A Distribution Network Reconfiguration based on PSO: Considering DGs sizing and allocation evaluation for voltage profile improvement

Abstract

The optimized network reconfiguration and Distributed Generations (DG) sizing with allocation instantaneously via Particle Swarm Optimization (PSO) proposed a new way of allocation DG based on low voltage profile. This method consists of three steps. It started with categorized the switching sequences for radial network configuration while observe the P losses and the profile of voltage without DG. The second step is reconfiguration feeder for reduce losses via DGs allocation based on substations geographical location. The final step is sizing and allocation DGs at each bus with low voltage profile produced from the first step, used to mend the voltage profile and minimize the Plosses also compared the result with the geographical based allocation results. The objective of this study is to mend the voltage profile while decreasing the Plosses by using optimization technique considering network reconfiguration, DGs Sizing and allocation concurrently. Four cases are compared which is case 1 is the initial case and taken as a reference. All three stages are tested on standards IEEE 33 bus system by using Particle Swarm Optimization (PSO) technique in MATLAB software. This method proved that improvement of Plosses and voltage profile has been made by change of the switching topology with DGs sizing and allocation technique respectively.

Distribution network reconfiguration in smart grid system using modified particle swarm optimization

“…Fig.9 shows the convergence characteristic for the proposed algorithm. [25][26] are recalculated using python/IPSA, and the results are illustrated in table 3. The suggested MPSO, which is based on a filtered random position selection surpass the typical swarm used in both [25], [26] not only in losses reduction, but also in the excitation time.…”

“…[25][26] are recalculated using python/IPSA, and the results are illustrated in table 3. The suggested MPSO, which is based on a filtered random position selection surpass the typical swarm used in both [25], [26] not only in losses reduction, but also in the excitation time. MPSO saved 56.7 KW of losses during 17.5 seconds compared to 43.2 KW of losses reduction by the typical swarm in [25] during 25 seconds.…”

“…The suggested MPSO, which is based on a filtered random position selection surpass the typical swarm used in both [25], [26] not only in losses reduction, but also in the excitation time. MPSO saved 56.7 KW of losses during 17.5 seconds compared to 43.2 KW of losses reduction by the typical swarm in [25] during 25 seconds. Also, the proposed algorithm MPSO, achieved more losses reduction than Binary Particle Swarm used in [35], and suggest the same tie switches given by Selective Particle Swarm (SPSO) in [33], achieving the same losses reduction.…”

Impact of PV Distributed Generation on Loop Distribution Network

“…DG will not be efficient unless the generators are suitable and safe to be installed in distribution network, where the huge power generators cannot be erected and installed. DG can be defined as a small scale technology used to provide source of active power, where it can be located near end-user or near to the loads in the network [1].…”

Optimal reactive power compensation in electrical distribution systems with distributed resources. Review

“…The main objective of electricity distribution grids is to transport electric energy to end users with required standards of efficiency, quality and reliability, which requires minimizing energy losses and improving transport processes [1] . Reactive power compensation is one of the well-recognized methods for its contribution to the reduction of energy losses, along with other benefits; Such as power factor correction, increase of the transport and operation capacity of lines and devices of the grid, voltage stability and improvement of the voltage profile, all of them subject to different operating restrictions [ 2 , 3 , 4 , 5 ]. The proper integrated control of the reactive power flows and of the voltage profile in distribution grids has become a very serious problem of complex solution, due to the characteristics of the distribution grids.…”