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

Result code in 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>

Result on the web

<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>

Result language

angličtina

Original language name

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

Original language description

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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

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

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2017

Confidentiality

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

Article name in the collection

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

ISBN

978-1-5386-1645-1

ISSN

—

e-ISSN

neuvedeno

Number of pages

6

Pages from-to

3727-3732

Publisher name

IEEE

Place of publication

Piscataway

Event location

Banff

Event date

Oct 5, 2017

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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