Abstract
This paper presents an optimal network reconfiguration (ONR)/feeder reconfiguration (FRC) approach by considering the total operating cost and system power losses minimizations as objectives. The ONR/FRC is a feasible approach for the enhancement of system performance in distribution systems (DSs). FRC alters the topological structure of feeders by changing the close/open status of the tie and sectionalizing switches in the system. Apart from the power received from the main grid, this paper considers the power from distributed generation (DG) sources such as wind energy generators (WEGs), solar photovoltaic (PV) units, and battery energy storage (BES) units. The proposed multi-objective-based ONR/FRC problem has been solved by using the multi-objective crow search algorithm (MO-CSA). The proposed methodology has been implemented on two (14 bus and 17 bus) distribution systems with three feeders.
Highlights
The power losses in the distribution network are significantly high compared to those in the transmission system due to the high resistance/reactance (R/X) ratio
Apart from the power received from the main grid, this paper considers the power from the distributed generation (DG) units such as wind energy generators (WEGs), solar PV units, and battery energy storage (BES) units
The single objective-based optimal network reconfiguration (ONR)/feeder reconfiguration (FRC) problem has been solved using the crow search algorithm (CSA) and the multi-objective optimization (MOO)-based ONR/FRC problem has been solved by using multi-objective crow search algorithm (MO-CSA)
Summary
The power losses in the distribution network are significantly high compared to those in the transmission system due to the high resistance/reactance (R/X) ratio. The overutilization of fossil fuels causes depletion of fuels and affects the environment [3] To overcome these issues, this work utilizes renewable energy resources (RERs), such as wind energy generators (WEGs), solar PV units, and battery energy storage (BES) units. In [6] proposes an ONR and phase balancing methodology for minimizing the power losses in conventional distribution systems (DSs) and microgrids (MGs) using the particle swarm optimization (PSO) algorithm. Optimal DG allocation and ONR have been presented in [7] to improve the loss profile and voltage stability of the radial distribution systems (RDSs) considering the DGs and probabilistic loads which are operated at varying power factors. An optimal multi-criterion of FRCs with solar PV and wind-based RERs using the weight factor approach considering the reliability has been proposed in [8]. The uncertain nature of wind power (PW) using Weibull PDF can be expressed as [17], f(PW)
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