Skip to main content
Erschienen in: Neural Computing and Applications 22/2021

12.06.2021 | Original Article

(1 + PD)-PID cascade controller design for performance betterment of load frequency control in diverse electric power systems

verfasst von: Emre Çelik, Nihat Öztürk, Yogendra Arya, Cemil Ocak

Erschienen in: Neural Computing and Applications | Ausgabe 22/2021

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

In our world of today developing incredibly fast, load frequency control (LFC) is an indispensable and vital element in increasing the standard of living of a country by providing a good quality of electric power. To this end, rapid and notable development has been recorded in LFC area. However, researchers worldwide need for the existence of not only effective but also computationally inexpensive control algorithm considering the limitations and difficulties in practice. Hence, this paper deals with the introduction of (1 + PD)-PID cascade controller to the relevant field. The controller is simple to implement and it connects the output of 1 + PD controller with the input of PID controller where the frequency and tie-line power deviation are applied to the latter controller as feedback signals also, which is the first attempt made in the literature. To discover the most optimistic results, controller gains are tuned concurrently by dragonfly search algorithm (DSA). For the certification purpose of the advocated approach, two-area thermal system with/without governor dead band nonlinearity is considered as test systems initially. Then single/multi-area multi-source power systems with/without a HVDC link are employed for the enriched validation purpose. The results of our proposal are analyzed in comparison with those of other prevalent works, which unveil that despite its simplicity, DSA optimized (1 + PD)-PID cascade strategy delivers better performance than others in terms of smaller values of the chosen objective function and settling time/undershoot/overshoot of the frequency and tie-line power deviations following a step load perturbation.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Anhänge
Nur mit Berechtigung zugänglich
Literatur
1.
Zurück zum Zitat Ali ES, Abd-Elazim SM (2011) Bacteria foraging optimization algorithm based load frequency controller for interconnected power system. Int J Electr Power Energy Syst 33(3):633–638CrossRef Ali ES, Abd-Elazim SM (2011) Bacteria foraging optimization algorithm based load frequency controller for interconnected power system. Int J Electr Power Energy Syst 33(3):633–638CrossRef
2.
Zurück zum Zitat Panda S, Mohanty B, Hota PK (2013) Hybrid BFOA-PSO algorithm for automatic generation control of linear and nonlinear interconnected power systems. Appl Soft Comput 13:4718–4730CrossRef Panda S, Mohanty B, Hota PK (2013) Hybrid BFOA-PSO algorithm for automatic generation control of linear and nonlinear interconnected power systems. Appl Soft Comput 13:4718–4730CrossRef
3.
Zurück zum Zitat Abd-Elazim SM, Ali ES (2018) Load frequency controller design of a two-area system composing of PV grid and thermal generator via firefly algorithm. Neural Comput Appl 30:607–616CrossRef Abd-Elazim SM, Ali ES (2018) Load frequency controller design of a two-area system composing of PV grid and thermal generator via firefly algorithm. Neural Comput Appl 30:607–616CrossRef
4.
Zurück zum Zitat Farahani M, Ganjefar S, Alizadeh M (2012) PID controller adjustment using chaotic optimisation algorithm for multi-area load frequency control. IET Control Theory Appl 6(13):1984–1992MathSciNetCrossRef Farahani M, Ganjefar S, Alizadeh M (2012) PID controller adjustment using chaotic optimisation algorithm for multi-area load frequency control. IET Control Theory Appl 6(13):1984–1992MathSciNetCrossRef
5.
Zurück zum Zitat Konar G, Mandal KK, Chakraborty N (2014) Two area load frequency control of hybrid power system using genetic algorithm and differential evolution tuned PID controller in deregulated environment transactions on engineering technologies. Springer Konar G, Mandal KK, Chakraborty N (2014) Two area load frequency control of hybrid power system using genetic algorithm and differential evolution tuned PID controller in deregulated environment transactions on engineering technologies. Springer
6.
