Research on load awareness method based on virtual power plant

As an important operation mode to promote renewable energy consumption and deal with uneven energy distribution in the power market, virtual power plant has developed rapidly in recent years. As an important part of the virtual power plant, the uncertainty and randomness of customer side flexible load bring great challenges for virtual power plant to participate in grid demand response. Aiming at the problem of load uncertainty, this paper first studies the level and implementation architecture of load awareness technology in virtual power plant, and summarizes the load awareness technology in virtual power plant. Then, it analyzes the relevant characteristics of load group in virtual power plant, and establishes load group models such as switching load, grading load and temperature control load. Finally, a random forest algorithm based on temporal feature expansion is proposed to solve the load awareness model, and then a more accurate load sensing method is determined. The case study shows that the proposed load awareness method based on virtual power plant is more comprehensive and accurate.