{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T14:15:17Z","timestamp":1776435317412,"version":"3.51.2"},"reference-count":25,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2019,11,28]],"date-time":"2019-11-28T00:00:00Z","timestamp":1574899200000},"content-version":"vor","delay-in-days":331,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012639","name":"Prince Sultan University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012639","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Complexity"],"published-print":{"date-parts":[[2019,1]]},"abstract":"<jats:p>This paper seeks to improve the photovoltaic (PV) system efficiency using metaheuristic, optimized fractional order incremental conductance (FO\u2010INC) control. The proposed FO\u2010INC controls the output voltage of the PV arrays to obtain maximum power point tracking (MPPT). Due to its simplicity and efficiency, the incremental conductance MPPT (INC\u2010MPPT) is one of the most popular algorithms used in the PV scheme. However, owing to the nonlinearity and fractional order (FO) nature of both PV and DC\u2010DC converters, the conventional INC algorithm provides a trade\u2010off between monitoring velocity and tracking precision. Fractional calculus is used to provide an enhanced dynamical model of the PV system to describe nonlinear characteristics. Moreover, three metaheuristic optimization techniques are applied; Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), and AntLion Optimizer (ALO) are used for tuning the FO parameters of the proposed INC\u2010MPPT. A MATLAB\u2010Simulink\u2010based model of the PV and optimization have been developed and simulated for different INC\u2010MPPT techniques. Different techniques aim to control the boost DC\u2010DC converter towards the MPP. The proposed optimization algorithms are, also, developed and implemented in MATLAB to tune the target parameters. Four performance indices are also introduced in this research to show the reliability of the comparative analysis of the proposed FO\u2010INC with metaheuristic optimization and the conventional INC\u2010MPPT algorithms when applied to a dynamical PV system under rapidly changing weather conditions. The simulation results show the effective performance of the proposed metaheuristic optimized FO\u2010INC as a MPPT control for different climatic conditions with disturbance rejection and robustness analysis.<\/jats:p>","DOI":"10.1155\/2019\/7687891","type":"journal-article","created":{"date-parts":[[2019,11,28]],"date-time":"2019-11-28T23:31:10Z","timestamp":1574983870000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":85,"title":["Metaheuristic Optimization of Fractional Order Incremental Conductance (FO\u2010INC) Maximum Power Point Tracking (MPPT)"],"prefix":"10.1155","volume":"2019","author":[{"given":"Hossam Hassan","family":"Ammar","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7869-6373","authenticated-orcid":false,"given":"Ahmad Taher","family":"Azar","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3639-3665","authenticated-orcid":false,"given":"Raafat","family":"Shalaby","sequence":"additional","affiliation":[]},{"given":"M. I.","family":"Mahmoud","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2019,11,28]]},"reference":[{"key":"e_1_2_10_1_2","doi-asserted-by":"publisher","DOI":"10.12928\/telkomnika.v16i4.9512"},{"key":"e_1_2_10_2_2","doi-asserted-by":"publisher","DOI":"10.1049\/iet-rpg.2015.0331"},{"key":"e_1_2_10_3_2","doi-asserted-by":"publisher","DOI":"10.1109\/tie.2017.2736484"},{"key":"e_1_2_10_4_2","doi-asserted-by":"publisher","DOI":"10.25073\/jaec.201822.94"},{"key":"e_1_2_10_5_2","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/3286479"},{"key":"e_1_2_10_6_2","doi-asserted-by":"publisher","DOI":"10.3390\/su10051347"},{"key":"e_1_2_10_7_2","doi-asserted-by":"publisher","DOI":"10.3390\/en12091765"},{"key":"e_1_2_10_8_2","unstructured":"LiJ.andWangH. A novel stand-alone PV generation system based on variable step size INC MPPT and SVPWM control Proceedings of the 2009 IEEE 6th International Power Electronics and Motion Control Conference May 2009 Wuhan China IEEE 2155\u20132160."},{"key":"e_1_2_10_9_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00895-6"},{"key":"e_1_2_10_10_2","doi-asserted-by":"publisher","DOI":"10.1155\/2015\/493452"},{"key":"e_1_2_10_11_2","doi-asserted-by":"publisher","DOI":"10.5772\/intechopen.82302"},{"key":"e_1_2_10_12_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-91086-4_10"},{"key":"e_1_2_10_13_2","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-813592-1.00009-X"},{"key":"e_1_2_10_14_2","unstructured":"SunY.andYihanY. Non-inverting buck-boost converter control 2018 US Patent App. 15\/729 366."},{"key":"e_1_2_10_15_2","unstructured":"MohapatraA. Optimized parameter estimation array configuration and MPPT control of standalone photovoltaic system 2018 National Institute of Technology Rourkela India Ph.D. thesis."},{"key":"e_1_2_10_16_2","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2015.2502428"},{"key":"e_1_2_10_17_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-016-2447-9"},{"key":"e_1_2_10_18_2","doi-asserted-by":"publisher","DOI":"10.17737\/tre.2018.4.3.0049"},{"key":"e_1_2_10_19_2","first-page":"233","volume-title":"International Conference in Artificial Intelligence in Renewable Energetic Systems","author":"Oubbati B.","year":"2018"},{"key":"e_1_2_10_20_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-10-8055-5_24"},{"key":"e_1_2_10_21_2","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-816152-4.00020-0"},{"key":"e_1_2_10_22_2","doi-asserted-by":"publisher","DOI":"10.1103\/physrevd.97.122003"},{"key":"e_1_2_10_23_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2018.07.001"},{"key":"e_1_2_10_24_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10044-018-0695-2"},{"key":"e_1_2_10_25_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-12127-3_3"}],"container-title":["Complexity"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/complexity\/2019\/7687891.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/complexity\/2019\/7687891.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1155\/2019\/7687891","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,7]],"date-time":"2024-08-07T12:07:28Z","timestamp":1723032448000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1155\/2019\/7687891"}},"subtitle":[],"editor":[{"given":"Jianwu","family":"Zeng","sequence":"additional","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2019,1]]},"references-count":25,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2019,1]]}},"alternative-id":["10.1155\/2019\/7687891"],"URL":"https:\/\/doi.org\/10.1155\/2019\/7687891","archive":["Portico"],"relation":{},"ISSN":["1076-2787","1099-0526"],"issn-type":[{"value":"1076-2787","type":"print"},{"value":"1099-0526","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,1]]},"assertion":[{"value":"2019-07-25","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2019-10-18","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2019-11-28","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"7687891"}}