CN-121984050-A - Virtual power plant optimal operation method and system considering dynamic resource aggregation

CN121984050ACN 121984050 ACN121984050 ACN 121984050ACN-121984050-A

Abstract

The invention belongs to the technical field of virtual power plant resource scheduling, and provides a virtual power plant optimizing operation method and a virtual power plant optimizing operation system considering resource dynamic aggregation, wherein the virtual power plant optimizing operation method comprises the steps of obtaining a multi-energy resource model of a virtual power plant; the method comprises the steps of obtaining a multi-energy resource model, constructing a multi-energy resource dynamic aggregation model based on the obtained multi-energy resource model, combining the constructed multi-energy resource dynamic aggregation model, constructing an objective function of virtual power plant optimization operation with minimum net operation cost of the virtual power plant as a target, solving the constructed objective function to obtain an optimal scheduling scheme of the virtual power plant, and completing the virtual power plant optimization operation considering the resource dynamic aggregation.

Inventors

LI WEIDONG
LIN WEIBIN
CHEN DINING
CHANG WENJUAN

Assignees

中山市综合能源服务有限公司

Dates

Publication Date: 20260505
Application Date: 20260109

Claims (10)

1. The virtual power plant optimizing operation method taking dynamic aggregation of resources into consideration is characterized by comprising the following steps of: Acquiring a multi-energy resource model of a virtual power plant; constructing a multi-energy resource dynamic aggregation model based on the acquired multi-energy resource model; combining the constructed dynamic aggregation model of the multi-energy resources, and constructing an objective function of the optimized operation of the virtual power plant by taking the minimum net operation cost of the virtual power plant as the objective; And solving the constructed objective function to obtain an optimal scheduling scheme of the virtual power plant, and completing the optimal operation of the virtual power plant considering the dynamic aggregation of resources.
2. The method for optimizing operation of a virtual power plant in consideration of dynamic aggregation of resources as recited in claim 1, wherein the obtained model of the virtual power plant's multi-energy resources includes at least a model of energy balance of the carbon capture power plant and the wind and solar resources, a source-storage-load joint adjustable power boundary model, an energy storage system dynamic model, a transferable load model, and an interruptible load model.
3. A method of optimizing operation of a virtual power plant in consideration of dynamic aggregation of resources as claimed in claim 1, wherein the objective function of the virtual power plant's optimization operation constructed is Wherein, the method comprises the steps of, Is an objective function; The fuel cost of the thermal power plant; market revenue for carbon trade; is maintenance cost; Compensating for interruptible load costs; cost for purchasing electricity from the power grid; cost is punished for environmental pollution.
4. A method of virtual power plant optimization operation taking into account dynamic aggregation of resources as defined in claim 1, wherein the constraints of the objective function of the virtual power plant optimization operation include at least a power balance constraint and a carbon capture power consumption upper and lower limit constraint.
5. The method of optimizing operation of a virtual power plant in view of dynamic aggregation of resources of claim 1, further comprising multi-time scale collaborative optimization of the virtual power plant, the multi-time scale collaborative optimization comprising day-ahead scheduling, intra-day rolling correction, and real-time power balance correction.
6. A method of optimizing operation of a virtual power plant in consideration of dynamic aggregation of resources as claimed in claim 1, wherein the constructed objective function is solved using mixed integer linear programming.
7. A virtual power plant optimization operating system that accounts for dynamic aggregation of resources, comprising: an acquisition module configured to acquire a multi-energy resource model of a virtual power plant; The construction module is configured to construct a multi-energy resource dynamic aggregation model based on the acquired multi-energy resource model, and construct an objective function of the optimized operation of the virtual power plant by combining the constructed multi-energy resource dynamic aggregation model and taking the minimum net operation cost of the virtual power plant as an objective; And the optimizing module is configured to solve the constructed objective function to obtain an optimal scheduling scheme of the virtual power plant, and finish the optimal operation of the virtual power plant considering the dynamic aggregation of resources.
8. A computer readable storage medium, on which a computer program is stored, which program, when being executed by a processor, implements the steps of the virtual power plant optimization operation method taking into account dynamic aggregation of resources as claimed in any one of claims 1-6.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and running on the processor, characterized in that the processor implements the steps of the virtual power plant optimization operation method taking into account dynamic aggregation of resources according to any of claims 1-6 when executing the program.
10. A computer program product comprising software code, characterized in that a program in said software code performs the steps of the virtual power plant optimization operation method taking into account dynamic aggregation of resources according to any of claims 1-6.

