scholarly journals A Nexus among Reliability Improvement of Distribution System with Optimal Placement and Capacity of Wind-Based Distributed Generation Management

Journal ICTEE ◽  
2021 ◽  
Vol 2 (2) ◽  
pp. 1
Author(s):  
Syahrial Shaddiq
Keyword(s):  
Renewable Energy ◽  
Distributed Generation ◽  
Distribution System ◽  
Minimum Energy ◽  
Electrical Energy ◽  
Optimal Placement ◽  
Flower Pollination Algorithm ◽  
World Population ◽  
Energy Needs ◽  
Alternative Power

Along with the world population growth, the need for a source of electrical energy is higher, so a reliable system with higher capacities is expected. Renewable energy becomes an alternative that supports the goal of reducing the risk of disruption, thus increasing the distribution system’s reliability. A lot of industries and public settlement uses renewable sources of energy as an alternative power supply to comply their energy needs. This research uses wind turbine as a source of renewable energy in the distributed generation (DG). However, the required investment in wind-based DG is commonly considered too costly to deploy and require a proper planning on its placement method. The flower pollination algorithm (FPA) method could be a solution to achieve optimal placement of wind-based DG, thus increase the distribution system’s reliability, which is indicated by minimum energy not supplied (ENS) index.

scholarly journals Optimal Placement of Distributed Generation Units in Radial Distribution System using Hybrid Techniques

2019 ◽  
Vol 9 (2) ◽  
pp. 1682-1688
Keyword(s):  
Distributed Generation ◽  
Radial Distribution ◽  
Distribution System ◽  
Power Loss ◽  
Distribution Network ◽  
Optimal Placement ◽  
Flower Pollination Algorithm ◽  
Binary Particle Swarm Optimization ◽  
Radial Distribution System ◽  
Hybrid Techniques

Reconfiguration is a process that supports to eliminate the power loss from a distribution network and this process have the capability to reduce the losses up to a specific point. Additionally, loss minimization may be calculated through the presentation of Distributed Generation (DG) units. Conversely, the incorporation of DG into the distribution network at an improper position may cause higher in losses and fluctuations in voltage. In the meantime, the uncertainty in voltage may produce partial power failure in the system. For that reason, it is essential to deliberate the stability boundaries in DGs position and sizing in the Radial Distribution System (RDS). In this research paper, hybrid Binary Particle Swarm Optimization (BPSO) with Flower Pollination Algorithm (FPA) is proposed for the ideal reconfiguration process and placing the DG in the 69-bus RDS. BPSO is applied to identify the best DG reconfiguration and FPA is proposed to determine the optimal DG size. This technique narrowly changes the DG location in every load bus of the network that delivers the minimum value of the objective function, which is considered as the finest candidate for DG connection. The simulation outcomes indicate the proposed method is more effective in reducing the power loss from 224.9804 to 27.2183 KW with the reduction of 88.8972% when compared to existing algorithm

Application of Tabu Search for Optimal Placement and Sizing of Distributed Generation for Loss Reduction

2012 ◽  
Vol 433-440 ◽  
pp. 7190-7194 ◽  
Author(s):  
Nattachote Rugthaicharoencheep ◽  
Thong Lantharthong ◽  
Awiruth Ratreepruk ◽  
Jenwit Ratchatha
Keyword(s):  
Tabu Search ◽  
Distributed Generation ◽  
Distribution System ◽  
Power Loss ◽  
Power Flow ◽  
Search Algorithm ◽  
Optimal Placement ◽  
Loss Reduction ◽  
Placement Problem ◽  
Bus Voltage

This paper presents the optimal and sizing of distributed generation (DG) placement in a radial distribution system for loss reduction. The main emphasis of this paper is to identify proper locations for installing DGs in a distribution system to reduce active power loss and improve bus voltages. Nevertheless, proper placement and sizing of DG units are not straightforward to be identified as a number of their positions and capacities need to be determined. It is therefore proposed in this paper to solve a DG placement problem based on a Tabu search algorithm. The objective function of the problem is to minimize the system loss subject to power flow constraints, bus voltage limits, pre specified number of DGs, and their allowable total installed capacity, and only one distributed generator for one installation position. The effectiveness of the methodology is demonstrated by a practical sized distribution system consisting of 69 bus and 48 load points. The results show that the optimal DG placement and sizing can be identified to give the minimum power loss while respecting all the constraints.

