A two-stage resource storage load aggregation modeling method and system for internal resources of a virtual power plant

Abstract

The application discloses a two-stage storage resource and load aggregation modeling method and system for internal resources of a virtual power plant, relates to the technical field of internal resource aggregation modeling of a virtual power plant, and comprises the following steps: acquiring resource information of a target virtual power plant; constructing an internal storage resource and load resource monomer model library of the target virtual power plant based on the resource information; constructing a first-stage aggregation external characteristic model based on the resource information and the internal storage resource and load resource monomer model library; and constructing a second-stage storage resource and load resource aggregation external characteristic model of the target virtual power plant based on the first-stage aggregation external characteristic model. The application constructs a refined two-stage storage resource and load aggregation model, fully considers key physical characteristic quantities of internal resource monomers of a virtual power plant, and can effectively perform panoramic macroscopic regulation and control and local fixed-point analysis on the virtual power plant.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of virtual power plant internal resource aggregation modeling, in particular to a two-stage storage resource load aggregation modeling method and system for virtual power plant internal resources. BACKGROUND

[0002] Energy re-electrification and intelligence has become an important trend of global energy transformation. As a key technology of energy intelligence, virtual power plant has a wide application prospect. In the context of the transformation of power grid structure to clean and low carbon, vigorously developing virtual power plant has important practical significance for promoting power supply and demand balance, realizing low-cost grid connection of distributed energy, fully utilizing clean energy generation capacity and promoting green energy transformation. Virtual power plant is a set of energy management system that organically combines distributed power, adjustable load, energy storage and other adjustable resources, and controls and optimizes the adjustable resources through communication technology and control technology. The core concept of virtual power plant is to gather various dispersed and adjustable power and load through advanced information communication technology and software system to form a virtual power plant for unified management and dispatch, which can fully tap the potential of system flexibility adjustment and participate in power and energy balance.

[0003] The virtual power plant internal resource aggregation modeling technology can realize unified comprehensive coordination of all aggregated adjustable resources in the virtual power plant. This processing strategy is not a simple addition or accumulation of resources, but a comprehensive consideration of system operation constraints, device unit operation constraints and flexible characteristics, economic characteristics, etc. On this basis, a point, line and surface resource aggregation model of device layer and system layer is constructed to comprehensively evaluate the aggregated adjustable capacity, response ability and adjustment endowment of the virtual power plant. Different aggregation modeling methods can be adopted from different angles during resource aggregation, and accordingly the adjustable capacity or response ability of the resource will be different in terms of adjustment range, economic cost, response endowment, etc.

[0004] However, the traditional virtual power plant internal resource aggregation modeling method fails to fully consider the individual characteristics of virtual power plant internal energy storage, power supply and load resources and the external power characteristics after aggregation, so that the established aggregation model cannot effectively perform panoramic macro-control and local point analysis of the virtual power plant. SUMMARY

[0005] The present application relates to the technical field of virtual power plant internal resource aggregation modeling, in particular to a two-stage storage resource load aggregation modeling method and system for virtual power plant internal resources.

[0006] In a first aspect, an embodiment of the present application provides a two-stage storage resource and load aggregation modeling method for internal resources of a virtual power plant, comprising: obtaining resource information of a target virtual power plant; the resource information comprising power supply type resource information, storage type resource information, and load type resource information; based on the resource information, constructing an internal storage resource and load resource individual model library of the target virtual power plant; based on the resource information and the internal storage resource and load resource individual model library, constructing a first-stage aggregated external characteristic model; the first-stage aggregated external characteristic model comprising a power supply type resource first-stage aggregated external characteristic model, a storage type resource first-stage aggregated external characteristic model, and a load type resource first-stage aggregated external characteristic model; based on the first-stage aggregated external characteristic model, constructing a second-stage storage resource and load resource aggregated external characteristic model of the target virtual power plant.

[0007] Further, the method further comprises: obtaining resource response priorities; based on the resource response priorities, the first-stage aggregated external characteristic model, and the second-stage storage resource and load resource aggregated external characteristic model, determining external information of the target virtual power plant.

[0008] Further, the internal storage resource and load resource individual model library comprises a power supply type resource individual model library, a storage type resource individual model library, and a load type resource individual model library; wherein the power supply type resource individual model library comprises: power supply type resource generation type, upward ramping rate, downward ramping rate, individual installed capacity, operation cost, minimum start-up operation coefficient, start-stop constraint, single start-up operation cost, single shutdown operation cost, upward rotating reserve capacity, downward rotating reserve capacity; the storage type resource individual model library comprises: charge-discharge energy loss factor, charging performance efficiency, discharging performance efficiency, charging power upper limit value, discharging power upper limit value, individual installed capacity, storage energy level at the beginning of participating in operation scheduling, storage energy level at the end of participating in operation scheduling; and the load type resource individual model library comprises: actual electricity price of price-driven load type resource, actual demand of price-driven load type resource, basic demand of price-driven load type resource, price-driven influence factor, allowable time domain of price-driven load type resource individual acceptable price-driven, load demand baseline of subsidy incentive type load when not receiving subsidy incentive, actual demand of subsidy incentive type load, allowable time domain of subsidy incentive type load acceptable subsidy incentive.

[0009] Further, the power supply type resource information includes: power supply type resource first stage aggregation positive external power function mapping relationship, total power supply resource set when power supply type resource first stage aggregation, power supply type resource single body upward climbing rate, power supply type resource single body downward climbing rate, power supply type resource first stage aggregation external downward climbing rate function mapping relationship, power supply type resource number allowable lower limit value, power supply type resource single body start-stop number allowable upper limit in a dispatching operation cycle, power supply type resource single body upward rotating standby capacity, power supply type resource single body downward rotating standby capacity, power supply type resource first stage aggregation external upward adjustment capacity space function mapping relationship, and power supply type resource single body minimum start operation coefficient; the energy storage type resource information includes: energy storage type resource first stage aggregation external positive power function mapping relationship, total energy storage resource set when energy storage type resource first stage aggregation, total energy storage resource set when energy storage type resource first stage aggregation, energy storage level function mapping relationship when energy storage type resource first stage aggregation starts to participate in operation dispatching, energy storage level when energy storage type resource single body starts to participate in operation dispatching, energy level lower limit allowable coefficient in the operation process of energy storage type resource single body, energy storage type resource single body installed capacity, energy level upper limit value function mapping relationship after energy storage type resource first stage aggregation, and energy level upper limit allowable coefficient in the operation process of energy storage type resource single body; the load type resource information includes: price-driven load type resource first stage aggregation external negative power function mapping relationship, total resource set when price-driven load type resource first stage aggregation, actual external negative power after subsidy incentive type load type resource first stage aggregation, subsidy incentive type load type resource first stage aggregation external negative power function mapping relationship, and total resource set when subsidy incentive type load type resource first stage aggregation.

[0010] Further, the power supply type resource first stage aggregation external characteristic model includes: power supply type resource first stage aggregation external power characteristic model, power supply type resource first stage aggregation external climbing characteristic model, power supply type resource first stage aggregation external start-stop machine characteristic model, and power supply type resource first stage aggregation external adjustment space model; wherein, the power supply type resource first stage aggregation external power characteristic model expression is as follows: In the formula: is power supply type resource first stage aggregation external positive power at time t; is the power supply type resource first stage aggregation external positive power function mapping relationship; Ω I is the total power supply resource set when the power supply type resource first stage aggregation; is the output of the i th power supply type resource single body at time t; the power supply type resource first stage aggregation external climbing characteristic model expression is as follows: In the formula: The up ramp rate of the first-stage aggregated power supply resource to the outside world; The function mapping relationship of the up ramp rate of the first-stage aggregated power supply resource to the outside world; The up ramp rate of the i-th power supply resource unit; The down ramp rate of the first-stage aggregated power supply resource to the outside world; The function mapping relationship of the down ramp rate of the first-stage aggregated power supply resource to the outside world; The down ramp rate of the i-th power supply resource unit; Δt is the sampling step of the operation scheduling data of the power supply resource unit; The positive forward power of the first-stage aggregated power supply resource to the outside world at time t+1; the expression of the start-stop machine characteristic model of the first-stage aggregated power supply resource to the outside world is as follows: In the formula, The lower limit value of the number of running resources of the first-stage aggregated power supply resource at time t; The upper limit value of the number of running resources of the first-stage aggregated power supply resource at time t; The running state variable of the i-th power supply resource unit at time t; The running state variable of the i-th power supply resource unit at time t+1; T is the operation scheduling period; The upper limit of the start-stop times of the i-th power supply resource unit in the operation scheduling period of the first-stage aggregated power supply resource; the expression of the regulation space model of the first-stage aggregated power supply resource to the outside world is as follows: In the formula, The up regulation space of the first-stage aggregated power supply resource to the outside world; The function mapping relationship of the up regulation capacity space of the first-stage aggregated power supply resource to the outside world; The installed capacity of the i-th power supply resource unit; The up rotating reserve capacity of the i-th power supply resource unit at time t; The down regulation space of the first-stage aggregated power supply resource to the outside world; The down rotating reserve capacity of the i-th power supply resource unit at time t; β source,i The minimum start-up operation coefficient of the i-th power supply resource unit.

[0011] Further, the first-stage aggregated energy storage resource characteristic model comprises a first-stage aggregated energy storage resource charging and discharging capacity level model, a first-stage aggregated energy storage resource external charging and discharging power model and a first-stage aggregated energy storage resource operation capacity model; wherein the expression of the first-stage aggregated energy storage resource charging and discharging capacity level model is as follows: In the formula, is the energy storage level at time t after the first stage of aggregation of energy storage resources; The energy storage level at time t-1 after the first stage of aggregation of energy storage resources; The charging and discharging energy loss factor after the first stage of aggregation of energy storage resources; The negative power output of energy storage resources at time t after the first stage of aggregation. is the external forward power of the energy storage resource after the first stage of aggregation at time t; Δt is the sampling step of the single operation scheduling data of the power resource; the external charging and discharging power model expression of the energy storage resource in the first stage of aggregation is as follows: Where: Ω is the external forward power function mapping relationship after the first stage aggregation of the energy storage resources; M The total energy storage resource set of the external forward power during the first stage of aggregation of the energy storage resources; is the discharge power value of the mth energy storage resource unit at time t; The negative power output of energy storage resources at time t after the first stage of aggregation. Ω is the mapping relationship of the external negative power function after the first stage of aggregation of energy storage resources; N The total energy storage resource set with negative external power during the first stage of aggregation of the energy storage resources; is the discharge power value of the nth energy storage resource unit at time t; the first-stage aggregated operation capacity model expression of the energy storage resource is as follows: Where: The lower limit of the energy level after the first stage of aggregation of energy storage resources; The upper limit of the energy level of energy storage resources after the first stage of aggregation; The energy storage level at time t0 after the first stage of aggregation of energy storage resources when they start participating in operation scheduling; Ω is the functional mapping relationship of the energy storage level when the energy storage resources start to participate in operation scheduling after the first stage of aggregation; J It is the total energy storage resource set during the first stage of energy storage resource aggregation; is the energy storage level of the jth energy storage resource unit when it starts to participate in operation scheduling at time t0; The mapping relationship between the lower limit value function of the energy level after the first stage of aggregation of energy storage resources; is the lower limit allowable coefficient of the energy level during the operation of the j-th energy storage resource unit; is the installed capacity of the jth energy storage resource; A function mapping relationship of the upper limit value of the energy level of the energy storage resources after the first stage of aggregation; is the upper limit allowable coefficient of the energy level during the operation of the j-th energy storage resource unit.

[0012] Further, the first-stage aggregated external characteristic model of the load-type resource includes: a first-stage aggregated external characteristic model of a price-driven load-type resource and a first-stage aggregated external characteristic model of a subsidy-driven load-type resource; wherein the first-stage aggregated external characteristic model of the price-driven load-type resource is expressed as follows: In the formula, P is a first-stage aggregated actual external negative power of the price-driven load-type resource; P is a first-stage aggregated actual external negative power of the price-driven load-type resource; Ω is a first-stage aggregated external negative power function mapping relationship of the price-driven load-type resource; K Ω is a total resource set in the first-stage aggregation of the price-driven load-type resource; P is a power actual demand of the kth price-driven load-type resource at time t; the first-stage aggregated external characteristic model of the subsidy-driven load-type resource is expressed as follows: In the formula, P is a first-stage aggregated actual external negative power of the subsidy-driven load-type resource; P is a first-stage aggregated actual external negative power of the subsidy-driven load-type resource; Ω is a first-stage aggregated external negative power function mapping relationship of the subsidy-driven load-type resource; Q Ω is a total resource set in the first-stage aggregation of the subsidy-driven load-type resource; P is a power actual demand of the qth subsidy-driven load-type resource at time t.

[0013] Further, the second-stage aggregated external characteristic model of the virtual power plant includes: In the formula, P is a second-stage aggregated external power characteristic of the virtual power plant at time t; P is a first-stage aggregated external positive power of the power-type resource at time t; P is a first-stage aggregated external positive power of the power-type resource at time t; P is a first-stage aggregated external positive power of the energy storage-type resource at time t; P is a first-stage aggregated external negative power of the energy storage-type resource at time t; P is a first-stage aggregated actual external negative power of the price-driven load-type resource; P is a first-stage aggregated actual external negative power of the subsidy-driven load-type resource.

[0014] In a second aspect, the embodiments of the present application also provide a virtual power plant internal resource two-stage storage source load aggregation modeling system, comprising: a first acquisition module, a first construction module, a second construction module and a second construction module; wherein the first acquisition module is configured to acquire resource information of a target virtual power plant; the resource information comprises power supply type resource information, energy storage type resource information and load type resource information; the first construction module is configured to construct an internal storage source load resource monomer model library of the target virtual power plant based on the resource information; the second construction module is configured to construct a first-stage aggregated external characteristic model based on the resource information and the internal storage source load resource monomer model library; the first-stage aggregated external characteristic model comprises a power supply type resource first-stage aggregated external characteristic model, an energy storage type resource first-stage aggregated external characteristic model and a load type resource first-stage aggregated external characteristic model; and the second construction module is configured to construct a second-stage storage source load resource aggregated external characteristic model of the target virtual power plant based on the first-stage aggregated external characteristic model.

[0015] Further, the system further comprises a second acquisition module and a determination module; wherein the second acquisition module is configured to acquire a resource response priority; and the determination module is configured to determine external information of the target virtual power plant based on the resource response priority, the first-stage aggregated external characteristic model and the second-stage storage source load resource aggregated external characteristic model.

[0016] The present application provides a virtual power plant internal resource two-stage storage source load aggregation modeling method and system, which has the following technical effects compared with the prior art:

[0017] (1) The present application fully considers the monomer characteristics of the internal energy storage, power supply and load resources of the virtual power plant and the external power characteristics after aggregation, and the established storage source load aggregation model is more refined, which is helpful for the application promotion and resource aggregation analysis of the virtual power plant engineering;

[0018] (2) The present application proposes a two-stage aggregation strategy for the internal energy storage, power supply and load resources of the virtual power plant, the first-stage aggregation realizes the presentation of the external power characteristics of the energy storage, power supply and load resources, and the second-stage aggregation realizes the presentation of the overall external characteristics of the internal resources of the virtual power plant, which is beneficial for the panoramic macro-control and local point analysis of the virtual power plant by the operation personnel;

[0019] (3) The present application can provide reference and guidance for the internal resource fine-grained modeling, resource operation management, aggregation potential mining and participation in grid regulation capacity analysis of the virtual power plant.

