HHO-based Model Predictive Controller for Combined Voltage and Frequency Control Problem Including SMES

References

• H. Sadat. Power system analysis. 2nd ed., New York: McGraw-Hill, 1999.
   Google Scholar
• P. Kundur. Power system stability and control. New York: Mc-Grall Hill, 1994.
   Google Scholar
• C. H. Naga Sai Kalyan, and G. Sambasiva Rao, “Frequency and voltage stabilisation in combined load frequency control and automatic voltage regulation of multiarea system with hybrid generation utilities by AC/DC links,” Int. J. Sustainable Energy, Vol. 39, no. 10, pp. 1009–1029, 2020.
   Web of Science ®Google Scholar
• S. Panda, B. K. Sahu, and P. K. Mohanty, “Design and performance analysis of PID controller for an automatic voltage regulator system using simplified particle swarm optimization,” J. Franklin Inst., Vol. 349, pp. 2609–2625, 2012.
   Web of Science ®Google Scholar
• Z. L. Gaing, “A particle swarm optimization approach for optimum design of PID controller in AVR system,” IEEE Trans. Energy Convers., Vol. 19, pp. 384–391, 2004.
   Web of Science ®Google Scholar
• S. Chatterjee, and V. Mukherjee, “PID controller for automatic voltage regulator using teaching–learning based optimization technique,” Int. J. Electr. Power Energy Syst., Vol. 77, pp. 418–429, 2016.
   Web of Science ®Google Scholar
• Z. Bingul, and O. Karahan, “A novel performance criterion approach to optimum design of PID controller using cuckoo search algorithm for AVR system,” J. Franklin Inst., Vol. 355, no. 13, pp. 5534–5559, 2018.
   Web of Science ®Google Scholar
• A. Sikander, P. Thakur, R. C. Bansal, and S. Rajasekar, “A novel technique to design cuckoo search based FOPID controller for AVR in power systems,” Comput. Electr. Eng, Vol. 70, pp. 261–274, 2018.
   Web of Science ®Google Scholar
• H. Shayeghi, A. Younesia, and Y. Hashemi, “Optimal design of a robust discrete parallel FP + FI + FD controller for the automatic voltage regulator system,” Int. J. Electr. Power Energy Syst., Vol. 67, pp. 66–75, 2015.
   Web of Science ®Google Scholar
• S. Kansit, and W. Assawinchaichote, “Optimization of PID controller based on PSOGSA for an automatic voltage regulator system,” Procedia Comput. Sci, Vol. 86, pp. 87–90, 2016.
   Google Scholar
• S. Ekinci, and B. Hekimoğlu, “Improved kidney-inspired algorithm approach for tuning of PID controller in AVR system,” IEEE Access., Vol. 7, pp. 39935–39947, 2019.
   Google Scholar
• P. K. Sahoo, S. Mohapatra, D. K. Gupta, and S. Panda, “Multi verse optimized fractional order PDPI controller for load frequency control,” IETE. J. Res., pp. 1–14, 2020. DOI: 10.1080/03772063.2020.1756933
   Web of Science ®Google Scholar
• G. Lalor, A. Mullane, and M. O'Malley, “Frequency control and wind turbine technologies,” IEEE Trans. Power Syst., Vol. 20, pp. 1905–1913, 2005.
   Web of Science ®Google Scholar
• D. Guha, P. K. Roy, and S. Banerjee, “Load frequency control of interconnected power system using grey wolf optimization,” Swarm and Evolutionary Computation, Elsevier, Vol. 27, pp. 97–115, 2016.
   Web of Science ®Google Scholar
• Y. Sharma, and L. C. Saikia, “Automatic generation control of a multi-area ST – thermal power system using grey wolf optimizer algorithm based classical controllers,” Int. J. Electr. Power Energy Syst, Vol. 73, pp. 853–862, 2015.
   Web of Science ®Google Scholar
• P. Dash, L. C. Sakia, and N. Sinha, “Automatic generation control of multi area thermal system using bat algorithm optimized PD–PID cascade controller,” Int. J. Electr. Power Energy Syst, Vol. 68, pp. 364–372, 2015.
   Web of Science ®Google Scholar
• R. K. Sahu, S. Panda, and U. K. Rout, “DE optimized parallel 2-DOF PID controller for load frequency control of power system with governor dead band nonlinearity,” Int. J. Electr. Power Energy Syst, Vol. 49, pp. 19–33, 2013.
   Web of Science ®Google Scholar
• Y. Arya, P. Dahiya, E. Çelik, G. Sharma, H. Gözde, and I. Nasiruddin, “AGC performance amelioration in multi-area interconnected thermal and thermal-hydro-gas power systems using a novel controller,” Engineering Science and Technology, an International Journal, Vol. 24, no. 2, pp. 384–396, 2019.
   Google Scholar
• Y. Arya, “A new optimized fuzzy FOPI-FOPD controller for automatic generation control of electric power systems,” J. Franklin Inst., Vol. 356, no. 11, pp. 5611–5629, 2019.
   Web of Science ®Google Scholar
• P. Dahiya, V. Sharma, and R. Naresh, “Automatic generation control using disrupted oppositional based gravitational search algorithm optimised sliding mode controller under de-regulated environment,” IET Gener. Transm. Distrib, Vol. 10, pp. 3995–4005, 2016.
   Web of Science ®Google Scholar
• S. Amita, and V. Sharma, “Salp swarm algorithm-based model predictive controller for frequency regulation of solar integrated power system,” Neural Computing and Applications, Vol. 31, pp. 8859–8870, 2019.
