Method and device for calculating report quantity of auxiliary service participated by park users, and medium

Abstract

The invention discloses a report calculation method and device for auxiliary service participation of park users and a medium, and relates to the technical field of report boundary analysis and report calculation evaluation for auxiliary service participation of park users, virtual power plants and load aggregators. The method comprises the following steps: acquiring park source load data through a historical data and source load prediction two-class method; a quantity reporting boundary model of the park photovoltaic ice storage air-conditioning system is constructed, and the quantity reporting boundary of the park photovoltaic ice storage air-conditioning system participating in the valley filling auxiliary service market is clearly quantified; and proposing a report optimization strategy, solving the optimal declaration capacity through global optimization, and completing the calculation of the optimal report. According to the invention, the source load data information of the park is obtained through historical data or source load prediction, so that the collection of various kinds of source load information is facilitated, the collaborative optimization of the joint participation of various kinds of flexible resources in the market can be met, and the long-term participation of users in valley filling auxiliary services in the park is ensured.

Description

Technical Field

[0001] The present invention relates to the profit boundary analysis and reported volume revenue calculation and evaluation technology for park users, virtual power plants, and load aggregators participating in ancillary services, and specifically relates to a reported volume calculation method, device, and medium for park users to participate in ancillary services. Background Art

[0002] With the deepening of China's power market reform, the ancillary service market, as an important support for the stable operation of the power system, its market mechanism is becoming increasingly perfect. Among them, valley filling ancillary services effectively smooth the grid load curve and improve the operation efficiency and economy of the new power system by encouraging users to increase electricity consumption or reduce power generation during low-load periods. As an important electricity consumption entity, parks usually have flexible adjustable resources such as photovoltaic power generation and air conditioners, and have the potential to participate in the valley filling ancillary service market. The new power system's demand for flexible adjustable resources is also surging. However, in the actual participation process, the resources in the park are highly sensitive, and industrial and commercial park users face key decision-making problems such as "how to report the volume, how to continuously participate, how to improve the energy collaborative utilization and configuration ability and consumption level of park users, and how to maximize the utilization rate of park resources", lacking systematic and quantitative decision-making basis.

[0003] At present, domestic and foreign scholars have achieved some results in the ancillary service power market and user-side resource optimization, but there are still some problems: in terms of the ancillary service market mechanism, existing technologies mostly focus on the research of the overall macro ancillary service market mechanisms such as frequency modulation, peak regulation, and reserve, and relatively few studies on the profit analysis of resources participating in the valley filling ancillary service market; in terms of resource profit optimization, existing methods are mostly based on experience or local optimization, and fail to fully consider the dynamic coupling relationship between resource operation constraints, resource reported volume degree, and profit boundary, making it difficult to maximize the utilization rate of park resources; in terms of resource operation optimization, existing research has a certain foundation for the analysis of the operation characteristics of flexible resources such as energy storage and air conditioners, but mostly focuses on single resources or simple scenarios, lacking the collaborative optimization research on the joint participation of multiple types of flexible resources in the market. Summary of the Invention

[0004] The purpose of the present invention is to provide a reported volume calculation method, device, and medium for park users to participate in ancillary services, which realizes the hierarchical utilization of park resources and improves the energy collaborative utilization and configuration ability and consumption level of park users by depicting the reported volume boundary and resource conversion efficiency trend of industrial and commercial park resources at each moment.

[0005] To achieve the above purpose, the present invention is implemented by adopting the following technical solutions.

[0006] In the first aspect, the present invention provides a reported volume calculation method for park users to participate in ancillary services, including:

[0007] Obtain source and load data information for the park;

[0008] Based on the source and load data of the park, a boundary model for the reporting of the park's photovoltaic ice storage air conditioning system is constructed;

[0009] Based on the reporting boundary model of the photovoltaic ice storage air conditioning system in the park, the reporting is optimized through the reporting constraint domain to construct the optimal reporting strategy model;

[0010] Solve the optimal reporting strategy model. When the reporting strategy model has a solution, output the optimal reporting.

[0011] Optionally, the source load data information of the park can be obtained through historical data or source load prediction. The source load data information includes the park load, the output of the park's photovoltaic resources, the park's rated operating power, and the actual operating power of the chiller unit of the park's ice storage air conditioning system participating in the valley filling ancillary service market regulation.

[0012] Optionally, based on the historical data, source load data information of the park can be obtained by extrapolating from the same historical period or by comparing with similar historical days;

[0013] The expression for the historical contemporaneous extrapolation is:

[0014] (1)

[0015] In the formula: For the present Data used in real time; For the same period in history Historical data at any given moment; Adjust the time step size to use historical data from the same period;

[0016] The expression for the historical similarity day analogy is:

[0017] (2)

[0018] In the formula: For the present Data used in real time; For the same period in history Historical data at any given moment; Adjust the time step size to use historical data from the same period; For the present Time data fine-tuning correction value; To draw parallels to the starting point of similar historical dates; The total duration is compared with historically similar days.

[0019] Optionally, the source load data information of the park is obtained based on source load prediction, and the expression for source load prediction is:

[0020] (3)

[0021] In the formula: for The source load observation vector at time t; for The source load observation vector at time t; for The source load observation vector at time t; for Historical or predicted values ​​at any given time; To capture the non-zero mean characteristic of the sequence; For lag The autoregressive coefficient matrix is ​​used to capture the dynamic dependencies of the source load sequence and reflect the degree of contribution of historical data to the current value. For lag orders from 1 to The summation of, where The model lag order is determined from historical data using information criteria to ensure model fit. This represents the uncaptured random fluctuation error vector; for The source power reflects the output power on the power supply side. for The instantaneous load power reflects the output power on the load side. This is the long-term mean or baseline offset of the source sequence, used to adjust the baseline level of the sequence; It is the long-term mean or baseline offset of the load series, used to adjust the baseline level of the series; For the source sequence itself in lag The autoregressive coefficient at time reflects the influence of historical source values ​​on current source values; For the load sequence relative to the source sequence in lag The cross-regression coefficient at that time reflects the impact of historical load values ​​on the current source value; For the source sequence to the load sequence in lag The cross-regression coefficient at that time reflects the impact of historical source values ​​on current load values; For the load sequence itself in lag The autoregressive coefficient at that time reflects the impact of historical load values ​​on current load values; For the source sequence in time The random error term satisfies the characteristics of a white noise process with a mean of zero; For the load sequence in time The random error term satisfies the white noise process with a mean of zero.

[0022] Optionally, based on the source-load data information of the park, a boundary model for the reporting of the park's photovoltaic ice storage air conditioning system is constructed, including:

[0023] Based on the source and load data of the park, a photovoltaic resource model, an ice storage air conditioning system resource model, and a combined photovoltaic-ice storage air conditioning system resource model of the park are constructed respectively.

[0024] Based on the aforementioned photovoltaic resource model of the park, a quantitative boundary model of the photovoltaic resources of the park is constructed.

[0025] Based on the resource model of the ice storage air conditioning system in the park, a quantity boundary model of the ice storage air conditioning system resources in the park is constructed.

[0026] Based on the joint resource model of the photovoltaic-ice storage air conditioning system in the park, a quantitative boundary model of the joint resources of the photovoltaic-ice storage air conditioning system in the park is constructed.

[0027] Optionally, the expression for the photovoltaic resource model of the park is:

[0028] (4)

[0029] In the formula: for Net revenue from the participation of photovoltaic resources in the valley filling ancillary services market in the Shike Industrial Park; for The economic benefits of participating in valley-filling ancillary services market for photovoltaic resources in the industrial park; for The operating costs of photovoltaic resources in the industrial park participating in valley filling ancillary services market; for The photovoltaic resources in the industrial park should apply for market regulation capacity for valley filling ancillary services. for The photovoltaic resources of the industrial park will submit bids for participation in the valley-filling ancillary services market. for The electricity price for surplus photovoltaic power generated in the industrial park when sold to the grid; for The electricity price that the industrial park purchases from the power grid at any given time; for The park purchases electricity from the power grid at any time; for Real-time forecast of photovoltaic resource output in the industrial park; for Forecasted load in the park at any time; For time resolution;

[0030] Based on the aforementioned photovoltaic resource model of the park and the constraints of the park's photovoltaic resources, a quantity boundary model for the park's photovoltaic resources is constructed. The expression of the quantity boundary model for the park's photovoltaic resources is as follows:

[0031] (5)

[0032] In the formula: for Net revenue from the participation of photovoltaic resources in the valley filling ancillary services market in the Shike Industrial Park; for The economic benefits of participating in valley-filling ancillary services market for photovoltaic resources in the industrial park; for The operating costs of photovoltaic resources in the industrial park participating in valley filling ancillary services market; for The photovoltaic resources in the industrial park should apply for market regulation capacity for valley filling ancillary services. for The photovoltaic resources of the industrial park will submit bids for participation in the valley-filling ancillary services market. for The electricity price for surplus photovoltaic power generated in the industrial park when sold to the grid; for The electricity price that the industrial park purchases from the power grid at any given time; for Real-time forecast of photovoltaic resource output in the industrial park; for Predicted load for the industrial park at any time.

