Optimal reconfiguration and load recovery of the distribution system following the faults considering the uncertainties of distributed generations and loads and using electric vehicle parking lots to improve the system reliability

Document Type : Original Article

Authors

Department of Electrical Engineering, Faculty of Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran

Abstract

One of the most important goals in the planning and operation of distribution systems is to provide adequate and suitable reliability for networks. Renewable energy sources can contribute to the consumers’ demand and optimal operation of the system. However, the uncertainty of the output power of these resources can make it difficult to meet the demand following the faults. On the other hand, in post-fault conditions electric vehicle parking lots can help improve the reliability of the system by injecting the excess energy stored in the electric vehicles. In this paper, a stochastic framework is considered for the generation of distributed energy resources and load demand of a radial distribution system, and an algorithm is presented for optimal reconfiguration and load recovery after the occurrence of a fault in the system. In addition, the energy stored in electric vehicle parking lots is used to improve the load recovery strategy to reduce the load shedding amount Therefore, the optimization problem is formulated by addressing the common uncertainties of renewable energy resources and electric loads, and to solve the problem of load recovery and reconfiguration of the system in post-fault condition, the Particle Swarm Optimization (PSO) algorithm with the TRIBE concept is used. Also, an encoding scheme is used to ensure that the solution is optimal. Simulation results of the proposed scheme show that system reconfiguration and load recovery after the fault along with the use of electric vehicle parking lots can improve the reliability of the system.

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TABRIZ JOURNAL OF ELECTRICAL ENGINEERING

Articles in Press, Corrected Proof
Available Online from 01 August 2024

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