Distribution system planning with evolutionary programming and a reliability cost model

Cost of reliability of optimal distribution system planning is considered. The reliability cost model has been derived as a linear function of line no flows for evaluating the outages. The objective is to minimise the total c ost including the outage cost, feeder resistive loss, and fixed investment cost. Evolutionary programming was used to solve the very complicated mixed -integer, highly nonlinear and nondifferential problem. A real distribution network was modelled as the sample system for tests. There is also a highe r opportunity to obtain the global optimum during the EP process.