Grey wolf optimisation algorithm for solving distribution network reconfiguration considering distributed generators simultaneously

IF 2 Q4 ENERGY & FUELS

International Journal of Sustainable Energy Pub Date : 2022-10-24 DOI:10.1080/14786451.2022.2134383

Harish Kumar Pujari, Mageshvaran Rudramoorthy

引用次数: 3

Abstract

ABSTRACT This article represents an application of the grey wolf optimisation (GWO) algorithm to solve the most optimistic combinatorial problems for optimal distribution network reconfiguration (DNR) and allocation of distributed generators (DGs) in a system. In this work, a metaheuristics algorithm is utilised to minimise the active power losses (APL) and enhance the voltage profile. Various scenarios were considered in this context to compare the performance of the proposed algorithm under voltage and current capacity constraints. Furthermore, a detailed validation via comparison of the results is being carried out with other methods from the exhaustive literature. The proposed algorithm reduces the APL by 63.13%, 56.19%, and 34.27% with DNR in IEEE 33, 69 and 118-bus systems. Similarly, APL reduction by 69.61%, 82.09%, and 36.08% with DNR considering DGs simultaneously. The results show that the proposed algorithm is an effective and promising method to solve problems similar to this work.

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同时考虑分布式发电机的配电网重构的灰狼优化算法

摘要本文介绍了应用灰狼优化（GWO）算法来解决系统中最优配电网重构（DNR）和分布式发电机分配（DG）的最乐观组合问题。在这项工作中，利用元启发式算法来最小化有功功率损耗（APL）并增强电压分布。在此背景下考虑了各种场景，以比较所提出的算法在电压和电流容量约束下的性能。此外，正在通过将结果与详尽文献中的其他方法进行比较进行详细验证。在IEEE 33、69和118总线系统中，该算法将DNR的APL分别降低了63.13%、56.19%和34.27%。同样，在DNR同时考虑DG的情况下，APL降低了69.61%、82.09%和36.08%。结果表明，所提出的算法是一种有效且有前途的方法来解决类似于这项工作的问题。

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

International Journal of Sustainable Energy ENERGY & FUELS-

CiteScore

5.70

自引率

3.20%

发文量

期刊介绍： Engineering and sustainable development are intrinsically linked. All capital plant and every consumable product depends on an engineering input through design, manufacture and operation, if not for the product itself then for the equipment required to process and transport the raw materials and the final product. Many aspects of sustainable development depend directly on appropriate and timely actions by engineers. Engineering is an extended process of analysis, synthesis, evaluation and execution and, therefore, it is argued that engineers must be involved from the outset of any proposal to develop sustainable solutions. Engineering embraces many disciplines and truly sustainable solutions are usually inter-disciplinary in nature.