Skip to main content
Have a personal or library account? Click to login
Economic Scheduling of Microgrid Based on Energy Management and Demand Response Cover

Economic Scheduling of Microgrid Based on Energy Management and Demand Response

Open Access
|Mar 2019

References

  1. [1] H. Chamandoust, A. Hashemi, G. Derakhshan and B. Abdi, “Optimal Hybrid System Design Based on Renewable Energy Resources”, 2017 Smart Grid Conference (SGC), Dec. 2017. https://doi.org/10.1109/SGC.2017.830887810.1109/SGC.2017.8308878
  2. [2] O. Veligorskyi, O. Husev, V. Shevchenko, K. Tytelmaier, R. Yershov, R. Kosenko, and D. Vinnikov, “A Novel Hysteresis Power Point Optimizer for Distributed Solar Power Generation”, Electrical, Control and Communication Engineering, vol. 14, no. 1, pp. 12–22, 2018. https://doi.org/10.2478/ecce-2018-000210.2478/ecce-2018-0002
  3. [3] L. Sigrist et al., “Island Power Systems”, CRC Press, 2016. https://doi.org/10.1201/978131536874010.1201/9781315368740
  4. [4] H. Sun et al., “Smarter Energy: from Smart Metering to the Smart Grid”, IET Digital Library, 2016.10.1049/PBPO088E
  5. [5] P. Jokar, N. Arianpoo, and V. C. M. Leung, “Electricity Theft Detection in AMI Using Customers’ Consumption Patterns”, IEEE Trans. on Smart Grid, vol. 7, no. 1, pp. 216–226, 2015. https://doi.org/10.1109/TSG.2015.242522210.1109/TSG.2015.2425222
  6. [6] S. Wang, Z. Li, L. Wu, M. Shahidehpour and Z. Li, “New metrics for assessing the reliability and economics of microgrids in distribution system”, IEEE Trans. Power Syst., vol. 28, no. 3, pp. 2852–2861, 2013. https://doi.org/10.1109/TPWRS.2013.224953910.1109/TPWRS.2013.2249539
  7. [7] C. Marnay, and G. Venkataramanan, “Microgrids in the evolving electricity generation and delivery infrastructure,” Conf. 2006 IEEE Power Engineering Society General Meeting, pp. 1–5, Jun. 2006. https://doi.org/10.1109/PES.2006.170952910.1109/PES.2006.1709529
  8. [8] T. Logenthiran, D. Srinivasan and A. Khambadkone, “Multi-agent system for energy resource scheduling of integrated microgrids in a distributed system,” Electric Power Systems Research, vol. 81, no. 1, pp. 138–148, 2011. https://doi.org/10.1016/j.epsr.2010.07.01910.1016/j.epsr.2010.07.019
  9. [9] A. K. Basu, S. Chowdhury and S. P. Chowdhury, “Impact of strategic deployment of CHP-based DERs on microgrid reliability,” IEEE Trans. on Power Delivery, vol. 25, no. 3, pp. 1697–1705, 2010. https://doi.org/10.1109/TPWRD.2010.204712110.1109/TPWRD.2010.2047121
  10. [10] C. Chen, et al., “Smart Energy Management System for Optimal Microgrid Economic Operation”. IET Renewable Power Generation, vol. 5, no. 3, pp. 258–267, 2011. https://doi.org/10.1049/iet-rpg.2010.005210.1049/iet-rpg.2010.0052
  11. [11] H. A. Aalami, M. Parsa Moghaddam and G. R. Yousefi, “Demand response modeling considering interruptible/curtailable loads and capacity market programs,” Applied Energy, vol. 87, no. 1, pp. 243–250, 2010. https://doi.org/10.1016/j.apenergy.2009.05.04110.1016/j.apenergy.2009.05.041
  12. [12] S. Sen, S. Chanda, S. Sengupta and A. De, “Demand response governed swarm intelligent grid scheduling framework for social welfare,” International Journal of Electrical Power & Energy Systems, vol. 78, pp. 783–792, 2016. https://doi.org/10.1016/j.ijepes.2015.12.01310.1016/j.ijepes.2015.12.013
