Peak Time Load Management in Domestic Sector
M. Suresh1, P. Maniraj2, S. Sundar3, T. Logeswaran4, P. Tamilarasu5
1M.Suresh*, Electrical and Electronics Engineering, Kongu Engineering College, Perundurai, Erode, India.
2P.Maniraj, Electrical and Electronics Engineering, M.Kumarasamy College of Engineering, Thalavapalayam, Karur, India.
3S.Sundar, Electrical and Electronics Engineering, Bannari Amman Institute of Technology, Sathyamangalam, India.
4T.Logeswaran, Electrical and Electronics Engineering, Kongu Engineering College, Perundurai, Erode, India.
5P.Tamilarasu, Electrical and Electronics Engineering, Kongu Engineering College, Perundurai, Erode, India.
Manuscript received on October 16, 2019. | Revised Manuscript received on 24 October, 2019. | Manuscript published on November 10, 2019. | PP: 2761-2763 | Volume-9 Issue-1, November 2019. | Retrieval Number: A5221119119/2019©BEIESP | DOI: 10.35940/ijitee.A5221.119119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The electricity demand is increasing day by day and leads do increase in generation and power transmission. India consumes about 3.4% of world energy consumption. The energy demand has grown at the average of 3.6% per annum over the past 30 years. Usually the demand for the electricity increases abruptly during peak hours. So it is necessary to monitor the loads during peak hours in order to provide energy sufficiently. The government has taken steps to reduce power consumption in industrial sector. Demand reduction can also possible in domestic sector. This Paper presents a load management model for domestic houses. Every house has a maximum demand limit for essential loads. During peak hours, if the consumer consumes power more than the preset limit,, based on the priority of load the power supply to the load will be turned off automatically and by using the cloud, the data can be visualized and analyzed. The power consumption during peak time is updated in cloud using NODEMCU and Thingspeak. The information can also be used for load forecasting.
Keywords: Demand, Essential and Non-essential loads, Load Management, Peak Hour
Scope of the Article: Simulation Optimization and Risk Management