Modelling Steady State and Transient Stability Parameters for Kainji Hydropower Station, Nigeria

Abstract:

The study explores the creation of a simulator for addressing the problem of predicting response of Nigeria’s Kainji’s Hydro Power Plant (KHPP) to system load variations and to determine parameters for stable operation. A virtual KHPP Simulation Model was designed and created using MatLab/Simulink software. The components of the HSS designed and incorporated in the virtual simulator include models of all eight (8) generating units (GUs). Each GU model consists of the Hydraulic Turbine Governor (PID), synchronous generator and an excitation system. The simulator was tested with steady state stability (SSS) and transient stability (TS) disturbances to obtain response values of system operating state parameters. The tests include a variable load increase, and three-phase short circuit fault for a duration of 0.2 s. The SSS limits established are the following: active load – 810 MW, load angle – 85⁰, terminal voltage 0.68 pu, rotor speed 1.08 pu, excitation voltage 1.55 pu, and stator current 7.5 pu. TS limits established are load angle (170⁰), terminal voltage (0.60 pu), rotor speed (1.05) pu, excitation voltage (1.25 pu), stator current (7.1 pu), and critical clearing time (0.2s). Clearing time should be set at 0.2s to prevent KHPP and connected system’s instability.

• Periodical: Advanced Engineering Forum (Volume 52)
• Pages: 117-128
• DOI: https://doi.org/10.4028/p-p7snNz
• Online since: July 2024
• Authors: John O. Onimisi*, Adegoke Oladipo Melodi, Michael Rotimi Adu
• Keywords: Excitation System, Hydraulic Turbine Governor, Hydro Power Plant, Steady State Stability, Synchronous Generator, Transient Stability

References

[1] M. Panagiotis, Modeling and Optimization of a Hydroelectric Power Plant for a National Grid Power System Supply, Case Study: Stratos Hydroelectric Dam, Journal of Power and Energy Engineering, (2020) Vol.8 No.8.

[2] S. L. Gbadamosi and A. Ojo, Dynamic Modeling and Simulation of Shiroro Hydro Power Plant in Nigeria using MATLAB/SIMULINK, International Journal of Scientific and Engineering Research, (2015) vol.6, no. 8, p.948.

[3] A. O. Melodi, Analysis of Generating Capacity Dynamics of the Nigerian Power System between 1963 and 2020, Advanced Materials Research (Vols. 62-64), (2009) pp.114-119.

DOI: 10.4028/www.scientific.net/amr.62-64.114

[4] A. O. Melodi, J. A. Momoh and O. M. Adeyanju, Nigerian 330 kV 38 bus Transmission Network 10-year Expansion Planning under Probabilistic Load Forecasts, Journal of Electrical Engineering, (2018) vol. 100, no. 4, pp.2717-2724.

DOI: 10.1007/s00202-018-0735-3

[5] Mathworks, "Products and Services," The MathWorks, Inc., 19 9 2023. [Online]. Available: https://www.mathworks.com/products.html?s_tid=gn_ps. [Accessed 19 9 2023].

[6] X.-F. Wang, Y. Song and M. Irving, Modern Power Systems Analysis, New York: Springer, (2008).

DOI: 10.1007/978-0-387-72853-7

[7] G. A. Munoz-Hernandez and D. I. Jones, "Modeling, Simulation and Control of a Hydroelectric Pumped Storage Power Station," University of Bath, Bath, United Kingdom, 2004

DOI: 10.1109/CONIEL.2005.49

[8] G. Singh and D. S. Chauhan, "Simulation and Modeling of Hydro Power Plant to Study Time Response during Different Gate States," International Journal of Advanced Engineering Sciences and Technologies (IJAEST), (2011) vol.10, issue no.1, pp.42-47.

[9] G. A. M. Hernandez, S. P. Mansoor and D. L. Jones, Modeling and Controlling Hydro Power Plant, London: Springer, 2013

DOI: 10.1007/978-1-4471-2291-3

[10] P. Sridhar and K. B. Prasad, Fault Analysis in Hydro Power Plant Using Matlab / Simulink, International Journal of Electrical Engineering and Technology, (2014) vol. 5, no. 5, pp.89-99.

[11] M. Saunders, P. Lewis, and A. Thornhill, Research Methods for Business Students, sixth ed., Pearson Education Limited, Harlow, 2012.

[12] M. Singh and A. Chandra, Modeling and Control of Isolated Micro-Hydro Power Plant with Battery Storage System, National Power Electronic Conference, Roorkee, India. International Journal of Computer Applications, (2010) 108(18): 0975 - 8887

DOI: 10.5120/19014-0541

[13] V. D. Vournas, Second order hydraulic turbine models for multi-machine stability studies, IEEE Trans Energy Conv 1990; (2007) 5: pp.239-244.

DOI: 10.1109/60.107216

[14] T.S. Abdulkadir, A. W. Salami, A. R. Anwar, and A. G. Kareem, Modelling of Hydropower Reservoir Variables for Energy Generation: Neural Network Approach, Ethiopian Journal of Environmental Studies, and Management (2013) Vol. 6 No.3.

DOI: 10.4314/ejesm.v6i3.12

[15] D.G. Ramey and J.W. Skooglund, Detailed Hydro Governor Representation for System Stability studies. IEEE Trans on Power Apparatus and Systems, (1970) 89:106-112.

DOI: 10.1109/TPAS.1970.292676

[16] A.W. Salami and B. F. Sule, Optimal Water Management Modeling for Hydro Power System on River Niger in Nigeria, Annals of Faculty Engineering, International Journal of Engineering, Tome X, Fascicule 1, Hunedoara, Romania, (2012) (ISSN 1584-2665) pp.185-192,.

[17] H. Algarvio, F. Lopes, and J. Santana, Strategic Operation of Hydroelectric Power Plants in Energy Markets: A Model and a Study on the Hydro-Wind Balance: A Model and a Study on the Hydro-Wind Balance. Fluids (2020) 5, 209.

DOI: 10.3390/fluids5040209

[18] G. Shahgholian, An Overview of Hydroelectric Power Plant: Operation, Modeling, and Control. Journal of Renewable Energy and Environment, (2020), 7(3), 14-28. https://doi.org/.

[19] V. Nikitin, N. Abasov and E. Osipchuk, Modeling of Long-term Operating Regimes of Hydro Power Plants as Part of Energy and Water Systems in the Context of Uncertainty, E3S Web Conf., 209 (2020) 05014.

DOI: 10.1051/e3sconf/202020905014