Multi-objective Optimization of Afghanistan Kabul City Distribution Network for Real-time Voltage Control and Power Loss Reduction

Ahmad Samim Noorzad,Tomonobu Senjyu

doi:10.13189/ujes.2017.050103

Abstract

Afghanistan Kabul City Distribution System (KDS) is functioning in adverse condition, and there is always programmed or un-programmed load shedding imposed by the Power Distribution Company. There are four indicators to be optimized for the sustainability of KDS, power loss reduction, stability, reliability, preservation and protection. In this paper, the optimization of power loss reduction and optimal voltage control of Kabul Distribution System (KDS) in the presence of Distributed Generation (DG) and Step-Voltage Regulator (SVR) connected to the network is proposed. In particular, Kabul city has plentiful sources of renewable energy such as Photovoltaic (PV) and wind power as a countermeasure for diminishing the losses of the system. The Multi-Objective Particle Swarm Optimization (MOPSO) based on two objective functions regarding hourly power loss reduction and voltage profile improvement of the distribution network is considered. The application of PV as DG in distribution system regarding their optimal number, size, and location justifies as loss reduction, reducing the entire grid peak demand and minimizing the congestion of the network. However, the optimized tap ratios and position of SVR are treats to enhance and stabilize the voltage prole and to control the violation of the system voltage according to load conditions. The 24 hours technical data of the practically functioning Kabul city Distribution System Junction Station II are used as a case study. Finally, the proposed algorithm has been simulated using MATLAB® software, and the results are presented.

Highlights

Kabul City is growing rapidly regarding population and regarding infrastructure and economic devel-the distribution model, power flow results of the network and the problem formulation for optimization are introduced
The optimal six number of Distributed Generation (DG) and Step-Voltage Regulator (SVR) are determined located in various positions of the system
The optimal allocation of DGs are in bus number 10, 23, 84, 99, 111 and 148 as well as SVRs are optimally located in branches 9, 22, 84, 99, 111 and 149

Summary

Introduction

The power flow analysis of the system based on the ForwardBackward Sweep Algorithm has already been executed, where the primary node was set as a slack bus on the Junction Station II. We demonstrate the actual 158 bus system as a base case voltage profile in this paper. From this figure, it is evident that the functionality of the network is bellowed the standards, where the minimum 0.83pu voltage is measured at bus number 111 during peak hour (i.e. 7 o’clock).

Methods

Results

Conclusion