Event under the auspices of the Ministry of Economy of Slovak Republic

Research of electrical power consumers reaction in power consumption management system

Anatolijs Mahnitko
Riga Technical University, Riga, Latvia

Anatoly Zamulko
National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute», Ukraine

Yurii Veremiichuk
National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute», Ukraine

Volodymyr Nakhodov
National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute», Ukraine

Kristina Berzina
Riga Technical University


     Last modified: 2017-06-20

Abstract
In the United Energy System (UES) of Ukraine retained the negative trend of significant irregularity of daily electricity consumption schedule, especially in autumn and winter period. UES Ukraine daily load schedule irregularity in 2016 amounted from the 4,500 MW in summer up to 6500 MW in the winter period. This situation requires finding effectiveness evaluation methods of management decisions in the energy sector implementation, particularly at power consumption management. One available power consumption managing option is tariff system, differentiated by time of use periods, which effectiveness is ensured by usage of consumers potential in power consumption reduction.
An important step in research of such consumers opportunities is to determine its response to proposed changes in the tariff system. This approach significantly reduces the risk of management methods implementation. Allows to make adjustments at initial stages. Basic for such assessment implementation are communication methods. A further step is processing of expert surveys results and usage of fuzzy logic elements. Аrticle reviewed methodical approaches for defining existing differentiated tariffs improving priorities. Conducted research of dependence between tariffs coefficients level established for allocate day zones and consumers electrical power demand changes that occurred or could occur through the use of differentiated tariffs in terms of their multivariate characteristics.
Expert data and fuzzy logic methods usage alows to recive fuzzy inference models, that are used in analysis of differentiated tariffs impact at energy system by changing the price rates. Obtained dependencies allow to change electricity consumption and receive predicted values with a given probability.
Proposed approach allows to establish unified model, based on experts data and fuzzy logic methods. Proposed model allows to conduct evaluation and analysis of capabilities and effectivness of rates changes, differentiated by time periods, implementation. Further methodical approach can be implemented for solving problems related with effectiveness analysis of tariffs, differentiated by time periods and different tariff menu usage.

Keywords: рower supply, мethods of controlling, group of electric energy consumers, electricity tariff.

 

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