Optimal Operation of Automated Distribution Networks Based-MRFO Algorithm

Nowadays, distribution utilities expend large investments on Distributed System Automation (DSA) based smart secondary substations at load, capacitor, and distributed generator points with installed automatic sectionalizing switches their branches. This article addresses the optimal control operation of systems that minimize wasted energy introducing quantitative qualitative power services to meet consumers' satisfaction. Simultaneous allocations Generators (DGs) Capacitor Banks (CBs) are handled peak loading condition. Then, DSA is optimally activated for Distribution Network Reconfiguration (DNR), DGs commitment, CBs switching losses minimization in coordination different conditions. Practical daily load variation applied simulate dynamic automated systems. For achieving these targets, Manta Ray Foraging Optimization Algorithm (MRFOA) adopted. MRFOA an effective simple structure optimizer emulates three various individual manta rays foraging organizations. The capability IEEE 33-bus, 69-bus practical network 84-bus due Taiwan Power Company (TPC). A comparison recent techniques has been conducted prove effectiveness MRFOA. accomplished results demonstrate proposed great robustness among other optimization techniques.