LP-based predictive energy management system for residential PV/BESS

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F17%3A10241720" target="_blank" >RIV/61989100:27240/17:10241720 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/8123213" target="_blank" >https://ieeexplore.ieee.org/document/8123213</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/SMC.2017.8123213" target="_blank" >10.1109/SMC.2017.8123213</a>

Jazyk výsledku

angličtina

Název v původním jazyce

LP-based predictive energy management system for residential PV/BESS

Popis výsledku v původním jazyce

The deployment of solar energy generation combined with energy storage systems can reduce the energy dependency of individual households while mitigating the impact of the intermittent renewable energy sources on the electric power grid. However, to maximize the benefits, efficient operational strategies must be defined to manage flows of energy in such systems. The first step towards the development of such energy management system, described in previous work, is the determination of the optimal power flows that reflects the current and future solar energy availability and household load, as well as the state of the energy storage system. This paper builds on the optimal power flows to develop an advanced energy management system. The time series of the optimal flows, determined using linear programming, are used to set the parameters of the controller for the next time window. The results confirm the operational and economic benefits of using the proposed LP-based predictive energy management. It also compares favorably with other commonly used strategies. (C) 2017 IEEE.

Název v anglickém jazyce

LP-based predictive energy management system for residential PV/BESS

Popis výsledku anglicky

The deployment of solar energy generation combined with energy storage systems can reduce the energy dependency of individual households while mitigating the impact of the intermittent renewable energy sources on the electric power grid. However, to maximize the benefits, efficient operational strategies must be defined to manage flows of energy in such systems. The first step towards the development of such energy management system, described in previous work, is the determination of the optimal power flows that reflects the current and future solar energy availability and household load, as well as the state of the energy storage system. This paper builds on the optimal power flows to develop an advanced energy management system. The time series of the optimal flows, determined using linear programming, are used to set the parameters of the controller for the next time window. The results confirm the operational and economic benefits of using the proposed LP-based predictive energy management. It also compares favorably with other commonly used strategies. (C) 2017 IEEE.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017

ISBN

978-1-5386-1645-1

ISSN

—

e-ISSN

neuvedeno

Počet stran výsledku

6

Strana od-do

3727-3732

Název nakladatele

IEEE

Místo vydání

Piscataway

Místo konání akce

Banff

Datum konání akce

5. 10. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—