Adaptive robust scheduling optimization method for virtual power plant

An adaptive robust, virtual power plant technology, applied in data processing applications, instruments, financial management, etc.

Active Publication Date: 2018-08-10
HOHAI UNIV
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  • Abstract
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  • Application Information

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Problems solved by technology

[0004] In order to solve the technical problems raised by the above-mentioned background technology, the present invention aims to provide an adaptive robust scheduling optimization method for virtual power plants, which solves the two-stage scheduling optimization pr

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  • Adaptive robust scheduling optimization method for virtual power plant
  • Adaptive robust scheduling optimization method for virtual power plant
  • Adaptive robust scheduling optimization method for virtual power plant

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Embodiment Construction

[0066] The technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0067] The present invention designs a virtual power plant adaptive robust scheduling optimization method, such as figure 1 shown.

[0068] Hereinafter, the present invention is introduced by taking a virtual power plant as an example.

[0069] The scheduling cycle of the virtual power plant is 1 day, which is divided into 24 periods. The virtual power plant participates in the day-ahead and real-time markets at the same time, and the electricity price in the electricity market is shown in Table 1. The aggregation units of the virtual power plant include a gas turbine, a wind turbine and loads. The gas turbine adopts the TAU5670 model, and the specific data are shown in Table 2. Wind power output and load forecast data such as figure 2 shown.

[0070] The comparison results between the adaptive robust optimization method and the dete...

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Abstract

The invention discloses an adaptive robust scheduling optimization method for a virtual power plant. The method adopts adaptive robust scheduling optimization to process the output uncertainty of renewable energy sources, and considers the day-ahead and real-time two-stage scheduling of the virtual power plant. A model established with the adaptive robust scheduling optimization method is a three-layer optimization model. In order to solve the problem, the method comprises the following steps that: firstly, importing an auxiliary variable, dividing the model into a single-layer main problem and double-layer sub problems; secondly, through a duality theory, converting the double-layer sub problems into the single-layer problem; and finally, adopting a column sum constraint generation method, and solving the main problem and the sub problems through alternating iteration until the gap of two problems is converged into an acceptable range. Compared with statistic robust optimization, themethod is characterized in that the balance situation of the regulation strategy and the real-time market of each polymerization unit in the virtual power plant after the output of the renewable energy sources is obtained is considered, the fluctuation of renewable energy sources can be effectively stabilized, and the economic benefit of the virtual power plant is improved.

Description

technical field [0001] The invention belongs to the field of power system dispatching, and in particular relates to an adaptive robust dispatching optimization method for a virtual power plant. Background technique [0002] In recent years, distributed power generation based on renewable energy has developed rapidly. However, the characteristics of small capacity, large quantity, scattered access and intermittent output of distributed power have limited its large-scale development. Aggregating renewable energy in the form of a virtual power plant, and controlling each aggregation unit through an energy management system, can realize the coordinated and optimized operation of the aggregation unit, thereby improving the stability of the virtual power plant and the competitiveness when participating in the electricity market, and obtaining the benefits of economies of scale. The power market that virtual power plants can participate in includes the day-ahead market, real-time m...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/06
CPCG06Q10/0637G06Q50/06Y04S10/50Y02P90/90
Inventor 周亦洲卫志农孙国强臧海祥朱瑛陈胜
Owner HOHAI UNIV
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