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A Novel Numerical Algorithm for Optimal Sizing of a Photovoltaic/Wind/Diesel Generator/Battery Microgrid Using Loss of Load Probability Index

机译:一种新型数值算法,用于最优尺寸的光伏/风/柴油发电机/电池微电池使用负载概率索引的损失

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摘要

This paper presents a method for determining optimal sizes of PV array, wind turbine, diesel generator, and storage battery installed in a building integrated system. The objective of the proposed optimization is to design the system that can supply a building load demand at minimum cost and maximum availability. The mathematical models for the system components as well as meteorological variables such as solar energy, temperature, and wind speed are employed for this purpose. Moreover, the results showed that the optimum sizing ratios (the daily energy generated by the source to the daily energy demand) for the PV array, wind turbine, diesel generator, and battery for a system located in Sohar, Oman, are 0.737, 0.46, 0.22, and 0.17, respectively. A case study represented by a system consisting of 30 kWp PV array (36%), 18 kWp wind farm (55%), and 5 kVA diesel generator (9%) is presented. This system is supposed to power a 200 kWh/day load demand. It is found that the generated energy share of the PV array, wind farm, and diesel generator is 36%, 55%, and 9%, respectively, while the cost of energy is 0.17 USD/kWh.
机译:本文介绍了一种确定在建筑物集成系统中安装的PV阵列,风力涡轮机,柴油发电机和蓄电池的最佳尺寸。所提出的优化的目的是设计能够以最小成本和最大可用性提供建筑负荷需求的系统。为此目的采用系统组件的数学模型以及太阳能,温度和风速等气象变量。此外,结果表明,PV阵列,风力涡轮机,柴油发电机和位于Sohar,AMAN的系统的最佳尺度比(由源头到日常能源需求产生的日常能源)为0.737,0.46分别为0.22和0.17。提出了由30 kWp PV阵列(36%),18kWP风电场(55%)和5 kVA柴油发电机(9%)组成的系统所代表的案例研究。该系统应该为200千瓦时/日载需求供电。发现PV阵列,风电场和柴油发电机的产生量分别为36%,55%和9%,而能源成本为0.17美元/千瓦时。

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