Frequency Regulation of Multi Area Renewable Energy Source system with Practical Constraints under Fractional-order Fuzzy Controller

Ch Naga Sai Kalyankalyanchallapalli, A. N. Venkateswarlu, Rami Reddy Ch, B. Srikanth Goud, A. Giri Prasad, Ch. Sriram, Flah Aymen

Abstract


This paper introduces a novel control strategy of fractional order (FO) fuzzy (F) PID (FOFPID) controller optimized with the latest soft computing technique of seagull optimization algorithm (SOA) for power system frequency regulation. Initially, a simple and widely accepted power system of dual area photovoltaic (PV) and reheat thermal (RT) (PVRT) system is perceived and named as test system-1 in this paper. The performance of FOFPID fine-tuned with SOA mechanism is tested on PVRT system for a step load disturbance of 10% (SLD) on area-2 along with other controllers reported in the literature. Dynamical analysis of the PVRT system reveals the potency of the proposed controller over others. Further, the SOA based FOFPID controller is extended to frequency regulation of multi-area system with hybrid generating sources (MAHS) named as test system-2 in this paper for 10% SLD on area-1. MAHS system is constituted with realistic constraints to conduct research close to realistic practice. The potentiality of SOA based FOFPID is demonstrated by comparing it with traditional controllers of PID/FPID/FOPID on MAHS system. Finally, robustness analysis is perpetuated to reveal the presented control scheme robustness.            

Keywords


FOFPID controller; Seagull optimization algorithm (SOA); MAHS system; Practical Constraints; 10%SLD

Full Text:

PDF

References


C. N. S. Kalyan, and G. S. Rao, “Frequency and Voltage Stabilization in Combined Load Frequency Control and Automatic Voltage Regulation of Multi Area System with Hybrid Generation Utilities by AC/DC Links”, International Journal of Sustainable Energy, Vol.39, No.10, pp.1009-1029, (2020).

S. M. Abd-Elazim, and E. S. Ali, “Load frequency controller design of a two-area system composing of PV grid and thermal generator via firefly algorithm”, Neural Comput Appl, Vol.30, No.02, pp.607-606, (2018).

G. Q. Zeng, X. Q. Xie, and M. R. Chen, “An adaptive model predictive load frequency control method for multi-area interconnected power system with photovoltaic generations”, Energies, Vol.10, No.11, pp.18-40, (2017).

Y. Arya, “Automatic generation control of two-area electrical power systems via optimal fuzzy classical controller”, J.Frankin Inst., Vol.355, No.5, pp.2662-2688, (2018).

Y. Arya, “AGC of two-area electric power systems using optimized fuzzy PID with filter plus double integral controller”, J.Frankin Inst., Vol.355, No.11, pp.4583-4617, (2018).

S. M. Nosratabadi, M. Bournapour, and M. A. Gharaei, “Grasshopper optimization algorithm for optimal load frequency control considering predictive functional modified PID controller in restructure multi-resource multi-area power system with redox flow batteries”, Control engineering Prcatice, Vol.89, pp.204-227, (2019).

A. M. Ersdal, L. Imsland, K. Uhlen, D. Fabozzi, and N. F. Thornhill, “Model predictive load frequency control taking into account imbalance uncertainity”, Control Engineering Practice, Vol.53, pp.139-150, (2016).

S. Kumari, and G. Shankar, “Maiden application of cascade tilt-integral-derivative controller in load frequency control of deregulated power system”, International transactions on Electrical energy systems, https://doi.org/10.1002/2050-7038.12257, (2019).

B. Sonker, D. Kumar, and P. Samuel, “Design of two degree of freedom-internal model control configuration for load frequency control using model approximation”, International Journal of Modelling and Simulation, Vol.39, No.01, pp.27-37, (2018).

D. Guha, P. K. Roy and S. Banerjee, “Quasi-opposiional JAYA optimized 2-degree-of-freedom PID controller for load-frequency control of interconnected power systems”, International Journal of Modelling and Simulation, https://doi.org/10.1080/02286203.2020.1829444.

W. Tasnin, and L. C. Saikia, “Performance comparison of several energy storage devices in deregulated AGC of a multi-area system incorporating geothermal power plant”, IET Renewable Power generation, Vol.12, No.07, pp.761-772, (2018).

S. Trip, M. Cuccuzella, C. D. Persis, A. Ferrerra, and J. M. A. Scherpen, “Robust load frequency control of nonlinear power networks”, International Journal of Control, Vol.93, No.02, pp.346-359, (2020).

A. H. Yakout, M. A. Attia, and H. Kotb, “Marine predator algorithm based cascaded PIDA load frequency controller for electric power systems with wave energy conversion systems”, Alexandria Engineering Journal, Vol.60, pp.4213-4222, (2021).

R. Elyas, “Intelligent linear-quadratic optimal output feedback regulator for a deregulated automatic generation control system”, Electric Power Comp Syst, Vol.40, No.05, pp.513-533, (2013).

S. Sahoo, S. S. Dash, N. K. Jena, B. K. Sahu, N. C. Patel, and R. Bayindir, “SHO designed fuzzy logic based controller for AGC study with capacitor energy storage”, 8th International conference on Renewable Energy Research and applications (ICRERA), Brasov, Romania, Nov.3-6, pp.845-850, November, (2019).

Y. Arya, “Impact of hydrogen acqua electrolizer fuel cell units on automatic generation control of power systems with a new optimal fuzzy TIDF-II ontroller”, Renewable Energy, Vol.139, pp.468-482, (2019).

Y. Arya, “A new optimized fuzzy FOPI-FOPD controller for automatic generation control of electric power systems”, J.Frankin Inst., Vol.355, pp.5611-5629, (2019).

