DECENTRALIZED MULTI-ENERGY MANAGEMENT FRAMEWORK DEVELOPMENT FOR KAZAKHSTAN

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dc.contributor.authorAmanova, Togzhan
dc.date.accessioned2022-09-21T09:31:25Z
dc.date.available2022-09-21T09:31:25Z
dc.date.issued2022-04
dc.description.abstractUsing renewable energy sources (RES) efficiently and the integration of traditional energy sources, the modern decentralized energy system has led to a decrease in the use of fossil fuels and rise in the efficiency with which the impact of the energy system on the environment is reduced. As a result, the introduction of decentralized energy management system (DEMS), which regulates rational production and consumption, can reduce the inefficiency linked with the transmission and distribution of electricity, and improve the environmental and economic aspects of the country. This thesis describes a game-theoretic method for managing a distributed generation (DG) and demand response (DR) distribution network. To explore this topic, a non-cooperative game was used to analyze the impact of distributed energy supply and autonomous response to demand compared to the old centralized methods. In addition, microgrids (MGs) are considered as a building block for the implementation of existing and future power systems, since they can combine distributed energy resources, energy storage system (ESS) and controlled loads. However, in order to achieve their maximum potential, MGs must be controlled and maintained in the most efficient manner possible. As a result, this thesis is aimed at developing optimal energy management methods in a microgrid using game theory connected to a network. The microgrid modeling platform integrating MATLAB/Simulink was used after a comprehensive assessment of the literature on MG EMSs and the decentralized energy system. The different step phasor solution technique was utilized to simulate a linked MG that included a photovoltaic (PV) system, controlled loads, battery, and degradation model. Furthermore, based on the settings, the results demonstrated that the energy management system was successful in determining some battery charge values in such a manner that: (1) a amount of energy purchased throughout peak hours decreased; (2) increased own usage of locally sourced photovoltaic energy; and (3) used the battery efficiently, maintaining this within allowable levels and limiting its degradation. Consequently, an adaptable algorithm is created, which, if necessary, can be changed to obtain the desired overall control result.en_US
dc.identifier.citationAmanova, T. (2022). DECENTRALIZED MULTI-ENERGY MANAGEMENT FRAMEWORK DEVELOPMENT FOR KAZAKHSTAN (Unpublished master's thesis). Nazarbayev University, Nur-Sultan, Kazakhstanen_US
dc.identifier.urihttp://nur.nu.edu.kz/handle/123456789/6726
dc.language.isoenen_US
dc.publisherNazarbayev University School of Engineering and Digital Sciencesen_US
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.subjectResearch Subject Categories::TECHNOLOGYen_US
dc.subjectType of access: Gated Accessen_US
dc.subjectdistributed generationen_US
dc.subjectDGen_US
dc.subjectrenewable energy sourcesen_US
dc.subjectRESen_US
dc.subjectdecentralized energy management systemen_US
dc.subjectDEMSen_US
dc.subjectdemand responseen_US
dc.subjectDRen_US
dc.titleDECENTRALIZED MULTI-ENERGY MANAGEMENT FRAMEWORK DEVELOPMENT FOR KAZAKHSTANen_US
dc.typeMaster's thesisen_US
workflow.import.sourcescience

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