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Optimal Control Strategy of NG Piston Engine as a DG Unit Obtained by an Utilization of Artificial Neural Network

Topics: Cost and Engineering; Distributed Control Systems; Energy Efficiency and Green Manufacturing; Engineering Applications; Machine Learning in Control Applications; Neural Networks Based Control Systems; Optimization Algorithms; Planning and Scheduling; Production Planning, Scheduling and Control; Software Agents for Intelligent Control Systems

Authors: Jaroslaw Milewski ; Lukasz Szablowski ; Jerzy Kuta and Wojciech Bujalski

Affiliation: Warsaw University of Technology, Poland

Keyword(s): Artificial Neural Network, Control Strategy, Distributed Generation, Internal Combustion Engine.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Cost and Engineering ; Distributed Control Systems ; Energy Efficiency and Green Manufacturing ; Engineering Applications ; Formal Methods ; Industrial Engineering ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Machine Learning in Control Applications ; Neural Networks Based Control Systems ; Optimization Algorithms ; Planning and Scheduling ; Production Planning, Scheduling and Control ; Robotics and Automation ; Signal Processing, Sensors, Systems Modeling and Control ; Simulation and Modeling ; Software Agents for Intelligent Control Systems ; Symbolic Systems

Abstract: The paper presents a control strategy concept of a piston engine fueled by Natural Gas as a DG unit obtained by using an Artificial Neural Network. The control strategy is based on several factors and directs the operation of the unit in the context of changes occurring in the market, while taking into account the operating characteristics of the unit. The control strategy is defined by an objective function: for example, work at maximum profit, maximum service life, etc. The results of simulations of the piston engine as a DG unit at chosen loads are presented. Daily changes in the prices of fuel and electricity are factored into the simulations.

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Paper citation in several formats:
Milewski, J.; Szablowski, L.; Kuta, J. and Bujalski, W. (2012). Optimal Control Strategy of NG Piston Engine as a DG Unit Obtained by an Utilization of Artificial Neural Network. In Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 978-989-8565-21-1; ISSN 2184-2809, SciTePress, pages 171-176. DOI: 10.5220/0004029401710176

@conference{icinco12,
author={Jaroslaw Milewski. and Lukasz Szablowski. and Jerzy Kuta. and Wojciech Bujalski.},
title={Optimal Control Strategy of NG Piston Engine as a DG Unit Obtained by an Utilization of Artificial Neural Network},
booktitle={Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2012},
pages={171-176},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004029401710176},
isbn={978-989-8565-21-1},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - Optimal Control Strategy of NG Piston Engine as a DG Unit Obtained by an Utilization of Artificial Neural Network
SN - 978-989-8565-21-1
IS - 2184-2809
AU - Milewski, J.
AU - Szablowski, L.
AU - Kuta, J.
AU - Bujalski, W.
PY - 2012
SP - 171
EP - 176
DO - 10.5220/0004029401710176
PB - SciTePress