[0020] The application alleviates the technical problem that the traditional virtual power plant internal resource aggregation modeling method fails to fully consider the individual characteristics of the internal energy storage, power supply and load resources of the virtual power plant and the external power characteristics after aggregation, so that the established aggregation model cannot effectively perform panoramic macro regulation and control and local point analysis on the virtual power plant. BRIEF DESCRIPTION OF DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the specific embodiments or prior art description will be briefly introduced. Obviously, the drawings in the following description are some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0022] Figure 1 A flow chart of a two-stage energy storage and load aggregation modeling method for internal resources of a virtual power plant is provided for the embodiments of the present application.

[0023] Figure 2 A schematic diagram of a two-stage energy storage and load aggregation modeling system for internal resources of a virtual power plant is provided for the embodiments of the present application. DETAILED DESCRIPTION

[0024] The technical solutions in the embodiments of the present application will be described clearly and completely with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0025] Embodiment one

[0026] Figure 1 A flow chart of a two-stage energy storage and load aggregation modeling method for internal resources of a virtual power plant is provided for the embodiments of the present application. As shown in Figure 1 the method specifically includes the following steps:

[0027] Step S102, obtaining resource information of a target virtual power plant; the resource information includes power supply type resource information, energy storage type resource information and load type resource information.

[0028] Specifically, the power resource information includes: a power resource first-stage aggregation positive power function mapping relationship, a total power resource set in the power resource first-stage aggregation, a power resource individual upward ramping rate, a power resource individual downward ramping rate, a power resource first-stage aggregation external downward ramping rate function mapping relationship, a power resource number lower limit value, a power resource individual start-stop number upper limit in a power resource individual dispatching operation period, a power resource individual upward rotating reserve capacity, a power resource individual downward rotating reserve capacity, a power resource first-stage aggregation external upward adjustment capacity space function mapping relationship, and a power resource individual minimum start operation coefficient.

[0029] The energy storage resource information includes: an energy storage resource first-stage aggregation external positive power function mapping relationship, a total energy storage resource set in the energy storage resource first-stage aggregation, a total energy storage resource set in the energy storage resource first-stage aggregation, an energy storage level function mapping relationship when the energy storage resource first-stage aggregation starts to participate in operation dispatching, an energy storage level when the energy storage resource individual starts to participate in operation dispatching, an energy level lower limit allowable coefficient in the energy storage resource individual operation process, an energy storage resource individual installed capacity, an energy level upper limit value function mapping relationship after the energy storage resource first-stage aggregation, and an energy level upper limit allowable coefficient in the energy storage resource individual operation process.

[0030] The load resource information includes: a price-driven load resource first-stage aggregation external negative power function mapping relationship, a total resource set in the price-driven load resource first-stage aggregation, an actual external negative power after the subsidy-driven load resource first-stage aggregation, a subsidy-driven load resource first-stage aggregation external negative power function mapping relationship, and a total resource set in the subsidy-driven load resource first-stage aggregation.

[0031] Preferably, the resource information of the target virtual power plant further includes internal resource public information, specifically including individual operation dispatching data sampling step and operation dispatching period.

[0032] In step S104, based on the resource information, an internal energy storage and load resource individual model library of the target virtual power plant is constructed.

[0033] In step S106, based on the resource information and the internal energy storage and load resource individual model library, a first-stage aggregation external feature model is constructed; the first-stage aggregation external feature model includes a power resource first-stage aggregation external feature model, an energy storage resource first-stage aggregation external feature model, and a load resource first-stage aggregation external feature model.

[0034] In step S108, the second-stage storage-source-load resource aggregation external feature model of the target virtual power plant is constructed based on the first-stage aggregation external feature model.

[0035] Preferably, as shown in the method provided by the embodiment of the application further comprises the following steps: Figure 1

[0036] In step S110, the resource response priority is acquired.

[0037] In step S112, the external information of the target virtual power plant is determined based on the resource response priority, the first-stage aggregation external feature model and the second-stage storage-source-load resource aggregation external feature model.

[0038] Specifically, the internal storage-source-load resource individual model library includes a power source type resource individual model library, a storage type resource individual model library and a load type resource individual model library; wherein,

[0039] The power source type resource individual model library includes a power source type resource generation type, an upward ramping rate, a downward ramping rate, an individual installed capacity, an operation cost, a minimum start operation coefficient, a start-stop constraint, a single start operation cost expense, a single stop operation cost expense, an upward rotating standby capacity and a downward rotating standby capacity.

[0040] The storage type resource individual model library includes a charge-discharge energy loss factor, a charging performance efficiency, a discharging performance efficiency, a charging power upper limit value, a discharging power upper limit value, an individual installed capacity, a storage energy level at the beginning of participating in operation scheduling and a storage energy level at the end of participating in operation scheduling.

[0041] The load type resource individual model library includes an actual electricity price of a price-driven load type resource, an actual demand amount of electricity of the price-driven load type resource, a basic demand amount of electricity of the price-driven load type resource, a price-driven influence factor, an allowable time domain of the price-driven load type resource that can accept price driving, a load demand baseline of a subsidy incentive type load resource when not receiving a subsidy incentive, an actual demand amount of electricity of the subsidy incentive type load resource, and an allowable time domain of the subsidy incentive type load resource that can accept a subsidy incentive.

[0042] Specifically, in the embodiment of the application, the power source type resource first-stage aggregation external feature model includes a power source type resource first-stage aggregation external power feature model, a power source type resource first-stage aggregation external ramping feature model, a power source type resource first-stage aggregation external start-stop machine feature model and a power source type resource first-stage aggregation external adjustment space model; wherein,

[0043] The power source type resource first-stage aggregation external power feature model is expressed as follows:

[0044] ​

[0045] In the formula: is the positive power of the first-stage aggregated power supply resource at time t; is the function mapping relationship of the positive power of the first-stage aggregated power supply resource; I is the total power supply resource set in the first-stage aggregation of the power supply resource; is the output of the i-th power supply resource at time t;

[0046] The expression of the external ramping feature model of the first-stage aggregated power supply resource is as follows:

[0047]

[0048] In the formula: is the upward ramping rate of the first-stage aggregated power supply resource; is the function mapping relationship of the upward ramping rate of the first-stage aggregated power supply resource; is the upward ramping rate of the i-th power supply resource; is the downward ramping rate of the first-stage aggregated power supply resource; is the function mapping relationship of the downward ramping rate of the first-stage aggregated power supply resource; is the downward ramping rate of the i-th power supply resource; Δt is the sampling step length of the operation and dispatching data of the power supply resource; is the positive power of the first-stage aggregated power supply resource at time t+1;

[0049] The expression of the external start-stop feature model of the first-stage aggregated power supply resource is as follows:

[0050]

[0051] In the formula: is the lower limit of the number of running resources of the first-stage aggregated power supply resource at time t; is the upper limit of the number of running resources of the first-stage aggregated power supply resource at time t; is the running state variable of the i-th power supply resource at time t, and the value is 1 when running and 0 when stopped; is the running state variable of the i-th power supply resource at time t+1, and the value is 0 when stopped; T is the operation and dispatching period; is the upper limit of the number of start-stop times of the i-th power supply resource in the dispatching and operation period of the first-stage aggregated power supply resource;

[0052] The expression of the external regulation space model of the first-stage aggregated power supply resource is as follows:

[0053]

[0054] In the formula: is the upward adjustment space of the first-stage aggregated power supply resource to the outside world; is a function mapping relationship of the upward adjustment capacity space of the first-stage aggregated power supply resource to the outside world; is the installed capacity of the i-th power supply resource unit; is the upward spinning reserve capacity of the i-th power supply resource unit at time t; is the downward adjustment space of the first-stage aggregated power supply resource to the outside world; is the downward spinning reserve capacity of the i-th power supply resource unit at time t; β source,i is the minimum starting operation coefficient of the i-th power supply resource unit.

