Control method and system of wind power-photovoltaic-energy storage combined system

Abstract

The invention belongs to the technical field of renewable energy storage system optimization, and provides a control method and system for a wind power-photovoltaic-energy storage combined system, and the method comprises the following steps: respectively obtaining the electricity price, the output power of a photovoltaic power station and a wind power station, and the station meteorological data; according to the acquired information data and a preset energy storage control model, considering the output uncertainty of wind power and photovoltaic power, and adjusting the power of energy storage equipment to realize coordinated operation control of the wind power-photovoltaic-energy storage combined system; wherein the energy storage control model takes the maximum total income as an objective function, considers the operation constraint of the combined system, and adopts deep reinforcement learning to control the coordinated operation of the energy storage equipment and wind power and the coordinated operation of the energy storage equipment and photovoltaic in the combined system.

Description

technical field [0001] The disclosure belongs to the technical field of optimization of renewable energy energy storage systems, and specifically relates to a control method and system for a combined wind power-photovoltaic-energy storage system. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art. [0003] With the use of conventional fossil energy, resulting in shortage of fossil energy and environmental degradation, global energy structure adjustment is imperative. The focus of global energy structure adjustment is the development and utilization of renewable energy, and the importance of renewable energy such as wind power and photovoltaic power generation is gradually emerging. In the future, renewable energy generators, such as wind farms and photovoltaic power stations, will participate in electricity market transactions as generators. The inc...

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Problems solved by technology

The model-based method will face the following two problems: On the one hand, in the face of the uncertainty of wind power, photovoltaic output, etc., the renewable energy-energy storage collaborative control strategy is closely related to the accuracy of wind power, photovoltaic output power prediction, assuming The consistency between the output power probability distribution of renewable energy and the actual probability distribution will affect the output power prediction of renewable energy and then affect the optimization effect of the subsequent optimization algorithm; on the other hand, in the power prediction stage of renewable energy, its High-dimensional meteorological data is also easily lost during data compression and feature extraction, which can also affect optimization algorithm results, thereby affecting renewable energy production revenue

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