Advanced Supervisory Control Plan with Power Saving Strategy for Demand Side Load
Main Article Content
Abstract
Demand Side Power Management is getting crucial to control the gradual rise of electrical power usage day-by-day. Though, the spread of power saving devices is a huge success throughout the world, yet the demand side power management system have to be more efficient and controlled. Here, an unique power saving strategy was established by intranet based Advanced Supervisory Control system. The core system consists of XPSU, XCU, PBU, DS and ASC. Planning of this system has been done not only to solve the above-mentioned criteria but also to reduce huge electricity demand from national grid. To reduce the National Grid pressure, full utilization of renewable energy grid output is ensured in this strategy. By this Control Plan, maximum 31.9% of the instantaneous power has been saved by 11.11% of System-end ASC Switching. A new idea, Electrical Mapping is also introduced for every different load section; by which the load behavior and power consumption history of our different load site area can be understood.
Article Details
How to Cite
[1]
T. Meer Shadman Shafkat, R. Md. Abdur, and O. Ashrafun Nushra, “Advanced Supervisory Control Plan with Power Saving Strategy for Demand Side Load”, AJSE, vol. 18, no. 3, pp. 108 - 116, Dec. 2019.
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References
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[9] Khorram M., Faria P., Abrishambaf O. and Vale Z., “Demand Response Implementation in an Optimization Based SCADA Model Under Real-Time Pricing Schemes,” Rodríguez S. et al. (eds) Distributed Computing and Artificial Intelligence, Special Sessions, 15th International Conference. DCAI 2018. Advances in Intelligent Systems and Computing, vol 801. Springer, 2019, pp. 21–29.
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[11] Ming-Yuan Cho, Jung-chin Chen. “A SCADA System Application in Load Management,” Proceedings of the Fifth International Conference on Electronic Business, Hong Kong, December 5-9, 2005, pp. 725 – 728.
[12] Marco Pasetti, Stefano Rinaldi and Daniele Manerba, “A Virtual Power Plant Architecture for the Demand-Side Management of Smart Prosumers”, Appl. Sci. 2018, 8, 432, pp. 1-20.
[13] S. Paramasivam, L. Thillainathan, H. Zeynal, N. Diana, “Cost-Effective and Real-Time SCADA Home Energy Monitoring System”, 2014 IEEE 8th International Power Engineering and Optimization Conference (PEOCO2014), Langkawi, The Jewel of Kedah, Malaysia. 24-25 March 2014, pp. 585-590.
[14] Aye Min Zaw, Hla Myo Tun, “Design and Implementation of SCADA System Based Power Distribution for Primary Substation ( Monitoring System)”, International Journal of Science, Engineering and Technology Research (IJSETR), Volume 3, Issue 5, May 2014, pp. 1542-1546.
[15] Mukesh Kumar, Sanjeev Sharma and Mansav Joshi, “Design of Real Time Data Acquisition with Multi Node Embedded Systems”, International Journal of Computer Applications (0975 – 8887), Volume 42– No.11, March 2012, pp. 6-12.
[16] Bindu Pillai, Vishal Mehta, Nilam Patel, “Development of Supervisory Control and Data Acquisition system for Laboratory Based Mini Thermal Power Plant using LabVIEW”, International Journal of Emerging Technology and Advanced Engineering, ISSN 2250-2459, Volume 2, Issue 5, May 2012, pp. 449-453.
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[19] Saulo, M.J. and Omondi, V.O., “Design and Analysis of Solar Energy Mini-Grid for Rural Electrification,” Open Access Library Journal, 2: e1903, 2015, pp. 1-10.
[20] Zvonimir Klaić, Krešimir Fekete, Damir Šljivac, “Demand side load management in the distribution system with photovoltaic generation”, Tehnički vjesnik 22, 4(2015), pp. 989-995.
[21] Park, L., Jang, Y., Cho, S., Kim, J.: Residential demand response for renewable energy resources in smart grid systems. IEEE Trans. Industr. Inf. 13(6), 2017, pp. 3165–3173.
