Development of multi-agent systems for distributed solutions of energy problems using agent-based scenarios Bulletin of the Tomsk Polytechnic University Vol. 326, № 5
On the one hand, the relevance of the research is defined by the evolving concept of the Smart Grid, which important aspect is the usability of the multi-agent technologies. And on the other hand the relevance is defined by a few number of practical approaches to implementation of multi-agent system. Electrical power system function and management nowadays require the development of a big sized model. Such models are not fully observable: there can be data corruption and bad synchronization. As a result, experts can make wrong decisions. To solve this problem we need to create new methods and software for state evaluation. The main aim of the research is to provide an overview of current agent solutions on IT market; to analyze the cons of the existing systems and to offer an agent scenario based approach for developing multi-agent systems to solve energy problems that will avoid these cons. Research method. Nowadays the agent approach is not used for developing the systems that solve the problems in electrical energy industry or estimate electrical power system condition in particular. The proposed approach for developing a multi-agent system should al" low interaction of agents, created on different program platforms, and also creating new and editing existing algorithms in the system by agent scenarios. Results. The authors have developed the approach for creating a multi-agent system to estimate the electric power system state with the support of cross-platform interactions and agent scenarios. The approach was tested and a system for estimating electrical power system condition is being developed now.
agent, multi-agent systems, estimation of EPS state, agent-based scenarios, Smart Grid