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Optimal Sizing of Renewable Energy Resources in a Microgrid for a Distributed Generation System

机译:用于分布式发电系统的微电网中可再生能源的最佳尺寸

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In most of the rural and isolated regions the grid supply is not available or continuous supply is rarely available. The renewable energy resources as distributed generators can be utilized for such requirements. The appropriate selection of renewable energy resources is of utmost importance for designing the microgrid in distributed power generation systems. The paper focuses on the problem of optimal sizing and minimization of investment cost. The proposed method of optimal sizing is a two constraint based linear programming (TCLP) technique. This technique considers the variability of solar irradiance, temperature and wind of the selected site. The proposed technique is designed in two stages firstly, optimal sizing of solar photovoltaic (SPV) system and wind energy generation system (WEGS), secondly, sizing of the battery energy storage system (BESS) for complete off grid system to meet the load demands. The proposed technique aims to prevent over and under sizing by analyzing the load demand profile according to the time of usage (TOU). The assessment of loads into four different categories helped in generation of load demand profile for a year. Results of the optimization problem have demonstrated that the optimally designed distributed generation system has a payback period of 4.88 years.
机译:在大多数农村和孤立的区域中,网格供应不可用或连续供应很少可用。可再生能源资源作为分布式发电机可用于此类要求。 The appropriate selection of renewable energy resources is of utmost importance for designing the microgrid in distributed power generation systems.本文重点介绍了最优尺寸和最小化投资成本的问题。所提出的最佳尺寸方法是基于两个约束的线性编程(TCLP)技术。该技术考虑了所选地点的太阳辐照度,温度和风的可变性。所提出的技术首先设计了两个阶段,最佳尺寸的太阳能光伏(SPV)系统和风能发电系统(WEGS),其次,用于完整的网格系统的电池储能系统(BESS)的尺寸,以满足负载需求。该提出的技术旨在通过根据使用时间(TOU)分析负载需求曲线来防止尺寸过度。对四种不同类别的负载评估有助于一年产生负载需求概况。优化问题的结果表明,最佳设计的分布式发电系统的投资回收期为4.88年。

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