Economic Dispatch for on-line operation of grid-connected microgrids

IF 1.2 4区 工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY
A. Cagnano, E. D. Tuglie, Francesco Marcone, Giuseppe Porro, D. Rasolomampionona
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引用次数: 2

Abstract

In this paper, a control strategy for real-time operation of a master-slave controlled microgrid is developed. The basic idea of this control strategy is to schedule all dispatchable energy sources available into a microgrid to minimize its operational costs. Control actions are centrally evaluated by solving a two-stage optimization problem formulated to take place on two different time-scales: in the day-ahead and in the real-time. The first one provides a 24-hour plan in advance. It mainly draws up the active power levels that Distributed Energy Resources (DERs) should provide for each quarter hour of the next day by taking into account energy prices of the day-ahead energy market, the forecasted energy production of non-dispatchable renewables and loads. The real-time optimization problem updates the active power set-points of DERs in order to minimize as much as possible the real-time deviations between the actual power exchanged with the utility grid and its scheduled value. The effectiveness of the proposed methodology has been experimentally tested on an actual microgrid.
并网微电网在线运行的经济调度
本文提出了一种主从控制微电网实时运行的控制策略。该控制策略的基本思想是将所有可用的可调度能源调度到微电网中,以使其运行成本最小化。通过解决两个阶段的优化问题来集中评估控制行动,该优化问题的制定发生在两个不同的时间尺度上:提前一天和实时。第一个提供提前24小时的计划。主要考虑前一天能源市场的能源价格、不可调度可再生能源的预测发电量和负荷,确定分布式能源次日每一刻钟应提供的有功功率水平。实时优化问题是为了使与电网交换的实际功率与其计划值之间的实时偏差尽可能小,而更新分布式电源的有功功率设定点。该方法的有效性已在实际微电网上进行了实验验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.80
自引率
16.70%
发文量
0
审稿时长
6-12 weeks
期刊介绍: The Bulletin of the Polish Academy of Sciences: Technical Sciences is published bimonthly by the Division IV Engineering Sciences of the Polish Academy of Sciences, since the beginning of the existence of the PAS in 1952. The journal is peer‐reviewed and is published both in printed and electronic form. It is established for the publication of original high quality papers from multidisciplinary Engineering sciences with the following topics preferred: Artificial and Computational Intelligence, Biomedical Engineering and Biotechnology, Civil Engineering, Control, Informatics and Robotics, Electronics, Telecommunication and Optoelectronics, Mechanical and Aeronautical Engineering, Thermodynamics, Material Science and Nanotechnology, Power Systems and Power Electronics.
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