Novel Adaptive Sine Cosine Arithmetic Optimization Algorithm For Optimal Automation Control of DG Units and STATCOM Devices

IF 2.4 Q2 MULTIDISCIPLINARY SCIENCES

Smart Science Pub Date : 2022-04-19 DOI:10.1080/23080477.2022.2065593

B. Mahdad

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引用次数: 6

Abstract

ABSTRACT In this paper a practical power system planning and control strategy based on a new adaptive sine cosine arithmetic optimization algorithm (ASC_AOA) is proposed to enhance the technical performances of radial distribution (RD) systems. The main objective considered in this study is to optimize the location and the size of shunt compensators based STATCOM devices and multi distributed generation to reduce the total power losses, and to maximize the loading margin stability of practical RD systems. As well confirmed in many recent researches, the success of metaheuristic algorithms is related to the interactivity between intensification and diversification stages. In this study, an adaptive process based on sine and cosine functions is incorporated within the standard AOA to guide the search process toward the best solution. The particularity of the proposed variant (ASC_AOA) has been validated on many benchmark functions, and also applied for optimal automation control of multi DGs and shunt compensators based STATCOM Controllers to enhance the performances of various types of RD systems, such as the 33-bus, the 69-bus, and 85-bus. Obtained results are compared to many recent optimization methods. It is confirmed that the proposed variant achieves the best solution in all of the cases studies elaborated. The proposed variant seems to be a competitive technique and an alternative tool for solving various combinatorial planning and control problems of modern RD systems. Graphical abstract

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DG机组和STATCOM装置优化自动化控制的一种新的自适应正弦余弦算法

摘要为了提高径向配电系统的技术性能，本文提出了一种基于新的自适应正余弦算术优化算法（ASC_AOA）的实用电力系统规划和控制策略。本研究考虑的主要目标是优化基于并联补偿器的STATCOM设备和多分布式发电的位置和尺寸，以减少总功率损耗，并最大限度地提高实际RD系统的负载裕度稳定性。正如最近的许多研究所证实的那样，元启发式算法的成功与强化和多样化阶段之间的互动有关。在这项研究中，基于正弦和余弦函数的自适应过程被纳入标准AOA中，以引导搜索过程获得最佳解决方案。所提出的变体（ASC_AOA）的特殊性已在许多基准函数上得到验证，并应用于基于STATCOM控制器的多DG和并联补偿器的优化自动化控制，以提高各种类型的RD系统的性能，如33总线、69总线和85总线。将获得的结果与许多最近的优化方法进行比较。经证实，所提出的变体在所阐述的所有案例研究中都达到了最佳解决方案。所提出的变体似乎是一种有竞争力的技术，也是解决现代RD系统各种组合规划和控制问题的替代工具。图形摘要

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来源期刊

Smart Science Engineering-Engineering (all)

CiteScore

4.70

自引率

4.30%

发文量

期刊介绍： Smart Science (ISSN 2308-0477) is an international, peer-reviewed journal that publishes significant original scientific researches, and reviews and analyses of current research and science policy. We welcome submissions of high quality papers from all fields of science and from any source. Articles of an interdisciplinary nature are particularly welcomed. Smart Science aims to be among the top multidisciplinary journals covering a broad spectrum of smart topics in the fields of materials science, chemistry, physics, engineering, medicine, and biology. Smart Science is currently focusing on the topics of Smart Manufacturing (CPS, IoT and AI) for Industry 4.0, Smart Energy and Smart Chemistry and Materials. Other specific research areas covered by the journal include, but are not limited to: 1. Smart Science in the Future 2. Smart Manufacturing: -Cyber-Physical System (CPS) -Internet of Things (IoT) and Internet of Brain (IoB) -Artificial Intelligence -Smart Computing -Smart Design/Machine -Smart Sensing -Smart Information and Networks 3. Smart Energy and Thermal/Fluidic Science 4. Smart Chemistry and Materials