   Web of Science ®Google Scholar
• E. Rakhshani, K. Rouzbehi, and S. Sadeh, “A new combined model for simulation of mutual effects between LFC and AVR loops,” in Asia-Pacific Power and Energy Engineering Conference, Wuhan, 2009, pp. 1–5.
   Google Scholar
• K. R. M. Vijaya Chandrakala, and S. Balamurugan, “Simulated annealing based optimal frequency and terminal voltage control of multi-source multi area system,” Int. J. Electr. Power Energy Syst, Vol. 78, pp. 823–829, 2016.
   Web of Science ®Google Scholar
• R. Rajbongshi, and L. C. Saikia, “Combined control of voltage and frequency of multi-area multisource system incorporating solar thermal power plant using LSA optimised classical controllers,” IET. Gener. Transm. Distrib., Vol. 11, no. 10, pp. 2489–2498, 2017.
   Web of Science ®Google Scholar
• J. Morsali, and Z. Esmaeili, “Proposing a New hybrid model for LFC and AVR loops to improve effectively frequency stability using coordinative CPSS,” in 2020 28th Iranian Conference on Electrical Engineering (ICEE), Tabriz, Iran, 2020, pp. 1–7.
   Google Scholar
• A. K. Barik, and D. C. Das, “Coordinated regulation of voltage and load frequency in demand response supported biorenewable cogeneration-based isolated hybrid microgrid with quasi-oppositional selfish herd optimization,” Int. Trans. Electr. Energy Syst, Vol. 30, no. 1, pp. 1–22, 2020.
   Web of Science ®Google Scholar
• G. A. Salman, A. S. Jafar, and A. I. Ismael, “Application of artificial intelligence techniques for LFC and AVR systems using PID controller,” International Journal of Power Electronics and Drive Systems, Vol. 10, no. 3, pp. 1694–1704, 2019.
   Google Scholar
• T. A. Jumani, M. W. Mustafa, M. Md Rasid, N. H. Mirjat, Z. H. Leghari, and M. S. Saeed, “Optimal voltage and frequency control of an islanded microgrid using grasshopper optimization algorithm,” Energies, Vol. 11, no. 11, pp. 1–20, 2018.
   PubMed Web of Science ®Google Scholar
• D. Sharma, V. Kushwaha, K. Pandey, and N. Rani, “Intelligent AVR control of a single thermal area combined with LFC loop,” in Intelligent Communication, Control and Devices, Advances in Intelligent Systems and Computing, Vol. 624, R. Singh, S.Choudhury, and A. Gehlot, Eds. Singapore: Springer, 2018, pp. 779–789.
   Google Scholar
• A. M. Othman, and A. A. El-Fergany, “Design of robust model predictive controllers for frequency and voltage loops of interconnected power systems including wind farm and energy storage system,” IET. Gener. Transm. Distrib., Vol. 12, no. 19, pp. 4276–4283, 2018.
   Web of Science ®Google Scholar
• A. M. Ersdal, L. Imsland, and K. Uhlen, “Model Predictive Load-Frequency control,” IEEE Trans. Power Syst., Vol. 31, pp. 777–785, 2016.
   Web of Science ®Google Scholar
• Y. Zheng, J. Zhou, Y. Xu, Y. Zhang, and Z. Qian, “A distributed model predictive control based load frequency control scheme for multi-area interconnected power system using discrete-time laguerre functions,” ISA Trans., Vol. 68, pp. 127–140, 2017.
   PubMed Web of Science ®Google Scholar
• L. Chen, Y. Liu, A. B. Arsoy, P. F. Ribeiro, M. Steurer, and M. R. Iravani, “Detailed modeling of SMES- superconducting magnetic energy storage system,” IEEE Trans. Power Delivery, Vol. 21, pp. 699–710, 2006.
   Web of Science ®Google Scholar
• G. Magdy, G. Shabib, A. A. Elbaset, and Y. Mitani, “Optimized coordinated control of LFC and SMES to enhance frequency stability of a real multi-source power system considering high renewable energy penetration,” Prot Control Mod Power Syst, Vol. 3, no. 39, pp. 1–15, 2018.
   Google Scholar
• M. Zamani, M. Karimi-Ghartemani, N. Sadati, and M. Parniani, “Design of a fractional order PID controller for an AVR using particle swarm optimization,” Control. Eng. Pract., Vol. 17, no. 12, pp. 1380–1387, 2009.
   Web of Science ®Google Scholar
• J. H. Lee, M. Morari, and C. E. Garcia, “State-space interpretation of model predictive control,” Automatica. (Oxf), Vol. 30, no. 4, pp. 707–717, 1994.
   Web of Science ®Google Scholar
• S. Amita, V. Sharma, P. Dahiya, and R. N. Sharma, “Model predictive based load frequency control of interconnected power systems,” Recent Adv Electr Electr Eng, Vol. 11, pp. 322–333, 2018.
   Web of Science ®Google Scholar
• E. Granado, W. Colmenares, J. Bernussou, and G. Garcia, “Linear matrix inequality based model predictive controller,” IEE Proc. - Control Theory and Applications, Vol. 150, no. 5, pp. 528–533, 2003.
   Google Scholar
• A. Heidari, S. Mirjalili, H. Faris, I. Aljarah, M. Mafarja, and H. Chen, “Harris Hawks Optimization: algorithm and applications,” Future Gener.Comput.Syst, Vol. 97, pp. 601–610, 2019.
   Web of Science ®Google Scholar
• C. F. Juang, and C. F. Lu, “Load frequency control by hybrid evolutionary fuzzy PI controller,” IEE Proc. Generation Transmission Distribution, Vol. 153, no. 2, pp. 196–204, 2006.
   Google Scholar