A Bottom-Up Approach to PV System Design for Rural Locality Electrification: A Case Study in Burkina Faso

D. Bonkoungou, S. Tassembédo, S. Zongo, Z. Koalaga
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Abstract

This work evaluates the performance of optimal hybrid PV/battery and PV/diesel generator renewable energy systems for a remote village in Burkina Faso. Based on socioeconomic data and the household sample survey, a technoeconomic simulation and optimization model of electrical loading are presented. Ant colony optimization (ACO) and the loss of power supply probability (LPSP) algorithms were used for the search of the optimal hybrid power system. For the selected village location, the results have shown that the hybrid PV/battery system represents the best renewable energy solution due to abundant solar irradiation and carbon emission free compared to the conventional diesel generator (DG) or PV/DG system. To reach the estimated load power demand of 2150 kWh for the studied location, optimized PV/battery configuration sizing required 650 PV modules of 250 W and 715 batteries of 300 Ah. The economical evaluation reveals a cost investment of about 1,293 025.7 USD for a lifetime of 25 years in comparison of that of PV/DG and DG systems, which are 1,088 701.9 USD and 1,682 850.6 USD, respectively. However, environmental and atmospheric pollution is minimized with a saving of more than 17943 tons of CO2. Therefore, the production of electricity from the PV/battery system leads to better competitiveness reliability for a socioeconomic development of studied remote villages.
自下而上的农村电气化光伏系统设计方法——以布基纳法索为例
这项工作评估了布基纳法索一个偏远村庄的最佳混合光伏/电池和光伏/柴油发电机可再生能源系统的性能。基于社会经济数据和住户抽样调查,建立了电力负荷的技术经济模拟与优化模型。采用蚁群算法(ACO)和电力损失概率算法(LPSP)搜索最优混合电力系统。对于选定的村庄位置,结果表明,与传统的柴油发电机(DG)或光伏/DG系统相比,光伏/电池混合系统具有丰富的太阳能照射和无碳排放,是最佳的可再生能源解决方案。为了达到研究地点估计的2150千瓦时的负载电力需求,优化的光伏/电池配置尺寸需要650个250瓦的光伏模块和715个300 Ah的电池。经济评价显示,在25年的寿命期内,光伏/DG和DG系统的成本投资分别为1088 701.9美元和1682 850.6美元,成本投资约为1293 025.7美元。然而,环境和大气污染被最小化,节省了超过17943吨二氧化碳。因此,光伏/电池系统的电力生产为所研究的偏远村庄的社会经济发展带来了更好的竞争力和可靠性。
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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