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Electrical Engineering
Erschienen in:

29.09.2023 | Original Paper

Design of self-organized membership functions for an optimal fuzzy controller in enhancing frequency regulation

verfasst von: K. Swetha, D. Vijay Kumar, V. S. Vakula

Erschienen in: Electrical Engineering | Ausgabe 6/2023

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Abstract

To observe the discrepancies between generated output power and load in a system with combined operation of small generation sources and conventional energy sources, the extensive work in this paper is to minimize frequency deviation by incorporating different controllers. Its functioning is verified through hybrid configuration of 3-area interconnected power system with Distributed Generation in area-1 integrated with hybrid sources and energy storage system, integrated with DG, thermal power system in area-2 and area-3. With this, the dynamic response of frequency is improved. Hybrid fuzzy with load frequency control with self-organizing maps with fuzzy controller which is an effective controller provides solution for an intricate effort in view of dynamic characteristics and random load variations are less when compared to the existing ones. The robustness of these controllers is systematically demonstrated under various loading conditions.
Vorheriger Artikel An enhanced battery model using a hybrid genetic algorithm and particle swarm optimization
Nächster Artikel Backstepping control of a bearingless induction motor based on a linear extended state observer

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Literatur
1.
Pandey SK, Mohanty SR, Kishor N (2013) A literature survey on load-frequency control for conventional and distribution generation power systems. Renew Sustain Energy Rev 25:318–334CrossRef
2.
Majumder R, Ghosh A, Ledwich G (2012) Load frequency control in a hybrid systems: challenges and improvements. In: Keyhani A, Marwali M (eds) Smart power grids. Springer Berlin Heidelberg, Berlin Heidelberg, pp 49–82
3.
Dash P et al (2015) Automatic generation of multi area thermal system using bat algorithm optimized PD–PID cascade controller. Electr Power Energy Syst 68:364–372CrossRef
4.
Tan W, Hao Y, Li D (2015) Load frequency control in deregulated environments via active disturbance rejection. Electr Power Energy Syst 66:166–177CrossRef
5.
Anwar MN, Pan S (2015) A new PID load frequency controller design method in frequency domain through direct synthesis approach. Electr Power Energy Syst 67:560–569CrossRef
6.
Debbarma S et al (2014) Robust two-degree-of freedom controller for automatic generation control of multi-area system. Electr Power Energy Syst 63:878–886CrossRef
7.
Saikia LC, Nanda J, Mishra S (2011) Performance comparision of several classical controllers in AGC for multi-area inter connected thermal system. Electr Power Energy Syst 33:394–401CrossRef
8.
Sahu RK, Panda S, Kumar U (2013) Rout DE optimized parallel 2–DOF PID controller for load frequency control of power system with governor dead band nonlinearity. Electr Power Energy Syst 49:19–33CrossRef
9.
Kaya I (2001) Improving performance using cascade and a smith predictor. ISA Tran 40:223–234CrossRef
10.
Sudha KR, et al. Particle swarm optimization in fine tuning of PID fuzzy logic power system stabilizer. In: International conference on advances in computing, control, and telecommunication technologies. IEEE, pp356–358. https://​doi.​org/​10.​1109/​ACT.​2009
11.
Hemmati R, Mojtaba S et al (2011) PID controller adjustment using PSO for multi area load frequency control. Aust J Basic Appl Sci 5(3):295–302
12.
Fogel LJ, Owens AJ, Walsh MJ (1965) Artificial intelligence through a simulation of evolution. In: Maxfield M, Callahan A, Fogel LJ (Eds) Biophysics and cybernetic systems: proceedings of the 2nd cybernetic sciences symposium. Spartan Books, pp 131–155
13.
Razmjooy N et al (2021) Meta heuristics and optimization in computer and electrical engineering. Springer Science and Business Media LLC, ChamCrossRef
14.
Holland JH (1975) Adpatation in natural and artificial systems. Aust J Basic Appl Sci 5(3):295–302
15.
Kennedy J, Eberhart RC (1995) Particle swarm optimization. In: Proceedings of the 1995 IEEE international conference on neural networks, vol 4. IEEE Press, pp 1942–1948
16.
Storn R, Price K Differential evolution-a simple and efficient adaptive scheme for global optimization over continuous spaces. In: Technical report. International Computer Science Institute, Berkley.
17.
