<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The paper presents selected research results concerning the identification and simulation of the TGE S.A. Day-Ahead Market (DAM) system of the day for electricity delivered and sold, listed for the following hours: 5:01-6:00, 11:01-12:00, 17:01-18:00 and 23:01-24:00 in 2019, which were obtained in the MATLAB and Simulink environment using the System Identification Toolbox. As a result of identification, four respective discrete parametric arx models were obtained, which were then subject to quality assessment. Then, a simulation model was built in the Simulink environment, which was used for simulation tests and for assessing the sensitivity of the model created using the data from 2019 as the basis and the data from 2020 for verification. The obtained results confirm the correctness of both the performed discrete parametric identification and the possibility of testing the quality of the model and its sensitivity with the use of the DAM system model in the MATLAB and Simulink environment.</p>
</abstract>

The paper presents selected research results concerning the identification and simulation of the TGE S.A. Day-Ahead Market (DAM) system of the day for electricity delivered and sold, listed for the following hours: 5:01-6:00, 11:01-12:00, 17:01-18:00 and 23:01-24:00 in 2019, which were obtained in the MATLAB and Simulink environment using the System Identification Toolbox. As a result of identification, four respective discrete parametric arx models were obtained, which were then subject to quality assessment. Then, a simulation model was built in the Simulink environment, which was used for simulation tests and for assessing the sensitivity of the model created using the data from 2019 as the basis and the data from 2020 for verification. The obtained results confirm the correctness of both the performed discrete parametric identification and the possibility of testing the quality of the model and its sensitivity with the use of the DAM system model in the MATLAB and Simulink environment.

Hourly identification and simulation of the TGE S.A. Day-Ahead Market system

Siedlce University of Natural Sciences and Humanities

UPH – Siedlce University of Natural Sciences and Humanities

Control and Cybernetics

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Hourly identification and simulation of the TGE S.A. Day-Ahead Market system"}

The paper presents selected research results concerning the identification and simulation of the TGE S.A. Day-Ahead Market (DAM) system of the day for...

Hourly identification and simulation of the TGE S.A. Day-Ahead Market system

Data publikacji: 24 lut 2024

Zakres stron: 523 - 555

Otrzymano: 01 paź 2022

Przyjęty: 01 gru 2022

DOI: https://doi.org/10.2478/candc-2022-0028

Słowa kluczowe
equations of state, control system, Day-Ahead Market, identification, Polish Electricity Exchange, simulation, state space

© 2022 Radosław Marlęga et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Hourly identification and simulation of the TGE S.A. Day-Ahead Market system

Data publikacji: 24 lut 2024

Zakres stron: 523 - 555

Otrzymano: 01 paź 2022

Przyjęty: 01 gru 2022

DOI: https://doi.org/10.2478/candc-2022-0028

Słowa kluczoweequations of state, control system, Day-Ahead Market, identification, Polish Electricity Exchange, simulation, state space

© 2022 Radosław Marlęga et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Słowa kluczowe
equations of state, control system, Day-Ahead Market, identification, Polish Electricity Exchange, simulation, state space