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The Simultaneous Application of Optimum Network Reconfiguration and Distributed Generation Sizing Using PSO for Power Loss Reduction

Dahalan W., Mokhlis H., Bakar A.H.A., Jamian J. J.

Przegląd Elektrotechniczny

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2013

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R. 89, nr 4

137-141

EN

The utilization of Distributed Generation (DG) sources in Distribution Power system is indeed vital as it is capable of solving problems especially pertaining to power losses due to an increasing demand for electrical energy.The location and optimal size of DG has become a prominent issue for the network to have lower power losses value. In order to reduce unnecessary power losses, the use of a combination reconfiguration method and DG units can assist the system to obtain optimal power loss in the network distribution. The primary idea is to have the reconfiguration process embedded with Distributed Generation (DG) and being operated simultaneously to reduce power losses and determine the optimal size of DG by using Particle Swarm Optimization (PSO). The objective of this paper is to focus on reducing the real power losses in the system as well as improving the voltage profile while fulfilling distribution constraints. The simulation results show that the use of simultaneous approach has resulted the lower power losses and better voltage profile of the system. A detail performance analysis is carried out on IEEE 33-bus systems demonstrate the effectiveness of the proposed methodology.

PL

W artykule przedstawiono metodę przeprowadzenia rekonfiguracji systemie elektroenergetycznym z wykorzystaniem generatorów rozproszonych. Do zadań głównych należy ograniczenie strat i optymalizacja rozmiarów generatorów, przy jednoczesnym zapewnieniu stabilności systemu. W rozwiązaniu wykorzystano metodę PSO. Przedstawiono wyniki badań symulacyjnych oraz analizę szczegółową dla systemu IEEE 33- liniowego.

2

Solving Optimal Capacitor Allocation Problem using DE Algorithm in Practical Distribution Networks

Karimi M., Shayeghi H., Banki T., Farhadi P., Ghadimi N.

Przegląd Elektrotechniczny

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2012

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R. 88, nr 7a

90-93

EN

In this paper, Differential Evolutionary (DE) algorithm has been proposed to determine optimal location, size, and number of capacitor banks in the radial distribution networks. Load of networks consist of different patterns, then in load modelling process three models have been introduced; constant and varying as well as effective loads. For capacitor installation, distribution networks are best option and as majority of distribution networks have radial topology; then DE algorithm has been tested on IEEE 10-bus radial distribution network and practical 73-bus radial distribution network of Ahvaz city in south of Iran. In this study, has been focused on cost and active power loss reduction as well as increment of minimum voltage using capacitor installation.

PL

W artykule opisano wykorzystanie algorytmu DE (different evolutionary) do określania optymalnej lokalizacji, wielkości i liczby kondensatorów w sieci energetycznej. Jako obciążenie przyjęto trzy różne modele. Algorytm był testowany na IEEE 10-szynowej sieci promieniowej i 73 szynowej sieci w mieście Ahvaz w Iranie.

3

Heuristic Optimization Techniques to Determine Optimal Capacitor Placement and Sizing in Radial Distribution Networks: A Comprehensive Review

Sirjani R., Mohamed A., Shareef H.

Przegląd Elektrotechniczny

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2012

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R. 88, nr 7a

1-7

EN

Capacitors in power systems are used to supply reactive power to minimize loss and to improve the voltage profile. The appropriate placement of capacitors is also important to ensure that system power losses and total capacitor costs are minimal. The capacitor placement problem is commonly solved using heuristic optimization techniques which are diverse and have been the subject of ongoing enhancements. This paper presents a survey of the literature from the last decade that has focused on the various heuristic optimization techniques applied to determine optimal capacitor placement and size.

PL

Kondensatory używane są w sieciach zasilających do poprawy jakości napięcia – zmniejszenia mocy biernej. Ważną rolę odgrywa umiejscowienie kondensatora. W artykule zaprezentowano przegląd literaturowy prac na temat metod optymalizacji umożliwiających określenia optymalnej pozycji i wielkości kondensatora.