{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,24]],"date-time":"2026-02-24T19:29:52Z","timestamp":1771961392630,"version":"3.50.1"},"reference-count":52,"publisher":"Springer Science and Business Media LLC","issue":"23","license":[{"start":{"date-parts":[[2025,7,5]],"date-time":"2025-07-05T00:00:00Z","timestamp":1751673600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,7,5]],"date-time":"2025-07-05T00:00:00Z","timestamp":1751673600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2025,8]]},"DOI":"10.1007\/s00521-025-11404-1","type":"journal-article","created":{"date-parts":[[2025,7,4]],"date-time":"2025-07-04T19:50:16Z","timestamp":1751658616000},"page":"19371-19392","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Torque ripple minimization and maximum power point tracking of wind turbine doubly fed induction generator based on bonobo optimization algorithm"],"prefix":"10.1007","volume":"37","author":[{"given":"M. Abdelateef","family":"Mostafa","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Enas A.","family":"El-Hay","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mahmoud M.","family":"ELkholy","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,7,5]]},"reference":[{"key":"11404_CR1","doi-asserted-by":"publisher","first-page":"110455","DOI":"10.1016\/j.rser.2020.110455","volume":"137","author":"PHA Barra","year":"2021","unstructured":"Barra PHA, de Carvalho WC, Menezes TS, Fernandes RAS, Coury DV (2021) A review on wind power smoothing using high-power energy storage systems. Renew Sustain Energy Rev 137:110455. https:\/\/doi.org\/10.1016\/j.rser.2020.110455","journal-title":"Renew Sustain Energy Rev"},{"key":"11404_CR2","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1177\/0309524X211000718","volume":"46","author":"PP Pradhan","year":"2022","unstructured":"Pradhan PP, Subudhi B (2022) An ARMAX-DFIG model based adaptive controller for a wind energy conversion system. Wind Eng 46:12\u201322. https:\/\/doi.org\/10.1177\/0309524X211000718","journal-title":"Wind Eng"},{"key":"11404_CR3","doi-asserted-by":"publisher","first-page":"223","DOI":"10.1177\/0958305X21995929","volume":"33","author":"S Sahu","year":"2022","unstructured":"Sahu S, Behera S (2022) A review on modern control applications in wind energy conversion system. Energy Environ 33:223\u2013262. https:\/\/doi.org\/10.1177\/0958305X21995929","journal-title":"Energy Environ"},{"key":"11404_CR4","doi-asserted-by":"publisher","first-page":"113521","DOI":"10.1016\/j.rser.2023.113521","volume":"183","author":"MA Mostafa","year":"2023","unstructured":"Mostafa MA, El-Hay EA, Elkholy MM (2023) An overview and case study of recent low voltage ride through methods for wind energy conversion system. Renew Sustain Energy Rev 183:113521. https:\/\/doi.org\/10.1016\/j.rser.2023.113521","journal-title":"Renew Sustain Energy Rev"},{"key":"11404_CR5","doi-asserted-by":"publisher","first-page":"3487","DOI":"10.1049\/iet-rpg.2019.1128","volume":"14","author":"MK Senapati","year":"2020","unstructured":"Senapati MK, Pradhan C, Nayak PK, Padmanaban S, Gjengedal T (2020) Modified demagnetisation control strategy for low-voltage ride-through enhancement in DFIG-based wind systems. IET Renew Power Gener 14:3487\u20133499. https:\/\/doi.org\/10.1049\/iet-rpg.2019.1128","journal-title":"IET Renew Power Gener"},{"key":"11404_CR6","doi-asserted-by":"publisher","first-page":"101961","DOI":"10.1016\/j.seta.2022.101961","volume":"51","author":"S Gupta","year":"2022","unstructured":"Gupta S, Shukla A (2022) Improved dynamic modelling of DFIG driven wind turbine with algorithm for optimal sharing of reactive power between