Zurück zum Zitat Omar M, Soliman M, Abdel Ghany AM, Bendary F (2013) Optimal tuning of PID controllers for hydrothermal load frequency control using ant colony optimization. Int J Elect Eng Inform 5(3):348–360 Omar M, Soliman M, Abdel Ghany AM, Bendary F (2013) Optimal tuning of PID controllers for hydrothermal load frequency control using ant colony optimization. Int J Elect Eng Inform 5(3):348–360
7.
Zurück zum Zitat Çelik E (2020) Improved stochastic fractal search algorithm and modified cost function for automatic generation control of interconnected electric power systems. Eng Appl Artif Intell 88:103407CrossRef Çelik E (2020) Improved stochastic fractal search algorithm and modified cost function for automatic generation control of interconnected electric power systems. Eng Appl Artif Intell 88:103407CrossRef
8.
Zurück zum Zitat Guha D, Roy PK, Banerjee S (2016) Load frequency control of large scale power system using quasi-oppositional grey wolf optimization algorithm. Int J Eng Sci Technol 19(4):1693–1713 Guha D, Roy PK, Banerjee S (2016) Load frequency control of large scale power system using quasi-oppositional grey wolf optimization algorithm. Int J Eng Sci Technol 19(4):1693–1713
9.
Zurück zum Zitat Shiva CK, Shankar G, Mukherjee V (2015) Automatic generation control of power system using a novel quasi-oppositional harmony search algorithm. Int J Electr Power Energy Syst 73:787–804CrossRef Shiva CK, Shankar G, Mukherjee V (2015) Automatic generation control of power system using a novel quasi-oppositional harmony search algorithm. Int J Electr Power Energy Syst 73:787–804CrossRef
10.
Zurück zum Zitat Guha D, Roy PK, Banerjee S (2017) Study of differential search algorithm based automatic generation control of an interconnected thermal-thermal system with governor dead-band. Appl Soft Comput 52:160–175CrossRef Guha D, Roy PK, Banerjee S (2017) Study of differential search algorithm based automatic generation control of an interconnected thermal-thermal system with governor dead-band. Appl Soft Comput 52:160–175CrossRef
11.
Zurück zum Zitat Hota PK, Mohanty B (2016) Automatic generation control of multi source power generation under deregulated environment. Int J Electr Power Energy Syst 75:205–214CrossRef Hota PK, Mohanty B (2016) Automatic generation control of multi source power generation under deregulated environment. Int J Electr Power Energy Syst 75:205–214CrossRef
12.
Zurück zum Zitat Hasanien HM, El-Fergany A (2017) Symbiotic organisms search algorithm for automatic generation control of interconnected power systems including wind farms. IET Gener Transm Distrib 11(7):1692–1700CrossRef Hasanien HM, El-Fergany A (2017) Symbiotic organisms search algorithm for automatic generation control of interconnected power systems including wind farms. IET Gener Transm Distrib 11(7):1692–1700CrossRef
13.
Zurück zum Zitat Guha D, Roy PK, Banerjee S (2018) Symbiotic organism search algorithm applied to load frequency control of multi-area power system. Energy Syst 9(2):439–468CrossRef Guha D, Roy PK, Banerjee S (2018) Symbiotic organism search algorithm applied to load frequency control of multi-area power system. Energy Syst 9(2):439–468CrossRef
14.
Zurück zum Zitat Guha D, Roy P, Banerjee S (2017) Quasi-oppositional symbiotic organism search algorithm applied to load frequency control. Swarm Evol Comput 33:46–67CrossRef Guha D, Roy P, Banerjee S (2017) Quasi-oppositional symbiotic organism search algorithm applied to load frequency control. Swarm Evol Comput 33:46–67CrossRef
15.
Zurück zum Zitat Gozde H, Taplamacioglu MC, Kocaarslan İ (2012) Comparative performance analysis of artificial bee colony algorithm in automatic generation control for interconnected reheat thermal power system. Int J Electr Power Energy Syst 42(1):167–178CrossRef Gozde H, Taplamacioglu MC, Kocaarslan İ (2012) Comparative performance analysis of artificial bee colony algorithm in automatic generation control for interconnected reheat thermal power system. Int J Electr Power Energy Syst 42(1):167–178CrossRef
16.
