Industrial and commercial user aggregation declaration method and system, electronic equipment and storage medium

Abstract

The invention discloses an industrial and commercial user aggregation declaration method and system, electronic equipment and a storage medium. The industrial and commercial user aggregation declaration method comprises the following steps: acquiring industrial and commercial user information; demand response, spot transaction and time-of-use electricity price are acquired; constructing a market mechanism price standard prediction model according to industrial and commercial user information, demand response and spot transaction; and constructing an industrial and commercial user aggregation declaration strategy based on the market mechanism price standard prediction model and the time-of-use electricity price. The technical problem that an aggregation declaration strategy in the prior art does not consider that industrial and commercial users participate in mutual influence of different market mechanisms at the same time after aggregation, and the declaration strategy is not reasonable enough is solved.

Description

Technical Field

[0001] The present invention relates to the field of electric power technology, and in particular to a method, system, electronic device and storage medium for aggregate declaration of industrial and commercial users. Background Art

[0002] In recent years, under the demand for the development of new power systems, market mechanisms such as spot trading and demand response have gradually been widely promoted and applied, and relevant mechanisms have become increasingly mature. As important entities of social electricity consumption, industrial and commercial users are important objects for participating in spot trading in the electricity market. At the same time, because they have flexible resources such as air conditioners, charging piles, energy storage, and controllable production lines, they are also important resource objects for participating in power demand response. Small and medium-sized industrial and commercial users often participate in various market mechanisms in the form of aggregation and bundling. Therefore, how to formulate a good market application strategy that takes into account the participation benefits of each user and the constraints of the market mechanism is an important research direction in the relevant field.

[0003] At present, the traditional aggregation declaration strategy only makes decisions and generates corresponding declaration plans or electricity consumption plans for single market mechanisms such as demand response, spot trading, and time-of-use electricity prices. It does not consider the mutual influence of industrial and commercial users participating in different market mechanisms at the same time after aggregation, and the declaration strategy is not reasonable enough. Summary of the invention

[0004] The embodiments of the present invention provide a method, system, electronic device and storage medium for aggregate reporting of industrial and commercial users, so as to at least solve the technical problem that the aggregate reporting strategy of the prior art does not take into account the mutual influence of industrial and commercial users participating in different market mechanisms at the same time after aggregation, and the reporting strategy is not reasonable.

[0005] According to one aspect of an embodiment of the present invention, a method for aggregate declaration of industrial and commercial users is provided, including: obtaining industrial and commercial user information; obtaining demand response, spot transactions and time-of-use electricity prices; constructing a market mechanism price standard prediction model based on the industrial and commercial user information, demand response and spot transactions; and constructing an industrial and commercial user aggregate declaration strategy based on the market mechanism price standard prediction model and time-of-use electricity prices.

[0006] Optionally, the industrial and commercial user information includes: the number of industrial and commercial users in the region, the number of industrial and commercial user devices, the real-time load of each industrial and commercial user device, the upper and lower limits of the real-time regulation potential of each industrial and commercial user device, and the user's participation status in demand response and spot trading.

[0007] Optionally, demand response includes demand response under-response and over-response ratio coefficients, demand response subsidy historical data, and spot trading includes spot trading clearing electricity price historical data.

[0008] Optionally, a market mechanism price standard prediction model is constructed based on industrial and commercial user information, demand response and spot transactions, including: determining the degree of volatility based on historical data on demand response subsidies and historical data on spot transaction clearing electricity prices; determining a benchmark degree of volatility based on the degree of volatility; and constructing a market mechanism price standard prediction model based on the benchmark degree of volatility.

[0009] Optionally, an aggregate declaration strategy for industrial and commercial users is constructed based on the market mechanism price standard prediction model and time-of-use electricity prices, including: constructing an optimization model based on the market mechanism price standard prediction model and time-of-use electricity prices; determining the demand response declaration quantity and spot transaction declaration quantity of different industrial and commercial users according to the optimization model; determining an aggregation group plan as the aggregate declaration strategy for industrial and commercial users according to the demand response declaration quantity and spot transaction declaration quantity of different industrial and commercial users.

