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A Novel Integrated Approach of Energy Consumption Scheduling in Smart Grid Environment With the Penetration of Renewable Energy

Year 2015, Volume: 5 Issue: 4, 1196 - 1205, 01.12.2015

Abstract

In the future era, Smart grid provides  phenomenal solutions for the consumers, in order for them  to use the energy in more easy and efficient method. In this work, a new demand side management scheme is proposed for users with renewable sources and storage facilities. Here an optimal scheduling for home appliances is determined using stochastic dynamic programming for consumers with smart meters. Simulation results demonstrates the effectiveness of the approach with the mathematical model. Results are worked out in Generic Algebraic Modeling system (GAMS) with Gurobi optimizer as a solver  which exhibits significant reduction of the electricity bills for the users with the usage of renewable energy  and battery storage.

References

  • Amin, S. Massoud, Bruce F. Wollenberg. "Toward a smart grid: power delivery for the 21st century." IEEE Power and Energy Magazine, vol. 3, no. 5, pp. 34-41, 2005.
  • Kärkkäinen, Seppo. "Integration of Demand-Side management, Distributed Generation, Renewable Energy Sources and Energy Storages." Report Task XVII Integration of Demand-Side management, Distributed Generation, Renewable Energy Sources and Energy Storages, vol. 1, pp. 77, 2008.
  • Pina, André, Carlos Silva and Paulo Ferrão. "The impact of demand side management strategies in the penetration of renewable electricity." Energy vol. 41, no 1, pp. 128- 137, 2012.
  • Palensky, Peter, 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, 2011.
  • Strbac, Goran. "Demand side management: Benefits and challenges." Energy policy, vol. 36, no.12, pp. 4419- 4426, 2008.
  • Shaahid, S. M., M. A. Elhadidy. "Economic analysis of hybrid photovoltaic–diesel–battery power systems for residential loads in hot regions—A step to clean future." Renewable and Sustainable Energy Reviews, vol. 12, no. 2, pp. 488-503, 2008.
  • Xiao, Jin, et al. "Near optimal demand-side energy management under real-time demand-response pricing." Network and Service Management (CNSM), 2010 International Conference on. IEEE, pp. 527-532, 2010.
  • Di Zhanga, Nouri J. Samsatlib, Nilay Shahb, and Lazaros G. Papageorgioua. "Optimal scheduling of smart homes energy consumption with microgrid." ENERGY 2011 : 1st First International Conference on Smart Grids, Green Communications and IT Energy-aware Technologies, pp. 70-75, 2011.
  • Mohsenian-Rad, Amir-Hamed, et al. "Autonomous demand-side management based on game-theoretic energy consumption scheduling for the future smart grid." IEEE Transactions on Smart Grid, vol. 1, no. 3, pp. 320- 331 2010.
  • Barbato, Antimo, et al. "House energy demand optimization in single and multi-user scenarios." IEEE International Conference on Smart Grid Communications (Smart Grid Comm), pp. 345-350, 2011.
  • Castillo-Cagigal, Manuel, et al. "A semi-distributed electric demand-side management system with PV generation for self-consumption enhancement."Energy Conversion and Management, vol. 52, no. 7, pp. 2659- 2666, 2011.
  • Matallanas, E., et al. "Neural network controller for active demand-side management with PV energy in the residential sector." Applied Energy, vol. 91, no.1, pp. 90- 97, 2012.
  • Palma-Behnke, Rodrigo, et al. "Energy management system for a renewable based microgrid with a demand side management mechanism." IEEE symposium on Computational intelligence applications in smart grid (CIASG), 2011.
  • Samadi, Pedram, et al. "Optimal real-time pricing algorithm based on utility maximization for smart grid." First IEEE International Conference on. Smart Grid Communications (SmartGridComm), pp. 415-420, 2010.
  • Barbato, Antimo, et al. "Cooperative and non- cooperative house energy optimization in a smart grid perspective." IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), 2011.
  • Dam, Q. Binh, Salman Mohagheghi, and James Stoupis. "Intelligent demand response scheme for customer side load management." IEEE Energy 2030 Conference, pp. 1-7, 2008.
  • Gudi, Nikhil, Lingfeng Wang, and Vijay Devabhaktuni. "A demand side management based simulation platform incorporating heuristic optimization for management of household appliances." International Journal of Electrical Power & Energy Systems, vol. 43, no.1, pp. 185-193, 2012.
  • Samadi, Pedram, et al. "Utilizing renewable energy resources by adopting DSM techniques and storage facilities." Communications International Conference on. IEEE, 2014. (ICC), 2014 IEEE
  • Narimani, Afsaneh, et al. "Financially optimized scheduling of electric energy storage in presence of renewable energy resources." Power Electronics for Distributed Generation Systems (PEDG), 2015 IEEE 6th International Symposium on. IEEE, 2015.
  • Zhu, Ziming, et al. "A Game Theoretic Optimization Framework Incorporating Local Energy Resources." Industrial Informatics, IEEE Transactions on 11.2 (2015): 353-362.
  • Radhakrishnan, Asha, and M. P. Selvan. "Load scheduling for smart energy management in residential buildings with renewable sources." Power Systems Conference (NPSC), 2014 Eighteenth National. IEEE, 2014.
  • Cicek, Nihan, and Hakan Delic. "Demand Response Management Power." Sustainable Energy, IEEE Transactions on 6.2 (2015): 625-634. Grids With Wind
  • Deng, Ruilong, et al. "A Survey on Demand Response in Smart Grids: Mathematical Models and Approaches."
  • Albadi, Mohamed H., and E. F. El-Saadany. "A
Year 2015, Volume: 5 Issue: 4, 1196 - 1205, 01.12.2015

