Pregled bibliografske jedinice broj: 752515
Analysis of Microgrid Power Flow Optimization with Consideration of Residual Storages State
Analysis of Microgrid Power Flow Optimization with Consideration of Residual Storages State // Proceedings of the 2015 European Control Conference, ECC 2015
Linz: Institute of Electrical and Electronics Engineers (IEEE), 2015. str. 3126-3131 doi:10.1109/ECC.2015.7331014 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Analysis of Microgrid Power Flow Optimization with
Consideration of Residual Storages State
Autori
Gulin, Marko ; Vašak, Mario ; Baotić, Mato
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 2015 European Control Conference, ECC 2015
/ - Linz : Institute of Electrical and Electronics Engineers (IEEE), 2015, 3126-3131
Skup
European Control Conference, ECC
Mjesto i datum
Linz, Austrija, 15.07.2015. - 17.07.2015
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
DC Microgrid ; Power Flow Optimization ; Linear Program ; Model Predictive Control
(DC microgrid ; power flow optimization ; linear program ; model predictive control)
Sažetak
Microgrid is a cluster of distributed generation sources, storages and loads that cooperate so as to improve the reliability and quality of the local power supply and of the power system. In this paper we present a power flow optimization of a DC microgrid that consists of photovoltaic array, batteries stack and fuel cells stack with electrolyser, and is connected to the grid via bidirectional power converter. The optimization problem aims to minimize microgrid operating costs and is formulated using a linear program that takes into account the storages charge and discharge efficiency, and considers the residual state of the energy storage systems in the criterion function. Performance of the proposed approach is verified through year-scale simulations based on the actual meteorological, electricity price and consumption data. The analysis performed points out that especially for short prediction horizons it is very important to ensure proper penalization of the residual storages state in the criterion function in order to yield optimum revenue from microgrid operation.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Temeljne tehničke znanosti
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb