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Peak-Shaving of Feed-in PV Power for Residential PV-Battery System with Added Feedback-Adjustment Scheme

机译：具有额外反馈调整方案的住宅PV电池系统进料PV电力的峰值剃

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摘要

Today, there is a large increase in renewable energy electricity production. Especially, PV is widely used, but this type of power generator is inconsistently in electricity production. So, it is necessary to control its use properly. This paper presents a methodology to manage Battery Energy Storage System (BESS) with forecast-based operation by the time-series with the Box-Jenkins method for residential building. The objective is to increase installation capacity of PV in the feeder of distribution system, by developing the peak-shaving method of PV-generated power. The proposed scheme not only optimizes the feed-in limitation, but also maximizes the Self-Consumption of the produced power. The uncertainty of PV power forecast is handled by a proper setting of SoC margin and an added feedback-adjustment scheme. The validity of the proposed concept is verified by the simulation with the real data of PV power generation.
机译：今天，可再生能源电力生产大幅增加。 特别是，PV被广泛使用，但这种类型的发电机在电力生产中不一致。 因此，有必要控制其使用。 本文介绍了一种方法来管理电池储能系统（BESS），其与基于预测的运行通过与盒式箱的盒子 - Jenkins方法用于住宅建筑。 目的是通过开发PV产生功率的峰剃料方法，提高分配系统馈线中PV的安装能力。 所提出的方案不仅优化了饲料限制，而且还可以最大限度地提高所产生的功率的自耗。 PV功率预测的不确定性由SoC余量的适当设置和附加的反馈调整方案进行处理。 通过使用光伏发电的真实数据来验证所提出的概念的有效性。

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