CN-122021442-A - Virtual power plant flexible resource modeling method, device, equipment and medium

CN122021442ACN 122021442 ACN122021442 ACN 122021442ACN-122021442-A

Abstract

The invention relates to the technical field of virtual power plants, and discloses a virtual power plant flexible resource modeling method, device, equipment and medium, wherein the method converts heterogeneous flexible resources into a basic mathematical model through equivalent circuit abstraction, thereby realizing standardized characterization of physical operation rules of different flexible resources; A unified constraint condition set independent of specific resource types is created, the power regulation range and the power change rate boundary to be followed when resources participate in market regulation are defined, and the power regulation range and the power change rate boundary are embedded into basic mathematical models of various flexible resources, so that a schedulable model with own physical rule and standardized scheduling response capability is generated. Finally, the standardized schedulable models are integrated into a virtual power plant model library, so that a central scheduling system of the virtual power plant can perform collaborative optimization scheduling on all aggregate resources in a unified language and interface.

Inventors

ZHOU XIAO
YAN JUN
Li Cunkai
PAN ZHONGQI
ZHANG XIAOMENG
LIU JIE
Guo Mianming
LI ZILIN

Assignees

中国长江三峡集团有限公司

Dates

Publication Date: 20260512
Application Date: 20260203

Claims (10)

1. A method for modeling flexible resources of a virtual power plant, the method comprising: aiming at various types of flexible resources in the virtual power plant, respectively establishing a basic mathematical model for representing the physical operation rule of various flexible resources through equivalent circuit abstraction; establishing a unified auxiliary service constraint condition set, wherein the auxiliary service constraint condition set is independent of various flexible resources and is used for defining an adjustment range boundary and an adjustment rate boundary to be followed when the various flexible resources participate in auxiliary service of an electric power market; Taking the auxiliary service constraint condition set as a schedulable boundary condition, and respectively embedding the schedulable boundary condition set into the basic mathematical model corresponding to various flexible resources to obtain a schedulable model meeting the scheduling requirement of the power market; and integrating the schedulable models corresponding to the various flexible resources into a virtual power plant model library so as to realize unified optimal scheduling of the various flexible resources in the virtual power plant.
2. The modeling method for flexible resources of a virtual power plant according to claim 1, wherein in the step of establishing a basic mathematical model representing the physical operation rule of each type of flexible resources through equivalent circuit abstraction for each type of flexible resources in the virtual power plant, the following operations are performed for any type of flexible resources: analyzing the core characteristics of the flexible resource, and extracting physical mechanisms and/or chemical mechanisms depending on the operation of the flexible resource according to the core characteristics, wherein the core characteristics comprise energy forms, energy conversion paths and dynamic response rules of the core characteristics; mapping the physical mechanism and/or the chemical mechanism into preset equivalent circuit elements to construct an equivalent circuit model of the flexible resource; And deducing a basic mathematical model for representing the physical operation rule of the flexible resource based on the equivalent circuit model.
3. The method for modeling flexible resources of a virtual power plant according to claim 2, wherein the step of deriving a basic mathematical model characterizing the physical operation law of the flexible resources based on the equivalent circuit model comprises: Establishing a constraint equation describing topological connection of the equivalent circuit model according to kirchhoff's law; and constructing a basic mathematical model for representing the physical operation rule of the flexible resource by combining the constraint equation and the characteristic equation of each equivalent circuit element.
4. The virtual power plant flexible resource modeling method of claim 1, wherein the set of auxiliary service constraints includes an adjustment range constraint and an adjustment rate constraint; The adjustment range constraint is used for limiting the range boundaries of power adjustment of various flexible resources; The adjustment rate constraint is used to define a speed boundary for power changes of various flexible resources.
5. The virtual power plant flexible resource modeling method of claim 4, wherein the adjustment range constraint is implemented in the following manner: calculating to obtain adjusted power based on the base line power and the winning adjustment capacity of various flexible resources; And constraining the regulated power to be within a power generation power range or a power utilization power range physically allowed by various flexible resources.
6. The method for modeling flexible resources of a virtual power plant according to claim 4, wherein the implementation manner of the rate adjustment constraint is: Determining the power variable range of various flexible resources based on the climbing rate and the scheduling time interval of the various flexible resources; and constraining the power variation of various flexible resources between adjacent scheduling periods to be within the power variable range.
7. The virtual power plant flexible resource modeling method of claim 6, wherein an upper limit of the power variable range is determined by an uphill speed of the uphill speeds and the scheduling time interval; the lower limit of the power variable range is determined by a downhill climbing rate of the climbing rates and the scheduling time interval.
8. A virtual power plant flexible resource modeling apparatus, the apparatus comprising: The mathematical model construction module is used for establishing basic mathematical models for representing the physical operation rules of various flexible resources through equivalent circuit abstraction aiming at various types of flexible resources in the virtual power plant; the constraint condition construction module is used for establishing a unified auxiliary service constraint condition set which is independent of various flexible resources and is used for defining an adjustment range boundary and an adjustment rate boundary to be followed when the various flexible resources participate in auxiliary service of the electric power market; The schedulable model synthesis module is used for taking the auxiliary service constraint condition set as a schedulable boundary condition and respectively embedding the auxiliary service constraint condition set into the basic mathematical model corresponding to various flexible resources to obtain a schedulable model meeting the scheduling requirements of the power market; And the model integration module is used for integrating schedulable models corresponding to various flexible resources into the virtual power plant model library so as to realize unified optimal scheduling of various flexible resources in the virtual power plant.
9. An electronic device, comprising: A memory and a processor, the memory and the processor being communicatively coupled to each other, the memory having stored therein computer instructions, the processor executing the virtual power plant flexible resource modeling method of any of claims 1-7 by executing the computer instructions.
10. A computer-readable storage medium having stored thereon computer instructions for causing a computer to perform the virtual power plant flexible resource modeling method of any of claims 1 to 7.