[0010] Optionally, the solution of the market mechanism price standard prediction model follows preset constraints, which include: single user entity profit constraints, electric power balance constraints, source-load side equipment regulation potential constraints, demand response no under-response and over-response constraints, decision-making time and object constraints.

[0011] According to another aspect of an embodiment of the present invention, there is also provided an industrial and commercial user aggregate reporting system, including: a first acquisition module for acquiring industrial and commercial user information; a second acquisition module for acquiring demand response, spot transactions and time-of-use electricity prices; a first construction module for constructing a market mechanism price standard prediction model based on the industrial and commercial user information, demand response and spot transactions; and a second construction module for constructing an industrial and commercial user aggregate reporting strategy based on the market mechanism price standard prediction model and time-of-use electricity prices.

[0012] Optionally, the industrial and commercial user information acquired by the first acquisition module includes: the number of industrial and commercial users in the region, the number of industrial and commercial user devices, the real-time load of each industrial and commercial user device, the upper and lower limits of the real-time regulation potential of each industrial and commercial user device, and the user's participation status in demand response and spot trading.

[0013] Optionally, the demand response acquired by the second acquisition module includes demand response under-response and over-response ratio coefficients, demand response subsidy historical data, and spot transactions including spot transaction clearing electricity price historical data.

[0014] Optionally, the first construction module is also used to: determine the degree of volatility based on historical data of demand response subsidies and historical data of spot transaction clearing electricity prices; determine a benchmark degree of volatility based on the degree of volatility; and construct a market mechanism price standard prediction model based on the benchmark degree of volatility.

[0015] Optionally, the second construction module is also used to: construct an optimization model based on the market mechanism price standard prediction model and time-of-use electricity price; determine the demand response declaration quantity and spot transaction declaration quantity of different industrial and commercial users according to the optimization model; determine the aggregation group plan as the industrial and commercial user aggregation declaration strategy based on the demand response declaration quantity and spot transaction declaration quantity of different industrial and commercial users.

[0016] Optionally, the solution of the market mechanism price standard prediction model constructed by the first construction module follows preset constraints, which include: single user entity profit constraints, electric power balance constraints, source-load side equipment regulation potential constraints, demand response no under-response and over-response constraints, decision-making time and object constraints.

[0017] According to another aspect of an embodiment of the present invention, there is also provided an electronic device, comprising: a memory storing an executable program; and a processor for running the program, wherein when the program is running, the method for aggregate reporting of industrial and commercial users in any one of the above items is executed.

[0018] According to another aspect of an embodiment of the present invention, a computer-readable storage medium is also provided, the computer-readable storage medium including a stored executable program, wherein when the executable program is running, the device where the storage medium is located is controlled to execute any of the above-mentioned industrial and commercial user aggregate reporting methods.

[0019] According to another aspect of an embodiment of the present invention, a computer program product is provided, including a computer program, which implements any of the above-mentioned industrial and commercial user aggregate reporting methods when executed by a processor.

[0020] In an embodiment of the present invention, industrial and commercial user information is obtained; demand response, spot transactions and time-of-use electricity prices are obtained; a market mechanism price standard prediction model is constructed based on the industrial and commercial user information, demand response and spot transactions; and an industrial and commercial user aggregation declaration strategy is constructed based on the market mechanism price standard prediction model and time-of-use electricity prices. The present invention can accurately predict market mechanism prices, optimize aggregation declaration strategies, and significantly improve the participation benefits of industrial and commercial users in the electricity market through refined data collection and comprehensive analysis of multiple market mechanism information. By solving the optimal declaration quantity at the equipment level and forming an aggregation group scheme, not only the market competitiveness of the aggregate is enhanced, but also the optimal allocation of power resources is effectively promoted, achieving a dual improvement in economic and social benefits, thereby solving the technical problem that the aggregation declaration strategy of the prior art does not consider the mutual influence of industrial and commercial users participating in different market mechanisms at the same time after aggregation, and the declaration strategy is not reasonable enough. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0022] Figure 1 is a flow chart of a method for aggregate declaration of industrial and commercial users according to one embodiment of the present invention;

