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

机译:使用高分辨率资源评估与天空成像仪高分辨率评估高渗透的模型预测上载开关控制

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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:在本文中开发并应用了降低高光伏渗透器导致的OLTC操作的控制策略。该策略采用5分钟的太阳能预测来派生在分配馈线上的未来电压状态。不必要的Tap操作(to)被标识为在5分钟内反转的Tap,可能是因为相邻光伏系统上的临时多云或清晰的条件。不必要被淘汰。在平均每天750多个超过750的饲养者上,策略导致避免了56%的往返,这将导致OLTC维护成本的显着节省。通过应用到减少技术,平均极端电压不受影响。虽然整个馈线的每日最大和最小电压偏移在几天内略微增加,但统计分析表明这些偏差很少发生。该策略在部分多云的日子和大量到电压调节器上最有效,而避免的一部分大幅度降低至每天至40至40至40次。该控制算法被证明是对最新的天空成像仪预测中固有的预测错误的稳健。

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