Planning of Distribution System with High Penetration Level for Distributed Generation in Smart Grid

2018 ◽  
Vol 8 (3) ◽  
Author(s):  
Reza Tajik
Keyword(s):  
Smart Grid ◽  
Power Systems ◽  
Power Distribution ◽  
Distribution System ◽  
Distribution Systems ◽  
Distribution Networks ◽  
Planning Problem ◽  
Renewable Energy Resources ◽  
Power Distribution System ◽  
High Penetration

Nowadays, the utilization of renewable energy resources in distribution systems (DSs) has been rapidly increased. Since distribution generation (DG) use renewable resources (i.e., biomass, wind and solar) are emerging as proper solutions for electricity generation. Regarding the tremendous deployment of DG, common distribution networks are undergoing a transition to DSs, and the common planning methods have become traditional in the high penetration level. Indeed, in conformity with the voltage violation challenge of these resources, this problem must be dealt with too. So, due to the high penetration of DG resources and nonlinear nature of most industrial loads, the planning of DG installation has become an important issue in power systems. The goal of this paper is to determine the planning of DG in distribution systems through smart grid to minimize losses and control grid factors. In this regard, the present work intending to propose a suitable method for the planning of DSs, the key properties of DS planning problem are evaluated from the various aspects, such as the allocation of DGs, and planning, and high-level uncertainties. Also depending on these analyses, this universal literature review addressed the updated study associated with DS planning. In this work, an operational design has been prepared for a higher performance of the power distribution system in the presence of DG. Artificial neural network (ANN) has been used as a method for voltage monitoring and generation output optimization. The findings of the study show that the proposed method can be utilized as a technique to improve the process of the distribution system under various penetration levels and in the presence of DG. Also, the findings revealed that the optimal use of ANN method leads to more controllable and apparent DS.

scholarly journals Technologies used in Smart Grid to implement Power Distribution System

2015 ◽  
Vol 16 (2) ◽  
pp. 232
Author(s):  
Raja Masood Larik ◽  
Mohd Wazir Mustafa
Keyword(s):  
Smart Grid ◽  
Power Systems ◽  
Power Distribution ◽  
Distribution System ◽  
Smart Grids ◽  
Distribution Systems ◽  
New Technologies ◽  
Power Distribution Systems ◽  
Grid Systems ◽  
Power Distribution System

<span style="line-height: 107%; font-family: 'Arial',sans-serif; font-size: 9pt; mso-fareast-font-family: Calibri; mso-fareast-theme-font: minor-latin; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;" lang="EN-US">Recently, the debate has been going on about the role of power plus distribution systems, its technologies for future smart grids in power systems. The emerging of new technologies in smart grid and power distribution systems provide a significant change in terms of reduction the commercial and technical losses, improve the rationalization of electricity tariff. The new technologies in smart grid systems have different capabilities to increase the technological efficiency in power distribution systems. These new technologies are the foreseeable solution to address the power system issues. This paper gives a brief detail of new technologies in smart grid systems for its power distribution systems, benefits and recent challenges. The paper provides a brief detail for new researchers and engineers about new technologies in smart grid systems and how to change traditional distribution systems into new smart systems.</span>

scholarly journals A Game-Theoretic Loss Allocation Approach in Power Distribution Systems with High Penetration of Distributed Generations

Mathematics ◽  
2018 ◽  
Vol 6 (9) ◽  
pp. 158
Author(s):  
Farzaneh Pourahmadi ◽  
Payman Dehghanian
Keyword(s):  
Power Systems ◽  
Power Distribution ◽  
Distribution System ◽  
Distribution Systems ◽  
Power Distribution Systems ◽  
Loss Allocation ◽  
Distributed Generators ◽  
High Penetration ◽  
Game Theoretic ◽  
Allocation Approach

Allocation of the power losses to distributed generators and consumers has been a challenging concern for decades in restructured power systems. This paper proposes a promising approach for loss allocation in power distribution systems based on a cooperative concept of game-theory, named Shapley Value allocation. The proposed solution is a generic approach, applicable to both radial and meshed distribution systems as well as those with high penetration of renewables and DG units. With several different methods for distribution system loss allocation, the suggested method has been shown to be a straight-forward and efficient criterion for performance comparisons. The suggested loss allocation approach is numerically investigated, the results of which are presented for two distribution systems and its performance is compared with those obtained by other methodologies.

