{"title":"毛里求斯高光伏渗透率下配电网性能分析","authors":"Waseem Ahmad Nosimohomed","doi":"10.1109/ICONIC.2018.8601224","DOIUrl":null,"url":null,"abstract":"Traditionally, for a radial low-voltage (LV) distribution network serving residential loads, it was simpler for the electric utility to predict the demand and adjust the generation from power plants accordingly, thus offering a high reliability of supply. However, with the increasing penetration of photovoltaics (PV) on rooftops of residential houses, it has become difficult to ensure the same reliability without the performance of the distribution network being affected. At times of low loads in residential houses, PV systems will inject power upstream of the host LV network and affect the behavior of the distribution network. In this paper, an LV distribution feeder in Mauritius has been modelled on DigSILENT Power Factory software to simulate how the network performance is affected under high PV penetration. Novel indices were developed for analyzing grid behavior in terms of maximum voltage variation from nominal value, average feeder loading, feeder losses, and transformer reserve. These performance indices were evaluated against three different voltage control strategies of PV inverters in order to choose the best one which will optimize the performance of the network. Furthermore, variations in the loads and PV generation over a 24-hour period were also considered in the performance analysis of the grid.","PeriodicalId":277315,"journal":{"name":"2018 International Conference on Intelligent and Innovative Computing Applications (ICONIC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Performance Analysis of Distribution Networks under high Penetration of Photovoltaics in Mauritius\",\"authors\":\"Waseem Ahmad Nosimohomed\",\"doi\":\"10.1109/ICONIC.2018.8601224\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Traditionally, for a radial low-voltage (LV) distribution network serving residential loads, it was simpler for the electric utility to predict the demand and adjust the generation from power plants accordingly, thus offering a high reliability of supply. However, with the increasing penetration of photovoltaics (PV) on rooftops of residential houses, it has become difficult to ensure the same reliability without the performance of the distribution network being affected. At times of low loads in residential houses, PV systems will inject power upstream of the host LV network and affect the behavior of the distribution network. In this paper, an LV distribution feeder in Mauritius has been modelled on DigSILENT Power Factory software to simulate how the network performance is affected under high PV penetration. Novel indices were developed for analyzing grid behavior in terms of maximum voltage variation from nominal value, average feeder loading, feeder losses, and transformer reserve. These performance indices were evaluated against three different voltage control strategies of PV inverters in order to choose the best one which will optimize the performance of the network. Furthermore, variations in the loads and PV generation over a 24-hour period were also considered in the performance analysis of the grid.\",\"PeriodicalId\":277315,\"journal\":{\"name\":\"2018 International Conference on Intelligent and Innovative Computing Applications (ICONIC)\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Intelligent and Innovative Computing Applications (ICONIC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICONIC.2018.8601224\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Intelligent and Innovative Computing Applications (ICONIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICONIC.2018.8601224","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
传统上,对于服务于居民负荷的径向低压配电网,电力公司更容易预测需求并相应地调整发电厂的发电量,从而提供高可靠性的供电。然而,随着光伏在住宅屋顶上的普及,在不影响配电网性能的情况下保证相同的可靠性变得越来越困难。在住宅低负荷时,光伏系统将向主机低压电网上游注入电力,影响配电网的行为。本文采用DigSILENT Power Factory软件对毛里求斯的低压配电馈线进行建模,以模拟高光伏渗透率下网络性能的影响。开发了新的指标来分析电网行为的最大电压变化从标称值,平均馈线负荷,馈线损耗和变压器储备。针对三种不同的电压控制策略对这些性能指标进行了评估,以选择最优的电压控制策略来优化电网的性能。此外,在电网性能分析中也考虑了24小时内负荷和光伏发电的变化。
Performance Analysis of Distribution Networks under high Penetration of Photovoltaics in Mauritius
Traditionally, for a radial low-voltage (LV) distribution network serving residential loads, it was simpler for the electric utility to predict the demand and adjust the generation from power plants accordingly, thus offering a high reliability of supply. However, with the increasing penetration of photovoltaics (PV) on rooftops of residential houses, it has become difficult to ensure the same reliability without the performance of the distribution network being affected. At times of low loads in residential houses, PV systems will inject power upstream of the host LV network and affect the behavior of the distribution network. In this paper, an LV distribution feeder in Mauritius has been modelled on DigSILENT Power Factory software to simulate how the network performance is affected under high PV penetration. Novel indices were developed for analyzing grid behavior in terms of maximum voltage variation from nominal value, average feeder loading, feeder losses, and transformer reserve. These performance indices were evaluated against three different voltage control strategies of PV inverters in order to choose the best one which will optimize the performance of the network. Furthermore, variations in the loads and PV generation over a 24-hour period were also considered in the performance analysis of the grid.