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Related Experiment Video

Updated: Sep 13, 2025

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

Linearization method for MINLP energy optimization problems.

Anastasiia Zhadan¹, Alexey Martemyanov¹, Alexander Allahverdyan¹

¹St.Petersburg State University, 7/9 Universitetskaya nab., Saint Petersburg, Russia, 199034.

Scientific Reports

|July 30, 2025

Summary

This summary is machine-generated.

This study introduces linearization techniques to improve battery energy storage system (BESS) scheduling accuracy by addressing non-linear equipment efficiencies. The methods reduce operational errors in distributed energy systems.

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Published on: November 3, 2023

Area of Science:

Electrical Engineering
Optimization Theory

Background:

Distributed energy systems rely on Battery Energy Storage Systems (BESS) for stability and cost reduction.
Non-linear efficiency curves in BESS and power converters cause discrepancies between planned and actual energy storage.
Accurate modeling is essential for effective BESS operation and integration into smart grids.

Purpose of the Study:

To propose and evaluate linearization techniques for mitigating errors in BESS charging/discharging schedules.
To compare the effectiveness of Special Ordered Set type 1 (SOS1), Special Ordered Set type 2 (SOS2), and Taylor methods.
To develop heuristics for optimal initial point selection in efficiency curve linearization.

Main Methods:

Linearization of non-linear equipment characteristics (BESS, DC/AC, AC/DC converters) using SOS1, SOS2, and Taylor methods.
Development of heuristics for selecting initial points for linearization intervals.
Implementation and experimental validation of the proposed control strategies.

Main Results:

Demonstrated reduction in operational errors caused by non-linear equipment efficiencies.
Experimental results confirm the effectiveness of the proposed linearization approaches.
Heuristics provided effective initial point selection for linearization intervals.

Conclusions:

Linearization techniques significantly improve the accuracy of BESS scheduling in distributed energy systems.
The proposed methods offer practical solutions for managing non-linearities in power electronics and energy storage.
This research contributes to more reliable and cost-effective operation of modern energy grids.