Multi-time scale economic dispatching method for electric heating comprehensive system based on improved VMD

Abstract

The invention discloses a multi-time scale economic dispatching method for an electric heating comprehensive system based on an improved VMD. The method comprises the steps of firstly improving the VMD into an adaptive decomposition method on the basis of a specified center frequency; then establishing a multi-time scale scheduling model of the electric heating comprehensive system containing thehybrid energy storage, determining a center frequency according to a wind power long-term trend and the response speed of an energy storage part and a thermal part, and carrying out three-layer decomposition on a wind power signal by adopting the improved VMD, wherein the first layer is matched with the wind power long-term trend and is used for formulating the unit start-stop and the unit and electric boiler preliminary output, the frequency of the second layer is adapted to the response speed of an energy type energy storage device and is used for determining a charging and discharging planof the energy storage device and the adjustment quantity of the unit and electric boiler, and the frequency of the third layer is adapted to a power type energy storage device and is used for making the charging and discharging plan of the power type energy storage device and correcting through an intraday and real-time scheduling model. By adopting the improved VMD, the wind curtailment amount and the load shedding amount can be effectively reduced.

Description

technical field [0001] The invention relates to an improved VMD-based multi-time-scale economic scheduling method for an electric-heat integrated system, and belongs to the fields of wind power uncertainty analysis and new energy grid-connected scheduling. Background technique [0002] In recent years, with the increasingly serious problems of environmental pollution and energy crisis, the rapid development of renewable energy represented by wind power has attracted widespread attention. However, due to the volatility and randomness of wind power, the phenomenon of wind abandonment is serious , brought huge losses to the economy. [0003] In the multi-time scale optimal scheduling of the integrated electric heating system, energy storage devices and electric boilers with different response speeds can play a role in absorbing and curtailing wind. Nano space; energy storage devices can transfer energy in the space-time range, charge when the wind curtailment is severe, and di...

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Problems solved by technology

Some scholars combine the photovoltaic power fluctuation standard and the characteristics of energy storage components to adaptively carry out variational mode decomposition on the original photovoltaic power, so as to realize the primary distribution of power, but only use the photovoltaic power fluctuation standard as the constraint condition of the first layer of VMD decomposition. The K value is adaptively selected, but the remaining intermediate frequency signals and high frequency signals of photovoltaics are also divided by the dividing points of different response speeds of energy storage devices, which cannot accurately adapt to the response speed of energy storage devices, and there may be slow response speeds. The phenomenon that the energy storage device cannot stabilize photovoltaic fluctuations in time

At present, when the decomposition method proposed above is adapted to the hybrid energy storage device, the decomposed signal is divided into different response speed dividing points of the energy storage device, and the decomposed signal is not determined to be suitable for the energy storage device. Around the center frequency

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