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Hierarchical and distributed optimal scheduling of virtual power plant based on alternating direction multiplier method

With the gradual expansion of the scale of distributed new energy such as wind power and photovoltaic, the volatility and uncertainty of power grid operation have increased significantly. The virtual power plant aggregates the wider distributed resources and loads into a whole to participate in the main network dispatching, which can not only give play to the stable output characteristics of the traditional power plant, but also have good complementary due to the aggregation of a variety of power generation and consumption units, and can better participate in the main network day-to-day, real-time dispatching and auxiliary services. However, there are many kinds of resources in the virtual power plant. How to reasonably arrange the power arrangement of each physical entity and meet the needs of system engineering scheduling is an urgent problem. Aiming at the optimal scheduling problem of virtual power plant participating in day ahead and real-time market, this paper proposes a hierarchical distributed optimal scheduling method of virtual power plant based on alternating direction method of multipliers (ADMM).Based on the ADMM algorithm, the centralized optimization problem of the virtual power plant is converted into a distributed optimization problem, and the internal coordination and optimization problem of the virtual power plant with multiple physical entities is solved.