尼日利亚电力系统网络的功率损耗测定、评估和改进

A. Airoboman, T. M. Tyo
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引用次数: 3

摘要

为了在尼日利亚电力部门(NPS)中记录可持续性,必须有一个良好的集成系统,该系统不易发生故障,并且在采取行动时随时可用。长期以来,NPS遭受了基础设施退化、政策瘫痪等诸多问题的困扰。然而,如果在识别网络中的薄弱环节方面做了必要的工作,并在清除线路上的故障方面采取相应的快速行动,那么就可以取得一些显著的成就。因此,本文以尼日利亚拉各斯的马里兰输变电站(MTS)为例,在电瞬态分析程序(ETAP) 12.6版上使用牛顿-拉夫森算法对NPS网络进行潮流分析。之所以选择这个地点,是因为拉各斯州对尼日利亚的经济活动很敏感。负载流分析结果表明,在负载1、负载3和负载5上存在电压违例,违例幅度分别为94.51%、94.91和94.79%。因此,T2A和T3A的支路损耗最高和最低分别为150.0kW和18.2kW。在ETAP环境约束下,采用最优电容布置(OCP)对线路损耗进行补偿。OCP的结果表明,它在四个候选总线上优化大小并放置了四个电容器组,其中包括load1总线,load2总线,load3总线和load5总线。load1、load2、load3、load4、load5的改善率分别为2.26%、1.12%、1.93%、1.12%、2.006%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Power Loss Determination, Assessment and Enhancement of the Nigerian Power System Network
For sustainability to be recorded in the Nigeria power sector (NPS), there must be a well-integrated system that is not easily prone to failure and is readily available when called into action. The NPS has overtime suffered from degraded infrastructure, policy paralysis to mention but few. However, if the needful is done with respect to identifying weak links in the network and a corresponding fast action in clearing failures along the line(s) then, some remarkable achievements could be recorded. This paper, therefore, carried out power flow analysis using the Newton Raphson Algorithm on the Electrical Transient Analyser Program (ETAP) version 12.6 on the NPS network using Maryland transmission station (MTS), Lagos, Nigeria as a case study. The choice of the location was as a result of the sensitivity of Lagos State in the economic activities of Nigeria. Results from the load flow indicated several voltage violations at load1 bus, load3 bus and load5 bus with magnitudes of 94.51, 94.91 and 94.79 % respectively. Consequently, transformers designated as T2A and T3A were said to have the highest and lowest branch losses of 150.0kW and 18.2kW respectively.  Compensation of the losses along the line was carried out using optimal capacitor placement (OCP) subjected to constraints on the ETAP environment. The results from the OCP showed that it optimally sized and placed four capacitor banks on four of the candidate buses, which include load1 bus, load2 bus, load3 bus and load5 bus. An improvement of 2.26%, 1.12%, 1.93%, 1.12% and 2.006% were recorded for load1 bus, load2 bus, load3 bus, load4 bus and load5 bus respectively.
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