[0033] Optionally, the expression for the resource model of the park's ice storage air conditioning system is:

[0034] (6)

[0035] In the formula: for Net revenue from the participation of the park's ice storage and air conditioning system resources in the valley filling ancillary services market; for The park's ice storage and air conditioning system resources will participate in the market economic benefits of valley filling auxiliary services. for The operating costs of the ice storage and air conditioning system resources in the park participating in the valley filling ancillary services market; for The cost of electricity price difference in the market for ice storage and air conditioning systems in the industrial park to participate in valley filling ancillary services; for The ice storage and air conditioning system resources of the park participate in the valley filling auxiliary service market and the cost of ice tank storage; for The comprehensive depreciation cost of equipment in the park's ice storage air conditioning system participating in the valley filling auxiliary service market; for The park's ice storage and air conditioning system resources will participate in the valley filling auxiliary service market application for capacity adjustment. for The actual operating power of the refrigeration unit of the ice storage air conditioning system in the park participating in the valley filling auxiliary service market regulation; for The park's ice storage and air conditioning system resources will participate in the valley filling auxiliary service market bidding price; The off-peak electricity price for the park to purchase electricity from the grid at night; for The electricity price that the industrial park purchases from the power grid at any given time; Storage cost per unit of cold storage capacity for the park's ice storage air conditioning system; The coefficient of performance (COP) of the ice storage air conditioning system in the park; The power conversion factor between power and refrigeration tons; The comprehensive loss coefficient of the ice storage air conditioning system equipment in the park; For time resolution;

[0036] The actual operating power of the chiller unit of the ice storage air conditioning system in the park during the valley-filling ancillary services market response period is the rated operating power, and is equal to the declared capacity for participating in the valley-filling ancillary services market; the equivalent expression of the resource model of the ice storage air conditioning system in the park is:

[0037] (7)

[0038] In the formula: for Net revenue from the participation of the park's ice storage and air conditioning system resources in the valley filling ancillary services market; for The park's ice storage and air conditioning system resources will participate in the market economic benefits of valley filling auxiliary services. for The operating costs of the ice storage and air conditioning system resources in the park participating in the valley filling ancillary services market; for The park's ice storage and air conditioning system resources will participate in the valley filling auxiliary service market application for capacity adjustment. for The park's ice storage and air conditioning system resources will participate in the valley filling auxiliary service market bidding price; The off-peak electricity price for the park to purchase electricity from the grid at night; for The electricity price that the industrial park purchases from the power grid at any given time; Storage cost per unit of cold storage capacity for the park's ice storage air conditioning system; The coefficient of performance (COP) of the ice storage air conditioning system in the park; The power conversion factor between power and refrigeration tons; The comprehensive loss coefficient of the ice storage air conditioning system equipment in the park; For time resolution;

[0039] Based on the resource model of the park's ice storage air conditioning system and the resource constraints of the park's ice storage air conditioning system, a quantity boundary model of the park's ice storage air conditioning system resources is constructed; the expression of the quantity boundary model of the park's ice storage air conditioning system resources is:

[0040] (8)

[0041] In the formula: for Net revenue from the participation of the park's ice storage and air conditioning system resources in the valley filling ancillary services market; for The park's ice storage and air conditioning system resources will participate in the market economic benefits of valley filling auxiliary services. for The operating costs of the ice storage and air conditioning system resources in the park participating in the valley filling ancillary services market; for The park's ice storage and air conditioning system resources will participate in the valley filling auxiliary service market application for capacity adjustment. for The park's ice storage and air conditioning system resources will participate in the valley filling auxiliary service market bidding price; The off-peak electricity price for the park to purchase electricity from the grid at night; for The electricity price that the industrial park purchases from the power grid at any given time; Storage cost per unit of cold storage capacity for the park's ice storage air conditioning system; The coefficient of performance (COP) of the ice storage air conditioning system in the park; The power conversion factor between power and refrigeration tons; This is the comprehensive loss coefficient of the ice storage air conditioning system equipment in the park.

[0042] Optionally, the specific expression of the joint resource model of the park's photovoltaic-ice storage air conditioning system is as follows:

[0043] (9)

[0044] In the formula: for The net revenue from the joint participation of resources in the valley-filling ancillary services market for the photovoltaic-ice storage air conditioning system in the Shike Industrial Park. for The photovoltaic-ice storage air conditioning system in the industrial park will leverage resources to participate in the application for regulation capacity in the valley filling ancillary services market. for The photovoltaic-ice storage air conditioning system of the Shike Industrial Park will jointly submit a price application for valley-filling ancillary services market. for Net revenue from the participation of photovoltaic resources in the valley filling ancillary services market in the Shike Industrial Park; for The photovoltaic resources in the industrial park should apply for market regulation capacity for valley filling ancillary services. for The electricity price for surplus photovoltaic power generated in the industrial park when sold to the grid; for The electricity price that the industrial park purchases from the power grid at any given time; for Real-time forecast of photovoltaic resource output in the industrial park; for Forecasted load in the park at any time; for Net revenue from the participation of the park's ice storage and air conditioning system resources in the valley filling ancillary services market; for The park's ice storage and air conditioning system resources will participate in the valley filling auxiliary service market application for capacity adjustment. The off-peak electricity price for the park to purchase electricity from the grid at night; Storage cost per unit of cold storage capacity for the park's ice storage air conditioning system; The coefficient of performance (COP) of the ice storage air conditioning system in the park; The power conversion factor between power and refrigeration tons; The comprehensive loss coefficient of the ice storage air conditioning system equipment in the park; For time resolution;

[0045] Based on the joint resource model of the photovoltaic-ice storage air conditioning system in the park, and the constraints of the joint resource model, a quantity boundary model of the joint resource of the photovoltaic-ice storage air conditioning system in the park is constructed; the specific expression of the quantity boundary model of the joint resource of the photovoltaic-ice storage air conditioning system in the park is as follows:

[0046] (10)

[0047] In the formula: for The net revenue from the joint participation of resources in the valley-filling ancillary services market for the photovoltaic-ice storage air conditioning system in the Shike Industrial Park. for The photovoltaic-ice storage air conditioning system in the industrial park will leverage resources to participate in the application for regulation capacity in the valley filling ancillary services market. for The photovoltaic-ice storage air conditioning system of the Shike Industrial Park will jointly submit a price application for valley-filling ancillary services market. for The photovoltaic resources in the industrial park should apply for market regulation capacity for valley filling ancillary services. for The electricity price for surplus photovoltaic power generated in the industrial park when sold to the grid; for The electricity price that the industrial park purchases from the power grid at any given time; for Real-time forecast of photovoltaic resource output in the industrial park; for Forecasted load in the park at any time; for The park's ice storage and air conditioning system resources will participate in the valley filling auxiliary service market application for capacity adjustment. The off-peak electricity price for the park to purchase electricity from the grid at night; Storage cost per unit of cold storage capacity for the park's ice storage air conditioning system; The coefficient of performance (COP) of the ice storage air conditioning system in the park; The power conversion factor between power and refrigeration tons; The comprehensive loss coefficient of the ice storage air conditioning system equipment in the park; For time resolution.

[0048] Optionally, the expression for the optimal reporting strategy model is:

[0049] (11)

[0050] In the formula: for The net revenue from the joint participation of resources in the valley-filling ancillary services market for the photovoltaic-ice storage air conditioning system in the Shike Industrial Park. for The profit margin declaration price when the net revenue of the photovoltaic-ice storage air conditioning system in the park participating in valley filling ancillary services market is 0. for The photovoltaic-ice storage air conditioning system of the Shike Industrial Park will jointly submit a price application for valley-filling ancillary services market. The warning value for the market bid of the photovoltaic-ice storage air conditioning system in the park to participate in valley filling ancillary services is that the park can clear the bid price based on market forecasts. The upper limit of the market price for joint resources to participate in valley-filling ancillary services for the photovoltaic-ice storage air conditioning system in the industrial park; for The photovoltaic resources in the industrial park should apply for market regulation capacity for valley filling ancillary services. Error factor for predicting photovoltaic resources in the park; for Real-time forecast of photovoltaic resource output in the industrial park; for The park's ice storage and air conditioning system resources will participate in the valley filling auxiliary service market application for capacity adjustment. The installed capacity of the ice storage air conditioning system in the park.

[0051] Optionally, the optimal reporting strategy model is solved. When the optimal reporting strategy model has a solution, the optimal reporting volume and the maximum net profit are output, expressed as:

[0052] (12)

[0053] In the formula: for The net revenue from the joint participation of resources in the valley-filling ancillary services market for the photovoltaic-ice storage air conditioning system in the Shike Industrial Park. for The optimal value for the regulation capacity of photovoltaic resources in the industrial park to participate in the valley filling ancillary services market application; for The optimal value for the regulation capacity of the ice storage air conditioning system resources in the park to participate in the valley filling auxiliary service market application; for The photovoltaic-ice storage air conditioning system in the industrial park will jointly participate in the valley filling ancillary services market application for the optimal regulation capacity. for The optimal net return for the photovoltaic-ice storage air conditioning system in the Shike Industrial Park to participate in valley filling ancillary services market is achieved through joint resource allocation.

[0054] Secondly, the present invention provides a device for calculating the amount of data collected by park users participating in auxiliary services, comprising:

[0055] The source load data information acquisition module is used to acquire source load data information in the park.

[0056] The park reporting boundary module is used to determine the correlation between the park's photovoltaic resources and ice storage air conditioning system resources and the reported quantities based on the park's source and load data information.

[0057] The optimal reporting strategy module is used to output the optimal reporting quantity based on the correlation between the photovoltaic resources and ice storage air conditioning system resources in the park and the reporting quantity.

[0058] Thirdly, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method for calculating the amount of data collected by park users participating in auxiliary services as described in any of the first aspects above.

[0059] Compared with the prior art, the beneficial effects achieved by the present invention are as follows:

[0060] This invention, through the reported quantity boundary model of the photovoltaic ice storage air conditioning system in the industrial park, accurately depicts the time-by-time trend of resource utilization in industrial and commercial parks as reported quantity changes, ensuring that users in these parks can participate in valley-filling ancillary services in the long term. Simultaneously, by optimizing the reported quantity under reported quantity constraints to construct an optimal reported quantity strategy model, it improves the energy synergy utilization configuration capacity and absorption level of park users, thereby enhancing the operational efficiency of the new power system. This invention provides a quantitative basis for industrial park resource participation in the valley-filling ancillary services market.

[0061] This invention solves the optimal reporting strategy model by using a reporting revenue optimization strategy to output the optimal reporting quantity, thereby achieving accurate optimization of reporting quantity, fully utilizing park resources, assisting the power system in peak shaving and valley filling, and improving the park's resource utilization rate.

[0062] This invention acquires source load data through historical data and source load prediction, enhancing the ability to obtain source load data in complex industrial and commercial park environments. Different source load data acquisition methods are selected for different industrial and commercial parks, providing an accurate source load data foundation for the construction of the volume boundary model, enabling this invention to meet the collaborative optimization requirements of multiple resources jointly participating in the market.

[0063] This invention proposes a boundary model for reporting volume and a model for solving the optimal reporting volume strategy for users in industrial and commercial parks participating in the valley filling ancillary service market. Overall, it realizes the optimal point for users in the auxiliary park to choose the reporting volume to participate in valley filling ancillary services, judge resource utilization, and obtain the reporting volume and benefits when participating in the market. Attached Figure Description

[0064] Figure 1 This is a schematic diagram of the implementation process of the present invention;

[0065] Figure 2 This is a schematic diagram of the architecture of an embodiment of the present invention;

[0066] Figure 3 A graph showing the electricity load versus photovoltaic power generation in an industrial and commercial park.

[0067] Figure 4 This is a map showing electricity prices for industrial and commercial parks. Detailed Implementation

[0068] It should be noted that this invention focuses on the problem of capacity reporting boundary modeling and capacity reporting strategy optimization for industrial and commercial park users participating in the valley-filling ancillary services market. First, source-load data for the park is obtained through two methods: historical data and source-load prediction. Then, an analytical model of the profit boundary of the park's photovoltaic, ice storage, and air conditioning systems and their combined resources is constructed to derive the time-period capacity reporting boundary conditions and quantify resource utilization. Finally, a capacity reporting optimization strategy based on global optimization is proposed to obtain the optimal solution for declared capacity and resource utilization. This invention can provide a quantitative basis for industrial parks participating in the valley-filling ancillary services market.

[0069] The technical solution of the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the embodiments of the present invention and the specific features in the embodiments are detailed descriptions of the technical solution of the present invention, rather than limitations thereof. In the absence of conflict, the embodiments of the present invention and the technical features in the embodiments can be combined with each other.

[0070] The term "and / or" simply describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A alone, A and B simultaneously, or B alone. Additionally, the character " / " generally indicates that the preceding and following related objects have an "or" relationship.

[0071] Example 1

[0072] This embodiment describes a method for calculating the reporting volume of park users participating in ancillary services. The specific steps include:

[0073] Obtain source and load data information for the park; the source and load data information for the park includes the park load, the electricity price purchased from the grid by the park, the output of photovoltaic resources in the park, the rated operating power of the park, and the actual operating power of the chiller unit of the park's ice storage air conditioning system participating in the valley filling ancillary service market regulation.

[0074] Based on the source and load data of the park, a boundary model for the reporting of photovoltaic and ice storage air conditioning system resources in the park is constructed to confirm the correlation between various parameters of the park's photovoltaic resources and ice storage air conditioning system resources.

[0075] Based on the boundary model of the photovoltaic ice storage air conditioning system in the park, the reporting results are obtained through a reporting revenue optimization strategy. The reporting results are then analyzed, and the park system operation result data information is output. The specific steps include:

[0076] Based on the reported quantity boundary model of the photovoltaic ice storage air conditioning system in the industrial park, a net profit maximization strategy model is constructed by optimizing the reported quantity in the reported quantity constraint domain. The reported quantity constraint domain specifically includes the preset constraint conditions of resource utilization rate and the cost constraint conditions of the reported quantity in the industrial and commercial park.

[0077] The optimal reporting strategy model is solved. When the optimal reporting strategy model has a solution, the optimal reporting rate is obtained, and the park system operation result data information is output.

[0078] In summary, this embodiment, through the reporting boundary model of the park's photovoltaic ice storage air conditioning system, achieves an accurate depiction of the time-by-time trend of resource utilization in industrial and commercial parks as reported, improves the energy collaborative utilization configuration capability and absorption level of park users, and enhances the accuracy of the park's resources participating in the valley filling ancillary service market to maximize resource utilization.

[0079] Example 2

[0080] This embodiment provides a method for calculating the amount of data reported by park users participating in ancillary services, such as... Figure 1 As shown, it includes the following steps:

[0081] (1) Input the park system startup and operation parameter data information, i.e., the park source load data information to be processed;

[0082] Input the following data to start and run the park system: historical source data, historical load data, electricity price for surplus photovoltaic power sold to the grid at various times, electricity price for purchasing electricity from the grid at various times, time resolution, off-peak electricity price for purchasing electricity from the grid at night, electricity price for purchasing electricity from the grid at various times, storage cost per unit of cold storage capacity of the park's ice storage air conditioning system, coefficient of performance (COP) of the park's ice storage air conditioning system, power conversion coefficient to refrigeration tons, comprehensive loss coefficient of the ice storage air conditioning system equipment, rated operating power of the ice storage air conditioning system, warning value for the market bid for valley filling ancillary services by the park's photovoltaic-ice storage air conditioning system (i.e., the clearing bid price predicted by the park based on market forecasts), upper limit of the market bid for valley filling ancillary services by the park's photovoltaic-ice storage air conditioning system, error factor for predicted output of the park's photovoltaic resources, and installed capacity of the park's ice storage air conditioning system resources.

[0083] (2) Obtain source load data information of industrial and commercial parks, that is, obtain the processed input park system startup and operation parameter data information;

[0084] The acquisition of source and load data for industrial and commercial parks includes two categories: historical data acquisition and source and load prediction acquisition. Different data acquisition methods can be selected according to actual application needs.

[0085] The historical data acquisition includes two methods: historical contemporaneous projection and historical similar day analogy. In specific applications, one method should be selected for application.

[0086] The historical data acquisition method described above uses historical contemporaneous extrapolation to review and analyze historical events and validate models. Historical data is then used as current data. Utilizing the model and strategy of this invention, the advantages and effects of park users participating in the valley filling auxiliary service market are analyzed, demonstrating the rationality of the model and strategy. Simultaneously, users are encouraged to participate in the valley filling auxiliary service market for profit based on the model and strategy. The specific expression of the historical contemporaneous extrapolation model is as follows:

[0087]

[0088] In the formula: For the present Data used in real time; For the same period in history Historical data at any given moment; Adjust the time step size to use historical data from the same period;

[0089] The historical similar day analogy method described above predicts short- to medium-term source load data based on fine-tuned historical data. This is used for profitability analysis of short- to medium-term auxiliary services in industrial and commercial parks participating in valley filling. Historical similar day analogy is suitable for park users with stable and highly cyclical production operation patterns. For example, obtaining source load data from the National Day holiday in the past, fine-tuning and comparing it to the source load data for the National Day holiday in the current year; obtaining source load data from a specific weekend in a specific month of a specific year in the past, fine-tuning and comparing it to the source load data for the current weekend of the current month of the current year; or obtaining source load data for the next one or several working days based on data from the previous few working days, fine-tuning and comparing it to the source load data for the next few working days, etc. The specific expression of the historical similar day analogy model is as follows:

[0090]

[0091] In the formula: For the present Data used in real time; For the same period in history Historical data at any given moment; Adjust the time step size to use historical data from the same period; For the present Time data fine-tuning correction value; To draw parallels to the starting point of similar historical dates; The total duration is compared with historically similar days.

[0092] The source-load prediction acquisition methods include three categories: source prediction, load prediction, and simultaneous source-load prediction. Source prediction refers to predicting the source independently, load prediction refers to predicting the load independently, and simultaneous source-load prediction refers to jointly predicting the load from multiple sources. This invention proposes... When a first-order vector autoregressive model is used to simultaneously predict source loads, When there is no source data in the order vector autoregressive model, the model simplifies to load prediction; when When there is no load data in the first-order vector autoregressive model, the model simplifies to source prediction; the specific expression of the source-load simultaneous prediction model is:

[0093]

[0094] In the formula: for The source load observation vector at time t; for The source load observation vector at time t; for The source load observation vector at time t; for Historical or predicted values ​​at any given time; To capture the non-zero mean characteristic of the sequence; For lag The autoregressive coefficient matrix is ​​used to capture the dynamic dependencies of the source load sequence and reflect the degree of contribution of historical data to the current value. For lag orders from 1 to The summation of, where The model lag order is determined from historical data using information criteria to ensure model fit. This represents the uncaptured random fluctuation error vector; for The source power reflects the output power on the power supply side. for The instantaneous load power reflects the output power on the load side. This is the long-term mean or baseline offset of the source sequence, used to adjust the baseline level of the sequence; It is the long-term mean or baseline offset of the load series, used to adjust the baseline level of the series; For the source sequence itself in lag The autoregressive coefficient at time reflects the influence of historical source values ​​on current source values; For the load sequence relative to the source sequence in lag The cross-regression coefficient at that time reflects the impact of historical load values ​​on the current source value; For the source sequence to the load sequence in lag The cross-regression coefficient at that time reflects the impact of historical source values ​​on current load values; For the load sequence itself in lag The autoregressive coefficient at that time reflects the impact of historical load values ​​on current load values; For the source sequence in time The random error term satisfies the characteristics of a white noise process with a mean of zero; For the load sequence in time The random error term satisfies the white noise process with a mean of zero.

