Optimal Multistage Planning for Distribution Systems with Distributed Generation

Abstract

Distribution systems planning is the key feature for determining the optimal scenario to provide reliable and economic electric service to the customer. Comprehensive analytical study is discussed for several scenarios to cover the different options that can be adopted to solve the distribution system planning problem and meet the load growth. In classical planning schemes, the load is supplied by upgrading the existing substation capacity or feeder reconfiguration. However, if the economic variations are tremendous, the proposed strategies must be readjusted to include nontraditional alternative capacity’s investment options to cope with the economic status variations. Therefore, Distributed Generation (DG) is introduced to the network as one of the innovative alternatives for solving the planning model. This thesis illustrates a multistage planning optimization model which has been evaluated considering a two-stage planning interval. Cost present worth analysis of different scenarios are carried out to estimate the feasibility of introducing DG as a key element in solving the distribution systems planning problem.