.png){kind=icon}
返回
Dynamic economic load dispatch using hybrid swarm intelligence based harmony search algorithm
.png){kind=icon}
PRE
AI
DOI：10.1016/j.eswa.2011.01.050.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper presents the hybrid harmony search algorithm with swarm intelligence (HHS) to solve the dynamic economic load dispatch problem. Harmony Search (HS) is a recently developed derivative-free, meta-heuristic optimization algorithm, which draws inspiration from the musical process of searching for a perfect state of harmony. This work is an attempt to hybridize the HS algorithm with the powerful population based algorithm PSO for a better convergence of the proposed algorithm. The main aim of dynamic economic load dispatch problem is to find out the optimal generation schedule of the generators corresponding to the most economical operating point of the system over the considered timing horizon. The proposed algorithm also takes care of different constraints like power balance, ramp rate limits and generation limits by using penalty function method. Simulations were performed over various standard test systems with 5 units, 10 units and 30 units and a comparative study is carried out with other recently reported results. The findings affirmed the robustness and proficiency of the proposed methodology over other existing techniques. (C) 2011 Elsevier Ltd. All rights reserved.
Keyword:
Harmony search
Particle swarm optimization
Dynamic load dispatch
Transmission losses
Ramp rate limit
Valve point loading
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
7.5
论文数:
2.9W
被引数:
10.2W
机构
引用论文
Kinematic and kinetic differences in the execution of vertical jumps between people with good and poor ankle joint dorsiflexion踝关节背屈良好和不良的人在执行垂直跳跃时的运动学和动力学差异
.png){kind=icon}
PREAI
分享收藏Development of Knowledge of Unity of Tuberculosis and of the Portals of Entry of Tubercle Bacilli
PREAI
分享收藏Particle swarm optimization to solving the economic dispatch considering the generator constraints
OAAI
OAAI分享收藏分享收藏分享收藏
查看更多内容