[0095] After obtaining the source load data, a boundary model for the reporting of the photovoltaic ice storage air conditioning system in the park is constructed.

[0096] Specifically, this includes: based on the source and load data of the park, constructing a photovoltaic resource model of the park, a resource model of the park's ice storage air conditioning system, and a joint resource model of the park's photovoltaic-ice storage air conditioning system;

[0097] Based on the aforementioned photovoltaic resource model of the park, a quantitative boundary model of the photovoltaic resources of the park is constructed.

[0098] Based on the resource model of the ice storage air conditioning system in the park, a quantity boundary model of the ice storage air conditioning system resources in the park is constructed.

[0099] Based on the aforementioned joint resource model of the photovoltaic-ice storage air conditioning system in the park, a quantity boundary model for the joint resources of the photovoltaic-ice storage air conditioning system in the park is constructed. In this embodiment, the quantity boundary model of the photovoltaic-ice storage air conditioning system in the park is described by a quantity boundary model.

[0100] (3) Construction of the reporting boundary model of photovoltaic resources in the park

[0101] The specific expression for the photovoltaic resource model of industrial and commercial parks, i.e., the flexible photovoltaic resource model of industrial and commercial parks, is as follows:

[0102]

[0103] In the formula: for Net revenue from the participation of photovoltaic resources in the valley filling ancillary services market in the Shike Industrial Park; for The economic benefits of participating in valley-filling ancillary services market for photovoltaic resources in the industrial park; for The operating costs of photovoltaic resources in the industrial park participating in valley filling ancillary services market; for The photovoltaic resources in the industrial park should apply for market regulation capacity for valley filling ancillary services. for The photovoltaic resources of the industrial park will submit bids for participation in the valley-filling ancillary services market. for The electricity price for surplus photovoltaic power generated in the industrial park when sold to the grid; for The electricity price that the industrial park purchases from the power grid at any given time; for The park purchases electricity from the power grid at any time; for Real-time forecast of photovoltaic resource output in the industrial park; for Forecasted load in the park at any time; For time resolution;

[0104] The reporting condition for flexible photovoltaic resources in industrial and commercial parks to participate in the valley-filling ancillary service market is that the park's energy cost is lower than the park's energy revenue. This ensures a positive incentive for the park's resources to participate in the valley-filling ancillary service market, so as to achieve the continuous operation of the park's energy as an ancillary service for the power system. That is, the specific expression of the reporting boundary model for the park's photovoltaic resources is:

[0105]

[0106] In the formula: for Net revenue from the participation of photovoltaic resources in the valley filling ancillary services market in the Shike Industrial Park; for The economic benefits of participating in valley-filling ancillary services market for photovoltaic resources in the industrial park; for The operating costs of photovoltaic resources in the industrial park participating in valley filling ancillary services market; for The photovoltaic resources in the industrial park should apply for market regulation capacity for valley filling ancillary services. for The photovoltaic resources of the industrial park will submit bids for participation in the valley-filling ancillary services market. for The electricity price for surplus photovoltaic power generated in the industrial park when sold to the grid; for The electricity price that the industrial park purchases from the power grid at any given time; for Real-time forecast of photovoltaic resource output in the industrial park; for Predicted load for the industrial park at any time.

[0107] (4) Quantity boundary model of ice storage air conditioning system resources in the park

[0108] The specific expression for the resource model of the ice storage air conditioning system in the industrial and commercial park, namely the flexible resource ice storage air conditioning system resource model, is as follows:

[0109]

[0110] In the formula: for Net revenue from the participation of the park's ice storage and air conditioning system resources in the valley filling ancillary services market; for The park's ice storage and air conditioning system resources will participate in the market economic benefits of valley filling auxiliary services. for The operating costs of the ice storage and air conditioning system resources in the park participating in the valley filling ancillary services market; for The cost of electricity price difference in the market for ice storage and air conditioning systems in the industrial park to participate in valley filling ancillary services; for The ice storage and air conditioning system resources of the park participate in the valley filling auxiliary service market and the cost of ice tank storage; for The comprehensive depreciation cost of equipment in the park's ice storage air conditioning system participating in the valley filling auxiliary service market; for The park's ice storage and air conditioning system resources will participate in the valley filling auxiliary service market application for capacity adjustment. for The actual operating power of the refrigeration unit of the ice storage air conditioning system in the park participating in the valley filling auxiliary service market regulation; for The park's ice storage and air conditioning system resources will participate in the valley filling auxiliary service market bidding price; The off-peak electricity price for the park to purchase electricity from the grid at night; for The electricity price that the industrial park purchases from the power grid at any given time; Storage cost per unit of cold storage capacity for the park's ice storage air conditioning system; The coefficient of performance (COP) of the ice storage air conditioning system in the park; The power conversion factor between power and refrigeration tons; The comprehensive loss coefficient of the ice storage air conditioning system equipment in the park; For time resolution;

[0111] The actual operating power of the chiller unit of the ice storage air conditioning system in the park during the valley filling ancillary service market response period was [missing information]. This is considered as the rated operating power, and is related to the capacity declared for participation in the valley filling ancillary services market. Since they are corresponding and equal, the above equation is equivalent to:

[0112]

[0113] In the formula: for Net revenue from the participation of the park's ice storage and air conditioning system resources in the valley filling ancillary services market; for The park's ice storage and air conditioning system resources will participate in the market economic benefits of valley filling auxiliary services. for The operating costs of the ice storage and air conditioning system resources in the park participating in the valley filling ancillary services market; for The park's ice storage and air conditioning system resources will participate in the valley filling auxiliary service market application for capacity adjustment. for The park's ice storage and air conditioning system resources will participate in the valley filling auxiliary service market bidding price; The off-peak electricity price for the park to purchase electricity from the grid at night; for The electricity price that the industrial park purchases from the power grid at any given time; Storage cost per unit of cold storage capacity for the park's ice storage air conditioning system; The coefficient of performance (COP) of the ice storage air conditioning system in the park; The power conversion factor between power and refrigeration tons; The comprehensive loss coefficient of the ice storage air conditioning system equipment in the park; For time resolution;

[0114] The reporting condition for the flexible resource ice storage air conditioning system of the industrial and commercial park to participate in the valley-filling ancillary service market is that the park's energy cost is lower than the energy revenue to ensure the positive incentive operation of the park's resources to participate in the valley-filling ancillary service market, so as to realize the continuous operation of the park's energy to provide valley-filling ancillary services for the power system. That is, the specific expression of the reporting boundary model of the park's ice storage air conditioning system resources is as follows:

[0115]

[0116] In the formula: for Net revenue from the participation of the park's ice storage and air conditioning system resources in the valley filling ancillary services market; for The park's ice storage and air conditioning system resources will participate in the market economic benefits of valley filling auxiliary services. for The operating costs of the ice storage and air conditioning system resources in the park participating in the valley filling ancillary services market; for The park's ice storage and air conditioning system resources will participate in the valley filling auxiliary service market application for capacity adjustment. for The park's ice storage and air conditioning system resources will participate in the valley filling auxiliary service market bidding price; The off-peak electricity price for the park to purchase electricity from the grid at night; for The electricity price that the industrial park purchases from the power grid at any given time; Storage cost per unit of cold storage capacity for the park's ice storage air conditioning system; The coefficient of performance (COP) of the ice storage air conditioning system in the park; The power conversion factor between power and refrigeration tons; This is the comprehensive loss coefficient of the ice storage air conditioning system equipment in the park.

[0117] (5) Construction of the quantitative boundary model for the combined resources of the photovoltaic-ice storage air conditioning system in the park

[0118] The specific expression for the joint resource model of the photovoltaic-ice storage air conditioning system in the industrial and commercial park, namely the flexible resource photovoltaic-ice storage air conditioning system joint resource model for the industrial and commercial park, is as follows:

[0119]

[0120] In the formula: for The net revenue from the joint participation of resources in the valley-filling ancillary services market for the photovoltaic-ice storage air conditioning system in the Shike Industrial Park. for The photovoltaic-ice storage air conditioning system in the industrial park will leverage resources to participate in the application for regulation capacity in the valley filling ancillary services market. for The photovoltaic-ice storage air conditioning system of the Shike Industrial Park will jointly submit a price application for valley-filling ancillary services market. for Net revenue from the participation of photovoltaic resources in the valley filling ancillary services market in the Shike Industrial Park; for The photovoltaic resources in the industrial park should apply for market regulation capacity for valley filling ancillary services. for The electricity price for surplus photovoltaic power generated in the industrial park when sold to the grid; for The electricity price that the industrial park purchases from the power grid at any given time; for Real-time forecast of photovoltaic resource output in the industrial park; for Forecasted load in the park at any time; for Net revenue from the participation of the park's ice storage and air conditioning system resources in the valley filling ancillary services market; for The park's ice storage and air conditioning system resources will participate in the valley filling auxiliary service market application for capacity adjustment. The off-peak electricity price for the park to purchase electricity from the grid at night; Storage cost per unit of cold storage capacity for the park's ice storage air conditioning system; The coefficient of performance (COP) of the ice storage air conditioning system in the park; The power conversion factor between power and refrigeration tons; The comprehensive loss coefficient of the ice storage air conditioning system equipment in the park; For time resolution;

