E-viri
Recenzirano
-
Majumder, Irani; Dash, P.K.; Dhar, Snehamoy
Applied soft computing, March 2021, 2021-03-00, Letnik: 101Journal Article
This paper comprises of an effective Local Energy Management System (LEMS) implementing the Generalized Power Prediction Model (GPPM) for the uncertain performance of various Distributed Generations of a microgrid. The primary DGs considered to compensate intermittency is Wind Power Generation System (WPGS) and Photovoltaic (PV) along with Battery Energy Storage (BES). Solar and wind power are considered here as prediction targets and to cope with the intermittent nature of the Renewable Energy Sources (RESs), Power calculation from the RES data is included in the proposed prediction model. In order to establish arobust reduction in the predicted error, areal-time Online Sequential Kernel based Robust Random Vector Functional Link Network (OS-KRRVFLN) prediction algorithm is developed. Here, the initial randomness of the proposed OS-KRRVFLN is reduced (robust performance) by Hampel’s cost function (eP based) minimization. The PV-BES and WPGS based DGs are designed to be operated under certain uncertainties like PV arc, bus faults etc. as uninterrupted power supply with minimum grid power dependency. An efficient Distributed Adaptive Droop (DAD) control is thus opted as Primary Controller (PC). Addictiveness of DAD’s operational region is estimated while compensating eP”-. The coordination of GPPM with DAD-PC based accurate reference estimation for Independent DG Controllers (IDGCs) operation is considered as LEMS operation. Display omitted •A novel local Energy management system for PV–Wind–Battery microgrid is proposed.•A robust randomized OS-RVFLN is used for uncertain power prediction from renewable sources.•An efficient Distributed Adaptive Droop control is thus opted as Primary Controller.•The prediction error compensated droop controllers are used for energy management.•Hardware in a loop verification with D-Space for DGs uncertainty is highlighted.
![loading ... loading ...](themes/default/img/ajax-loading.gif)
Vnos na polico
Trajna povezava
- URL:
Faktor vpliva
Dostop do baze podatkov JCR je dovoljen samo uporabnikom iz Slovenije. Vaš trenutni IP-naslov ni na seznamu dovoljenih za dostop, zato je potrebna avtentikacija z ustreznim računom AAI.
Leto | Faktor vpliva | Izdaja | Kategorija | Razvrstitev | ||||
---|---|---|---|---|---|---|---|---|
JCR | SNIP | JCR | SNIP | JCR | SNIP | JCR | SNIP |
Baze podatkov, v katerih je revija indeksirana
Ime baze podatkov | Področje | Leto |
---|
Povezave do osebnih bibliografij avtorjev | Povezave do podatkov o raziskovalcih v sistemu SICRIS |
---|
Vir: Osebne bibliografije
in: SICRIS
To gradivo vam je dostopno v celotnem besedilu. Če kljub temu želite naročiti gradivo, kliknite gumb Nadaljuj.