Pregled bibliografske jedinice broj: 786445
Dynamic Reconfiguration of Electrical Power Distribution Systems with Distributed Generation and Storage
Dynamic Reconfiguration of Electrical Power Distribution Systems with Distributed Generation and Storage // Preprints, 5th IFAC Conference on Nonlinear Model Predictive Control
Sevilla: International Federation of Automatic Control (IFAC), 2015. str. 136-141 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 786445 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Dynamic Reconfiguration of Electrical Power Distribution Systems with Distributed Generation and Storage
Autori
Novoselnik, Branimir ; Baotić, Mato
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Preprints, 5th IFAC Conference on Nonlinear Model Predictive Control
/ - Sevilla : International Federation of Automatic Control (IFAC), 2015, 136-141
Skup
NMPC'15, 5th IFAC Conference on Nonlinear Model Predictive Control
Mjesto i datum
Sevilla, Španjolska, 17.09.2015. - 20.09.2015
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
model predictive control ; dynamic reconfiguration ; power distribution system ; optimal power flow ; convex relaxation ; mixed-integer programming ; conic programming
Sažetak
In this paper we present a nonlinear model predictive control strategy for dynamic reconfiguration of electrical power distribution systems with distributed generation and storage. Even though power distribution systems are physically built as interconnected meshed networks, as a rule, they operate in a radial topology. The network topology can be modified by changing status of the line switches (opened/closed). The goal of the proposed control strategy is to find the optimal radial network topology and the optimal power references for the controllable generators and energy storage units that will minimize cumulative active power losses while satisfying operating constraints. By utilizing recent results on convex relaxation of the power flow constraints, the proposed dynamic reconfiguration algorithm can be formulated as a mixed-integer second order cone program. Furthermore, if polyhedral approximations of second order cones are used then the underlying optimization problem can be solved as a mixed- integer linear program. Performance of the algorithm is illustrated on a small simulation case study based on actual meteorological and consumption data.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo, Temeljne tehničke znanosti
POVEZANOST RADA
Projekti:
HRZZ-I-3473-2014
EK-FP7-611281 - Dinamičko upravljanje fizikalno povezanim sustavima sustava (DYMASOS) (Baotić, Mato, EK ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb