Optimal Placement of Distributed Generation Sources Using Parato Multi-Objective Concepts in Power Distribution Networks

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Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:

Connecting distributed generation units with their proper placement in the network will have various effects such as increasing network reliability, reducing losses, improving voltage profiles, reducing transmission and energy distribution costs, and improving power quality parameters, including voltage imbalances. Since voltage imbalance is one of the common problems of distribution networks, this paper deals with the optimal placement of these resources in the unbalanced distribution system at different and asymmetric loads in the structure of distribution lines. Reducing the voltage imbalance coefficient, in order to increase the quality of power delivered to customers, has been one of the goals of optimal placement of distributed products in this study. Due to the need to carry out load distribution studies in unbalanced distribution systems, this study was performed using CYME-Dist software and the optimization process, by establishing a relationship between the software and MATLAB software. By introducing the multi-objective function to locate the distributed generation sources, in order to minimize the unbalanced voltage coefficient and real power losses, improve the voltage profile and increase the economic gain, the concepts of multi-objective optimization (Parato) have been used. Furthermore, the NSGA-II algorithm has investigated the placement of scattered products in the IEEE standard 13-bus network, at three different load levels. What can be deduced from the results is that by properly placing the distributed generation sources in the unbalanced distribution system, the amount of losses and voltage imbalances can be reduced. Also shown in a placement it has been shown that placing distributed generation resources in the right place will bring significant benefits to its consumers.

Language:
English
Published:
International Journal of Smart Electrical Engineering, Volume:9 Issue: 3, Summer 2020
Pages:
129 to 134
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