Abstract
This study deals with the load frequency control of multi-area, multi-source system. A re-heat thermal generating unit, a gas unit and a plug-in electric vehicle unit is considered in each area. Some physical constraints like Governor dead band and generation rate constraint non-linearity are examined for the thermal unit. Whale optimization algorithm optimized I+PD controller is employed for the load frequency control of the proposed system. Load disturbance of 1% is considered for studying the system dynamics. To show the superiority of the proposed scheme, its performance is compared with the performance of the system under PIDN controller. Also, the system is tested against variable load to check the robustness of the system.
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References
Shiva, C.K., Mukherjee, V.: A novel quasi-oppositional harmony search algorithm for AGC optimization of three-area multi-unit power system after deregulation. Eng. Sci. Technol. Int. J. 19(1), 395–420 (2016)
Parmar, K.P.S., Majhi, S., Kothari, D.P.: Load frequency control of a realistic power system with multi-source power generation. Int. J. Electr. Power Energy Syst. 42(1), 426–433 (2012)
Shankar, R., Pradhan, S.R., Chatterjee, K., Mandal, R.: A comprehensive state of the art literature survey on LFC mechanism for power system. Renew. Sustain. Energy Rev. 76(2015), 1185–1207 (2017)
Upalanchiwar, T., Sakhare, P.A.V.: Design and implementation of the fuzzy PID controller using MATLAB/SIMULINK model. 3(3), 369–372 (2014)
Pal, A.K., Bera, P., Chakraborty, K.: AGC in Two-area deregulated power system using reinforced learning neural network controller (2014)
Bhasin, H., Gupta, N.: Critical path problem for scheduling using genetic algorithm. Soft Comput.: Theor. Appl. Adv. Intell. Syst. Comput. 15–24 (2018)
Shankar, R., Chatterjee, K., Bhushan, R.: Impact of energy storage system on load frequency control for diverse sources of interconnected power system in deregulated power environment. Int. J. Electr. Power Energy Syst. 79, 11–26 (2016)
Shankar, R., Kumar, A., Raj, U., Chatterjee, K.: Fruit fly algorithm-based automatic generation control of multiarea interconnected power system with FACTS and AC/DC links in deregulated power environment. Int. Trans. Electr. Energy Syst. e2690 (2018)
Mohanty, B., Panda, S., Hota, P.K.: Differential evolution algorithm based automatic generation control for interconnected power systems with non-linearity. Alexandria Eng. J. 53(3), 537–552 (2014)
Mohanty, B., Hota, P.K.: A hybrid chemical reaction-particle swarm optimisation technique for automatic generation control. J. Electr. Syst. Inf. Technol. 1–16 (2017)
Sharma, T.K., Pant, M.: Opposition-based learning embedded shuffled frog-leaping algorithm. Soft Comput.: Theor. Appl. Adv. Intell. Syst. Comput. 853–861 (2018)
Mukherjee, V., Shiva, C.K.: Automatic generation control of multi-unit multi-area deregulated power system using a novel quasi-oppositional harmony search algorithm. IET Gener. Transm. Distrib. 9(15), 2398–2408 (2015)
Saha, A., Saikia, L.C.: Performance analysis of combination of ultra-capacitor and superconducting magnetic energy storage in a thermal-gas AGC system with utilization of whale optimization algorithm optimized cascade controller. J. Renew. Sustain. Energy. 10(1) (2018)
Mirjalili, S., Lewis, A.: Advances in engineering software the whale optimization algorithm. 95, 51–67 (2016)
Guha, D., Kumar, P., Subrata, R.: Whale optimization algorithm applied to load frequency control of a mixed power system considering nonlinearities and PLL dynamics. Energy Syst. (0123456789) (2019)
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Appendix
Appendix
Thermal generating unit: Kr = 0.3, Tt = 0.3 s, Rth = 2.4 Hz/pu, Tr = 10 s, Tg = 0.08 s, GRC = 0.0017pu/MW/s;
Gas generating unit: X = 0.6 s, Y = 1.0 s, TF = 0.23 s, b = 0.05 s, c = 1, TCR = 0.01 s, TCD = 0.2 s, RG = 2.4 Hz/pu MW, Rth = 2.4 Hz/pu;
Power system: Kps = 120 Hz/pu, Tps = 20 s;
EV: KEVÂ =Â 1 and TEVÂ =Â 1.
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Raj, U., Shankar, R. (2020). Effectiveness of Whale Optimization Based I+PD Controller for LFC of Plug-in Electric Vehicle Included Multi-area System. In: Pant, M., Kumar Sharma, T., Arya, R., Sahana, B., Zolfagharinia, H. (eds) Soft Computing: Theories and Applications. Advances in Intelligent Systems and Computing, vol 1154. Springer, Singapore. https://doi.org/10.1007/978-981-15-4032-5_2
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DOI: https://doi.org/10.1007/978-981-15-4032-5_2
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