EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 87 (2019) E3S Web Conf., 87 (2019) 01007 References
Open Access
Issue
E3S Web Conf.
Volume 87, 2019
1st International Conference on Sustainable Energy and Future Electric Transportation (SeFet 2019)
Article Number 01007
Number of page(s) 6
DOI https://doi.org/10.1051/e3sconf/20198701007
Published online 22 February 2019
  1. M. Meiqin, S. Shujuan, L. Chang, Economic analysis of the microgrid with multi-energy and electric vehicles, 8th International Conference on Power Electronics - ECCE Asia, Jeju, 2011, pp. 2067-2072. [Google Scholar]
  2. Renewable Energy Policy Network or the 21st Century, Renewables 2017 Global Status Report, Technical Report. Available. [Online]: http://www.ren21.net/wp-content/uploads/2017/06/17-8399_GSR_2017_Full_Report_0621_Opt.pdf [Google Scholar]
  3. M. Modiri-Delshad and N. A. Rahim, Optimal operation of microgrid systems, 3rd IET International Conference on Clean Energy and Technology, Kuching, 2014, pp. 1-6. [Google Scholar]
  4. N. Karthik, A.K. Parvathy, R. Arul, Optimal Operation of Microgrids-A Survey, International Journal of Applied Power Engineering, vol. 7, no. 2, pp. 179-185, Aug. 2018. [Google Scholar]
  5. Y. Wang, Y. Huang, Y. Wang, F. Li, Y. Zhang, C. Tian, Operation Optimization in a Smart Micro-Grid in the Presence of Distributed Generation and Demand Response, Sustainability, vol. 10, pp. 1-25, 2018. [Google Scholar]
  6. J. Wu, Z. Wu, F. Wu, X. Mao, A power balancing method of distributed generation and electric vehicle charging for minimizing operation cost of distribution systems with uncertainties, Energy Science and Engineering, vol. 5, no. 3, pp. 167-179, 2017. [CrossRef] [Google Scholar]
  7. F. Farzan, M.A. Jafari, R. Masiello, Y. Lu, Toward Optimal Day-Ahead Scheduling and Operation Control of Microgrids Under Uncertainty, IEEE Transactions on Smart Grid, vol. 6, no. 2, pp. 499-507, Mar. 2015. [Google Scholar]
  8. K. Ranjbar, M.M. Ghahderijani, S.M. Barakati, Effects of Time-Of-Use Demand Response Programs Based on Optimal Operation of a MicroGrid in Market Environment, International Journal of Academic Research in Applied Science, vol. 2, no. 5, pp. 1-12, 2013. [Google Scholar]
  9. A. Hussain, V.H. Bui, H.M. Kim, Impact Analysis of Demand Response Intensity and Energy Storage Size on Operation of Networked Microgrids, Energies, vol. 10, no. 7, pp. 1-19, 2017. [Google Scholar]
  10. H. Shayeghi, E. Shahryari, Optimal Operation Management of Grid-connected Microgrid Using Multi-Objective Group Search Optimization Algorithm, Journal of Operation and Automation in Power Engineering, vol. 5, no. 2, pp. 227-239, Dec. 2017. [Google Scholar]
  11. S. Maghsudlu, S. Mohammadi, Optimal scheduled unit commitment considering suitable power of electric vehicle and photovoltaic uncertainty, Journal of Renewable and Sustainable Energy, vol. 10, no. 4, 2018. [CrossRef] [Google Scholar]
  12. M. Ghahremani, M.N. Heris, K. Zare, B. Mohammadiivatloo, Energy Management of Electric Vehicles Parking in a Power Distribution Network Using Robust Optimization Method, Journal of Energy Management and Technology, vol. 2, no. 3, pp. 22-30, 2018. [Google Scholar]
  13. D. Thomas, O. Deblecker, C.S. Ioakimidis, Optimal operation of an energy management system for a grid-connected smart building considering photovoltaics’ uncertainty and stochastic electric vehicles’ driving schedule, Applied Energy, vol. 210, pp. 1188-1206, 2018. [Google Scholar]
