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Reliability/cost-based multi-objective Pareto optimal design of stand-alone wind/PV/FC generation microgrid system

机译:独立式风能/光伏发电/光伏发电微电网系统基于可靠性/成本的多目标帕累托最优设计

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The main goal for designing hybrid wind solar generating microgrid systems is reliable supply of load, under varying weather conditions, with the minimum cost and maximum reliability. In this paper, a hybrid wind-solar generation microgrid system with hydrogen energy storage is designed for a 20-year period of operation using novel multi-objective optimization algorithm to minimize the three objective functions namely annualized cost of the system, loss of load expected and loss of energy expected. System costs involve investment, replacement and operation and maintenance costs and the major components of system may be subjected to failure. The simulation results based on multi-objective particle swarm optimization for different cases reveal the impact of components outage on reliability and cost of the system. In addition, an approximate method for reliability evaluation of hybrid system is presented which lead to reduce computation time. Simulation results show effectiveness of proposed multi-objective algorithm to solve optimal sizing problem in contrast with traditional single objective methods. (C) 2016 Elsevier Ltd. All rights reserved.
机译:设计混合风能太阳能发电微电网系统的主要目标是在变化的天气条件下以最小的成本和最大的可靠性可靠地提供负载。在本文中,使用新颖的多目标优化算法设计了具有氢能存储的混合风能太阳能发电微电网系统,该系统可运行20年,以最小化三个目标函数,即系统的年化成本,预期的负载损失和预期的能量损失。系统成本涉及投资,更换以及运行和维护成本,并且系统的主要组件可能会发生故障。基于多目标粒子群优化算法在不同情况下的仿真结果揭示了组件故障对系统可靠性和成本的影响。此外,提出了一种混合系统可靠性评估的近似方法,从而减少了计算时间。仿真结果表明,与传统的单目标方法相比,所提出的多目标算法可以有效地解决最优尺寸问题。 (C)2016 Elsevier Ltd.保留所有权利。

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