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An intelligent θ-Modified Bat Algorithm to solve the non-convex economic dispatch problem considering practical constraints
- Source :
- International Journal of Electrical Power & Energy Systems. 82:189-196
- Publication Year :
- 2016
- Publisher :
- Elsevier BV, 2016.
-
Abstract
- This paper proposes a practical formulation for the non-convex economic dispatch problem to consider multi-fuel options, ramp rate limits, valve loading effect, prohibited operating zones and spinning reserve. A new optimization algorithm based on the θ-bat algorithm (θ-BA) is suggested to solve the problem. The θ-BA converts the Cartesian search space into the polar coordinates such that more search ability would be achieved. According to the complex, nonlinear, and constrained nature of the problem, a new self-adaptive modification method is proposed. The proposed modified θ-BA (θ-MBA) is constructed based on the roulette wheel mechanism to effectively increase the convergence of the algorithm. The high ability and satisfying performance of the proposed optimization method is examined on IEEE 15-unit, 40-unit and 100-unit test systems.
- Subjects :
- Mathematical optimization
Engineering
business.industry
020209 energy
Economic dispatch
Energy Engineering and Power Technology
Particle swarm optimization
Control reconfiguration
02 engineering and technology
law.invention
Nonlinear system
law
Convergence (routing)
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Cartesian coordinate system
Electrical and Electronic Engineering
Polar coordinate system
business
Bat algorithm
Subjects
Details
- ISSN :
- 01420615
- Volume :
- 82
- Database :
- OpenAIRE
- Journal :
- International Journal of Electrical Power & Energy Systems
- Accession number :
- edsair.doi...........154bdd1485fce524e116c68079900293