Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards MyNewsletter Firmensuche
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
Sustainability in Automotive

Gesamtlebenszyklus wird immer wichtiger

In der Digitalkonferenz am 5. Dezember 2024 geht es um die wachsende Bedeutung der Kreislaufwirtschaft in der Automobilindustrie und wie nachhaltige Werkstoffe sowie wiederverwendbare Komponenten dazu beitragen können.
Erweiterte Suche
Anmelden
nach oben
Electrical Engineering
Erschienen in:

15.07.2023 | Original Paper

Load frequency regulation of interconnected muli-source multi-area power system with penetration of electric vehicles aggregator model

verfasst von: Ahlam Jameel, Muhammad Majid Gulzar

Erschienen in: Electrical Engineering | Ausgabe 6/2023

Einloggen

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

search-config
loading …

Abstract

The recent widespread installation of renewable energy sources in place of fossil fuel, along with the substitution of electric vehicles, has given rise to several integration difficulties. Due to their intermittent nature, these systems are generally supplied through variable power generators. The control architecture of such connected systems focuses especially on minimizing frequency deviations and tie-line power fluctuations. In this paper, a cascaded proportional integral-proportional derivative (PI-PD) controller is proposed based on a chaotic butterfly optimization algorithm (CBOA) for parametric determination. The suggested controller and optimization approach is tested on a two-area power network, consisting of multiple renewable energy systems and electric vehicles while considering different load and frequency fluctuations. The proposed algorithm is evaluated based on four performance features. Its superiority is demonstrated by comparing it with recent optimization-algorithms-tuned controllers such as artificial rabbit algorithm 1 + PD, chaos game algorithm 1 + PI, dragonfly search algorithm, fractional order PID, and firefly algorithm PID. The acquired results validate the efficient performance of the proposed methodology by mitigating the frequency and tie-line power variations. Moreover, it exhibits robustness and enhanced stability of the system throughout a broad range of parameters.
Vorheriger Artikel Energy interactions between in-home energy management (i-HEM) systems for enhancing resilience in smart residential microgrid
Nächster Artikel State and disturbance observer-based predictive control for DC–DC converters integrated with a photovoltaic system

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

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!

Jetzt informieren

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!

Jetzt informieren

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!

