Browsing by Author "Shenoy, B.B."

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Correlation of wind speed and wind turbine reliability in system adequacy assessment
(2018) Nguyen, N.; Almasabi, S.; Mitra, J.; Shenoy, B.B.
This paper proposes a new method to evaluate the reliability of a power system in the presence of wind generation, considering the negative correlation of wind turbine reliability and wind speed. Although wind power integration supports the power system by increasing generation, its intermittent nature is a matter of concern. As the integration of wind power systems steadily increases, the reliability of such integrated systems needs re-evaluation. Besides the relationship between wind speed and wind power output, the relationship between wind speed and wind turbine failure rate also has an impact on reliability of a wind farm and needs to be given due consideration. The method proposed in this paper to evaluate system reliability is implemented using the sequential Monte Carlo simulation. The implementation is tested on the IEEE RTS-79 system with relevant modifications. The effectiveness of the proposed method is proved by comparing system reliability indexes with and without considering the impacts of correlation between wind turbine reliability and wind speed. � 2018 IEEE.
Correlation of wind speed and wind turbine reliability in system adequacy assessment
(Institute of Electrical and Electronics Engineers Inc., 2018) Nguyen, N.; Almasabi, S.; Mitra, J.; Shenoy, B.B.
This paper proposes a new method to evaluate the reliability of a power system in the presence of wind generation, considering the negative correlation of wind turbine reliability and wind speed. Although wind power integration supports the power system by increasing generation, its intermittent nature is a matter of concern. As the integration of wind power systems steadily increases, the reliability of such integrated systems needs re-evaluation. Besides the relationship between wind speed and wind power output, the relationship between wind speed and wind turbine failure rate also has an impact on reliability of a wind farm and needs to be given due consideration. The method proposed in this paper to evaluate system reliability is implemented using the sequential Monte Carlo simulation. The implementation is tested on the IEEE RTS-79 system with relevant modifications. The effectiveness of the proposed method is proved by comparing system reliability indexes with and without considering the impacts of correlation between wind turbine reliability and wind speed. Â© 2018 IEEE.
Human Muscle Energy Harvesting: Models and Application for Low Power Loads
(2018) Shenoy, B.B.; Laxminidhi, T.; Shripathi, Acharya U.; Mitra, J.
This paper presents models for human muscle power which can be harvested and utilized for low power applications. The low power application considered in this paper is the case of off-grid rural electrification, where a person in a rural area uses a bicycle-based human power generating system to charge a battery for the purpose of lighting his home with a few low-wattage LED lamps during periods of necessity. In this regard, two methods to convert energy from human muscle activity into useful electricity by utilizing the commonly available bicycle are proposed and presented with hardware results. The presented hardware results prove that power of the order of 50 W can be successfully generated using these methods. Another important feature is that, the methodology involved in generating useful electricity is carbon-free and power can be generated at any given point of time regardless of location or the associated climatic condition. � 2018 IEEE.
Human Muscle Energy Harvesting: Models and Application for Low Power Loads
(IEEE Computer Society help@computer.org, 2018) Shenoy, B.B.; Laxminidhi, L.; Shripathi Acharya, U.S.; Mitra, J.
This paper presents models for human muscle power which can be harvested and utilized for low power applications. The low power application considered in this paper is the case of off-grid rural electrification, where a person in a rural area uses a bicycle-based human power generating system to charge a battery for the purpose of lighting his home with a few low-wattage LED lamps during periods of necessity. In this regard, two methods to convert energy from human muscle activity into useful electricity by utilizing the commonly available bicycle are proposed and presented with hardware results. The presented hardware results prove that power of the order of 50 W can be successfully generated using these methods. Another important feature is that, the methodology involved in generating useful electricity is carbon-free and power can be generated at any given point of time regardless of location or the associated climatic condition. Â© 2018 IEEE.
Sustainable Off-Grid Electricity Generation System for Low Power Lighting in Remote Locations
(Institute of Electrical and Electronics Engineers Inc., 2020) Shenoy, B.B.; Mitra, J.; Shripathi Acharya, U.; Laxminidhi, T.
This paper proposes an environmental friendly and sustainable approach to generate electricity for small lighting applications in rural and remote locations. In the proposed system, human muscle energy, abundantly available in rural and remote locations, has been converted into electrical energy to be stored in an alternative energy storage device, e.g. a supercapacitor. The usual bicycle with a minor modification is plugged to a charging platform. The charging platform has a power processing circuit and a Permanent Magnet Direct Current generator. The system has the ability to power up a 1 W white LED lamp for a duration of approximately 60 minutes, when the bicycle is pedaled for 4 minutes. The proposed system is not only eco-friendly, but also effectively caters to the challenges posed by seasonal variations and locational disadvantages and is targeted specifically for locations which are not having access to the power grid. Â© 2020 IEEE.