Nalazite se na CroRIS probnoj okolini. Ovdje evidentirani podaci neće biti pohranjeni u Informacijskom sustavu znanosti RH. Ako je ovo greška, CroRIS produkcijskoj okolini moguće je pristupi putem poveznice www.croris.hr
izvor podataka: crosbi !

Analysis of Microgrid Power Flow Optimization with Consideration of Residual Storages State (CROSBI ID 622161)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Gulin, Marko ; Vašak, Mario ; Baotić, Mato 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

Podaci o odgovornosti

Gulin, Marko ; Vašak, Mario ; Baotić, Mato

engleski

Analysis of Microgrid Power Flow Optimization with Consideration of Residual Storages State

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.

DC microgrid ; power flow optimization ; linear program ; model predictive control

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

Podaci o prilogu

3126-3131.

2015.

objavljeno

10.1109/ECC.2015.7331014

Podaci o matičnoj publikaciji

Proceedings of the 2015 European Control Conference, ECC 2015

Linz: Institute of Electrical and Electronics Engineers (IEEE)

Podaci o skupu

European Control Conference, ECC

predavanje

15.07.2015-17.07.2015

Linz, Austrija

Povezanost rada

Elektrotehnika, Temeljne tehničke znanosti

Poveznice