Abstract
Node importance degree is a vital index in distribution network reconfiguration because it reflects the robustness of the network structure by evaluating node importance. Since the traditional reconfiguration ignores this index, the reconstructed network structure may be vulnerable which would reduce the security and stability of the distribution systems. This paper presents a novel reconfiguration strategy considering the node importance. The optimization objectives are the improvement of the node importance degree and the reduction of power loss. To balance the objectives, the reconfiguration mathematical model is formulated as a compound objective function with weight coefficients. Then the quantum particle swarm algorithm is employed to address this compound objective optimization problem. The strategy can model different scenarios network reconfiguration by adjusting the weight vector based on the tendencies of the utility decision maker. Illustrative examples verify the effectiveness of the proposed strategy.
Highlights
As one of the main findings in the study of complex systems, the ubiquitous presence of networks in nature and society has attracted much attention of many researchers
We introduce the node importance degree to describe the importance of nodes in the network
This paper presents a new reconfiguration strategy with compound objective function
Summary
As one of the main findings in the study of complex systems, the ubiquitous presence of networks in nature and society has attracted much attention of many researchers. The topologies of such networks have been profusely researched and some fundamental structures have been discovered [1]. Many feeders are interconnected with the switches. These switches are divided into two types of switches: sectionalizing switches and tie switches. Under normal or abnormal operating conditions, network reconfiguration is a process that consists in altering the status of sectionalizing and tie switches. Traditional goal of the power loss minimization has gained much attention because excessive power loss would lead to high
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