Priority based Scheduling of Residential Users Devices in Smart Grid Including WaitingTime
R. Rajarajeswari1, D. Suchitra2, J. Vijay Krishna3, Joydeep Das Gupta4
1R. Rajarajeswari, Department of Electrical and Electronics, SRM Institute of Science and Technology, Kattankulathur, Chennai (Tamil Nadu), India.
2D. Suchitra, Department of Electrical and Electronics, SRM Institute of Science and Technology, Kattankulathur, Chennai, Tamil Nadu, India.
3J. Vijay Krishna, Department of Electrical and Electronics, SRM Institute of Science and Technology, Kattankulathur, Chennai (Tamil Nadu), India.
4Joydeep Das Gupta, Department of Electrical and Electronics, SRM Institute of Science and Technology, Kattankulathur, Chennai (Tamil Nadu), India.
Manuscript received on 04 June 2019 | Revised Manuscript received on 29 June 2019 | Manuscript Published on 04 July 2019 | PP: 438-442 | Volume-8 Issue-1S4 June 2019 | Retrieval Number: A10800681S419/2019©BEIESP
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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: Demand side management (DSM) is an intiative taken by the utility to allow the consumer to optimize the power demand. To curb the energy consumption at the consumer end DSMprograms are developed and implemented by utility companies. The peak-to-average(PAR) load ratio onthecustomer side is reduced by reshaping the consumer’s power demand from peak hour to base load period. Due to this the electric power consumed during peak hour is reduced, by implementing dynamic pricing the the cost for power consumption is also decreased. DSM leads to improve system efficiency, cost reduction, and increase system reliability.The usage of electricity during peak times leads to increase in the price of energy usage which is a loss for both customers as well as for the utility companies. This paper suggests a remedy for this inadequacy by means of minimizing the electricity payment cost by consideringminimumwaiting time for each appliance. By rescheduling the loads to non-peak period, the PAR ratio of the demand curve reduces, further causing the cost to be minimum. Time-of-use (TOUP), Incline-block rate (IBR) and Real-time pricing (RTP)are he demand response strategy considered for a sample system which has both shiftable and fixed devices. By implementing the load shifting algorithm, PAR ratio is minimized which results in reduction of stress in the utility end during peak hours anda ample amount of cost saving .
Keywords: Demand Side Management (DSM), Waiting Time, Pricing Methodologies, Load Shifting, Priority based Scheduling.
Scope of the Article: Smart Grid Communications