A Novel Design of Decentralized LFC to Enhance Frequency Stability of Egypt Power System Including Wind Farms
This paper presents a real hybrid power system in Egypt, which includes both conventional generation units and Renewable Energy Sources (RESs) for studying the Load Frequency Control (LFC) problem. The conventional generation system in the Egyptian Power System (EPS) is decomposed into three dynamic subsystems; non-reheat, reheat and hydro power plants. Moreover, real wind speed data extracted from Zafarana location in Egypt is used for achieving a realistic wind power study. Each subsystem of the EPS has its own characteristics compared to the others. Moreover, the physical constraints of the governors and turbines such as Generation Rate Constraints (GRCs) of power plants and speed governor dead band (i.e., backlash) are taken into consideration. Therefore, this paper proposes a decentralized controller for each subsystem independently, to guarantee the stability of the overall closed-loop system. Hence, an optimal PID controller-based Particle Swarm Optimization (PSO) algorithm is proposed for every subsystem separately to regulate the frequency and track the load demands of the EPS. The performance of the proposed decentralized controller of each subsystem is compared to the centralized one under different operational scenarios. The EPS is tested using the nonlinear simulation by Matlab/SIMULINK. The obtained results reveal the superior robustness of the proposed decentralized controller against different load disturbance patterns, real wind power fluctuations and EPS uncertainties.
Copyright © 2018 Praise Worthy Prize - All rights reserved.
H. Bevrani, Robust Power System Frequency Control (New York, Springer, 2nd edition, 2014).
T. Kerdphol, F. S. Rahman, Y. Mitani, k. Hongesombut, S. Kufeoglu, Virtual Inertia Control-Based Model Predictive Control for Microgrid Frequency Stabilization Considering High Renewable Energy Integration, Sustainability, vol. 9 n. 5, 2017, pp. 1-21.
P. Kundur, Power System Stability and Control (New Delhi: Tata McGraw-Hill Education, 5th reprint, 2008).
Y. Sun, Y. Wang, Z. Wei, G. Sun, X. Wu, Robust Hꝏ load frequency control of multi-area power system with time delay: A sliding mode control approach, IEEE/CAA Journal of Automatica Sinica, vol. 5 n. 2, 2018, pp. 1-8.
H. Yousef, Adaptive fuzzy logic load frequency control of multi-area power system, Electrical power and Energy Systems, vol. 68 n. 1, 2015, pp. 384-395.
S. H. Shahalami, D. Farsi, Analysis of Load Frequency Control in a restructured multi-area power system with the Kalman filter and the LQR controller, International Journal of Electronics and Communications, vol. 86 n. 1, 2018, pp. 25-46.
Raheel Ali, Tarek Hasan Mohamed, Yaser Soliman Qudaih, Y. Mitani, A new load frequency control approach in an isolated small power system using coefficient diagram method, International Journal Electrical Power and Energy Systems vol. 56 n. 1, 2014, pp. 110-116.
P. Garasi, Y. Qudaih, R. Ali, M. Watanabe, Y. Mitani, Coefficient Diagram Method Based Load Frequency Control for a Modern Power System, Journal of Electronic Science and Technology, vol. 12 n. 3, 2014, pp. 270-276.
T.H. Mohamed, G. Shabib, H. Ali, Distributed load frequency control in an interconnected power system using ecological technique and coefficient diagram method, International Journal Electrical Power and Energy Systems vol. 82 n. 1, pp. 110-116, 2016.
A.B. Kunya, M. Argin, Model Predictive Load Frequency Control of Multi-Area Interconnected Power System, IEEE Conf., Texas Power, and Energy Conference (TPEC)~College Station~ February 8-9, 2018, TX, USA.
G. Shabib, E.H. Abd-Elhamed, G. Magdy, Robust Digital Redesign of Continuous PID Controller for Power System Using Plant-Input-Mapping, WSEAS TRANSACTIONS on POWER SYSTEMS, vol. 13 n. 1, 2018, pp. 31-39.
