A Novel Hybrid Fuzzy PD-TID Controller for Load Frequency Control of a Standalone Microgrid
Uncertainties related to the power output from the renewable energy sources and low inertia of a standalone microgrid (SMG) demand a robust control strategy for continuous frequency control of the SMG. Consequently, this paper proposes a novel hybrid fuzzy proportional derivative–tilt integral deriv...
Saved in:
| Published in | Arabian journal for science and engineering (2011) Vol. 46; no. 2; pp. 1053 - 1065 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Berlin/Heidelberg
Springer Berlin Heidelberg
01.02.2021
Springer Nature B.V |
| Subjects | |
| Online Access | Get full text |
| ISSN | 2193-567X 1319-8025 2191-4281 |
| DOI | 10.1007/s13369-020-04761-7 |
Cover
| Abstract | Uncertainties related to the power output from the renewable energy sources and low inertia of a standalone microgrid (SMG) demand a robust control strategy for continuous frequency control of the SMG. Consequently, this paper proposes a novel hybrid fuzzy proportional derivative–tilt integral derivative (FPD-TID) controller for the load frequency control (LFC) analysis of a SMG. Inspiration for the proposed controller comes from combining the advantages of both the FPD and the TID controllers. Gains of the proposed controller are optimized using a robust chaotic crow search algorithm (CCSA). In order to validate the proposed control scheme, comparative frequency deviation responses of the SMG are presented considering multiple disturbances. Also, the proposed controller is put to test for its sensitivity and robustness subject to a ± 30% variation in the SMG parameters and disconnection of various SMG subsystems, respectively. Since operational stability of the SMG is highly desirable under such circumstances, the proposed control scheme aims to achieve a trade-off between its performance and the operational stability of the SMG. The operational stability of the SMG is established through eigenvalue and root locus analysis. |
|---|---|
| AbstractList | Uncertainties related to the power output from the renewable energy sources and low inertia of a standalone microgrid (SMG) demand a robust control strategy for continuous frequency control of the SMG. Consequently, this paper proposes a novel hybrid fuzzy proportional derivative–tilt integral derivative (FPD-TID) controller for the load frequency control (LFC) analysis of a SMG. Inspiration for the proposed controller comes from combining the advantages of both the FPD and the TID controllers. Gains of the proposed controller are optimized using a robust chaotic crow search algorithm (CCSA). In order to validate the proposed control scheme, comparative frequency deviation responses of the SMG are presented considering multiple disturbances. Also, the proposed controller is put to test for its sensitivity and robustness subject to a ± 30% variation in the SMG parameters and disconnection of various SMG subsystems, respectively. Since operational stability of the SMG is highly desirable under such circumstances, the proposed control scheme aims to achieve a trade-off between its performance and the operational stability of the SMG. The operational stability of the SMG is established through eigenvalue and root locus analysis. |
| Author | Dahiya, Surender Khokhar, Bhuvnesh Parmar, K. P. Singh |
| Author_xml | – sequence: 1 givenname: Bhuvnesh orcidid: 0000-0001-7838-3601 surname: Khokhar fullname: Khokhar, Bhuvnesh email: bhuvnesh.k1987@gmail.com organization: Department of Electrical Engineering, Greater Noida Institute of Technology – sequence: 2 givenname: Surender surname: Dahiya fullname: Dahiya, Surender organization: Department of Electrical Engineering, Deenbandhu Chhotu Ram University of Science and Technology – sequence: 3 givenname: K. P. Singh surname: Parmar fullname: Parmar, K. P. Singh organization: Deputy Director (Technical), National Power Training Institute |
| BookMark | eNp9kEtLAzEUhYNUsNb-AVcB19E8ZibJsrTWFuoDrCC4CJlMUkbGSc1MhemvN20VwUVXuZDznXvuOQe92tcWgEuCrwnG_KYhjGUSYYoRTnhGED8BfUokQQkVpLefGUoz_noGhk1T5jgRTKaEsD54G8EH_2UrOOvyUBZwutluO_g0Qcv5BI593QZfVTZA5wNceB0FwX5ubG2631_oHdTwudV1oasYDN6XJvhVNLsAp05XjR3-vAPwMr1djmdo8Xg3H48WyDAiW8QKTnOZUJ4VAlMWR12kWGcuZ9RJZtKUkyLDecKlc5QLZ6jQJiOJ0C7DhWEDcHXwXQcfszWtevebUMeViiYiGnOZyKiiB1VM1zTBOrUO5YcOnSJY7XpUhx5V7FHte1Q8QuIfZMpWt-XudF1Wx1F2QJu4p17Z8JfqCPUNsZ-IAw |
| CitedBy_id | crossref_primary_10_1016_j_eswa_2024_125113 crossref_primary_10_1016_j_jai_2025_01_002 crossref_primary_10_1002_rnc_6449 crossref_primary_10_1016_j_jestch_2022_101166 crossref_primary_10_1109_ACCESS_2024_3358425 crossref_primary_10_1016_j_ijepes_2024_109921 crossref_primary_10_3389_fenrg_2024_1387780 crossref_primary_10_1016_j_compeleceng_2024_109837 crossref_primary_10_1007_s00521_024_10635_y crossref_primary_10_1038_s41598_024_74051_x crossref_primary_10_1186_s41601_022_00258_7 crossref_primary_10_3390_batteries8100186 crossref_primary_10_3390_en17092000 crossref_primary_10_1002_est2_70147 crossref_primary_10_1007_s00202_023_02222_6 crossref_primary_10_1016_j_apenergy_2021_118423 crossref_primary_10_1007_s13369_022_07376_2 crossref_primary_10_1007_s00202_023_01946_9 crossref_primary_10_1016_j_ijepes_2023_109679 crossref_primary_10_1016_j_ref_2024_100625 crossref_primary_10_1109_ACCESS_2021_3125317 crossref_primary_10_1080_02286203_2024_2392223 crossref_primary_10_1007_s00202_024_02518_1 crossref_primary_10_1016_j_egyr_2021_12_012 crossref_primary_10_1002_adc2_72 crossref_primary_10_1007_s12652_022_03751_x crossref_primary_10_1080_03772063_2022_2083026 crossref_primary_10_3389_fenrg_2022_921426 crossref_primary_10_1080_03772063_2022_2160838 crossref_primary_10_1080_14786451_2022_2126842 crossref_primary_10_1016_j_apenergy_2023_120639 crossref_primary_10_1016_j_asoc_2022_108574 crossref_primary_10_3390_pr10112320 crossref_primary_10_1016_j_ijepes_2023_109251 |
| Cites_doi | 10.1016/j.jcde.2017.02.005 10.1016/j.compstruc.2016.03.001 10.1109/TEC.2017.2757012 10.1109/TEC.2007.914309 10.1016/j.ijepes.2013.11.002 10.1109/NPSC.2018.8771738 10.1049/iet-cta.2011.0405 10.1007/978-3-030-34094-0_11 10.1016/j.ijepes.2019.01.038 10.1016/j.ijepes.2012.10.015 10.1016/j.compeleceng.2018.09.003 10.1109/POWERCON.2010.5666064 10.1016/j.ifacol.2018.06.162 10.1016/j.isatra.2015.03.003 10.1162/NECO_a_00912 10.1016/j.enconman.2014.05.091 10.1049/iet-gtd.2016.2120 10.1016/j.jesit.2017.05.002 10.1016/j.ast.2013.11.003 10.1016/j.ijepes.2014.06.053 10.1016/j.simpat.2010.06.004 10.1016/j.asoc.2018.03.019 10.1016/j.chaos.2015.06.020 10.1016/j.enconman.2010.11.011 10.1016/j.proeng.2017.02.431 10.1109/TSG.2015.2446984 |
| ContentType | Journal Article |
| Copyright | King Fahd University of Petroleum & Minerals 2020 King Fahd University of Petroleum & Minerals 2020. |
| Copyright_xml | – notice: King Fahd University of Petroleum & Minerals 2020 – notice: King Fahd University of Petroleum & Minerals 2020. |
| DBID | AAYXX CITATION |
| DOI | 10.1007/s13369-020-04761-7 |
| DatabaseName | CrossRef |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering |
| EISSN | 2191-4281 |
| EndPage | 1065 |
| ExternalDocumentID | 10_1007_s13369_020_04761_7 |
| GroupedDBID | -EM 0R~ 203 2KG 406 AAAVM AACDK AAHNG AAIAL AAJBT AANZL AARHV AASML AATNV AATVU AAUYE AAYTO AAYZH ABAKF ABDBF ABDZT ABECU ABFTD ABFTV ABJNI ABJOX ABKCH ABMQK ABQBU ABSXP ABTEG ABTKH ABTMW ABXPI ACAOD ACBXY ACDTI ACHSB ACMDZ ACMLO ACOKC ACPIV ACUHS ACZOJ ADINQ ADKNI ADKPE ADRFC ADTPH ADURQ ADYFF ADZKW AEBTG AEFQL AEJRE AEMSY AEOHA AESKC AEVLU AEXYK AFBBN AFLOW AFQWF AGAYW AGJBK AGMZJ AGQEE AGQMX AGRTI AHAVH AHBYD AHSBF AIAKS AIGIU AILAN AITGF AJBLW AJRNO AJZVZ ALFXC ALMA_UNASSIGNED_HOLDINGS AMXSW AMYLF AOCGG AXYYD BGNMA CSCUP DDRTE DNIVK DPUIP EBLON EBS EIOEI EJD ESX FERAY FIGPU FINBP FNLPD FSGXE GGCAI GQ6 GQ7 H13 HG6 I-F IKXTQ IWAJR J-C JBSCW JZLTJ L8X LLZTM M4Y MK~ NPVJJ NQJWS NU0 O9J PT4 ROL RSV SISQX SJYHP SNE SNPRN SNX SOHCF SOJ SPISZ SRMVM SSLCW STPWE TSG TUS UOJIU UTJUX UZXMN VFIZW Z5O Z7R Z7V Z7X Z7Y Z7Z Z81 Z83 Z85 Z88 ZMTXR ~8M AAPKM AAYXX ABBRH ABDBE ABFSG ABRTQ ACSTC AEZWR AFDZB AFHIU AFOHR AHPBZ AHWEU AIXLP ATHPR AYFIA CITATION 06D 0VY 23M 29~ 2KM 30V 408 5GY 96X AAJKR AARTL AAYIU AAYQN AAZMS ABTHY ACGFS ACKNC ADHHG ADHIR AEGNC AEJHL AENEX AEPYU AETCA AFWTZ AFZKB AGDGC AGWZB AGYKE AHYZX AIIXL AMKLP AMYQR ANMIH AYJHY ESBYG FFXSO FRRFC FYJPI GGRSB GJIRD GX1 HMJXF HRMNR HZ~ I0C IXD J9A KOV O93 OVT P9P R9I RLLFE S27 S3B SEG SHX T13 U2A UG4 VC2 W48 WK8 ~A9 |