Description

Virtual power plant optimal operation method and system considering dynamic resource aggregation Technical Field The invention belongs to the technical field of virtual power plant resource scheduling, and particularly relates to a virtual power plant optimal operation method and system considering dynamic aggregation of resources. Background The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art. With the transformation of global energy, the installed capacity of renewable energy sources represented by wind power and photovoltaic is continuously increased, and the permeability of renewable energy sources in an electric power system is improved year by year. However, renewable energy sources have typical intermittence, volatility, and uncertainty, and large scale grid-connection presents serious challenges for safe and stable operation of power systems. The virtual power plant (Virtual Power Plant, VPP) is used as a novel energy management technology, and the aggregation and collaborative scheduling of various flexible resources such as distributed energy sources (Distributed Energy Resources, DERs), energy storage systems, flexible loads and the like are realized through an advanced information communication technology and an intelligent control means, so that a virtual controllable unit capable of participating in electric market transaction is formed, and the flexibility, reliability and renewable energy consumption capability of the system are improved. At present, the dispatching optimization research of the virtual power plant is concentrated on static aggregation and dispatching of single type resources (such as wind power, photovoltaic, energy storage and the like), systematic modeling of flexible resources of multiple types, multiple energy complementation and dynamic coupling is lacking, and particularly under the background of a double-carbon target, the operation of the power system is required to be considered, and the economic performance, the carbon emission constraint and the environmental benefit are also required to be considered. The traditional VPP scheduling model often ignores the coupling effect of novel flexible resources such as carbon capture (Carbon Capture System, CCS), flue gas treatment, garbage incineration and the like, so that scheduling potential is not fully exerted, and the system operation requirement under high-proportion renewable energy access is difficult to adapt. In the aspect of resource aggregation, fixed capacity or typical daily curves are mostly adopted for simplifying treatment, the transferable and interruptible characteristics of loads, the dynamic energy evolution process of an energy storage system and the real-time uncertainty of wind and light output are not fully considered, so that an aggregation model is deviated from the actual operation capability, the feasibility and economy of a dispatching result are affected, in particular, in the aspects of multi-time scale coordination, multi-objective optimization, carbon emission constraint and the like, a complete theoretical system and a technical framework are not formed in the prior art, meanwhile, the prior research is focused on static aggregation of single type resources, and the comprehensive consideration of multi-energy complementation, carbon emission constraint and source-network-charge-storage coordination is lacked. Disclosure of Invention In order to solve the problems, the invention provides a virtual power plant optimizing operation method and a system taking resource dynamic aggregation into consideration, by constructing a dynamic aggregation model of source-storage-load and a multi-objective optimizing function, and the running state of the virtual power plant is optimally scheduled, so that the multi-energy complementation, peak clipping and valley filling are realized, and the renewable energy source digestion capacity and the system running flexibility are improved. According to some embodiments, the first scheme of the invention provides a virtual power plant optimizing operation method considering dynamic aggregation of resources, which adopts the following technical scheme: A virtual power plant optimizing operation method considering dynamic aggregation of resources comprises the following steps: Acquiring a multi-energy resource model of a virtual power plant; constructing a multi-energy resource dynamic aggregation model based on the acquired multi-energy resource model; combining the constructed dynamic aggregation model of the multi-energy resources, and constructing an objective function of the optimized operation of the virtual power plant by taking the minimum net operation cost of the virtual power plant as the objective; And solving the constructed objective function to obtain an optimal scheduling scheme of the virtual power plant, and completing the optimal operation of the virt