scholarly journals Cost Sustainability Analysis of an Enhanced Distribution Network

2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Oluleke Babayomi ◽  
Sunday Adetona ◽  
Charles Osheku ◽  
Ayodele Opasina
Keyword(s):  
Capital Investment ◽  
Energy Savings ◽  
Distribution Network ◽  
Flow Analysis ◽  
Load Flow ◽  
Solar Pv ◽  
Voltage Profile ◽  
Power Losses ◽  
Load Flow Analysis ◽  
Sustainability Analysis

This study presents the cost sustainability analysis of an enhanced distribution network (DN). In the study, the enhancement of the DN was achieved through network reconfiguration (NR) and the introduction of distributed generation units (DGs) at some locations. When the DN was only reconfigured, the power losses in the network reduced by 23.39 % at 1.0 p.u loading; whereas, the minimum voltage profile in the network improved by 1.79 %. When both reconfiguration and DG were engaged in losses minimization, power losses reduced by 61.94 % at full load, whereas the minimum voltages in the network improved by 7.66 %. When the DN was reconfigured and DGs were embedded at three different locations, the energy losses in the entire network reduced by 61.94 % and 58.37 % at 0.5 and 1.0 loadings respectively; whereas, the minimum voltages in the network improved by 1.21 % and 8.46 % at 0.5 p.u and 1.0 p.u loadings respectively. The information obtained from the load flow analysis was used for the economic analysis of the DN when both reconfigured and three DGs were embedded at different locations of the network. The annual financial energy gains evaluated from the annual energy savings was about $125,000.00, when the DN operated at 100 % loading capacity all year round. The financial savings are sufficient to cover annual operational cost of solar PV DGs; as well as, recovering its capital investment with a payback period of 5 years.

scholarly journals Enhancement of Voltage Profile by Optimal Placement of Distributed Generators with UPFC in Distribution Networks

2019 ◽  
Vol 8 (6) ◽  
pp. 2733-2738 ◽  
Keyword(s):  
Transmission Lines ◽  
Network Reliability ◽  
Distribution Network ◽  
Flow Analysis ◽  
Distribution Networks ◽  
Load Flow ◽  
Optimal Placement ◽  
Voltage Profile ◽  
Load Flow Analysis ◽  
Distributed Generators

The Distributed generation and fast operating power electronic devices are attracting more attention due to their effective solution for improvement in the voltage profile, to meet the increasing power consumption, reduction in the power loss, enhancement in the power transfer capacity of the transmission lines, reducing the overloading of the entire network. The optimal placement of DG and FACTs devices plays key role in improvement of the network reliability and voltage stability. In this paper exhaustive load flow analysis is carried out for optimal placement of DG and UPFC. The proposed method is tested on 40 bus distribution network. The obtained results are satisfactory in terms of improvement in the overall performance of the distribution network.

scholarly journals Optimal sizing and location of distributed generation for loss minimization using firefly algorithm

2019 ◽  
Vol 14 (1) ◽  
pp. 421 ◽  
Author(s):  
Muhamad Najib Kamarudin ◽  
Tengku Juhana Tengku Hashim ◽  
AbdulHamid Musa
Keyword(s):  
Distributed Generation ◽  
Radial Distribution ◽  
Power Distribution ◽  
Firefly Algorithm ◽  
Distribution Network ◽  
Flow Analysis ◽  
Test System ◽  
Load Flow ◽  
Voltage Profile ◽  
Load Flow Analysis

<span>Distributed generation (DG) plays an important role in improving power quality as well as system realibility. As the incorporation of DG in the power distribution network creates several problems to the network operators, locating a suitable capacity and placement for DG will essentially help to improve the quality of power delivery to the end users. This paper presents the simulation of an application of firefly algorithm (FA) for optimally locating the most suitable placement and capacity of distributed generation (DG) in IEEE 33-bus radial distribution network. This strategy aims at minimizing losses together with improving the voltage profile in distribution network. The losses in real power and voltages at each bus are obtained using load flow analysis which was performed on an IEEE 33-bus radial distribution network using forward sweep method.  The proposed method comprises of simulation of the test system with DG as well as in the absence of DG in the system. </span><span>A comparison between the Firefly Algorithm (FA) with Genetic Algorithm (GA) is also demonstrated in this paper. The results obtained have proven that the Firefly Algorithm has a better capability at improving both the voltage profile and the power losses in the system.</span>

scholarly journals STUDI RUGI DAYA SISTEM KELISTRIKAN BALI AKIBAT PERUBAHAN KAPASITAS PEMBANGKITAN DI PESANGGARAN

2015 ◽  
Vol 14 (2) ◽  
pp. 39
Author(s):  
I P. A. Edi Pramana ◽  
W. G. Ariastina ◽  
I. W. Sukerayasa
Keyword(s):  
Peak Load ◽  
Flow Analysis ◽  
Load Flow ◽  
Power Losses ◽  
Electrical Transmission ◽  
Electrical Systems ◽  
Load Flow Analysis ◽  
Electricity System ◽  
Power And Energy ◽  
Plant Capacity

In the years of 2014 until 2015 Pesangaran plant capacity undergo changes due to the expiration of employment contract lease diesel units and also the addition of new plant unit of 200 MW PLTMG. An increase or reduction in plant capacity of electrical system Bali will lead to significant changes to the load flow, power losses and energy losses in the circuit of Bali electrical Transmission system. Load flow analysis and power losses in Bali electricity system is simulated in five scenarios. Scenario 1 for the conditions of existing in 2014, scenario 2 is currently experiencing a reduction Pesanggaran plant capacity in December 2014, scenario 3 is currently experiencing Pesanggaran plant capacity additions in 2015 by using a peak load of 2014, scenario 4 is the scenario 3 with using predicted peak load in 2015, and scenario 5 is the scenario 4 with assuming the Celukan Bawang plant operates at 130 MW. Based on the results obtained by analysis, scenario 2 has the most power and energy loss about 46.34 MW and 300.39 GWh. For the loss of power and energy Bali electrical systems after Pesanggaran plants changes in 2015 are 38.57 MW and 250.05 GWh.

INFLUENCE OF THE DISTRIBUTED GENERATION ON THE POWER QUALITY IN DISTRIBUTION NETWORK

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Alma Halilović ◽  
Lejla Mujanović ◽  
Jasna Hivziefendić ◽  
Keyword(s):  
Power Quality ◽  
Distributed Generation ◽  
Distribution Network ◽  
Flow Analysis ◽  
Test System ◽  
Load Flow ◽  
Network Modelling ◽  
Distributed Generator ◽  
Load Flow Analysis ◽  
Harmonic Voltage

The aim of this paper is to present and discuss the influence of distributed generation on power quality. Nowadays, interest in power quality has increased since it has become a very important issue in power system delivery. One of the major problems of ensuring a certain level of power quality are harmonics. The aim of this project is to investigate an impact of photovoltaic (PV) on harmonic voltage distortion (HD) in real MV distribution network. Different scenarios will be implemented where solar power plant is going to be modelled with high variability of load and generation to see their effects on the systems power quality (PQ). Those scenarios are when PV is disconnected from the grid and PVs are connected with 2 different powers. Results presented below showed that PV improves power quality of the system, because their inverters are source of harmonics and they increase HD. However, that impact is not very significant and harmonic limits are not violated. A load flow analysis is done for the model of test system 110/35/10kV in which a distributed generator is added, that is on-grid or off-grid. The network modelling and simulation is done in DIgSILENT PowerFactory software.

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