[0055] Specifically, in the embodiment of the present application, the first-stage aggregated energy storage resource external characteristic model includes: a first-stage aggregated energy storage resource charge-discharge capacity level model, a first-stage aggregated energy storage resource external charge-discharge power model and a first-stage aggregated energy storage resource operation capacity model; wherein,

[0056] The first-stage aggregated energy storage resource charge-discharge capacity level model has the following expression:

[0057]

[0058] In the formula: is the energy storage level of the first-stage aggregated energy storage resource at time t; is the energy storage level of the first-stage aggregated energy storage resource at time t-1; is the charge-discharge energy loss factor of the first-stage aggregated energy storage resource; is the negative external power of the first-stage aggregated energy storage resource at time t; is the positive external power of the first-stage aggregated energy storage resource at time t; Δt is the operation scheduling data sampling step length of the power supply resource unit;

[0059] The first-stage aggregated energy storage resource external charge-discharge power model has the following expression:

[0060]

[0061] In the formula: is the positive external power function mapping relationship of the first-stage aggregated energy storage resource to the outside world; Ω M is the total energy storage resource set of the first-stage aggregated energy storage resource to the outside world; is the discharging power value of the m-th energy storage resource unit at time t; is the negative power of the first-stage aggregated energy storage resource at time t; is the mapping relationship of the negative power of the first-stage aggregated energy storage resource; N is the total energy storage resource set of the first-stage aggregated energy storage resource; is the discharging power value of the nth energy storage resource at time t;

[0062] The first-stage aggregated energy storage resource operation capacity model expression is as follows:

[0063]

[0064] In the formula, is the lower limit value of the energy level of the first-stage aggregated energy storage resource; is the upper limit value of the energy level of the first-stage aggregated energy storage resource; is the energy storage level of the first-stage aggregated energy storage resource at time t0 when participating in operation scheduling; is the energy storage level function mapping relationship of the first-stage aggregated energy storage resource when participating in operation scheduling; J is the total energy storage resource set of the first-stage aggregated energy storage resource; is the energy storage level of the jth energy storage resource at time t0 when participating in operation scheduling; is the lower limit value function mapping relationship of the energy level of the first-stage aggregated energy storage resource; is the lower limit allowable coefficient of the energy level of the jth energy storage resource in the operation process; is the installed capacity of the jth energy storage resource; is the upper limit value function mapping relationship of the energy level of the first-stage aggregated energy storage resource; is the upper limit allowable coefficient of the energy level of the jth energy storage resource in the operation process.

[0065] Specifically, in the embodiment of the present application, the first-stage aggregated load resource external characteristic model includes: a price-driven first-stage aggregated load resource external characteristic model and a subsidy-driven first-stage aggregated load resource external characteristic model; wherein,

[0066] The price-driven first-stage aggregated load resource external characteristic model expression is as follows:

[0067]

[0068] In the formula, is the actual negative power of the first-stage aggregated price-driven load resource; Ω is a mapping relationship of the first-stage aggregation of the price-driven load resource to the external negative power function; K Ω is a total resource set of the first-stage aggregation of the price-driven load resource; Ω is the actual power consumption demand of the kth price-driven load resource at time t;

[0069] The first-stage aggregation of the subsidy-driven load resource to the external characteristic model expression is as follows:

[0070]

[0071] In the formula, Ω is the actual external negative power of the first-stage aggregation of the subsidy-driven load resource; Ω is a mapping relationship of the first-stage aggregation of the subsidy-driven load resource to the external negative power function; Q Ω is a total resource set of the first-stage aggregation of the subsidy-driven load resource; Ω is the actual power consumption demand of the qth subsidy-driven load resource at time t.

[0072] Specifically, in the embodiment of the present application, the second-stage resource aggregation of the virtual power plant to the external characteristic model comprises:

[0073]

[0074] In the formula, Ω is the external power characteristic of the second-stage resource aggregation of the virtual power plant at time t; Ω is the external positive power of the first-stage aggregation of the power resource at time t; Ω is the external positive power of the first-stage aggregation of the energy storage resource at time t; Ω is the external negative power of the first-stage aggregation of the energy storage resource at time t; Ω is the actual external negative power of the first-stage aggregation of the price-driven load resource; Ω is the actual external negative power of the first-stage aggregation of the subsidy-driven load resource.

[0075] Specifically, in step S110, the resource response priority is first set, and then the set resource response priority is acquired. The resource response priority comprises a power resource response priority, an energy storage resource response priority, a load resource response priority, and a power, energy storage, and load resource response priority.

[0076] Specifically, the power resource response priority comprises the following three implementation modes.

[0077] Implementation mode 1: the lower the unit power generation cost of the power resource, the higher the set priority.

[0078] The faster the ramp rate of the power supply, the higher the priority set in embodiment 2.

[0079] The larger the adjustment range of the power supply, the higher the priority set in embodiment 3.

[0080] Specifically, the response priority of the energy storage type resource is set, including the following four embodiments.

[0081] The larger the energy storage level state expansion space, the higher the priority set in embodiment 1.

[0082] The lower the unit charge and discharge loss cost of the energy storage, the higher the priority set in embodiment 2.

[0083] The larger the unit time ramp rate of the energy storage, the higher the priority set in embodiment 3.

[0084] The larger the charge and discharge power of the energy storage, the higher the priority set in embodiment 4.

[0085] Specifically, the response priority of the load type resource is set, including the following three embodiments.

[0086] The higher the degree of direct control of the load, the higher the load priority set in embodiment 1.

[0087] The higher the executable degree of the load, the higher the load priority set in embodiment 2.

[0088] The lower the unit power response cost of the load, the higher the load priority set in embodiment 3.

[0089] Specifically, the response priority of the power supply, energy storage, and load type resources is set, including the following three embodiments.

[0090] The faster the resource response speed, the higher the priority set in embodiment 1.

[0091] The larger the resource adjustment range, the higher the priority set in embodiment 2.

[0092] The larger the resource installed capacity, the higher the priority set in embodiment 3.

[0093] The simpler the resource regulation, the higher the priority set in embodiment 4.

[0094] Specifically, the external information of the target virtual power plant determined in step S112 includes: the first-stage storage source load resource aggregated virtual power plant external information, the second-stage storage source load resource aggregated virtual power plant external information, the second-stage storage source load resource aggregation external information, and resource response priority order information.

[0095] Specifically, the first-stage power supply type resource aggregated virtual power plant external information includes the first-stage aggregated power supply type resource external power characteristics, the first-stage aggregated power supply type resource external ramping characteristics, the first-stage aggregated power supply type resource external start-stop machine characteristics, and the first-stage aggregated power supply type resource external regulation space.

[0096] The first-stage energy storage type resource aggregated virtual power plant external information includes the first-stage aggregated energy storage type resource charging and discharging capacity level and the first-stage aggregated energy storage type resource operation capacity.

[0097] The first-stage load type resource aggregated virtual power plant external information includes the first-stage aggregated price-driven load type resource external characteristics and the first-stage aggregated subsidy incentive load type resource external characteristics.

[0098] The second-stage storage-load resource aggregation external information is the external power characteristics of the second-stage resource aggregation of the internal resources of the virtual power plant.