Zurück zum Zitat Guha D, Roy PK, Banerjee S (2018) Application of backtracking search algorithm in load frequency control of multi-area interconnected power system. Ain Shams Eng J 9:257–276CrossRef Guha D, Roy PK, Banerjee S (2018) Application of backtracking search algorithm in load frequency control of multi-area interconnected power system. Ain Shams Eng J 9:257–276CrossRef
17.
Zurück zum Zitat Sahu RK, Panda S, Padhan S (2015) A hybrid firefly algorithm and pattern search technique for automatic generation control of multi area power systems. Int J Electr Power Energy Syst 64:9–23CrossRef Sahu RK, Panda S, Padhan S (2015) A hybrid firefly algorithm and pattern search technique for automatic generation control of multi area power systems. Int J Electr Power Energy Syst 64:9–23CrossRef
18.
Zurück zum Zitat Guha D, Roy PK, Banerjee S (2016) Load frequency control of interconnected power system using grey wolf optimization. Swarm Evol Comput 27:97–115CrossRef Guha D, Roy PK, Banerjee S (2016) Load frequency control of interconnected power system using grey wolf optimization. Swarm Evol Comput 27:97–115CrossRef
19.
Zurück zum Zitat Mohanty B, Panda S, Hota PK (2014) Controller parameters tuning of differential evolution algorithm and its application to load frequency control of multi-source power system. Int J Electr Power Energy Syst 54:77–85CrossRef Mohanty B, Panda S, Hota PK (2014) Controller parameters tuning of differential evolution algorithm and its application to load frequency control of multi-source power system. Int J Electr Power Energy Syst 54:77–85CrossRef
20.
Zurück zum Zitat Singh SP, Prakash T, Singh VP, Babu MG (2017) Analytic hierarchy process based automatic generation control of multi-area interconnected power system using jaya algorithm. Eng Appl Artif Intell 60(2):35–44CrossRef Singh SP, Prakash T, Singh VP, Babu MG (2017) Analytic hierarchy process based automatic generation control of multi-area interconnected power system using jaya algorithm. Eng Appl Artif Intell 60(2):35–44CrossRef
21.
Zurück zum Zitat Vrdoljak K, Peric N, Petrovic I (2010) Sliding mode based load frequency controller in power systems. Elect Power Syst Res 80(5):514–527CrossRef Vrdoljak K, Peric N, Petrovic I (2010) Sliding mode based load frequency controller in power systems. Elect Power Syst Res 80(5):514–527CrossRef
22.
Zurück zum Zitat Dahiya P, Sharma V, Naresh R (2019) Optimal sliding mode control for frequency regulation in deregulated power systems with DFIG-based wind turbine and TCSC–SMES. Neural Comput Appl 31:3039–3056CrossRef Dahiya P, Sharma V, Naresh R (2019) Optimal sliding mode control for frequency regulation in deregulated power systems with DFIG-based wind turbine and TCSC–SMES. Neural Comput Appl 31:3039–3056CrossRef
23.
Zurück zum Zitat Rosaline AD, Somarajan UK (2019) Structured H-infinity controller for an uncertain deregulated power system. IEEE Trans Indus Appl 55(1):892–906CrossRef Rosaline AD, Somarajan UK (2019) Structured H-infinity controller for an uncertain deregulated power system. IEEE Trans Indus Appl 55(1):892–906CrossRef
24.
Zurück zum Zitat Sondhi S, Hote YV (2014) Fractional order PID controller for load frequency control. Energy Convers Manage 85:343–353CrossRef Sondhi S, Hote YV (2014) Fractional order PID controller for load frequency control. Energy Convers Manage 85:343–353CrossRef
25.
Zurück zum Zitat Arya Y, Kumar N (2017) BFOA-scaled fractional order fuzzy PID controller applied to AGC of multi-area multi-source electric power generating systems. Swarm Evol Comput 32:202–218CrossRef Arya Y, Kumar N (2017) BFOA-scaled fractional order fuzzy PID controller applied to AGC of multi-area multi-source electric power generating systems. Swarm Evol Comput 32:202–218CrossRef
26.
