Известия Томского политехнического университета: Инжиниринг георесурсов (May 2019)
Reconfiguration of electric networks with distributed generation and multi-agent control
Abstract
The relevance of the discussed issue is caused by the need to ensure the functionality of power systems with the inevitable introduction of distributed generation sources in the distribution networks, as a rule, without centralized dispatching system. As a result, this increases the efficiency of energy production and distribution and leads to savings geo assets. The main aim of the study is to develop a reconfiguration method for a power system with multi-agent control to reduce the overload of electric equipment and to ensure the survivability of power systems by network division and restoration. The methods used in the study: system and object-oriented approaches, mathematical modeling of grid modes with multi-agent reconfiguration. The results. The authors have developed the multi-agent grid reconfiguration method, the digital model of grid with multi-agent control; defined the principles of constructing the multi-agent system and the stages of its operation at the network reconfiguration. General and specific rules for the agents of the decentralized multi-agent system were stated. Awareness of these rules and regime parameters of the network adjacent to the agents is sufficient for making decision on dividing option of the network. The authors simulated the reconfiguration of the network with distributed generation at multi-agent control at test scheme. The paper introduces the results confirming the efficiency and effectiveness of the method. Conclusions. Management of the distribution network should be decentralized, based on multi-agent technology, as this approach is most effective in observability modes absence. The studies on reconfiguration of power system indicate the prospects and performance of multi-agent approach. If the centralized power system reconfiguration is impossible or inappropriate, the multi-agent approach can effectively solve the problem of ensuring the functionality of the electric power system. The multi-agent system is highly reliable and it is able to function adequately even at loss of any of the agents.
