A cost-effective solution to security constrained dispatch problem of Islanded microgrid using chaotic spotted Hyena optimization

IF 2.4 Q2 MULTIDISCIPLINARY SCIENCES
Tanuj Mishra, A. Singh, Vikram Kumar Kamboj
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引用次数: 2

Abstract

ABSTRACT Power system network is growing day by day as per the increased demand due to technological development around the globe. The increased power demand needs optimized planning for all the sections of power system. Economic dispatch is one of the important areas in which new optimization techniques can add to the overall improvement in the power system planning. Recent technological improvement in microgrids results in economic and efficient operation considering both conventional and non-conventional methods of generation. This paper highlights the optimal scheduling requirement in the advanced power system control by introducing a new proposed metaheuristic hybrid approach, i.e., Chaotic Spotted Hyena Optimization (CSHO). The proposed approach improves and intensifies the conventional approach and the results obtained are compared with some well-known published approaches using standard data. The CSHO is implemented on an islanded microgrid having five distributed generators out of which three are conventional generators and two are renewable sources. Three objectives are tested on the microgrid-(1) Economic scheduling, (2) Environmental emission and (3) CEED for Microgrid and the results of proposed approach are tested in four scenarios and compared with the PSO, DE, SOS, GWO and WOA approaches. The result achieved from the proposed approach is remarkable over previous approaches and showing enhanced economic operation, which are verified and presented in different sections of paper.
基于混沌斑点Hyena优化的孤岛微电网安全约束调度问题的经济高效解决方案
摘要随着全球技术的发展,电力系统网络的需求日益增长。增加的电力需求需要对电力系统的所有部分进行优化规划。经济调度是新的优化技术可以为电力系统规划的整体改进提供帮助的重要领域之一。考虑到传统和非传统发电方法,微电网最近的技术进步带来了经济高效的运行。本文通过引入一种新的元启发式混合方法,即混沌斑点Hyena优化(CSHO),强调了先进电力系统控制中的最优调度要求。所提出的方法改进和强化了传统方法,并将所获得的结果与一些著名的使用标准数据的已发表方法进行了比较。CSHO在具有五台分布式发电机的孤岛微电网上实施,其中三台为常规发电机,两台为可再生能源。在微电网上测试了三个目标——(1)经济调度,(2)环境排放和(3)微电网的CEED,并在四个场景中测试了所提出方法的结果,并与PSO、DE、SOS、GWO和WOA方法进行了比较。与以前的方法相比,所提出的方法取得的结果是显著的,并显示出增强的经济运行,这在论文的不同部分得到了验证和介绍。
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
Smart Science
Smart Science Engineering-Engineering (all)
CiteScore
4.70
自引率
4.30%
发文量
21
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
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