In this paper, a heuristic approach is considered for the Distributed Generator (DG) placement to minimize system loss. Constriction Factor Particle Swarm Optimization (CFPSO) method is used as an optimization tool for the planning problem. A Monte Carlo Simulation (MCS) based probabilistic load flow is proposed to find the unavailability of the DGs in the planning problem. The Net Present Value (NPV) analysis of the planning in electricity market scenario is carried out for biomass DG, wind DG, Solar Photo Voltaic (SPV) DG and Diesel Engine (DE) DG to see their viability under bi-lateral and competitive market scenarios. Various factors such as profit, incentives on capital, replacement, startup, operation and maintenance costs have been taken into account. The proposed market-based analysis is simple and generic, and can provide choices to the distribution utilities to select DGs under various constraints. The effectiveness of the proposed method is tested on 16-bus, 33-bus and 69-bus distribution systems and results are compared with an improved analytical method suggested in literature.
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