Zurück zum Zitat Zamani A, Barakati SM, Yousofi-Darmian S (2016) Design of a fractional order PID controller using GBMO algorithm for load frequency control with governor saturation consideration. ISA Trans 64:56–66CrossRef Zamani A, Barakati SM, Yousofi-Darmian S (2016) Design of a fractional order PID controller using GBMO algorithm for load frequency control with governor saturation consideration. ISA Trans 64:56–66CrossRef
28.
Zurück zum Zitat Kumar N, Tyagi B, Kumar V (2016) Deregulated multi area AGC scheme using BBBC-FOPID controller. Arab J Sci Eng 42(7):2641–2649CrossRef Kumar N, Tyagi B, Kumar V (2016) Deregulated multi area AGC scheme using BBBC-FOPID controller. Arab J Sci Eng 42(7):2641–2649CrossRef
29.
Zurück zum Zitat Ebrahim MA, Becherif M, Abdelaziz AY (2021) PID-/FOPID-based frequency control of zero-carbon multisources-based interconnected power systems underderegulated scenarios. Int Trans Elect Energy Syst 31(2):12712CrossRef Ebrahim MA, Becherif M, Abdelaziz AY (2021) PID-/FOPID-based frequency control of zero-carbon multisources-based interconnected power systems underderegulated scenarios. Int Trans Elect Energy Syst 31(2):12712CrossRef
30.
Zurück zum Zitat Arya Y, Dahiya P, Çelik E, Sharma G, Gözde H, Nasiruddin I (2021) AGC performance amelioration in multi-area interconnected thermal and thermal-hydro-gas power systems using a novel controller. Eng Sci Technol, Int J 24(2):384–396 Arya Y, Dahiya P, Çelik E, Sharma G, Gözde H, Nasiruddin I (2021) AGC performance amelioration in multi-area interconnected thermal and thermal-hydro-gas power systems using a novel controller. Eng Sci Technol, Int J 24(2):384–396
31.
Zurück zum Zitat Arya Y, Kumar N, Dahiya P, Sharma G, Çelik E, Dhundhara S, Sharma M (2021) Cascade-IλDμN controller design for AGC of thermal and hydrothermal power systems integrated with renewable energy sources. IET Renew Power Gener 15(3):504–520CrossRef Arya Y, Kumar N, Dahiya P, Sharma G, Çelik E, Dhundhara S, Sharma M (2021) Cascade-IλDμN controller design for AGC of thermal and hydrothermal power systems integrated with renewable energy sources. IET Renew Power Gener 15(3):504–520CrossRef
32.
Zurück zum Zitat Saikia LC, Mishra S, Sinha N, Nanda J (2011) Automatic generation control of a multi area hydrothermal system using reinforced learning neural network controller. Int J Electr Power Energy Syst 33(4):1101–1108CrossRef Saikia LC, Mishra S, Sinha N, Nanda J (2011) Automatic generation control of a multi area hydrothermal system using reinforced learning neural network controller. Int J Electr Power Energy Syst 33(4):1101–1108CrossRef
33.
Zurück zum Zitat Sahu RK, Panda S, Sekhar GTC (2015) A novel hybrid PSO-PS optimized fuzzy PI controller for AGC in multi area interconnected power systems. Int J Electr Power Energy Syst 64:880–893CrossRef Sahu RK, Panda S, Sekhar GTC (2015) A novel hybrid PSO-PS optimized fuzzy PI controller for AGC in multi area interconnected power systems. Int J Electr Power Energy Syst 64:880–893CrossRef
34.
Zurück zum Zitat Sahu BK, Pati TK, Nayak JR, Panda S, Kar SK (2016) A novel hybrid LUS-TLBO optimized fuzzy-PID controller for load frequency control of multi-source power system. Int J Electr Power Energy Syst 74:58–69CrossRef Sahu BK, Pati TK, Nayak JR, Panda S, Kar SK (2016) A novel hybrid LUS-TLBO optimized fuzzy-PID controller for load frequency control of multi-source power system. Int J Electr Power Energy Syst 74:58–69CrossRef
35.
