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首页> 外文期刊>Energy >Optimum design of a hybrid diesel-ORC / photovoltaic system using PSO: Case study for the city of Cujubim, Brazil
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Optimum design of a hybrid diesel-ORC / photovoltaic system using PSO: Case study for the city of Cujubim, Brazil

机译:基于PSO的混合柴油/ ORC /光伏系统的优化设计-以巴西居朱比姆市为例。

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摘要

In this work, the optimal design of a hybrid electric power generation system for isolated zones, using Particle Swarm Optimization (PSO) technique, is presented. A study is carried out taking as case of study, the city of Cujubim, in the state of Rondonia-Brazil, consisting of photovoltaic panels, a diesel generator, batteries and an organic Rankine Cycle, which is used for the heat recovery of the exhaust gases from the diesel generator sets, what is the novelty of this study. Decision variables, involved in the optimal design problem of the hybrid system, are the number of photovoltaic panels, the number of batteries and the nominal power of the diesel generator. Directly connected to the size of the diesel generator, is the nominal power of ORC system, not being a decision variable. All components are modeled and the objective function is the cost of power generation, with system reliability, results of the simulation show that the hybrid system is profitable to supply electric power demand of a selected city. (C) 2017 Elsevier Ltd. All rights reserved.
机译:在这项工作中,提出了使用粒子群优化(PSO)技术的隔离区域混合发电系统的优化设计。进行研究时,以Rondonia-巴西州的Cujubim市为例,该市由光伏板,柴油发电机,电池和有机朗肯循环组成,用于回收废气的热量来自柴油发电机组的气体,这项研究的新颖之处是什么。涉及混合动力系统最佳设计问题的决策变量是光伏板的数量,电池的数量和柴油发电机的标称功率。 ORC系统的标称功率直接与柴油发电机的尺寸相连,而不是决定变量。对所有组件进行了建模,目标函数是发电成本,具有系统可靠性,仿真结果表明,混合动力系统可满足选定城市的电力需求。 (C)2017 Elsevier Ltd.保留所有权利。

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