A reliable methodology based on mine blast optimization algorithm for optimal sizing of hybrid PV-wind-FC system for remote area in Egypt
A reliable methodology based on mine blast optimization algorithm for optimal sizing of hybrid PV-wind-FC system for remote area in Egypt
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DOI：
10.1016/j.renene.2016.04.030
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发表时间：
2016-09
期刊：
影响因子：
8.7
通讯作者：
A. Fathy
中科院分区：
文献类型：
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作者：
A. Fathy
在本文中，一个可靠的方法纳入地雷爆炸算法（MBA）应用于解决最佳规模的光伏组件，风力涡轮机和燃料电池（PV/WT/FC）组成的混合动力系统，以满足一定的负载在埃及偏远地区。最优规模过程的主要目标是在负荷覆盖范围内实现系统的最小年成本。根据位于埃及赫勒万市天文学和地球物理学国家研究所的太阳辐射和气象站记录的太阳辐射、环境温度和风速的真实的测量数据，最佳地执行尺寸确定过程。其他三个元启发式优化技术，粒子群优化，布谷鸟搜索和人工蜂群应用到解决问题，并与所提出的方法所得到的结果进行了比较。一个电源管理策略，调节每个系统组件之间的功率流。所得到的结果表明，应用所提出的方法将节省约24.8%的年度总成本的拟议系统相比，PSO，8.956%相比，CS和11.5576%相比，ABC。该算法的MBA的基础上解决的混合光伏/WT/FC系统的最佳尺寸的优化问题的候选人。
In this paper, a reliable methodology incorporated mine blast algorithm (MBA) is applied to solve the optimal sizing of a hybrid system consisting of photovoltaic modules, wind turbines and fuel cells (PV/WT/FC) to meet a certain load of remote area in Egypt. The main objective of the optimal sizing process is to achieve the minimum annual cost of the system with load coverage. The sizing process is performed optimally based on real measured data for solar radiation, ambient temperature and wind velocity recorded by the solar radiation and meteorological station located at national research institute of astronomy and geophysics, Helwan city, Egypt. Three other meta-heuristic optimization techniques, particle swarm optimization, cuckoo search and artificial bee colony are applied to solve the problem and the results are compared with those obtained by the proposed methodology. A power management strategy that regulates the power flow between each system component is also presented. The obtained results show that; applying the proposed methodology will save about 24.8% in the annual total cost of the proposed system compared with PSO, 8.956% compared with CS and 11.5576% compared with ABC. The proposed algorithm based on MBA is candidate for solving the presented optimization problem of optimal sizing the hybrid PV/WT/FC system.