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Hybrid Fuzzy-PID Design Based on Flower Pollination Algorithm for Frequency Control of Micro-Hydro Power Plant
Corresponding Author(s) : Ermanu Azizul Hakim
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control,
Vol. 9, No. 2, May 2024
Abstract
Micro-Hydro Power (MHP) Plant System is the renewable energy resource that utilizes water potential energy. In MHP, the energy flows depend on the rotation speed of the generator which cause instability and nonlinearity in the frequency of electrical power. It is also supported by the fluctuation on the electricity load. Therefore, this study used Fuzzy Logic Controller combined with FPA-tuned PID to control the power frequency of the load. This test consisted of 4 stages, namely testing the system without a controller, testing the system using PID, testing the MHP system with a PID controller tuned to the Flower Pollination Algorithm, and testing the system using a Fuzzy PID tuned by the Flower Pollination Algorithm. Based on these tests, the Micro-Hydro Power Plant system response using a Fuzzy PID-tuned FPA controller performed best, especially in accelerating the time to a steady state, reducing overshoot and undershoot with the fastest rise time. As for the output signal from the controller used in the MHP, optimizing the Flower Pollination Algorithm for the Kp, Ki, and Kd parameters is effective and smooth in improving all elements in the Micro-Hydro Power Plant frequency stabilization. Meanwhile, the role of the fuzzy logic controller (FLC) is not very significant, and there is relatively a lot of noise in the output signal of the Fuzzy PID controller itself in terms of stabilizing the load frequency on the Micro-Hydro Power Plant.
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- M. A. Isa et al., “Assessing the Sustainable Development of Micro-Hydro Power Plants in an Isolated Traditional Village West Java, Indonesia,” Energies (Basel), vol. 14, no. 20, p. 6456, 2021. https://doi.org/10.3390/en14206456
- P. Gokhale et al., “A review on micro hydropower in Indonesia,” Energy Procedia, vol. 110, pp. 316–321, 2017. https://doi.org/10.1016/j.egypro.2017.03.146
- J. Hanafi and A. Riman, “Life cycle assessment of a mini hydro power plant in Indonesia: A case study in Karai River,” Procedia CIRP, vol. 29, pp. 444–449, 2015. https://doi.org/10.1016/j.procir.2015.02.160
- S. A. Kotb, M. M. Zaky, A. A. Elbaset, and M. Morad, “Application of hybrid renewable energy for supplying the emergency power supply system in case of station blackout in nuclear power plant,” Ann Nucl Energy, vol. 175, p. 109222, 2022. https://doi.org/10.1016/j.anucene.2022.109222
- R. Marliansyah, D. N. Putri, A. Khootama, and H. Hermansyah, “Optimization potential analysis of micro-hydro power plant (MHPP) from river with low head,” Energy Procedia, vol. 153, pp. 74–79, 2018. https://doi.org/10.1016/j.egypro.2018.10.021
- D. Zhou, F. Blaabjerg, T. Franke, M. Tønnes, and M. Lau, “Comparison of wind power converter reliability with low-speed and medium-speed permanent-magnet synchronous generators,” IEEE Transactions on Industrial Electronics, vol. 62, no. 10, pp. 6575–6584, 2015. https://doi.org/10.1109/TIE.2015.2447502
- R. A. Ofosu, K. K. Kaberere, J. N. Nderu, and S. I. Kamau, “Design of BFA-optimized fuzzy electronic load controller for micro hydro power plants,” Energy for Sustainable Development, vol. 51, pp. 13–20, 2019. https://doi.org/10.1016/j.esd.2019.04.003
- A. Safaei, H. M. Roodsari, and H. A. Abyaneh, “Optimal load frequency control of an island small hydropower plant,” in The 3rd Conference on Thermal Power Plants, IEEE, 2011, pp. 1–6.