[0023] Figure 2 It is a structural block diagram of an industrial and commercial user aggregation reporting system according to one embodiment of the present invention. DETAILED DESCRIPTION

[0024] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0025] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0026] According to an embodiment of the present invention, an embodiment of a method for aggregate declaration by industrial and commercial users is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0027] Figure 1 is a flow chart of a method for aggregate reporting of industrial and commercial users according to one embodiment of the present invention. Figure 1 As shown, the method comprises the following steps:

[0028] Step S101, obtaining industrial and commercial user information.

[0029] Step S102, obtaining demand response, spot transactions and time-of-use electricity prices.

[0030] Step S103, constructing a market mechanism price standard prediction model based on industrial and commercial user information, demand response and spot transactions.

[0031] Step S104, constructing an aggregate declaration strategy for industrial and commercial users based on the market mechanism price standard prediction model and time-of-use electricity price.

[0032] In an embodiment of the present invention, industrial and commercial user information is obtained; demand response, spot transactions and time-of-use electricity prices are obtained; a market mechanism price standard prediction model is constructed based on the industrial and commercial user information, demand response and spot transactions; and an industrial and commercial user aggregation declaration strategy is constructed based on the market mechanism price standard prediction model and time-of-use electricity prices. The present invention can accurately predict market mechanism prices, optimize aggregation declaration strategies, and significantly improve the participation benefits of industrial and commercial users in the electricity market through refined data collection and comprehensive analysis of multiple market mechanism information. By solving the optimal declaration quantity at the equipment level and forming an aggregation group scheme, not only the market competitiveness of the aggregate is enhanced, but also the optimal allocation of power resources is effectively promoted, achieving a dual improvement in economic and social benefits, thereby solving the technical problem that the aggregation declaration strategy of the prior art does not consider the mutual influence of industrial and commercial users participating in different market mechanisms at the same time after aggregation, and the declaration strategy is not reasonable enough.

[0033] Optionally, the industrial and commercial user information includes: the number of industrial and commercial users in the region, the number of industrial and commercial user devices, the real-time load of each industrial and commercial user device, the upper and lower limits of the real-time regulation potential of each industrial and commercial user device, and the user's participation status in demand response and spot trading.

[0034] Optionally, demand response includes demand response under-response and over-response ratio coefficients, demand response subsidy historical data, and spot trading includes spot trading clearing electricity price historical data.

[0035] Optionally, a market mechanism price standard prediction model is constructed based on industrial and commercial user information, demand response and spot transactions, including: determining the degree of volatility based on historical data on demand response subsidies and historical data on spot transaction clearing electricity prices; determining a benchmark degree of volatility based on the degree of volatility; and constructing a market mechanism price standard prediction model based on the benchmark degree of volatility.

[0036] Optionally, an aggregate declaration strategy for industrial and commercial users is constructed based on the market mechanism price standard prediction model and time-of-use electricity prices, including: constructing an optimization model based on the market mechanism price standard prediction model and time-of-use electricity prices; determining the demand response declaration quantity and spot transaction declaration quantity of different industrial and commercial users according to the optimization model; determining an aggregation group plan as the aggregate declaration strategy for industrial and commercial users according to the demand response declaration quantity and spot transaction declaration quantity of different industrial and commercial users.

[0037] Optionally, the solution of the market mechanism price standard prediction model follows preset constraints, which include: single user entity profit constraints, electric power balance constraints, source-load side equipment regulation potential constraints, demand response no under-response and over-response constraints, decision-making time and object constraints.

[0038] Specifically, the above embodiment is implemented as follows:

[0039] Collect regional industrial and commercial user information, including: the number of regional industrial and commercial users N user 、Number of equipment for each industrial and commercial user equipment,i , Real-time load P of each equipment of industrial and commercial users EV,t , P AC,t , P LU,t , P ES,t , P PV,t , where P EV,t is the real-time load of the charging pile, P AC,t is the real-time load of air conditioner, P LU,t The real-time load of production equipment, P ES,t is the real-time load of the energy storage device, P PV,t The upper and lower limits of the real-time load of photovoltaic equipment and the real-time regulation potential of each equipment of industrial and commercial users P up,t and P low,t , User participation in demand response and spot trading α dl,i,t and α st,i,t ;

[0040] Collect information on demand response, spot trading, time-of-use electricity prices and other mechanisms, including: demand response under-response and over-response weight coefficients σ1 and σ2, demand response subsidy historical data c dl,M,i,t 、Spot trading clearing electricity price historical datac st,M,i,t 、Time-of-use electricity price price,t ;

[0041] Establish a market mechanism price standard forecasting model based on volatility assessment (i.e., build a market mechanism price standard forecasting model based on industrial and commercial user information, demand response and spot transactions). The specific steps are as follows:

[0042] The oscillation degree at time t is calculated based on the historical operating data of demand response subsidies and spot transaction clearing electricity prices for the last M days of the same type:

[0043] Δc st,M,i,t =c st,M,i,t -c st,M-1,i,t ......

[0045] Δc st,3,i,t =cst,3,i,t -c st,2,i,t

[0046] Δc st,2,i,t =c st,2,i,t -c st,1,i,t

[0047] Δc dl,M,i,t =c dl,M,i,t -c dl,M-1,i,t ......

[0049] Δc dl,3,i,t =c dl,3,i,t -c dl,2,i,t

[0050] Δc dl,2,i,t =c dl,2,i,t -c dl,1,i,t

[0051] In the formula, Δc st,M,i,t is the spot trading clearing electricity price volatility of user i at time t on the Mth day of spot trading history; c st,M,i,t is the spot trading clearing electricity price of user i at time t on the Mth day of spot trading history; Δc dl,M,i,t c is the oscillation degree of the demand response subsidy standard for user i at time t on the Mth day of the demand response history; dl,M,i,t is the demand response subsidy standard for user i at time t on the Mth day in the demand response history;

[0052] Calculate the demand response subsidy standard and the spot transaction clearing price benchmark volatility:

[0053]

[0054] In the formula, and To establish a benchmark volatility for demand response subsidy standards and spot trading clearing electricity prices;

[0055] Standard forecasting model of market mechanism price based on shock assessment:

[0056]

[0057] In the formula, c st,t and c dl,t is the spot transaction clearing electricity price and demand response subsidy standard forecast value of the aggregate at time t on the target day; c st,1,i,t and c dl,1,i,t It is the spot transaction clearing electricity price and demand response subsidy standard for user i at time t on the most recent day of the same type.

[0058] Establish an aggregate declaration strategy for industrial and commercial users coupled with multiple market mechanisms. The specific steps are as follows:

[0059] In view of the demand response regulation or power trading execution requirements at different levels of region-station-line-edge, the subordinate discrete individual industrial and commercial user resources are orderly aggregated, and the optimal demand response, spot trading declaration plan and the regulation plan of each individual resource are decided. This model takes the maximization of the comprehensive benefit of the aggregate as the objective function and the declaration amount of the aggregate as the decision variable to establish the corresponding optimization model, as follows:

[0060]

[0061] In the formula, C cb P is the overall benefit of the aggregate; dl,i,t P is the demand response declaration amount of industrial and commercial user i in the aggregate at time t. This model uses load regulation as the demand response declaration amount; st,i,t is the electricity demand reported for spot trading by user i in the aggregate at time t. This model uses load as the reported quantity for spot trading; c dl,t is the demand response subsidy standard of the aggregate at time t; c st,t is the estimated clearing electricity price of aggregate spot transactions at time t; c price,t is the time-of-use electricity price of the aggregate at time t; N user is the number of industrial and commercial users that can be aggregated in the region; T dl T is the time set of reporting requirements; other is the non-reporting demand time set; P dl,sum,t and P st,sum,t Aggregate demand response and spot transaction declaration volume at time t; N equipment,i is the number of devices that user i can apply for; P dl,equipment,i,k,t and P st,equipment,i,k,t are the demand response and spot transaction declaration volume of user i and device k at time t respectively; α dl,i,t and α st,i,t They are the participation status of user i in demand response and spot trading at time t. When it is 1, it means that the user participates in the declaration. The declared quantity at this moment is P dl,i,t or P st,i,t Participate in optimization decision-making. When it is 0, it means that the user does not participate in the declaration. The declaration amount P at this moment dl,i,t or P st,i,t Not involved in optimization decisions.

[0062] The above model needs to follow the preset constraints when solving. The constraints are as follows:

[0063] ① Single user entity benefit constraints

[0064]

[0065] In the formula, C cb,iis the comprehensive income of user i’s declared demand response and spot trading.

[0066] ②Electric power balance constraints

[0067] The power balance of each user equipment in the aggregate in the declared demand time set and the non-declared demand time set is as follows:

[0068]

[0069] ③ Constraints on the regulation potential of each device on the source-load side

[0070] For each type of equipment of users in the aggregate, the demand response declared quantity must be within the adjustable capacity range, as follows:

[0071] P low,EV,t ≤P dl,EV,t ≤P up,EV,t (12)

[0072] P low,AC,t ≤P dl,AC,t ≤P up,AC,t (13)

[0073] P low,LU,t ≤P dl,LU,t ≤P up,LU,t (14)

[0074] -P low,ES,t ≤P dl,ES,t ≤P up,ES,t (15)

[0075] 0≤P dl,PV,t ≤P up,PV,t (16)

[0076] The above formulas represent the adjustable capacity constraints of electric vehicles, air conditioners, production equipment, energy storage, and photovoltaic equipment in industrial and commercial users. The letter on the far left of the formula represents the lower limit of the regulation potential, the letter on the far right represents the lower limit of the regulation potential, and the middle of the formula represents the power demand of the equipment, which is consistent with the declared amount of spot transactions.

[0077] ④ Demand response is not subject to under-response or over-response constraints

[0078]

[0079] Wherein, σ1 and σ2 are the coefficients of under-response and over-response of demand response, respectively. Considering the safety margin and demand response incentive regulations, σ1 and σ2 are taken as 0.8 and 1.05, respectively.

[0080] ⑤Decision-making time and object constraints

[0081] If α dl,i,t=0, then the demand response declaration decision variables in the optimization model must satisfy:

[0082] P dl,i,t =0 (18)

[0083] If α st,i,t =0, then the spot transaction declaration decision variables in the optimization model must satisfy:

[0084] P st,i,t =0 (19)

[0085] Combining the above optimization model, substituting relevant parameters and data, the demand response declaration amount P of industrial and commercial users i at the tth moment in the aggregate is obtained: dl,i,t 、The electricity demand reported by user i at time t for spot trading P st,i,t , the demand response declaration quantity P of user i and device k dl,equipment,i,k and spot transaction declaration volume P st,equipment,i,k ;

[0086] Based on the above-mentioned optimal aggregation model declaration decision plan, the aggregation group plan is determined in combination with the corresponding declaration amounts of different individuals. The specific process is as follows:

[0087] ① For the user level, if the declaration time set T dl There is at least one time t where P dl,i,t or P st,i,t ≠0, then user i is included in the aggregate and the aggregate label of user i is recorded as θ i is 1; if all moments P dl,i,t = 0 and P st,i,t = 0, the user i who applied for this report will not be included in the aggregate, and the aggregate label of user i will be recorded as θ i is 0; then a list of aggregate users participating in this declaration is formed as follows:

[0088] A=[A1,A2,A3,...,A i ,....],θ i =1 (20)

[0089] Where A is the aggregate user list, A1, A2, A3, ..., A i The user who participated in this round of application.

