Multi-energy microgrid energy prediction and optimization scheduling method based on communication network

Abstract

The invention relates to a multi-energy microgrid energy prediction and optimization scheduling method based on a communication network, and is used for obtaining a microgrid optimal scheduling strategy in an economic and environment-friendly mode. The method comprises the following steps that: 1) multi-energy microgrid energy prediction is carried out: a photovoltaic power generation prediction model, a wind power generation prediction model and a load prediction model are established separately, and prediction of the photovoltaic power generation power, the wind power generation power and the load power is performed separately; and 2) in feedback correction of prediction control on photovoltaic power generation, wind power generation and load, an ARIMA ultra-short-term prediction methodis adopted to perform prediction error prediction, so as to obtain more accurate prediction values of photovoltaic power generation power, the wind power generation power and the load power; and by taking the prediction values as input of the prediction control mode, and the prediction control mode is solved to obtain the optimal microgrid optimization dispatching strategy. Compared with the priorart, the method has the advantages of being accurate in prediction, stable in dispatching operation and the like.

Description

technical field [0001] The invention relates to energy dispatching of a microgrid, in particular to a method for energy forecasting and optimal dispatching of a multi-energy microgrid based on a communication network. Background technique [0002] Over the past few decades, global warming, environmental degradation, and population growth have led to an increasing demand for abundant, clean, and sustainable power generation energy. However, most of the electricity consumed today comes from thermal power plants that burn fossil fuels. Thermal power plants are not only inefficient and consume limited fossil fuels, but also the carbon dioxide emitted by burning them leads to the greenhouse effect. Renewable energy (solar energy, wind energy, etc.) is characterized by clean energy without carbon dioxide emissions, which is very much in line with the current demand for power generation energy. These renewable energy power generation are affected by weather factors, and are gener...

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Problems solved by technology

[0004] Although there have been researches on microgrid energy scheduling, these studies have not fully utilized the convenience of communication networks, nor have they used specific and accurate prediction methods for microgrid power generation and load in microgrid energy scheduling. Therefore, these energy scheduling strategies do not work well

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