Multi-agent control in local power supply systems with flexible generation and active electricity consumers

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dc.contributor.advisorDenysiuk, Serhii
dc.contributor.authorRybii, Mykhailo
dc.date.accessioned2021-04-01T15:32:57Z
dc.date.available2021-04-01T15:32:57Z
dc.date.issued2020
dc.description.abstractenRelevance and description of the problem An important problem is the unpredictability of the dispersed generation units as the main element. Modes are determined by metrological conditions, as well as the complexity of managing the processes of interaction of active consumers with the elements of the power system. There are new problems, first of all the deterioration of the situation in the power system and the emergence of such negative consequences as: deterioration of electricity supply, imbalance in the cross sections of the power system, the presence of significant reverse overload in local networks, which can become unmanageable. Thus, there is a problem of interaction of management with the power system of a new "player" in the local electricity market as an active consumer. To do this, it is necessary to form and address optimization processes, active interaction of electricity consumers with the power system while maintaining the total benefit of the active consumer from optimizing their own schedule of electricity consumption and possible income from electricity sales with normal operation of the system. Also, changing the traditional behavior of consumers to active needs in Ukraine to solve a number of problems. This is due to the fact that Ukraine's energy system as a whole is centralized, with high-capacity power plants, focused on classic traditional electricity consumers. They need to reconsider the participation of active consumers in creating a service system for the energy system, system integration into the network, both the most active consumers and sources of dispersed generation, or their combination as part of the МAS with the subsequent formation of units that integrate individual functions. These problems can be solved by creating a problem-oriented multi-agent management system in local power supply systems, which allows the agency level to distribute the responsibilities of consumers in the electricity market, optimize their interaction with bilateral electricity flows to improve electricity quality, power supply quality and reliability stable operation of the power system. Development and improvement of methods for integration of distributed generation sources into the power supply network within the problem of increasing the efficiency of flexible generation, improving the efficiency of distributed generation, creating a multi-agent control system using the potential of active consumers to optimize energy consumption and energy efficiency in local power systems. in general, it is an urgent scientific and technical task. Purpose of research Creation of scientific and applied bases of the organization of the local market of the electric power by development of theoretical bases, development of models, methods and means which provide the effective organization and interaction of elements of the market. Review new, additional issues that involve the use of prosumers at the local Smart Grid level. Research method The master's thesis is based on such a method as the Scientific research. Data and formulas were collected for further processing into a more specific answer to the question of a multiagen system. The question of the method of neural networks, which is a component of the multiagent system, is considered. Data on optimal energy consumption are considered and collected. Object of research Proces of functioning of local power supply systems with complex hierarchical management. Development and definition of algorithms for optimal functioning of local systems with flexible generation and active consumers. Development of visual graphs of electric load consumption, mathematical model, algorithms of optimal actions. Construction of the MAS model on neural networks and operation in local Smart Grid systems. Subject of research Modes of operation of local energy systems within the liberalized local energy markets and oriented approach according to the Smart Grid concept regarding the choice of optimization of optimal consumption due to an individual consumption algorithm for each technological object. Scіentіfіc novelty Based on my publications, some of the shortcomings in the modern power system have been identified. The scientific novelty is the optimization of the modern energy system based on multi-agent management (Smart grid). Apply a modern-modernized and scientific-technical method of neural networks for the optimal algorithm of energy consumption. Use generation as the best way to adjust power load schedules. Give examples of solving the problem of optimal energy consumption for technological processes and the system itself. Development of a visual model of interaction between the main equipment of the active consumer, flexible generation, as well as the interaction between the active consumer and the power supply network. Creation of a methodology for assessing the functioning of individual active consumer equipment in local power supply systems, and in the presence of flexible generation sources in general. Improve the way of optimizing the mode of operation for specific types to get the maximum benefit for participants and choose their most effective modes of operation. Research tasks 1. Conduct a literary review of scientific publications in accordance with the defined scientific direction using a library with open access to modern scientific databases. 2. To form a model of a local system that contains the interaction between agents, and to solve the problem of building an aggregator. 3. The interaction of several sources of flexible generation, to assess the possible occurrence of modes of operation of several installations operating simultaneously. 4. Analyze the issues of electromagnetic compatibility in order to eliminate power surges, possible overloads of power lines, stability and quality of electricity, power supply and evaluation of processes between agents of local networks. 5. To develop adapted methods and algorithms for MAS, which will be implemented in systems with flexible generation and active consumers. Organizational and technical methods of management of local systems on the basis of MAS, to develop algorithms of an estimation of perspective development of system from the point of view of multivariate and multiplicity of criteria. 6. To optimize organizational and technical processes in systems of complex hierarchical management in modern technical and economic conditions. 7. Consider optimizing a multi-agent network. the relationship between the neural network method and multiagent control. Algorithm for selecting optimal consumption using the neural network method. Give an example of a multi-agent system and a generation system for the optimal choice of electricity consumption. Illustration of visual diagrams, graphs, drawings. Expected results of the study Development of methods for flexible generation sources in local power systems, methods for determining the potential of the active consumer (AC) and based on algorithms for selecting the mode of operation. Solving the optimization problem of functioning of local power supply systems, as a consequence of increasing the efficiency of choosing the places of optimal placement of flexible generation sources. Improve decision-making algorithms in multi-agent systems for managing the behavior of active consumers by choosing the optimal mode of interaction based on the formation and solution of a complex optimization problem, which allows to develop problem-oriented algorithms for MAS.uk
dc.format.pagerange114 p.uk
dc.identifier.citationRybii, M. Multi-agent control in local power supply systems with flexible generation and active electricity consumers : master’s thesis : 141 Electric power, Electrical Engineering and Electromechanics / Rybii Mykhailo. – Kyiv, 2020. – 114 p.uk
dc.identifier.urihttps://ela.kpi.ua/handle/123456789/40387
dc.language.isoenuk
dc.publisherIgor Sikorsky Kyiv Polytechnic Instituteuk
dc.publisher.placeKyivuk
dc.subjectmulti-agent controluk
dc.subjectflexible generation systemsuk
dc.subjectactive electricity consumersuk
dc.subjectmulti-agent systemsuk
dc.subjectagentuk
dc.subjectintelligent systemuk
dc.subjectagent system techniqueuk
dc.subjectprosumersuk
dc.subjectsmart griduk
dc.subjectsystem optimizationuk
dc.titleMulti-agent control in local power supply systems with flexible generation and active electricity consumersuk
dc.typeMaster Thesisuk

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