使用新型混合 WOA-SOMA 按小时对热电机组进行调度

Q4 Engineering

ARPN Journal of Engineering and Applied Sciences Pub Date : 2024-02-29 DOI:10.59018/1223325

{"title":"使用新型混合 WOA-SOMA 按小时对热电机组进行调度","authors":"","doi":"10.59018/1223325","DOIUrl":null,"url":null,"abstract":"The effective utilization of available sources in equating the load demand on an hourly basis can be implemented\nusing unit commitment. This paper presents the novel hybrid method which is the amalgamation of a whale optimization\nalgorithm (WOA) and a self-organizing migrating algorithm (SOMA) for obtaining the optimal value of an optimization\nproblem related to unit commitment. The WOA method is applied for assessing optimal strength population from the\nstochastically generated populations which is essential in a migrating loop. SOMA works on the strategy of ALL to ALL.\nTwo test systems are considered to evaluate the potential of the proposed hybrid method. Initially, a four-unit system is\nconducted followed by IEEE 39 bus system. The obtained simulation outcome is made comparison with the literature\nmethods to address the effectiveness of the proposed hybrid WAO-SOMA.","PeriodicalId":38652,"journal":{"name":"ARPN Journal of Engineering and Applied Sciences","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Scheduling of thermal unit on hourly basis using novel hybrid WOA-SOMA\",\"authors\":\"\",\"doi\":\"10.59018/1223325\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The effective utilization of available sources in equating the load demand on an hourly basis can be implemented\\nusing unit commitment. This paper presents the novel hybrid method which is the amalgamation of a whale optimization\\nalgorithm (WOA) and a self-organizing migrating algorithm (SOMA) for obtaining the optimal value of an optimization\\nproblem related to unit commitment. The WOA method is applied for assessing optimal strength population from the\\nstochastically generated populations which is essential in a migrating loop. SOMA works on the strategy of ALL to ALL.\\nTwo test systems are considered to evaluate the potential of the proposed hybrid method. Initially, a four-unit system is\\nconducted followed by IEEE 39 bus system. The obtained simulation outcome is made comparison with the literature\\nmethods to address the effectiveness of the proposed hybrid WAO-SOMA.\",\"PeriodicalId\":38652,\"journal\":{\"name\":\"ARPN Journal of Engineering and Applied Sciences\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-02-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ARPN Journal of Engineering and Applied Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.59018/1223325\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ARPN Journal of Engineering and Applied Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.59018/1223325","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Engineering","Score":null,"Total":0}

引用次数: 0

摘要

有效利用可用资源来平衡每小时的负荷需求可以通过单位承诺来实现。本文提出了一种新颖的混合方法，它是鲸鱼优化算法（WOA）和自组织迁移算法（SOMA）的混合体，用于获得与单位承诺相关的优化问题的最优值。WOA 方法用于从随机产生的种群中评估最佳强度种群，这在迁移循环中至关重要。为了评估所提出的混合方法的潜力，我们考虑了两个测试系统。首先是四单元系统，然后是 IEEE 39 总线系统。所获得的仿真结果与文献方法进行了比较，以评估所提出的 WAO-SOMA 混合方法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Scheduling of thermal unit on hourly basis using novel hybrid WOA-SOMA

The effective utilization of available sources in equating the load demand on an hourly basis can be implemented using unit commitment. This paper presents the novel hybrid method which is the amalgamation of a whale optimization algorithm (WOA) and a self-organizing migrating algorithm (SOMA) for obtaining the optimal value of an optimization problem related to unit commitment. The WOA method is applied for assessing optimal strength population from the stochastically generated populations which is essential in a migrating loop. SOMA works on the strategy of ALL to ALL. Two test systems are considered to evaluate the potential of the proposed hybrid method. Initially, a four-unit system is conducted followed by IEEE 39 bus system. The obtained simulation outcome is made comparison with the literature methods to address the effectiveness of the proposed hybrid WAO-SOMA.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

ARPN Journal of Engineering and Applied Sciences Engineering-Engineering (all)

CiteScore

0.70

自引率

0.00%

发文量

期刊介绍： ARPN Journal of Engineering and Applied Sciences (ISSN 1819-6608) is an online peer-reviewed International research journal aiming at promoting and publishing original high quality research in all disciplines of engineering sciences and technology. All research articles submitted to ARPN-JEAS should be original in nature, never previously published in any journal or presented in a conference or undergoing such process across the globe. All the submissions will be peer-reviewed by the panel of experts associated with particular field. Submitted papers should meet the internationally accepted criteria and manuscripts should follow the style of the journal for the purpose of both reviewing and editing. Our mission is -In cooperation with our business partners, lower the world-wide cost of research publishing operations. -Provide an infrastructure that enriches the capacity for research facilitation and communication, among researchers, college and university teachers, students and other related stakeholders. -Reshape the means for dissemination and management of information and knowledge in ways that enhance opportunities for research and learning and improve access to scholarly resources. -Expand access to research publishing to the public. -Ensure high-quality, effective and efficient production and support good research and development activities that meet or exceed the expectations of research community. Scope of Journal of Engineering and Applied Sciences: -Engineering Mechanics -Construction Materials -Surveying -Fluid Mechanics & Hydraulics -Modeling & Simulations -Thermodynamics -Manufacturing Technologies -Refrigeration & Air-conditioning -Metallurgy -Automatic Control Systems -Electronic Communication Systems -Agricultural Machinery & Equipment -Mining & Minerals -Mechatronics -Applied Sciences -Public Health Engineering -Chemical Engineering -Hydrology -Tube Wells & Pumps -Structures