EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 69 (2018) E3S Web Conf., 69 (2018) 01010 References
Open Access
Issue
E3S Web Conf.
Volume 69, 2018
International Conference Green Energy and Smart Grids (GESG 2018)
Article Number 01010
Number of page(s) 8
Section Properties, Regimes and Development of Renewable Energy Sources
DOI https://doi.org/10.1051/e3sconf/20186901010
Published online 27 November 2018
  1. S. V. Iyer, M. N. Belur, and M. C. Chandorkar, A Generalized Computational Method to Determine Stability of a Multi-inverter Microgrid, IEEE Transactions on Power Electronics, 25, 9, 2420-2432 (2010). [CrossRef] [Google Scholar]
  2. C. H. Zhang et al., An Improved Synchronverter Model and Its Dynamic Behavior Comparison with Synchronous Generator, in Proc. 2nd IET Renewable Power Generation Conference, 1-4 (Beijing, 2013). [Google Scholar]
  3. M. F. M. Arani and Y. A. R. I. Mohamed, Analysis and Mitigation of Undesirable Impacts of Implementing Frequency Support Controllers in Wind Power Generation, IEEE Transactions on Energy Conversion, 31, 1, 174-186 (2016). [CrossRef] [Google Scholar]
  4. S. D’Arco and J. A. Suul, Equivalence of Virtual Synchronous Machines and Frequency-Droops for Converter-Based MicroGrids, IEEE Transactions on Smart Grid, 5, 1, 394-395 (2014). [CrossRef] [Google Scholar]
  5. J. Liu, Y. Miura, and T. Ise, Comparison of Dynamic Characteristics Between Virtual Synchronous Generator and Droop Control in Inverter-Based Distributed Generators, IEEE Transactions on Power Electronics, 31, 5, 3600-3611 (2016). [CrossRef] [Google Scholar]
  6. T. Shintai, Y. Miura, and T. Ise, Oscillation Damping of a Distributed Generator Using a Virtual Synchronous Generator, IEEE Transactions on Power Delivery, 29, 2, 668-676 (2014). [CrossRef] [Google Scholar]
  7. M. Guan, W. Pan, J. Zhang, Q. Hao, J. Cheng, and X. Zheng, Synchronous Generator Emulation Control Strategy for Voltage Source Converter (VSC) Stations, IEEE Transactions on Power Systems, 30, 6, 3093-3101 (2015). [CrossRef] [Google Scholar]
  8. N. Soni, S. Doolla, and M. C. Chandorkar, Inertia Design Methods for Islanded Microgrids Having Static and Rotating Energy Sources, IEEE Transactions on Industry Applications, 52, 6, 5165-5174 (2016). [CrossRef] [Google Scholar]
  9. P. Poonpun and W. T. Jewell, Analysis of the Cost per Kilowatt Hour to Store Electricity, IEEE Transactions on Energy Conversion, 23, 2, 529-534 (2008). [CrossRef] [Google Scholar]
  10. J. Meng, X. Shi, Y. Wang, and C. Fu, A Virtual Synchronous Generator Control Strategy for Distributed Generation, 2014 China International Conference on Electricity Distribution (CICED), 495-498 (Shenzhen, 2014). [Google Scholar]
  11. N. Soni, S. Doolla, and M. C. Chandorkar, Improvement of Transient Response in Microgrids Using Virtual Inertia, IEEE Transactions on Power Delivery, 28, 3, 1830-1838 (2013). [CrossRef] [Google Scholar]
  12. M. A. L. Torres, L. A. C. Lopes, L. A. T. Morán, and J. R. C. Espinoza, Self-Tuning Virtual Synchronous Machine: A Control Strategy for Energy Storage Systems to Support Dynamic Frequency Control, IEEE Transactions on Energy Conversion, 29, 4, 833-840 (2014). [CrossRef] [Google Scholar]
  13. D. Li, Q. Zhu, S. Lin, and X. Y. Bian, A Self-Adaptive Inertia and Damping Combination Control of VSG to Support Frequency Stability, IEEE Transactions on Energy Conversion, 32, 1, 397-398, (2017). [CrossRef] [Google Scholar]
  14. Y. S. Kim, E. S. Kim, and S. I. Moon, Frequency and Voltage Control Strategy of Standalone Microgrids with High Penetration of Intermittent Renewable Generation Systems, IEEE Transactions on Power Systems, 31, 1, 718-728 (2016). [CrossRef] [Google Scholar]
  15. R. B. Bass, J. Carr, J. Aguilar, and K. Whitener, Determining the Power and Energy Capacities of a Battery Energy Storage System to Accommodate High Photovoltaic Penetration on a Distribution Feeder, IEEE Power and Energy Technology Systems Journal, 3, 3, 119-127 (2016). [CrossRef] [Google Scholar]
