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Comparative Study of the Identification Methods of the Management System of the Day-Ahead Market of Polish Energy Market S.A.

Marlęga Radosław

Studia Informatica : systems and information technology

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2021

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Vol. 1-2(25)

67--86

EN

Nowadays, identification and neural methods are used more and more often in modeling IT forecasting systems in addition to analytical methods. Six characteristic models used to forecast the Day- Ahead Market system functioning as a transaction management system at the Polish Power Exchange (POLPX) and the Nord Pool Spot market have been selected for comparative analysis. The research was preceded by a detailed discussion of modern criteria used to assess the quality of model fitting to the system, namely: effectiveness, efficiency, and robustness. In the literature, there are two main groups of system modeling methods, namely time series modeling methods and identification modeling methods, including neural modeling methods. Modeling usually results in such models as parametric models and artificial neural networks learned neural models of the Day-Ahead Market, as well as time series models, among others. In the comparative analysis, special attention was paid to the accuracy of the obtained models concerning the system. It has been pointed out that the studied solutions used to measure the accuracy of modeling criteria such as accuracy of fit or efficiency, and did not use the modeling efficiency, which is very important in IT forecasting systems for such large markets as the Day-Ahead Market of POLPX. The search for the best market models, including identification models of the Day- Ahead Market operation that can be used in electricity price forecasting is a very important issue both from the point of view of algorithmic solutions and economical solutions.

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Identification modeling of Polish electric power exchange

Marlęga R., Tchórzewski J.

Information Systems in Management

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2016

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Vol. 5, No. 2

195--204

EN

This paper contains selected results of identification modeling of Polish Electric Power Exchange (EPE). In order to obtain EPE system model it was performed identification based on figures of EPEís Day-Ahead Market. During performing identification process, parametric arx model in System Identification Toolbox environment was utilized. Generated EPE parametric model has been further used for performing simulation tests and realization of susceptibility testing. Suitable models were implemented in Simulink software. As a result of simulation and susceptibility testing, many interesting findings has been delivered.

3

Parametrical models of working rotor machine blade diagnostics with its unmeasurable environment elimination

Lindstedt P., Grądzki R.

Acta Mechanica et Automatica

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2010

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Vol. 4, no. 4

56-63

EN

The paper presents the basic of the new method of rotor machine blades during their operation. The method utilizes such diagnostic models as a quotient of diagnostic signal y(t) amplification being a result of blade operation and x(t) signal of its environment as the blade tip approaches the sensor as well as amplification of these signals as the blade tip recedes from the sensor and phase shift difference of these signals as the blade tip approaches and recedes from the sensor. The adopted diagnostic models indirectly take the current blade environment x(t) into account with no necessity of measuring (Kotowski and Lindstedt, 2007; Lindstedt and Kotowski, 2004). Therefore the model is sensitive to blade technical condition changes remaining only slightly sensitive to environment changes. Suggested method may prove very important in diagnostics of rotor blades during operation of rotor machines (turbines, compressors etc.).

4

Model parametryczny baterii kolektorów słonecznych

Chochowski A., Obstawski P.

Inżynieria Rolnicza

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2005

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R. 9, nr 14

55--64

PL

W pracy zaprezentowano parametryczny model baterii kolektorów płaskich opracowany na podstawie rzeczywistych danych pomiarowych pochodzących z monitoringu pracy hybrydowego systemu zasilającego w energię cieplną budynek hotelowy w Regionalnym Centrum Edukacji Ekologicznej w Budach Grabskich. Do analizy wybrano sześć dni o różniących się zasadniczo parametrach pracy. W procesie identyfikacji segment kolektorów potraktowano jako element dwuwejściowy i jednowyjściowy. Instrumentem użytym do osiągnięcia celu głównego był pakiet Matlab, umożliwiający opracowywanie modeli parametrycznych metodą "czarnej skrzynki".

EN

In work was presented the parametrical model of battery of flat collectors which was worked out on the base the real measuring coming from monitoring of work of hybrid system feeding in heat energy hotel in Regional Center of Ecological Education in Budy Grabskie. It to analysis was chosen the six days about differing fundamentally the parameters of work. In identification process the segment of collectors was treated as two inputs and one output element. Instrument which used to achievement the of main aim was packet Matlab, enabling it working out parametrical models of method "black box".