converters. Sustain Energy Technol Assess 51:101961. https:\/\/doi.org\/10.1016\/j.seta.2022.101961","journal-title":"Sustain Energy Technol Assess"},{"key":"11404_CR7","doi-asserted-by":"publisher","first-page":"4890","DOI":"10.1049\/joe.2018.9348","volume":"2019","author":"C Sompracha","year":"2019","unstructured":"Sompracha C, Jayaweera D, Tricoli P (2019) Particle swarm optimisation technique to improve energy efficiency of doubly-fed induction generators for wind turbines. J Eng 2019:4890\u20134895. https:\/\/doi.org\/10.1049\/joe.2018.9348","journal-title":"J Eng"},{"key":"11404_CR8","doi-asserted-by":"publisher","DOI":"10.15866\/iremos.v9i6.10309","author":"MM Elkholy","year":"2016","unstructured":"Elkholy MM, Metwally H, Regal GM, Sadek MA (2016) Efficient operation of wind turbine with doubly fed induction generator using TLBO algorithm and artificial neural networks. Int Rev Model Simul (IREMOS). https:\/\/doi.org\/10.15866\/iremos.v9i6.10309","journal-title":"Int Rev Model Simul (IREMOS)"},{"key":"11404_CR9","doi-asserted-by":"publisher","first-page":"132","DOI":"10.1504\/ijret.2017.086810","volume":"8","author":"MM ElKholy","year":"2017","unstructured":"ElKholy MM, Metwally H, Regal GM, Sadek MA (2017) Optimal active and reactive power control of wind turbine driven DFIG using TLBO algorithm and artificial neural networks. Int J Renew Energy Technol 8:132\u2013153. https:\/\/doi.org\/10.1504\/ijret.2017.086810","journal-title":"Int J Renew Energy Technol"},{"key":"11404_CR10","doi-asserted-by":"publisher","first-page":"671","DOI":"10.1177\/0309524x221150443","volume":"47","author":"MA Mostafa","year":"2023","unstructured":"Mostafa MA, El-Hay EA, ELkholy MM (2023) Optimal maximum power point tracking of wind turbine doubly fed induction generator based on driving training algorithm. Wind Eng 47:671\u2013687. https:\/\/doi.org\/10.1177\/0309524x221150443","journal-title":"Wind Eng"},{"key":"11404_CR11","doi-asserted-by":"publisher","first-page":"1786","DOI":"10.20508\/ijrer.v7i4.6264.g7219","volume":"7","author":"D Jha","year":"2017","unstructured":"Jha D (2017) A comprehensive review on wind energy systems for electric power generation: current situation and improved technologies to realize future development. Int J Renew Energy Res (IJRER) 7:1786\u20131805. https:\/\/doi.org\/10.20508\/ijrer.v7i4.6264.g7219","journal-title":"Int J Renew Energy Res (IJRER)"},{"key":"11404_CR12","doi-asserted-by":"publisher","first-page":"107424","DOI":"10.1016\/j.ijepes.2021.107424","volume":"135","author":"J Wang","year":"2022","unstructured":"Wang J, Bo D (2022) Adaptive fixed-time sensorless maximum power point tracking control scheme for DFIG wind energy conversion system. Int J Electr Power Energy Syst 135:107424. https:\/\/doi.org\/10.1016\/j.ijepes.2021.107424","journal-title":"Int J Electr Power Energy Syst"},{"key":"11404_CR13","doi-asserted-by":"publisher","first-page":"740","DOI":"10.1109\/JPROC.2014.2378692","volume":"103","author":"V Yaramasu","year":"2015","unstructured":"Yaramasu V, Wu B, Sen PC, Kouro S, Narimani M (2015) High-power wind energy conversion systems: state-of-the-art and emerging technologies. Proc IEEE 103:740\u2013788. https:\/\/doi.org\/10.1109\/JPROC.2014.2378692","journal-title":"Proc IEEE"},{"key":"11404_CR14","doi-asserted-by":"publisher","first-page":"1581","DOI":"10.1049\/iet-rpg.2018.5197","volume":"12","author":"S Chatterjee","year":"2018","unstructured":"Chatterjee S, Chatterjee S (2018) Review on the techno-commercial aspects of wind energy conversion system. IET Renew Power Gener 12:1581\u20131608. https:\/\/doi.org\/10.1049\/iet-rpg.2018.5197","journal-title":"IET