Zurück zum Zitat Nayak JR, Shaw B, Sahu BK (2018) Application of adaptive-SOS (ASOS) algorithm based interval type-2 fuzzy-PID controller with derivative filter for automatic generation control of an interconnected power system. Int J Eng Sci Technol 21(3):465–485 Nayak JR, Shaw B, Sahu BK (2018) Application of adaptive-SOS (ASOS) algorithm based interval type-2 fuzzy-PID controller with derivative filter for automatic generation control of an interconnected power system. Int J Eng Sci Technol 21(3):465–485
36.
Zurück zum Zitat Haroun AHG, Li YY (2017) A novel optimized hybrid fuzzy logic intelligent PID controller for an interconnected multi-area power system with physical constraints and boiler dynamics. ISA Trans 71(2):364–379CrossRef Haroun AHG, Li YY (2017) A novel optimized hybrid fuzzy logic intelligent PID controller for an interconnected multi-area power system with physical constraints and boiler dynamics. ISA Trans 71(2):364–379CrossRef
38.
Zurück zum Zitat Nayak N, Mishra S, Sharma D, Sahu BK (2019) Application of modified sine cosine algorithm to optimally design PID/fuzzy-PID controllers to deal with AGC issues in deregulated power system. IET Gener Transm Distrib 13(12):2474–2487CrossRef Nayak N, Mishra S, Sharma D, Sahu BK (2019) Application of modified sine cosine algorithm to optimally design PID/fuzzy-PID controllers to deal with AGC issues in deregulated power system. IET Gener Transm Distrib 13(12):2474–2487CrossRef
40.
Zurück zum Zitat Khuntia SR, Panda S (2012) Simulation study for automatic generation control of a multi-area power system by ANFIS approach. Appl Soft Comput 12:333–341CrossRef Khuntia SR, Panda S (2012) Simulation study for automatic generation control of a multi-area power system by ANFIS approach. Appl Soft Comput 12:333–341CrossRef
41.
Zurück zum Zitat Fathy A, Kassem AM (2019) Antlion optimizer-ANFIS load frequency control for multi-interconnected plants comprising photovoltaic and wind turbine. ISA Trans 87:282–296CrossRef Fathy A, Kassem AM (2019) Antlion optimizer-ANFIS load frequency control for multi-interconnected plants comprising photovoltaic and wind turbine. ISA Trans 87:282–296CrossRef
42.
Zurück zum Zitat Sharma D, Mishra S (2019) Non-linear disturbance observer-based improved frequency and tie-line power control of modern interconnected power systems. IET Gener Transm Distrib 13(16):3564–3573CrossRef Sharma D, Mishra S (2019) Non-linear disturbance observer-based improved frequency and tie-line power control of modern interconnected power systems. IET Gener Transm Distrib 13(16):3564–3573CrossRef
44.
Zurück zum Zitat Chandran K, Murugesan R, Gurusamy S, Mohideen KA, Pandiyan S, Nayyar A, Abouhawwash M, Nam AY (2020) Modified cascade controller design for unstable processes with large dead time. IEEE Access 8:157022–157036CrossRef Chandran K, Murugesan R, Gurusamy S, Mohideen KA, Pandiyan S, Nayyar A, Abouhawwash M, Nam AY (2020) Modified cascade controller design for unstable processes with large dead time. IEEE Access 8:157022–157036CrossRef
45.
Zurück zum Zitat Sivalingam R, Chinnamuthu S, Dash SS (2017) A hybrid stochastic fractal search and local unimodal sampling based multistage PDF plus (1 + PI) controller for automatic generation control of power systems. J Franklin Inst 354:4762–4783MathSciNetMATHCrossRef Sivalingam R, Chinnamuthu S, Dash SS (2017) A hybrid stochastic fractal search and local unimodal sampling based multistage PDF plus (1 + PI) controller for automatic generation control of power systems. J Franklin Inst 354:4762–4783MathSciNetMATHCrossRef
47.
Zurück zum Zitat Padhy S, Panda S, Mahapatra S (2017) A modified GWO technique based cascade PI-PD controller for AGC of power systems in presence of plug in electric vehicles. Int J Eng Sci Technol 20(2):427–442 Padhy S, Panda S, Mahapatra S (2017) A modified GWO technique based cascade PI-PD controller for AGC of power systems in presence of plug in electric vehicles. Int J Eng Sci Technol 20(2):427–442
48.