| ID | FETCH-LOGICAL-c319t-3d72b94276d8023b94ad50a6fb32f93c5571d60b479ff278fc28ac6148af60dc3 |
| ISSN | 2193-567X 1319-8025 |
| IngestDate | Mon Jun 30 08:59:15 EDT 2025 Wed Oct 01 02:18:31 EDT 2025 Thu Apr 24 22:58:05 EDT 2025 Fri Feb 21 02:49:06 EST 2025 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 2 |
| Keywords | Chaotic crow search algorithm Hybrid FPD-TID controller Load frequency control Standalone microgrid |
| Language | English |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c319t-3d72b94276d8023b94ad50a6fb32f93c5571d60b479ff278fc28ac6148af60dc3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ORCID | 0000-0001-7838-3601 |
| PQID | 2484277949 |
| PQPubID | 2044268 |
| PageCount | 13 |
| ParticipantIDs | proquest_journals_2484277949 crossref_primary_10_1007_s13369_020_04761_7 crossref_citationtrail_10_1007_s13369_020_04761_7 springer_journals_10_1007_s13369_020_04761_7 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | 2021-02-01 |
| PublicationDateYYYYMMDD | 2021-02-01 |
| PublicationDate_xml | – month: 02 year: 2021 text: 2021-02-01 day: 01 |
| PublicationDecade | 2020 |
| PublicationPlace | Berlin/Heidelberg |
| PublicationPlace_xml | – name: Berlin/Heidelberg – name: Heidelberg |
| PublicationTitle | Arabian journal for science and engineering (2011) |
| PublicationTitleAbbrev | Arab J Sci Eng |
| PublicationYear | 2021 |
| Publisher | Springer Berlin Heidelberg Springer Nature B.V |
| Publisher_xml | – name: Springer Berlin Heidelberg – name: Springer Nature B.V |
| References | PanIDasSFractional-order load-frequency control of interconnected powersystems using chaotic multi-objective optimizationAppl. Soft Comput.20151019 LeeDJWangLSmall-signal stability analysis of an autonomous hybrid renewable energy power generation/energy storage system part I: time-domain simulationsIEEE Trans. Energy Convers.200820131132010.1109/TEC.2007.914309 HossainMAPotaHRHossainMJBlaabjergFEvolution of microgrids with converter-interfaced generations: challenges and opportunitiesElectr. Power Energy Syst.201910916018610.1016/j.ijepes.2019.01.038 SondhiSHoteYVFractional order PID controller for load frequency controlEnergy Convers. Manag.20148534335310.1016/j.enconman.2014.05.091 ElsisiMSolimanMAboelelaMASMansourWModel predictive control of plug-in hybrid electric vehicles for frequency regulation in a smart gridIET Gener. Transm. Distrib.201711163974398310.1049/iet-gtd.2016.2120 Dulau, M.; Gligor, A.; Dulau, T.M.: Fractional order controllers versus integer order controllers. In: 10th International Conference Interdisciplinarity in Engineering, vol. 181, pp. 538–545. INTER-ENGProcedia Engineering, ScienceDirect (2017) OhSKJangHJPedryczWOptimized fuzzy PD cascade controller: a comparative analysis and designSimul. Model. Pract. Theory20111918119510.1016/j.simpat.2010.06.004 Rizk-AllahRMHassanienAEBhattacharyyaSChaotic crow search algorithm for fractional optimization problemsAppl. Soft Comput.201810.1016/j.asoc.2018.03.019 MohammadiFDKeshtkarHFeliachiAState space modeling, analysis and distributed secondary frequency control of isolated microgridsIEEE Trans. Energy Conver.20177411010.1109/TEC.2017.2757012 GuhaDRoyPKBanerjeeSOptimal tuning of 3 degree-of-freedom proportional-integral-derivative controller for hybrid distributed power system using dragonfly algorithmComput. Electr. Eng.20187213715310.1016/j.compeleceng.2018.09.003 KhoobanMHNiknamTBlaabjergFDavariPDragicevicTA robust adaptive load frequency control for micro-gridsISA Trans.201614110 BevraniHFeiziMRAtaeeSRobust frequency control in an islanded microgrid: H-∞\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\infty $$\end{document} and μ\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mu $$\end{document}-synthesis approachesIEEE Trans. Smart Grid20167270671710.1109/TSG.2015.2446984 ZhuWDuanHChaotic predator-prey biogeography-based optimization approach for UCAV path planningAerosp. Sci. Technol.20143215316110.1016/j.ast.2013.11.003 Guha, R.: Banerjee: A Maiden Application of Salp Swarm Algorithm Optimized Cascade Tilt-Integral Derivative Controller for Load Frequency Control of Power Systems, pp. 1–12. IET Generation, Transmission and Distribution (2018) KhadangaRKPadhySPandaSKumarADesign and analysis of tilt integral derivative controller for frequency control in an islanded microgrid: a novel hybrid dragonfly and pattern search algorithm approachArabian J. Sci. Eng.20181092 GheisarnejadMKhoobanMHSecondary load frequency control for multi-microgrids: HiL real-time simulationSoft Comput.201877114 DebbarmaSSaikiaLCSinhaNRobust two-degree-of-freedom controller for automatic generation control of multi-area systemElectr. Power Energy Syst.20136387888610.1016/j.ijepes.2014.06.053 MukherjeeAMukherjeeVSolution of optimal power flow using chaotic krill herd algorithmChaos Solitons Fractals2015781021339421910.1016/j.chaos.2015.06.020 SayedGIHassanienAEAzarATFeature selection via a novel chaotic crow search algorithmNeural Comput. Appl.20172911810.1162/NECO_a_00912 FarahaniMGanjefarSAlizadehMPID controller adjustment using chaotic optimisation algorithm for multi-area load frequency controlIET Control Theory Appl.201261319841992305843910.1049/iet-cta.2011.0405 Shimizu, K.; Masuta, T.; Ota, Y.; Yokoyama, A.: Load frequency control in power system using vehicle-to-grid system considering the customer convenience of electric vehicles. In: 2010 International Conference on Power System Technology, pp. 1–8 (2010) SinghVPMohantySRKishorNRayPKRobust H-infinity load frequency control in hybrid distributed generation systemElectr. Power Energy Syst.20134629430510.1016/j.ijepes.2012.10.015 MorsaliJZareKHaghMTComparative performance evaluation of fractional order controllers in LFC of two-area diverse-unit power system with considering GDB and GRC effectsJ. Electr. Syst. Inf. Technol.20175370872210.1016/j.jesit.2017.05.002 AliRMohamedTHQudaihYSMitaniYA new load frequency control approach in an isolated small power systems using coefficient diagram methodElectr. Power Energy Syst20145611011610.1016/j.ijepes.2013.11.002 PanIDasSFractional order fuzzy control of hybrid power system with renewable generation using chaotic PSOISA Trans.201662192910.1016/j.isatra.2015.03.003 RayPKMohantySRKishorNProportional integral controller based small-signal analysis of hybrid distributed generation systemsEnergy Convers. Manag.2011521943195410.1016/j.enconman.2010.11.011 AskarzadehAA novel metaheuristic method for solving constrained engineering optimization problems: crow search algorithmComput. Struct.201616911210.1016/j.compstruc.2016.03.001 Hote, Y.V.; Jain, S.: Controller design for load frequency control: past, present and future challenges. IFAC Papers Online, Science Direct 51(4), 604–609 (2018) AnnamrajuANandirajuSRobust frequency control in an autonomous microgrid: a two-stage adaptive fuzzy approachElectr. Power Compon. Syst.201810112 KohliMAroraSChaotic grey wolf optimization algorithm for constrained optimization problemsJ. Comput. Des. Eng.201710.1016/j.jcde.2017.02.005 BevraniHHabibiFBabahajyaniPWatanabeMMitaniYIntelligent frequency control in an AC microgrid: online PSO-based fuzzy tuning approachIEEE Trans. Smart Grid2012195 SahaDSaikiaLCAutomatic generation control of an interconnected CCGT-thermal system using stochastic fractal search optimized classical controllersInt. Trans. Electr. Energy Syst.201881125 PanIDasSFractional order AGC for distributed energy resources using robust optimizationIEEE Trans. Smart Grid20152810 Jamshidi, F.; Salehizadeh, M.R.; Gholami, F.; Shafie-khah, M.: An Optimal Approach for Load-Frequency Control of Islanded Microgrids Based on Nonlinear Model. In: Optimization, Learning, and Control for Interdependent Complex Networks, Advances in Intelligent Systems and Computing, vol. 1123. Springer Nature Switzerland AG 2020 (2020) FD Mohammadi (4761_CR3) 2017; 74 M Gheisarnejad (4761_CR7) 2018; 77 M Farahani (4761_CR22) 2012; 6 MH Khooban (4761_CR25) 2016; 14 DJ Lee (4761_CR27) 2008; 20 SK Oh (4761_CR32) 2011; 19 M Elsisi (4761_CR9) 2017; 11 J Morsali (4761_CR33) 2017; 5 VP Singh (4761_CR26) 2013; 46 A Askarzadeh (4761_CR34) 2016; 169 R Ali (4761_CR4) 2014; 56 I Pan (4761_CR14) 2015; 28 MA Hossain (4761_CR2) 2019; 109 W Zhu (4761_CR19) 2014; 32 S Sondhi (4761_CR13) 2014; 85 M Kohli (4761_CR21) 2017 4761_CR29 4761_CR1 I Pan (4761_CR17) 2016; 62 D Guha (4761_CR12) 2018; 72 A Mukherjee (4761_CR20) 2015; 78 RM Rizk-Allah (4761_CR24) 2018 4761_CR30 RK Khadanga (4761_CR31) 2018; 10 I Pan (4761_CR23) 2015; 10 D Saha (4761_CR6) 2018; 81 GI Sayed (4761_CR18) 2017; 29 A Annamraju (4761_CR10) 2018; 10 4761_CR16 H Bevrani (4761_CR8) 2016; 7 4761_CR15 S Debbarma (4761_CR11) 2013; 63 H Bevrani (4761_CR28) 2012; 1 PK Ray (4761_CR5) 2011; 52 |
| References_xml | – reference: AnnamrajuANandirajuSRobust frequency control in an autonomous microgrid: a two-stage adaptive fuzzy approachElectr. Power Compon. Syst.201810112 – reference: PanIDasSFractional order AGC for distributed energy resources using robust optimizationIEEE Trans. Smart Grid20152810 – reference: KhoobanMHNiknamTBlaabjergFDavariPDragicevicTA robust adaptive load frequency control for micro-gridsISA Trans.201614110 – reference: LeeDJWangLSmall-signal stability analysis of an autonomous hybrid renewable energy power generation/energy storage system part I: time-domain simulationsIEEE Trans. Energy Convers.200820131132010.1109/TEC.2007.914309 – reference: GheisarnejadMKhoobanMHSecondary load frequency control for multi-microgrids: HiL real-time simulationSoft Comput.201877114 – reference: ElsisiMSolimanMAboelelaMASMansourWModel predictive control of plug-in hybrid electric vehicles for frequency regulation in a smart gridIET Gener. Transm. Distrib.201711163974398310.1049/iet-gtd.2016.2120 – reference: SahaDSaikiaLCAutomatic generation control of an interconnected CCGT-thermal system using stochastic fractal search optimized classical controllersInt. Trans. Electr. Energy Syst.201881125 – reference: RayPKMohantySRKishorNProportional integral controller based small-signal analysis of hybrid distributed generation systemsEnergy Convers. Manag.2011521943195410.1016/j.enconman.2010.11.011 – reference: AliRMohamedTHQudaihYSMitaniYA new load frequency control approach in an isolated small power systems using coefficient diagram methodElectr. Power Energy Syst20145611011610.1016/j.ijepes.2013.11.002 – reference: MorsaliJZareKHaghMTComparative performance evaluation of fractional order controllers in LFC of two-area diverse-unit power system with considering GDB and GRC effectsJ. Electr. Syst. Inf. Technol.20175370872210.1016/j.jesit.2017.05.002 – reference: Rizk-AllahRMHassanienAEBhattacharyyaSChaotic crow search algorithm for fractional optimization problemsAppl. Soft Comput.201810.1016/j.asoc.2018.03.019 – reference: AskarzadehAA novel metaheuristic method for solving constrained engineering optimization problems: crow search algorithmComput. Struct.201616911210.1016/j.compstruc.2016.03.001 – reference: DebbarmaSSaikiaLCSinhaNRobust two-degree-of-freedom controller for automatic generation control of multi-area systemElectr. Power Energy Syst.20136387888610.1016/j.ijepes.2014.06.053 – reference: HossainMAPotaHRHossainMJBlaabjergFEvolution of microgrids with converter-interfaced generations: challenges and opportunitiesElectr. Power Energy Syst.201910916018610.1016/j.ijepes.2019.01.038 – reference: KohliMAroraSChaotic grey wolf optimization algorithm for constrained optimization problemsJ. Comput. Des. Eng.201710.1016/j.jcde.2017.02.005 – reference: SinghVPMohantySRKishorNRayPKRobust H-infinity load frequency control in hybrid distributed generation systemElectr. Power Energy Syst.20134629430510.1016/j.ijepes.2012.10.015 – reference: Shimizu, K.; Masuta, T.; Ota, Y.; Yokoyama, A.: Load frequency control in power system using vehicle-to-grid system considering the customer convenience of electric vehicles. In: 2010 International Conference on Power System Technology, pp. 1–8 (2010) – reference: OhSKJangHJPedryczWOptimized fuzzy PD cascade controller: a comparative analysis and designSimul. Model. Pract. Theory20111918119510.1016/j.simpat.2010.06.004 – reference: Guha, R.: Banerjee: A Maiden Application of Salp Swarm Algorithm Optimized Cascade Tilt-Integral Derivative Controller for Load Frequency Control of Power Systems, pp. 1–12. IET Generation, Transmission and Distribution (2018) – reference: SayedGIHassanienAEAzarATFeature selection via a novel chaotic crow search algorithmNeural Comput. Appl.20172911810.1162/NECO_a_00912 – reference: MukherjeeAMukherjeeVSolution of optimal power flow using chaotic krill herd algorithmChaos Solitons Fractals2015781021339421910.1016/j.chaos.2015.06.020 – reference: KhadangaRKPadhySPandaSKumarADesign and analysis of tilt integral derivative controller for frequency control in an islanded microgrid: a novel hybrid dragonfly and pattern search algorithm approachArabian J. Sci. Eng.20181092 – reference: Jamshidi, F.; Salehizadeh, M.R.; Gholami, F.; Shafie-khah, M.: An Optimal Approach for Load-Frequency Control of Islanded Microgrids Based on Nonlinear Model. In: Optimization, Learning, and Control for Interdependent Complex Networks, Advances in Intelligent Systems and Computing, vol. 1123. Springer Nature Switzerland AG 2020 (2020) – reference: Dulau, M.; Gligor, A.; Dulau, T.M.: Fractional order controllers versus integer order controllers. In: 10th International Conference Interdisciplinarity in Engineering, vol. 181, pp. 538–545. INTER-ENGProcedia Engineering, ScienceDirect (2017) – reference: BevraniHHabibiFBabahajyaniPWatanabeMMitaniYIntelligent frequency control in an AC microgrid: online PSO-based fuzzy tuning approachIEEE Trans. Smart Grid2012195 – reference: ZhuWDuanHChaotic predator-prey biogeography-based optimization approach for UCAV path planningAerosp. Sci. Technol.20143215316110.1016/j.ast.2013.11.003 – reference: SondhiSHoteYVFractional order PID controller for load frequency controlEnergy Convers. Manag.20148534335310.1016/j.enconman.2014.05.091 – reference: PanIDasSFractional-order load-frequency control of interconnected powersystems using chaotic multi-objective optimizationAppl. Soft Comput.20151019 – reference: FarahaniMGanjefarSAlizadehMPID controller adjustment using chaotic optimisation algorithm for multi-area load frequency controlIET Control Theory Appl.201261319841992305843910.1049/iet-cta.2011.0405 – reference: BevraniHFeiziMRAtaeeSRobust frequency control in an islanded microgrid: H-∞\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\infty $$\end{document} and μ\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mu $$\end{document}-synthesis approachesIEEE Trans. Smart Grid20167270671710.1109/TSG.2015.2446984 – reference: PanIDasSFractional order fuzzy control of hybrid power system with renewable generation using chaotic PSOISA Trans.201662192910.1016/j.isatra.2015.03.003 – reference: Hote, Y.V.; Jain, S.: Controller design for load frequency control: past, present and future challenges. IFAC Papers Online, Science Direct 51(4), 604–609 (2018) – reference: GuhaDRoyPKBanerjeeSOptimal tuning of 3 degree-of-freedom proportional-integral-derivative controller for hybrid distributed power system using dragonfly algorithmComput. Electr. Eng.20187213715310.1016/j.compeleceng.2018.09.003 – reference: MohammadiFDKeshtkarHFeliachiAState space modeling, analysis and distributed secondary frequency control of isolated microgridsIEEE Trans. Energy Conver.20177411010.1109/TEC.2017.2757012 – year: 2017 ident: 4761_CR21 publication-title: J. Comput. Des. Eng. doi: 10.1016/j.jcde.2017.02.005 – volume: 169 start-page: 1 year: 2016 ident: 4761_CR34 publication-title: Comput. Struct. doi: 10.1016/j.compstruc.2016.03.001 – volume: 74 start-page: 1 year: 2017 ident: 4761_CR3 publication-title: IEEE Trans. Energy Conver. doi: 10.1109/TEC.2017.2757012 – volume: 20 start-page: 311 issue: 1 year: 2008 ident: 4761_CR27 publication-title: IEEE Trans. Energy Convers. doi: 10.1109/TEC.2007.914309 – volume: 56 start-page: 110 year: 2014 ident: 4761_CR4 publication-title: Electr. Power Energy Syst doi: 10.1016/j.ijepes.2013.11.002 – ident: 4761_CR16 doi: 10.1109/NPSC.2018.8771738 – volume: 77 start-page: 1 year: 2018 ident: 4761_CR7 publication-title: Soft Comput. – volume: 6 start-page: 1984 issue: 13 year: 2012 ident: 4761_CR22 publication-title: IET Control Theory Appl. doi: 10.1049/iet-cta.2011.0405 – ident: 4761_CR29 doi: 10.1007/978-3-030-34094-0_11 – volume: 109 start-page: 160 year: 2019 ident: 4761_CR2 publication-title: Electr. Power Energy Syst. doi: 10.1016/j.ijepes.2019.01.038 – volume: 46 start-page: 294 year: 2013 ident: 4761_CR26 publication-title: Electr. Power Energy Syst. doi: 10.1016/j.ijepes.2012.10.015 – volume: 72 start-page: 137 year: 2018 ident: 4761_CR12 publication-title: Comput. Electr. Eng. doi: 10.1016/j.compeleceng.2018.09.003 – volume: 81 start-page: 1 year: 2018 ident: 4761_CR6 publication-title: Int. Trans. Electr. Energy Syst. – ident: 4761_CR30 doi: 10.1109/POWERCON.2010.5666064 – ident: 4761_CR1 doi: 10.1016/j.ifacol.2018.06.162 – volume: 62 start-page: 19 year: 2016 ident: 4761_CR17 publication-title: ISA Trans. doi: 10.1016/j.isatra.2015.03.003 – volume: 10 start-page: 1 year: 2018 ident: 4761_CR10 publication-title: Electr. Power Compon. Syst. – volume: 29 start-page: 1 year: 2017 ident: 4761_CR18 publication-title: Neural Comput. Appl. doi: 10.1162/NECO_a_00912 – volume: 85 start-page: 343 year: 2014 ident: 4761_CR13 publication-title: Energy Convers. Manag. doi: 10.1016/j.enconman.2014.05.091 – volume: 10 start-page: 19 year: 2015 ident: 4761_CR23 publication-title: Appl. Soft Comput. – volume: 11 start-page: 3974 issue: 16 year: 2017 ident: 4761_CR9 publication-title: IET Gener. Transm. Distrib. doi: 10.1049/iet-gtd.2016.2120 – volume: 28 start-page: 10 year: 2015 ident: 4761_CR14 publication-title: IEEE Trans. Smart Grid – volume: 5 start-page: 708 issue: 3 year: 2017 ident: 4761_CR33 publication-title: J. Electr. Syst. Inf. Technol. doi: 10.1016/j.jesit.2017.05.002 – volume: 32 start-page: 153 year: 2014 ident: 4761_CR19 publication-title: Aerosp. Sci. Technol. doi: 10.1016/j.ast.2013.11.003 – volume: 10 start-page: 92 year: 2018 ident: 4761_CR31 publication-title: Arabian J. Sci. Eng. – volume: 14 start-page: 1 year: 2016 ident: 4761_CR25 publication-title: ISA Trans. – volume: 63 start-page: 878 year: 2013 ident: 4761_CR11 publication-title: Electr. Power Energy Syst. doi: 10.1016/j.ijepes.2014.06.053 – volume: 19 start-page: 181 year: 2011 ident: 4761_CR32 publication-title: Simul. Model. Pract. Theory doi: 10.1016/j.simpat.2010.06.004 – volume-title: Appl. Soft Comput. year: 2018 ident: 4761_CR24 doi: 10.1016/j.asoc.2018.03.019 – volume: 78 start-page: 10 year: 2015 ident: 4761_CR20 publication-title: Chaos Solitons Fractals doi: 10.1016/j.chaos.2015.06.020 – volume: 52 start-page: 1943 year: 2011 ident: 4761_CR5 publication-title: Energy Convers. Manag. doi: 10.1016/j.enconman.2010.11.011 – ident: 4761_CR15 doi: 10.1016/j.proeng.2017.02.431 – volume: 7 start-page: 706 issue: 2 year: 2016 ident: 4761_CR8 publication-title: IEEE Trans. Smart Grid doi: 10.1109/TSG.2015.2446984 – volume: 1 start-page: 95 year: 2012 ident: 4761_CR28 publication-title: IEEE Trans. Smart Grid |
| SSID | ssib048395113 ssj0001916267 ssj0061873 |
| Score | 2.3935118 |
| Snippet | Uncertainties related to the power output from the renewable energy sources and low inertia of a standalone microgrid (SMG) demand a robust control strategy... |
| SourceID | proquest crossref springer |
| SourceType | Aggregation Database Enrichment Source Index Database Publisher |
| StartPage | 1053 |
| SubjectTerms | Controllers Distributed generation Eigenvalues Engineering Frequency analysis Frequency control Frequency deviation Fuzzy control Humanities and Social Sciences Integrals multidisciplinary Proportional derivative Renewable energy sources Research Article-Electrical Engineering Robust control Root locus Science Search algorithms Stability analysis Subsystems |
| Title | A Novel Hybrid Fuzzy PD-TID Controller for Load Frequency Control of a Standalone Microgrid |
| URI | https://link.springer.com/article/10.1007/s13369-020-04761-7 https://www.proquest.com/docview/2484277949 |
| Volume | 46 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVEBS databaseName: EBSCOhost Academic Search Ultimate customDbUrl: https://search.ebscohost.com/login.aspx?authtype=ip,shib&custid=s3936755&profile=ehost&defaultdb=asn eissn: 2191-4281 dateEnd: 20241105 omitProxy: true ssIdentifier: ssj0001916267 issn: 2193-567X databaseCode: ABDBF dateStart: 20041001 isFulltext: true titleUrlDefault: https://search.ebscohost.com/direct.asp?db=asn providerName: EBSCOhost – providerCode: PRVFQY databaseName: GFMER Free Medical Journals customDbUrl: eissn: 2191-4281 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0061873 issn: 2193-567X databaseCode: GX1 dateStart: 20020101 isFulltext: true titleUrlDefault: http://www.gfmer.ch/Medical_journals/Free_medical.php providerName: Geneva Foundation for Medical Education and Research – providerCode: PRVLSH databaseName: SpringerLink Journals customDbUrl: mediaType: online eissn: 2191-4281 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001916267 issn: 2193-567X databaseCode: AFBBN dateStart: 20110101 isFulltext: true providerName: Library Specific Holdings – providerCode: PRVAVX databaseName: SpringerLINK - Czech Republic Consortium customDbUrl: eissn: 2191-4281 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0061873 issn: 2193-567X databaseCode: AGYKE dateStart: 20110101 isFulltext: true titleUrlDefault: http://link.springer.com providerName: Springer Nature – providerCode: PRVAVX databaseName: SpringerLink Journals (ICM) customDbUrl: eissn: 2191-4281 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0061873 issn: 2193-567X databaseCode: U2A dateStart: 20110101 isFulltext: true titleUrlDefault: http://www.springerlink.com/journals/ providerName: Springer Nature |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1bb9MwFLa67gUeEFdRGJMfeAupEjuxk8eUUgpj1aR1UiUeIufipaJaUGgntT-K38hxnNuqFTFeosh23Tbn87nlXBB6HylDNvKESXjMTcdzYtNnqQqbipiwHJG4Zee58xmbXjlfF-6i1_vdiVrarKNhvLs3r-R_qApjQFeVJfsAyjabwgDcA33hChSG6z_RODBm-W26MqZblXdlTDa73da4GJvzL2OVyqdi0FdpUUYSfssFLCh04PS2ntXZkZelO2GVg755ruLzrovlnfadQSFUZfKmyoTar04HUn73tK1pqBRWJew7DoazLP-R6TDuUba5BdbaeKDHIltuhQ4OKsqedu0braIK_T4bGhdD4xL2zroeCmLXQc17HkrjUAEv4HXAN6npMr7QYqkeA_OW6I4uNbOu_JXLjs2sOS_oibQjxcHSde-VEFaVMU0p801lO1sOZ7bJW3nYRCm2FZ3V4hAWh-XikB-hYwJSxOqj42AyGs1qDuaAugkaLG29fKB9k7KNcfMPq8wtnb-5_yvuaketybP3lr5UfuZP0ZPKasGBhuAz1EtvnqPHnVqWL9D3AJdgxBqMuAQj1mDELRgxgAcrMOIGjPUsziUWuAUjbsD4El1NPs0_Ts2qc4cZA0tfmzThJPIdeEaJKjAIt3DoLcFkRIn0aey63E6YFTncl5JwT8bEE7GqSSsks5KYvkL9G_ii1wh7oJNatpUyST1QPqUXSSqo8CVlUnCfDJBdP7Ewrsraq-4qq_Aw-QbIaD7zUxd1-evqk5oQYXXQfoUE2BrhIMz8AfpQE6edPrzbm4ctf4setUfqBPXXxSZ9B2rwOjqtsHeKjj4v7D9ly6hO |
| linkProvider | Library Specific Holdings |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=A+Novel+Hybrid+Fuzzy+PD-TID+Controller+for+Load+Frequency+Control+of+a+Standalone+Microgrid&rft.jtitle=Arabian+journal+for+science+and+engineering+%282011%29&rft.au=Khokhar%2C+Bhuvnesh&rft.au=Dahiya%2C+Surender&rft.au=Parmar%2C+K.+P.+Singh&rft.date=2021-02-01&rft.pub=Springer+Berlin+Heidelberg&rft.issn=2193-567X&rft.eissn=2191-4281&rft.volume=46&rft.issue=2&rft.spage=1053&rft.epage=1065&rft_id=info:doi/10.1007%2Fs13369-020-04761-7&rft.externalDocID=10_1007_s13369_020_04761_7 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2193-567X&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2193-567X&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2193-567X&client=summon |