Development of Improved Particle Swarm Optimization Algorithm Based on Success Rate for Optimal Placement of DG on Distribution Network

The increase in load demand of distribution networks, made the role of distribution systems (DSs) difficult for the power utilities. However, thoughtful planning for supplementary power reimbursement are necessary on DSs for power loss and voltage deviation minimization which is done by optimization techniques. An Improved Particle Swarm Optimization algorithm Based on Success Rate (IPSO-SR) was introduced for the optimal allocation of Distributed Generation (DG) due its robust convergence. The work is implemented on IEEE 33 Bus system. Newton Raphson Power Flow (NRPF) is used in MATLAB R2018a environment. The average voltage achieved from the simulation results at base case is 0.9488pu. . However, when two DGs were located optimally using PSO algorithm, the average voltage achieved was 0.9669pu, in the case of IPSO-SR algorithm is found to be 0.9792pu, which shows enhancement of 3.20%. Whereas when three DGs was applied the result obtained is 3.52% as related to PSO where the average voltage achieved was 0.9669pu. The average voltage was upgraded to 0.9822pu using IPSO-SR. The total real power loss gained from the simulation result of 2-DG is 202.7071MW for base case, but reduced to 123.4201MW using PSO and found to be 122.496MW using IPSO-SR which is equivalent to 39.79%. While for 3 DGs, decreased to 119.2670MW using PSO, but with IPSO-SR was 113.9630MW which demonstrated reduction of 43.77%. The results established a minimized system loss while enhancing voltage profile.