Zurück zum Zitat Dash P, Saikia LC, Sinha N (2016) Flower pollination algorithm optimized PI-PD cascade controller in automatic generation control of a multi-area power system. Int J Electr Power Energy Syst 82:19–28CrossRef Dash P, Saikia LC, Sinha N (2016) Flower pollination algorithm optimized PI-PD cascade controller in automatic generation control of a multi-area power system. Int J Electr Power Energy Syst 82:19–28CrossRef
49.
Zurück zum Zitat Padhy S, Panda S (2017) A hybrid stochastic fractal search and pattern search technique based cascade PI-PD controller for automatic generation control of multi-source power systems in presence of plug in electric vehicles. CAAI Trans Intell Technol 2:12–25CrossRef Padhy S, Panda S (2017) A hybrid stochastic fractal search and pattern search technique based cascade PI-PD controller for automatic generation control of multi-source power systems in presence of plug in electric vehicles. CAAI Trans Intell Technol 2:12–25CrossRef
50.
Zurück zum Zitat Puja D (2015) Saikia LC, Sinha N, “Automatic generation control of multi area thermal system using Bat algorithm optimized PD–PID cascade controller.” Int J Electr Power Energy Syst 68:364–372CrossRef Puja D (2015) Saikia LC, Sinha N, “Automatic generation control of multi area thermal system using Bat algorithm optimized PD–PID cascade controller.” Int J Electr Power Energy Syst 68:364–372CrossRef
51.
Zurück zum Zitat Satapathy P, Debnath MK, Mohanty MK, “Design of PD-PID controller with double derivative filter for frequency regulation”, IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, Delhi, India, pp. 1142–1147, 2018. Satapathy P, Debnath MK, Mohanty MK, “Design of PD-PID controller with double derivative filter for frequency regulation”, IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, Delhi, India, pp. 1142–1147, 2018.
52.
Zurück zum Zitat Nayyar A, Le DN, Nguyen HG (2018) Advances in swarm intelligence for optimizing problems in computer science. CRC PressMATHCrossRef Nayyar A, Le DN, Nguyen HG (2018) Advances in swarm intelligence for optimizing problems in computer science. CRC PressMATHCrossRef
53.
Zurück zum Zitat Tharwat A, Gabel T, Hassanien AE, “Parameter optimization of support vector machine using dragonfly algorithm”, International Conference on Advanced Intelligent Systems and Informatics, Springer, Cham, pp. 309–319, 2017. Tharwat A, Gabel T, Hassanien AE, “Parameter optimization of support vector machine using dragonfly algorithm”, International Conference on Advanced Intelligent Systems and Informatics, Springer, Cham, pp. 309–319, 2017.
54.
Zurück zum Zitat Kumaran J, Sasikala J (2017) Dragonfly optimization based ANN model for forecasting India’s primary fuels’ demand. Int J Computer Appl 164(7):18–22 Kumaran J, Sasikala J (2017) Dragonfly optimization based ANN model for forecasting India’s primary fuels’ demand. Int J Computer Appl 164(7):18–22
55.
Zurück zum Zitat Wu J, Zhu Y, Wang Z, Song Z, Liu X, Wang W, Zhang Z, Yu Y, Xu Z, Zhang T, Zhou J (2017) A novel ship classification approach for high resolution SAR images based on the BDAKELM classification model. Int J Remote Sens 38(23):6457–6476CrossRef Wu J, Zhu Y, Wang Z, Song Z, Liu X, Wang W, Zhang Z, Yu Y, Xu Z, Zhang T, Zhou J (2017) A novel ship classification approach for high resolution SAR images based on the BDAKELM classification model. Int J Remote Sens 38(23):6457–6476CrossRef
56.
