Contingency Assessment for Power System Integrated with Wind Power
Keywords:
Contingency analysis, Wind power, Weibull and Rayleigh distribution, Iraqi wind farms, PSS/EAbstract
Electric demand in the last few years has widely increased, especially in Iraq, where there is a significant difference between the generation and the load in almost all months of the year, particularly in the summer season. One of the important aspects where the operational engineers must take appropriate action in case of an unforeseen catastrophe is power system security. Consequently, the security of the power system depends on the contingency analysis. In order to investigate the impact of wind power on the contingency analysis, three wind farms (WFs) are selected based on the wind's speed availability in Iraq, which are Shaikh Saad, Al-Dujaili, and Al-Fajar. In addition, the wind speeds for these locations are analysed using the Weibull and Rayleigh probability density functions. In this regard, this paper studied and analysed the impact of integrating wind power on the operation of the 132 kV Iraqi grid systems (zone 18). The results show that when line outage contingencies occur (single- and double-line outages), the risk of power flow violations based on the MVA rating will be reduced when integrating wind energy with a 100% integration rate with the Iraqi grid system. Matlab, a programming language, and the Power System Simulator for Engineering (PSS/E) software (Version 32) are used to simulate the proposed approach of integrating wind power into the grid.
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P. Sekhar and S. Mohanty, “Power system contingency ranking using Newton Raphson load flow method,” 2013 Annual IEEE India Conference (INDICON) 2013, pp. 1–4, 2013, doi: 10.1109/INDCON.2013.6725912.
A. Mishra and V. N. K. Gundavarapu, “Contingency management of power system with Interline Power Flow Controller using Real Power Performance Index and Line Stability Index,” Ain Shams Engineering Journal, vol. 7, no. 1, pp. 209–222, 2016, doi: 10.1016/j.asej.2015.11.004.
K. Hua, “Probabilistic Power System Contingency Analysis Considering Wind,” Queensland University of Technology, Australia, 2014.
D. K. Panda and S. Das, “Economic operational analytics for energy storage placement at different grid locations and contingency scenarios with stochastic wind profiles,” Renewable and Sustainable Energy Reviews, vol. 137, no. xxxx, p. 110474, 2021, doi: 10.1016/j.rser.2020.110474.
L. Bai, F. Li, T. Jiang, and H. Jia, “Robust Scheduling for Wind Integrated Energy Systems Considering Gas Pipeline and Power Transmission N-1 Contingencies,” IEEE Transactions on Power Systems, vol. 32, no. 2, pp. 1582–1584, 2017, doi: 10.1109/TPWRS.2016.2582684.
Z. Zhang, Y. Chen, X. Liu, and W. Wang, “Two-Stage Robust Security-Constrained Unit Commitment Model Considering Time Autocorrelation of Wind/Load Prediction Error and Outage Contingency Probability of Units,” IEEE Access, vol. 7, pp. 25398–25408, 2019, doi: 10.1109/ACCESS.2019.2900254.
K. Q. Hua, A. Vahidnia, Y. Mishra, and G. Ledwich, “Efficient probabilistic contingency analysis through a stability measure considering wind perturbation,” IET Generation, Transmission & Distribution, vol. 10, no. 4, pp. 897–905, 2016, doi: 10.1049/iet-gtd.2015.0496.
F. H. Mahmood, A. K. Resen, and A. B. Khamees, “Wind characteristic analysis based on Weibull distribution of Al-Salman site, Iraq,” Energy reports, vol. 6, pp. 79–87, 2020.
A. Parajuli, “A statistical analysis of wind speed and power density based on Weibull and Rayleigh models of Jumla, Nepal,” Energy and Power Engineering, vol. 8, no. 7, pp. 271–282, 2016.
B. Hoxha, R. Selimaj, and S. Osmanaj, “An experimental study of Weibull and Rayleigh distribution functions of wind speeds in Kosovo,” TELKOMNIKA (Telecommunication Computing Electronics and Control), vol. 16, no. 5, pp. 2451–2457, 2018.
P. Naik, “Power System Contingency Ranking Using Newton Raphson Load Flow Method and Its Prediction Using Soft Computing Techniques Power System Contingency Ranking Using Newton Raphson Load Flow Method and Its Prediction Using Soft Computing Techniques,” PhD Thesis, National Institute of Technology, India ,2014.
B. Banerjee, D. Jayaweera, and S. Islam, “Assessment of post-contingency congestion risk of wind power with asset dynamic ratings,” International Journal of Electrical Power & Energy Systems, vol. 69, pp. 295–303, 2015, doi: 10.1016/j.ijepes.2014.12.088.
Wisam Abd Mohammed Al-Shohani, “Numerical Analysis of a Modefid Airfoil for Wind Turbine,” Diyala Journal of Engineering Sciences, vol. 7, no. 2, pp. 83–79, 2014, doi: 10.24237/djes.2014.07206.
H. Idan Hussein and A. Majeed Ghadhban, “Hybrid Pv/Wind/Battery/Diesel Generator Energy System for Hyderabad City, Pakistan,” Diyala Journal of Engineering Sciences, vol. 8, no. 3, pp. 124–138, 2015, doi: 10.24237/djes.2015.08311.
Yasir G. Rashid, Firas M. Tuaimah and Karwan J. Mohammed, 2019. “Assessment of Integrating Wind Energy System on Iraqi Power Grid Capability Limit,”. Journal of Engineering and Applied Sciences, 14: 5942-5954.
Yasir G. Rashid, “Impact of Wind Power on Iraqi Power Grid.” M.Sc Thesis, Baghdad University, Iraq, 2019.
Hassan, Yasser Falah, Yasir Ghazi Rashid, and Firas Mohammed Tuaimah. “Demand Priority in a Power System With Wind Power Contribution Load Shedding Scheme Based.” Journal of Engineering (17264073) 25.11, 2019.
H. Bidaoui, I. El Abbassi, A. El Bouardi, and A. Darcherif, “Wind Speed Data Analysis Using Weibull and Rayleigh Distribution Functions, Case Study: Five Cities Northern Morocco,” Procedia Manuf., vol. 32, pp. 786–793, 2019, doi: 10.1016/j.promfg.2019.02.286.
Data from Iraqi Ministry of Science and Technology of Iraq, 2016.
Vestas V136-3.45. (2015, Nov. 9). wind-turbine-models [Online]. Available: https://en.wind-turbine-models.com/turbines/1282-vestas-v136-3.45
Iraqi National operation and control centre, Ministry of Iraqi Electricity, 2022
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Copyright (c) 2023 Yasir G. Rashid, Firas Mohammed Tuaimah, Mohamed Salem
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