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Virtual power plant day-ahead scheduling method fusing multi-energy demand side resources

A virtual power plant, demand-side technology, applied in resources, power generation forecasting in AC networks, photovoltaic power generation and other directions, can solve the problems of insufficient flexibility of demand side and few types of resources, delaying construction, reducing Harmful, economical effect

Pending Publication Date: 2021-06-08
XI AN JIAOTONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Existing research and engineering for virtual power plants, aggregated demand-side resource types are relatively small, and the flexibility of the demand side has not been fully exploited

Method used

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  • Virtual power plant day-ahead scheduling method fusing multi-energy demand side resources
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  • Virtual power plant day-ahead scheduling method fusing multi-energy demand side resources

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Embodiment Construction

[0095]The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0096] It should be understood that when used in this specification and the appended claims, the terms "comprising" and "comprises" indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude one or Presence or addition of multiple other features, integers, steps, operations, elements, components and / or collections thereof.

[0097] It should also be understood that the terminology used i...

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Abstract

The invention discloses a virtual power plant day-ahead scheduling method fusing multi-energy demand side resources. The method comprises the following steps: acquiring distributed power generation parameters and day-ahead prediction data, parameters of the multi-energy demand side resources, parameters and historical statistical data of an electric vehicle power battery, an initial operation state and a set operation demand of the multi-energy demand side resources, and power market data; constructing a normal operation mode optimization target of the virtual power plant according to the acquired data, and establishing a multi-operation mode constraint condition of the virtual power plant; and performing optimal solution on the optimization model to obtain an optimal scheduling result of the virtual power plant, and realizing day-ahead scheduling of the virtual power plant. The regulation capability of the demand side resources is fully mined, and the flexible service is provided for the power grid while the operation economy of the virtual power plant is ensured.

Description

technical field [0001] The invention belongs to the technical field of virtual power plant optimization, and in particular relates to a day-ahead dispatching method of a virtual power plant integrating multi-energy demand-side resources. Background technique [0002] With the continuous deepening of the transformation and development of the energy structure, the proportion of renewable energy such as wind power and photovoltaics in the power system has increased year by year. The uncertainty of renewable energy poses new challenges to the safe and economic operation of the power system, making the traditional power system Profound changes have taken place in the structure and mode of operation. The adjustment ability of resources on the power generation side is difficult to meet the demand for flexibility of the power system, leading to large-scale curtailment of wind and solar. In this situation, demand-side resources with considerable adjustment capacity are increasingly ...

Claims

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Application Information

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IPC IPC(8): H02J3/00H02J3/38H02J3/46H02J3/24H02J3/32G06Q10/06G06Q50/06
CPCH02J3/004H02J3/381H02J3/466H02J3/24H02J3/322G06Q10/06312G06Q50/06H02J2203/20H02J2300/24H02J2300/28H02J2300/40Y04S10/50Y02T10/40Y02E10/56
Inventor 王建学杨帆王建臣雍维桢张子龙齐捷
Owner XI AN JIAOTONG UNIV
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