[0121] The reporting condition for the joint resources of the flexible resource photovoltaic-ice storage air conditioning system in the industrial and commercial park to participate in the valley-filling ancillary service market is that the net income of the park is positive under the target of the park users' energy synergistic utilization configuration capacity and absorption level. This ensures the positive incentive operation of the park's resources participating in the valley-filling ancillary service market, so as to realize the continuous operation of the park's energy as an ancillary service for the power system. The specific expression of the reporting boundary model of the joint resources of the park's photovoltaic-ice storage air conditioning system is as follows:

[0122]

[0123] In the formula: for The net revenue from the joint participation of resources in the valley-filling ancillary services market for the photovoltaic-ice storage air conditioning system in the Shike Industrial Park. for The photovoltaic-ice storage air conditioning system in the industrial park will leverage resources to participate in the application for regulation capacity in the valley filling ancillary services market. for The photovoltaic-ice storage air conditioning system of the Shike Industrial Park will jointly submit a price application for valley-filling ancillary services market. for The photovoltaic resources in the industrial park should apply for market regulation capacity for valley filling ancillary services. for The electricity price for surplus photovoltaic power generated in the industrial park when sold to the grid; for The electricity price that the industrial park purchases from the power grid at any given time; for Real-time forecast of photovoltaic resource output in the industrial park; for Forecasted load in the park at any time; for The park's ice storage and air conditioning system resources will participate in the valley filling auxiliary service market application for capacity adjustment. The off-peak electricity price for the park to purchase electricity from the grid at night; Storage cost per unit of cold storage capacity for the park's ice storage air conditioning system; The coefficient of performance (COP) of the ice storage air conditioning system in the park; The power conversion factor between power and refrigeration tons; The comprehensive loss coefficient of the ice storage air conditioning system equipment in the park; For time resolution.

[0124] (6) Proposed strategy for optimizing revenue from reported volume

[0125] The boundary condition for the quotation of the flexible resource photovoltaic-ice storage air conditioning system in the industrial and commercial park participating in the valley-filling ancillary service market is that the net revenue is 0 when the park's energy is fully utilized. The process of optimizing quotation revenue is to optimize quotation under the bidding warning value, optimize the configuration capacity and absorption level of energy synergy of park users, and improve net revenue. The specific expression of the optimal quotation strategy model is:

[0126]

[0127] In the formula: for The net revenue from the joint participation of resources in the valley-filling ancillary services market for the photovoltaic-ice storage air conditioning system in the Shike Industrial Park. for The profit margin declaration price when the net revenue of the photovoltaic-ice storage air conditioning system in the park participating in valley filling ancillary services market is 0. for The photovoltaic-ice storage air conditioning system of the Shike Industrial Park will jointly submit a price application for valley-filling ancillary services market. The warning value for the market bid of the photovoltaic-ice storage air conditioning system in the park to participate in valley filling ancillary services is that the park can clear the bid price based on market forecasts. The upper limit of the market price for joint resources to participate in valley-filling ancillary services for the photovoltaic-ice storage air conditioning system in the industrial park; for The photovoltaic resources in the industrial park should apply for market regulation capacity for valley filling ancillary services. Error factor for predicting photovoltaic resources in the park; for Real-time forecast of photovoltaic resource output in the industrial park; for The park's ice storage and air conditioning system resources will participate in the valley filling auxiliary service market application for capacity adjustment. The installed capacity of the park's ice storage air conditioning system;

[0128] The optimal reporting strategy model is an optimization model. When the optimization model has a solution, it outputs the optimal reporting volume and the maximized net profit. When the optimization model has no solution, it indicates that participation in the valley filling auxiliary service market cannot be sustained at that moment, therefore, it is not recommended to submit a report for participation at that moment. The specific expression of the output model of the reporting volume and profit optimization strategy is as follows:

[0129]

[0130] In the formula: for The net revenue from the joint participation of resources in the valley-filling ancillary services market for the photovoltaic-ice storage air conditioning system in the Shike Industrial Park. for The optimal value for the regulation capacity of photovoltaic resources in the industrial park to participate in the valley filling ancillary services market application; for The optimal value for the regulation capacity of the ice storage air conditioning system resources in the park to participate in the valley filling auxiliary service market application; for The photovoltaic-ice storage air conditioning system in the industrial park will jointly participate in the valley filling ancillary services market application for the optimal regulation capacity. for The optimal net return for the photovoltaic-ice storage air conditioning system in the Shike Industrial Park to participate in valley filling ancillary services market is achieved through joint resource allocation.

[0131] (7) Output the system operation results data of the park.

[0132] Output the park system operation results data, including source forecasting results, load forecasting results, net revenue of park photovoltaic resources participating in valley-filling ancillary services market at each time point, economic revenue of park photovoltaic resources participating in valley-filling ancillary services market at each time point, operating cost of park photovoltaic resources participating in valley-filling ancillary services market at each time point, application for regulation capacity of park photovoltaic resources participating in valley-filling ancillary services market at each time point, net revenue of park ice storage and air conditioning system resources participating in valley-filling ancillary services market at each time point, economic revenue of park ice storage and air conditioning system resources participating in valley-filling ancillary services market at each time point, operating cost of park ice storage and air conditioning system resources participating in valley-filling ancillary services market at each time point, electricity price difference cost of park ice storage and air conditioning system resources participating in valley-filling ancillary services market at each time point, ice tank storage cost of park ice storage and air conditioning system resources participating in valley-filling ancillary services market at each time point, comprehensive equipment loss cost of park ice storage and air conditioning system resources participating in valley-filling ancillary services market at each time point, and the overall park system operation results data at each time point. The data includes: the declared regulation capacity of ice storage air conditioning system resources participating in the valley-filling ancillary service market; the actual operating power of the chiller units of the park's ice storage air conditioning system resources participating in the valley-filling ancillary service market at various times; the net income of the park's photovoltaic-ice storage air conditioning system joint resources participating in the valley-filling ancillary service market at various times; the declared regulation capacity of the park's photovoltaic-ice storage air conditioning system joint resources participating in the valley-filling ancillary service market at various times; the declared price of the park's photovoltaic-ice storage air conditioning system joint resources participating in the valley-filling ancillary service market at various times; the optimal value of the declared regulation capacity of the park's photovoltaic resources participating in the valley-filling ancillary service market at various times; the optimal value of the declared regulation capacity of the park's ice storage air conditioning system resources participating in the valley-filling ancillary service market at various times; the recommendation on whether to apply; the optimal value of the declared regulation capacity of the park's photovoltaic-ice storage air conditioning system joint resources participating in the valley-filling ancillary service market at various times; and the optimal value of the net income of the park's photovoltaic-ice storage air conditioning system joint resources participating in the valley-filling ancillary service market at various times.

[0133] This embodiment uses a user group in an industrial and commercial park as a case study to analyze the volume boundary model and revenue strategy for users participating in the valley-filling ancillary services market. The renewable photovoltaic resources of this industrial and commercial park user are existing renewable energy projects, operating under a "self-consumption with surplus power fed into the grid" mode, with an installed photovoltaic capacity of 1.4 MW. The specific implementation process of this embodiment is as follows: Figure 1 As shown, the architecture of this invention embodiment is as follows: Figure 2 As shown. Figure 2 This includes non-flexible resources such as photovoltaic resources, ice storage air conditioning systems, and production lines. The park is interconnected with the power grid via a grid connection point. Figure 2 The architecture shown, along with the model and strategy proposed in this invention, verifies the rationality and accuracy of the reporting boundary model and reporting strategy for industrial and commercial park users participating in the valley-filling ancillary services market, thereby improving resource utilization. Using the actual photovoltaic power generation and electricity load data from a specific day during the May Day holiday in the park's history as source-load prediction data, the electricity load-photovoltaic power generation curve for the industrial and commercial park is shown below. Figure 3 As shown, in order to make full use of the park's resources and improve the park's resource utilization rate, combined with Figure 3 The content shown seeks the optimal reporting quantity of photovoltaic resources and ice storage air conditioning resources.

[0134] The storage cost per unit of cold storage capacity of the ice storage air conditioning system in the park is 0.02 yuan / RT·H, the coefficient of performance (COP) of the ice storage air conditioning system in the park is 5.06, the comprehensive loss coefficient of the ice storage air conditioning system equipment in the park is 0.1 yuan / kWh, the time resolution is 15 minutes, the warning value for the market bidding of the photovoltaic-ice storage air conditioning system participating in valley filling ancillary services in the park, that is, the market-predicted clearing bid price of the park is 0.6 yuan / kWh, and the market bidding price of the photovoltaic-ice storage air conditioning system participating in valley filling ancillary services in the park is the same as the market-predicted clearing bid price of the park, and the upper limit of the market bidding price of the photovoltaic-ice storage air conditioning system participating in valley filling ancillary services in the park is 1.2 yuan / kWh.

[0135] The park's ice storage air conditioning system provides cooling in the summer, consisting of five chiller units: three 659 kW centrifugal chillers and two 251 kW screw chillers as backup. These chillers are only activated during maintenance, malfunctions, or extreme heat events involving the centrifugal chillers. All chillers have a coefficient of performance (COP) of 5.06. The daily operation mode primarily involves the three centrifugal chillers storing ice during off-peak hours at night and melting ice for cooling during the day. During normal and peak electricity pricing periods, all five chillers are shut down, and the ice storage tanks melt ice for cooling. When considering participating in the valley-filling ancillary services market for the park's ice storage air conditioning system, the three centrifugal chillers will be the primary focus, with the two screw chillers only used during maintenance, malfunctions, or extreme heat events involving the centrifugal chillers.

