Wind energy in Egypt — Capacity assessment and analyzing penetration impact on grid frequency

Renewable energies integration in modern power systems is the main available solution to overcome the several problems caused by conventional generation. Promising wind speed data obtained in many locations in Egypt encouraged the government to initiate comprehensive studies and projects to analyze the system performance at different levels of expected wind energy penetration. Estimating the new conventional capacity after wind energy integration is still a disputing topic. In addition, literature has not offered yet a concrete methodology to determine specifications and number of WTs suitable for certain location to achieve the optimum harvested energy. This paper proposes a feasible algorithm to estimate the new conventional generation capacity after the integration of several wind farms at different locations. The wind turbine type matching with concerned locations is implied through a well defined method. Grid frequency response is examined at certain frequency excursion event to emphasis the impact of wind farms connection and the conventional generation capacity mitigation on frequency performance. Egyptian case study real data is utilized to implement offered approaches. Simulation environments are Matlab and Simulink.

[1]  Ayman Attya,et al.  Penetration impact of wind farms equipped with frequency variations ride through algorithm on power system frequency response , 2012 .

[2]  Jake Badger,et al.  Wind Atlas for Egypt , 2005 .

[3]  Z. J. Meng An improved equivalent wind method for the aggregation of DFIG wind turbines , 2010, 2010 International Conference on Power System Technology.

[4]  I. Hiskens,et al.  Dynamics of Type-3 Wind Turbine Generator Models , 2012, IEEE Transactions on Power Systems.

[5]  Tomonobu Senjyu,et al.  Output power control of wind turbine generator by pitch angle control using minimum variance control , 2004 .

[6]  D.R. Joshi,et al.  A Novel Method to Estimate the O&M Costs for the Financial Planning of the Wind Power Projects Based on Wind Speed—A Case Study , 2010, IEEE Transactions on Energy Conversion.

[7]  H. Banakar,et al.  Kinetic Energy of Wind-Turbine Generators for System Frequency Support , 2009, IEEE Transactions on Power Systems.

[8]  A. B. Attya,et al.  Evaluation of wind turbines dynamic model parameters using published manufacturer product data , 2012, 2012 IEEE International Energy Conference and Exhibition (ENERGYCON).

[9]  I. A. Gowaid,et al.  Improved inertia and frequency support from grid-connected DFIG wind farms , 2011, 2011 IEEE/PES Power Systems Conference and Exposition.

[10]  N. Jenkins,et al.  Comparison of the response of doubly fed and fixed-speed induction generator wind turbines to changes in network frequency , 2004, IEEE Transactions on Energy Conversion.

[11]  Le-Ren Chang-Chien,et al.  Strategies for Operating Wind Power in a Similar Manner of Conventional Power Plant , 2009, IEEE Transactions on Energy Conversion.

[12]  P. Kundur,et al.  Power system stability and control , 1994 .

[13]  Ian A. Hiskens Dynamics of type-3 wind turbine generator models , 2012, PES 2012.

[14]  M. M. Hassan,et al.  Parameter Estimation and Dynamic Simulation Of Gas Turbine Model In Combined Cycle Power Plants Based On Actual Operational Data , 2011 .

[15]  Ieee Report,et al.  Dynamic Models for Steam and Hydro Turbines in Power System Studies , 1973 .

[16]  A Keane,et al.  Capacity Value of Wind Power , 2011, IEEE Transactions on Power Systems.

[17]  R. Castro,et al.  A Comparison Between Chronological and Probabilistic Methods to Estimate Wind Power Capacity Credit , 2001, IEEE Power Engineering Review.

[18]  J.A.P. Lopes,et al.  Participation of Doubly Fed Induction Wind Generators in System Frequency Regulation , 2007, IEEE Transactions on Power Systems.

[19]  P. Veers,et al.  To Capture the Wind , 2007, IEEE Power and Energy Magazine.

[20]  Ervin Bossanyi,et al.  Wind Energy Handbook , 2001 .

[21]  A. B. Attya,et al.  Generation of high resolution wind speeds and wind speed arrays inside a wind farm based on real site data , 2011, 11th International Conference on Electrical Power Quality and Utilisation.