[0099] The resource response priority order information includes the power supply type resource response priority order, the energy storage type resource response priority order, the load type resource response priority order, and the power supply, energy storage, and load type resource response priority order information.

[0100] As can be seen from the above description, the embodiment of the present application provides a two-stage storage-load aggregation modeling method for internal resources of a virtual power plant, and has the following technical effects compared with the prior art:

[0101] (1) The present application fully considers the single characteristics of the internal energy storage, power supply, and load resources of the virtual power plant and the external power characteristics after aggregation, and the established storage-load aggregation model is more refined, which is helpful for the engineering application promotion and resource aggregation analysis of the virtual power plant.

[0102] (2) The present application proposes a two-stage aggregation strategy for the internal energy storage, power supply, and load resources of the virtual power plant, the first-stage aggregation realizes the external power characteristics of the energy storage, power supply, and load resources, and the second-stage aggregation realizes the overall external characteristics of the internal resources of the virtual power plant, which is beneficial for the panoramic macro-control and local point analysis of the virtual power plant by the operation personnel.

[0103] (3) The present application can provide reference and guidance for the internal resource fine-grained modeling, resource operation management, aggregation potential mining, and participation in grid regulation capacity analysis of the virtual power plant.

[0104] The application alleviates the technical problem that the traditional virtual power plant internal resource aggregation modeling method fails to fully consider the individual characteristics of the internal energy storage, power supply and load resources of the virtual power plant and the external power characteristics after aggregation, so that the established aggregation model cannot effectively perform panoramic macro regulation and control and local point analysis on the virtual power plant.

[0105] Embodiment two

[0106] Figure 2 is a schematic diagram of a virtual power plant internal resource two-stage storage-load aggregation modeling system according to an embodiment of the application. As shown in the figure, the system comprises a first acquisition module 10, a first construction module 20, a second construction module 30 and a second construction module 40. Figure 2

[0107] Specifically, the first acquisition module 10 is configured to acquire resource information of a target virtual power plant, wherein the resource information comprises power supply resource information, energy storage resource information and load resource information.

[0108] Specifically, the power supply resource information comprises a power supply resource first-stage aggregation external positive power function mapping relationship, a total power supply resource set during power supply resource first-stage aggregation, a power supply resource individual upward ramping rate, a power supply resource individual downward ramping rate, a power supply resource first-stage aggregation external downward ramping rate function mapping relationship, a power supply resource number lower limit value, a power supply resource individual start-stop number upper limit in a dispatching operation cycle, a power supply resource individual upward rotating standby capacity, a power supply resource individual downward rotating standby capacity, a power supply resource first-stage aggregation external upward adjustment capacity space function mapping relationship and a power supply resource individual minimum start operation coefficient.

[0109] The energy storage resource information comprises an energy storage resource first-stage aggregation external positive power function mapping relationship, a total energy storage resource set during energy storage resource first-stage aggregation, a total energy storage resource set during energy storage resource first-stage aggregation, an energy storage level function mapping relationship when the energy storage resource first-stage aggregation starts to participate in operation dispatching, an energy storage level when the energy storage resource individual starts to participate in operation dispatching, an energy storage resource individual energy level lower limit allowable coefficient during operation, an energy storage resource individual installed capacity, an energy storage resource first-stage aggregation energy level upper limit value function mapping relationship and an energy storage resource individual energy level upper limit allowable coefficient during operation.

[0110] ​The load type resource information includes a first-stage aggregation of price-driven load type resource external negative power function mapping relationship, a total resource set at the first-stage aggregation of price-driven load type resource, actual external negative power of the first-stage aggregation of subsidy incentive type load type resource, first-stage aggregation of subsidy incentive type load type resource external negative power function mapping relationship, and a total resource set at the first-stage aggregation of subsidy incentive type load type resource.

[0111] Preferably, the resource information of the target virtual power plant further includes internal resource public information, specifically including single operation scheduling data sampling step and operation scheduling period.

[0112] The first construction module 20 is configured to construct an internal storage resource load resource single model library of the target virtual power plant based on the resource information.

[0113] Specifically, the internal storage resource load resource single model library includes a power supply type resource single model library, an energy storage type resource single model library, and a load type resource single model library.

[0114] The power supply type resource single model library includes power supply type resource generation type, upward ramping rate, downward ramping rate, single installed capacity, operation cost, minimum start-up operation coefficient, start-stop constraint, single start-up operation cost, single shutdown operation cost, upward rotating reserve capacity, and downward rotating reserve capacity.

[0115] The energy storage type resource single model library includes charge-discharge energy loss factor, charging performance efficiency, discharging performance efficiency, charge power upper limit value, discharge power upper limit value, single installed capacity, energy storage level at the beginning of participating in operation scheduling, and energy storage level at the end of participating in operation scheduling.

[0116] The load type resource single model library includes price-driven load type resource actual power price, price-driven load type resource actual demand, price-driven load type resource basic demand, price-driven influence factor, price-driven load type resource single acceptable price-driven allowable time domain, subsidy incentive type load type resource load demand baseline without subsidy incentive, subsidy incentive type load type resource actual demand, and subsidy incentive type load type resource acceptable subsidy incentive allowable time domain.

[0117] The second construction module 30 is configured to construct a first-stage aggregation external characteristic model based on the resource information and the internal storage resource load resource single model library. The first-stage aggregation external characteristic model includes a power supply type resource first-stage aggregation external characteristic model, an energy storage type resource first-stage aggregation external characteristic model, and a load type resource first-stage aggregation external characteristic model.

[0118] Specifically, in an embodiment of the present invention, the external characteristic model of the first-stage aggregation of power resources includes: an external power characteristic model after the first-stage aggregation of power resources, an external ramp characteristic model after the first-stage aggregation of power resources, an external start-stop characteristic model after the first-stage aggregation of power resources, and an external adjustment space model after the first-stage aggregation of power resources; wherein,

[0119] The external power characteristic model expression after the first stage of aggregation of power resources is as follows:

[0120]

[0121] Where: The external forward power of power resources at time t after the first stage of aggregation; The first phase of the aggregation of power resources is the external positive power function mapping relationship; Ω I It is the total power resource collection during the first phase of power resource aggregation; The i-th power resource unit is generating power externally at time t;

[0122] The external ramp-up characteristic model expression of power resources after the first stage of aggregation is as follows:

[0123]

[0124] Where: The external upward ramp rate of power resources after the first stage of aggregation; The mapping relationship of the first-stage aggregation of power resources to the external upward ramp rate function; is the upward ramp rate of the i-th power resource unit; The downward ramp rate of power resources after the first stage of aggregation; The mapping relationship of the downward ramp rate function for the first stage aggregation of power resources; is the downward ramp rate of the i-th power resource unit; Δt is the sampling step of the power resource unit operation scheduling data; The external forward power at time t+1 after the first stage of aggregation of power resources;

[0125] The expression of the external start-up and shutdown characteristic model after the first stage aggregation of power resources is as follows:

[0126]

[0127] Where: The lower limit of the number of running resources allowed at time t after the first stage of aggregation of power resources; The upper limit of the number of running resources allowed at time t after the first phase of aggregation of power resources; is the running state variable of the i-th power resource unit at time t, and is valued as 1 when running and 0 when stopping; is the running state variable of the i-th power resource unit at time t+1, and is valued as 0 when stopping; T is the running scheduling period; is the allowed upper limit of the start-stop times of the i-th power resource unit in the first-stage aggregated power resource within the scheduling running period;

[0128] The external adjustment space model expression of the first-stage aggregated power resource is as follows:

[0129]

[0130] In the formula, is the upward external adjustment space of the first-stage aggregated power resource; is the function mapping relationship of the upward external adjustment capacity space of the first-stage aggregated power resource; is the installed capacity of the i-th power resource unit; is the upward spinning reserve capacity of the i-th power resource unit at time t; is the downward external adjustment space of the first-stage aggregated power resource; is the downward spinning reserve capacity of the i-th power resource unit at time t; β source,i is the minimum start-up running coefficient of the i-th power resource unit.

[0131] Specifically, in the embodiment of the present application, the first-stage aggregated energy storage resource external characteristic model includes: a first-stage aggregated energy storage resource charge-discharge capacity level model, a first-stage aggregated energy storage resource external charge-discharge power model and a first-stage aggregated energy storage resource running capacity model; wherein,

[0132] The expression of the first-stage aggregated energy storage resource charge-discharge capacity level model is as follows:

[0133]

[0134] In the formula, is the energy storage level of the first-stage aggregated energy storage resource at time t; is the energy storage level of the first-stage aggregated energy storage resource at time t-1; is the charge-discharge energy loss factor of the first-stage aggregated energy storage resource; is the external negative power of the first-stage aggregated energy storage resource at time t; is the external positive power of the first-stage aggregated energy storage resource at time t; Δt is the running scheduling data sampling step of the power resource unit;

[0135] The expression of the first-stage aggregation of the energy storage resource to the external charging and discharging power model is as follows:

[0136]

[0137] In the formula, Ω is a positive power function mapping relationship of the first-stage aggregation of the energy storage resource to the outside; Ω M is a total energy storage resource set of the first-stage aggregation of the energy storage resource to the outside; is a discharge power value of the mth energy storage resource at time t; is a negative power of the first-stage aggregation of the energy storage resource to the outside at time t; is a negative power function mapping relationship of the first-stage aggregation of the energy storage resource to the outside; Ω N is a total energy storage resource set of the first-stage aggregation of the energy storage resource to the outside; is a discharge power value of the nth energy storage resource at time t;

[0138] The expression of the first-stage aggregation of the energy storage resource to the operation capacity model is as follows:

[0139]

[0140] In the formula, Ω is a lower limit value of the energy level after the first-stage aggregation of the energy storage resource; is an upper limit value of the energy level after the first-stage aggregation of the energy storage resource; is an energy level of the first-stage aggregation of the energy storage resource at time t0 when participating in the operation scheduling; is an energy level function mapping relationship of the first-stage aggregation of the energy storage resource when participating in the operation scheduling; Ω J is a total energy storage resource set of the first-stage aggregation of the energy storage resource; is an energy level of the jth energy storage resource at time t0 when participating in the operation scheduling; is a lower limit value function mapping relationship of the energy level after the first-stage aggregation of the energy storage resource; is a lower limit allowable coefficient of the energy level in the operation process of the jth energy storage resource; is a capacity of the jth energy storage resource; is an upper limit value function mapping relationship of the energy level after the first-stage aggregation of the energy storage resource; is an upper limit allowable coefficient of the energy level in the operation process of the jth energy storage resource.

[0141] Specifically, in the embodiment of the present invention, the first-stage aggregated external characteristic model of load resources includes: a price-driven first-stage aggregated external characteristic model of load resources and a subsidy incentive first-stage aggregated external characteristic model of load resources; wherein,

[0142] The first-stage aggregation external characteristic model expression of price-driven load resources is as follows:

[0143]

[0144] Where: It is the actual external negative power after the first stage of aggregation of price-driven load resources; The first-stage aggregation mapping relationship of the negative external power function for price-driven load resources; Ω K It is the total resource set of the first stage aggregation of price-driven load resources; is the actual electricity demand of the kth price-driven load resource unit at time t;

[0145] The first-stage aggregation external characteristic model expression of subsidy incentive load resources is as follows:

[0146]

[0147] Where: It is the actual external negative power after the first stage aggregation of subsidy incentive load resources; The mapping relationship of the first-stage aggregated external negative power function of price subsidy incentive load resources; Ω Q It is the total resource set of the first stage aggregation of subsidy incentive load resources; is the actual electricity demand of the qth subsidy incentive load resource unit at time t.

[0148] The second construction module 40 is used to construct a second-stage storage, source and load resource aggregation external characteristic model of the target virtual power plant based on the first-stage aggregation external characteristic model.

[0149] Specifically, in the embodiment of the present invention, the second stage storage, source and load resource aggregation external characteristic model includes:

[0150]

[0151] Where: is the external power characteristic of the virtual power plant at time t after the second stage of resource aggregation; The external forward power of power resources at time t after the first stage of aggregation; The external forward power of energy storage resources after the first stage of aggregation at time t; The actual negative power of the price-driven load resource aggregated in the first stage to the outside at time t; The actual negative power of the price-driven load resource aggregated in the first stage to the outside at time t; The actual negative power of the price-driven load resource aggregated in the first stage to the outside at time t.

[0152] Specifically, as shown in the figure, the system further includes a second acquisition module 50 and a determination module 60. Figure 2

[0153] Specifically, the second acquisition module 50 is configured to acquire the resource response priority.

[0154] The resource response priority includes power resource response priority, energy storage resource response priority, load resource response priority, and power resource, energy storage resource, and load resource response priority.

[0155] Specifically, the power resource response priority includes the following three implementation manners:

[0156] Implementation manner 1: The lower the unit power generation cost of the power resource, the higher the priority set;

[0157] Implementation manner 2: The faster the ramp rate of the power resource, the higher the priority set;

[0158] Implementation manner 3: The larger the adjustment range of the power resource, the higher the priority set;

[0159] Specifically, the energy storage resource response priority includes the following four implementation manners:

[0160] Implementation manner 1: The larger the expansion and contraction space of the energy storage energy storage level state, the higher the priority set;

[0161] Implementation manner 2: The lower the unit charge and discharge loss cost of the energy storage, the higher the priority set;

[0162] Implementation manner 3: The larger the ramp rate per unit time of the energy storage, the higher the priority set;

[0163] Implementation manner 4: The larger the charge and discharge power of the energy storage, the higher the priority set;

[0164] Specifically, the load resource response priority includes the following three implementation manners:

[0165] Implementation manner 1: The higher the degree of direct control of the load, the higher the load priority set;

[0166] Implementation manner 2: The higher the executable degree of the load, the higher the load priority set;

[0167] ​The lower the load unit power response cost is, the higher the set load priority is in embodiment 3.

[0168] Specifically, the response priority of the power supply, energy storage and load type resources is set, including the following three embodiments:

[0169] In embodiment 1, the faster the resource response speed is, the higher the set priority is;

[0170] In embodiment 2, the larger the resource adjustment range is, the higher the set priority is;

[0171] In embodiment 3, the larger the installed capacity of the resource is, the higher the set priority is;

[0172] In embodiment 4, the simpler the regulation of the resource is, the higher the set priority is.

[0173] The determining module 60 is configured to determine the external information of the target virtual power plant based on the resource response priority, the first-stage aggregated external characteristic model of the resources and the second-stage aggregated external characteristic model of the resources.

[0174] The external information of the target virtual power plant includes the first-stage aggregated virtual power plant external information, the second-stage aggregated virtual power plant external information, the second-stage aggregated external information of the resources, the resource response priority order information and the like.

[0175] Specifically, the first-stage aggregated virtual power plant external information includes the first-stage aggregated external power characteristic of the power supply type resources, the first-stage aggregated external ramping characteristic of the power supply type resources, the first-stage aggregated external start-stop machine characteristic of the power supply type resources, the first-stage aggregated external adjustment space of the power supply type resources and the like.

[0176] The first-stage aggregated virtual power plant external information of the energy storage type resources includes the first-stage aggregated charging and discharging capacity level of the energy storage type resources and the first-stage aggregated operating capacity of the energy storage type resources.