Renew Power Gener"},{"key":"11404_CR15","doi-asserted-by":"publisher","first-page":"144","DOI":"10.1109\/TPWRS.2002.807113","volume":"18","author":"JG Slootweg","year":"2003","unstructured":"Slootweg JG, de Haan SWH, Polinder H, Kling WL (2003) General model for representing variable speed wind turbines in power system dynamics simulations. IEEE Trans Power Syst 18:144\u2013151. https:\/\/doi.org\/10.1109\/TPWRS.2002.807113","journal-title":"IEEE Trans Power Syst"},{"key":"11404_CR16","doi-asserted-by":"publisher","first-page":"105153","DOI":"10.1109\/ACCESS.2021.3098187","volume":"9","author":"NMS Hannoon","year":"2021","unstructured":"Hannoon NMS, Ananth DVN, Hidayat MNB, Chowdary PSR, Chakravarthy VVSSS, Sivashankar K et al (2021) A common capacitor based three level STATCOM and design of DFIG converter for a zero-voltage fault ride-through capability. IEEE Access 9:105153\u2013105179. https:\/\/doi.org\/10.1109\/ACCESS.2021.3098187","journal-title":"IEEE Access"},{"key":"11404_CR17","doi-asserted-by":"publisher","first-page":"1864","DOI":"10.1049\/rpg2.12114","volume":"15","author":"H Chen","year":"2021","unstructured":"Chen H, Zuo Y, Chau KT, Zhao W, Lee CHT (2021) Modern electric machines and drives for wind power generation: a review of opportunities and challenges. IET Renew Power Gener 15:1864\u20131887. https:\/\/doi.org\/10.1049\/rpg2.12114","journal-title":"IET Renew Power Gener"},{"key":"11404_CR18","doi-asserted-by":"publisher","first-page":"171525","DOI":"10.1109\/ACCESS.2019.2955803","volume":"7","author":"R Liu","year":"2019","unstructured":"Liu R, Yang E, Chen J, Niu S (2019) Novel bearing current suppression approach in doubly-fed induction generators. IEEE Access 7:171525\u2013171532. https:\/\/doi.org\/10.1109\/ACCESS.2019.2955803","journal-title":"IEEE Access"},{"key":"11404_CR19","doi-asserted-by":"publisher","first-page":"260","DOI":"10.1016\/j.rser.2015.12.048","volume":"57","author":"OP Mahela","year":"2016","unstructured":"Mahela OP, Shaik AG (2016) Comprehensive overview of grid interfaced wind energy generation systems. Renew Sustain Energy Rev 57:260\u2013281. https:\/\/doi.org\/10.1016\/j.rser.2015.12.048","journal-title":"Renew Sustain Energy Rev"},{"key":"11404_CR20","doi-asserted-by":"publisher","first-page":"3378","DOI":"10.1049\/iet-gtd.2019.0206","volume":"13","author":"KE Okedu","year":"2019","unstructured":"Okedu KE (2019) Enhancing the performance of DFIG variable speed wind turbine using a parallel integrated capacitor and modified modulated braking resistor. IET Gener Transm Distrib 13:3378\u20133387. https:\/\/doi.org\/10.1049\/iet-gtd.2019.0206","journal-title":"IET Gener Transm Distrib"},{"key":"11404_CR21","doi-asserted-by":"publisher","first-page":"332","DOI":"10.1016\/j.enconman.2014.08.037","volume":"88","author":"M Cheng","year":"2014","unstructured":"Cheng M, Zhu Y (2014) The state of the art of wind energy conversion systems and technologies: a review. Energy Convers Manag 88:332\u2013347. https:\/\/doi.org\/10.1016\/j.enconman.2014.08.037","journal-title":"Energy Convers Manag"},{"key":"11404_CR22","doi-asserted-by":"publisher","first-page":"489","DOI":"10.1016\/j.renene.2018.01.052","volume":"121","author":"A Giannakis","year":"2018","unstructured":"Giannakis A, Karlis A, Karnavas YL (2018) A combined control strategy of a DFIG based on a sensorless power control through modified phase-locked loop and fuzzy logic controllers. Renew Energy 121:489\u2013501. https:\/\/doi.org\/10.1016\/j.renene.2018.01.052","journal-title":"Renew Energy"},{"key":"11404_CR23","doi-asserted-by":"publisher","first-page":"1155","DOI":"10.1049\/iet-rpg.2017.0313","volume":"12","author":"A Merabet","year":"2018","unstructured":"Merabet A, Eshaft H, Tanvir AA (2018) Power-current controller based sliding mode control for DFIG-wind energy conversion system. IET Renew Power Gener 12:1155\u20131163. https:\/\/doi.org\/10.1049\/iet-rpg.2017.0313","journal-title":"IET Renew Power Gener"},{"key":"11404_CR24","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1049\/iet-gtd.2018.5172","volume":"13","author":"J Hu","year":"2019","unstructured":"Hu J, Li Y, Zhu J (2019) Multi-objective model predictive control of doubly-fed induction generators for wind energy conversion. IET Gener Transm Distrib 13:21\u201329. https:\/\/doi.org\/10.1049\/iet-gtd.2018.5172","journal-title":"IET Gener Transm Distrib"},{"key":"11404_CR25","doi-asserted-by":"publisher","first-page":"1439","DOI":"10.1007\/s11831-022-09842-4","volume":"30","author":"M Abdelateef Mostafa","year":"2023","unstructured":"Abdelateef Mostafa M, El-Hay EA, Elkholy MM (2023) Recent trends in wind energy conversion system with grid integration based on soft computing methods: comprehensive review, comparisons and insights. Arch Comput Methods Eng 30:1439\u20131478. https:\/\/doi.org\/10.1007\/s11831-022-09842-4","journal-title":"Arch Comput Methods Eng"},{"key":"11404_CR26","doi-asserted-by":"publisher","DOI":"10.1109\/ISGT-Asia.2012.6303305","author":"P Zhan","year":"2012","unstructured":"Zhan P, Lin W, Wen J, Yao M, Li N (2012) Design of LCL filters for the back-to-back converter in a Doubly Fed Induction Generator. IEEE PES Innov Smart Grid Technol. https:\/\/doi.org\/10.1109\/ISGT-Asia.2012.6303305","journal-title":"IEEE PES Innov Smart Grid Technol"},{"key":"11404_CR27","doi-asserted-by":"publisher","unstructured":"Hacil M, Nemmour AL, Khezzar A and Boucherma M (2008) Improvement generating powers quality of a doubly-fed induction generator with a second-order LC filter in the rotor circuit. In: 2008 18th international conference on electrical machines, pp. 1\u20136. https:\/\/doi.org\/10.1109\/ICELMACH.2008.4800252","DOI":"10.1109\/ICELMACH.2008.4800252"},{"key":"11404_CR28","doi-asserted-by":"publisher","first-page":"1938","DOI":"10.1049\/iet-rpg.2018.6030","volume":"13","author":"AG Abo-Khalil","year":"2019","unstructured":"Abo-Khalil AG, Alghamdi A, Tlili I, Eltamaly AM (2019) Current controller design for DFIG-based wind turbines using state feedback control. IET Renew Power Gener 13:1938\u20131948. https:\/\/doi.org\/10.1049\/iet-rpg.2018.6030","journal-title":"IET Renew Power Gener"},{"key":"11404_CR29","doi-asserted-by":"publisher","first-page":"2435","DOI":"10.1049\/iet-rpg.2019.0066","volume":"13","author":"H Moradi","year":"2019","unstructured":"Moradi H, Alinejad-Beromi Y, Yaghobi H, Bustan D (2019) Sliding mode type-2 neuro-fuzzy power control of grid-connected DFIG for wind energy conversion system. IET Renew Power Gener 13:2435\u20132442. https:\/\/doi.org\/10.1049\/iet-rpg.2019.0066","journal-title":"IET Renew Power Gener"},{"key":"11404_CR30","doi-asserted-by":"publisher","first-page":"943","DOI":"10.1049\/iet-rpg.2017.0539","volume":"12","author":"J Mohammadi","year":"2018","unstructured":"Mohammadi J, Vaez-Zadeh S, Ebrahimzadeh E, Blaabjerg F (2018) Combined control method for grid-side converter of doubly fed induction generator-based wind energy conversion systems. IET Renew Power Gener 12:943\u2013952. https:\/\/doi.org\/10.1049\/iet-rpg.2017.0539","journal-title":"IET Renew Power Gener"},{"key":"11404_CR31","doi-asserted-by":"publisher","first-page":"1850","DOI":"10.1049\/iet-rpg.2020.0172","volume":"14","author":"H Bakir","year":"2020","unstructured":"Bakir H, Merabet