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：
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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.
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页码：422 / 429
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