Load Frequency Control of Interconnected Power System with Renewables using Improved Fractional Integral Controller
Abstract
This article introduces fractional-integral-proportional-derivative (FI-PD) cascade controller as a secondary control scheme of interconnected power system to minimize the frequency and inter area active power disturbances. First, the performance of the FI-PD controller is tested on an interconnected power system with conventional thermal-hydro units, later studies are extended on same test system integrated with wind and solar. To show the improvements achieved with FI-PD controller, classical PI, PID and fractional order PID controllers are opted for comparative assessment. The optimal gains of all the controllers are identified with magnetotactic bacteria optimizer (MBO) algorithm applied first time in automatic generation control (AGC). MBO used integral square error (ISE) as fitness function in the process of identification of optimal gain parameters of the classical and proposed controllers.
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P. Kumar, and D.P. Kothari, "Recent philosophies of automatic generation control strategies in power systems", IEEE transactions on power systems, vo;. 20, no. 1, pp.346-357, 2005.
L.C. Saikia, J. Nanda, and S. Mishra, "Performance comparison of several classical controllers in AGC for multi-area interconnected thermal system", International Journal of Electrical Power & Energy Systems, vol. 33, no. 3, pp.394-401, 2011.
M. Ramesh, A.K. Yadav, and P.K. Pathak, "An extensive review on load frequency control of solar-wind based hybrid renewable energy systems", Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, pp.1-25, 2021.
H.M. Hasanien, "Whale optimisation algorithm for automatic generation control of interconnected modern power systems including renewable energy sources", IET Generation, Transmission & Distribution, vol. 12, no. 3, pp.607-614, 2018.
T. Chakraborty, D. Watson, and M. Rodgers, "Automatic generation control using an energy storage system in a wind park", IEEE Transactions on Power Systems, vol. 33, no. 1, pp.198-205, 2017.
M.H. Variani, and K. Tomsovic, "Distributed automatic generation control using flatness-based approach for high penetration of wind generation", IEEE Transactions on Power Systems, vol. 28, no. 3, pp.3002-3009, 2013.
N. Hakimuddin, I. Nasiruddin, T.S. Bhatti, and Y. Arya, "Optimal automatic generation control with hydro, thermal, gas, and wind power plants in 2-area interconnected power system", Electric Power Components and Systems, vol.48, no. 6-7, pp.558-571, 2020.
K. Ullah, A. Basit, Z. Ullah, F. R. Albogamy, and G. Hafeez, "Automatic Generation Control in Modern Power Systems with Wind Power and Electric Vehicles", Energies, vol.15, no. 5, pp.1771, 2022.
G. P. Kumar, R. Srinu Naik, and C.D. Prasad, “Application of the PI-PD cascade control scheme in AGC of a deregulated power system with PV in the presence of communication delay”, International Journal of Ambient Energy, 2021.
S.S. Pati, and S.K.Mishra, "A PSO based modified multistage controller for automatic generation control with integrating renewable sources and FACT device", International Journal of Renewable Energy Research (IJRER), vol. 9, no. 2, pp. 673-683, 2019.
K. Kiran Kumar, G. Balaji, P.Kanta Rao, and C.D. Prasad, "Frequency Control of Isolated Power System Integrated with Renewables using Biogeography based Krill Herd Migration Optimized Controllers", International Journal of Renewable Energy Research, vol. 12, no. 1, pp. 529-535, 2022.
H. Bevrani, and P.R.Daneshmand, "Fuzzy logic-based load-frequency control concerning high penetration of wind turbines", IEEE systems journal, vol. 6, no. 1, pp.173-180, 2011.
Chang-Chien, Le-Ren, C.C.Sun, and Y.J.Yeh, "Modeling of wind farm participation in AGC", IEEE Transactions on Power Systems, vol. 29, no. 3, pp.1204-1211, 2013.
B. Vedik, R. Kumar, R. Deshmukh, S. Verma, and C.K.Shiva, "Renewable energy-based load frequency stabilization of interconnected power systems using quasi-oppositional dragonfly algorithm", Journal of Control, Automation and Electrical Systems, vol. 32, no. 1, pp.227-243, 2021.
D.H. Tungadio, and Y.Sun, "Load frequency controllers considering renewable energy integration in power system", Energy Reports, vol. 5, pp.436-453, 2019.
M.H. Khooban, T. Niknam, M. Shasadeghi, T.Dragicevic, and F.Blaabjerg, "Load frequency control in microgrids based on a stochastic noninteger controller." IEEE Transactions on Sustainable Energy, vol. 9, no. 2, pp.853-861, 2017.
A. Safari, F. Babaei, and M. Farrokhifar, "A load frequency control using a PSO-based ANN for micro-grids in the presence of electric vehicles", International Journal of Ambient Energy, vol. 42, no. 6, pp. 688-700, 2021.
P.C. Sahu, S.Mishra, R.C.Prusty, and S.Panda, "Improved-salp swarm optimized type-II fuzzy controller in load frequency control of multi area islanded AC microgrid", Sustainable Energy, Grids and Networks, vol.16, pp.380-392, 2018.
D. Kumar, H. D. Mathur, S. Bhanot, and R.C.Bansal, "Forecasting of solar and wind power using LSTM RNN for load frequency control in isolated microgrid", International Journal of Modelling and Simulation, vol. 41, no. 4, pp. 311-323, 2021.
DOI (PDF): https://doi.org/10.20508/ijrer.v13i1.13561.g8691
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