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Optimal sizing of a grid-connected hybrid system for north-west of Iran-case study

机译:伊朗西北部并网混合动力系统的最佳尺寸-案例研究

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In this paper, a grid-connected hybrid wind/photovoltaic/battery power system is designed. The aim of design is minimization of annualized cost of the hybrid system over its 20 years of operation. The optimization problem is subject to economic and technical constraints. System costs involve investments, replacements and operation and maintenance as well as loss of load costs. The technical constraint, related to system reliability, is expressed by the equivalent loss factor. The reliability index is calculated from components' failure. Finally, hybrid system with best configuration that has minimum cost and can satisfy the constraints is selected. Particle Swarm optimization (PSO) algorithm is used for optimal sizing of system's components. The characteristics of components are commercially available and this study is performed for the special region in North - West of Iran.
机译:在本文中,设计了并网的风/光伏/电池混合动力系统。设计的目的是使混合动力系统在运行20年中的年化成本降至最低。优化问题受经济和技术约束。系统成本涉及投资,更换,操作和维护以及负载成本损失。与系统可靠性有关的技术约束由等效损耗因子表示。可靠性指标是根据组件的故障计算得出的。最后,选择成本最低且能够满足约束条件的最佳配置的混合动力系统。粒子群优化(PSO)算法用于优化系统组件的大小。组件的特性可通过商业途径获得,并且该研究针对伊朗西北部的特殊地区进行。

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