Optimal Reconfiguration Algorithm for Radial Distribution System Feasible under Normal and Abnormal Conditions

This paper presents a new reconfiguration algorithm makes suitable to work on both normal and abnormal conditions of Radial Distribution System (RDS). The network reconfiguration is the process of modifying the open/close status of the switches of RDS and also that must not interrupt customers heavily. The proposed method uses an effective and fast approach based on the hybrid Plant Growth Simulation Algorithm (PGSA) and heuristic fuzzy for reconfiguration. The optimization approach based on PGSA provides detailed description on switch states for calculation. Furthermore, the fuzzy has been incorporated with PGSA allows for taking up more constraints amid optimization. A new network configuration can be attained through the proposed algorithm with minimized loss, proper loading at the feeders and voltage within the permissible limit at the buses, when RDS subjected to any conditions. The advantages of the proposed approach in relation to previously published algorithms are that it does not require any external parameters to be calculated, evade heavy numerical computing, provides opportunity of taking up more constraints simultaneously and less time consumption. This technology especially suits for the RDS supplied from more number of feeders. The solution algorithm is implemented through J2EE (Java 2 Enterprise Edition) architecture to reduce software couplings and to achieve software reusability. The effectiveness of the proposed approach is demonstrated by employing the feeder switching operation scheme to standard sample system. The numerical results demonstrate well the validity and effectiveness of the proposed approach.