Sahu BK, Pati S, Panda S (2014) Hybrid differential evolution particle swam optimization optimized fuzzy proportional–integral derivative controller for automatic generation control of interconnected power system. IET Gener Transm Distrib 8(11):1789–1800CrossRef
18.
Kim DH, Abraham A, Hirota K (2007) Hybrid genetic: paricle swam otimization algorithm. Springer, Cham, pp 147–170
19.
Ahuja A, Narayan S, Kumar J (2018) Two degree of freedom controller for load frequency control with communication delay using hybrid strategy. Int J Future Revolut Comput Sci Commun Eng 4(s):179–184
20.
Jean T et al (2018) Optimal 2-DOF PID controller design for load frequency control with various nonlinearities. Int J Eng Technol 7:955–959
21.
Milijkovic D (2017) Brief review of self–organized maps. MIPRO, Opatija, pp 22–26
22.
Vakula VS, Ramesh N (2017) Frequency Regulation in Hybrid Power Systems. Int J Eng Dev Res 5:790–803
23.
Pandey SK et al (2014) Frequency regulation in hybrid power systems using particle swarm optimization and linear matrix inequalities based robust controller design. Energy Convers Manag 63:887–900
24.
Guha D et al (2016) Load frequency control of large scale power system using quasi-oppositional grey wolf optimization algorithm. Int J Eng Sci Technol 19(4):1693–1713MathSciNet
25.
Vakula VS, Sudha KR (2012) Design Of Differential Evolution Algorithm Based Robust Fuzzy Logic Power System Stabilizer Using Minimum Rule Base. IET Gener Transm Distrib 6(2):121–132CrossRef
26.
Vakula VS, et al. (2016) Design of membership functions for fuzzy power system stabilizer using self organized mapping. In: International conference on advances in electrical, electronic and systems engineering, (ICAEES), pp 258–264
27.
28.
Liu Y (2006) Adaptive self-organized maps based on bidirectional approximate reasoning and its applications to information filtering. Knowl Based Syst 19(8):719–729CrossRef
29.
Sahu A, Prasad LB (2017) Load frequency control of interconnected five-area power system with pid controller. In: IEEE, international conference on information, communication, instrumentation and control, vol 171, pp 1–8
30.
Goswami L, Biswas S, Dutta S, Roy PK (2017) Load frequency control of multi area power system with de-regulation using OKHA. ICONSTEM 978:507–512
31.
SA Rahim, S Ahmed, M Nawari (2018) A study of load frequency control for two area power system using two controllers. In: International conference on computer, control, electrical, and electronics engineering, pp 978–983
32.
Pappachen A, Fathima AP (2017) Critical research areas on load frequency control issues in a deregulated power system: a state-of-the-art-of-review. Renew Sustain Energy Rev 72(2017):163–177CrossRef
33.
R Mandal, K Chatterjee, BK Patil (2018) Load frequency control of a single area hybrid power system by using integral and LQR based integral controllers. In: National power systems conference, pp 14–16
34.
Tungadio DH, Sun Y (2019) Load frequency controllers considering renewable energy integration in power system. Energy Rep 5:436–454CrossRef
35.
Shaker HK, El Zoghby H, Bahgat ME, Abdel-Ghany AM (2020) Load frequency control for an interconnected multi areas power system based on optimal control techniques. IEEE Xplore 978:63–67
36.
Tendesco F, Casavola A (2020) Load/frequency control in the presence of renewable energy systems: a reference—offset governor approach. IFAC Pap Online 53–2:12548–12553CrossRef
37.
38.
Shouran M, Anayi F, Packianather M, Habil M (2021) Load frequency control based on the bees algorithm for the great britain power system. Designs 5:50CrossRef
39.
Sitmpul S, Fujita G (2021) Impact of advanced load-frequency control on optimal size of battery energy storage in islanded microgrid system. Energies 14:2213CrossRef
40.
41.
Hakimuddin N, Nasiruddin I, Bhatti TS, Arya Y (2020) Optimal automatic generation control with hydro, thermal, gas, and wind power plants in 2- area interconnected power system. Electr Power Compon Syst 48:1–14CrossRef
42.
Çelik E, Ztu¨rk NO¨, Arya Y, Ocak C (2021) (1 + PD)-PID cascade controller design for performance betterment of load frequency control in diverse electric power systems. Neural Comput Appl 33:15433–15456CrossRef
Metadaten
Titel
Design of self-organized membership functions for an optimal fuzzy controller in enhancing frequency regulation
verfasst von
K. Swetha
D. Vijay Kumar
V. S. Vakula
Publikationsdatum
29.09.2023
Verlag
Springer Berlin Heidelberg
Erschienen in
Electrical Engineering / Ausgabe 6/2023
Print ISSN: 0948-7921
Elektronische ISSN: 1432-0487
DOI
https://doi.org/10.1007/s00202-023-01936-x

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