Optimal grid connected hybrid energy system for Egyptian residential area

2017 International Conference on Sustainable Energy Engineering and Application (ICSEEA) Pub Date : 2017-10-01 DOI:10.1109/ICSEEA.2017.8267687

Alaaeldin M. Abdelshafy, H. Hassan, Abdelfatah M. Mohamed, G. El-Saady, S. Ookawara

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引用次数: 5

Abstract

This article presents a grid-connected hybrid energy system (HES) including a photovoltaic array (PV), wind turbines (WT), fuel cell (FC), electrolyzer, diesel generator, hydrogen tanks (HT) and battery systems. A multi-objective genetic algorithm (MOGA) is applied to find the optimal size of HES components with zero load rejection and selling the excess energy to the grid. The main aim of this article is to minimize the cost of electricity generated (COE) and CO2 emission simultaneously. A case study proposed hybrid energy system loads are some residential buildings (one block) in New Assiut City, Egypt with a peak value of 160.2 kW and yearly energy of 430 MWh. An optimal planning is obtained with a lifetime of 20 years. A comparison between different configurations of HES is done. Results showed that HES comprising PV/WT/battery/diesel is the most feasible economically and produce less CO2 emission than other configurations. Further, it is helping to decrease the load demand of the utility grid.

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埃及住宅小区最优并网混合能源系统

本文介绍了一种并网混合能源系统(HES)，包括光伏阵列(PV)、风力涡轮机(WT)、燃料电池(FC)、电解槽、柴油发电机、氢罐(HT)和电池系统。采用多目标遗传算法(MOGA)寻找最优的零甩负荷HES组件尺寸，并将多余的能量出售给电网。本文的主要目的是同时最小化发电成本(COE)和二氧化碳排放。以埃及新阿西尤特市某住宅楼(一个街区)为例，提出混合能源系统负荷峰值为160.2 kW，年用电量为430 MWh。得到了寿命为20年的最优规划。对不同配置的HES进行了比较。结果表明，由PV/WT/电池/柴油组成的HES最经济可行，且二氧化碳排放量低于其他配置。此外，它还有助于减少公用电网的负荷需求。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2017 International Conference on Sustainable Energy Engineering and Application (ICSEEA)

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