[0177] The first-stage aggregated virtual power plant external information of the load type resources includes the first-stage aggregated external characteristic of the price-driven load type resources and the first-stage aggregated external characteristic of the subsidy-incentive load type resources.

[0178] The second-stage aggregated external information of the resources is the external power characteristic of the second-stage aggregated resources in the virtual power plant.

[0179] The resource response priority order information includes the response priority order of the power supply type resources, the response priority order of the energy storage type resources, the response priority order of the load type resources and the response priority order information of the power supply, energy storage and load type resources.

[0180] It will be obvious to a person skilled in the art that the application is not limited to the details of the foregoing exemplary embodiments and can be implemented in other concrete forms without departing from the spirit or essential characteristics of the application. The embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference signs in the claims should not be construed as limiting the claims concerned.

[0181] Furthermore, it should be understood that although the description is made on the basis of the embodiments, not every embodiment contains only one independent technical solution, and the description is made in this way only for the sake of clarity, and a person skilled in the art should consider the description as a whole, and the technical solutions in each embodiment can also be combined appropriately to form other embodiments that can be understood by a person skilled in the art.

Claims

1. A two-stage storage, source and load aggregation modeling method for internal resources of a virtual power plant, characterized by: include: Obtain resource information of the target virtual power plant; the resource information includes power resource information, energy storage resource information, and load resource information; Based on the resource information, construct an internal storage, source and load resource monomer model library of the target virtual power plant; Based on the resource information and the internal storage, source and load resource monomer model library, a first-stage aggregated external feature model is constructed; the first-stage aggregated external feature model includes a first-stage aggregated external feature model of power resources, a first-stage aggregated external feature model of energy storage resources and a first-stage aggregated external feature model of load resources; Based on the first-stage aggregated external characteristic model, constructing the second-stage storage, source and load resource aggregated external characteristic model of the target virtual power plant; The internal storage, source and load resource monomer model library includes a power resource monomer model library, an energy storage resource monomer model library and a load resource monomer model library; wherein, The power resource monomer model library includes: power resource generation type, upward climbing rate, downward climbing rate, monomer installed capacity, operating cost, minimum startup operation coefficient, start-stop constraint, single startup operation cost, single shutdown operation cost, upward rotation reserve capacity, and downward rotation reserve capacity; The energy storage resource monomer model library includes: charging and discharging energy loss factor, charging performance efficiency, discharging performance efficiency, charging power upper limit, discharging power upper limit, monomer installed capacity, storage energy level when starting to participate in operation scheduling, and storage energy level when ending participation in operation scheduling; The load resource monomer model library includes: actual electricity price of price-driven load resource electricity, actual electricity demand of price-driven load resource electricity, basic electricity demand of price-driven load resource electricity, price-driven influencing factors, acceptable time domain of price-driven load resource monomer price-driven, load demand baseline of subsidy-incentive load resource when not receiving subsidy incentive, actual electricity demand of subsidy-incentive load resource, and acceptable time domain of subsidy-incentive load resource; The power resource information includes: a mapping relationship of the forward power function of the first-stage aggregation of power resources to the outside, a total power resource set during the first-stage aggregation of power resources, an upward climbing rate of a power resource unit, a downward climbing rate of a power resource unit, a mapping relationship of the downward climbing rate function of the first-stage aggregation of power resources to the outside, an allowable lower limit of the number of power resources, an allowable upper limit of the number of starts and stops within a scheduling operation cycle of a power resource unit, an upward rotation standby capacity of a power resource unit, a downward rotation standby capacity of a power resource unit, a mapping relationship of the upward adjustment capacity space function after the first-stage aggregation of power resources, and a minimum startup operation coefficient of a power resource unit. The energy storage resource information includes a mapping relationship between the external positive power function of the energy storage resources after the first stage of aggregation, a total set of energy storage resources with external positive power during the first stage of aggregation of the energy storage resources, a total set of energy storage resources with external negative power during the first stage of aggregation of the energy storage resources, a mapping relationship between the energy storage level functions when the energy storage resources start to participate in operation scheduling after the first stage of aggregation, the energy storage level of a single energy storage resource when it starts to participate in operation scheduling, a lower limit allowable coefficient of the energy level of a single energy storage resource during operation, a single installed capacity of the energy storage resource, a mapping relationship between the upper limit value of the energy level of the energy storage resource after the first stage of aggregation, and a upper limit allowable coefficient of the energy level of a single energy storage resource during operation; The load resource information includes the external negative power function mapping relationship of the first stage aggregation of price-driven load resources, the total resource set during the first stage aggregation of price-driven load resources, the actual external negative power after the first stage aggregation of subsidy incentive load resources, the external negative power function mapping relationship of the first stage aggregation of price subsidy incentive load resources, and the total resource set during the first stage aggregation of subsidy incentive load resources.

2. The method according to claim 1, wherein: Also includes: Get resource response priority; Based on the resource response priority, the first-stage aggregated external feature model and the second-stage storage-source-load resource aggregated external feature model, the external information of the target virtual power plant is determined.

3. The method according to claim 1, wherein: The external characteristic model of the first-stage aggregation of power resources includes: an external power characteristic model after the first-stage aggregation of power resources, an external ramp characteristic model after the first-stage aggregation of power resources, an external start-stop characteristic model after the first-stage aggregation of power resources, and an external regulation space model after the first-stage aggregation of power resources; wherein, The external power characteristic model expression after the first stage aggregation of the power resources is as follows: Where: The external forward power of power resources at time t after the first stage of aggregation; The first-stage aggregation external positive power function mapping relationship of the power resources; Ω I The total power resource set when the power resources are aggregated in the first phase; The i-th power resource unit is generating power externally at time t; The external ramp-up characteristic model expression of the power resources after the first stage of aggregation is as follows: Where: The external upward ramp rate of power resources after the first stage of aggregation; The mapping relationship of the first-stage aggregation of power resources to the external upward ramp rate function; is the upward ramp rate of the i-th power resource unit; The downward ramp rate of power resources after the first stage of aggregation; A mapping relationship of the downward ramp rate function for the first-stage aggregation of the power resources; is the downward ramp rate of the i-th power resource unit; Δt is the sampling step of the power resource unit operation scheduling data; The external forward power at time t+1 after the first stage of aggregation of power resources; The expression of the external start-stop feature model after the first-stage aggregation of power resources is as follows: Where: The lower limit of the number of running resources allowed at time t after the first stage of aggregation of power resources; The upper limit of the number of running resources allowed at time t after the first phase of aggregation of power resources; is the operating state variable of the i-th power resource unit at time t; is the operating state variable of the i-th power resource unit at time t+1; T is the operation scheduling period; The upper limit of the number of starts and stops allowed for the i-th power resource unit during the scheduling operation cycle after the first phase of power resource aggregation; The expression of the external regulation space model after the first stage aggregation of power resources is as follows: Where: It is the space for external upward adjustment after the first stage of aggregation of power resources; A mapping relationship of the capacity space function for upwardly adjusting the power resources after the first-stage aggregation; is the installed capacity of the i-th power resource unit; The upward rotation reserve capacity of the i-th power resource unit at time t; It provides downward adjustment space for power resources after the first stage of aggregation; is the downward rotation reserve capacity of the i-th power resource unit at time t; β source,i is the minimum startup coefficient of the i-th power resource unit.

