies best in the least economic cost, a capacity allocation scheme based on total installation cost of wind turbines and the hydrogen manufacture-storage-combustion device, load shortage rate LPSP(loss of power supply probability) and wind-hydrogen complementary system FPP (fluctuation of power probability) is put forward. One day's wind speed and load in a certain area is used to write the multi-objective function optimization program based on elite non-dominated sorting genetic algorithm NSGA-II in Matlab, and carry out the optimal capacity configuration for wind turbines, electrolytic cell - hydrogen storage tanks-hydrogen burning gas turbine systems and obtain the optimum combination scheme. The optimized complementary system can effectively guarantee its economy and power supply reliability. © 2019, Editorial Board of Acta Energiae Solaris Sinica. All right reserved.

引用

页码：422 / 429