- Z. Has, A. Z. Rosyidi, I. Pakaya, N. A. Mardiyah, N. Nurhadi, and M. Effendy, “Integrated frequency control of microhydro power plant based flow valve control and electronic load controller,” in 2018 IEEE Conference on Systems, Process and Control (ICSPC), IEEE, 2018, pp. 244–249. https://doi.org/10.1109/SPC.2018.8704153
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- M. Irfan, M. Effendy, L. Syafaah, I. Pakaya, and A. Faruq, “Performance comparison of fuzzy logic and proportional-integral for an electronic load controller,” International Journal of Power Electronics and Drive System (IJPEDS), vol. 8, no. 3, 2017. http://dx.doi.org/10.11591/ijpeds.v8.i3.pp1176-1183
- G. Chen, Z. Li, Z. Zhang, and S. Li, “An improved ACO algorithm optimized fuzzy PID controller for load frequency control in multi area interconnected power systems,” Ieee Access, vol. 8, pp. 6429–6447, 2019. https://doi.org/10.1109/ACCESS.2019.2960380
- A. Komarudin, N. Setyawan, L. Kamajaya, M. N. Achmadiah, and Zulfatman, “Signature PSO: A novel inertia weight adjustment using fuzzy signature for LQR tuning,” Bulletin of Electrical Engineering and Informatics, vol. 10, no. 1, pp. 308–318, 2021. https://dx.doi.org/10.11591/eei.v10i1.2667
- E. Engineering, I. Teknologi, and S. Nopember, “Adaptive Gaussian Parameter Particle Swarm Optimization And Its Implementation in Mobile Robot Path Planning,” pp. 238–243, 2017. https://doi.org/10.1109/ISITIA.2017.8124087
- Y. Zou et al., “Eigen-Structure Assignment-Based Differential Evolution Algorithm for TS Fuzzy Control Tuning Applied to Water-Turbine Governing System,” IEEE Access, vol. 9, pp. 39322–39332, 2021. https://doi.org/10.1109/ACCESS.2021.3064584
- B. K. Sahu, S. Pati, and S. Panda, “Hybrid differential evolution particle swarm optimisation optimised fuzzy proportional–integral derivative controller for automatic generation control of interconnected power system,” IET Generation, Transmission & Distribution, vol. 8, no. 11, pp. 1789–1800, 2014. https://doi.org/10.1049/iet-gtd.2014.0097
- K. S. Rajesh, S. S. Dash, and R. Rajagopal, “Hybrid improved firefly-pattern search optimized fuzzy aided PID controller for automatic generation control of power systems with multi-type generations,” Swarm Evol Comput, vol. 44, pp. 200–211, 2019. https://doi.org/10.1016/j.swevo.2018.03.005
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- X.-S. Yang, “Flower pollination algorithm for global optimization,” in Unconventional Computation and Natural Computation: 11th International Conference, UCNC 2012, Orléan, France, September 3-7, 2012. Proceedings 11, Springer, 2012, pp. 240–249. https://doi.org/10.1007/978-3-642-32894-7_27
- B. Singh, A. H. N. Reddy, and S. S. Murthy, “Hybrid fuzzy logic proportional plus conventional integral-derivative controller for permanent magnet brushless DC motor,” in Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No. 00TH8482), IEEE, 2000, pp. 185–191. https://doi.org/10.1109/ICIT.2000.854122
References
M. A. Isa et al., “Assessing the Sustainable Development of Micro-Hydro Power Plants in an Isolated Traditional Village West Java, Indonesia,” Energies (Basel), vol. 14, no. 20, p. 6456, 2021. https://doi.org/10.3390/en14206456
P. Gokhale et al., “A review on micro hydropower in Indonesia,” Energy Procedia, vol. 110, pp. 316–321, 2017. https://doi.org/10.1016/j.egypro.2017.03.146
J. Hanafi and A. Riman, “Life cycle assessment of a mini hydro power plant in Indonesia: A case study in Karai River,” Procedia CIRP, vol. 29, pp. 444–449, 2015. https://doi.org/10.1016/j.procir.2015.02.160
S. A. Kotb, M. M. Zaky, A. A. Elbaset, and M. Morad, “Application of hybrid renewable energy for supplying the emergency power supply system in case of station blackout in nuclear power plant,” Ann Nucl Energy, vol. 175, p. 109222, 2022. https://doi.org/10.1016/j.anucene.2022.109222
R. Marliansyah, D. N. Putri, A. Khootama, and H. Hermansyah, “Optimization potential analysis of micro-hydro power plant (MHPP) from river with low head,” Energy Procedia, vol. 153, pp. 74–79, 2018. https://doi.org/10.1016/j.egypro.2018.10.021
D. Zhou, F. Blaabjerg, T. Franke, M. Tønnes, and M. Lau, “Comparison of wind power converter reliability with low-speed and medium-speed permanent-magnet synchronous generators,” IEEE Transactions on Industrial Electronics, vol. 62, no. 10, pp. 6575–6584, 2015. https://doi.org/10.1109/TIE.2015.2447502
R. A. Ofosu, K. K. Kaberere, J. N. Nderu, and S. I. Kamau, “Design of BFA-optimized fuzzy electronic load controller for micro hydro power plants,” Energy for Sustainable Development, vol. 51, pp. 13–20, 2019. https://doi.org/10.1016/j.esd.2019.04.003
A. Safaei, H. M. Roodsari, and H. A. Abyaneh, “Optimal load frequency control of an island small hydropower plant,” in The 3rd Conference on Thermal Power Plants, IEEE, 2011, pp. 1–6.