  13. [13] F. Shariatzadeh, P. Mandal and A. K. Srivastava, “Demand response for sustainable energy systems: A review, application and implementation strategy,” Renewable and Sustainable Energy Reviews, vol. 45, pp. 343–350, 2015. https://doi.org/10.1016/j.rser.2015.01.06210.1016/j.rser.2015.01.062
  14. [14] S. Buryk, D. Mead, S. Mourato and J. Torriti, “Investigating preferences for dynamic electricity tariffs: The effect of environmental and system benefit disclosure,” Energy Policy, vol. 80, pp. 190–195, 2015. https://doi.org/10.1016/j.enpol.2015.01.03010.1016/j.enpol.2015.01.030
  15. [15] M. Nazari-Heris, S. Abapour and B. Mohammadi-Ivatloo, “Optimal economic dispatch of FC-CHP based heat and power micro-grids”, Applied Thermal Engineering, vol. 114, pp. 756–769, 2017. https://doi.org/10.1016/j.applthermaleng.2016.12.01610.1016/j.applthermaleng.2016.12.016
  16. [16] G. Derakhshan, H. A. Shayanfar, and A. Kazemi, “The optimization of demand response programs in smart grids”, Energy Policy, vol. 94, no. 9, pp. 295–306, 2016. https://doi.org/10.1016/j.enpol.2016.04.00910.1016/j.enpol.2016.04.009
  17. [17] G. R. Aghajani, H. A. Shayanfar, and H. Shayeghi, “Demand side management in a smart micro-grid in the presence of renewable generation and demand response”, Energy, vol. 126, pp. 622–637, 2017. https://doi.org/10.1016/j.energy.2017.03.05110.1016/j.energy.2017.03.051
  18. [18] G. S. Piperagkas, A. G. Anastasiadis, and N. D. Hatziargyriou, “Stochastic PSO-based heat and power dispatch under environmental constraints incorporating CHP and wind power units”, Electric Power Systems Research, vol. 81, no. 1, pp. 209–218, 2011. https://doi.org/10.1016/j.epsr.2010.08.00910.1016/j.epsr.2010.08.009
  19. [19] L. Chunyang et al., “Economic scheduling model of microgrid considering the lifetime of batteries”, IET Generation, Transmission & Distribution. vol. 11, no. 3, 2017. https://doi.org/10.1049/iet-gtd.2016.077210.1049/iet-gtd.2016.0772
  20. [20] G. Cau, D. Cocco, M. Petrollese, S. K. Kaer, and C. Milan, “Energy management strategy based on short-term generation scheduling for a renewable microgrid using a hydrogen storage system”, Energy Conversion and Management, vol. 87, pp. 820–831, 2014. https://doi.org/10.1016/j.enconman.2014.07.07810.1016/j.enconman.2014.07.078
  21. [21] G. Mavrotas, “Generation of efficient solutions in multiobjective mathematical programming problems using GAMS”. http://www.gams.com
  22. [22] G. Mavrotas, “Effective implementation of the e-constraint method in multiobjective mathematical programming problems”, Applied Mathematics and Computation, vol. 213, no. 2, pp. 455–465, 2009. https://doi.org/10.1016/j.amc.2009.03.03710.1016/j.amc.2009.03.037
  23. [23] R. Yu, W. Yang, and S. Rahardja, “A statistical demand-price model with its application in optimal real-time price,” IEEE Trans. Smart Grid, vol. 3, no. 4, pp. 1734–1742, 2012. https://doi.org/10.1109/TSG.2012.221740010.1109/TSG.2012.2217400
Language: English
Page range: 100 - 107
Published on: Mar 12, 2019
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2019 Heydar Chamandoust, published by Riga Technical University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.