Improving Energy Management of Hybrid Power Supply System for Livestock Farm with Renewable Energy Sources and Electric Transport

Abstract The paper focuses on farm energy consumption reduction by using control according to the forecast, considering possible deviations in generation and load from the calculated ones. The correction of the power consumption value is applied according to the deviation of the main battery state of charge from the calculated schedule, with the start value set based on the forecast. For grid mode, it is proposed to use a monotonous decrease of the battery’s state of charge during the day, reducing energy losses. This is also facilitated by levelling the load schedule by electric transport battery charging. An algorithm for calculating power consumption has been developed to create a schedule for the battery state of charge, taking into account peak consumption and depth of discharge limitations. This, together with the exclusion of correction at certain time intervals, ensures the maximum use of the battery’s energy capacity for renewable energy consumption. Simulation under different load schedules confirms the possibility of decreasing consumption by 3–5% due to the proposed changes in the charge schedules of electric transport and the state of charge of the main storage battery of the system, at a depth of discharge of no more than 52%.

Authors

Institutions

Publication Details

Journal
Acta Technologica Agriculturae
Published
2025-11-03
DOI
https://doi.org/10.2478/ata-2025-0026
Primary Topic
Mechanical Systems and Engineering
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Improving Energy Management of Hybrid Power Supply System for Livestock Farm with Renewable Energy Sources and Electric Transport

Olexander Shavolkin, Ladislav Tóth, Iryna Shvedchykova, Yurii Haman
Acta Technologica Agriculturae
Mechanical Systems and Engineering
article

Improving Energy Management of Hybrid Power Supply System for Livestock Farm with Renewable Energy Sources and Electric Transport

Olexander Shavolkin, Ladislav Tóth, Iryna Shvedchykova, Yurii Haman
article en

Abstract

Abstract The paper focuses on farm energy consumption reduction by using control according to the forecast, considering possible deviations in generation and load from the calculated ones. The correction of the power consumption value is applied according to the deviation of the main battery state of charge from the calculated schedule, with the start value set based on the forecast. For grid mode, it is proposed to use a monotonous decrease of the battery’s state of charge during the day, reducing energy losses. This is also facilitated by levelling the load schedule by electric transport battery charging. An algorithm for calculating power consumption has been developed to create a schedule for the battery state of charge, taking into account peak consumption and depth of discharge limitations. This, together with the exclusion of correction at certain time intervals, ensures the maximum use of the battery’s energy capacity for renewable energy consumption. Simulation under different load schedules confirms the possibility of decreasing consumption by 3–5% due to the proposed changes in the charge schedules of electric transport and the state of charge of the main storage battery of the system, at a depth of discharge of no more than 52%.

Acta Technologica AgriculturaeVol. 28(4)
Slovak University of Agriculture in Nitra (SK), Kyiv National University of Technologies and Design (UA), Institute of Electrical Engineering of the Slovak Academy of Sciences (SK)
Openalex Percentile: Top 75%
Mechanical Systems and Engineering
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.