Conference Papers

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Subject: search.filters.subject.Wind integrated power system

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    Role of Battery Energy Storage in Enhancing the Reliability of Wind-Integrated Power Systems
    (Institute of Electrical and Electronics Engineers Inc., 2023) Sawant, S.; Yarramsetty, C.; Moger, T.; Jena, D.
    The rising use of fossil fuels has led to a dramatic rise in atmospheric carbon dioxide levels. Renewable energy sources like wind and solar are actively pursued worldwide as a possible solution. However, the intermittent nature of wind power challenges the electric grid's reliability and stability. Battery energy storage is becoming more popular to ensure a steady and stable supply of electricity to combat this problem. This research employs Sequential Monte Carlo Simulation (SMCS) to analyze time series data on wind patterns and load levels to assess the dependability of wind and energy storage systems. It proposes an operational strategy for battery and wind cooperation to optimize the renewable energy sources usage. The study evaluates the impact of various factors such as wind energy dispatch limits, battery energy storage charging and discharging rates, and storage capacities on the reliability of the system. Effect of cycle ageing of battery is also evaluated. The proposed model of generation system reliability evaluation is tested on the IEEERTS 24-bus system. The study concludes that the proposed operational strategy for battery and wind cooperation can significantly improve system reliability and reduce the dependence on fossil fuels. © 2023 IEEE.
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    Impact of Wind Energy on Reliability of Generation System
    (Institute of Electrical and Electronics Engineers Inc., 2023) Sawant, S.; Yarramsetty, C.; Moger, T.; Jena, D.
    In power systems planning studies, reliability evaluation plays an important role. Due to increasing penetrations of renewables in power systems, it became essential to analyze system behavior under different conditions. This paper studies two cases: adding wind energy into the modern power system and replacing conventional generators with wind energy generation. These two cases are considered by changing wind energy penetration. In the suggested method, states of conventional generator units and wind farms are combined utilizing sequential monte carlo simulation. Weibull distribution is employed to make the estimates for the hourly wind speeds. The Copula approach simulates correlated random variables that represent the correlation between wind farms. Loss of Load Expectation (LOLE) and Loss of Energy Expectation (LOEE) are considered to evaluate the effect of wind energy generation on system reliability. The proposed approach of reliability evaluation of the generation system is examined on IEEE-RTS 24 bus system. © 2023 IEEE.