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Pregled bibliografske jedinice broj: 752515

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


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 (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

Profili:

Avatar Url Mato Baotić (autor)

Avatar Url Mario Vašak (autor)

Avatar Url Marko Gulin (autor)

Poveznice na cjeloviti tekst rada:

doi ieeexplore.ieee.org

Citiraj ovu publikaciju:

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 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Gulin, M., Vašak, M. & Baotić, M. (2015) Analysis of Microgrid Power Flow Optimization with Consideration of Residual Storages State. U: Proceedings of the 2015 European Control Conference, ECC 2015 doi:10.1109/ECC.2015.7331014.
@article{article, author = {Gulin, Marko and Va\v{s}ak, Mario and Baoti\'{c}, Mato}, year = {2015}, pages = {3126-3131}, DOI = {10.1109/ECC.2015.7331014}, keywords = {DC Microgrid, Power Flow Optimization, Linear Program, Model Predictive Control}, doi = {10.1109/ECC.2015.7331014}, title = {Analysis of Microgrid Power Flow Optimization with Consideration of Residual Storages State}, keyword = {DC Microgrid, Power Flow Optimization, Linear Program, Model Predictive Control}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, publisherplace = {Linz, Austrija} }
@article{article, author = {Gulin, Marko and Va\v{s}ak, Mario and Baoti\'{c}, Mato}, year = {2015}, pages = {3126-3131}, DOI = {10.1109/ECC.2015.7331014}, keywords = {DC microgrid, power flow optimization, linear program, model predictive control}, doi = {10.1109/ECC.2015.7331014}, title = {Analysis of Microgrid Power Flow Optimization with Consideration of Residual Storages State}, keyword = {DC microgrid, power flow optimization, linear program, model predictive control}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, publisherplace = {Linz, Austrija} }

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