MULTI-OBJECTIVE PLANNING FOR CONTINGENCY ANALYSIS AND FUTURE EXPANSION OF RADIAL DISTRIBUTION SYSTEM

A multi-objective hybrid approach based on particle swarm optimization (PSO) is presented to solve the radial distribution system (RDS) planning problem with contingency considerations. The planning variables considered are the location of sub-station, the number of feeders, their routes, the optimal selection of conductors, the number and location of tie lines and sectionalizing switches. For planning, the main objectives considered are the minimization of the system cost and contingency load loss index and the sub-objectives are the minimization of real power loss and voltage deviation index. Once the optimization process is performed using PSO, number and location of sectionalizing switches and tie lines are determined by blending heuristic in PSO. In the end, a novel approach based on gravitational rules, minimal path algorithms, heuristic and PSO for multi-objectives, multi-variables RDS planning problem is proposed. To establish the effectiveness of the proposed algorithms, many test data were solved and the results are compared with reported test systems.