Virtual power plant multi-objective bidding control and optimization method based on dependent chance programming

Abstract

The invention discloses a virtual power plant multi-objective bidding control and optimization method based on dependent chance programming, comprising the following steps: determining the management indicators of a virtual power plant, and constructing a virtual power plant model according to the environmental indicators, customer satisfaction indicators and economic indicators; constructing a virtual power plant bidding model based on a dependent chance programming method and by taking the converter station charge and discharge power as a decision-making value and the actual output of a wind farm and the actual conversion demand of electric vehicle users as random variables; and carrying out multi-objective optimization of the virtual power plant bidding model based on a converter station charge and discharge power constraint, a converter station storage capacity constraint and an end-of-cycle power constraint, and determining the planned charge and discharge power of the electric vehicle converter station and the planned output of the virtual power plant after optimization. In view of the uncertainty of the wind power output and the conversion demand, the degree to which managers attach importance to the management indicators and the level at which the managers take risks can be effectively considered so as to formulate a power generation plan meeting the expectation as much as possible.

Description

technical field [0001] The invention relates to a regulation and optimization method for multi-objective bidding of a virtual power plant based on correlation opportunity programming. Background technique [0002] Renewable energy sources such as wind power and photovoltaics have alleviated the human energy crisis to a certain extent. However, as the grid-connected capacity of renewable energy increases year by year, its intermittency, volatility and uncertainty have increasingly severe impacts on the power grid. Its large-scale grid-connected application. [0003] As a resource-saving and environment-friendly new type of transportation, electric vehicles are rising day by day, and with the continuous development of batteries and other related technologies, they will have broad market prospects. In addition to the inherent property of being a means of transportation, electric vehicles can also be used as a large number of decentralized and cheap energy storage devices. How...

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Problems solved by technology

[0005] At present, the control research on bundling energy storage and renewable energy into the grid often focuses on the income of virtual power plants, but ignores factors such as environmental factors and grid power supply efficiency, which cannot achieve energy conservation and emission reduction goals and improve user satisfaction. degree, and these goals are difficult to reflect in the objective function in the form of quantitative benefits

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