针对综合经济与排放调度问题的修正对立粒子群优化法

IF 1.7 4区工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

Electric Power Components and Systems Pub Date : 2024-04-18 DOI:10.1080/15325008.2024.2342010

Swathy Muraleedharan, Chembathu Ayyappan Babu, Ajith Kumar Sasidharanpillai

引用次数: 0

摘要

本文对粒子群优化（PSO）方法进行了改进，提出了一种基于对立的学习策略，用于寻找电力调度问题的最优解。目标...

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

Modified Opposition-Based Particle Swarm Optimization for Combined Economic and Emission Dispatch Problem

Modification of the particle swarm optimization (PSO) method is proposed with an opposition-based learning strategy to find the optimal solution to electrical power dispatch problems. The objective...

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

Electric Power Components and Systems 工程技术-工程：电子与电气

CiteScore

2.70

自引率

6.70%

发文量

审稿时长

7.2 months

期刊介绍： Electric Power Components and Systems publishes original theoretical and applied papers of permanent reference value related to the broad field of electric machines and drives, power electronics converters, electromechanical devices, electrical equipment, renewable and sustainable electric energy applications, and power systems. Specific topics covered include: -Electric machines- Solid-state control of electric machine drives- Power electronics converters- Electromagnetic fields in energy converters- Renewable energy generators and systems- Power system planning- Transmission and distribution- Power system protection- Dispatching and scheduling- Stability, reliability, and security- Renewable energy integration- Smart-grid and micro-grid technologies.