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Combined heat and power economic dispatch using integrated civilized swarm optimization and Powell’s pattern search method
- Source :
- Applied Soft Computing. 52:190-202
- Publication Year :
- 2017
- Publisher :
- Elsevier BV, 2017.
-
Abstract
- PSEUDO code of proposed technique.Display Omitted An optimization technique that embeds CSO and Powells search (PS) method is proposed.The proposed technique is applied to solve combined heat and power dispatch problem.CSO is having attributes of PSO and society civilization algorithm.Initially, search is performed by CSO and then PS is applied to improve the solution.The test systems having valve point loading effect and POZs constraint. An integrated technique that embeds civilized swarm optimization (CSO) and Powells pattern search (PPS) method is proposed to search economic dispatch of combined heat and power (CHP) dispatch problem. In the proposed technique, CSO is selected as global search technique and PPS is undertaken as a local search technique. Civilized swarm optimization is having attributes of particle swarm optimization (PSO) and society civilization algorithm (SCA). In CSO, mutually interacting societies forms the civilization. The positions of society particles are updated through the guidance of own leader along with their best positions. The best performing particle of CSO is further improved by PPS method based on a certain set criterion. The PPS method is based on the conjugate search direction method and does not require the gradient or Hessian matrix of the function to be optimized. The CHP dispatch problem has a mutual dependency of demand and heat-power capacity of generating units, so it requires an effective constraint handling strategy. In this work, variable reduction strategy with exterior penalty method is applied to satisfy equality constraints. The proposed technique is tested on five CHP test systems considering valve-point loading effect, prohibited operating zones constraint, and transmission losses. The obtained results are compared to the results reported in the literature and found satisfactory. Further, for verification of statistical performance of the proposed technique, t-test and Wilcoxon signed rank test is also performed.
- Subjects :
- Hessian matrix
Mathematical optimization
Computer science
business.industry
020209 energy
Economic dispatch
Particle swarm optimization
Swarm behaviour
02 engineering and technology
Pattern search
symbols.namesake
0202 electrical engineering, electronic engineering, information engineering
symbols
020201 artificial intelligence & image processing
Penalty method
Local search (optimization)
business
Software
Subjects
Details
- ISSN :
- 15684946
- Volume :
- 52
- Database :
- OpenAIRE
- Journal :
- Applied Soft Computing
- Accession number :
- edsair.doi...........b25df40f0be40a3c8b8efefaf2a59f6e
- Full Text :
- https://doi.org/10.1016/j.asoc.2016.12.046