Distribution Network Reconfiguration simultaneously with Determining the Optimal Location and Capacity of Microturbines in Terms of Technical Issues Using Whale Optimization Algorithm and Fuzzy Technique
Esmail Khalilzadeh
1
(
Department of Electrical Engineering, Arsanjan Branch, Islamic Azad University, Arsanjan, Iran
)
Mohammad Amin Salehi Balashahr
2
(
Electrical Engineering Deprtment, Bandar Abbas Branch, Islamic Azad University, Bandar Abbas, Iran
)
Keywords: Distribution network reconfiguration, Fuzzy technique, Microturbine optimization, Reducing the fault current, Whale optimization algorithm,
Abstract :
Electricity networks are undergoing significant changes and restorations due to several factors, including the aging of electrical components used in current systems, the introduction of innovative technologies in energy sources, information and communication sectors, limitation of fossil fuels, and increasing pressure to comply with environmental requirements. In this paper, to solve the multi-objective problem of distribution network reconfiguration (DNR) in the presence of microturbines, the Whale optimization algorithm (WOA) has been proposed. In this field, the power losses and voltage profile improvement are the two most used objective functions in the literature. In addition to the mentioned objective functions, this paper also considers the optimal generation capacity of microturbines and reducing the fault current of the network lines to less than the rated fault current of the power switches. In this paper, the values of different objective functions are normalized by the fuzzy method. Since a set of candidate responses is created using Whale multi-objective algorithm, the Fuzzy technique is used to determine the most optimal solution among the Pareto-optimal solutions. The proposed algorithm is implemented on IEEE 33-bus test system. The simulation results show the efficiency of the proposed algorithm in improving the considered objective functions. The proposed method, by establishing a suitable fit between different objective functions has introduced a more efficient structure with lower losses and voltage profile improvement, as well as the fault current passing through the lines less than the tolerable amount of the network power switches.
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