A, Dhar RK, Kulaksiz AA (2020) Bacteria foraging optimisation algorithm based optimal control for doubly-fed induction generator wind energy system. IET Renew Power Gener 14:1850\u20131859. https:\/\/doi.org\/10.1049\/iet-rpg.2020.0172","journal-title":"IET Renew Power Gener"},{"key":"11404_CR32","doi-asserted-by":"publisher","DOI":"10.1002\/9781118104965","volume-title":"Doubly fed induction machine: modeling and control for wind energy generation","author":"G Abad","year":"2011","unstructured":"Abad G, Lopez J, Rodriguez M, Marroyo L, Iwanski G (2011) Doubly fed induction machine: modeling and control for wind energy generation. John Wiley & Sons, Hoboken"},{"key":"11404_CR33","doi-asserted-by":"publisher","first-page":"674","DOI":"10.1002\/tee.22146","volume":"10","author":"I Setiawan","year":"2015","unstructured":"Setiawan I, Priyadi A, Miyauchi H, Purnomo MH (2015) Adaptive B-spline neural network-based vector control for a grid side converter in wind turbine-DFIG systems. IEEJ Trans Electr Electron Eng 10:674\u2013682. https:\/\/doi.org\/10.1002\/tee.22146","journal-title":"IEEJ Trans Electr Electron Eng"},{"key":"11404_CR34","doi-asserted-by":"publisher","first-page":"e13157","DOI":"10.1002\/2050-7038.13157","volume":"31","author":"A Memon","year":"2021","unstructured":"Memon A, Mustafa MWB, Jumani TA, Olatunji Obalowu M, Malik N-u-R (2021) Salp swarm algorithm\u2013based optimal vector control scheme for dynamic response enhancement of brushless double-fed induction generator in a wind energy conversion system. Int Trans Electr Energy Syst 31:e13157. https:\/\/doi.org\/10.1002\/2050-7038.13157","journal-title":"Int Trans Electr Energy Syst"},{"key":"11404_CR35","doi-asserted-by":"publisher","first-page":"2559","DOI":"10.1007\/s00500-020-05276-x","volume":"25","author":"G Manohar","year":"2021","unstructured":"Manohar G, Venkateshwarlu S, Jaya Laxmi A (2021) A DFIG-based wind energy conversion system (WECS) for LVRT enhancement using a hybrid approach: an efficient MEHRFA technique. Soft Comput 25:2559\u20132574. https:\/\/doi.org\/10.1007\/s00500-020-05276-x","journal-title":"Soft Comput"},{"key":"11404_CR36","doi-asserted-by":"publisher","first-page":"890","DOI":"10.1016\/j.jestch.2020.12.024","volume":"24","author":"H Bakir","year":"2021","unstructured":"Bakir H, Merabet A, Dhar RK, Kulaksiz AA (2021) Experimental evaluation of water cycle technique for control parameters optimization of double-fed induction generator-based wind turbine. Eng Sci Technol Int J 24:890\u2013898. https:\/\/doi.org\/10.1016\/j.jestch.2020.12.024","journal-title":"Eng Sci Technol Int J"},{"key":"11404_CR37","doi-asserted-by":"publisher","first-page":"107813","DOI":"10.1016\/j.asoc.2021.107813","volume":"112","author":"K Han","year":"2021","unstructured":"Han K, Huang T, Yin L (2021) Quantum parallel multi-layer Monte Carlo optimization algorithm for controller parameters optimization of doubly-fed induction generator-based wind turbines. Appl Soft Comput 112:107813. https:\/\/doi.org\/10.1016\/j.asoc.2021.107813","journal-title":"Appl Soft Comput"},{"key":"11404_CR38","doi-asserted-by":"publisher","first-page":"139074","DOI":"10.1109\/ACCESS.2021.3119019","volume":"9","author":"H Shutari","year":"2021","unstructured":"Shutari H, Saad N, Nor NBM, Tajuddin MFN, Alqushaibi A, Magzoub MA (2021) Towards enhancing the performance of grid-tied VSWT via adopting sine cosine algorithm-based optimal control scheme. IEEE Access 9:139074\u2013139088. https:\/\/doi.org\/10.1109\/ACCESS.2021.3119019","journal-title":"IEEE Access"},{"key":"11404_CR39","doi-asserted-by":"publisher","first-page":"7778","DOI":"10.1038\/s41598-023-34240-6","volume":"13","author":"MA Mostafa","year":"2023","unstructured":"Mostafa MA, El-Hay EA, Elkholy MM (2023) Optimal low voltage ride through of wind turbine doubly fed induction generator based on bonobo optimization algorithm. Sci Rep 13:7778. https:\/\/doi.org\/10.1038\/s41598-023-34240-6","journal-title":"Sci Rep"},{"key":"11404_CR40","doi-asserted-by":"publisher","first-page":"214","DOI":"10.1016\/j.rser.2015.03.066","volume":"48","author":"S Behera","year":"2015","unstructured":"Behera S, Sahoo S, Pati BB (2015) A review on optimization algorithms and application to wind energy integration to grid. Renew Sustain Energy Rev 48:214\u2013227. https:\/\/doi.org\/10.1016\/j.rser.2015.03.066","journal-title":"Renew Sustain Energy Rev"},{"key":"11404_CR41","doi-asserted-by":"publisher","first-page":"106347","DOI":"10.1016\/j.ijepes.2020.106347","volume":"124","author":"J Wang","year":"2021","unstructured":"Wang J, Bo D, Miao Q, Li Z, Wu X, Lv D (2021) Maximum power point tracking control for a doubly fed induction generator wind energy conversion system based on multivariable adaptive super-twisting approach. Int J Electr Power Energy Syst 124:106347. https:\/\/doi.org\/10.1016\/j.ijepes.2020.106347","journal-title":"Int J Electr Power Energy Syst"},{"key":"11404_CR42","doi-asserted-by":"publisher","first-page":"26512","DOI":"10.1109\/ACCESS.2021.3057123","volume":"9","author":"B Bossoufi","year":"2021","unstructured":"Bossoufi B, Karim M, Taoussi M, Aroussi HA, Bouderbala M, Deblecker O et al (2021) Rooted tree optimization for the backstepping power control of a doubly fed induction generator wind turbine: dSPACE implementation. IEEE Access 9:26512\u201326522. https:\/\/doi.org\/10.1109\/ACCESS.2021.3057123","journal-title":"IEEE Access"},{"key":"11404_CR43","doi-asserted-by":"publisher","unstructured":"Tian J, Su C and Chen Z (2013) Reactive power capability of the wind turbine with doubly fed induction generator. In: IECON 2013\u201439th annual conference of the IEEE industrial electronics society, pp. 5312\u20135317. https:\/\/doi.org\/10.1109\/IECON.2013.6699999","DOI":"10.1109\/IECON.2013.6699999"},{"key":"11404_CR44","doi-asserted-by":"publisher","first-page":"414","DOI":"10.1109\/TEC.2006.875473","volume":"22","author":"C Eisenhut","year":"2007","unstructured":"Eisenhut C, Krug F, Schram C, Klockl B (2007) Wind-turbine model for system simulations near cut-in wind speed. IEEE Trans Energy Convers 22:414\u2013420. https:\/\/doi.org\/10.1109\/TEC.2006.875473","journal-title":"IEEE Trans Energy Convers"},{"key":"11404_CR45","doi-asserted-by":"publisher","first-page":"214538","DOI":"10.1109\/ACCESS.2020.3039048","volume":"8","author":"P Chen","year":"2020","unstructured":"Chen P, Han D, Li KC (2020) Robust adaptive control of maximum power point tracking for wind power system. IEEE Access 8:214538\u2013214550. https:\/\/doi.org\/10.1109\/ACCESS.2020.3039048","journal-title":"IEEE Access"},{"key":"11404_CR46","doi-asserted-by":"publisher","first-page":"875","DOI":"10.1016\/j.renene.2020.03.050","volume":"154","author":"A-R Youssef","year":"2020","unstructured":"Youssef A-R, Mousa HHH, Mohamed EEM (2020) Development of self-adaptive P&O MPPT algorithm for wind generation systems with concentrated search area. Renew Energy 154:875\u2013893. https:\/\/doi.org\/10.1016\/j.renene.2020.03.050","journal-title":"Renew Energy"},{"key":"11404_CR47","doi-asserted-by":"publisher","first-page":"904","DOI":"10.1016\/j.renene.2021.06.106","volume":"178","author":"JG Gonz\u00e1lez-Hern\u00e1ndez","year":"2021","unstructured":"Gonz\u00e1lez-Hern\u00e1ndez JG, Salas-Cabrera R, V\u00e1zquez-Bautista