Indicator-based modified genetic approach for power network reconfiguration

Abstract

The paper presents a novel approach to power network reconfiguration, based on indicators and genetic optimization philosophy. The “fitness” of power network topology is estimated by the relative decrease o the total periodic short-circuit currents. Power losses, power transmission line lading, voltage levels are considered as constraints in order to ensure feasibility of the resulting topology of the network. The approach was verified using 118-bus fragment of the real regional power system and demonstrated high efficiency in comparison to the conventional genetic optimization.