Requirements of the power system architecture for using the next generation of smart telecom power distribution systems in combination with solid state hypride circuit breakers

Intelec 2010 ◽  
2010 ◽  
Author(s):  
Richard Mehl
Keyword(s):  
Solid State ◽  
Power System ◽  
System Architecture ◽  
Power Distribution ◽  
Distribution Systems ◽  
Power Distribution Systems ◽  
Next Generation ◽  
Circuit Breakers

scholarly journals Flexibility Enhancement in an Islanded Distribution Power System by Online Demand-Side Management

2019 ◽  
Vol 217 ◽  
pp. 01020 ◽  
Author(s):  
Margarita Chulyukova ◽  
Nikolai Voropai
Keyword(s):  
Power System ◽  
Power Distribution ◽  
Distribution System ◽  
Distribution Systems ◽  
Load Shedding ◽  
Load Management ◽  
Daily Maximum ◽  
Power Distribution Systems ◽  
Power Distribution System ◽  
Islanded Operation

The paper considers the possibilities of increasing the flexibility of power distribution systems by real-time load management. The principles of the implementation of special automatic systems for this purpose are proposed. These systems enable some loads of specific consumers of the power distribution system switched to islanded operation to “shift” from the daily maximum to the minimum, which makes some generators available to connect certain essential consumers disconnected earlier by under-frequency load shedding system to the power system. The approach under consideration is illustrated by a power system with distributed generation.

scholarly journals Evaluation of reliability of power distribution components: A case study of Sagamu Substation, Ogun State

2022 ◽  
Vol 10 (1) ◽  
pp. 065-074
Author(s):  
Elijah Adebayo Olajuyin ◽  
Eniola Olubakinde
Keyword(s):  
Power System ◽  
Power Distribution ◽  
Distribution System ◽  
Distribution Systems ◽  
Reliability Theory ◽  
Circuit Breakers ◽  
Earth Fault ◽  
Ogun State ◽  
Surge Arresters

Power system especially the distribution system which is the closest to the consumer is very fundamental and important to a nation’s economy development and that was the reason this study titled “Evaluation of reliability of power system distribution components, a case study of Sagamu Substation, Ogun State” was carried out in response to the yawning of the consumer for reliable and stable power supply. It is indispensable to find means of shaping which component failure contributes most to the unavailability, outage or interruption of the distribution system, and how this unavailability essentially affects the customers. A year power outages data that caused as a result of failure on each of these components such as Switch gears, Supply lines (11Kv),Busbar, circuit breakers, Fuses, Switches, Outgoings feeders, Over current relays, Earth fault relays, Surge arresters, transformers e.t.c. were collected from Ibadan Electricity Distribution company (IBDEC), Sagamu Substation Zone, Ogun State and were typified in Table 1-11.The failure rate (f/yr) (λ) of transformer, switch gear, supply line (incoming),bus bars, circuit breakers, fuses, switches, outgoing feeder, over current relay, earth fault relay and surge arrester were evaluated as follows 0.0059, 0.0044, 0.0011, 0.6667, 0.0007, 0.0082, 0.0000, 0.0039, 0.0003, 0.0001 and 0.0000 respectively and others such as average outages time (hours) ,outages time hours and other basic reliability indices were calculated and illustrated in Table 12. Some of these failures were also represented in bar chart. This method relates reliability theory with the experience gained from statistics and practical knowledge of components failures and maintenance. The findings from this work revealed that fuses had the highest failure followed by transformers and the least was surge arresters and it was also discovered that the outages time was reduced during the December period. This approach can be applied to rural and urban distribution systems. This submission made reliability theory a powerful tool to assist distribution Engineers in solving difficult and complicated problems.

scholarly journals MEJORAS EN LAS PRESTACIONES DE AEROGENERADORES SINCRÓNICOS DE VELOCIDAD VARIABLE FRENTE A LOS HUECOS DE TENSIÓN

2016 ◽  
Vol 1 (1) ◽  
pp. 44
Author(s):  
Julio Hernández Chilán
Keyword(s):  
Power System ◽  
Wind Energy ◽  
Wind Turbines ◽  
Power Distribution ◽  
Distribution Systems ◽  
Electrical Energy ◽  
Excess Energy ◽  
Power Distribution Systems ◽  
Index Terms ◽  
Wind Resources

Abstract: In the work presented are highlights that the introduction of wind turbines in a system of power, is sees limited by problems related with their behaviors facing them faults and disturbances that could occur in said system. When voltage in the system, wind turbines can be disconnected by amplifying  the  disturbance and its consequences. Sometimes  not  to  use  all  the  renewable wind energy  which is available in a given natural site, due to the limitations explained above. Although is holding reserves of sources renewable of energy, its implementation practice could affect the behavior dynamic  of the  system of  power facing  disturbances. Currently, them wind turbines face them hollow of voltage dissipating the energy electric excess in form of heat, energy that is   lost   and   not   can   be returned   to   the   system   of   power. In this work is carried out an analysis on how to improve the performance of wind turbines for  use  in  power  distribution systems,  if  stored  excess  energy during the disturbances, which allows the use of electrical energy from  small  wind  resources regardless of the position that windfarms in the power system are connected. In the work presented are highlights that the introduction of wind turbines in a system of power, is sees limited by problems related with their  behaviors  facing  them faults  and  disturbances  that could occur in  said  system. When voltage in the system, wind turbines can be disconnected by amplifying the disturbance and its consequences. In sometimes  not  is  can take  advantage  of all  it  energy  wind renewable that is has in a given site natural, due to the limitations explained previously. Index Terms: wind turbines, windfarms, power system, renewable wind energy

scholarly journals Application of Deep Neural Networks to Distribution System State Estimation and Forecasting

2022 ◽  
Vol 3 ◽  
Author(s):  
James P. Carmichael ◽  
Yuan Liao
Keyword(s):  
Neural Networks ◽  
Deep Learning ◽  
Power System ◽  
State Estimation ◽  
Power Distribution ◽  
Distribution Systems ◽  
System State ◽  
Power Distribution Systems ◽  
Static State ◽  
Power System State Estimation

Classical neural networks such as feedforward multi-layer perceptron models (MLPs) are well established as universal approximators and as such, show promise in applications such as static state estimation in power transmission systems. The dynamic nature of distributed generation (i.e. solar and wind), vehicle to grid technology (V2G) and false data injection attacks (FDIAs), may pose significant challenges to the application of classical MLPs to state estimation (SE) and state forecasting (SF) in power distribution systems. This paper investigates the application of conventional neural networks (MLPs) and deep learning based models such as convolutional neural networks (CNNs) and long-short term networks (LSTMs) to mitigate the aforementioned challenges in power distribution systems. The ability of MLPs to perform regression to perform power system state estimation will be investigated. MLPs are considered based upon their promise to learn complex functional mapping between datasets with many features. CNNs and LSTMs are considered based upon their promise to perform time-series forecasting by learning the correlation of the dataset being predicted. The performance of MLPS, CNNs, and LSTMs to perform state estimation and state forecasting will be presented in terms of average root-mean square error (RMSE) and training execution time. An IEEE standard 34-bus test system is used to illustrate the proposed conventional neural network and deep learning methods and their effectiveness to perform power system state estimation and power system state forecasting.

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