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The Implementation of Smart Meters for Electric Grid Improvements and Reliable Power Flow Data on Electrical Power Distribution Network

机译:配电网智能电表的改进及可靠潮流数据的实现

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High electrical power loss is of concern in South Africa and it is an issue that many power utilities around the world encounter. Technical and non-technical losses are the contributing factors of electrical power losses. Technical losses are regarded as the electrical system losses which are caused by network impedance, current flows, and auxiliary supplies. Electricity thefts, measurement system errors and non-payments of bills are the contributing factors to non-technical losses which resulted in revenue loss increasing every year in Eskom. The smart grid with smart meters implemented promises to be an effectively integrated technology to address the issue of non-technical losses. To analyze the effectiveness of smart prepaid split meters implementation on Eskom distribution networks, a quantitative random sample assessment of 334 respondents was evaluated using a self-administered questionnaire. The collected data was analyzed with Statistical Package for the Social Sciences software (SPSS) version 26.0 and Microsoft Excel 2016 version to achieve multi-objective decision-making for smart prepaid split metering effectiveness for both utility and customer satisfaction. The different inferential statistics techniques used include regression, correlations, multifactor analysis (MFA), and chi-square goodness of fit test to interpret the p-values, identify the change-point, detect the trend and to correlated best fit time series for decision making. The findings showed that smart metering usage as emerging technology has offer multiple benefits to utilities and provide a possible long-term solution to many of the power-related problems utilities face.
机译:在南非,高电功率损耗令人担忧,这是世界各地许多电力公司所遇到的问题。技术和非技术损失是造成电力损失的因素。技术损耗被认为是由网络阻抗,电流和辅助电源引起的电气系统损耗。电力盗窃,测量系统错误和未付账单是造成非技术性损失的因素,这些非技术性损失导致Eskom的收入损失逐年增加。实施了智能电表的智能电网有望成为解决非技术损失问题的有效集成技术。为了分析智能预付费分表在Eskom配电网络上实施的有效性,使用自我管理的问卷对334名受访者进行了定量随机抽样评估。使用社会科学软件(SPSS)26.0版和Microsoft Excel 2016版的统计软件包对收集到的数据进行分析,以实现多目标决策,从而实现智能预付费分流计量的效用,同时满足公用事业和客户满意度。使用的不同推论统计技术包括回归,相关性,多因素分析(MFA)和拟合优度检验,以解释p值,识别变化点,检测趋势并关联最佳拟合时间序列以供决策制作。研究结果表明,作为新兴技术的智能电表使用为公用事业带来了诸多好处,并为公用事业面临的许多与电力相关的问题提供了可能的长期解决方案。

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