Application of computational intelligence in optimal expansion of distribution systems

Mitra, Joydeep

doi:10.1109/pes.2008.4596645

Cited by 5 publications

(1 citation statement)

References 13 publications

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“…However, several conclusions about the final system configuration are drawn as the ECOST and the EENS were both considered as objectives in the optimization problem. Reliability improvement of power distribution systems using distributed generation has also been proposed in the literature [18,24].…”

Section: Introductionmentioning

confidence: 99%

Reliability-Constrained Optimal Distribution System Reconfiguration

Elsaiah

Benidris

Mitra

2014

Chaos Modeling and Control Systems Design

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This work describes a method for reliability improvement of power distribution system via feeder reconfiguration. The work presented here is developed based on a linearized network model in the form of DC power flow and linear programming model in which current carrying capacities of distribution feeders and real power constraints have been considered. The optimal open/close status of the sectionalizing and tie-switches are identified using an intelligent binary particle swarm optimization based search method. The probabilistic reliability assessment is conducted using a method based on higher probability order approximation. Several case studies are carried out on a 33 bus radial distribution system and also on 118 buses large-scale distribution system, which are extensively used as examples in solving the distribution system reconfiguration problem. Further, the effect of embedded generation on distribution system reconfiguration has been considered in one case scenario. The test results show that the amount of annual unnerved energy and customer's interruptions can be significantly reduced using the proposed method. Further, the reliability assessment method and the search method proposed in this work have both shown to be computationally efficient and very suitable for reliability-constrained feeder reconfiguration problems.

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Section: Introductionmentioning

confidence: 99%

Reliability-Constrained Optimal Distribution System Reconfiguration

Elsaiah

Benidris

Mitra

2014

Chaos Modeling and Control Systems Design

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Comparison of the Perturb and Observe and simulated annealing approaches for maximum power point tracking in a photovoltaic system under partial shading conditions

Lyden

Haque

2014

2014 IEEE Energy Conversion Congress and Exposition (ECCE)

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Application of a Simulated Annealing technique for global maximum power point tracking of PV modules experiencing partial shading

Lyden

Haque

Xiao

2014

IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society

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This paper proposes a Simulated Annealing based Global Maximum Power Point Tracking (GMPPT) technique designed for photovoltaic (PV) systems which experience partial shading conditions (PSC). The proposed technique is compared with the common Perturb and Observe MPPT technique and the Particle Swarm Optimization approach to GMPPT. The performance is assessed by considering the time taken to converge and the number of cases where the technique converges to the GMPP.Simulation results indicate the improve performance of the Simulated Annealing based GMPPT algorithm in tracking to the Global maxima in a multiple module system experiencing PSC. Keywords-photovoltaic systems, maximum power point trackers, simulated annealing, particle swarm optimizationI.

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Application of computational intelligence in optimal expansion of distribution systems

Cited by 5 publications

References 13 publications

Reliability-Constrained Optimal Distribution System Reconfiguration

Reliability-Constrained Optimal Distribution System Reconfiguration

Comparison of the Perturb and Observe and simulated annealing approaches for maximum power point tracking in a photovoltaic system under partial shading conditions

Application of a Simulated Annealing technique for global maximum power point tracking of PV modules experiencing partial shading

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