A new hybrid algorithm for solving distribution network reconfiguration under different load conditions

Abstract

<p>Distribution Network Reconfiguration (DNR) is a significant problem for<br />keeping the network running under normal conditions. In this study, for<br />preventing the premature convergence issue, also to improving the searching<br />ability of the Binary Particle Swarm Optimization (BPSO) algorithm, chaotic<br />strategy is incorporating with BPSO algorithm to create a new hybrid<br />algorithm called Chaotic BPSO (CBPSO). Undeniably, the chaotic strategy<br />enables the hybrid CBPSO algorithm to slip from the local optima and also to<br />reach optimal solution in fewer number of iterations compare to BPSO due to<br />the remarkable behavior and ergodic of the chaos strategy than random<br />search in BPSO algorithm. The CBPSO algorithm is presented as a<br />advantageous optimization tool for solving DNR. In this problem, decreasing<br />of real power loss () is an objective function while node voltage, system<br />radially and line current have been utilized as a constrains of the system. The<br />search space in this problem for the presented technique is a group of lines<br />(switches) that are normally opened or closed. Two types of loads are<br />presented: the constant and variable loads for testing the efficacy of the<br />CBPSO method for tackling DNR problem when the load is changes. The<br />proposed technique is implemented on IEEE Node system by utilizing<br />R2013b software for verifying the efficacy of CBPSO technique. The<br />simulation results confirm that technique has high ability in reducing and<br />raising the voltage profile of the grid compared to and other procedures in<br />the literature.</p>

Restoration of the service and loss minimization in electrical distribution systems

“…𝐼𝑓 𝑓(𝑥 𝑖 ) < 𝑓(𝑥 ℎ 𝑖 ). Based on the unconventional dance component d outlined in (17), male mayflies alter their velocity depending on their actual status.…”

An effective network reconfiguration approach of radial distribution system for loss minimization and voltage profile improvement

“…Standard algorithms such as Newton-Raphson method of load flows can be used with transmission systems. But due to weak reactance to resistance ratio of the distribution system, convergence rate of such algorithms is very slow [14], [15]. Distribution system load flows are developed to get used in weak reactance to resistance ratio systems.…”

Optimal distributed generation placement using artificial intelligence for improving active radial distribution system

“…Kennedy and Eberhart were first enhanced and developed this algorithm in 1995 [21], [22]. Each individual in the PSO algorithm has local best position (𝑃 𝑏𝑒𝑠𝑡 ), and global best position (𝐺 𝑏𝑒𝑠𝑡 ) [23]. The velocity (𝑉 𝑖 ) and position (𝑋 𝑖 ) from 𝑃 𝑏𝑒𝑠𝑡 to 𝐺 𝑏𝑒𝑠𝑡 of the agents will be changed by utilizing in ( 7) and ( 8) [24], [25].…”