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This paper presents a hierarchical decentralized agent-based network reconfiguration methodology to minimize power losses for smart distribution systems. A novel formulation of the network reconfiguration problem is given in which the switch states are the decision variables, and a single-loop branch-exchange heuristic algorithm is used to solve the optimization problem. The entire distribution system...
Network reconfiguration is a constrained, nonlinear, integer optimization problem. This paper presents a decentralized methodology that is capable of incorporating network reconfiguration algorithms to minimize power losses for smart distribution systems. The “optimal” configuration of the entire system results from collaborations of individual agents, and the computational time is greatly reduced...
Network reconfiguration is a combinatorial optimization problem that can be used to reduce power losses in distribution systems while satisfying all operating constraints. Distribution systems are greatly impacted by the increasing integration of distributed generation (DG) resources and thus it is necessary to develop methods that can quantify the effects of DG on network reconfiguration. This paper...
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