[0090] ② For the equipment level in the aggregate, if the declaration time set T dl There is at least one time t where P dl,equipment,i,k,t or P st,equipment,i,k,t ≠0, then the device k of user i is included in the control list, and the aggregate tag of the device k of user i is recorded is 1; if all moments P dl,equipment,i,k,t= 0 and P st,equipment,i,k,t = 0, the device k of user i who applied for the new device will not be included in the aggregation, and the aggregation tag of user i will be recorded. is 0; then the list of polymer equipment participating in this declaration is formed as follows:

[0091]

[0092] Where B is the polymer equipment list, B 1，1 ,B 1，2 ,...,B i,k It refers to the individual user devices participating in this round of application.

[0093] Through the description of the above implementation methods, those skilled in the art can clearly understand that the method according to the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), including a number of instructions for a terminal device (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods described in each embodiment of the present invention.

[0094] In the embodiments of the present invention, an industrial and commercial user aggregation declaration system is also provided to implement the above embodiments and preferred implementation modes, which have been described and will not be repeated. As used below, the term "module" can implement a combination of software and / or hardware for a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0095] Figure 2 is a structural block diagram of an industrial and commercial user aggregation reporting system 200 according to one embodiment of the present invention. Figure 2 As shown, the system includes: a first acquisition module 201, used to obtain industrial and commercial user information; a second acquisition module 202, used to obtain demand response, spot transactions and time-of-use electricity prices; a first construction module 203, used to construct a market mechanism price standard prediction model based on industrial and commercial user information, demand response and spot transactions; a second construction module 204, used to construct an industrial and commercial user aggregation declaration strategy based on the market mechanism price standard prediction model and time-of-use electricity prices.

[0096] Optionally, the industrial and commercial user information acquired by the first acquisition module 201 includes: the number of industrial and commercial users in the region, the number of industrial and commercial user devices, the real-time load of each industrial and commercial user device, the upper and lower limits of the real-time regulation potential of each industrial and commercial user device, and the user's participation status in demand response and spot trading.

[0097] Optionally, the demand response acquired by the second acquisition module 202 includes demand response under-response and over-response ratio coefficients, demand response subsidy historical data, and spot transactions including spot transaction clearing electricity price historical data.

[0098] Optionally, the first construction module 203 is further used to: determine the degree of volatility based on historical data of demand response subsidies and historical data of spot transaction clearing electricity prices; determine a benchmark degree of volatility based on the degree of volatility; and construct a market mechanism price standard prediction model based on the benchmark degree of volatility.

[0099] Optionally, the second construction module 204 is also used to: construct an optimization model based on the market mechanism price standard prediction model and time-of-use electricity price; determine the demand response declaration quantity and spot transaction declaration quantity of different industrial and commercial users according to the optimization model; determine the aggregation group plan as the industrial and commercial user aggregation declaration strategy according to the demand response declaration quantity and spot transaction declaration quantity of different industrial and commercial users.

[0100] Optionally, the solution of the market mechanism price standard prediction model constructed by the first construction module 203 follows preset constraints, which include: single user entity profit constraints, electric power balance constraints, source-load side equipment regulation potential constraints, demand response no under-response and over-response constraints, decision-making time and object constraints.

[0101] An embodiment of the present invention further provides an electronic device, comprising: a memory storing an executable program; and a processor for running the program, wherein when the program is running, the method for aggregate reporting of industrial and commercial users described in any of the above embodiments is executed.