  14. A. Maulik, D. Das, Optimal operation of microgrid using four different optimization techniques, Sustainable Energy Technologies and Assessments, vol. 21, pp. 100-120, Jun. 2017. [CrossRef] [Google Scholar]
  15. A. Gheiratmand, E. Ayoubi, M. Sarlak, “Optimal operation of micro-grid in presence of renewable resources and compressed air energy storage,” Conference on Electrical Power Distribution Networks Conference, Semnan, 2017, pp. 131-136. [Google Scholar]
  16. W. Liu, D. Wang, X. Yu, H. Jia, W. Wang, X. Yang, Y. Zhi, Optimal Scheduling of Multi-Source Microgrid Considering Power to Gas Technology and Wind Power Uncertainty, Energy Procedia, vol. 143, pp. 668-673, 2017. [Google Scholar]
  17. Y. Aiwei, X. Congwei, J. Liwei, A Joint Scheduling Optimization Model for Wind Power and Energy Storage Systems considering Carbon Emissions Trading and Demand Response, Mathematical Problems in Engineering, vol. 2016, pp. 1-10, 2016. [Google Scholar]
  18. S.S. Reddy, J.Y. Park, C.M. Jung, “Optimal Operation of Microgrid Using Hybrid Differential Evolution and Harmony Search Algorithm”, Frontiers in Energy, vol. 10, no. 3, pp. 355-362, Sept. 2016. [CrossRef] [Google Scholar]
  19. M. Meiqin, J. Meihong, D. Wei, L. Chang, Multi-objective economic dispatch model for a microgrid considering reliability, The 2nd International Symposium on Power Electronics for Distributed Generation Systems, Hefei, 2010, pp. 993-998. [Google Scholar]
  20. C. Huang, D. Yue, S. Deng, J. Xie, Optimal Scheduling of Microgrid with Multiple Distributed Resources Using Interval Optimization, Energies, vol. 10, no. 3, pp. 1-23, 2017. [Google Scholar]
  21. A. Arabali, M. Ghofrani, M.E. Amoli, Cost analysis of a power system using probabilistic optimal power flow with energy storage integration and wind generation, Electrical Power and Energy Systems, vol. 53, pp. 832-841, 2013. [CrossRef] [Google Scholar]
  22. J.G. Vlachogiannis, Probabilistic Constrained Load Flow Considering Integration of Wind Power Generation and Electric Vehicles, IEEE Transactions on Power Systems, vol. 24, no. 4, pp. 1808-1817, Nov. 2009. [CrossRef] [Google Scholar]
  23. R.A. Osama, A.Y. Abdelaziz, R.A. Swief, M. Ezzat, Microgrid self adequacy optimization using back tracking search algorithm, IEEE Power & Energy Society General Meeting, Denver, CO, 2015, pp. 1-5. [Google Scholar]
  24. J. Wu, Z. Wu, F. Wu, X. Mao, A power balancing method of distributed generation and electric vehicle charging for minimizing operation cost of distribution systems with uncertainties, Energy Science and Engineering, vol. 5, no. 3, pp. 167-179, 2017. [CrossRef] [Google Scholar]
  25. A.A. Moghaddam, A. Seifi, T. Niknam, Multi-operation management of a typical micro-grids using Particle Swarm Optimization: A comparative study, Renewable and Sustainable Energy Reviews, vol. 16, pp. 1268-1281, 2012. [CrossRef] [Google Scholar]
  26. J. Chen, X. Yang, L. Zhu, M. Zhang, Study on Microgrid Multi-objective Economic Operation Optimization, International Journal of Advancements in Computing Technology, vol. 5, no. 8, pp. 1218-1229, Apr. 2013. [Google Scholar]
  27. P.E. Gill, W. Murray, M.A. Saunders, Snopt: An sqp algorithm for large-scale constrained optimization, SIAM review, vol. 47, no. 1, pp. 99-131, 2005. [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.