OPTIMUM ALLOCATION OF DISTRIBUTED GENERATION BY LOAD FLOW ANALYSIS METHOD: A CASE STUDY

2014 ◽  
Vol 03 (05) ◽  
pp. 288-295
Author(s):  
Wasim Nidgundi .
Keyword(s):  
Distributed Generation ◽  
Flow Analysis ◽  
Load Flow ◽  
Optimum Allocation ◽  
Analysis Method ◽  
Load Flow Analysis

scholarly journals Minimization of transmission loss using distributed generation approach

2018 ◽  
Vol 9 ◽  
pp. A1
Author(s):  
Chaantrea Miky Lamin ◽  
Arvind Kumar Singh
Keyword(s):  
Distributed Generation ◽  
Transmission Loss ◽  
Flow Analysis ◽  
Load Flow ◽  
Type Model ◽  
Power System Simulation ◽  
Analysis Method ◽  
Loss Minimization ◽  
Load Flow Analysis ◽  
Distributed Generators

The goal of this work is to calculate the total loss in the system and minimize this loss by implementation of distributed generation (DG) technology. In this paper, load flow analysis method is followed to calculate the loss in the system in conjunction with the line flows. A simple 5 bus system with the main bus of the substation as the slack bus, three Plant generators at the generator bus and three load buses are taken for analysis. For loss minimization two distributed generators at two load buses are connected. One generator is a synchronous type model and the other is asynchronous type model. We searched for the most economical penetration level and the ratings of the distributed generators are decided by the magnitude of penetration power at each load bus. Using software, power system simulation for electrical (PSSE), the system with and without DG technology is modeled and the output from the PSSE is observed.

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.

scholarly journals Analisa Pengaruh Pemasangan Distributed Generation Terhadap Profil Tegangan Pada Penyulang Abang Karangasem

2017 ◽  
Vol 16 (3) ◽  
pp. 79
Author(s):  
I Nyoman Cita Artawa ◽  
I Wayan Sukerayasa ◽  
Ida Ayu Dwi Giriantari
Keyword(s):  
Distributed Generation ◽  
Flow Analysis ◽  
Load Flow ◽  
Voltage Profile ◽  
Load Flow Analysis

Salah satu teknik untuk memperbaiki jatuh tegangan adalah dengan pemasangan (DG) Distributed Generation. Salah satu teknologi Distributed Generation yang ada di Bali adalah PLTS Kubu Karangasem merupakan jenis pembangkit listrik dengan skala kecil yang memanfaatkan energy terbarukan untuk menghasilkan energi listrik dengan daya yang dihasilkan 1 MW. Dari hasil analasis menggunakan Load Flow Analysis Voltage Profile diperoleh hasil drop tegangan maksimum saat tidak terhubung DG sebesar 13,23 % dan saat terhubung DG diperoleh drop tegangan sebesar 10,85%. Dengan adanya interkoneksi DG pada Penyulang Abang maka terjadi penurunan rugi-rugi daya sebesar 10,23 % dari total rugi-rugi daya yang terjadi sebelum terhubung dengan DG pada Penyulang Abang

scholarly journals OPTIMASI INTERKONEKSI DISTRIBUTED GENERATION (DG) PENYULANG PAYOGAN MENGGUNAKAN METODE GENETIC ALGORITHMS (GA) UNTUK MEMPERBAIKI DROP TEGANGAN

2019 ◽  
Vol 6 (1) ◽  
pp. 10
Author(s):  
I Kadek Adiasa ◽  
Ngakan Putu Satriya Utama ◽  
I Nyoman Setiawan
Keyword(s):  
Genetic Algorithms ◽  
Distributed Generation ◽  
Flow Analysis ◽  
Load Flow ◽  
Load Flow Analysis

Distributed Generation (DG) merupakan pembangkit listrik skala kecil yang umumnya terhubung langsung dengan jaringan distribusi dan dekat dengan pusat beban. Penyulang Payogan merupakan salah satu penyulang yang dekat dengan potensi DG yaitu berupa Pembangkit Listrik Tenaga Mikro Hidro (PLTMH) sungai Ayung yang berada di Wilayah Ubud. Penelitian ini tentang optimasi interkoneksi Distributed Generation ke penyulang Payogan. Tujuan penelitian ini adalah untuk mengetahui pengaruh interkoneksi Distributed Generation pada jaringan distribusi tenaga listrik dan untuk memperbaiki drop tegangan penyulang Payogan menggunakan load flow analysis. Berdasarkan penelitian yang telah dilakukan diperoleh hasil sebelum pemasangan Distributed Generation drop tegangan pada bus 109 sebesar 1,80 V, bus 111 sebesar 1,49 V, bus 113 sebesar 2,56 V dan bus 115 sebesar 2,40 V. Setelah PLTMH dioptimasi menggunakan metode Genetic Algorithms diperoleh hasil pada Bus 107. Dengan kapasitas PLTMH sebesar 2,34 MW berhasil memperbaiki tegangan penyulang Payogan sebesar 0,05%, sehingga drop tengangan pada bus 109 menjadi 1,76 V, bus 111 menjadi 1,45 V, bus 113 menjadi 2,49 V dan bus 115 menjadi 2,35 V.Kata Kunci:Drop Tegangan, Load Flow Analysis, Genetic Algorithms

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>

Sign in / Sign up

Export Citation Format

Share Document