Abstract
In the context of the energy transition, research on the creation of integrated energy systems and their control is an actual task. They combine a significant share of renewable energy sources, contribute to the overall efficiency of the system, and enable active consumers to participate in the energy supply process. At the same time, in connection with the growing capacity of distributed energy sources, new problems arise related to the operation of distribution networks and difficulties in adapting the operation of active consumers in the centralized energy system. Active consumers can regulate their energy consumption by distributing the load between centralized and distributed energy sources, and as a result, they can provide flexibility, maneuverability in the operation of the system and increase the efficiency of its redundancy. To organize the work of active consumers in an integrated energy system, a multiagent approach is used. This approach is widely used by researchers to solve various practical tasks. Allows us to represent active consumers in the form of agents with an individual behavior algorithm and organize their interaction with the energy system to ensure optimal energy supply. The proposed mathematical model for finding the optimal composition of generating capacity takes into account the structural organization of centralized and distributed energy sources, as well as the participation of active consumers in the process of energy supply. Modeling of an integrated energy system and carrying out a computational experiment based on multiagent technologies are performed in the AnyLogic software environment.
Highlights
A promising direction in the field of energy research is the methodology for the creation and operation of integrated energy systems that combine centralized and distributed energy sources into a single metasystem in order to increase their overall flexibility and efficiency [1,2]
Through technical and socio-economic research as well as practical experience, it can be concluded that the integration and active participation of consumers is critical for smart energy systems
This paper presents the methodological principles and coordination mechanisms for regulating the operation of active consumers in an integrated energy system using a multiagent approach
Summary
A promising direction in the field of energy research is the methodology for the creation and operation of integrated energy systems that combine centralized and distributed energy sources into a single metasystem in order to increase their overall flexibility and efficiency [1,2]. A solution in a multiagent system is formed as a result of the interaction of a set of agents that represent objects in the energy system This interaction makes it possible to find the most optimal option for energy supply to consumers, taking into account the sources of distributed generation. Three optimization models are proposed to minimize the cost of electricity purchased from the main grid and improve its quality To this end, three criteria are introduced to take into account the agreed interests of consumers in cost savings, environmentally friendly consumption and energy security. This paper presents the methodological principles and coordination mechanisms for regulating the operation of active consumers in an integrated energy system using a multiagent approach Their application is proposed for solving the following tasks: Development of a mathematical model to find the optimal load distribution between the sources of the centralized system and distributed generation of active consumers.
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