[0136] like Figure 4 As shown, the grid electricity price varies at different times, namely peak price, off-peak price, and flat price. The relationship between photovoltaic resource utilization and electricity supply is analyzed using 7:00, 9:00, 12:00, and 15:00 as typical times. Figure 3 As shown, photovoltaic resources fluctuate greatly throughout the day due to the influence of sunlight duration. In order to make full use of the park's resources and select the optimal reporting quantity, it is necessary to solve the reporting quantity boundary model and the optimal reporting quantity strategy model, thereby improving the park's resource utilization rate.

[0137] At 7:00 AM, the electricity price for the park is at its off-peak level, and the photovoltaic output is relatively low. Figure 3 It is evident that photovoltaic power generation can be fully absorbed by the industrial park, and the calculated threshold value for application is relatively low. As long as the applied photovoltaic capacity exceeds the park's resource costs, long-term operation of valley-filling ancillary services for industrial and commercial park users is possible. Provided the application price for valley-filling ancillary services in the park does not exceed the application warning line, the larger the applied capacity, the greater the net benefit. The optimal application volume is calculated using an optimal application volume strategy model to maximize resource utilization and improve user benefits.

[0138] Combined at 9 a.m. Figure 3 It is known that there is surplus photovoltaic power fed into the grid. In this case, the resource revenue of the park exceeds the resource cost if the reporting constraints are met, thus creating a positive incentive for park users to participate in valley filling services. By calculating the photovoltaic resource reporting capacity through the optimal reporting strategy model, the positive incentive is maximized. At this point, the park's resources are fully utilized, and the maximum net revenue is obtained.

[0139] At noon Figure 3 As shown, the photovoltaic power generation capacity is the strongest and there is surplus photovoltaic power fed into the grid. The price curves of the reporting declaration boundary are all below the reporting warning line value, and the park users obtain income, realizing a positive incentive for valley filling services. Profitability can be achieved for photovoltaic resource reporting capacity at any value between 0 kW and the maximum value. Through the optimal reporting strategy model, the optimal reporting capacity can be achieved. Under the optimal reporting capacity, the energy synergy utilization configuration capacity and absorption level of park users are improved, and the profit can be maximized.

[0140] The relationship between photovoltaic resource reporting volume and net income at 3 PM is very similar to that at 12 PM. At this time, there are more photovoltaic resources that need to be consumed, and the power generation has the characteristic of surplus electricity being fed into the grid. This can realize the energy synergy utilization configuration capacity and consumption level of users in the park, and can also generate income.

[0141] During off-peak electricity pricing at 7:00 AM, if the declared price does not exceed the declared warning line, for the same declared capacity, a higher declared price results in higher net revenue; similarly, for the same declared price, a higher declared capacity also results in higher net revenue. During off-peak electricity pricing, net revenue is positively correlated with the declared price, positively correlated with the declared capacity, and positively correlated with resource utilization rate; higher net revenue indicates higher resource utilization rate.

[0142] During peak-price electricity trading at 9 AM, profitability is only achieved when the declared price exceeds the warning threshold. Therefore, during peak-price trading, participating in valley-filling response with declared capacity will result in negative revenue, leading to excessively low resource utilization and resource waste. Furthermore, the higher the declared capacity, the greater the resource waste. Therefore, it is not recommended to participate in the valley-filling ancillary service market during peak-price trading to avoid resource waste.

[0143] Under the 12:00 noon grid parity tariff, when resource costs are less than resource revenues, for the same declared capacity, a higher declared price leads to higher net revenue and higher resource utilization; similarly, for the same declared price, a higher declared capacity leads to higher net revenue and higher resource utilization. Under grid parity tariffs, net revenue is positively correlated with both the declared price and the declared capacity. Therefore, the relationship between declared capacity and net revenue is similar to that under off-peak tariff scenarios.

[0144] The above analysis mainly focuses on the relationship between the reported volume and net income of individual resources such as photovoltaic resources and ice storage air conditioning systems. This analysis can clearly guide park users to participate in the valley filling ancillary services market by reporting the volume of individual resources, thereby accurately reflecting the park users' energy synergistic utilization and absorption capabilities and ensuring that resources are fully utilized.

[0145] At 7:00 AM off-peak electricity price, the relationship between the combined resource reporting and net revenue of the photovoltaic-ice storage air conditioning system is similar to that of the photovoltaic resource reporting and net revenue. However, the profit declaration threshold price is lower in this relationship. This is mainly because the ice storage air conditioning system has a lower profit declaration threshold price at 7:00 AM off-peak electricity price, resulting in a lower profit margin. At this time, the photovoltaic system submits a full declaration to maximize net revenue.

[0146] At 9:00 AM peak electricity price, the profit declaration boundary price will be greater than the declaration warning line value. No matter how much photovoltaic resources are declared, the net income will be negative. The main reason is that ice storage air conditioning systems cannot make a profit at peak electricity prices. As long as they participate in the valley filling ancillary service market, they will lose money, which directly affects the profit and loss space of photovoltaic resources participating in valley filling ancillary services. Therefore, in order to maximize the utilization rate of park resources, it is preferable to increase the declared amount of photovoltaic resources.

[0147] At the 12:00 PM grid parity price, the profit reporting boundary price is lower than the reporting warning line value, meaning that photovoltaic resources can generate profits regardless of the reported capacity. The net income curve exhibits an inverted "U" shape, indicating that the reported revenue of joint resources cannot be entirely based on the scenario of a single resource and requires joint and unified coupling analysis. The reporting boundary model can effectively improve the collaborative reporting analysis of multiple resources.

[0148] At 15:00 grid parity, the profit reporting threshold price is lower than the reporting warning line value, and joint resources can achieve profitability by participating in the valley-filling ancillary service market. At 15:00 grid parity, the net income curve also presents an inverted "U" shape, and the optimal reporting volume can be obtained by solving the optimal reporting volume strategy model.

[0149] The net income curve generally exhibits a straight line and an inverted U-shape, while the profit declaration boundary price curve shows a sloping straight line and a U-shape. However, in the relationship between photovoltaic resource reporting volume and net income, the net income curve generally exhibits a straight line and an inverted U-shape, while the profit declaration boundary price curve shows a flat straight line and a semi-n-shaped curve. This indicates that the relationship between joint resource reporting volume and net income differs from that between individual resource reporting volume and net income. When industrial and commercial park users participate in the valley-filling ancillary services market, the participation of both individual and connected resources in the reporting process must be comprehensively considered to maximize park resource utilization and maximize revenue.

[0150] Each centrifugal chiller has a rated capacity of 659 kW. Ignoring ramp-up time, the centrifugal chillers operate at rated power after startup and cannot be flexibly adjusted. The intervention method is step control. Therefore, when the ice storage air conditioning system participates in the valley filling ancillary service market, the reported capacity can be one of 0 kW, 659 kW, 1318 kW, or 1977 kW. Between 10:00 and 11:00, the ice storage air conditioning system does not participate in valley filling, and only photovoltaic resources participate in the valley filling ancillary service market, maximizing the park's net revenue. Between 10:00 and 11:00, the park's peak electricity price applies, and the profit declaration boundary price is greater than 0.6 yuan / kWh. Therefore, if the ice storage air conditioning system reports capacity, it will result in a negative net revenue. Based on the optimal revenue-seeking strategy, the optimized result is that the ice storage air conditioning system reports 0 kW, allowing only photovoltaic resources to participate in the market, which can achieve profitability. During the period from 11:00 to 12:00, when the ice storage air conditioning system and photovoltaic resources jointly participate in the valley-filling ancillary services market, and the ice storage air conditioning system reports its capacity at its maximum regulation capacity of 1977 kW, the park's net revenue can be maximized. Given that joint participation in the valley-filling ancillary services market is profitable, the more capacity the ice storage air conditioning system reports, the higher the profit. As the photovoltaic reporting capacity changes at different times, the optimal solution corresponding to the photovoltaic reporting capacity also changes, achieving synergistic optimization of multiple resources.

[0151] Taking 11:00 AM as an example, this further illustrates the process of optimizing the resource reporting and revenue-seeking strategy for industrial and commercial parks. When the reported capacity of the ice storage air conditioning system participating in the valley-filling ancillary service market is 0 kW, 659 kW, 1318 kW, and 1977 kW, respectively, each corresponds to a net revenue curve. These curves represent resource utilization rates. When the photovoltaic (PV) reporting capacity is between 0 kW and the maximum value, the net revenue curve exhibits an inverted "U" shape, indicating an extreme point and a maximum value for net revenue. The process of optimizing the reporting and revenue-seeking strategy involves finding the optimal solution among the reported PV capacity, the reported ice storage air conditioning system capacity, and the park's resource utilization rate. At 11:00 AM, the optimal solution is: the reported ice storage air conditioning system capacity is 1977 kW, the reported PV capacity is 624.78 kW, and the net revenue is 77.06 yuan. This ensures the full utilization of resources in the industrial and commercial park and avoids resource waste. This invention is aimed at users in industrial and commercial parks. It utilizes the proposed volume reporting boundary model and volume reporting revenue strategy for parks participating in the valley filling ancillary service market to construct an optimal model for the volume reporting and net revenue of park users. It quantitatively describes the profit boundary, the relationship between volume reporting and net revenue, and verifies and analyzes the effectiveness, rationality and universality of the proposed model and method. The results of the study and analysis of the embodiments show that: (1) The volume reporting boundary model proposed in this invention can quantitatively describe the volume reporting boundary and resource utilization revenue trend of industrial and commercial park resources at each time step, and solves the problem of what is the minimum bid price for park resources to participate in the valley filling ancillary service market; (2) The volume reporting revenue optimization strategy proposed in this invention can effectively reflect the quantitative relationship between the volume reporting of park photovoltaic and ice storage air conditioning systems and the park resource utilization rate at each time step, and optimizes the volume reporting value and net revenue value; (3) The volume reporting boundary model and volume reporting optimization strategy of industrial and commercial park users participating in the valley filling ancillary service market in this invention can, as a whole, help park users decide whether to report volume to participate in valley filling ancillary services, judge whether they can peak shaving and valley filling, and obtain the optimal volume reporting point when participating in the market.

