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Virtual power plant optimization scheduling method and device

A technology for optimal scheduling and virtual power plants, which is applied in the directions of instruments, data processing applications, and information technology support systems to achieve the effects of low communication requirements, long running time, and fast computing speed.

Pending Publication Date: 2021-12-14
SHANGHAI MUNICIPAL ELECTRIC POWER CO +2
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  • Claims
  • Application Information

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Problems solved by technology

[0003] However, there are some difficult problems in the power coordination management of each physical entity in the virtual power plant and its participation in power system scheduling as a whole. Therefore, it is of great research significance and application value to study the hierarchical scheduling strategy of the virtual power plant.

Method used

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  • Virtual power plant optimization scheduling method and device
  • Virtual power plant optimization scheduling method and device
  • Virtual power plant optimization scheduling method and device

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Embodiment 1

[0094] see Figure 1-5 , a virtual power plant optimal scheduling method, comprising the following steps:

[0095] S1. Obtain the day-ahead forecast data and short-term forecast data;

[0096] S2. Based on the day-ahead forecast data and short-term forecast data, construct a two-tier optimization scheduling framework for the day-ahead-real-time market. The above-mentioned two-tier optimization scheduling framework for the day-ahead-real-time market includes:

[0097] The day-ahead scheduling layer, which establishes a distributed day-ahead optimal scheduling model with the goal of maximizing the revenue of the virtual power plant based on the day-ahead forecast data;

[0098] Real-time adjustment layer, which establishes a real-time scheduling model based on short-term forecast data to follow the day-ahead scheduling plan;

[0099] S3. The day-ahead-real-time market two-tier optimization scheduling framework establishes a distributed day-ahead optimization scheduling model b...

Embodiment 2

[0141] see Figure 7 As shown, the present invention provides a virtual power plant optimal scheduling device, including:

[0142] The obtaining module is used to obtain the day-ahead forecast data and short-term forecast data;

[0143] A scheduling framework construction module, configured to construct a two-tier optimal scheduling framework for the day-ahead-real-time market based on the day-ahead forecast data and the short-term forecast data;

[0144] A day-ahead optimal scheduling model building module is used to establish a distributed day-ahead optimal scheduling model using a day-ahead-real-time market double-layer optimal scheduling framework;

[0145] A real-time scheduling model building module, used to establish a real-time scheduling model using a day-ahead-real-time market double-layer optimization scheduling framework;

[0146] The solution output module is used to solve the distributed day-ahead optimal scheduling model and the real-time scheduling model, and...

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Abstract

The invention discloses a virtual power plant optimal scheduling method and device, and belongs to the technical field of source-network-load interactive operation scheduling and control, and the method comprises the following steps: obtaining day-ahead prediction data and short-time prediction data; and constructing a day-ahead-real-time market double-layer optimization scheduling framework based on the day-ahead prediction data and the short-time prediction data. Aiming at the problem that a virtual power plant with multiple physical entities participates in optimal scheduling of a day-ahead-real-time market, a double-layer distributed optimal scheduling framework is provided for improving the optimization solution time, and a distributed day-ahead optimal scheduling model with the maximum benefit of the virtual power plant as a target is established on the upper layer based on day-ahead prediction data; for the volatility of renewable energy output, a lower layer establishes a real-time scheduling model aiming at following a day-ahead scheduling scheme based on short-time prediction data, an introduced ADMM algorithm is adopted, a centralized optimization problem is converted into a distributed optimization problem, the communication requirement is low, and the calculation speed is high.

Description

technical field [0001] The invention belongs to the technical field of source-network-load interactive operation scheduling and control, and more specifically relates to a virtual power plant optimization scheduling method and device. Background technique [0002] In recent years, virtual power plants have reduced user demand on a large scale to achieve large-scale power saving, and then achieved the goal of generating the same amount of electricity as new power plants. Virtual power plants have huge potential in grid-connected consumption of distributed power sources and user-side demand response. Application prospect. [0003] However, there are some difficult problems in the power coordination management of each physical entity in the virtual power plant and its participation in power system scheduling as a whole. Therefore, it is of great research significance and application value to study the hierarchical scheduling strategy of the virtual power plant. Contents of th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/06
CPCG06Q10/06313G06Q50/06Y02E40/70Y04S10/50
Inventor 郭晓蕊刘建涛耿建王珂叶洪波陈明凌晓波肖飞王礼文周竞吕建虎蔡晟琦顾中
Owner SHANGHAI MUNICIPAL ELECTRIC POWER CO
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