Abstract

References

  • Amin, S. Massoud, Bruce F. Wollenberg. "Toward a smart grid: power delivery for the 21st century." IEEE Power and Energy Magazine, vol. 3, no. 5, pp. 34-41, 2005.
  • Kärkkäinen, Seppo. "Integration of Demand-Side management, Distributed Generation, Renewable Energy Sources and Energy Storages." Report Task XVII Integration of Demand-Side management, Distributed Generation, Renewable Energy Sources and Energy Storages, vol. 1, pp. 77, 2008.
  • Pina, André, Carlos Silva and Paulo Ferrão. "The impact of demand side management strategies in the penetration of renewable electricity." Energy vol. 41, no 1, pp. 128- 137, 2012.
  • Palensky, Peter, 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, 2011.
  • Strbac, Goran. "Demand side management: Benefits and challenges." Energy policy, vol. 36, no.12, pp. 4419- 4426, 2008.
  • Shaahid, S. M., M. A. Elhadidy. "Economic analysis of hybrid photovoltaic–diesel–battery power systems for residential loads in hot regions—A step to clean future." Renewable and Sustainable Energy Reviews, vol. 12, no. 2, pp. 488-503, 2008.
  • Xiao, Jin, et al. "Near optimal demand-side energy management under real-time demand-response pricing." Network and Service Management (CNSM), 2010 International Conference on. IEEE, pp. 527-532, 2010.
  • Di Zhanga, Nouri J. Samsatlib, Nilay Shahb, and Lazaros G. Papageorgioua. "Optimal scheduling of smart homes energy consumption with microgrid." ENERGY 2011 : 1st First International Conference on Smart Grids, Green Communications and IT Energy-aware Technologies, pp. 70-75, 2011.
  • Mohsenian-Rad, Amir-Hamed, et al. "Autonomous demand-side management based on game-theoretic energy consumption scheduling for the future smart grid." IEEE Transactions on Smart Grid, vol. 1, no. 3, pp. 320- 331 2010.
  • Barbato, Antimo, et al. "House energy demand optimization in single and multi-user scenarios." IEEE International Conference on Smart Grid Communications (Smart Grid Comm), pp. 345-350, 2011.
  • Castillo-Cagigal, Manuel, et al. "A semi-distributed electric demand-side management system with PV generation for self-consumption enhancement."Energy Conversion and Management, vol. 52, no. 7, pp. 2659- 2666, 2011.
  • Matallanas, E., et al. "Neural network controller for active demand-side management with PV energy in the residential sector." Applied Energy, vol. 91, no.1, pp. 90- 97, 2012.
  • Palma-Behnke, Rodrigo, et al. "Energy management system for a renewable based microgrid with a demand side management mechanism." IEEE symposium on Computational intelligence applications in smart grid (CIASG), 2011.
  • Samadi, Pedram, et al. "Optimal real-time pricing algorithm based on utility maximization for smart grid." First IEEE International Conference on. Smart Grid Communications (SmartGridComm), pp. 415-420, 2010.
  • Barbato, Antimo, et al. "Cooperative and non- cooperative house energy optimization in a smart grid perspective." IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), 2011.
  • Dam, Q. Binh, Salman Mohagheghi, and James Stoupis. "Intelligent demand response scheme for customer side load management." IEEE Energy 2030 Conference, pp. 1-7, 2008.
  • Gudi, Nikhil, Lingfeng Wang, and Vijay Devabhaktuni. "A demand side management based simulation platform incorporating heuristic optimization for management of household appliances." International Journal of Electrical Power & Energy Systems, vol. 43, no.1, pp. 185-193, 2012.
  • Samadi, Pedram, et al. "Utilizing renewable energy resources by adopting DSM techniques and storage facilities." Communications International Conference on. IEEE, 2014. (ICC), 2014 IEEE
  • Narimani, Afsaneh, et al. "Financially optimized scheduling of electric energy storage in presence of renewable energy resources." Power Electronics for Distributed Generation Systems (PEDG), 2015 IEEE 6th International Symposium on. IEEE, 2015.
  • Zhu, Ziming, et al. "A Game Theoretic Optimization Framework Incorporating Local Energy Resources." Industrial Informatics, IEEE Transactions on 11.2 (2015): 353-362.
  • Radhakrishnan, Asha, and M. P. Selvan. "Load scheduling for smart energy management in residential buildings with renewable sources." Power Systems Conference (NPSC), 2014 Eighteenth National. IEEE, 2014.
  • Cicek, Nihan, and Hakan Delic. "Demand Response Management Power." Sustainable Energy, IEEE Transactions on 6.2 (2015): 625-634. Grids With Wind
  • Deng, Ruilong, et al. "A Survey on Demand Response in Smart Grids: Mathematical Models and Approaches."
  • Albadi, Mohamed H., and E. F. El-Saadany. "A
There are 24 citations in total.

