MVMO for Optimal Reconfiguration in Smart Distribution Systems

This paper introduces an approach based on the mean-variance mapping optimization algorithm (MVMO) to solve the optimal reconfiguration of radial distribution systems (ORRDS). MVMO is an emerging evolutionary algorithm, whose search procedure performs within a normalized range of the search space for all optimization variables, and by following either a single parent-offspring pair or a population based procedure. Remarkably, its main trait resides in the use of a special mapping function for mutation operation, which allows a controlled shift from exploration priority at early stages of the search process to exploitation at later stages. Numerical tests on the IEEE 33-bus test system, including performance comparison with other state-of-art algorithms, show the effectiveness of the MVMO-based approach to get the optimal switching combination in the network which results in total minimum active power losses.