نوع مقاله : علمی-پژوهشی
نویسندگان
گروه مهندسی برق، دانشکده مهندسی، دانشگاه شهید چمران اهواز، اهواز، ایران
چکیده
کلیدواژهها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
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.
کلیدواژهها [English]
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