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.