Zurück zum Zitat Hariharan M, Sindhu R, Vijean V, Yazid H, Nadarajaw T, Yaacob S, Polat K (2018) Improved binary dragonfly optimization algorithm and wavelet packet based non-linear features for infant cry classification. Comput Methods Programs Biomed 155:39–51CrossRef Hariharan M, Sindhu R, Vijean V, Yazid H, Nadarajaw T, Yaacob S, Polat K (2018) Improved binary dragonfly optimization algorithm and wavelet packet based non-linear features for infant cry classification. Comput Methods Programs Biomed 155:39–51CrossRef
57.
Zurück zum Zitat Rakoth S, Sasikala J (2017) Multilevel segmentation of fundus images using dragonfly optimization. Int J Computer Appl 164(4):28–32 Rakoth S, Sasikala J (2017) Multilevel segmentation of fundus images using dragonfly optimization. Int J Computer Appl 164(4):28–32
58.
Zurück zum Zitat Hemamalini B, Nagarajan V (2020) Wavelet transform and pixel strength-based robust watermarking using dragonfly optimization. Multim Tools Appl 79(7):8727–8746CrossRef Hemamalini B, Nagarajan V (2020) Wavelet transform and pixel strength-based robust watermarking using dragonfly optimization. Multim Tools Appl 79(7):8727–8746CrossRef
59.
Zurück zum Zitat Połap D, Wo´zniak M, “Detection of important features from images using heuristic approach”, International Conference on Information and Software Technologies, Springer, Berlin, Germany, pp. 432–441, 2017. Połap D, Wo´zniak M, “Detection of important features from images using heuristic approach”, International Conference on Information and Software Technologies, Springer, Berlin, Germany, pp. 432–441, 2017.
60.
Zurück zum Zitat Seyedali M (2016) Dragonfly algorithm: a new meta-heuristic optimization technique for solving single-objective, discrete, and multi-objective problems. Neural Comput Appl 27(4):1053–1073CrossRef Seyedali M (2016) Dragonfly algorithm: a new meta-heuristic optimization technique for solving single-objective, discrete, and multi-objective problems. Neural Comput Appl 27(4):1053–1073CrossRef
61.
Zurück zum Zitat Venkatesh M, Sudheer G (2017) Optimal load frequency regulation of micro-grid using dragonfly algorithm. Int Res J Eng Technol 4(8):978–981 Venkatesh M, Sudheer G (2017) Optimal load frequency regulation of micro-grid using dragonfly algorithm. Int Res J Eng Technol 4(8):978–981
62.
Zurück zum Zitat Nour EL, Kouba Y, Menaa M, Hasni M, Boudour M (2018) A novel optimal combined fuzzy PID controller employing dragonfly algorithm for solving automatic generation control problem. Electric Power Compon Syst 46(19–20):2054–2070 Nour EL, Kouba Y, Menaa M, Hasni M, Boudour M (2018) A novel optimal combined fuzzy PID controller employing dragonfly algorithm for solving automatic generation control problem. Electric Power Compon Syst 46(19–20):2054–2070
63.
Zurück zum Zitat Çelik E (2021) Design of new fractional order PI–fractional order PD cascade controller through dragonfly search algorithm for advanced load frequency control of power systems. Soft Comput 20:1193–1217CrossRef Çelik E (2021) Design of new fractional order PI–fractional order PD cascade controller through dragonfly search algorithm for advanced load frequency control of power systems. Soft Comput 20:1193–1217CrossRef
64.
Zurück zum Zitat Singh S, Ashok A, Kumar M, Garima Rawat TK (2018) Optimal design of IIR filter using dragonfly algorithm applications of artificial intelligence techniques in engineering. Springer Singh S, Ashok A, Kumar M, Garima Rawat TK (2018) Optimal design of IIR filter using dragonfly algorithm applications of artificial intelligence techniques in engineering. Springer
65.
Zurück zum Zitat Aadil F, Ahsan W, Rehman ZU, Shah PA, Rho S, Mehmood I (2018) Clustering algorithm for internet of vehicles (IoV) based on dragonfly optimizer (CAVDO). J Supercomput 74:4542–4567CrossRef Aadil F, Ahsan W, Rehman ZU, Shah PA, Rho S, Mehmood I (2018) Clustering algorithm for internet of vehicles (IoV) based on dragonfly optimizer (CAVDO). J Supercomput 74:4542–4567CrossRef
66.