  16. F. Luo, K. Meng, Z. Y. Dong, Y. Zheng, Y. Chen, and K. P. Wong, Coordinated Operational Planning for Wind Farm With Battery Energy Storage System, IEEE Transactions on Sustainable Energy, 6, 1, 253-262 (2015). [CrossRef] [Google Scholar]
  17. S. J. Lee et al., Coordinated Control Algorithm for Distributed Battery Energy Storage Systems for Mitigating Voltage and Frequency Deviations, IEEE Transactions on Smart Grid, 7, 3, 1713-1722 (2016). [CrossRef] [Google Scholar]
  18. T. Zhou and W. Sun, Optimization of Battery–Supercapacitor Hybrid Energy Storage Station in Wind/Solar Generation System, IEEE Transactions on Sustainable Energy, 5, 2, 408-415 (2014). [CrossRef] [EDP Sciences] [Google Scholar]
  19. J. M. Gantz, S. M. Amin, and A. M. Giacomoni, Optimal Capacity Partitioning of Multi-Use Customer-Premise Energy Storage Systems, IEEE Transactions on Smart Grid, 5, 3, 1292-1299 (2014). [CrossRef] [Google Scholar]
  20. T. A. Nguyen, M. L. Crow, and A. C. Elmore, Optimal Sizing of a Vanadium Redox Battery System for Microgrid Systems, IEEE Transactions on Sustainable Energy, 6, 3, 729-737 (2015). [CrossRef] [Google Scholar]
  21. X. Ke, N. Lu, and C. Jin, Control and Size Energy Storage Systems for Managing Energy Imbalance of Variable Generation Resources, IEEE Transactions on Sustainable Energy, 6, 1, 70-78 (2015). [CrossRef] [Google Scholar]
  22. J.-T. Liao and H.-T. Yang, A novel electrons drifting algorithm for non-linear optimization problems, in Proc. 2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), 155-160 (Changsha, 2016). [Google Scholar]
  23. J.-T. Liao and H.-T. Yang, Novel electron drifting algorithm based BESS scheduling in home energy management system, in Proc. 2016 42nd Annual Conference of the IEEE Industrial Electronics Society (IECON 2016), 3996-4001 (Florence, 2016). [Google Scholar]
  24. C. D. Ahrens, Transition to Very High Share of Renewables in Germany, CSEE Journal of Power and Energy Systems, 3, 1, 17-25 (2017). [CrossRef] [Google Scholar]
  25. Y. M. Atwa and E. F. El-Saadany, Optimal Allocation of ESS in Distribution Systems with a High Penetration of Wind Energy, IEEE Transactions on Power Systems, 25, 4, 1815-1822 (2010). [CrossRef] [Google Scholar]
  26. Y. Yang, H. Li, A. Aichhorn, J. Zheng, and M. Greenleaf, Sizing Strategy of Distributed Battery Storage System With High Penetration of Photovoltaic for Voltage Regulation and Peak Load Shaving, IEEE Transactions on Smart Grid, 5, 2, 982-991 (2014). [CrossRef] [Google Scholar]
  27. PJM, Data Miner, online available: https://dataminer.pjm.com/dataminerui/pages/public/lmp.jsf. [Accessed 21 Apr. 2017]. [Google Scholar]
  28. PowerWorld Corporation, Transient Models, online available: https://www.powerworld.com/WebHelp/Default.htm. [Accessed 19 Apr. 2017]. [Google Scholar]
  29. American National Standards Institute, IEEE Recommended Practice for Excitation System Models for Power System Stability Studies, IEEE Std 421.5-2005 (Revision of IEEE Std 421.5-1992), 1-93 (2006). [Google Scholar]
  30. Shahidehpour, Mohammad, and Yaoyu Wang, Appendix C: IEEE‐30 Bus System Data, Communication and Control in Electric Power Systems: 493-495 (2005). [CrossRef] [Google Scholar]
  31. Y. Y. Hong and R. C. Lian, Optimal Sizing of Hybrid Wind/PV/Diesel Generation in a Stand-Alone Power System Using Markov-Based Genetic Algorithm, IEEE Transactions on Power Delivery, 27, 2, 640-647 (2012). [CrossRef] [Google Scholar]
  32. M. Sedghi, A. Ahmadian, and M. Aliakbar-Golkar, Optimal Storage Planning in Active Distribution Network Considering Uncertainty of Wind Power Distributed Generation, IEEE Transactions on Power Systems, 31, 1, 304-316 (2016). [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.