H. Illias, A. Fikri, M. Zahari, H. Mokhlis, Optimisation of PID controller for load frequency controller in two-area power system using evolutionary particle swarm optimisation, International Journal Electrical Systems vol. 12 n. 2, 2016, pp. 315-324.
M. Gheisarnejad, An effective hybrid harmony search and cuckoo optimization algorithm based fuzzy PID controller for load frequency control, Applied Soft Computing, vol. 65 n. 1, 2018, pp. 121-138.
G. El-Saddy, E.A. Ibrahim, A.A. Donkol, Ant Colony PID Controllers for Nonlinear Load Frequency Control System, International Journal on Power Engineering and Energy (IJPEE), vol. 8 n. 1, 2017, pp. 719-724.
S. saxena, Y.V. Hote, Decentralized PID Load Frequency Control for perturbed multi-area power systems, International Journal of Electrical Power & Energy Systems, vol. 81 n. 1, 2016, pp. 405-415.
H.M. Hasanien, A.A. El-fergany, Symbiotic organisms search algorithm for automatic generation control of interconnected power systems including wind farms, IET Gener. Transm. Distrib., vol. 11 n. 7, 2017, pp. 1692–1700.
H.M. Hasanien, whale optimization algorithm for obtaining the optimal PID controller parameters in interconnected modern power system including renewable sources, IET Gener. Transm. Distrib., vol. 12 n. 3, 2017, pp. 607–616.
M. Ma, X. Liu, C. Zhang, LFC for multi-area interconnected power system concerning wind turbines based on DMPC, IET Gener. Transm. Distrib., vol. 11 n. 10, 2017, pp. 2689–2696.
H. Wang, Z. Chen, Q. Jiang, Optimal control method for wind farm to support temporary primary frequency control with minimized wind energy cost, IET Renew. Power Gener., vol. 9 n. 4, 2015, pp. 350 –359.
Global Wind Energy Council (GWEC), Global wind report annual market update 2018, available at http://www.gwec.net
Global market outlook for photovoltaics 2014-2018, available at http://www.pvresources.com
Egyptian Electricity Holding Company, Annual Report of 2014-2015, available at
G. Magdy, A. Bakeer, G. Shabib, A.A. Elbaset, Y. Mitani, Decentralized Model Predictive Control Strategy of a Realistic Multi Power System Automatic Generation Control, IEEE Conf., 16th International Middle East Power Systems Conference (MEPCON’19) ~ December 19-21, 2017, Menoufia University, Egypt, pp. 190-196.
The Wind Power, Wind energy database, available at https://www.thewindpower.net/turbine_en_42_gamesa_g52-850.php
J. Kennedy, R. Eberhart, Particle Swarm Optimization, IEEE International Conference on Neural Networks, Perth, Australia, vol. 4 n. 1, 1995, pp. 1942-1948.
T. Kerdphol, Y. Qudaih, Y. Mitani, Optimum battery energy storage system using PSO considering dynamic demand for microgrids, Electrical Power and Energy Systems, vol. 83 n. 1, 2016, pp. 58-66.
G. Magdy, A. Bakeer, G. Shabib, A.A. Elbaset, Y. Mitani, Discrete-time optimal controller for load frequency control of multi-source power system in Egypt, IEEE Conf., Innovative Trends in Computer Engineering (ITCE)~February 19-21, 2018, Aswan, Egypt.
J. Nanda, S. Mishra and L. C. Saikia, Maiden Application of Bacterial Foraging-Based Optimization Technique in Multiarea Automatic Generation Control, IEEE Trans. on Power system, vol. 24 n. 2, 2009, pp. 602-609.
European Network of Transmission System Operators for Electricity (entsoe), Supporting Document for the Network Code on Load-Frequency Control and Reserves, chapter 4, 2013, pp. 17-36.
Hasanien, H., Muyeen, S., Benbouzid, M., Optimal Control of a One-Area LFC System Including Time Delay Using Shuffled Frog Leaping Algorithm, (2017) International Journal on Energy Conversion (IRECON), 5 (5), pp. 130-134.
- There are currently no refbacks.
Please send any question about this web site to email@example.com
Copyright © 2005-2020 Praise Worthy Prize