A Survey on Smart Grid Distributed Power Flow: IEC61850, IEC 61499 and Intelligent Controls

2014 ◽  
Vol 573 ◽  
pp. 346-351
Author(s):  
G.S. Satheesh Kumar ◽  
Chinnadurai Nagarajan ◽  
M. Lizzy Nesa Bagyam
Keyword(s):  
Renewable Energy ◽  
Smart Grid ◽  
Power Distribution ◽  
Distribution System ◽  
Distribution Systems ◽  
Greenhouse Gas Emission ◽  
Energy Resources ◽  
Renewable Energy Resources ◽  
Reconfigurable Software ◽  
Iec 61499

A Recent concept of distribution infrastructure plays a vital role in the efficient utilization of energy. To avoid global warming and greenhouse gas emission, carbon based power plant should be replaced with distributed renewable energy (DRE) such as wind, solar etc. Renewable energy resources can be integrated to grid by intelligent electronic devices (IED). This paper deals with the novel automation architecture that supports power distribution systems to avoid power blackout and also it briefs the major requirement of the smart grid distribution system needed for a competitive world. International standard IEC 61850 and IEC 61499 provides a solution for substation automation through intelligent logical nodes (ILNs) which enhances interoperability and configurability.Later an open source platform is used for enhancing the communication that automatically generates the data model and communication nodes for intelligent electronic devices.However for future requirements in smart grid, the addition of new functions as well as the adaptation of function for IEDs is necessary. A concept of reconfigurable software architecture is introduced for integrating distributed and renewable energy resources. Such interfaces and services provide adaptation of the functional structure and contribute efficient Smart Grid system. This survey summarizes the communication infrastructure of smart energy system.

scholarly journals Probability-Based Customizable Modeling and Simulation of Protective Devices in Power Distribution Systems

Energies ◽  
2021 ◽  
Vol 15 (1) ◽  
pp. 199
Author(s):  
Chengwei Lei ◽  
Weisong Tian
Keyword(s):  
Power Systems ◽  
Power Distribution ◽  
Distribution System ◽  
Distribution Systems ◽  
Short Circuit ◽  
Current Data ◽  
System Level ◽  
Power Distribution Systems ◽  
Power Distribution System ◽  
Protective Devices

Fused contactors and thermal magnetic circuit breakers are commonly applied protective devices in power distribution systems to protect the circuits when short-circuit faults occur. A power distribution system may contain various makes and models of protective devices, as a result, customizable simulation models for protective devices are demanded to effectively conduct system-level reliable analyses. To build the models, thermal energy-based data analysis methodologies are first applied to the protective devices’ physical properties, based on the manufacturer’s time/current data sheet. The models are further enhanced by integrating probability tools to simulate uncertainties in real-world application facts, for example, fortuity, variance, and failure rate. The customizable models are expected to aid the system-level reliability analysis, especially for the microgrid power systems.

scholarly journals Development of an Integrated Power Distribution System Laboratory Platform Using Modular Miniature Physical Elements: A Case Study of Fault Location

Energies ◽  
2019 ◽  
Vol 12 (19) ◽  
pp. 3780 ◽  
Author(s):  
Jinrui Tang ◽  
Binyu Xiong ◽  
Chen Yang ◽  
Cuilan Tang ◽  
Yang Li ◽  
...  
Keyword(s):  
Power Distribution ◽  
Distribution System ◽  
Distribution Systems ◽  
Fault Location ◽  
Renewable Energy Sources ◽  
Distribution Networks ◽  
Power Distribution System ◽  
Zero Sequence ◽  
Assembly Technology ◽  
Physical Elements

The main shortcomings of the software-based power engineering education are a lack of physical understanding of phenomena and hands-on experience. Existing scaled-down analogous educational power system platforms cannot be widely used for experiments in universities due to the high cost, complicated operation, and huge size. An integrated power distribution system laboratory platform (PDSLP) using modular miniature physical elements is proposed in this paper. The printed circuit board (PCB) and microelectronic technology are proposed to construct each physical element. Furthermore, the constructed physical elements are used to set up an integrated PDSLP based on modular assembly technology. The size of the proposed cost-efficient PDSLP is significantly reduced, and the reliability of the proposed PDSLP can be improved greatly because the signal transmission path is shortened and a number of welding points are reduced. A PDSLP for fault location in neutral non-effectively grounded distribution systems (NGDSs) is selected as a typical experimental scenario and one scaled-down distribution network with three feeders is subsequently implemented and discussed. The measured zero-sequence currents by our proposed PDSLP when a single-phase earth fault occurred can reveal the true features of the fault-generated signals, including steady-state and transient characteristics of zero-sequence currents. They can be readily observed and used for students to design corresponding fault location algorithms. Modular renewable energy sources and other elements can be designed, implemented and integrated into the proposed platform for the laboratory education of the active distribution networks in the future.