R, Ong-de-la-Cruz LM, Rodr\u00edguez-Guill\u00e9n J (2021) A novel MPPT PI discrete reverse-acting controller for a wind energy conversion system. Renew Energy 178:904\u2013915. https:\/\/doi.org\/10.1016\/j.renene.2021.06.106","journal-title":"Renew Energy"},{"key":"11404_CR48","doi-asserted-by":"publisher","first-page":"50","DOI":"10.1016\/j.epsr.2013.10.021","volume":"108","author":"M Zamanifar","year":"2014","unstructured":"Zamanifar M, Fani B, Golshan MEH, Karshenas HR (2014) Dynamic modeling and optimal control of DFIG wind energy systems using DFT and NSGA-II. Electr Power Syst Res 108:50\u201358. https:\/\/doi.org\/10.1016\/j.epsr.2013.10.021","journal-title":"Electr Power Syst Res"},{"key":"11404_CR49","doi-asserted-by":"publisher","unstructured":"Abad G and Iwanski G (2014) Properties and control of a doubly fed induction machine. In: Power electronics for renewable energy systems, transportation and industrial applications, ed., pp. 270\u2013318. https:\/\/doi.org\/10.1002\/9781118755525.ch10","DOI":"10.1002\/9781118755525.ch10"},{"key":"11404_CR50","doi-asserted-by":"publisher","first-page":"2942","DOI":"10.1007\/s10489-021-02444-w","volume":"52","author":"AK Das","year":"2022","unstructured":"Das AK, Pratihar DK (2022) Bonobo optimizer (BO): an intelligent heuristic with self-adjusting parameters over continuous spaces and its applications to engineering problems. Appl Intell 52:2942\u20132974. https:\/\/doi.org\/10.1007\/s10489-021-02444-w","journal-title":"Appl Intell"},{"key":"11404_CR51","doi-asserted-by":"publisher","first-page":"4407","DOI":"10.1007\/s10115-020-01503-x","volume":"62","author":"AK Das","year":"2020","unstructured":"Das AK, Nikum AK, Krishnan SV, Pratihar DK (2020) Multi-objective Bonobo optimizer (MOBO): an intelligent heuristic for multi-criteria optimization. Knowl Inf Syst 62:4407\u20134444. https:\/\/doi.org\/10.1007\/s10115-020-01503-x","journal-title":"Knowl Inf Syst"},{"key":"11404_CR52","doi-asserted-by":"publisher","first-page":"3863","DOI":"10.3390\/su13073863","volume":"13","author":"RY Abdelghany","year":"2021","unstructured":"Abdelghany RY, Kamel S, Sultan HM, Khorasy A, Elsayed SK, Ahmed M (2021) Development of an improved Bonobo optimizer and its application for solar cell parameter estimation. Sustainability 13:3863. https:\/\/doi.org\/10.3390\/su13073863","journal-title":"Sustainability"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-025-11404-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-025-11404-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-025-11404-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,7]],"date-time":"2025-09-07T01:05:21Z","timestamp":1757207121000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-025-11404-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,5]]},"references-count":52,"journal-issue":{"issue":"23","published-print":{"date-parts":[[2025,8]]}},"alternative-id":["11404"],"URL":"https:\/\/doi.org\/10.1007\/s00521-025-11404-1","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,7,5]]},"assertion":[{"value":"12 August 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 May 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 July 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"On behalf of all authors, the corresponding author states that there is no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflicts of interest"}},{"value":"The study did not involve humans.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed consent"}},{"value":"The study did not involve humans or animals.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Human or animal participants"}}]}}