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Pregled bibliografske jedinice broj: 786445

Dynamic Reconfiguration of Electrical Power Distribution Systems with Distributed Generation and Storage


Novoselnik, Branimir; Baotić, Mato
Dynamic Reconfiguration of Electrical Power Distribution Systems with Distributed Generation and Storage // Preprints, 5th IFAC Conference on Nonlinear Model Predictive Control
Sevilla: IFAC, 2015. str. 136-141 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


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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 : IFAC, 2015, 136-141

Skup
NMPC'15, 5th IFAC Conference on Nonlinear Model Predictive Control

Mjesto i datum
Sevilja, Španjolska, 17-20. 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 - Dynamic Management of Physically Coupled Systems of Systems (DYMASOS) (EK - FP7-ICT-2013-10) ( POIROT)

Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Branimir Novoselnik (autor)

Avatar Url Mato Baotić (autor)

Citiraj ovu publikaciju:

Novoselnik, Branimir; Baotić, Mato
Dynamic Reconfiguration of Electrical Power Distribution Systems with Distributed Generation and Storage // Preprints, 5th IFAC Conference on Nonlinear Model Predictive Control
Sevilla: IFAC, 2015. str. 136-141 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Novoselnik, B. & Baotić, M. (2015) Dynamic Reconfiguration of Electrical Power Distribution Systems with Distributed Generation and Storage. U: Preprints, 5th IFAC Conference on Nonlinear Model Predictive Control.
@article{article, year = {2015}, pages = {136-141}, keywords = {model predictive control, dynamic reconfiguration, power distribution system, optimal power flow, convex relaxation, mixed-integer programming, conic programming}, title = {Dynamic Reconfiguration of Electrical Power Distribution Systems with Distributed Generation and Storage}, keyword = {model predictive control, dynamic reconfiguration, power distribution system, optimal power flow, convex relaxation, mixed-integer programming, conic programming}, publisher = {IFAC}, publisherplace = {Sevilja, \v{S}panjolska} }
@article{article, year = {2015}, pages = {136-141}, keywords = {model predictive control, dynamic reconfiguration, power distribution system, optimal power flow, convex relaxation, mixed-integer programming, conic programming}, title = {Dynamic Reconfiguration of Electrical Power Distribution Systems with Distributed Generation and Storage}, keyword = {model predictive control, dynamic reconfiguration, power distribution system, optimal power flow, convex relaxation, mixed-integer programming, conic programming}, publisher = {IFAC}, publisherplace = {Sevilja, \v{S}panjolska} }




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