Determination of Parameters of Adaptive Law for the Control of an Off-grid Power System
Konstantin Suslov, Svetlana Solodusha, Dmitry Gerasimov
2016
Abstract
The paper presents the results of a study of an off-grid electric power system that contains typical generation and load devices. The aim of the study is to develop an algorithm for selecting the optimal parameters of adaptive control law of the energy characteristics in the off-grid power system at the connection point of a varied load. To this end a simulation experiment was carried out and its results were used to numerically model the off-grid power system. The authors apply a known method of modelling the complex multi-parametric systems represented by the Volterra integro-power series. Standard approaches to the measurement of dynamic performance were applied to identify a transient response of the system.
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Paper Citation
in Harvard Style
Suslov K., Solodusha S. and Gerasimov D. (2016). Determination of Parameters of Adaptive Law for the Control of an Off-grid Power System . In Proceedings of the 5th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS, ISBN 978-989-758-184-7, pages 129-135. DOI: 10.5220/0005759401290135
in Bibtex Style
@conference{smartgreens16,
author={Konstantin Suslov and Svetlana Solodusha and Dmitry Gerasimov},
title={Determination of Parameters of Adaptive Law for the Control of an Off-grid Power System},
booktitle={Proceedings of the 5th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,},
year={2016},
pages={129-135},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005759401290135},
isbn={978-989-758-184-7},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 5th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,
TI - Determination of Parameters of Adaptive Law for the Control of an Off-grid Power System
SN - 978-989-758-184-7
AU - Suslov K.
AU - Solodusha S.
AU - Gerasimov D.
PY - 2016
SP - 129
EP - 135
DO - 10.5220/0005759401290135