Micro-grid group energy management method based on dynamic random model

Abstract

The invention discloses a micro-grid group energy management method based on a dynamic random model, and belongs to the field of micro-grid group energy management. The problem that the energy management capability is poor due to the fact that the influence of dynamic random factors on the energy management of the micro-grid group system is not considered is solved. The method comprises the steps of firstly constructing a dynamic randomness model, generating renewable energy prediction data and load prediction data by using the dynamic randomness model, then optimizing the prediction data by using an inter-power-grid energy transaction model to obtain an optimization result, and by using a day-ahead scheduling model and combining with the real-time electricity price, performing scheduling processing on the received renewable energy prediction data, the load prediction data and the optimization result generated by the inter-microgrid energy transaction model to obtain energy flow data in the microgrid and between the microgrids; and finally, correcting energy flow data in the micro-grids and between the micro-grids by using an intra-day rolling optimization model according to the real-time meteorological information and the state of the micro-grid group system so as to complete energy management. The method is mainly used for energy management among micro-grid group energy.

Description

technical field [0001] The invention belongs to the field of energy management of microgrid groups. Background technique [0002] With the rapid development of microgrid technology, in a certain area, there may be parallel, series, nested and other relationships between microgrids, thus forming a complex microgrid group. The microgrid group system is the extension and deepening of the microgrid. Due to the different wind and solar resources and population density in the built area, the power generation capacity and load consumption of a single micro-grid are also different, so a single micro-grid often has surplus power or power shortage. Considering the economy, the surplus power micro-grid will The excess electricity is sold to the power system at a low price. For the reliability of power supply, the power-short microgrid will purchase electricity from the power system to meet the load and maintain the normal operation of the microgrid. The interconnection of multiple mi...

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Problems solved by technology

[0004] The purpose of the present invention is to solve the problem of poor energy management capability caused by not considering the impact of dynamic random factors on the energy management of the microgrid group system. The present invention provides a microgrid group energy management method based on a dynamic stochastic model

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