Optimal size and location of dispatchable distributed generators in an autonomous microgrid using Honey Badger algorithm

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2023-12-07 DOI:10.24425/aee.2023.147416

T. H. X. N. G. o, R. O. L. I. o

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引用次数: 0

Abstract

: Thepaperpresentsahoneybadgeralgorithm(HB)basedonamodiﬁedbackward-forward sweep power ﬂow method to determine the optimal placement of droop-controlled dispatchable distributed generations (DDG) corresponding to their sizes in an autonomous microgrid (AMG). The objectives are to minimise active power loss while considering the reduction of reactive power loss and total bus voltage deviation, and the maximisation of the voltage stability index. The proposed HB algorithm has been tested on a modiﬁed IEEE 33-bus AMG under four scenarios of the load proﬁle at 40%, 60%, 80%, and 100% of the rated load. The analysis of the results indicates that Scenario 4, where the HB algorithm is used to optimise droop gains, the positioning of DDGs, and their reference voltage magnitudes within a permissible range, is more eﬀective in mitigating transmission line losses than the other scenarios. Speciﬁcally, the active and reactive power losses in Scenario 4 with the HB algorithm are only 0.184% and 0.271% of the total investigated load demands, respectively. Compared to the base scenario (rated load), Scenario 4 using the HB algorithmalsoreducesactiveandreactivepowerlossesby41.86%and31.54%,respectively. Furthermore, the proposed HB algorithm outperforms the diﬀerential evolution algorithm when comparing power losses for scenarios at the total investigated load and the rated load. The results obtained demonstrate that the proposed algorithm is eﬀective in reducing power losses for the problem of optimal placement and size of DDGs in the AMG

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使用 Honey Badger 算法优化自主微电网中可调度分布式发电机的规模和位置

本文提出了一种基于honeybadgeralgorithm(HB)的改进后向前扫潮流方法，以确定自主微电网(AMG)中下垂控制可调度分布式代(DDG)的最佳布局。目标是尽量减少有功功率损耗，同时考虑减少无功功率损耗和总母线电压偏差，以及电压稳定指数的最大化。提出的HB算法已经在改进的IEEE 33总线AMG上进行了测试，分别在40%、60%、80%和100%额定负载的四种负载情况下进行了测试。结果分析表明，在场景4中，使用HB算法优化垂增益、ddg的定位及其在允许范围内的参考电压幅值，比其他场景更有效地减轻了传输线损耗。具体而言，采用HB算法的场景4的有功和无功损耗分别仅为所研究负载总需求的0.184%和0.271%。与基本场景(额定负载)相比，使用HB算法的场景4分别减少了41.86%和31.54%的主动和主动功率损耗。此外，在比较总调查负载和额定负载情况下的功率损耗时，所提出的HB算法优于差分进化算法。实验结果表明，该算法能够有效地解决ddg在AMG中的最优位置和最优尺寸问题

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.