Affiliation:
1. Melentiev Energy Systems Institute SB RAS
Abstract
In this work, an approach for accounting and regulating the share of distributed generation in an integrated energy system is developed. In order to model an integrated energy system, a multi-agent approach was used, which presents a technologically complex system as a combination of agents, each having individual behaviour. The essence of a multi-agent approach is as follows: an integrated energy system is represented as a combination of components modelled by their agents having an individual behaviour algorithm; each element of an integrated energy system is involved in the generation of a solution and protects its interests on the basis of efficient energy supply. The implementation of this approach was carried out using the AnyLogic software environment, which includes the basic components of agent and simulation modelling, allowing any multi-agent systems to be developed depending on the application. The custom structure of the multi-agent system for integrated energy systems was developed, factoring in its performance features and interaction of objects, the main composition and types of agents of the multi-agent system being determined. The following types of agents were distinguished: consumer agent, dynamic consumer agent, network agent, manager agent of dynamic consumer, agent of centralised energy source, network agent and advisory agent. A multi - agent model of a real power supply system of a residential area in Irkutsk, having centralised and distributed energy sources, was developed. Taking into account the efficient operation of centralised energy sources, the principles for regulating the share of distributed generation in the system were proposed, allowing the total costs of energy supply to consumers to be reduced by rearranging power between centralised and distributed generation sources. The results obtained using the developed multi-agent model were used to formulate the principles of interactions of centralised and distributed energy generation sources. The redistribution of power between these energy sources on the basis of the above principles reduced the total costs by 4.22% for heat supply and 9.94% for electricity supply to consumers.
Publisher
Irkutsk National Research Technical University