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2023-04-28
Aims and ScopeArtificial Intelligence Technique and Wireless Sensor Networks in Energy Management System for Secure Power Optimization
Authors
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Ayuba John
Department of Cyber Security, Faculty of Computing, Federal University Dutse Jigawa State, Nigeria
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Abdulazeez Yusuf
Department of Cyber Security, Faculty of Computing, Federal University Dutse Jigawa State, Nigeria
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Abdulhamid Ardo
Department of Information Technology, Faculty of Computing, Federal University Dutse Jigawa State, Nigeria
DOI:
https://doi.org/10.30564/ssid.v3i1.3060Abstract
The modern basic building blocks of a control system consist of data acquisition, dispensation of data by the system operators and the remote control of system devices. However, the physical controls, technical examinations and deductions were originally implemented to aid the process and control of power system design. The complexity of the power system keeps increasing due the technical improvements, diversity and dynamic requirements. Artificial intelligence is the science of automating intelligent activities presently attainable by individuals. Intelligent system techniques may be of excessive benefit in the application of area power system controls. Whereas smart grid can be measured as a modern electric power grid structure for better productivity and dependability via automatic control, excessive power converters, modern communications setup, sensing and metering equipment, and modern energy management techniques established on the optimization of demand, energy and network accessibility,and so on. The enormous depiction of the entire transmission grid, in the perspective of smart grids, is quite unclear; and in Nigeria no studies have been put on ground in order for the existing network to be turn into a smart grid. In this research work emphasis is placed on generation and transmission stations; power optimization using artificial intelligent techniques and wireless sensor networks for power control management system.
Keywords:
Wireless sensor network, Artificial intelligent, Energy management system, Expert system, Smart gridsReferences
[1] Akinwumi, A. O. K. S. A. (2016), Migrating from Closed to Open Supervisory and Data Acquisition (SCADA) System: A Case Study of Transmission Company of Nigeria (TCN).
[2] Amis, A. D., & Prakash, R. (2000). Load-balancing clusters in wireless ad hoc networks. Paper presented at the Application-Specific Systems and Software Engineering Technology, 2000.Proceedings. 3rd IEEE Symposium on.
[3] Anwah, N., & Okonkwo, R. (1990). An Appraisal of NEPA’s Generation Adequacy to Year 2000.Nigerian Journal of Technology, 14(1), 35-42.
[4] Ares, B. Z., Park, P. G., Fischione, C., Speranzon,A., & Johansson, K. H. (2007). On power control for wireless sensor networks: System model, middleware component and experimental evaluation.Paper presented at the Control Conference (ECC), 2007 European.
[5] Banerjee, R. (2015). Artificial Intelligence in Power Station. Artificial Intelligence, 3(7).
[6] Bonivento, A., Fischione, C., Necchi, L., Pianegiani,F., & Sangiovanni-Vincentelli, A. (2007).System level design for clustered wireless sensor networks.IEEE Transactions on IndustrialInformatics, 3(3),202-214.
[7] Chandia, R., Gonzalez, J., Kilpatrick, T., Papa, M.,& Shenoi, S. (2007). Security strategies for SCADA networks Critical Infrastructure Protection (pp. 117-131): Springer.
[8] Chhaya, L., Sharma, P., Bhagwatikar, G., & Kumar,A. (2017). Wireless Sensor Network Based Smart Grid Communications: Cyber Attacks, Intrusion Detection System and Topology Control.Electronics,6(1), 5.
[9] Chobot, E., Newby, D., Chandler, R., Abu-Mulaweh,N., Chen, C., & Pomalaza-Ráez, C. (2013).Design and implementation of a wireless sensor and actuator network for energy measurement and control at home. arXiv preprint arXiv:1305.1259.
[10] De Oliveira, M. V., & de Almeida, J. C. S.(2013),Modeling and control of a nuclear power plant using AI techniques. International Nuclear Atlantic Conference.
[11] Dener, M., & Bostancıoğlu, C. (2015). Smart technologies with wireless sensor networks.Procedia-Social and Behavioral Sciences, 195, 1915-1921.
[12] Fu, Y., Sha, M., Hackmann, G., & Lu, C. (2012).Practical control of transmission power for wireless sensor networks. Paper presented at the Network Protocols (ICNP), 2012 20th IEEE International Conference on.
[13] Gungor. V. C, Lu. B, Hancke. G. P, “Opportunities and Challenges of Wireless Sensor Networks in Smart Grid,” IEEE on Trans. Ind. Electron.,vol. 57,no. 10, pp. 3557-3564, October 2010.
[14] Gungor. V. C, Lambert. F. C, “A Survey on Communication Networks for Electric System Automation,”Computer Networks, vol. 50, pp. 877-897, May2006.
[15] Happonen, A. (2005). Low Power Design for Wireless Sensor Networks: Jan.
[16] Kolenc, M., & Zajc, M. (2011). Wireless sensor networks and data analysis in Smart Grids. Paper presented at the 7th IEEE International Symposium on Information and Communication Technologies—INTSIKT.
[17] Lazaropoulos, A. G. (2014). Wireless sensor network design for transmission line monitoring,metering,and controlling: introducing broadband over power lines-enhanced network model (BPLeNM). ISRN Power Engineering, 2014.
[18] Leondes, Cornelius T. (2002). Expert systems: the technology of knowledge management and decision making for the 21st century. pp. 1-22. ISBN 978-0-12-443880-4.
[19] Li, F., Qiao, W., Sun, H., Wan, H., Wang, J., Xia, Y.Zhang, P. (2010). Smart transmission grid:Vision and framework. IEEE transactions on Smart Grid,1(2), 168-177.
[20] Nath, R. P., & Balaji, V. N. (2014). Artificial intelligence in power systems. IOSR Journal of Computer Engineering (IOSR-JCE), e-ISSN, 2278-0661.
[21] Okonkwo, R. (1996). Instrumentation for Power System Disturbance Monitoring, Data Acquisition and Control in Nigeria. Nigerian Journal of Technology,17(1), 30-34.
[22] Oladipo, F., & Olowu, T. (2014). The Nigerian power system till date: a review. International Journal of Advance Foundation and Research in Science & Engineering, 1, 14.
[23] Othman, M. F., & Shazali, K. (2012). Wireless sensor network applications: A study in environment monitoring system. Procedia Engineering, 41, 1204-1210.
[24] Park, P. G., Fischione, C., & Johansson, K. H. (2008).Experimental evaluation of power control algorithms for wireless sensor networks. IFAC Proceedings Volumes, 41(2), 619-624.
[25] Park, S., Choi, M.-i.,& Kang, B. (2013). Design and implementation of smart energy management system for reducing power consumption using ZigBee wireless communication module. Procedia Computer Science, 19, 662-668.
[26] Roy, R. B. Application of SCADA for Controlling Electrical Power System Network.
[27] Russell, Stuasrts; Norvig, Peter (1995). Artificial Intelligence: A Modern Approach (PDF). Simon &”World Nuclear Power Reactors 2007-08 and Uranium Requirements”.
[28] Satish Kumar & Ravali Cherukuri, (2017), A Survey on Artificial Intelligence Techniques in Power Station, International Journal of Innovative Research in Science, Engineering and Technology, Vol. 6, Issue 1.
[29] Siano. P, Cecati. C, Citro. C, Siano. P, “Smart Operation of Wind Turbines and Diesel Generators According to Economic Criteria,” IEEE Trans. on Industrial Electronics, vol. 58, no. 10, pp (in press) Digital Object Identifier: 10.1109/TIE.2011.2106100.
[30] Suh, C., Ko, Y.-B., Lee, C.-H., & Kim, H.-J. (2006).The Design and Implementation of Smart Sensor-based Home Networks. Paper presented at the Proceedings of the International Symposium on Ubiquitous Computing Systems, (UCS’06), Seoul,Korea.
[31] Terezinho, F. (2015). SCADA Systems Automate Electrical Distribution. Indussoftware.
[32] Tuna, G., Gungor, V. C., & Gulez, K. (2013). Wireless sensor networks for smart grid applications:a case study on link reliability and node lifetime evaluations in power distribution systems. International Journal of Distributed Sensor Networks, 9(2),796248.
[33] U.S Department of Energy, 2011, Avaliable: http://www.oe.energy.gov.
[34] Uhrig, R. E., Hines, J. W., & Nelson, W. R. (1998).Integration of artificial intelligence systems for nuclear power plant surveillance and diagnostics. Short Course Notes.
[35] Win, K. T. Z., & Tun, H. M. (2014). Design and implementation of SCADA system based power distribution for primary substation (control system). Int. J.Electron. Comput. Sci. Eng, 3, 254-261.
[36] Wollenberg, B. F., & Sakaguchi, T. (1987). Artificial intelligence in power system operations. Proceedings of the IEEE, 75(12), 1678-1685.
[37] World Nuclear Association; The economics of nuclear Power, updated July 2012.
[38] Xu, M., Ma, L., Xia, F., Yuan, T., Qian, J., & Shao,M. (2010). Design and implementation of a wireless sensor network for smart homes. Paper presented at the Ubiquitous Intelligence & Computing and 7th International Conference on Autonomic & Trusted Computing (UIC/ATC), 2010 7th ternational Conference on.
[39] Zaw, A. M., & Tun, H. M. (2014). Design and Implementation of SCADA System Based Power Distribution for Primary Substation (Monitoring System). Int.J. Sience, Eng. Technol. Res, 3(5),1542-1546.
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John, A., Yusuf, A., & Ardo, A. (2021). Artificial Intelligence Technique and Wireless Sensor Networks in Energy Management System for Secure Power Optimization. Semiconductor Science and Information Devices, 3(1), 10–15. https://doi.org/10.30564/ssid.v3i1.3060
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