Network reconfiguration is a nonlinear optimization procedure which calculates a radial structure to optimize the power losses and improve the network reliability index while meeting practical constraints. In this paper, a multi-objective framework is proposed for optimal network reconfiguration with the objective functions of minimization of power losses and improvement of reliability index. T...

The distribution system problems, such as planning, loss minimization, and energy restoration, usually involve the phase balancing or network reconfiguration procedures. The determination of an optimal phase balance is, in general, a combinatorial optimization problem. This paper proposes optimal reconfiguration of the phase balancing using the neural network, to switch on and off the different...

Voltage stability has recently become a challenging issue in many power systems. The distribution systems are reconfigured with a view to reduce the system losses and offer a better voltage profile for the utilities. This paper presents a new fuzzy based reconfiguration algorithm that enhances voltage stability and improves the voltage profile besides minimising losses, without incurring any ad...

In the present paper, distribution feeder reconfiguration in presence of distributed generation resources (DGR) and energy storage systems (ESS) is solved dynamic form. Since studies on problem have ignored grid security reliability, non-distributed index along with loss voltage stability indices has been assumed as objective functions given problem. To achieve mentioned benefits, there are sev...

This study aimed to minimize energy losses in traditional distribution networks and microgrids through a network reconfiguration and phase balancing approach. To address this problem, an algorithm composed of a multi-objective function and operation constraints is proposed. Network connection matrices based on graph theory and the backward/forward sweep method are used to analyze power flow. A ...

The paper proposes a self-learning evolutionary multi-agent system for distribution network reconfiguration. The network reconfiguration is modeled as a multi-objective combinational optimization. An autonomous agent-entity cognizes the physical aspects as operational states of the local substation, the agent-entities establish relationship network based on the interactions to provide service. ...