4. The method according to claim 1, wherein: The first-stage aggregated external characteristic model of energy storage resources includes: the first-stage aggregated charge and discharge capacity level model of energy storage resources, the first-stage aggregated external charge and discharge power model of energy storage resources, and the first-stage aggregated operating capacity model of energy storage resources; wherein, The first-stage aggregated charge and discharge capacity level model expression of energy storage resources is as follows: Where: is the energy storage level at time t after the first stage of aggregation of energy storage resources; The energy storage level at time t-1 after the first stage of aggregation of energy storage resources; The charging and discharging energy loss factor after the first stage of aggregation of energy storage resources; The negative power output of energy storage resources at time t after the first stage of aggregation. is the external forward power of energy storage resources after the first stage of aggregation at time t; Δt is the sampling step of the single power resource operation scheduling data; The expression of the first-stage aggregated external charging and discharging power model of energy storage resources is as follows: Where: Ω is the external forward power function mapping relationship after the first stage aggregation of the energy storage resources; M The total energy storage resource set of the external forward power during the first stage of aggregation of the energy storage resources; is the discharge power value of the mth energy storage resource unit at time t; The negative power output of energy storage resources at time t after the first stage of aggregation. Ω is the mapping relationship of the external negative power function after the first stage of aggregation of energy storage resources; N The total energy storage resource set with negative external power during the first stage of aggregation of the energy storage resources; is the discharge power value of the nth energy storage resource unit at time t; The first-stage aggregated operating capacity model expression of energy storage resources is as follows: Where: The lower limit of the energy level after the first stage of aggregation of energy storage resources; The upper limit of the energy level of energy storage resources after the first stage of aggregation; The energy storage level at time t0 after the first stage of aggregation of energy storage resources when they start participating in operation scheduling; Ω is the functional mapping relationship of the energy storage level when the energy storage resources start to participate in operation scheduling after the first stage of aggregation; J It is the total energy storage resource set during the first stage of energy storage resource aggregation; is the energy storage level of the jth energy storage resource unit when it starts to participate in operation scheduling at time t0; The mapping relationship between the lower limit value function of the energy level after the first stage of aggregation of energy storage resources; is the lower limit allowable coefficient of the energy level during the operation of the j-th energy storage resource unit; is the installed capacity of the jth energy storage resource; A function mapping relationship of the upper limit value of the energy level of the energy storage resources after the first stage of aggregation; is the upper limit allowable coefficient of the energy level during the operation of the j-th energy storage resource unit.

5. The method according to claim 1, wherein: The first-stage aggregated external characteristic model of load resources includes: a price-driven first-stage aggregated external characteristic model of load resources and a subsidy incentive first-stage aggregated external characteristic model of load resources; wherein, The first-stage aggregation external characteristic model expression of the price-driven load resources is as follows: Where: It is the actual external negative power after the first stage of aggregation of price-driven load resources; The first-stage aggregation mapping relationship of the negative external power function for price-driven load resources; Ω K The total resource set of the price-driven load resources during the first phase of aggregation; is the actual electricity demand of the kth price-driven load resource unit at time t; The first-stage aggregation external characteristic model expression of the subsidy incentive load resources is as follows: Where: It is the actual external negative power after the first stage aggregation of subsidy incentive load resources; Ω is the mapping relationship of the first-stage aggregated external negative power function of the price subsidy incentive load resources; Q The total resource set of the subsidy incentive load resources during the first phase of aggregation; is the actual electricity demand of the qth subsidy incentive load resource unit at time t.

6. The method according to claim 1, wherein: The second phase of the storage, source and load resource aggregation external characteristic model includes: Where: is the external power characteristic of the virtual power plant at time t after the second stage of resource aggregation; The external forward power of power resources at time t after the first stage of aggregation; The external forward power of energy storage resources after the first stage of aggregation at time t; The negative power output of energy storage resources at time t after the first stage of aggregation. It is the actual external negative power after the first stage of aggregation of price-driven load resources; It is the actual external negative power after the first stage of aggregation of subsidy incentive load resources.

7. A two-stage storage, source and load aggregation modeling system for internal resources of a virtual power plant, characterized by: include: A first acquisition module, a first construction module, a second construction module and a second construction module; wherein, The first acquisition module is used to acquire resource information of the target virtual power plant; the resource information includes power resource information, energy storage resource information and load resource information; The first construction module is used to construct an internal storage, source and load resource monomer model library of the target virtual power plant based on the resource information; The second construction module is used to construct a first-stage aggregated external feature model based on the resource information and the internal storage-source-load resource monomer model library; the first-stage aggregated external feature model includes the first-stage aggregated external feature model of power resources, the first-stage aggregated external feature model of energy storage resources, and the first-stage aggregated external feature model of load resources; The second construction module is used to construct a second-stage storage, source and load resource aggregation external characteristic model of the target virtual power plant based on the first-stage aggregation external characteristic model; The internal storage, source and load resource monomer model library includes a power resource monomer model library, an energy storage resource monomer model library and a load resource monomer model library; wherein, The power resource monomer model library includes: power resource generation type, upward climbing rate, downward climbing rate, monomer installed capacity, operating cost, minimum startup operation coefficient, start-stop constraint, single startup operation cost, single shutdown operation cost, upward rotation reserve capacity, and downward rotation reserve capacity; The energy storage resource monomer model library includes: charging and discharging energy loss factor, charging performance efficiency, discharging performance efficiency, charging power upper limit, discharging power upper limit, monomer installed capacity, storage energy level when starting to participate in operation scheduling, and storage energy level when ending participation in operation scheduling; The load resource monomer model library includes: actual electricity price of price-driven load resource electricity, actual electricity demand of price-driven load resource electricity, basic electricity demand of price-driven load resource electricity, price-driven influencing factors, acceptable time domain of price-driven load resource monomer price-driven, load demand baseline of subsidy-incentive load resource when not receiving subsidy incentive, actual electricity demand of subsidy-incentive load resource, and acceptable time domain of subsidy-incentive load resource; The power resource information includes: a mapping relationship of the forward power function of the first-stage aggregation of power resources to the outside, a total power resource set during the first-stage aggregation of power resources, an upward climbing rate of a power resource unit, a downward climbing rate of a power resource unit, a mapping relationship of the downward climbing rate function of the first-stage aggregation of power resources to the outside, an allowable lower limit of the number of power resources, an allowable upper limit of the number of starts and stops within a scheduling operation cycle of a power resource unit, an upward rotation standby capacity of a power resource unit, a downward rotation standby capacity of a power resource unit, a mapping relationship of the upward adjustment capacity space function after the first-stage aggregation of power resources, and a minimum startup operation coefficient of a power resource unit. The energy storage resource information includes a mapping relationship between the external positive power function of the energy storage resources after the first stage of aggregation, a total set of energy storage resources with external positive power during the first stage of aggregation of the energy storage resources, a total set of energy storage resources with external negative power during the first stage of aggregation of the energy storage resources, a mapping relationship between the energy storage level functions when the energy storage resources start to participate in operation scheduling after the first stage of aggregation, the energy storage level of a single energy storage resource when it starts to participate in operation scheduling, a lower limit allowable coefficient of the energy level of a single energy storage resource during operation, a single installed capacity of the energy storage resource, a mapping relationship between the upper limit value of the energy level of the energy storage resource after the first stage of aggregation, and a upper limit allowable coefficient of the energy level of a single energy storage resource during operation; The load resource information includes the external negative power function mapping relationship of the first stage aggregation of price-driven load resources, the total resource set during the first stage aggregation of price-driven load resources, the actual external negative power after the first stage aggregation of subsidy incentive load resources, the external negative power function mapping relationship of the first stage aggregation of price subsidy incentive load resources, and the total resource set during the first stage aggregation of subsidy incentive load resources.

8. The system according to claim 7, characterized in that: Also includes: The second acquisition module and the determination module; wherein, The second acquisition module is used to obtain the resource response priority; The determination module is used to determine the external information of the target virtual power plant based on the resource response priority, the first-stage aggregated external feature model and the second-stage storage-source-load resource aggregated external feature model.

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