Swarm-Intelligence-Based Optimal Placement and Sizing of Distributed Generation in Distribution Network

2018 ◽  
pp. 29-48 ◽  
Author(s):  
Mahesh Kumar ◽  
Perumal Nallagownden ◽  
Irraivan Elamvazuthi ◽  
Pandian Vasant ◽  
Luqman Hakim Rahman
Keyword(s):  
Distributed Generation ◽  
Radial Distribution ◽  
Distribution System ◽  
Voltage Stability ◽  
Reactive Power ◽  
Distribution Network ◽  
Stability Index ◽  
Pso Algorithm ◽  
Distribution Networks ◽  
Optimal Placement

In the distribution system, distributed generation (DG) are getting more important because of the electricity demands, fossil fuel depletion and environment concerns. The placement and sizing of DGs have greatly impact on the voltage stability and losses in the distribution network. In this chapter, a particle swarm optimization (PSO) algorithm has been proposed for optimal placement and sizing of DG to improve voltage stability index in the radial distribution system. The two i.e. active power and combination of active and reactive power types of DGs are proposed to realize the effect of DG integration. A specific analysis has been applied on IEEE 33 bus system radial distribution networks using MATLAB 2015a software.

scholarly journals The Impact of Connecting Distributed Generation to the Distribution System

10.14311/986 ◽  
2007 ◽  
Vol 47 (4-5) ◽  
Author(s):  
E. V. Mgaya ◽  
Z. Müller
Keyword(s):  
Renewable Energy ◽  
Distributed Generation ◽  
Distribution System ◽  
Renewable Energy Sources ◽  
Electric Energy ◽  
Reducing Power ◽  
Effective Capacity ◽  
Voltage Profile ◽  
The Impact

This paper deals with the general problem of utilizing of renewable energy sources to generate electric energy. Recent advances in renewable energy power generation technologies, e.g., wind and photovoltaic (PV) technologies, have led to increased interest in the application of these generation devices as distributed generation (DG) units. This paper presents the results of an investigation into possible improvements in the system voltage profile and reduction of system losses when adding wind power DG (wind-DG) to a distribution system. Simulation results are given for a case study, and these show that properly sized wind DGs, placed at carefully selected sites near key distribution substations, could be very effective in improving the distribution system voltage profile and reducing power losses, and hence could  improve the effective capacity of the system. 

scholarly journals ANALISIS KELAYAKAN TURBIN ANGIN KECEPATAN RENDAH TIPE NT1000W DI WILAYAH TERPENCIL

2019 ◽  
Vol 10 (1) ◽  
pp. 84-93
Author(s):  
Redaksi Tim Jurnal
Keyword(s):  
Renewable Energy ◽  
Wind Speed ◽  
Wind Energy ◽  
Wind Turbine ◽  
Electrical Energy ◽  
Remote Communities ◽  
Low Speed ◽  
Energy Needs ◽  
One Step ◽  
Research Studies

This research discusses the fulfillment of the electricity needs of remote communities that are closely related to electrification ratios. Electrification ratios in some isolated areas and scattered islands in Indonesia are still very low. To date, most of the electricity needs in Indonesia is still supplied by Diesel Power Electricity Generator (PLTD) which uses diesel as its fuel. Therefore, it is necessary the utilization of renewable energy as one step to fulfill the electrical energy needs. This research studies about the utilization of wind energy with PLTB by using low speed wind turbine to fulfill the electricity needs of remote communities and scattered islands in Indonesia. NT1000W is the latest technology of low speed wind turbine that can operate at wind speed of 1 m/d up to 60 m/d appropriate to the wind conditions in Indonesia. Testing conducted in west Sumatera particularly in Padang city and Kapo-Kapo Island provide a feasibility of PLTB NT1000W technically and financially.

scholarly journals POTENSI ENERGI PANAS BUMI, ANGIN, DAN BIOMASSA MENJADI ENERGI LISTRIK DI INDONESIA

2020 ◽  
Vol 22 (2) ◽  
pp. 105
Author(s):  
Nurul Amandha Adistia ◽  
Rizky Aditya Nurdiansyah ◽  
Juno Fariko ◽  
Vincent Vincent ◽  
Joni Welman Simatupang
Keyword(s):  
Renewable Energy ◽  
Literature Review ◽  
Human Resources ◽  
Systematic Literature Review ◽  
Geothermal Energy ◽  
Mineral Resources ◽  
Electrical Energy ◽  
Government Agency ◽  
Energy Needs ◽  
Installed Capacity

