This paper proposes procedures for optimal planning and operation of radial distribution systems
(RDS). Optimal planning involves selection of the best cross-section of branches to be operated,
such that the resulting RDS yields the desired performance for the existing and expanding load
demand. A genetic algorithm (GA) is used to obtain the optimal branches of RDS by minimizing
the sum of branch cost and present worth of the feeder energy costs, while keeping the voltage
regulation within a prescribed limit and satisSying the growth factor. The multi-objective genetic
algorithm (MOGA) is suggested to achieve more than one objective and satisfy the RDS
constraints. After selection of the optimal branches, an optimal operation procedure of RDS is
proposed using a distribution system software programming @SSP). This program is applied to
obtain the optimal switched point to find the best radial reconfiguration system with minimum
energy loss costs and satisfy the RDS constraints such as: branch voltage drop, thermal current
carrying capacity and balanced power generation-load demand equation. Different studies are
presented to illustrate the capability of the proposed optimal procedures using two real life power
distribution systems.