首页> 外文会议>IEEE Power and Energy Society General Meeting >Model predictive on-load tap changer control for high penetrations of PV using high resolution resources assessment with sky imager
【24h】

Model predictive on-load tap changer control for high penetrations of PV using high resolution resources assessment with sky imager

机译:使用天空成像仪的高分辨率资源评估,对高PV穿透率进行模型预测的有载分接开关控制

获取原文

摘要

A control strategy to reduce OLTC operations resulting from high PV penetration on distribution feeders was developed and applied in this paper. The strategy uses 5-minute-ahead solar forecast to derive future voltage states on the distribution feeder. Unnecessary tap operations (TO) are identified as those that are reversed within 5 minutes, likely because of temporary cloudy or clear conditions over adjacent PV systems. Unnecessary TO are eliminated. On a feeder where TO were abundant at over 750 per day on average, the strategy resulted in the avoidance of 56% of the TO, which would result in significant savings in OLTC maintenance costs. Average extreme voltages were not affected by applying the TO reduction techniques. While daily maximum and minimum voltage excursions over the entire feeder slightly increased on several days, statistical analysis demonstrates that these deviations happened very rarely. The strategy is most effective on partly cloudy days and on voltage regulators with a large number of TO, while the fraction of avoided TO decreased substantially for less than 10 to 40 TO per day. The control algorithm was shown to be robust against forecast errors inherent in state-of-the art sky imager forecasts.
机译:本文开发并应用了一种控制策略,该策略可减少由于配电馈线上的高PV渗透而导致的OLTC操作。该策略使用提前5分钟的太阳预报来推导出配电馈线上的未来电压状态。不必要的抽头操作(TO)被标识为5分钟内反转的操作,这可能是由于相邻PV系统出现暂时性的阴天或晴天所致。消除了不必要的TO。在平均每天有超过750个TO的支线飞机上,该策略可避免56%的TO,这将大大节省OLTC维护成本。平均极端电压不受采用TO降低技术的影响。尽管整个馈线的每日最大和最小电压偏移量在几天内略有增加,但统计分析表明,这些偏差很少发生。该策略在部分阴天和具有大量TO的电压调节器上最有效,而避免的TO比例每天显着下降,少于10到40 TO。事实证明,该控制算法具有强大的鲁棒性,可抵御最新的天空成像仪预报中固有的预报误差。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号