[0152] In summary, the model and strategy proposed in this embodiment provide a theoretical basis and decision support for the bidding boundary of industrial and commercial parks participating in the valley-filling ancillary services market. They are practical, innovative, and novel, and effectively improve resource utilization by targeting the configuration and consumption of energy synergy. The model in this embodiment guarantees that the revenue is greater than the cost, enabling park users to participate in the valley-filling ancillary services market in the long term, helping the power grid to shave peaks and fill valleys, and improving the operating efficiency of the new power system.

[0153] Example 3

[0154] Based on the same inventive concept as Embodiment 1, this embodiment introduces a device for calculating the amount of data collected by park users participating in ancillary services, comprising:

[0155] The source load data information acquisition module is used to acquire source load data information in the park.

[0156] The park reporting boundary module is used to determine the correlation between the park's photovoltaic resources and ice storage air conditioning system resources and the reported quantities based on the park's source and load data information.

[0157] The optimal reporting strategy module is used to output the optimal reporting quantity based on the correlation between the photovoltaic resources and ice storage air conditioning system resources in the park and the reporting quantity.

[0158] The specific functional implementation of each module is described in the relevant content of Embodiment 1 and Embodiment 2, and will not be repeated here.

[0159] Example 4

[0160] Based on the same inventive concept as Embodiment 2, this embodiment introduces a computer storage medium that can be located in a server to store at least one instruction, at least one program, code set, or instruction set for implementing the method embodiments. The at least one instruction, the at least one program, the code set, or the instruction set is loaded and executed by the processor to implement the steps of the method for calculating the amount of information collected by park users participating in auxiliary services as described in either Method Embodiment 1 or 2.

[0161] Optionally, in embodiments of the present invention, the storage medium may be located at at least one of a plurality of network servers in a computer network. Optionally, in embodiments of the present invention, the storage medium may include, but is not limited to, various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0162] As can be seen from the technical solutions provided in the embodiments of this specification above, this embodiment obtains source and load data of the park through two methods: historical data and source and load prediction; constructs a reporting boundary model for the park's photovoltaic ice storage air conditioning system, clearly quantifying its reporting boundary for participation in the valley filling ancillary service market; proposes a reporting revenue optimization strategy, and achieves optimal reporting selection by solving the optimal reporting capacity through global optimization. Specifically, this includes constructing an optimal reporting strategy model based on the reporting boundary model of the park's photovoltaic ice storage air conditioning system by optimizing the reporting under the reporting constraint domain; solving the optimal reporting strategy model; and outputting the optimal reporting and maximized net revenue when the net revenue maximization strategy model has a solution.

[0163] In summary, this embodiment can accurately depict the reporting boundaries and resource utilization trends of various resources in different time periods. The optimization strategy can effectively realize the collaborative optimization of multiple resources participating in the market, accurately calculate the optimal reporting volume to improve the energy collaborative utilization configuration capacity and absorption level of park users, and provide a theoretical basis and decision support for the profit boundary of park users participating in the ancillary service market.

[0164] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0165] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0166] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0167] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0168] The embodiments of the present invention have been described above with reference to the accompanying drawings. However, the present invention is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of the present invention without departing from the spirit and scope of the claims. All of these forms are within the protection scope of the present invention.

Claims

1. A method for calculating the reporting volume of park users participating in ancillary services, characterized in that, include: Obtain source and load data information for the park; Based on the source and load data of the park, a boundary model for the reporting of the park's photovoltaic ice storage air conditioning system is constructed; Based on the reporting boundary model of the photovoltaic ice storage air conditioning system in the park, the reporting is optimized through the reporting constraint domain to construct the optimal reporting strategy model; Solve the optimal reporting strategy model. When the reporting strategy model has a solution, output the optimal reporting.

2. The method for calculating the reporting volume of park users participating in auxiliary services according to claim 1, characterized in that, The source load data information of the park is obtained through historical data or source load forecasting. The source load data information includes the park load, the output of the park's photovoltaic resources, the park's rated operating power, and the actual operating power of the chiller unit of the park's ice storage air conditioning system participating in the valley filling ancillary service market regulation.

3. The method for calculating the reporting volume of park users participating in auxiliary services according to claim 2, characterized in that, Based on the historical data, source load data information of the park is obtained by extrapolating from the same period in history or by comparing with similar days in history. The expression for the historical contemporaneous extrapolation is: （1） In the formula: For the present Data used in real time; For the same period in history Historical data at any given moment; Adjust the time step size to use historical data from the same period; The expression for the historical similarity day analogy is: （2） In the formula: For the present Data used in real time; For the same period in history Historical data at any given moment; Adjust the time step size to use historical data from the same period; For the present Time data fine-tuning correction value; To draw parallels to the starting point of similar historical dates; The total duration is compared with historically similar days.

4. The method for calculating the reporting volume of park users participating in auxiliary services according to claim 2, characterized in that, The source load data information of the park is obtained based on source load prediction, and the expression for source load prediction is: （3） In the formula: for The source load observation vector at time; for The source load observation vector at time t; for The source load observation vector at time t; for Historical or predicted values ​​at any given time; To capture the non-zero mean characteristic of the sequence; For lag The autoregressive coefficient matrix is ​​used to capture the dynamic dependencies of the source load sequence and reflect the degree of contribution of historical data to the current value. For lag orders from 1 to The summation of, where The model lag order is determined from historical data using information criteria to ensure model fit. This represents the uncaptured random fluctuation error vector; for The source power reflects the output power on the power supply side. for The instantaneous load power reflects the output power on the load side. This is the long-term mean or baseline offset of the source sequence, used to adjust the baseline level of the sequence; It is the long-term mean or baseline offset of the load series, used to adjust the baseline level of the series; For the source sequence itself in lag The autoregressive coefficient at time reflects the influence of historical source values ​​on current source values; For the load sequence relative to the source sequence in lag The cross-regression coefficient at that time reflects the impact of historical load values ​​on the current source value; For the source sequence to the load sequence in lag The cross-regression coefficient at that time reflects the impact of historical source values ​​on current load values; For the load sequence itself in lag The autoregressive coefficient at that time reflects the impact of historical load values ​​on current load values; For the source sequence in time The random error term satisfies the characteristics of a white noise process with a mean of zero; For the load sequence in time The random error term satisfies the white noise process with a mean of zero.

5. The method for calculating the reporting volume of park users participating in auxiliary services according to claim 1, characterized in that, Based on the source and load data of the park, a boundary model for the reporting of the park's photovoltaic ice storage air conditioning system is constructed, including: Based on the source and load data of the park, a photovoltaic resource model, an ice storage air conditioning system resource model, and a combined photovoltaic-ice storage air conditioning system resource model of the park are constructed respectively. Based on the aforementioned photovoltaic resource model of the park, a quantitative boundary model of the photovoltaic resources of the park is constructed. Based on the resource model of the ice storage air conditioning system in the park, a quantity boundary model of the ice storage air conditioning system resources in the park is constructed. Based on the joint resource model of the photovoltaic-ice storage air conditioning system in the park, a quantitative boundary model of the joint resources of the photovoltaic-ice storage air conditioning system in the park is constructed.

6. The method for calculating the reporting volume of park users participating in ancillary services according to claim 5, characterized in that, The expression for the photovoltaic resource model of the park is: （4） In the formula: for Net revenue from the participation of photovoltaic resources in the valley filling ancillary services market in the Shike Industrial Park; for The economic benefits of participating in valley-filling ancillary services market for photovoltaic resources in the industrial park; for The operating costs of photovoltaic resources in the industrial park participating in valley filling ancillary services market; for The photovoltaic resources in the industrial park should apply for market regulation capacity for valley filling ancillary services. for The photovoltaic resources of the industrial park will submit bids for participation in the valley-filling ancillary services market. for The electricity price for surplus photovoltaic power generated in the industrial park when sold to the grid; for The electricity price that the industrial park purchases from the power grid at any given time; for The park purchases electricity from the power grid at any time; for Real-time forecast of photovoltaic resource output in the industrial park; for Forecasted load in the park at any time; For time resolution; Based on the aforementioned photovoltaic resource model of the park and the constraints of the park's photovoltaic resources, a quantity boundary model for the park's photovoltaic resources is constructed. The expression of the quantity boundary model for the park's photovoltaic resources is as follows: （5） In the formula: for Net revenue from the participation of photovoltaic resources in the valley filling ancillary services market in the Shike Industrial Park; for The economic benefits of participating in valley-filling ancillary services market for photovoltaic resources in the industrial park; for The operating costs of photovoltaic resources in the industrial park participating in valley filling ancillary services market; for The photovoltaic resources in the industrial park should apply for market regulation capacity for valley filling ancillary services. for The photovoltaic resources of the industrial park will submit bids for participation in the valley-filling ancillary services market. for The electricity price for surplus photovoltaic power generated in the industrial park when sold to the grid; for The electricity price that the industrial park purchases from the power grid at any given time; for Real-time forecast of photovoltaic resource output in the industrial park; for Predicted load for the industrial park at any time.

