The present work deals with the problem of restoration of a radial and balanced Electric Distribution System, that after an event causes the programmed disconnection, or not programmed, remains with one or several stretches of feeders without power. The load restoration methodology uses the automatic reconfiguration algorithm, establishing a new arrangement of closed and open interruptors that modifies the topology, seeking the reconfiguration for energy restoration that simultaneously optimizes two objectives: the load to be restored and the number of possible maneuvers. Both objectives are simultaneously optimized by the Genetic Algorithm, adapted for multi-objective optimization through the weighted sum of objective functions. In order to validate the proposed method, three electric distribution system were considered, two small size academics systems and one medium scale real system, belonging to the ANDE distribution system. The restoration results, obtained in a substantially reduced computational time, demonstrate the efficiency of the proposed method, which could be a useful tool in load dispatch and operation planning.
The optimal coordinated tuning of a group of Static Var Compensators (SVC), in steady state, allows the Power Electric Systems (PES) to operate close to their overload limits, maintaining the voltage stability in several operating conditions. The mentioned tuning problem was considered as a Multi- objective Optimization Problem (MOP) with three objectives to optimize: the financial investment for acquiring the set of compensators, the maximum voltage deviation and total active power loss. The Genetic Algorithm (GA), which belongs to the group of Evolutionary Algorithms, was utilized and adapted for MOP, obtaining a Multi-Objective GA (MOGA). The parameters to be adjusted in each compensator are: the reference voltage and the minimum and maximum reactive power injected to the system. In this work, the number of compensators and their locations were calculated using the Q-V sensitivity curve, from the Load Flow algorithm, based on Newton–Raphson method. The proposed coordinated tuning method will be validated considering an example of PES, where was located and tuned a specific set of compensators. Time simulations were made for dynamic performing the steady state coordinated tuning.
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