Reliability Assessment of Radial Distribution System with Optimally Located DGs using ANN
Keywords:
DG sizes, Optimal placement, Radial distribution system, Real power loss, Reliability, Voltage stabilityAbstract
The study exhibits a PSO optimization approach to refine the reliability and operational efficiency of a radial delivery network (RDN) by optimizing the site and location of Distributed Generators (DGs). The IEEE 11-Bus System is chosen as a benchmark network for evaluating the effectiveness of distribution-level optimization techniques. First, information regarding the system parameters (bus data, line resistance and reactance, real and reactive power demands and voltage profiles) is collected and preprocessed. Once the base-case analysis is completed and the evaluation indices, such as active power loss, reactive power loss, voltage deviation, and reliability indices, are assessed, the optimal DG placement and suitable DG sizes are determined using Particle Swarm Optimization (PSO) subject to operational constraints. The multi-objective function minimizes power losses and voltage deviation while maximizing the Voltage Stability Index (VSI). The proposed optimization approach is found to significantly enhance the system voltage stability, reliability, and overall performance based on the comparative analysis. The active power loss was reduced from 725.533 kW to 121.0347 kW, and the minimum voltage after DG integration optimization was upgraded from 0.9038 p.u. to 0.9823 p.u.
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