Paper Info
Title
Solving multi-area environmental/economic dispatch by Pareto-based chemical-reaction optimization algorithm
Abstract
In this study, we present a Pareto-based chemical-reaction optimization (PCRO) algorithm for solving the multiarea environmental/economic dispatch optimization problems. Two objectives are minimized simultaneously, i.e., total fuel cost and emission. In the proposed algorithm, each solution is represented by a chemical molecule. A novel encoding mechanism for solving the multi-area environmental/economic dispatch optimization problems is designed to dynamically enhance the performance of the proposed algorithm. Then, an ensemble of effective neighborhood approaches is developed, and a self-adaptive neighborhood structure selection mechanism is also embedded in PCRO to increase the search ability while maintaining population diversity. In addition, a grid-based crowding distance strategy is introduced, which can obviously enable the algorithm to easily converge near the Pareto front. Furthermore, a kinetic-energy-based search procedure is developed to enhance the global search ability. Finally, the proposed algorithm is tested on sets of the instances that are generated based on realistic production. Through the analysis of experimental results, the highly effective performance of the proposed PCRO algorithm is favorably compared with several algorithms, with regards to both solution quality and diversity.
Year
DOI
Venue
2019
10.1109/JAS.2017.7510454
IEEE-CAA JOURNAL OF AUTOMATICA SINICA
Keywords
DocType
Volume
Chemical-reaction optimization algorithm,grid-based crowding distance,multi-area environmental/economic dispatch (MAEED) problem,multi-objective optimization
Journal
6
Issue
ISSN
Citations 
5
2329-9266
2
PageRank 
References 
Authors
0.40
0
5
Name
Order
Citations
PageRank
Junqing Li146242.69
Quan-Ke Pan22169.45
Peiyong Duan381.20
Hong-yan Sang416511.18
Kaizhou Gao534530.78