7. The method for calculating the reporting volume of park users participating in auxiliary services according to claim 5, characterized in that, The expression for the resource model of the park's ice storage air conditioning system is: （6） In the formula: for Net revenue from the participation of the park's ice storage and air conditioning system resources in the valley filling ancillary services market; for The park's ice storage and air conditioning system resources will participate in the market economic benefits of valley filling auxiliary services. for The operating costs of the ice storage and air conditioning system resources in the park participating in the valley filling ancillary services market; for The cost of electricity price difference in the market for ice storage and air conditioning systems in the industrial park to participate in valley filling ancillary services; for The ice storage and air conditioning system resources of the park participate in the valley filling auxiliary service market and the cost of ice tank storage; for The comprehensive depreciation cost of equipment in the park's ice storage air conditioning system participating in the valley filling auxiliary service market; for The park's ice storage and air conditioning system resources will participate in the valley filling auxiliary service market application for capacity adjustment. for The actual operating power of the refrigeration unit of the ice storage air conditioning system in the park participating in the valley filling auxiliary service market regulation; for The park's ice storage and air conditioning system resources will participate in the valley filling auxiliary service market bidding price; The off-peak electricity price for the park to purchase electricity from the grid at night; for The electricity price that the industrial park purchases from the power grid at any given time; Storage cost per unit of cold storage capacity for the park's ice storage air conditioning system; The coefficient of performance (COP) of the ice storage air conditioning system in the park; The power conversion factor between power and refrigeration tons; The comprehensive loss coefficient of the ice storage air conditioning system equipment in the park; For time resolution; The actual operating power of the chiller unit of the ice storage air conditioning system in the park during the valley-filling ancillary services market response period is the rated operating power, and is equal to the declared capacity for participating in the valley-filling ancillary services market; the equivalent expression of the resource model of the ice storage air conditioning system in the park is: （7） In the formula: for Net revenue from the participation of the park's ice storage and air conditioning system resources in the valley filling ancillary services market; for The park's ice storage and air conditioning system resources will participate in the market economic benefits of valley filling auxiliary services. for The operating costs of the ice storage and air conditioning system resources in the park participating in the valley filling ancillary services market; for The park's ice storage and air conditioning system resources will participate in the valley filling auxiliary service market application for capacity adjustment. for The park's ice storage and air conditioning system resources will participate in the valley filling auxiliary service market bidding price; The off-peak electricity price for the park to purchase electricity from the grid at night; for The electricity price that the industrial park purchases from the power grid at any given time; Storage cost per unit of cold storage capacity for the park's ice storage air conditioning system; The coefficient of performance (COP) of the ice storage air conditioning system in the park; The power conversion factor between power and refrigeration tons; The comprehensive loss coefficient of the ice storage air conditioning system equipment in the park; For time resolution; Based on the resource model of the park's ice storage air conditioning system and the resource constraints of the park's ice storage air conditioning system, a quantity boundary model of the park's ice storage air conditioning system resources is constructed; the expression of the quantity boundary model of the park's ice storage air conditioning system resources is: （8） In the formula: for Net revenue from the participation of the park's ice storage and air conditioning system resources in the valley filling ancillary services market; for The park's ice storage and air conditioning system resources will participate in the market economic benefits of valley filling auxiliary services. for The operating costs of the ice storage and air conditioning system resources in the park participating in the valley filling ancillary services market; for The park's ice storage and air conditioning system resources will participate in the valley filling auxiliary service market application for capacity adjustment. for The park's ice storage and air conditioning system resources will participate in the valley filling auxiliary service market bidding price; The off-peak electricity price for the park to purchase electricity from the grid at night; for The electricity price that the industrial park purchases from the power grid at any given time; Storage cost per unit of cold storage capacity for the park's ice storage air conditioning system; The coefficient of performance (COP) of the ice storage air conditioning system in the park; The power conversion factor between power and refrigeration tons; This is the comprehensive loss coefficient of the ice storage air conditioning system equipment in the park.

8. The method for calculating the reporting volume of park users participating in auxiliary services according to claim 5, characterized in that, The specific expression for the combined resource model of the photovoltaic-ice storage air conditioning system in the park is as follows: （9） In the formula: for The net revenue from the joint participation of resources in the valley-filling ancillary services market for the photovoltaic-ice storage air conditioning system in the Shike Industrial Park. for The photovoltaic-ice storage air conditioning system in the industrial park will leverage resources to participate in the application for regulation capacity in the valley filling ancillary services market. for The photovoltaic-ice storage air conditioning system of the Shike Industrial Park will jointly submit a price application for valley-filling ancillary services market. for Net revenue from the participation of photovoltaic resources in the valley filling ancillary services market in the Shike Industrial Park; for The photovoltaic resources in the industrial park should apply for market regulation capacity for valley filling ancillary services. for The electricity price for surplus photovoltaic power generated in the industrial park when sold to the grid; for The electricity price that the industrial park purchases from the power grid at any given time; for Real-time forecast of photovoltaic resource output in the industrial park; for Forecasted load in the park at any time; for Net revenue from the participation of the park's ice storage and air conditioning system resources in the valley filling ancillary services market; for The park's ice storage and air conditioning system resources will participate in the valley filling auxiliary service market application for capacity adjustment. The off-peak electricity price for the park to purchase electricity from the grid at night; Storage cost per unit of cold storage capacity for the park's ice storage air conditioning system; The coefficient of performance (COP) of the ice storage air conditioning system in the park; The power conversion factor between power and refrigeration tons; The comprehensive loss coefficient of the ice storage air conditioning system equipment in the park; For time resolution; Based on the joint resource model of the photovoltaic-ice storage air conditioning system in the park, and the constraints of the joint resource model, a quantity boundary model of the joint resource of the photovoltaic-ice storage air conditioning system in the park is constructed; the specific expression of the quantity boundary model of the joint resource of the photovoltaic-ice storage air conditioning system in the park is as follows: （10） In the formula: for The net revenue from the joint participation of resources in the valley-filling ancillary services market for the photovoltaic-ice storage air conditioning system in the Shike Industrial Park. for The photovoltaic-ice storage air conditioning system in the industrial park will leverage resources to participate in the application for regulation capacity in the valley filling ancillary services market. for The photovoltaic-ice storage air conditioning system of the Shike Industrial Park will jointly submit a price application for valley-filling ancillary services market. for The photovoltaic resources in the industrial park should apply for market regulation capacity for valley filling ancillary services. for The electricity price for surplus photovoltaic power generated in the industrial park when sold to the grid; for The electricity price that the industrial park purchases from the power grid at any given time; for Real-time forecast of photovoltaic resource output in the industrial park; for Forecasted load in the park at any time; for The park's ice storage and air conditioning system resources will participate in the valley filling auxiliary service market application for capacity adjustment. The off-peak electricity price for the park to purchase electricity from the grid at night; Storage cost per unit of cold storage capacity for the park's ice storage air conditioning system; The coefficient of performance (COP) of the ice storage air conditioning system in the park; The power conversion factor between power and refrigeration tons; The comprehensive loss coefficient of the ice storage air conditioning system equipment in the park; For time resolution.

9. The method for calculating the reporting volume of park users participating in auxiliary services according to claim 1, characterized in that, The expression for the optimal reporting strategy model is: （11） In the formula: for The net revenue from the joint participation of resources in the valley-filling ancillary services market for the photovoltaic-ice storage air conditioning system in the Shike Industrial Park. for The profit margin declaration price when the net revenue of the photovoltaic-ice storage air conditioning system in the park participating in valley filling ancillary services market is 0. for The photovoltaic-ice storage air conditioning system of the Shike Industrial Park will jointly submit a price application for valley-filling ancillary services market. The warning value for the market bid of the photovoltaic-ice storage air conditioning system in the park to participate in valley filling ancillary services is that the park can clear the bid price based on market forecasts. The upper limit of the market price for joint resources to participate in valley-filling ancillary services for the photovoltaic-ice storage air conditioning system in the industrial park; for The photovoltaic resources in the industrial park should apply for market regulation capacity for valley filling ancillary services. Error factor for predicting photovoltaic resources in the park; for Real-time forecast of photovoltaic resource output in the industrial park; for The park's ice storage and air conditioning system resources will participate in the valley filling auxiliary service market application for capacity adjustment. The installed capacity of the ice storage air conditioning system in the park.

10. The method for calculating the reporting volume of park users participating in ancillary services according to claim 1, characterized in that, Solve the optimal reporting strategy model. When the optimal reporting strategy model has a solution, output the optimal reporting volume and the maximum net profit, expressed as: （12） In the formula: for The net revenue from the joint participation of resources in the valley-filling ancillary services market for the photovoltaic-ice storage air conditioning system in the Shike Industrial Park. for The optimal value for the regulation capacity of photovoltaic resources in the industrial park to participate in the valley filling ancillary services market application; for The optimal value for the regulation capacity of the ice storage air conditioning system resources in the park to participate in the valley filling auxiliary service market application; for The photovoltaic-ice storage air conditioning system in the industrial park will jointly participate in the valley filling ancillary services market application for the optimal regulation capacity. for The optimal net return for the photovoltaic-ice storage air conditioning system in the Shike Industrial Park to participate in valley filling ancillary services market is achieved through joint resource allocation.

11. A device for calculating the amount of data collected by park users participating in auxiliary services, characterized in that, include: The source load data information acquisition module is used to acquire source load data information in the park. The park reporting boundary module is used to determine the correlation between the park's photovoltaic resources and ice storage air conditioning system resources and the reported quantities based on the park's source and load data information. The optimal reporting strategy module is used to output the optimal reporting quantity based on the correlation between the photovoltaic resources and ice storage air conditioning system resources in the park and the reporting quantity.

12. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the method for calculating the amount of information collected by park users participating in ancillary services as described in any one of claims 1 to 10.

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