Integration of large-scale renewable power into the Taiwan power system

2015 ◽  
Author(s):  
Yuan-Kang Wu ◽  
Tung-Ching Lee ◽  
Shih-Ming Chang ◽  
Ting-Yen Hsieh ◽  
Li-Tso Chang
Keyword(s):  
Power System ◽  
Large Scale ◽  
Renewable Power

scholarly journals Potential of individual heat pumps for renewable energy storage in Smart Grid

2019 ◽  
Vol 100 ◽  
pp. 00057
Author(s):  
Elżbieta Niemierka ◽  
Piotr Jadwiszczak
Keyword(s):  
Smart Grid ◽  
Power System ◽  
Large Scale ◽  
Weather Condition ◽  
Heat Pumps ◽  
Hot Water ◽  
Power Sources ◽  
Domestic Hot Water ◽  
Renewable Power ◽  
Green Power

Ever-increasing power market and environmental policy enforce growth of renewable power sources. Renewables inflexibility and dependency on weather condition causes periodically imbalance in power system due to the green power overproduction. With the increase of renewable sources, the balancing problems in power system will be increasingly significance issue. It is proposed to use individual heat pumps as a next tool for energy system adjustment support. Power system adjustment will be carried out by active demand side management by intended domestic hot water tanks overheating. The smart grid individual heat pumps setpoints will be switched at community or even country scale. The strategy allows shaving the overproduction peaks through short-term increase of electricity consumption in remote controlled heat pumps and to lowering power demand during green power deficits using the thermal energy stored in overheated domestic hot water. The dynamic mathematical simulations were made to define the operation and limitation of active control strategy of heat pumps integrated into smart grid. The results allow testing and assessing the potential of individual heat pumps as a next tool for balancing the power system with large scale of renewable power.

scholarly journals A novel out of step relaying algorithm based on wavelet transform and a deep learning machine model

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Jigneshkumar Pramodbhai Desai ◽  
Vijay Hiralal Makwana
Keyword(s):  
Deep Learning ◽  
Wavelet Transform ◽  
Power System ◽  
Large Scale ◽  
Half Cycle ◽  
Synchronous Generators ◽  
Power Swing ◽  
Renewable Power ◽  
Three Phase ◽  
Feed Forward Network

AbstractOut-of-step protection of one or a group of synchronous generators is unreliable in a power system which has significant renewable power penetration. In this work, an innovative out-of-step protection algorithm using wavelet transform and deep learning is presented to protect synchronous generators and transmission lines. The specific patterns are generated from both stable and unstable power swing, and three-phase fault using the wavelet transform technique. Data containing 27,008 continuous samples of 48 different features is used to train a two-layer feed-forward network. The proposed algorithm gives an automatic, setting free and highly accurate classification for the three-phase fault, stable power swing, and unstable power swing through pattern recognition within a half cycle. The proposed algorithm uses the Kundur 2-area system and a 29-bus electric network for testing under different swing center locations and levels of renewable power penetration. Hardware-in-the-loop (HIL) tests show the hardware compatibility of the developed out-of-step algorithm. The proposed algorithm is also compared with recently reported algorithms. The comparison and test results on different large-scale systems show that the proposed algorithm is simple, fast, accurate, and HIL tested, and not affected by changes in power system parameters.

scholarly journals Large-Scale Integration of Renewable Power Sources into the Vietnamese Power System

2017 ◽  
Vol 125 ◽  
pp. 207-213 ◽  
Author(s):  
Alexander Kies ◽  
Bruno Schyska ◽  
Dinh Thanh Viet ◽  
Lueder von Bremen ◽  
Detlev Heinemann ◽  
...  
Keyword(s):  
Power System ◽  
Large Scale ◽  
Power Sources ◽  
Renewable Power ◽  
Large Scale Integration ◽  
Scale Integration

scholarly journals Electric Vehicle Battery Lifetime Extension through an Intelligent Double-Layer Control Scheme

Energies ◽  
2019 ◽  
Vol 12 (8) ◽  
pp. 1525 ◽  
Author(s):  
Omid Rahbari ◽  
Noshin Omar ◽  
Joeri Van Mierlo ◽  
Marc A. Rosen ◽  
Thierry Coosemans ◽  
...  
Keyword(s):  
Power Generation ◽  
Power System ◽  
Electric Vehicle ◽  
Double Layer ◽  
Urban Areas ◽  
Optimal Power Flow ◽  
Large Scale ◽  
Support Vector ◽  
Renewable Power ◽  
Renewable Power Generation

Electric vehicles (EVs) are recognized as promising options, not only for the decarbonization of urban areas and greening of the transportation sector, but also for increasing power system flexibility through demand-side management. Large-scale uncoordinated charging of EVs can impose negative impacts on the existing power system infrastructure regarding stability and security of power system operation. One solution to the severe grid overload issues derived from high penetration of EVs is to integrate local renewable power generation units as distributed generation units to the power system or to the charging infrastructure. To reduce the uncertainties associated with renewable power generation and load as well as to improve the process of tracking Pareto front in each time sequence, a predictive double-layer optimal power flow based on support vector regression and one-step prediction is presented in this study. The results demonstrate that, through the proposed control approach, the rate of battery degradation is reduced by lowering the number of cycles in which EVs contribute to the services that can be offered to the grid via EVs. Moreover, vehicle to grid services are found to be profitable for electricity providers but not for plug-in electric vehicle owners, with the existing battery technology and its normal degradation.

Virtual Synchronous Generator Control of Power System including Large-scale Wind Farm by Cooperative Operation between Battery and LFC Hydro Power Plant

2020 ◽  
Vol 140 (6) ◽  
pp. 531-538
Author(s):  
Kotaro Nagaushi ◽  
Atsushi Umemura ◽  
Rion Takahashi ◽  
Junji Tamura ◽  
Atsushi Sakahara ◽  
...  
Keyword(s):  
Power Plant ◽  
Power System ◽  
Large Scale ◽  
Wind Farm ◽  
Synchronous Generator ◽  
Hydro Power ◽  
Virtual Synchronous Generator

Development of Unit Commitment Model Considering Confidence Intervals of Photovoltaics Forecast and Analysis of a Large Scale Power System

2016 ◽  
Vol 136 (5) ◽  
pp. 484-496 ◽  
Author(s):  
Yusuke Udagawa ◽  
Kazuhiko Ogimoto ◽  
Takashi Oozeki ◽  
Hideaki Ohtake ◽  
Takashi Ikegami ◽  
...  
Keyword(s):  
Power System ◽  
Confidence Intervals ◽  
Large Scale ◽  
Unit Commitment
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