[0102] Optionally, in this embodiment, the processor in the electronic device may be configured to run an executable program to perform the following steps:

[0103] Step S101, obtaining industrial and commercial user information.

[0104] Step S102, obtaining demand response, spot transactions and time-of-use electricity prices.

[0105] Step S103, constructing a market mechanism price standard prediction model based on industrial and commercial user information, demand response and spot transactions.

[0106] Step S104, constructing an aggregate declaration strategy for industrial and commercial users based on the market mechanism price standard prediction model and time-of-use electricity price.

[0107] Optionally, the industrial and commercial user information includes: the number of industrial and commercial users in the region, the number of industrial and commercial user devices, the real-time load of each industrial and commercial user device, the upper and lower limits of the real-time regulation potential of each industrial and commercial user device, and the user's participation status in demand response and spot trading.

[0108] Optionally, demand response includes demand response under-response and over-response ratio coefficients, demand response subsidy historical data, and spot trading includes spot trading clearing electricity price historical data.

[0109] Optionally, a market mechanism price standard prediction model is constructed based on industrial and commercial user information, demand response and spot transactions, including: determining the degree of volatility based on historical data on demand response subsidies and historical data on spot transaction clearing electricity prices; determining a benchmark degree of volatility based on the degree of volatility; and constructing a market mechanism price standard prediction model based on the benchmark degree of volatility.

[0110] Optionally, an aggregate declaration strategy for industrial and commercial users is constructed based on the market mechanism price standard prediction model and time-of-use electricity prices, including: constructing an optimization model based on the market mechanism price standard prediction model and time-of-use electricity prices; determining the demand response declaration quantity and spot transaction declaration quantity of different industrial and commercial users according to the optimization model; determining an aggregation group plan as the aggregate declaration strategy for industrial and commercial users according to the demand response declaration quantity and spot transaction declaration quantity of different industrial and commercial users.

[0111] Optionally, the solution of the market mechanism price standard prediction model follows preset constraints, which include: single user entity profit constraints, electric power balance constraints, source-load side equipment regulation potential constraints, demand response no under-response and over-response constraints, decision-making time and object constraints.

[0112] An embodiment of the present invention further provides a computer-readable storage medium, which includes a stored executable program, wherein when the executable program is running, the device where the storage medium is located is controlled to execute the industrial and commercial user aggregate reporting method described in any of the above embodiments.

[0113] Optionally, in this embodiment, the above executable program may be configured to store an executable program for performing the following steps:

[0114] Step S101, obtaining industrial and commercial user information.

[0115] Step S102, obtaining demand response, spot transactions and time-of-use electricity prices.

[0116] Step S103, constructing a market mechanism price standard prediction model based on industrial and commercial user information, demand response and spot transactions.

[0117] Step S104, constructing an aggregate declaration strategy for industrial and commercial users based on the market mechanism price standard prediction model and time-of-use electricity price.

[0118] Optionally, the industrial and commercial user information includes: the number of industrial and commercial users in the region, the number of industrial and commercial user devices, the real-time load of each industrial and commercial user device, the upper and lower limits of the real-time regulation potential of each industrial and commercial user device, and the user's participation status in demand response and spot trading.

[0119] Optionally, demand response includes demand response under-response and over-response ratio coefficients, demand response subsidy historical data, and spot trading includes spot trading clearing electricity price historical data.

[0120] Optionally, a market mechanism price standard prediction model is constructed based on industrial and commercial user information, demand response and spot transactions, including: determining the degree of volatility based on historical data on demand response subsidies and historical data on spot transaction clearing electricity prices; determining a benchmark degree of volatility based on the degree of volatility; and constructing a market mechanism price standard prediction model based on the benchmark degree of volatility.

