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Improved meta-heuristic techniques for simultaneous capacitor and DG allocation in radial distribution networks
- Source :
- International Journal of Electrical Power & Energy Systems. 73:653-664
- Publication Year :
- 2015
- Publisher :
- Elsevier BV, 2015.
-
Abstract
- The active and reactive power flow in distribution networks can be effectively controlled by optimally placing Shunt Capacitors (SCs) and Distributed Generators (DGs). This paper presents improved versions of three evolutionary or swarm-based search algorithms, namely, Improved Genetic Algorithm (IGA), Improved Particle Swarm Optimization (IPSO) and Improved Cat Swarm Optimization (ICSO) to efficiently handle the problem of simultaneous allocation of SCs and DGs in radial distribution networks while considering variable load scenario. The benefit of network reconfiguration has also been taken into account after optimal allocation of these devices. Several algorithm specific modifications are suggested in the standard forms of GA, PSO and CSO to overcome their inherent drawbacks. In addition, an intelligent search approach is proposed to enhance overall performance of proposed algorithms. The proposed methods are investigated on IEEE 33-bus and 69-bus test distribution systems showing promising results when compared with other recently established methods. Application results also show a marked improvement in the performance of these algorithms while compared with their respective standard counterparts.
- Subjects :
- Engineering
Mathematical optimization
business.industry
Energy Engineering and Power Technology
Particle swarm optimization
Swarm behaviour
Radial distribution
AC power
law.invention
Capacitor
law
Search algorithm
Genetic algorithm
Electrical and Electronic Engineering
Multi-swarm optimization
business
Subjects
Details
- ISSN :
- 01420615
- Volume :
- 73
- Database :
- OpenAIRE
- Journal :
- International Journal of Electrical Power & Energy Systems
- Accession number :
- edsair.doi...........3774012e559a7f661764836737b1ad55