The Impacts of a Decision Making Framework on Distribution Network Reconfiguration

摘要: Modern distribution power systems face more complex challenges compared to the conventional systems. A powerful technique react such is network reconfiguration, which needs be adapted with “recent” concerns of modern Hence, it essential determine optimal configurations “rapidly” for better time management hour-ahead system's decision making. This paper proposes an optimization algorithm, named parallel frog migrating algorithm (PFMA), rapidly identify system topology operation. The significance proposed development a fuzzy-based making unit realistically evaluate necessity implementing identified topologies. will noticeably decrease computational burden operator in analyzing configurations. effectiveness PFMA validated on unbalanced 136-bus containing wind turbine and photovoltaic (PV) distributed generation units (DGs). It demonstrated that presented able close solutions faster than nonlinear solver General Algebraic Modeling System (GAMS) software. More importantly, verified developed mechanism effectively takes advantage renewable DGs reduces reconfiguration.