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 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 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.

Malfunction Issue of SiC-SIT Based DC Circuit Breaker in 400V DC Power Distribution Systems for Data Centers

2012 ◽  
Vol E95.B (6) ◽  
pp. 1990-1996
Author(s):  
Seiya ABE ◽  
Sihun YANG ◽  
Masahito SHOYAMA ◽  
Tamotsu NINOMIYA ◽  
Akira MATSUMOTO ◽  
...  
Keyword(s):  
Power Distribution ◽  
Distribution Systems ◽  
Data Centers ◽  
Circuit Breaker ◽  
Power Distribution Systems ◽  
Dc Power ◽  
Dc Circuit Breaker

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.

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