C. N. S. Kalyan, and G. S. Rao, “Coordinated SMES and TCSC Damping Controller for Load Frequency Control of Multi Area Power System with Diverse Sources”, International Journal on Electrical Engineering and Informatics, Vol.12, No.04, pp.747-769, (2020).

P. C. Sahu, R. C. Prusty, and S. Panda, “Approaching hybridized GWO-SCA based type-II fuzzy controller in AGC of diverse energy source multi area power system”, Journal of King Saud University-Engineering Sciences, Vol.32, No.03, pp.186-197, (2020).

M. Moazzami, M. Ghanbari, H. Shahinzadeh, J. Moradi and G. B. Gharehpetian, “Application of multi objective grey wolf algorithm on energy management of micro grids with techno-economic and environmental considerations”, 3rd IEEE Conference on swarm intelligence and Evolutionary Computation, pp:1-9, March, (2018).

M. Moazzami, G. B. Gharehpetian, H. Shahinzadeh, and S. H. Hosseinian, “Optimal location and sizing of DG and D-STATCOM using modified shuffled frog leap algorithm”, 2nd IEEE Conference on swarm intelligence and Evolutionary Computation, pp:54-59, March, (2017).

D.Yoursi, T. S. Babu, and A. Fathy, “Recent methodology based harris hawks optimizer for designing load frequency control incorporated in multi-interconnected renewable energy plants”, Sustainable Energy, Grids and Networks, Vo.22, 100352, (2020).

C. N. S. Kalyan, and G. S. Rao, “Performance Comparison of Various Energy Storage Devices in Combined LFC and AVR of Multi Area System with Renewable Energy Integration”, International Journal of Renewable Energy Research (IJRER), Vol.10, No.02 , pp.933-944, (2020).

P. Dahiya, P. Mukhija, A. R. Saxena and Y. Arya, “Comparative performance investigation of optimal controller for AGC of electric power generating systems”, Automatika, Vol.57, No.04, pp.902-921, (2016).

S. K. Gupta, Y. Arya, S. Shukla, and P. Chawla, “Two area AGC in interconnected system under the restructured power system using BFO controller”, 6th IEEE Power India International Conference, December 5, pp:1-6, (2014).

C. N. S. Kalyan, B. S. Goud, C. R. Reddy, H. S. Ramadan, M. Bajaj, and Z. M. Ali, “Water Cycle Algorithm Optimized Type II Fuzzy Controller for Load Frequency Control of a Multi-Area, Multi-Fuel System with Communication Time Delays”, Enegies, 14, 5387, https://doi.org/10.3390/en14175387, (2021).

B. S. Goud, P. S. Varma, B. L. Rao, M. S. K. Reddy, A. Pandian, and C. R. Reddy, “Cuckoo search optimization based MPPT for integrated DFIG- wind energy system “, International conference on decession Aid Sciences and application (DASA), pp.636-639, 10.1109/DASA51403.2020.9317072, (2020).

B. S. Goud, and B. L. Rao, “Power quality enhancement in grid- connecetd PV/wind/battery using UPQC: Atom search optimization”, J. Electr. Eng. Technol., Vol.16, pp.821-835, https://doi.org/10.1007/s42835-020-00644-x, (2021).

S. Bhongade, and V. P. Paramar, “Automatic generation control of two-area ST-thermal power system using Jaa algorithm”, International Journal of Smart Grid, Vol.2, No.2, pp. 99-110, (2018).

Y. Che, and D. He, “A Hybrid whale optimization with seagull algorithm for global optimization problems”, Mathematical Problems in Engineering, https://doi.org/10.1155/2021/6639671, (2021).

C. N. S. Kalyan, and G. S. Rao, “Impact of Communication Time Delays on Combined LFC and AVR of a multi-area Hybrid system with IPFC-RFBs Coordinated Control strategy”, Protection and Control of Modern Power Systems, Vol.06, No.1, pp.1-20, (2020).

C. N. S. Kalyan, and G. S. Rao, “Coordinated control strategy for simultaneous frequency and voltage stabilization of the multi-area interconnecetd system considering communication time delays”, International Journal of Ambient Energy, https://doi.org/10.1080/01430750.2021.1967192, (2021).

C. N. S. Kalyan, and C. V. Suresh, “Differential Evolution based Intelligent Control approach for LFC of Multiarea Power system with Communication Time Delays”, 2021 International conference on Computing, Communication, and Intelligent Systems, April, 2021, 10.1109/ICCCIS51004.2021.9397112.

C. N. S. Kalyan, “UPFC and SMES based coordinated control strategy for simultaneous frequency and voltage stability of an interconnected power system”, 2021 1st International Conference on Power Electronics and Energy (ICPEE), pp.1-6, doi: 10.1109/ICPEE50452.2021.9358576. (2021).

G. Dhiman, V. Kumar, “Seagull Optimization algorithm: Theory and its applications for large-scale industrial engineering problems”, Knowledge Based Systems, Vol.165, pp.169-196, (2019).




DOI (PDF): https://doi.org/10.20508/ijrer.v11i3.12318.g8286

Refbacks

  • There are currently no refbacks.


Online ISSN: 1309-0127

Publisher: Gazi University

IJRER is cited in SCOPUS, EBSCO, WEB of SCIENCE (Clarivate Analytics);

IJRER has been cited in Emerging Sources Citation Index from 2016 in web of science.

WEB of SCIENCE in 2025; 

h=35,

Average citation per item=6.59

Last three Years Impact Factor=(1947+1753+1586)/(146+201+78)=5286/425=12.43

Category Quartile:Q4