Zurück zum Zitat Saleh AA, Mohamed AA, Hemeida AM, Ibrahim AA, “Comparison of different optimization techniques for optimal allocation of multiple distribution generation”, International Conference on Innovative Trends in Computer Engineering, Aswan, Egypt, pp. 317–323, 2018. Saleh AA, Mohamed AA, Hemeida AM, Ibrahim AA, “Comparison of different optimization techniques for optimal allocation of multiple distribution generation”, International Conference on Innovative Trends in Computer Engineering, Aswan, Egypt, pp. 317–323, 2018.
67.
Zurück zum Zitat Wen G, Hu G, Hu J, Shi X, Chen G (2016) Frequency regulation of source-grid-load systems: a compound control strategy. IEEE Trans Industr Inf 12(1):69–78 Wen G, Hu G, Hu J, Shi X, Chen G (2016) Frequency regulation of source-grid-load systems: a compound control strategy. IEEE Trans Industr Inf 12(1):69–78
68.
Zurück zum Zitat Barisal AK (2015) Comparative performance analysis of teaching learning based optimization for automatic load frequency control of multi-source power systems. Int J Electr Power Energy Syst 66:67–77CrossRef Barisal AK (2015) Comparative performance analysis of teaching learning based optimization for automatic load frequency control of multi-source power systems. Int J Electr Power Energy Syst 66:67–77CrossRef
69.
Zurück zum Zitat Suresh V, Sreejith S (2017) Generation dispatch of combined solar thermal systems using dragonfly algorithm. Computing 99:59–80MathSciNetMATHCrossRef Suresh V, Sreejith S (2017) Generation dispatch of combined solar thermal systems using dragonfly algorithm. Computing 99:59–80MathSciNetMATHCrossRef
70.
Zurück zum Zitat Rout UK, Sahu RK, Panda S (2013) Design and analysis of differential evolution algorithm based automatic generation control for interconnected power system. Ain Shams Eng J 4(3):409–421CrossRef Rout UK, Sahu RK, Panda S (2013) Design and analysis of differential evolution algorithm based automatic generation control for interconnected power system. Ain Shams Eng J 4(3):409–421CrossRef
71.
Zurück zum Zitat Sahu RK, Panda S, Rout UK, Sahoo DK (2016) Teaching learning based optimization algorithm for automatic generation control of power system using 2-DOF PID controller. Int J Electr Power Energy Syst 77:287–301CrossRef Sahu RK, Panda S, Rout UK, Sahoo DK (2016) Teaching learning based optimization algorithm for automatic generation control of power system using 2-DOF PID controller. Int J Electr Power Energy Syst 77:287–301CrossRef
72.
Zurück zum Zitat Gozde H, Taplamacioglu MC (2011) Automatic generation control application with craziness based particle swarm optimization in a thermal power system. Int J Electr Power Energy Syst 33(1):8–16CrossRef Gozde H, Taplamacioglu MC (2011) Automatic generation control application with craziness based particle swarm optimization in a thermal power system. Int J Electr Power Energy Syst 33(1):8–16CrossRef
73.
Zurück zum Zitat Mohanty B, Panda S, Hota PK (2014) Differential evolution algorithm based automatic generation control for interconnected power systems with non-linearity. Alex Eng J 53:537–552CrossRef Mohanty B, Panda S, Hota PK (2014) Differential evolution algorithm based automatic generation control for interconnected power systems with non-linearity. Alex Eng J 53:537–552CrossRef
Metadaten
Titel
(1 + PD)-PID cascade controller design for performance betterment of load frequency control in diverse electric power systems
verfasst von
Emre Çelik
Nihat Öztürk
Yogendra Arya
Cemil Ocak
Publikationsdatum
12.06.2021
Verlag
Springer London
Erschienen in
Neural Computing and Applications / Ausgabe 22/2021
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-021-06168-3

Weitere Artikel der Ausgabe 22/2021

Neural Computing and Applications 22/2021 Zur Ausgabe

Premium Partner