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Short-term management of hydro-power systems based on uncertainty model in electricity markets

100%

Firouz M. H. , Ghadimi N.

Journal of Power Technologies

2015

tom Vol. 95, nr 4

265--272

There are several methods for generating scenarios in stochastic programming. With extensive historical data records, one possibility is to represent the probability distribution of the uncertain data using a statistical model suitable for sampling. This method is especially useful for handling uncertain data that develops over time by means of time series analysis. In this paper a time series model relevant to the short-term management of hydropower systems is proposed. This further illustrates the abilities of the models to capture developments in uncertain data over time. To demonstrate the validity of this model, results from the Nordic power exchange Nord Poland a Norwegian power plant are presented.

Distributed Generation Allocation in Radial Distribution Systems Using Various Particle Swarm Optimization Techniques

80%

Farhadi P. , Ghadimi N. , Sojoudi T.

Przegląd Elektrotechniczny

2013

tom R. 89, nr 1a

261--265

Distributed generations (DGs) are continuously integrated into the distribution systems either by the utilities or the customers. Site and size of DGs have significant impacts on the system power losses . In this paper, the most recent and practical PSO algorithms are used to optimally allocate DGs in radial distribution systems, and the obtained results are discussed and compared to each other. The single objective is to minimize network power losses using the least possible injected power from DGs. To have a good benchmark for comparisons of different PSO Techniques, simulations carried out on IEEE 33-bus and 69-bus standard radial distribution systems.

Rozproszone układy generacji DGs mogą być dołączane do system energetycznego albo przez wytwórcę albo użytkownika. W artykule przedstawiono algorytm PSO umożliwiający optymalizację dołączenia system DGs do sieci radialnej. Głównym celem optymalizacji jest zmniejszenie strat mocy.

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

70%

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

Przegląd Elektrotechniczny

2012

tom R. 88, nr 7a

90-93

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.

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.