scholarly journals Modeling of Lightning Strike Events, and it’s Correlational with Power Outages in South-West Coast, Nigeria

2017 ◽  
Vol 7 (6) ◽  
pp. 3262 ◽  
Author(s):  
Melodi A. O. A. O. ◽  
Olayinka Matthew Oyeleye
Keyword(s):  
Power Systems ◽  
Power Distribution ◽  
Distribution System ◽  
Distribution Network ◽  
Distribution Networks ◽  
Lightning Strike ◽  
Power Outages ◽  
Lightning Strikes ◽  
Power Distribution System ◽  
Review Management

This paper aimed to model lightning strike events and evaluate its correlation with power outages in a Nigerian power distribution system. A specified coastal distribution network of southwest Nigeria was selected as a case study. Zone-specific records of cloud-to-ground lightning strikes for 84 months were obtained from the Nigerian Meteorological Agency (NiMet); records of power outage frequencies and durations for 36 months were obtained at the substations of the selected distribution network. Using numerical statistical analysis techniques, lightning activity in the system area were characterized in relative frequency terms, and correlation statistics were evaluated and analyzed for power outages and lightning events on the 11kV, 33kV, and 132kV voltage levels. An analysis of the results shows that the modelled lightning strike events patterns are closely related but the expected frequencies vary from one zone to another; and there is correlation between lightning strike and power outages in the distribution networks, which is strong and positive at the 33 kV and 132 kV circuits. In essence, the results provided salient information, useful for power systems lightning protection review, management and planning in the area.

scholarly journals Probabilistic Hosting Capacity Enhancement in Non-Sinusoidal Power Distribution Systems Using a Hybrid PSOGSA Optimization Algorithm

Energies ◽  
2019 ◽  
Vol 12 (6) ◽  
pp. 1018 ◽  
Author(s):  
Sherif Ismael ◽  
Shady Abdel Aleem ◽  
Almoataz Abdelaziz ◽  
Ahmed Zobaa
Keyword(s):  
Optimization Algorithm ◽  
Power Distribution ◽  
Distribution System ◽  
Distribution Systems ◽  
Search Algorithm ◽  
Gravitational Search Algorithm ◽  
Harmonic Distortion ◽  
Power Distribution System ◽  
Hybrid Particle Swarm Optimization ◽  
High Penetration

The high penetration of distributed generation (DG) units with their power-electronic interfaces may lead to various power quality problems, such as excessive harmonic distortions and increased non-sinusoidal power losses. In this paper, the probabilistic hosting capacity (PHC) due to the high penetration of photovoltaic units in a non-sinusoidal power distribution system is investigated. A C-type harmonic filter is proposed, to maximize the harmonic-constrained PHC. An optimization problem is formulated by using a Monte Carlo simulation, taking into account various uncertain parameters, such as the intermittent output power of the DGs, background voltage harmonics, load alteration, and the filter parameters’ variations. In addition, different operational constraints have been considered, such as the bus voltage, line thermal capacity, power factor, and individual and total harmonic distortion limits. A swarm-based, meta-heuristic optimization algorithm known as the hybrid particle swarm optimization and gravitational search algorithm (PSOGSA) has been examined for the optimal design of the proposed filter. Besides, other optimization algorithms were examined for validation of the solution. The PHC results obtained are compared with the conventional deterministic HC (DHC) results, and it is found that the PHC levels are higher than those obtained by conservative HC procedures, practical rules of thumb, and the DHC approaches.

scholarly journals Modeling and recognition of faults in smart distribution grid using maching intelligence technique

2018 ◽  
Author(s):  
◽  
Adeniyi Kehinde Onaolapo
Keyword(s):  
Power Systems ◽  
Power Distribution ◽  
Distribution Systems ◽  
Electrical Power ◽  
Distribution Networks ◽  
Power Distribution Networks ◽  
Data Set ◽  
Power Distribution System ◽  
Fault Recognition ◽  
Ann Models

