基于量子“捕食者-猎物”头脑风暴优化的单元承诺新方法的发展

IF 0.4 4区工程技术 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC

Electrical Engineering in Japan Pub Date : 2025-05-08 DOI:10.1002/eej.23509

Yusuke Kawauchi, Hiroyuki Mori, Hsiao-Dong Chiang

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引用次数: 0

摘要

提出了一种基于量子捕食者-猎物头脑风暴优化（QPPBSO）的单位承诺（UC）新方法。UC问题可以表示为一个混合整数非线性规划问题，其中二元变量表示单元的开/关条件，连续变量表示单元的输出。近年来，由于存在不可微的成本函数，进化计算（EC）被应用于大型汽轮机组等UC问题。然而，由于UC问题具有高度的非线性特征，因此在EC方面仍有改进的空间。本文重点研究了电子商务与量子计算（QC）的集成在电力系统中的应用前景。具体来说，本文将QC与高性能EC的“捕食者-猎物”头脑风暴优化（PPBSO）相结合。在新英格兰39节点系统中验证了该方法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Development of a New Unit Commitment Method With Quantum Predator Prey Brain Storm Optimization

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.

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来源期刊

Electrical Engineering in Japan 工程技术-工程：电子与电气

CiteScore

0.80

自引率

0.00%

发文量

审稿时长

4-8 weeks

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.