[22] Gazafroudi, A., Pinto, T., Prieto-Castrillo, F., Corchado, J., Abrishambaf, O., Jozi, A., Vale, Z.: Energy flexibility assessment of a multi agent-based smart home energy system. In: IEEE 17th International Conference On Ubiquitous Wireless Broadband (ICUWB), Salamanca, Spain, 2017, pp. 1–7.
[23] Leo Raju, Sajna G., Prithika rani M, “IoT Based Advanced Energy Management of Micro-grid” International Journal of Pure and Applied Mathematics, Volume 120 No. 6 2018, pp. 1443-1452.
[24] Robert R. Dedrick, John D. Halfman and D. Brooks McKinney, “An Inexpensive, Microprocessor-Based, Data Logging System”, Computers & Geosciences - COMPUT GEOSCI. 26. 1059-1066. 10.1016/S0098-3004(00)00020-0, 2000, pp. 1-15.
[25] Ishaan Dua, Prerna Choudhary, Shubham Soni and Sheila Mahapatra, “Microcontroller Based Data Acquisition And Supervision”, International Journal of Scientific & Technology Research, Volume 4, Issue 05, May 2015, pp. 95-99.
[26] Raghda Bakerey Khader Elssadig and Eltahir Mohammed Hussien, “Microcontroller Based Data Logger”, International Journal of Engineering, Applied and Management Sciences Paradigms, Vol. 42, Issue 01, pp. 70-73.
[27] Khalid A. Fakeeh, “An IoT based Smart Power Management System for Technical University”, International Journal of Computer Applications (0975 – 8887), Volume 149 – No.1, September 2016, pp. 39-45.
[28] Minoli, D., Sohraby, K., Occhiogrosso, B.: IoT considerations, requirements, and architectures for smart buildings – energy optimization and next generation building management systems. IEEE Internet Things J. 4(1), 2017, pp. 269–283.
[29] Giampaolo Fiorentino and Antonello Corsi, “Internet of Things for Demand Side Management”, Journal of Energy and Power Engineering 9, 2015, pp. 500-503.
[30] Madhuri G. Hiremath, Veeresh Pujari, Baswaraj Gadgay, “IOT Based Energy Monitoring and Control Device”, International Journal for Research in Applied Science & Engineering Technology (IJRASET), Volume 5 Issue VI, June 2017, pp. 711-715.
[31] Kaushik Bhuiya, Kintali Anish, Dhwani Parekh, and Kilaru Laxmi Sahiti, “Low cost wireless control and monitoring using PLC and SCADA”, International Journal of Scientific and Research Publications, Volume 3, Issue 9, September 2013, pp. 1-4.
[32] NY Dahlan, AAM Aris, MA Saidin, MJM Nadzeri, MNM Nawi, WF Abas, AF Abidin, H Mohammad, Z Zakaria1, P Arshad, “Development of Web-Based Real-time Energy Monitoring System for Campus University”, Journal of Telecommunication, Electronic and Computer Engineering, ISSN: 2180-1843 e-ISSN: 2289-8131 Vol. 8 No. 10, pp. 157-164.
[33] Mahmoud Shaker Nasr, Ali Najim Abdullah, “Design and Implementation of IoT Cloud Moveable SCADA Supported by GSM for Industrial Applications”, Journal of Babylon University/Engineering Sciences/ No.(2)/ Vol.(25): 2017, pp. 409-424.
[34] Maria Muntean, Ioan Ileana, Corina Rotar, Mircea Risteiu, “Data Mining Learning Models and Algorithms on a Scada System Data Repository”, BRAIN. Broad Research in Artificial Intelligence and Neuroscience, ISSN 2067-3957, Volume 1, July 2010, pp. 91-99.
[35] Chaitanya Kulkarni, Indrajit Rananavare, Shubham Patil, Niket Ther, Pratik Chavan, Faija Magdum, Suraj Ghatage, Bharat Kulkarni, “Power monitoring with time controlling & data logging”, International Research Journal of Engineering and Technology (IRJET), Volume: 06, Issue: 04, April 2019, pp. 336-339.
[36] Lawrence Oriaghe Aghenta and Mohammad Tariq Iqbal, “Low-Cost, Open Source IoT-Based SCADA System Design Using Thinger.IO and ESP32 Thing”, Electronics 2019, 8, 822, pp. 1-24.