Optimal Scheduling Strategy of Microgrid Participating in Upper Power Grid Based on Flexibility of Distributed Power

Abstract

The optimal schedule strategy of microgrid is to solve the problem of stable operation of wind power and photovoltaics, and it should also have the ability to call distributed power sources, DR loads and other flexible resources to provide auxiliary services to the grid and participate in real-time scheduling of the upper-level grid. This paper proposes a microgrid resource optimization schedule strategy based on the flexibility of distributed power generation. In the day-ahead planning stage, the day-ahead optimal scheduling model is established by combining the operating costs of the microgrid and the demand response capacity benefits; In simulation stage simulating and predicting power fluctuations and the real-time demand of the upper grid, then through the neural network obtaining the intra-day schedule model to prepare for intra-day schedule; In the intra-day stage, the tie-line power is input into the neural network model through the demand response signal of the upper-level power grid to obtain the power of each distributed. The strategy proposed in this paper can not only guarantee the economic operation of the microgrid, but also meet the real-time scheduling requirements of the upper-level grid. Finally, the results of the calculation examples verify the economy and effectiveness of the strategy.