LAPSE:2023.22044
Published Article

LAPSE:2023.22044
Economy Mode Setting Device for Wind-Diesel Power Plants
March 23, 2023
Abstract
The article is devoted to the problem of reducing fuel consumption in a diesel generator set (DGS) as a part of a wind-diesel power plant (WDPP). The object of the research is a variable speed DGS. The goal is to develop the WDPP intelligent control system, providing an optimal shaft speed of an internal combustion engine (ICE). The basis of the intelligent control system is an economy mode setting device (EMSD), which controls the fuel supply to the ICE. The functional chart of EMSD has been presented. The main EMSD blocks contain a controller and an associative memory block. The associative memory block is a software model of an artificial neural network that determines the optimal shaft speed of the ICE. An algorithm for the WDPP intelligent control system has been developed and tested using the WDPP Simulink model. The EMSD prototype has been created, and its research has been conducted. Dependences of the change in specific and absolute fuel consumption on the load power have been obtained for two 4 kW DGS: with constant rotation speed and variable rotation speed DGS with EMSD. It has been established that the use of EMSD in the mode of low loads allow one to reduce fuel consumption by almost 30%. The error in determining the optimal engine speed using EMSD prototype is not more than 15%.
The article is devoted to the problem of reducing fuel consumption in a diesel generator set (DGS) as a part of a wind-diesel power plant (WDPP). The object of the research is a variable speed DGS. The goal is to develop the WDPP intelligent control system, providing an optimal shaft speed of an internal combustion engine (ICE). The basis of the intelligent control system is an economy mode setting device (EMSD), which controls the fuel supply to the ICE. The functional chart of EMSD has been presented. The main EMSD blocks contain a controller and an associative memory block. The associative memory block is a software model of an artificial neural network that determines the optimal shaft speed of the ICE. An algorithm for the WDPP intelligent control system has been developed and tested using the WDPP Simulink model. The EMSD prototype has been created, and its research has been conducted. Dependences of the change in specific and absolute fuel consumption on the load power have been obtained for two 4 kW DGS: with constant rotation speed and variable rotation speed DGS with EMSD. It has been established that the use of EMSD in the mode of low loads allow one to reduce fuel consumption by almost 30%. The error in determining the optimal engine speed using EMSD prototype is not more than 15%.
Record ID
Keywords
artificial neural network, diesel-generator set, fuel economy, intelligent control system, internal combustion engine, wind-diesel power plant
Suggested Citation
Dar’enkov A, Sosnina E, Shalukho A, Lipuzhin I. Economy Mode Setting Device for Wind-Diesel Power Plants. (2023). LAPSE:2023.22044
Author Affiliations
Dar’enkov A: Department of Electric Power Engineering, Power Supply and Power Electronics, Nizhny Novgorod State Technical University n.a. R.E. Alekseev, 603950 Nizhny Novgorod, Russia
Sosnina E: Department of Electric Power Engineering, Power Supply and Power Electronics, Nizhny Novgorod State Technical University n.a. R.E. Alekseev, 603950 Nizhny Novgorod, Russia
Shalukho A: Department of Electric Power Engineering, Power Supply and Power Electronics, Nizhny Novgorod State Technical University n.a. R.E. Alekseev, 603950 Nizhny Novgorod, Russia
Lipuzhin I: Department of Electric Power Engineering, Power Supply and Power Electronics, Nizhny Novgorod State Technical University n.a. R.E. Alekseev, 603950 Nizhny Novgorod, Russia [ORCID]
Sosnina E: Department of Electric Power Engineering, Power Supply and Power Electronics, Nizhny Novgorod State Technical University n.a. R.E. Alekseev, 603950 Nizhny Novgorod, Russia
Shalukho A: Department of Electric Power Engineering, Power Supply and Power Electronics, Nizhny Novgorod State Technical University n.a. R.E. Alekseev, 603950 Nizhny Novgorod, Russia
Lipuzhin I: Department of Electric Power Engineering, Power Supply and Power Electronics, Nizhny Novgorod State Technical University n.a. R.E. Alekseev, 603950 Nizhny Novgorod, Russia [ORCID]
Journal Name
Energies
Volume
13
Issue
5
Article Number
E1274
Year
2020
Publication Date
2020-03-10
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en13051274, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2023.22044
This Record
External Link

https://doi.org/10.3390/en13051274
Publisher Version
Download
Meta
Record Statistics
Record Views
237
Version History
[v1] (Original Submission)
Mar 23, 2023
Verified by curator on
Mar 23, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2023.22044
Record Owner
Auto Uploader for LAPSE
Links to Related Works
(0.32 seconds) 0.03 + 0.02 + 0.14 + 0.06 + 0 + 0.02 + 0.01 + 0 + 0.01 + 0.02 + 0 + 0
