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Evolutionary prediction of photovoltaic power plant energy production

Authors:

Stanislav Misak,

Ajith AbrahamAuthors Info & Claims

GECCO '12: Proceedings of the 14th annual conference companion on Genetic and evolutionary computation

Pages 35 - 42

https://doi.org/10.1145/2330784.2330790

Published: 07 July 2012 Publication History

Abstract

This paper presents an application of genetic programming to the evolution of fuzzy predictors based on fuzzy information retrieval. The fuzzy predictors are used to estimate the output of a Photovoltaic Power Plant (PVPP). The PVPPs are energy sources with an unstable production of electrical energy. It is necessary to back up the energy produced by the PVPPs for stable electric network operations. An optimal value of backup power can be set with advanced prediction models that can contribute to the robustness of the electric network within the framework of an intelligent power grid. This work extends previous research on evolutionary design of fuzzy PVPP output predictors by the evaluation of the method on a larger data set describing the operations of a real PVPP.

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Cited By

Gandoman FRaeisi FAhmadi A(2016)A literature review on estimating of PV-array hourly power under cloudy weather conditionsRenewable and Sustainable Energy Reviews10.1016/j.rser.2016.05.02763(579-592)Online publication date: Sep-2016
https://doi.org/10.1016/j.rser.2016.05.027
Kosmak JVramba JUher MStuchly JKubalik P(2014)Short-circuit protection in Off-Grid system2014 14th International Conference on Environment and Electrical Engineering10.1109/EEEIC.2014.6835890(339-344)Online publication date: May-2014
https://doi.org/10.1109/EEEIC.2014.6835890

Index Terms

Evolutionary prediction of photovoltaic power plant energy production
1. Computing methodologies
  1. Machine learning

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cover image ACM Conferences

GECCO '12: Proceedings of the 14th annual conference companion on Genetic and evolutionary computation

July 2012

1586 pages

ISBN:9781450311786

DOI:10.1145/2330784

Editor:
Terence Soule
University of Idaho, USA
,
General Chair:
Jason H. Moore
Dartmouth College, USA

Copyright © 2012 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 07 July 2012

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GECCO '12: Genetic and Evolutionary Computation Conference

July 7 - 11, 2012

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Cited By

Gandoman FRaeisi FAhmadi A(2016)A literature review on estimating of PV-array hourly power under cloudy weather conditionsRenewable and Sustainable Energy Reviews10.1016/j.rser.2016.05.02763(579-592)Online publication date: Sep-2016
https://doi.org/10.1016/j.rser.2016.05.027
Kosmak JVramba JUher MStuchly JKubalik P(2014)Short-circuit protection in Off-Grid system2014 14th International Conference on Environment and Electrical Engineering10.1109/EEEIC.2014.6835890(339-344)Online publication date: May-2014
https://doi.org/10.1109/EEEIC.2014.6835890

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