Energy Management System to Prevent Blackout in Smart Grid Network - A Case Study of Kotoka International Airport
Journal of Electrical and Electronic Engineering
Volume 4, Issue 4, August 2016, Pages: 83-88
Received: Aug. 1, 2016;
Accepted: Aug. 11, 2016;
Published: Sep. 7, 2016
Views 3236 Downloads 156
Emmanuel Nartey, Department of Electrical/Electronic, Regional Maritime University, Accra, Ghana
Isaac Owusu-Nyarko, Department of Electrical/Electronic, Regional Maritime University, Accra, Ghana
Efforts to tackle energy deficit have become a global challenge. Not a day passes by without global media outlets publishing on the subject of energy management and this has drawn public attention since it is not only help users to monitor and control their power consumption easily, but also reduce their electricity bill. Ghana Airport Company has been facing a challenge of paying high electricity tariffs as a result of the non-aeronautical service providers at the airport. This has cause revenue lost as a result of misuse of certain equipment’s in the various departments in the company. Various scheduling models have been proposed to optimize power consumption. However, they are few solutions to prevent the blackout while optimizing power consumption. We design and implement Energy Management system (EMS) which can autonomously control the power consumption below a given threshold while negotiating electricity consumption with the smart grid system. By keeping the power consumption below a given threshold autonomously, the power demand will not exceed the available supply, therefore can prevent the blackout. Since the threshold can be negotiated with the smart grid system, company satisfaction can be increased.
Energy Management System to Prevent Blackout in Smart Grid Network - A Case Study of Kotoka International Airport, Journal of Electrical and Electronic Engineering.
Vol. 4, No. 4,
2016, pp. 83-88.
M. Erol-Kantarci and H. T. Mouftah, “Wireless sensor networks for cost-efficient residential energy management in the smart grid,” Smart Grid, IEEE Transactions on, vol. 2, no. 2, pp. 314–325, 2011.
. Shao, S.; Pipattanasomporn, M.; Rahman, S. Development of Physical-Based Demand Response-Enabled Residential Load Models. IEEE Trans. Power Syst. 2013, 28, 607–614.
G. W. Arnold, "Challenges and Opportunities in Smart Grid: a Position Article," Proceedings of the IEEE, vol. 99, no. 6, pp. 922-927, 2011.
J. Wells, "Electricity Markets—Consumers Could Benefit From Demand Programs, But Challenges Remain," Government Accountability Office, Washington, DC, 2004.
C. F. Jack, "Peak Shaving – a Way to Fight Rising Costs," IEEE Transactions on Industry Applications, vol. IA 12, no. 5, pp. 486-491, September 1976.
J. Malinowski and K. Kaderly, "Peak Shaving – a Method to Reduce Utility Costs," in Region 5 Conference: Annual Technical and Leadership Workshop, April 2004.
Federal Energy Regulatory Commission, "Assessment of Demand Response and Advanced Metering," Staff Report, February 2011. http://www.ferc.gov/legal/staff-reports/06-09-demand-response.pdf. [Accessed 4 June 2013].
Peter Palensky and Dietmar Dietrich, "Demand Side Management: Demand Response, Intelligent Energy Systems, and Smart Loads," IEEE Transactions on Industrial Informatics, vol. 7, no. 3, pp. 381-388, August 2011.
United States Department of Energy, "Smart Grid: an Introduction," Office of Electricity Delivery and Energy Reliability, Washington DC, 2008.
Antonio J. Conejo, Juan M. Morales and Luis Baringo, "Real-Time Demand Response Mode," IEEE Transactions on Smart Grid, vol. 1, no. 3, pp. 236-242, December 2010.
Amit Mohan Saklani, H. S. V. S. Kumar Nunna and SuryanarayanaDoolla, "Intelligent Demand Response Approach in Smart Distribution Systems: A Review," in Annual IEEE India Conference, December 2012.
Omid AmeriSianaki, Omar Hussain, Tharam Dillon and AzadehRajabianTabesh, "Intelligent Decision Support System for Including Consumers’ Preferences in Residential Energy Consumption in Smart Grid," in Computational Intelligence, Modelling and Simulation, September 2010.
Wang and M. de Groot, "Managing End-User Preferences in the Smart Grid," ACM e-Energy, pp. 105-114, 2010.
KamalanathSamarakoon, JanakaEkanayake and Nick Jenkins, "Reporting Available Demand Response," IEEE Transactions on Smart Grid, 2013.
ThillainathanLogenthiran, Dipti Srinivasan, and Tan Zong Shun, "Demand Side Management in Smart Grid Using Heuristic Optimization," IEEE Transactions on Smart Grid, vol. 3, no. 3, pp. 1244-1252, September 2012.
Yunfei Wang, IrajRahimiPordanjani and Wilsun Xu, "An Event-Driven Demand Response Scheme for Power System Security Enhancement," IEEE Transactions on Smart Grid, vol. 2, no. 1, pp. 23-29, March 2011.
J. Short, D. Infield and L. Freris, "Stabilization of Grid Frequency Through Dynam-ic Demand Control," IEEE Transactions on Power Systems, vol. 22, no. 3, pp. 1284-1293, 2007.
I. Roytelman and V. Ganesan, "Coordinated Local and Centralized Control in Distribution Management Systems," IEEE Transactions on Power Delivery, vol. 15, no. 2, pp. 718-724, 2000.
Mohsenian-Rad, V. Wong, J. Jatskevich and R. Schober, "Optimal and Autonomous Incentive-Based Energy Consumption Scheduling Algorithm for Smart Grid," IEEE Innovative Smart Grid Technologies, pp. 1-6, January 2010.
Xiang Lu, Wenye Wang and Jianfeng Ma, "An Empirical Study of Communication Infrastructures Towards the Smart Grid: Design, Implementation, and Evaluation," IEEE Transactions on Smart Grid, vol. 4, no. 1, pp. 170-183, March 2013.
C. Gellings et al., "Integrating Demand-Side Management into Utility Planning," IEEE Transactions on Power Systems, vol. 1, no. 3, pp. 81-87, 1986.
Jose Medina, Nelson Muller and Ilya Roytelman, "Demand Response and Distribution Grid Operations: Opportunities and Challenges," IEEE Transactions on Smart Grid, vol. 1, no. 2, pp. 193-198, September 2010.
C. Su and D. Kirschen, "Quantifying the Effect of Demand Response on Electricity Markets," IEEE Transactions on Power Systems, vol. 24, no. 3, pp. 1199-1207, 2009.
Dan Yang and Yanni Chen, "Demand Response and Market Performance in Power Economics," in IEEE Power and Energy Society General Meeting, July 2009.
“IEEE recommended practice for data communications between remote terminal units and intelligent electronic devices in a substation,” IEEE Std 1379-2000, pp. 1–72, 2001.