Energy demand and quality management of standalone diesel/PV/battery microgrid using reconfiguration,International Transactions on Electrical Energy Systems

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Energy demand and quality management of standalone diesel/PV/battery microgrid using reconfiguration
International Transactions on Electrical Energy Systems ( IF 1.9 ) Pub Date : 2020-08-09 , DOI: 10.1002/2050-7038.12550
Khalil Gholami ₁ , Saeed Jazebi ₂

Affiliation

Power quality has become one of the most vital challenges in the planning of smart distribution grids due to popularity and myriad applications of power electronic devices. This paper introduces a new method based on network reconfiguration to efficiently deliver the energy demand of standalone Diesel/PV/Battery microgrids with improved power quality. The feeder reconfiguration is performed to decrease power loss, decrease the total harmonic distortion (THD), and improve voltage sag indices. Mathematical models of Diesel/PV/Battery standalone system are integrated with harmonic power flow algorithms to implement the concept. Reconfiguration algebraic equations along with nonlinearities introduced by Diesel/PV/Battery standalone system are solved by means of Non‐Dominated Sorting Differential Evolution Algorithm (NDSDEA). The proposed methodology is carried out on a 33‐bus standalone microgrid. The results have shown that reconfiguration not only improves the overall performance of the standalone energy system but also is effective to improve the quality of power delivered to the significant consumers. The method has both economic and technical benefits for such islanded networks.

中文翻译：

使用重新配置的独立柴油/光伏/电池微电网的能源需求和质量管理

由于电力电子设备的普及和无数应用，电能质量已成为智能配电网规划中最关键的挑战之一。本文介绍了一种基于网络重构的新方法，可以有效地提供独立的柴油/光伏/电池微电网的能源需求，并提高电能质量。进行馈线重新配置以减少功率损耗，减少总谐波失真（THD）并改善电压骤降指数。Diesel / PV / Battery独立系统的数学模型与谐波潮流算法集成在一起以实现这一概念。Diesel / PV / Battery独立系统引入的重配置代数方程式和非线性度通过非支配排序差分演化算法（NDSDEA）求解。建议的方法是在33总线的独立微电网上进行的。结果表明，重新配置不仅可以改善独立能源系统的整体性能，而且可以有效地改善输送给重要用户的电能质量。该方法对于这样的孤岛网络具有经济和技术利益。

更新日期：2020-10-11

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