Research on intelligent dispatching strategy of power grid using multi-agent and knowledge discovery algorithm

Renewable energy has great significance in environmental protection, economical conservation, and energy utilisation. Under the premise of making full use of available energy, the rational allocation and dispatch of distributed energy is the prerequisite for reliable and stable operation of urban power grid. According to the types of energy, this study divides into energy supply agent, energy demand agent, and energy dispatch agent, and establishes the multi-agent system (MAS) model of urban power grid. Use knowledge discovery algorithms to formulate scheduling plans to achieve economic development, environment-friendly, and other multi-objective optimisation. The simulation results show that the use of knowledge discovery algorithm to solve the MAS model for emergency dispatch of electric energy can effectively guarantee the scheduling request and energy supply of the lean areas in various situations.