Document Type : Research article
Authors
1
Department of Electrical Engineering, Faculty of Engineering, Malayer University, Malayer, Iran.
2
Department of Electrical Engineering, Faculty of Engineering, Malayer University, Malayer, Iran
3
Department of Electrical Engineering, Hamedan University of Technology, Hamedan, Iran.
10.61882/jgeri.2026.2082014.1095
Abstract
Abstract:
The increasing demand for electricity consumption, along with the integration of renewable energy sources such as wind and solar power into the distribution network, can lead to exceeding power flow limits. Consequently, this may result in lines currents exceeding permissible limits, as well as increased losses and voltage fluctuations at certain buses. In this paper, a demand response-based method is proposed for managing congestion in the distribution network. In this approach, residential, commercial, and industrial loads submit offers to the network operator for adjusting their consumption based on their respective costs. Five scenarios are considered for congestion mitigation, with the following objectives respectively: minimizing voltage deviations at network buses, minimizing cost, minimizing lines power losses, minimizing cost, losses, and voltage deviations simultaneously, and a fifth scenario that includes a wind-based distributed generation unit connected to one of the buses. The network operator then executes the program using the proposed prices for the hours of the day when certain lines are congested, aiming to resolve line congestion with the minimum value of the objective function. To find the best possible solution across different scenarios, the Particle Swarm Optimization (PSO) algorithm is utilized. The proposed method has been simulated in MATLAB/Simulink software and applied to IEEE 33-bus network, and the results have been evaluated.
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