微电网控制策略的经济学研究

2018 4th International Conference on Renewable Energies for Developing Countries (REDEC) Pub Date : 2018-11-01 DOI:10.1109/REDEC.2018.8598121

K. Hajar, A. Hably, S. Bacha, A. Elrafhi

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引用次数: 1

摘要

将集中模型预测控制算法(MPCA)和最优集中控制算法(OCCA)应用于主电网与一组互联微电网的连接。在这两种算法中，最大限度地提高构成网格的所有单元的利润是主要目标，进一步发挥了原则网格的优势。为了使MPCA在本研究中得到应用，需要有生产功率、能源价格和负荷的预测信息。本文利用MATLAB实现的算法对与主网格相关的5个相互连接的栅格进行了测试。所提出的算法的性能已被证明，特别是对于MG所有者的利益，同时尊重与每个考虑的其中一个相关的约束。在此基础上，对各MG的OCCA和MPCA的技术经济效果进行了比较。

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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An economic study of control strategies for microgrids

A centralized model predictive control algorithm (MPCA) and an optimal centralized control algorithm (OCCA) are applied on main grid connected with a group of interconnected microgrids (MGs). Maximizing the profit for all of the units constituting the MGs is the primary objective in both algorithms, further the advantages of the principle grid. A forcasting information about production power, energy price and loads is needed for the application of MPCA in our study. five interconnected MGs related to the principle grid are tested in this paper using the algorithm implemented in MATLAB. The performance of the proposed algorithms has been shown especially for the benefits of MG owners at the same time as respecting the constraints associated to every considered one of them. Then the results of OCCA and MPCA are compared technically and economically for each MG.

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来源期刊

2018 4th International Conference on Renewable Energies for Developing Countries (REDEC)

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