Jetzt informieren
Literatur
1.
2.
Gulzar MM, Murawwat S, Sibtain D, Shahid K, Javed I, Gui Y (2022) Modified cascaded controller design constructed on fractional operator ‘β’to mitigate frequency fluctuations for sustainable operation of power systems. Energies 15(20):7814
3.
Adefarati T, Bansal RC (2017) Reliability and economic assessment of a micro grid power system with the integration of renewable energy resources. Int J Appl Energy 206:911–933
4.
5.
Malik SM, Ai X, Sun Y, Zhengqi C, Shupeng Z (2017) Voltage and frequency control strategies of hybrid AC/DC microgrid: a review. IET Gener Transm Distrib 11(2):303–313
6.
Tan W, Zhou R (2017) Anti-windup schemes for load frequency control of power systems with governor deadband. In: Proceedings of the 12th IEEE conference on industrial electronicsand applications (ICIEA), Siem Reap, Cambodia, p 780–785
7.
Shankar R, Pradhan SR, Chatterjee K, Mandal R (2017) A comprehensive state of the art literature survey on LFC mechanism for power system. Int J Renew Sustain Energy Rev 76:1185–1207
8.
Xie M, Gulzar MM, Tehreem H, Javed MY, Rizvi STH (2020) Automatic voltage regulation of grid connected photovoltaic system using Lyapunov based sliding mode controller: a finite—time approach. Int J Control Autom Syst 18(6):1550–1560
9.
Sondhi S, Hote YV (2014) Fractional order PID controller for load frequency control. Energy Convers Manag 85:343–353
10.
Shakibjoo AD, Moradzadeh M, Moussavi SZ, Vandevelde L (2020) a novel technique for load frequency control of multi-area power systems. Energies 13(9):2125
11.
Arya Y (2020) Effect of electric vehicles on load frequency control in interconnected thermal and hydrothermal power systems utilizing CFFOIDF controller. IET Gener Transm Distrib 14(14):2666–2675
12.
Debnath MK, Jena T, Sanyal SK (2019) Frequency control analysis with PID-fuzzy-PID hybrid controller tuned by modified GWO technique. Int Trans Electr Energy Syst 29:e12074
13.
Gulzar MM, Sibtain D, Murtaza AF, Murawwat S, Saadi M, Jameel A (2021) Adaptive fuzzy based optimized proportional-integral controller to mitigate the frequency oscillation of multi-area photovoltaic thermal system. Int Trans Electr Energy Syst 31(1):e12643
14.
Abdelaziz AY, Ali ES (2016) Load frequency controller design via artificial cuckoo search algorithm. Electr Power Compon Syst 44(1):90–98
15.
Soundarrajan A, Sumathi S, Sundar C (2010) Particle swarm optimization based LFC and AVR of autonomous power generating system. IAENG Int J Comput Sci 37(1):37–41
16.
Kouba NEY, Menaa M, Hasni M, Boudour M (2015) Optimal load frequency control based on artificial bee colony optimization applied to single, two and multi-area interconnected power systems. In: 2015 3rd International conference on control, engineering & information technology (CEIT), IEEE, p 1–6
17.
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(2):607–616
18.
Nosratabadi SM, Bornapour M, Gharaei MA (2019) Grasshopper optimization algorithm for optimal load frequency control considering predictive functional modified PID controller in restructured multi-resource multi-area power system with redox flow battery units. Control Eng Pract 89:204–227
19.
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 32:202–218
20.
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 25(2):1193–1217MathSciNet
21.
Mirjalili S, Mirjalili SM, Lewis A (2014) Grey wolf optimizer. Adv Eng Softw 69:46–61
22.
Gupta E, Saxena A (2015) Robust generation control strategy based on grey wolf optimizer. J Electr Syst 11:174–188
23.
Sulaiman MH, Mustaffa Z, Mohamed MR, Aliman O (2015) Using the gray wolf optimizer for solving optimal reactive power dispatch problem. Appl Soft Comput J 32:286–292
24.
Yang B, Zhang XS, Yu T, Shu HC, Fang ZH (2017) Grouped grey wolf optimizer for maximum power point tracking of DFIG based wind turbine. Energy Convers Manag 133:427–443
25.
Jayabarathi T, Raghunathan T, Adarsh BR, Suganthan PN (2016) Economic dispatch using hybrid grey wolf optimizer. Energy 111:630–641
26.
Morsali J, Zare K, Hagh MT (2018) Comparative performance evaluation of fractional order controllers in LFC of two-area diverse-unit power system with considering GDB and GRC effects. J Electr Syst Inf Technol 5(3):708–722
27.
Gulzar MM, Iqbal A, Sibtain D, Khalid M (2023) An innovative converterless solar PV control strategy for a grid connected hybrid PV/Wind/Fuel-cell system coupled with battery energy storage. IEEE Access 11:23245–23259
28.
Ma M, Zhang C, Liu X, Chen H (2017) Distributed model predictive load frequency control of the multi-area power system after deregulation. IEEE Trans Ind Electron 64(6):5129–5139
29.
Gulzar MM, Rizvi STH, Javed MY, Sibtain D, ud Din RS (2019) Mitigating the load frequency fluctuations of interconnected power systems using model predictive controller. Int J Electron 8(2):156
30.
Khan MRB, Pasupuleti J, Jidin R (2018) Load frequency control for mini-hydropower system: a new approach based on self-tuning fuzzy proportional-derivative scheme. Sustain Energy Technol Assess 30:253–262
31.
Sibtain D, Gulzar MM, Murtaza AF, Murawwat S, Iqbal M, Rasool I, Hayat A, Arif A (2022) Variable structure model predictive controller-based gain scheduling for frequency regulation in renewable based power system. Int J Numer Model Electron Netw Devices Fields 35(4):e2989
32.
Sibtain D, Murtaza AF, Ahmed N, Sher HA, Gulzar MM (2021) Multi control adaptive fractional order PID control approach for PV/wind connected grid system. Int Trans Electr Energy Syst 31(4):e12809
33.
Lotfy ME, Senjyu T, Farahat MA-F, Abdel-Gawad AF, Lei L, Datta M (2018) Hybrid genetic algorithm fuzzy-based control schemes for small power system with high-penetration wind farms. Appl Sci 8(3):373
34.
Prasad S, Purwar S, Kishor N (2017) Non-linear sliding mode load frequency control in multi-area power system. Control Eng Pract 61:81–92
35.
Duan XG, Li HX, Deng H (2008) Effective tuning method for fuzzy PID with internal model control. Ind Eng Chem Res 47(21):8317–8323
36.
Saikia LC, Sinha N (2018) Load frequency control of a multi-area system incorporating distributed generation resources, gate-controlled series capacitor along with high-voltage direct current link using hybrid ALO-pattern search optimized fractional order controller. IET Renew Power Gener 13(2):330–341
37.
Rahmann C, Chamas SI, Alvarez R, Chavez H, Ortiz-Villalba D, Shklyarskiy Y (2020) Methodological approach for de_ning frequency related grid requirements in low-carbon power systems. IEEE Access 8:161929–161942
38.
Perkins G (2018) Techno-economic comparison of the levelised cost of electricity generation from solar PV and battery storage with solar PV and combustion of bio-crude using fast pyrolysis of biomass. Energy Convers Manag 171:1573–1588
39.
Javed MY, Mirza AF, Hasan A, Rizvi STH, Ling Q, Gulzar MM, Safder MU, Mansoor M (2019) A comprehensive review on a PV based system to harvest maximum power. Electronics 8(12):1480
40.
Iqbal M, Gulzar MM (2022) Master-slave design for frequency regulation in hybrid power system under complex environment. IET Renew Power Gener 16(14):3041–3057
41.
Khan M, Sun H, Xiang Y, Shi D (2021) Electric vehicles participation in load frequency control based on mixed H2/H1. Int J Electr Power Energy Syst 125:106420
42.
Baboli P, Moghaddam MP, Fallahi F (2011) Utilizing electric vehicles on primary frequency control in smart power grids. In: 2011 International conference on petroleum and sustainable development, p 6–10
43.
Izadkhast S, Garcia-Gonzalez P, Frias P, Ramirez-Elizondo L, Bauer P (2016) An aggregate model of plug-in electric vehicles including distribution network characteristics for primary frequency control. IEEE Trans Power Syst 31:2987–2998
44.
Mu Y, Wu J, Ekanayake J, Jenkins N, Jia H (2013) Primary frequency response from electric vehicles in the great britain power system. IEEE Trans Smart Grid 4:1142–1150
45.
Pham TN, Trinh H, Hien LV (2016) Load frequency control of power systems with electric vehicles and diverse transmission links using distributed functional observers. IEEE Trans Smart Grid 7:238–252
46.
Ko KS, Sung DK (2017) The effect of EV aggregators with time-varying delays on the stability of a load frequency control system. IEEE Trans Power Syst 2:1
47.
Gaur P, Bhowmik D, Soren N (2019) Utilisation of plug-in electric vehicles for frequency regulation of multi-area thermal interconnected power system. IET Energy Syst Integr 1(2):88–96
48.
Khoobana MH, Niknam T, Blaabjerg F, Dragicevic T (2016) A new load frequency control strategy for micro-grids with considering electrical vehicles. Electr Power Syst Res 143:1–14
49.
Falahati S, Taher SA, Shahidehpour M (2018) Grid secondary frequency control by optimized fuzzy control of electric vehicles. IEEE Trans Smart Grid 9(6):5613–5621
50.
Gulzar MM, Iqbal M, Shahzad S, Muqeet HA, Shahzad M, Hussain MM (2022) Load frequency control (LFC) strategies in renewable energy-based hybrid power systems: a review. Energies 15(10):3488
51.
ur Rehman U, Jameel A, Khan A, Gulzar MM, Murawwat S (2021) Load frequency management for a two-area system (thermal-PV & hydel-PV) by swarm optimization based intelligent algorithms. In: 2021 International conference on emerging power technologies (ICEPT), IEEE, p 1–6
52.
Falahati S, Taher SA, Shahidehpour M (2018) Grid secondary frequency control by optimized fuzzy control of electric vehicles. IEEE Trans Smart Grid 9(6):5613–5621
53.
Ota Y, Taniguchi H, Nakajima T, Liyanage KM, Baba J, Yokoyama A (2012) Autonomous distributed V2G (vehicle-to-grid) satisfying scheduled charging. IEEE Trans Smart Grid 3(1):559–564
54.
Lee Y, Park S (1998) PID controller tuning to obtain desired closed loop responses for cascade control systems. Ind Eng Chem 37:1859–1865
55.
56.
Ramesh M, Yadav AK, Pathak PK (2023) Artificial gorilla troops optimizer for frequency regulation of wind contributed microgrid system. ASME J Comput Nonlinear Dyn 18(1):011005
57.
Pathak PK, Yadav AK (2023) Design of optimal cascade control approach for LFM of interconnected power system. ISA Trans 137:506–518
58.
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 82:19–28
59.
Arora S, Singh S (2019) Butterfly optimization algorithm: a novel approach for global optimization. Soft Comput 23:715–734
60.
Awad A, Ali AF, Gaber T (2020) Feature selection method based on chaotic maps and butterfly optimization algorithm. In: Hassanien AE, Azar A, Gaber T, Oliva D, Tolba F (eds) AICV. Springer, Cham, pp 159–169
Metadaten
Titel
Load frequency regulation of interconnected muli-source multi-area power system with penetration of electric vehicles aggregator model
verfasst von
Ahlam Jameel
Muhammad Majid Gulzar
Publikationsdatum
15.07.2023
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/s00202-023-01923-2

Weitere Artikel der Ausgabe 6/2023

Fuel constrained combined heat and power dispatch problem using marine predators algorithm

  • Original Paper

Backstepping control of a bearingless induction motor based on a linear extended state observer

  • Original Paper

Transformer-less grid-connected 7-level inverter with model predictive control method suitable for PV application

  • Original Paper

Bidding optimization of aggregators considering safety check in a distribution network

  • Original Paper

Magnetic energy regulation of wireless power transfer systems based on coordinate transformation principle

  • Original Paper

Optimal allocation and smart scheduling of distributed energy resources and electrical vehicles to enhance economical operation of unbalanced distribution system

  • Original Paper