scholarly journals An Integrated Approach to Optimal Charging Scheduling of Electric Vehicles Integrated with Improved Medium-Voltage Network Reconfiguration for Power Loss Minimization

2020 ◽  
Vol 12 (21) ◽  
pp. 9211 ◽  
Author(s):  
Adil Amin ◽  
Wajahat Ullah Khan Tareen ◽  
Muhammad Usman ◽  
Kamran Ali Memon ◽  
Ben Horan ◽  
...  
Keyword(s):  
Electric Vehicles ◽  
Power Loss ◽  
Distribution Network ◽  
Integrated Approach ◽  
Operational Performance ◽  
Binary Particle Swarm Optimization ◽  
Optimization Approach ◽  
Network Reconfiguration ◽  
Medium Voltage ◽  
Ev Charging

The uncoordinated integration of electric vehicles (EVs) severely deteriorates the operational performance of a distribution network. To optimize distribution network performance in an EV charging environment, this paper presents a two-stage optimization approach, which integrates coordinated EV charging with network reconfiguration. A formulation to minimize system power loss is presented, and an optimal solution is obtained using a binary particle swarm optimization algorithm. The proposed approach is tested on a modified IEEE 33-bus medium-voltage node test system, coupled with a low voltage distribution network. Results of the coordinated and uncoordinated EV charging are compared with those of the developed integrated approach, and the operational performance of the system is studied. The results show that the integration of network reconfiguration with coordinated EV charging significantly decreases network power losses and fairly improves voltage profile. Thus, the proposed strategy can lead to improved operational performance of the system while dealing with the growing penetration of EVs in the network.

Distribution Network Reconfiguration Using an Approximate Optimization Approach

2013 ◽  
Vol 303-306 ◽  
pp. 1276-1279
Author(s):  
Hai Na Rong ◽  
Yan Hui Qin
Keyword(s):  
Evolutionary Algorithm ◽  
Distribution Network ◽  
Operating Conditions ◽  
Distribution Automation ◽  
Optimization Approach ◽  
Network Reconfiguration ◽  
Power Network ◽  
Distribution Network Reconfiguration ◽  
Service Restoration ◽  
Integer Programming Problems

Power network reconfiguration is an important process in the improvement of operating conditions of a power system and in planning studies, service restoration and distribution automation when remote-controlled switches are employed. This paper presents the use of a quantum-inspired evolutionary algorithm to solve the distribution network reconfiguration problem. The quantum- inspired evolutionary algorithm is the combination product of quantum computing and evolutionary computation and is suitable for a class of integer programming problems such as the distribution network reconfiguration problem. After the analysis and formulation of the distribution network reconfiguration problem, the effectiveness and feasibility of the introduced method is verified by a large number of experiments.

scholarly journals ANALISIS RUGI DAYA DAN REKONSILIASI ENERGI JARINGAN DISTRIBUSI TEGANGAN MENENGAH 20 KV PADA PENYULANG NIJANG

2020 ◽  
Vol 4 (3) ◽  
pp. 34-40
Author(s):  
Ahmad Jaya ◽  
Wirentake
Keyword(s):  
Process Simulation ◽  
Power Loss ◽  
Research Method ◽  
Quantitative Research ◽  
Distribution Network ◽  
Power Losses ◽  
Voltage Distribution ◽  
Medium Voltage ◽  
Simulation Process ◽  
Reconciliation Process

This study aims to determine the loss / power loss in the nijang feeder through the energy reconciliation process, simulation of the ETAP 12.6 program, and manual calculations. The benefits of this research can be used as a basis for consideration of the improvement efforts that should be carried out to minimize power losses in the medium voltage distribution network of Nijang feeders. The method used is quantitative research method because it takes data from the measurement of the transaction point which is then compared with the results in the simulation program ETAP 12.6 and manual calculations. The results showed that the power loss (kWh) resulted from 3 processes showed that the energy reconciliation process resulted in a greater power loss, namely 10,657 kWh, the ETAP 12.6 simulation resulted in a power loss of 3049 kWh and in manual calculations it resulted in losses. power of 4199 kWh, from the results of the research it can be seen that in the simulation process ETAP 12.6 and manual calculations only calculate power losses due to technical causes, while the energy reconciliation process includes technical and non-technical causes. It is hoped that this research can support efforts to improve power losses / losses in the PT PLN (Persero) UP3 Sumbawa environment.

Sign in / Sign up

Export Citation Format

Share Document