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Load peak shaving and power smoothing of a distribution grid with high renewable energy penetration

机译:具有高可再生能源渗透率的配电网的峰值削峰和功率平滑

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摘要

High penetration of renewable energy poses a significant challenge in operation of power system. A potential solution for this problem is utilizing Battery Energy Storage System (BESS). The purpose of this paper is to analyze the effectiveness of BESS ability to peak shave and smooth the load curve of an actual circuit on the island of Maui in Hawaii. The distribution circuit has about 850 kW of installed rooftop Photo-Voltaic (PV) generation. Higher penetration of PV increases the concern about the potential impacts on the transmission system. At first, we will present two different methods for load forecasting. Reliable forecasting of daily load is required to effectively utilize the BESS system. We have employed two different methods for load forecasting in order to achieve two main purposes including peak shaving and smoothing. For reaching these goals, two approaches are analyzed. The first approach is utilizing a nonlinear programming method in terms of load shifting and smoothing. The second approach includes a real time control strategy to have smoothing and peak shaving at the same time. As a real case study, these proposed methods have been applied within 108-day data collection period and pros and cons of these methods will be discussed. (c) 2015 Elsevier Ltd. All rights reserved.
机译:可再生能源的高渗透率对电力系统的运行提出了重大挑战。解决此问题的潜在方法是利用电池能量存储系统(BESS)。本文的目的是分析BESS能够有效削峰并平滑夏威夷毛伊岛上实际电路的负载曲线的有效性。配电电路具有约850 kW的已安装屋顶光伏(PV)发电量。 PV的较高渗透率增加了对传输系统潜在影响的担忧。首先,我们将介绍两种不同的负荷预测方法。为了有效利用BESS系统,需要可靠地预测每日负荷。为了达到两个主要目的,包括调峰和平滑,我们采用了两种不同的负荷预测方法。为了实现这些目标,分析了两种方法。第一种方法是在负载转移和平滑方面利用非线性编程方法。第二种方法包括实时控制策略,可同时进行平滑和削峰。作为一个实际案例研究,这些建议的方法已在108天的数据收集期内得到应用,并将讨论这些方法的优缺点。 (c)2015 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Renewable energy》 |2016年第2期|1372-1379|共8页
  • 作者单位

    Univ Hawaii Manoa, Dept Mech Engn, Renewable Energy Design Lab REDLab, Honolulu, HI 96822 USA;

    Univ Hawaii Manoa, Dept Mech Engn, Renewable Energy Design Lab REDLab, Honolulu, HI 96822 USA;

    Univ Hawaii Manoa, Dept Mech Engn, Renewable Energy Design Lab REDLab, Honolulu, HI 96822 USA;

    Univ Mhamed Bougara, Fac Sci, Dept Phys, Lab Comp Sci Modeling Optimizat & Elect Syst LIMO, Bougara, Algeria;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Peak shaving; Load smoothing; Short term load forecasting;

    机译:调峰;负载平滑;短期负载预测;

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