Description

Virtual power plant flexible resource modeling method, device, equipment and medium Technical Field The invention relates to the technical field of virtual power plants, in particular to a method, a device, equipment and a medium for modeling flexible resources of a virtual power plant. Background Virtual power plants are used as an advanced energy management mode, and a physical or economic entity with the power grid interaction capability is formed by aggregating distributed power sources, adjustable loads, energy storage and other resources distributed in different areas. However, to achieve efficient aggregation and optimal control of virtual power plants, a core challenge is how to describe and manage a wide variety of flexible resources with different operation mechanisms, such as industrial production loads, building air conditioners, electric vehicles, energy storage devices, and the like, in a set of general and quantifiable languages. Virtual power plants are used as an innovative energy source solution, and through integrating assets on a load side, an energy storage side and a distributed power source side, various auxiliary services such as peak clipping and valley filling, demand response and frequency modulation are provided for a power grid. Compared with a newly added large power source or energy storage power station, the virtual power station pays more attention to the redevelopment and utilization of the potential of the existing resources, thereby showing remarkable economic and flexibility advantages. However, the prior art still has significant shortcomings in achieving large-scale, high-precision virtual power plant modeling. The mechanism modeling is a common system modeling method, and has the advantage of being capable of establishing a mathematical model reflecting the intrinsic rules and causal relationships of a system based on deep understanding of internal mechanisms and principles of a physical system. For example, for industrial production loads such as electric arc furnaces in steel plants, electrolytic tanks for electrolytic aluminum, etc., the operating characteristics are limited by complex physical and chemical processes, and it is difficult to completely capture the intrinsic laws thereof only by data. Through mechanism modeling, the power change of the device can be combined with physical constraints such as smelting period, temperature change and the like. The existing mechanism model is often idealized and simplified for a single device or a specific scene, cannot be completely matched with the complex real physical world, and sometimes has even larger deviation. In addition, due to the lack of uniform interfaces and specifications among mechanism models of different types of resources, independent scheduling and control algorithms need to be developed for each resource in the aggregation management of the virtual power plant, an extensible and synergetic uniform platform is difficult to form, algorithms need to be developed for different resources during the aggregation scheduling, and system complexity and response delay are increased. This modeling approach to fragmentation limits the scale application and fine management of virtual power plants. Disclosure of Invention The invention provides a modeling method, device, equipment and medium for flexible resources of a virtual power plant, which are used for solving the problems that in the prior art, a mechanism model is fragmented and cannot be directly used for unified aggregate scheduling, the adjustment range and response rate of different resources lack general constraint interfaces, and a scheduling algorithm is repeatedly developed, constructing a model library consisting of a plurality of heterogeneous resource models, and providing an accurate schedulable model for a central management system of the virtual power plant so as to realize unified mathematical description and collaborative optimal scheduling of different types of flexible resources. The invention provides a virtual power plant flexible resource modeling method, which comprises the steps of establishing basic mathematical models representing physical operation rules of various flexible resources through equivalent circuit abstraction for various types of flexible resources in a virtual power plant, establishing a unified auxiliary service constraint condition set which is independent of various flexible resources and used for defining adjustment range boundaries and adjustment rate boundaries to be followed when the various flexible resources participate in auxiliary service of an electric power market, taking the auxiliary service constraint condition set as schedulable boundary conditions, respectively embedding the schedulable boundary conditions into the basic mathematical models corresponding to the various flexible resources to obtain schedulable models meeting the scheduling requirements of the electric power market, and integrating th