埃塞俄比亚awash7kg变电站配电系统可靠性及改进方案研究

Q2 Engineering
Jemal Mohammed Amin
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引用次数: 0

摘要

本文介绍了埃塞俄比亚Awash7千变电站配电系统可靠性及改进方案的研究。基本上,电力分配的可靠性一直是阿瓦什7千克城市面临的主要挑战。现有变电站存在频繁、长时间停电的问题。主要由短路(SC)和接地故障(EF)引起。此外,还有为操作和维护目的而计划的停机。因此,研究的目的是评估现有配电系统的可靠性,并提出解决方案的可靠性改进的启发式技术。为限制研究范围,选择变电站的15kv awash7kg城市支线作为可靠性改进措施。在研究中,采用启发式方法评估了四种不同的缓解方案,以提高系统的可靠性。从SAIDI最低的缓解方案中,选择SAIFI和预期不供应能源(EENS)作为最优方案。利用电瞬变分析程序(ETAP 16.0)软件进行了仿真计算。研究结果表明,通过在网络模型中引入缓解技术,与现有系统相比,SAIFI、SAIDI和EENS的Awash7千级城市馈线的总体可靠性分别提高了86%、85.4%和92.94%。经济分析表明,所选择的解决方案仅在实施可靠性缓解技术的3年投资回收期下,就可以从一个馈线的未售能源中节省成本20,229.47美元/年。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Study of Reliability of Power Distribution System and Improvement Options at Awash7 kilo Substation, Ethiopia
This paper presents a study of reliability of power distribution system and improvement options at Awash7 kilo substation in Ethiopia. Basically, power distribution reliability has been a major challenge in Awash7 kilo city. The existing substation has encountered frequent and long power interruptions problems. The interruptions are caused mainly by the short circuit (SC) and earth fault (EF). There are also planned outages for operation and maintenance purpose. Thus, the objective of the study is to assess the reliability of the existing distribution system and suggest solutions for reliability improvement in heuristic techniques. To limit the scope of the study, 15 kV Awash7 kilo city feeder of the substation has been chosen for the reliability improvement measures. In the study, four different mitigation scenarios have been assessed using the heuristic method to improve the system reliability. From the mitigation scenarios with the lowest SAIDI, SAIFI and Expected Energy Not Supplied (EENS) has been selected as an optimal one. The simulation results have been done with the help of Electrical Transient Analysis Program (ETAP 16.0) software. The result of this study reveals that the overall reliability of Awash7 kilo city feeder has been improved by 86%, 85.4% and 92.94% for SAIFI, SAIDI, and EENS respectively as compared with the existing system by incorporating a mitigation technology in to the network model. The economic analysis shows that the selected solution results in a cost saving of 20,229.47 USD per year from the unsold energy of one feeder only with three years payback period investment for the implementation of the reliability mitigation technology.
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