{"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