Reliability assessment of generating systems containing wind power and air separation unit with cryogenic energy storage
Autor: | Farshad Kalavani, Behnam Mohammadi-Ivatloo, Mehdi Abapour, Milad Zamani-Gargari |
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Rok vydání: | 2018 |
Předmět: |
Air separation
Wind power Renewable Energy Sustainability and the Environment business.industry 020209 energy Monte Carlo method Energy Engineering and Power Technology Cryogenic energy storage 02 engineering and technology 021001 nanoscience & nanotechnology Automotive engineering Energy storage Wind speed Renewable energy Electric power system Physics::Space Physics 0202 electrical engineering electronic engineering information engineering Environmental science Electrical and Electronic Engineering 0210 nano-technology business Physics::Atmospheric and Oceanic Physics |
Zdroj: | Journal of Energy Storage. 16:116-124 |
ISSN: | 2352-152X |
Popis: | The acceptance of wind power has been increased in power systems because of environmental problems and production cost of conventional generation units. High penetration of intermittent wind power can increase risk level in power systems. The combination of energy storage with wind power is considered as a solution for problems of high wind integration. Energy storage can increase the reliability of power systems with high penetration of renewable energies like wind farms. In this paper, the cryogenic energy storage is used, which stores the air in the form of liquid and recover the power when it is needed. The copula theory is employed to generate correlated random variables to determine the wind speed of different locations. Also, for calculating the probability of availability of wind farm and energy storage system, Markov approach is adopted. Monte Carlo Simulation (MCS) method is implemented for obtaining reliability index of the system. The proposed method is verified using comprehensive simulations on Roy Billinton test system (RBTS) reliability test system considering the capacity of wind farms, level of wind penetration and size energy storage. |
Databáze: | OpenAIRE |
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