{"title":"Development of a New Unit Commitment Method With Quantum Predator Prey Brain Storm Optimization","authors":"Yusuke Kawauchi, Hiroyuki Mori, Hsiao-Dong Chiang","doi":"10.1002/eej.23509","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>This paper proposes a new method for unit commitment (UC) with Quantum Predator Prey Brain Storm Optimization (QPPBSO). The UC problems may be expressed as a mixed integer nonlinear programming problem in which binary variables mean on/off conditions of units and continuous ones imply their output. Recently, Evolutionary Computation (EC) has been applied to the UC problems due to the existence of indifferentiable cost functions such as large-scale steam turbine units, etc. However, there is still room for improvement in EC because the UC problems have high nonlinear features. This paper focuses on the integration of EC with Quantum Computing (QC) that is promising in power systems. Specifically, this paper combines QC with Predator Prey Brain Storm Optimization (PPBSO) of high-performance EC. The effectiveness of the proposed method is demonstrated in the New England 39-node system.</p>\n </div>","PeriodicalId":50550,"journal":{"name":"Electrical Engineering in Japan","volume":"218 2","pages":""},"PeriodicalIF":0.4000,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Electrical Engineering in Japan","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/eej.23509","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
This paper proposes a new method for unit commitment (UC) with Quantum Predator Prey Brain Storm Optimization (QPPBSO). The UC problems may be expressed as a mixed integer nonlinear programming problem in which binary variables mean on/off conditions of units and continuous ones imply their output. Recently, Evolutionary Computation (EC) has been applied to the UC problems due to the existence of indifferentiable cost functions such as large-scale steam turbine units, etc. However, there is still room for improvement in EC because the UC problems have high nonlinear features. This paper focuses on the integration of EC with Quantum Computing (QC) that is promising in power systems. Specifically, this paper combines QC with Predator Prey Brain Storm Optimization (PPBSO) of high-performance EC. The effectiveness of the proposed method is demonstrated in the New England 39-node system.
期刊介绍：
Electrical Engineering in Japan (EEJ) is an official journal of the Institute of Electrical Engineers of Japan (IEEJ). This authoritative journal is a translation of the Transactions of the Institute of Electrical Engineers of Japan. It publishes 16 issues a year on original research findings in Electrical Engineering with special focus on the science, technology and applications of electric power, such as power generation, transmission and conversion, electric railways (including magnetic levitation devices), motors, switching, power economics.
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