Abstract
There has been an ever-growing demand for electrical energy causing supply–demand imbalance in the power system. To overcome this imbalance, a reliable, efficient, less centralised, and more interactive energy management system (EMS) has to be realized. One of the methods to bridge the supply–demand gap using EMS is through Load Management. The evolution of EMS allows loads to respond to the demand (Demand Response) and assist customers to make informed decisions about their energy consumption, adjusting both the timing and quantity of their electricity use. This paper deals with the development of Fuzzy logic-based load management scheme using Demand Response Programs in smart microgrids. The developed system is tested on a smart micro-grid simulator (SMGS) operated in islanded mode installed in the Renewable Energy Laboratory in Amrita Vishwa Vidyapeetham, Coimbatore.
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References
Jared P. Monnin, “Impact of load type on microgrid stability,” M.S. thesis, Dept. of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, USA, 2012.
B. S. Hartono, Y. Budiyanto and R. Setiabudy, “Review of microgrid technology,” International Conference on QiR (Quality in Research), Yogyakarta, 2013, pp. 127–132.
Z. Zhang, Y. Li and W. Chen, “The research on micro-grid mode conversion,” China International Conference on Electricity Distribution (CICED), Shanghai, 2012, pp. 1–7.
N. Hatziargyriou, H. Asano, R. Iravani and C. Marnay, “Microgrids,” in IEEE Power and Energy Magazine, vol. 5, no. 4, pp. 78–94, July–Aug. 2007.
F. Berkel, D. Gorges and S. Liu, “Load-frequency control, economic dispatch and unit commitment in smart microgrids based on hierarchical model predictive control,” IEEE 52nd Annual Conference on Decision and Control (CDC), Firenze, 2013, pp. 2326–2333.
C. Chen, S. Duan, T. Cai, B. Liu and G. Hu, “Smart energy management system for optimal microgrid economic operation,” in IET Renewable Power Generation, vol. 5, no. 3, pp. 258–267, May 2011.
H. Bevrani, M. R. Feizi and S. Ataee, “Robust Frequency Control in an Islanded Microgrid: H∞ and µ-Synthesis Approaches,” in IEEE Transactions on Smart Grid, vol. 7, no. 2, pp. 706–717, March 2016.
D. P. Vadana and S. K. Kottayil, “Energy-aware intelligent controller for Dynamic Energy Management on smart microgrid,” Power and Energy Systems Conference: Towards Sustainable Energy, 2014, Bangalore, 2014, pp. 1–7.
The Indian Electricity Act, Sub-regulation (m) of Regulation 5.2, 2014.
Adeel Abbas Zaidi and Friederich Kupzog, “Microgrid Automation—A Self: Configuring Approach,” Proc. INMIC 2008, pp. 565–570.
Ling Su, Jianhua Zhang and Ziping Wu. “Energy Management Strategy for Lab Microgrid,” Proc. Asia-Pacific Power and Energy Conference, 2011, pp. 1–4.
G. K. Venayagamoorthy; R. K. Sharma; P. K. Gautam; A. Ahmadi, “Dynamic Energy Management System for a Smart Microgrid,” in IEEE Transactions on Neural Networks and Learning Systems, vol. PP, no. 99, pp. 1–14.
J. A. Laghari, H. Mokhlis, A. H. A. Bakar, and H. Mohamad, “Application of computational intelligence techniques for load shedding in power systems: A review,” Energy Convers. Manage., vol. 75, pp. 130–140, 2013.
B. Delfino, S. Massucco, A. Morini, P. Scalera, and F. Silvestro, “Implementation and comparison of different under frequency load-shedding schemes,” in Proc. IEEE Power Eng. Soc. Summer Meeting, 2001, vol. 1, pp. 307–312.
K. U. Rao, S. H. Bhat, G. Jayaprakash, G. G. Ganeshprasad and S. N. Pillappa, “Time priority based optimal load shedding using genetic algorithm,” Communication and Computing (ARTCom 2013), Fifth International Conference on Advances in Recent Technologies in, Bangalore, 2013, pp. 301–308.
G. Thomas Bellarmine P.E., “Load Management Techniques”, IEEE Southeastcon, pp. 139–145, Nashville, TN, 2000.
Zahir J. Paracha and Parviz I. Doulai, “Load management techniques and Methods in electric power system,” International conference on Energy Management and Power Delivery, Vol. 1, pp. 213–217, 1998.
Federal Energy Regulatory Commission, “Assessment of demand response and advanced metering” [Online]. Available: http://www.ferc.gov/legal/staff-reports/2010-dr-report.pdf, Feb. 2011.
Pierluigi Siano, “Demand response and smart grids—A survey”, Renewable and Sustainable Energy Reviews, Vol. 30, pp. 461–478, 2014.
Mary Ann Piette, David Watson, Naoya Motegi, and Sila Kiliccote, “Automated Demand Response Strategies and Commissioning Commercial Building Controls,” National Conference on Building Commissioning, pp. 1–13, 2006.
Timothy J. Ross, “Logic and Fuzzy Systems,” in Fuzzy Logic with Engineering Applications, 3rd ed. UK: John Wiley & Sons Ltd., 2010, pp. 117–148.
D. PrasannaVadana, Sasi K. Kottayil, Autonomous Control of Smart Micro Grid in Islanding Mode, Procedia Technology, Volume 21, 2015, Pages 204–211.
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Gokuleshvar, K., Anand, S., Viknesh Babu, S., Prasanna Vadana, D. (2017). Demand Response Program Based Load Management for an Islanded Smart Microgrid. In: Dash, S., Vijayakumar, K., Panigrahi, B., Das, S. (eds) Artificial Intelligence and Evolutionary Computations in Engineering Systems. Advances in Intelligent Systems and Computing, vol 517. Springer, Singapore. https://doi.org/10.1007/978-981-10-3174-8_23
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DOI: https://doi.org/10.1007/978-981-10-3174-8_23
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