The need of energy increases each year. Likewise, the need for electrical energy increased proportionally with the economic development and Indonesian populations. To meet the needs of national electrical energy, the implementation of new and renewable energy is indispensable, such as geothermal energy, wind and biomass. They have substantial potential in Indonesia. This research aims to explore Indonesia’s capacity of new and renewable energy for electrical energy, as well as how much energy that can has already been utilized, and the constraints such as natural and human resources or other factors, to achieve the fulfil the target in 2025 about fulfilment of national electrical energy needs. This research uses Systematic Literature Review (SLR). The data are secondary, which are collected from several journals, research articles, media, and government agency reports, especially the Ministry of energy and mineral resources (ESDM). The result shows that for the installed capacity in the plan for 2019 - 2028, wind energy contributes the highest with 82,76%. Geothermal contributes 25.31%, and biomass contributes 4.92%. In fact, in this year of 2020, new and renewable energy could not meet the government's target. Several factors that impede the development of new and renewable energy, especially the geothermal, wind, and biomass, are funding, bad-coordinated plan, and also the implementation. Additionally, there is COVID-19 pandemic in 2020, and all funds are diverted for the treatment of the pandemic crisis.ABSTRAK:Kebutuhan akan energi terus meningkat seiring dengan bertambahnya waktu. Begitupun kebutuhan energi listrik yang semakin meningkat seiring perkembangan perekonomian dan penduduk Indonesia. Untuk memenuhi kebutuhan energi listrik nasional, maka peran Energi Baru Terbaharukan (EBT) sangat diperlukan, diantaranya panas bumi, angin, dan biomassa. Ketiga energi tersebut memiliki potensi yang cukup besar di Indonesia. Penelitian ini bertujuan untuk mengetahui potensi EBT di Indonesia menjadi energi listrik, serta seberapa besar energi yang sudah dapat dimanfaatkan, dan juga kendala-kendala baik alam maupun sumber daya manusia ataupun faktor lain, agar dapat mencapai target terdekat yaitu di tahun 2025 sebagai pemenuhan kebutuhan listrik negara dari EBT. Penelitian ini menggunakan metode Systematic Literature Review (SLR). Data yang dikumpulkan bersifat data sekunder, yaitu berupa pengumpulan jurnal dan artikel penelitian yang sudah ada, dari media massa, dan laporan dari badan pemerintah, khususnya kementerian ESDM. Berdasarkan hasil analisis kapasitas terpasang terhadap rencana energi tahun 2019 – 2028, energi angin memiliki persentase terbesar yaitu 82,76%, panas bumi sebesar 25,31%, dan biomassa sebesar 4,92%. Pada kenyataannya di tahun 2020 ini, EBT belum bisa mencapai target yang sudah ditetapkan oleh pemerintah. Hal ini dipengaruhi beberapa faktor penghambat kemajuan proyek pembangunan ataupun peningkatan hasil EBT khususnya panas bumi, angin, dan biomassa, seperti pendanaan, perencanaan yang tidak terkoordinasi dengan baik, dan implementasi yang sulit. Selain itu, di tahun 2020 masih terjadi pandemi COVID-19 yang menjadi faktor penghambat karena semua dana dialihkan untuk penanganan krisis pandemi.

scholarly journals Optimal Placement and Sizing of Distributed Generation in Distribution System using Analytical Method

2019 ◽  
Vol 8 (4) ◽  
pp. 6357-6363
Keyword(s):  
Distributed Generation ◽  
Distribution System ◽  
Power Loss ◽  
Distribution Network ◽  
Optimal Placement ◽  
Small Scale ◽  
Voltage Profile ◽  
Distribution Grid ◽  
Step Size ◽  
System Power

The reliability of distribution network can be improved with the penetration of small scale distributed generation (DG) unit to the distribution grid. Nevertheless, the location and sizing of the DG in the distribution network have always become a topic of debate. This problem arises as different capacity of DG at various location can affect the performance of the entire system. The main objective of this study is to recommend a suitable size of DG to be placed at the most appropriate location for better voltage profile and minimum power loss. Therefore, this paper presents an analytical approach with a fixed DG step size of 500 kW up to 4500 kW DG to analyses the effect of a single P-type DG in IEEE 33 bus system with consideration of system power loss and voltage profile. Four scenarios have been selected for discussions where Scenario 1: 3500 kW DG placed at node 3; Scenario 2: 2500 kW DG placed at node 6; Scenario 3: 1000 kW DG placed at node 18 and Scenario 4: 3000 kW DG placed at node 7. Results show that all the four scenarios are able to reduce the power loss and improve the voltage profile however Scenario 4 has better performance where it complies with minimum voltage requirement and minimizing the system power loss.

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