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A Fuzzy Based Power Switching Selection for Residential Application to Beat Peak Time Power Demand

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Intelligent Decision Support Systems for Sustainable Computing

Part of the book series: Studies in Computational Intelligence ((SCI,volume 705))

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Abstract

The power demand during peak period causes large power fluctuations in the commercial grid. The reduction in using grid supply during peak time benefits the supplier and consumer. There are many methods such as monitoring the usage of grid supply, implementing load shedding, using local generators and disconnecting unwanted loads during peak time, used to reduce grid dependency during peak time. These methods reduce power demand from grid by either supplying interrupted power to the load or by establishing additional power source. The objective of this research is to solve the high power demand from grid during peak time and to avoid the frequent load shedding problem. The research design includes design of hybrid power system. In this research, solar and grid power are chosen as two power sources and automatic switching system to select the power source to supply uninterrupted power to the load is designed. The automatic selection of power source during peak time with selection of power source based on the availability of the source is designed and tested using Proteus real time simulation software. The introduction of fuzzy logic method to select the source based on the utility power level, and availability of the source is also described. The results of the fuzzy logic system in selecting the power source during peak time along with the utilized power level is analyzed. A manual switch is added to the system to override all the input conditions which is also considered as one of the input to the fuzzy decision making system. The designed system is tested in MATLAB and Proteus simulation software. The outputs are displayed in the LCD screen added to the microcontroller. The results displayed are the power source selected based on the availability of the source, peak and off peak time and the power utilized by various sources. The results shows that the designed system is more flexible in selecting the power source based on the utility level and availability of power source to save energy. It can be seen that the designed system eliminates the drawbacks of the existing system to reduce stress on the grid during peak time. Also it is economically feasible to implement it and efficient in supplying uninterrupted power to the load.

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Correspondence to Chitra Venugopal .

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Venugopal, C., Subramaniam, P.R., Habyarimana, M. (2017). A Fuzzy Based Power Switching Selection for Residential Application to Beat Peak Time Power Demand. In: Sangaiah, A., Abraham, A., Siarry, P., Sheng, M. (eds) Intelligent Decision Support Systems for Sustainable Computing. Studies in Computational Intelligence, vol 705. Springer, Cham. https://doi.org/10.1007/978-3-319-53153-3_9

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  • DOI: https://doi.org/10.1007/978-3-319-53153-3_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-53152-6

  • Online ISBN: 978-3-319-53153-3

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