Electrical power systems experience unforeseen faults attributable to diverse arbitrary reasons. Unanticipated failures occurring in power systems are to be prevented from propagating to other parts of the protective system to enhance economic efficacy of electric utilities and provide better service to energy consumers. Since most consumers are directly connected to power distribution networks, there is an increasing research efforts in distribution network fault recognition and fault-types identifications to solve the problem of outages due to faults. This study focuses on fault recognition and fault-types identification in electrical power distribution system based on the Design Science Research (DSR) approach. Diverse simulations of fault types at different locations were applied to the IEEE 13 Node Test Feeder to produce three phase currents and voltages as data set for this study. This was realized by modelling the IEEE 13-node benchmark test feeder in MATLAB-Simulink R2017a. In order to achieve intelligent fault recognition and fault-type identification, different Multi-layer Perceptron Artificial Neural Networks (MLP-ANN) models were designed and subsequently trained using the generated dataset with the Neural Network toolbox in MATLAB R2017a. The fault recognition task verifies if a fault occurs or not while the fault-types identification task determines the fault class as well as the faulty phase(s). Results obtained from the various MLP-ANN models were recorded and statistically analyzed. Acceptable performances were obtained for fault recognition with the 6-25-20-15-1 MLP-ANN architecture, for fault-types identification with the 6-40-4 MLP-ANN architecture and for fault location with the 6-30-15-5-4 MLP-ANN architecture. Given the result obtained in this study, MLP-ANN is adjudged suitable for intelligent fault recognition and fault-types identification in power distribution systems. The trained MLP-ANNs in this study could ultimately be incorporated in power distribution networks within South Africa and beyond in order to enhance energy customers’ satisfaction.

scholarly journals Complete power distribution system representation and state determination for fault location

DYNA ◽  
2015 ◽  
Vol 82 (192) ◽  
pp. 141-149 ◽  
Author(s):  
Andres Felipe Panesso-Hernández ◽  
Juan Mora-Flórez ◽  
Sandra Pérez-Londoño
Keyword(s):  
Power Distribution ◽  
Distribution System ◽  
Distribution Systems ◽  
Fault Location ◽  
Estimation Error ◽  
Distance Estimation ◽  
Power Distribution Systems ◽  
Line Load ◽  
Power Distribution System ◽  
Line Section

<p>The impedance-based approaches for fault location in power distribution systems determine a faulted line section. Next, these require of the estimation of the voltages and currents at one or both section line ends to exactly determine the fault location. It is a challenge because in most of the power distribution systems, measurements are only available at the main substation.  This document presents a modeling proposal of the power distribution system and an easy implementation method to estimate the voltages and currents at the faulted line section, using the measurements at the main substation, the line, load, transformer parameters and other serial and shunt connected devices and the power system topology. The approach here proposed is tested using a fault locator based on superimposed components, where the distance estimation error is lower than 1.5% in all of the cases. </p>

scholarly journals Configurations of Aromatic Networks for Power Distribution System

2020 ◽  
Vol 12 (10) ◽  
pp. 4317
Author(s):  
K. Prakash ◽  
F. R. Islam ◽  
K. A. Mamun ◽  
H. R. Pota
Keyword(s):  
Power Distribution ◽  
Distribution System ◽  
Smart Grids ◽  
Sustainable Energy ◽  
Distribution Network ◽  
Geographical Location ◽  
Distribution Networks ◽  
Self Healing ◽  
Power Distribution System ◽  
Improve Energy Efficiency

A distribution network is one of the main parts of a power system that distributes power to customers. While there are various types of power distribution networks, a recently introduced novel structure of an aromatic network could begin a new era in the distribution levels of power systems and designs of microgrids or smart grids. In order to minimize blackout periods during natural disasters and provide sustainable energy, improve energy efficiency and maintain stability of a distribution network, it is essential to configure/reconfigure the network topology based on its geographical location and power demand, and also important to realize its self-healing function. In this paper, a strategy for reconfiguring aromatic networks based on structures of natural aromatic molecules is explained. Various network structures are designed, and simulations have been conducted to justify the performance of each configuration. It is found that an aromatic network does not need to be fixed in a specific configuration (i.e., a DDT structure), which provides flexibility in designing networks and demonstrates that the successful use of such structures will be a perfect solution for both distribution networks and microgrid systems in providing sustainable energy to the end users.

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