Z. Has, A. Z. Rosyidi, I. Pakaya, N. A. Mardiyah, N. Nurhadi, and M. Effendy, “Integrated frequency control of microhydro power plant based flow valve control and electronic load controller,” in 2018 IEEE Conference on Systems, Process and Control (ICSPC), IEEE, 2018, pp. 244–249. https://doi.org/10.1109/SPC.2018.8704153
O. A. Somefun, K. Akingbade, and F. Dahunsi, “The dilemma of PID tuning,” Annu Rev Control, vol. 52, pp. 65–74, 2021. https://doi.org/10.1016/j.arcontrol.2021.05.002
M. Irfan, M. Effendy, L. Syafaah, I. Pakaya, and A. Faruq, “Performance comparison of fuzzy logic and proportional-integral for an electronic load controller,” International Journal of Power Electronics and Drive System (IJPEDS), vol. 8, no. 3, 2017. http://dx.doi.org/10.11591/ijpeds.v8.i3.pp1176-1183
G. Chen, Z. Li, Z. Zhang, and S. Li, “An improved ACO algorithm optimized fuzzy PID controller for load frequency control in multi area interconnected power systems,” Ieee Access, vol. 8, pp. 6429–6447, 2019. https://doi.org/10.1109/ACCESS.2019.2960380
A. Komarudin, N. Setyawan, L. Kamajaya, M. N. Achmadiah, and Zulfatman, “Signature PSO: A novel inertia weight adjustment using fuzzy signature for LQR tuning,” Bulletin of Electrical Engineering and Informatics, vol. 10, no. 1, pp. 308–318, 2021. https://dx.doi.org/10.11591/eei.v10i1.2667
E. Engineering, I. Teknologi, and S. Nopember, “Adaptive Gaussian Parameter Particle Swarm Optimization And Its Implementation in Mobile Robot Path Planning,” pp. 238–243, 2017. https://doi.org/10.1109/ISITIA.2017.8124087
Y. Zou et al., “Eigen-Structure Assignment-Based Differential Evolution Algorithm for TS Fuzzy Control Tuning Applied to Water-Turbine Governing System,” IEEE Access, vol. 9, pp. 39322–39332, 2021. https://doi.org/10.1109/ACCESS.2021.3064584
B. K. Sahu, S. Pati, and S. Panda, “Hybrid differential evolution particle swarm optimisation optimised fuzzy proportional–integral derivative controller for automatic generation control of interconnected power system,” IET Generation, Transmission & Distribution, vol. 8, no. 11, pp. 1789–1800, 2014. https://doi.org/10.1049/iet-gtd.2014.0097
K. S. Rajesh, S. S. Dash, and R. Rajagopal, “Hybrid improved firefly-pattern search optimized fuzzy aided PID controller for automatic generation control of power systems with multi-type generations,” Swarm Evol Comput, vol. 44, pp. 200–211, 2019. https://doi.org/10.1016/j.swevo.2018.03.005
G. Chen, Z. Li, Z. Zhang, and S. Li, “An improved ACO algorithm optimized fuzzy PID controller for load frequency control in multi area interconnected power systems,” IEEE Access, vol. 8, pp. 6429–6447, 2019. https://doi.org/10.1109/ACCESS.2019.2960380
X.-S. Yang, “Flower pollination algorithm for global optimization,” in Unconventional Computation and Natural Computation: 11th International Conference, UCNC 2012, Orléan, France, September 3-7, 2012. Proceedings 11, Springer, 2012, pp. 240–249. https://doi.org/10.1007/978-3-642-32894-7_27
B. Singh, A. H. N. Reddy, and S. S. Murthy, “Hybrid fuzzy logic proportional plus conventional integral-derivative controller for permanent magnet brushless DC motor,” in Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No. 00TH8482), IEEE, 2000, pp. 185–191. https://doi.org/10.1109/ICIT.2000.854122