Optimal use of photovoltaic systems in the distribution network considering the variable load and production profile of Kerman city

Subject Areas : Application of soft computing in engineering sciences

Fahimeh Sayadi Shahraki ¹ , Shaghayegh Bakhtiari Chehelcheshmeh ^{2 *} , Alireza Zamani Nouri ³

1 - Department of Electrical Engineering, Shahr-e-Qods Branch, Islamic Azad University, Tehran, Iran
2 - Department of Computer Engineering, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran.
3 - Department of Civil Engineering, Shahr-e-Qods Branch, Islamic Azad University, Tehran, Iran.

Received: 2025-01-01 Accepted : 2025-04-05 Published : 2025-04-05

Keywords: Photovoltaic systems, Optimization, distribution network, power quality,

Abstract :

Photovoltaic systems are very important renewable energy sources, and optimal use of their active and reactive power capacity is very useful in improving the power quality of the distribution network. Therefore, it is necessary to determine the optimal location, number, and capacity of the solar system with appropriate optimization methods so that the maximum reduction in network losses is achieved while considering power quality constraints. Given the complexity and many limitations of the problem, the need to use an appropriate optimization method is evident. In this paper, using the P-PSO optimization algorithm, in the IEEE 33-bus test network, the location and capacity of the active and reactive power of the solar system are determined based on the variable load profile of the network and the daily production curve of the solar system in Kerman city to minimize losses and improve the voltage profile of the electrical energy distribution networks. To increase the accuracy of this optimization, each of the load and production curves is divided into three different levels, according to the geographical climate of Kerman city, in one year, and to evaluate the performance of the proposed method, the relevant results in four different scenarios are examined. The optimization results indicate a significant impact on improving power quality indicators in the presence of photovoltaic systems, especially when using the active and reactive power capacities of these units simultaneously.

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