Optimal sizing and allocation of energy storage in wind power incorporated optimal power flow
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References
- X Wu, X Wang, J Li, A joint operation model and solution for hybrid wind energy storage systems Proc CSEE Vol. 33, pp. 10– 7, 2013.
- H Zechun, D Huajie, K Tao, A joint daily operational model for wind power and pumped-storage plant Automat Electric Power Syst Vol. 36, No. 2, pp. 36-41, 2012.
- H Ding, Zechun Hu, Yonghua Song. Stochastic optimization of the dailyoperation of wind farm and pumped-hydro-storage plant Renewable Energy, Vol. 48, 2012.
- F Capitanescu, M Glavic , Damien Ernest and Louis Wehenkel Interior point based algorithms for the solution of optimal power flow problems –– Electric Power System Research, Vol. 77, pp. 507-518, June 2006
- S Granville, J C Mello, and A C G Melo, Application of Interior Point method to Power flow Unsolvability, IEEE Transactions on Power Systems, Vol. 11, No. 2, pp. 1096-1103, May 1996
- A Bhattacharya, and Pranab Kumar Chattopadhyay, Discussion of A Hybrid Interior Point Assisted Differential Evolution Algorithm for Economic Dispatch, IEEE Transactions On Power Systems, Vol. 27, No. 2, pp. 1142, May 2012.
- W Y Chang, Application of Back Propagation Neural Network for Wind Power Generation Forecasting International Journal of Digital Content Technology and its Application, 7, 502-509, 2013.
- D F Specht, A General Regression Neural Network, IEEE Transactions on Neural Networks, Vol. 2, No. 6, pp. 568–576, November 1991.
- J Shi , J Guo and S Zheng, Evaluation of hybrid forecasting approaches for wind speed and power generation time series Journal of Renewable and Sustainable Energy Reviews, 16, pp. 3471-3480, 2012.
- S Dhivya, M Ulagammai & Kumudini Devi, R P, Performance Evaluation Of Different Ann Models for Medium Term Wind Speed Forecasting, International journal of Wind Engineering, Vol. 35, No. 4, pp. 433-444, 2011.
- E K Akpinar and S Akpinar, Statistical analysis of wind energy potential on the basis of the Weibull and Rayleigh distributions for Agin-Elazig, Turkey. Journal of Power and Energy, 218: pp. 557-565, 2004.
- A N Celik, A statistical analysis of wind power density based on the Weibull and Rayleigh models at the southern region of Turkey. Renewable Energy, Vol. 29, No. 4, pp. 593-604, 2004.
- J Hetzer, Y, C David and Kalu Bhattarai, An Economic Dispatch Model Incorporating Wind Power, IEEE Transactions On Energy Conversion, Vol. 23, No. 2, pp. 603-612, 2008.
- J A Carta, P Ramirez and S Velázquez, A review of wind speed probability distributions used in wind energy analysis: Case studies in the canary islands, Renewable Sustainable Energy Rev., Vol. 13, No. 5, pp. 933-955, 2009.
- U Meyyappan and K D R Pandu, Wavelet Neural Network-based Wind-power Forecasting in Economic Dispatch: A Differential Evolution, Bacterial Foraging Technology, and Primal Dual-interior Point Approach, Electric Power Components and Systems, Vol. 43, No. 13, pp. 1–12, 2015.
- H Akhavan-Hejazi, H Mohsenian-Rad, Optimal operation of independent storage systems in energy and reserve markets with high wind penetration, IEEE Transactions on Smart Grid, Vol. 5, No. 2, pp. 1088-1097.