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A multi-objective optimization of the active and reactive resource scheduling at a distribution level in a smart grid context

机译：智能电网环境下分布级别的有功和无功资源调度的多目标优化

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In the traditional paradigm, the large power plants supply the reactive power required at a transmission level and the capacitors and transformer tap changer were also used at a distribution level. However, in a near future will be necessary to schedule both active and reactive power at a distribution level, due to the high number of resources connected in distribution levels. This paper proposes a new multi-objective methodology to deal with the optimal resource scheduling considering the distributed generation, electric vehicles and capacitor banks for the joint active and reactive power scheduling. The proposed methodology considers the minimization of the cost (economic perspective) of all distributed resources, and the minimization of the voltage magnitude difference (technical perspective) in all buses. The Pareto front is determined and a fuzzy-based mechanism is applied to present the best compromise solution. The proposed methodology has been tested in the 33-bus distribution network. The case study shows the results of three different scenarios for the economic, technical, and multi-objective perspectives, and the results demonstrated the importance of incorporating the reactive scheduling in the distribution network using the multi-objective perspective to obtain the best compromise solution for the economic and technical perspectives. (C) 2015 Elsevier Ltd. All rights reserved.
机译：在传统范式中，大型发电厂在传输级别提供所需的无功功率，电容器和变压器分接开关也在分布级别使用。但是，由于分配级别上连接的资源数量很大，因此在不久的将来有必要在分配级别上安排有功和无功功率。本文提出了一种新的多目标方法，该方法考虑了分布式发电，电动汽车和电容器组的联合有功和无功功率调度的最优资源调度。所提出的方法考虑了所有分布式资源的成本（经济角度）的最小化，以及所有母线的电压幅值差异（技术角度）的最小化。确定帕累托前沿，并应用基于模糊的机制来提出最佳折衷解决方案。所提出的方法已在33总线配电网络中进行了测试。案例研究显示了针对经济，技术和多目标视角的三种不同方案的结果，结果表明了使用多目标视角将无功调度纳入配电网中以获取最佳妥协解决方案的重要性。经济和技术观点。 （C）2015 Elsevier Ltd.保留所有权利。

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