Details

Primary Language English
Journal Section Articles
Authors

Sofana Reka S This is me

Ramesh V This is me

Publication Date December 1, 2015
Published in Issue Year 2015 Volume: 5 Issue: 4

Cite

APA S, S. R., & V, R. (2015). A Novel Integrated Approach of Energy Consumption Scheduling in Smart Grid Environment With the Penetration of Renewable Energy. International Journal Of Renewable Energy Research, 5(4), 1196-1205.
AMA S SR, V R. A Novel Integrated Approach of Energy Consumption Scheduling in Smart Grid Environment With the Penetration of Renewable Energy. International Journal Of Renewable Energy Research. December 2015;5(4):1196-1205.
Chicago S, Sofana Reka, and Ramesh V. “A Novel Integrated Approach of Energy Consumption Scheduling in Smart Grid Environment With the Penetration of Renewable Energy”. International Journal Of Renewable Energy Research 5, no. 4 (December 2015): 1196-1205.
EndNote S SR, V R (December 1, 2015) A Novel Integrated Approach of Energy Consumption Scheduling in Smart Grid Environment With the Penetration of Renewable Energy. International Journal Of Renewable Energy Research 5 4 1196–1205.
IEEE S. R. S and R. V, “A Novel Integrated Approach of Energy Consumption Scheduling in Smart Grid Environment With the Penetration of Renewable Energy”, International Journal Of Renewable Energy Research, vol. 5, no. 4, pp. 1196–1205, 2015.
ISNAD S, Sofana Reka - V, Ramesh. “A Novel Integrated Approach of Energy Consumption Scheduling in Smart Grid Environment With the Penetration of Renewable Energy”. International Journal Of Renewable Energy Research 5/4 (December 2015), 1196-1205.
JAMA S SR, V R. A Novel Integrated Approach of Energy Consumption Scheduling in Smart Grid Environment With the Penetration of Renewable Energy. International Journal Of Renewable Energy Research. 2015;5:1196–1205.
MLA S, Sofana Reka and Ramesh V. “A Novel Integrated Approach of Energy Consumption Scheduling in Smart Grid Environment With the Penetration of Renewable Energy”. International Journal Of Renewable Energy Research, vol. 5, no. 4, 2015, pp. 1196-05.
Vancouver S SR, V R. A Novel Integrated Approach of Energy Consumption Scheduling in Smart Grid Environment With the Penetration of Renewable Energy. International Journal Of Renewable Energy Research. 2015;5(4):1196-205.