{"id":"https://openalex.org/W2036146947","doi":"https://doi.org/10.1109/cca.2013.6662828","title":"Nonlinear predictive controller design for load frequency control in power system using quasi Newton optimization approach","display_name":"Nonlinear predictive controller design for load frequency control in power system using quasi Newton optimization approach","publication_year":2013,"publication_date":"2013-08-01","ids":{"openalex":"https://openalex.org/W2036146947","doi":"https://doi.org/10.1109/cca.2013.6662828","mag":"2036146947"},"language":"en","primary_location":{"id":"doi:10.1109/cca.2013.6662828","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cca.2013.6662828","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Control Applications (CCA)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039934968","display_name":"Hesam Komari Alaei","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"H. Komari Alaei","raw_affiliation_strings":["Department of Electrical Engineering, Power & Water University of Technology, Tehran, IRAN","Dept. of Electr. Eng., Power & Water Univ. of Technol., Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Power & Water University of Technology, Tehran, IRAN","institution_ids":[]},{"raw_affiliation_string":"Dept. of Electr. Eng., Power & Water Univ. of Technol., Tehran, Iran","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064931399","display_name":"Alireza Yazdizadeh","orcid":"https://orcid.org/0000-0002-6072-2625"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"A. Yazdizadeh","raw_affiliation_strings":["Department of Electrical Engineering, Power & Water University of Technology, Tehran, IRAN","Dept. of Electr. Eng., Power & Water Univ. of Technol., Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Power & Water University of Technology, Tehran, IRAN","institution_ids":[]},{"raw_affiliation_string":"Dept. of Electr. Eng., Power & Water Univ. of Technol., Tehran, Iran","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055929880","display_name":"Amir A. Aliabadi","orcid":"https://orcid.org/0000-0002-1002-7536"},"institutions":[{"id":"https://openalex.org/I2799389476","display_name":"MAPNA Group (Iran)","ror":"https://ror.org/0436hqh35","country_code":"IR","type":"company","lineage":["https://openalex.org/I2799389476"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"A. Aliabadi","raw_affiliation_strings":["A. Aliabadi is the head of MAPNA Group, Tehran, IRAN","MAPNA Group, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"A. Aliabadi is the head of MAPNA Group, Tehran, IRAN","institution_ids":["https://openalex.org/I2799389476"]},{"raw_affiliation_string":"MAPNA Group, Tehran, Iran","institution_ids":["https://openalex.org/I2799389476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5039934968"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.505,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.72163275,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"679","last_page":"684"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10791","display_name":"Advanced Control Systems Optimization","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10791","display_name":"Advanced Control Systems Optimization","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11081","display_name":"Advanced Control Systems Design","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.8514832258224487},{"id":"https://openalex.org/keywords/hessian-matrix","display_name":"Hessian matrix","score":0.6470378041267395},{"id":"https://openalex.org/keywords/model-predictive-control","display_name":"Model predictive control","score":0.6280795335769653},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.5972743630409241},{"id":"https://openalex.org/keywords/pid-controller","display_name":"PID controller","score":0.5902091264724731},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5594261288642883},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.49747803807258606},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.470266193151474},{"id":"https://openalex.org/keywords/automatic-frequency-control","display_name":"Automatic frequency control","score":0.4338657557964325},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42832961678504944},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.3884931802749634},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.3646940588951111},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.33906808495521545},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23885226249694824},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.18873542547225952},{"id":"https://openalex.org/keywords/temperature-control","display_name":"Temperature control","score":0.15382003784179688},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.08046212792396545}],"concepts":[{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.8514832258224487},{"id":"https://openalex.org/C203616005","wikidata":"https://www.wikidata.org/wiki/Q620495","display_name":"Hessian matrix","level":2,"score":0.6470378041267395},{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.6280795335769653},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.5972743630409241},{"id":"https://openalex.org/C47116090","wikidata":"https://www.wikidata.org/wiki/Q716829","display_name":"PID controller","level":3,"score":0.5902091264724731},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5594261288642883},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.49747803807258606},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.470266193151474},{"id":"https://openalex.org/C25915539","wikidata":"https://www.wikidata.org/wiki/Q220786","display_name":"Automatic frequency control","level":2,"score":0.4338657557964325},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42832961678504944},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.3884931802749634},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3646940588951111},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.33906808495521545},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23885226249694824},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.18873542547225952},{"id":"https://openalex.org/C536315585","wikidata":"https://www.wikidata.org/wiki/Q7698332","display_name":"Temperature control","level":2,"score":0.15382003784179688},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.08046212792396545},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cca.2013.6662828","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cca.2013.6662828","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Control Applications (CCA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.7900000214576721,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W81137451","https://openalex.org/W605663379","https://openalex.org/W1482354191","https://openalex.org/W1521469620","https://openalex.org/W1535260033","https://openalex.org/W1651676304","https://openalex.org/W1964184776","https://openalex.org/W1974668632","https://openalex.org/W1986922155","https://openalex.org/W2012444239","https://openalex.org/W2016659071","https://openalex.org/W2030184368","https://openalex.org/W2045462578","https://openalex.org/W2054932498","https://openalex.org/W2059838542","https://openalex.org/W2087884651","https://openalex.org/W2091963431","https://openalex.org/W2099835715","https://openalex.org/W2124018075","https://openalex.org/W2138621151","https://openalex.org/W2139673014","https://openalex.org/W2145585239","https://openalex.org/W2147381576","https://openalex.org/W2164824931","https://openalex.org/W2534990389","https://openalex.org/W4285719527","https://openalex.org/W4293775970","https://openalex.org/W6603433805","https://openalex.org/W6679872207","https://openalex.org/W6681273113","https://openalex.org/W6684081738"],"related_works":["https://openalex.org/W4283017538","https://openalex.org/W1996936972","https://openalex.org/W3021699548","https://openalex.org/W2015677538","https://openalex.org/W4291718021","https://openalex.org/W2075777916","https://openalex.org/W2120338570","https://openalex.org/W2145753860","https://openalex.org/W2989018981","https://openalex.org/W1895825885"],"abstract_inverted_index":{"Power":[0],"plants":[1,38],"are":[2,59],"highly":[3],"nonlinear":[4,49,81],"systems":[5],"demand":[6],"a":[7,24,65,86],"powerful":[8],"identification":[9],"method":[10,101],"for":[11,18,34,104,110,123],"prediction":[12],"of":[13,36,71,112],"their":[14],"future":[15],"values":[16],"or":[17],"control":[19,57,84],"applications.":[20],"In":[21,40],"this":[22,41],"paper,":[23],"generalized":[25],"predictive":[26,83],"controller":[27,87,122],"(GPC)":[28],"is":[29,46,88,102,117],"developed":[30],"by":[31,48],"neural":[32,54],"network":[33],"application":[35],"power":[37],"load-frequency.":[39],"case,":[42],"the":[43,62,69,80,106],"identified":[44],"model":[45,50,82],"characterized":[47],"structure":[51],"based":[52],"on":[53,79,93],"network.":[55],"The":[56,115],"objectives":[58],"to":[60],"maintain":[61],"frequency":[63],"within":[64],"desired":[66],"range":[67],"in":[68],"presence":[70],"load":[72],"disturbance":[73],"and":[74,126],"governor":[75],"parameters":[76],"uncertainty.":[77],"Based":[78],"(NMPC),":[85],"designed,":[89],"with":[90,119],"particular":[91],"emphasis":[92],"an":[94],"efficient":[95],"quasi-Newton":[96],"algorithm.":[97],"Quasi":[98],"newton":[99],"optimization":[100],"considered":[103],"update":[105],"inverse":[107],"Hessian":[108],"matrix":[109],"minimization":[111],"NMPC":[113],"criteria.":[114],"algorithm":[116],"compared":[118],"common":[120],"PID":[121],"reference":[124],"tracking":[125],"disturbances":[127],"rejection.":[128]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
