A new multiobjective fuzzy shuffled frog-leaping algorithm for optimal reconfiguration of radial distribution systems in the presence of reactive power compensators

This paper presents a new approach for the optimal reconfiguration of radial distribution systems in the presence of reactive power compensators (RPCs). The proposed method is based on the simultaneous reconfiguration and RPC allocation for the mitigation of losses, equalizing the feeder load balancing as well as improving the voltage profile in power distribution networks. In this paper, the compensators are the capacitor bank and distribution static compensator, which is a type of distribution flexible alternating current transmission system device representative of conventional and modern RPCs. In this regard, the optimal states of the distribution system tie switches are determined taking into consideration the best size and location of the RPCs. In order to facilitate the algorithm for multiobjective search ability, the optimization problem is formulated for minimizing fuzzy performance indices. Since the optimization problem is nonlinear, using intelligent search methods such as the shuffled frog-leaping (SFL) algorithm can overcome the limitations of conventional analytic methods. In addition, to enhance the performance of the standard SFL, the fuzzy frog-leaping rule is used in this paper. This algorithm is more accurate and has an efficient convergence property compared to other intelligent search algorithms. The proposed method is validated using the IEEE 33-bus test system and a Tai-Power 11.4-kV distribution system as a real distribution network. The obtained results indicate that multiobjective simultaneous placement of RPCs along with reconfiguration can be more beneficial than separate single-objective optimization.

A new multiobjective fuzzy shuffled frog-leaping algorithm for optimal reconfiguration of radial distribution systems in the presence of reactive power compensators

This paper presents a new approach for the optimal reconfiguration of radial distribution systems in the presence of reactive power compensators (RPCs). The proposed method is based on the simultaneous reconfiguration and RPC allocation for the mitigation of losses, equalizing the feeder load balancing as well as improving the voltage profile in power distribution networks. In this paper, the compensators are the capacitor bank and distribution static compensator, which is a type of distribution flexible alternating current transmission system device representative of conventional and modern RPCs. In this regard, the optimal states of the distribution system tie switches are determined taking into consideration the best size and location of the RPCs. In order to facilitate the algorithm for multiobjective search ability, the optimization problem is formulated for minimizing fuzzy performance indices. Since the optimization problem is nonlinear, using intelligent search methods such as the shuffled frog-leaping (SFL) algorithm can overcome the limitations of conventional analytic methods. In addition, to enhance the performance of the standard SFL, the fuzzy frog-leaping rule is used in this paper. This algorithm is more accurate and has an efficient convergence property compared to other intelligent search algorithms. The proposed method is validated using the IEEE 33-bus test system and a Tai-Power 11.4-kV distribution system as a real distribution network. The obtained results indicate that multiobjective simultaneous placement of RPCs along with reconfiguration can be more beneficial than separate single-objective optimization.

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Turkish Journal of Electrical Engineering and Computer Science-Cover
  • ISSN: 1300-0632
  • Yayın Aralığı: Yılda 6 Sayı
  • Yayıncı: TÜBİTAK
Sayıdaki Diğer Makaleler

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A new multiobjective fuzzy shuffled frog-leaping algorithm for optimal reconfiguration of radial distribution systems in the presence of reactive power compensators

Hossein Dehghan DEHNAVI, Saeid ESMAEILI

A word spotting method for Farsi machine-printed document images

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Multiobjective daily Volt/VAr control in distribution systems with distributed generation using binary ant colony optimization

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An event-driven WSN MAC protocol design based on active node and dynamic time slot allocation

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A novel approach for the reconfiguration of distribution systems considering the voltage stability margin

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Controlling the chaotic discrete-Hénon system using a feedforward neural network with an adaptive learning rate

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Image pattern recognition technique for the classification of multiple power quality disturbances

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A framework for medical image retrieval using merging-based classification with dependency probability-based relevance feedback

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Control, design, and implementation of a low-cost ultracapacitor test system

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