{"id":5218,"date":"2023-08-23T14:31:30","date_gmt":"2023-08-23T14:31:30","guid":{"rendered":"http:\/\/localhost\/GILAB\/?p=5218"},"modified":"2023-08-23T17:58:29","modified_gmt":"2023-08-23T17:58:29","slug":"real-time-reduced-model-of-active-distribution-networks-for-grid-support-applications","status":"publish","type":"post","link":"http:\/\/localhost\/GILAB\/real-time-reduced-model-of-active-distribution-networks-for-grid-support-applications\/","title":{"rendered":"Real-Time Reduced Model of Active Distribution Networks for Grid Support Applications"},"content":{"rendered":"\n

Grid Integration Laboratory (GIL) at Indian Institute of Technology, Bombay, in collaboration with Monash University, Australia, through the IITB-Monash Research Academy, has developed a new, realistic approach to develop a real-time reduced steady-state model of an active distribution network (ADN) using synchrophasor measurements that reduces the computational effort of modelling intrinsically complex ADNs.<\/p>\n\n\n\n

Owing to the naturally stochastic behaviour of DERs and the time-varying composition of loads, it is paramount to develop a real-time reduced ADN model which can adapt to operating point variations. Such models facilitate much-needed co-simulation of the bulk power system and multiple ADNs for grid support applications. With the advent of distribution-level phasor measurement units (D-PMUs), the synchrophasor data are employed to derive the reduced model parameters in real time and track the time-varying ADN operating point. The proposed approach develops a general three-phase, four-wire reduced model which can replace any arbitrary feeder configuration confined within D-PMUs. DOI<\/a><\/p>\n\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

Grid Integration Laboratory (GIL) at Indian Institute of Technology, Bombay, in collaboration with Monash University, Australia, through the IITB-Monash Research Academy, has developed a new, realistic approach to develop a real-time reduced steady-state model of an active distribution network (ADN) using synchrophasor measurements that reduces the computational effort of modelling intrinsically complex ADNs. Owing to …<\/p>\n

Real-Time Reduced Model of Active Distribution Networks for Grid Support Applications<\/span> Read More »<\/a><\/p>\n","protected":false},"author":1,"featured_media":5219,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_uag_custom_page_level_css":"","site-sidebar-layout":"default","site-content-layout":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"disabled","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","footnotes":""},"categories":[],"tags":[],"uagb_featured_image_src":{"full":["http:\/\/localhost\/GILAB\/wp-content\/uploads\/2023\/08\/1692697534814.jpg",2048,1260,false],"thumbnail":["http:\/\/localhost\/GILAB\/wp-content\/uploads\/2023\/08\/1692697534814.jpg",150,92,false],"medium":["http:\/\/localhost\/GILAB\/wp-content\/uploads\/2023\/08\/1692697534814.jpg",300,185,false],"medium_large":["http:\/\/localhost\/GILAB\/wp-content\/uploads\/2023\/08\/1692697534814.jpg",768,473,false],"large":["http:\/\/localhost\/GILAB\/wp-content\/uploads\/2023\/08\/1692697534814.jpg",1024,630,false],"1536x1536":["http:\/\/localhost\/GILAB\/wp-content\/uploads\/2023\/08\/1692697534814.jpg",1536,945,false],"2048x2048":["http:\/\/localhost\/GILAB\/wp-content\/uploads\/2023\/08\/1692697534814.jpg",2048,1260,false],"menu-24x24":["http:\/\/localhost\/GILAB\/wp-content\/uploads\/2023\/08\/1692697534814.jpg",24,15,false],"menu-36x36":["http:\/\/localhost\/GILAB\/wp-content\/uploads\/2023\/08\/1692697534814.jpg",36,22,false],"menu-48x48":["http:\/\/localhost\/GILAB\/wp-content\/uploads\/2023\/08\/1692697534814.jpg",48,30,false]},"uagb_author_info":{"display_name":"GILAB@IITB","author_link":"http:\/\/localhost\/GILAB\/author\/gilabiitb\/"},"uagb_comment_info":0,"uagb_excerpt":"Grid Integration Laboratory (GIL) at Indian Institute of Technology, Bombay, in collaboration with Monash University, Australia, through the IITB-Monash Research Academy, has developed a new, realistic approach to develop a real-time reduced steady-state model of an active distribution network (ADN) using synchrophasor measurements that reduces the computational effort of modelling intrinsically complex ADNs. Owing to…","_links":{"self":[{"href":"http:\/\/localhost\/GILAB\/wp-json\/wp\/v2\/posts\/5218"}],"collection":[{"href":"http:\/\/localhost\/GILAB\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/localhost\/GILAB\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/localhost\/GILAB\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/localhost\/GILAB\/wp-json\/wp\/v2\/comments?post=5218"}],"version-history":[{"count":1,"href":"http:\/\/localhost\/GILAB\/wp-json\/wp\/v2\/posts\/5218\/revisions"}],"predecessor-version":[{"id":5220,"href":"http:\/\/localhost\/GILAB\/wp-json\/wp\/v2\/posts\/5218\/revisions\/5220"}],"wp:featuredmedia":[{"embeddable":true,"href":"http:\/\/localhost\/GILAB\/wp-json\/wp\/v2\/media\/5219"}],"wp:attachment":[{"href":"http:\/\/localhost\/GILAB\/wp-json\/wp\/v2\/media?parent=5218"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/localhost\/GILAB\/wp-json\/wp\/v2\/categories?post=5218"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/localhost\/GILAB\/wp-json\/wp\/v2\/tags?post=5218"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}