[0121] Optionally, an aggregate declaration strategy for industrial and commercial users is constructed based on the market mechanism price standard prediction model and time-of-use electricity prices, including: constructing an optimization model based on the market mechanism price standard prediction model and time-of-use electricity prices; determining the demand response declaration quantity and spot transaction declaration quantity of different industrial and commercial users according to the optimization model; determining an aggregation group plan as the aggregate declaration strategy for industrial and commercial users according to the demand response declaration quantity and spot transaction declaration quantity of different industrial and commercial users.

[0122] Optionally, the solution of the market mechanism price standard prediction model follows preset constraints, which include: single user entity profit constraints, electric power balance constraints, source-load side equipment regulation potential constraints, demand response no under-response and over-response constraints, decision-making time and object constraints.

[0123] An embodiment of the present invention further provides a computer program product, including a computer program, which, when executed by a processor, implements the method for aggregate reporting of industrial and commercial users described in any of the above embodiments.

[0124] Optionally, in this embodiment, the above computer program implements the following steps when executed by a processor:

[0125] Step S101, obtaining industrial and commercial user information.

[0126] Step S102, obtaining demand response, spot transactions and time-of-use electricity prices.

[0127] Step S103, constructing a market mechanism price standard prediction model based on industrial and commercial user information, demand response and spot transactions.

[0128] Step S104, constructing an aggregate declaration strategy for industrial and commercial users based on the market mechanism price standard prediction model and time-of-use electricity price.

[0129] Optionally, the industrial and commercial user information includes: the number of industrial and commercial users in the region, the number of industrial and commercial user devices, the real-time load of each industrial and commercial user device, the upper and lower limits of the real-time regulation potential of each industrial and commercial user device, and the user's participation status in demand response and spot trading.

[0130] Optionally, demand response includes demand response under-response and over-response ratio coefficients, demand response subsidy historical data, and spot trading includes spot trading clearing electricity price historical data.

[0131] Optionally, a market mechanism price standard prediction model is constructed based on industrial and commercial user information, demand response and spot transactions, including: determining the degree of volatility based on historical data on demand response subsidies and historical data on spot transaction clearing electricity prices; determining a benchmark degree of volatility based on the degree of volatility; and constructing a market mechanism price standard prediction model based on the benchmark degree of volatility.

[0132] Optionally, an aggregate declaration strategy for industrial and commercial users is constructed based on the market mechanism price standard prediction model and time-of-use electricity prices, including: constructing an optimization model based on the market mechanism price standard prediction model and time-of-use electricity prices; determining the demand response declaration quantity and spot transaction declaration quantity of different industrial and commercial users according to the optimization model; determining an aggregation group plan as the aggregate declaration strategy for industrial and commercial users according to the demand response declaration quantity and spot transaction declaration quantity of different industrial and commercial users.

[0133] Optionally, the solution of the market mechanism price standard prediction model follows preset constraints, which include: single user entity profit constraints, electric power balance constraints, source-load side equipment regulation potential constraints, demand response no under-response and over-response constraints, decision-making time and object constraints.

[0134] Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments and optional implementation modes, and this embodiment will not be described in detail here.

[0135] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0136] In some embodiments provided in the present application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0137] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed over multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0138] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0139] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

[0140] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for aggregate declaration of industrial and commercial users, characterized in that: include: Obtain information about industrial and commercial users; Access demand response, spot trading and time-of-use electricity prices; Constructing a market mechanism price standard prediction model based on the industrial and commercial user information, the demand response and the spot transaction; Based on the market mechanism price standard prediction model and the time-of-use electricity price, an industrial and commercial user aggregation declaration strategy is constructed.

2. The method for aggregate declaration of industrial and commercial users according to claim 1, characterized in that: The industrial and commercial user information includes: the number of industrial and commercial users in the region, the number of industrial and commercial user devices, the real-time load of each industrial and commercial user device, the upper and lower limits of the real-time regulation potential of each industrial and commercial user device, and the user's participation status in demand response and spot transactions.

3. The method for aggregate declaration of industrial and commercial users according to claim 2, characterized in that: The demand response includes demand response under-response and over-response ratio coefficients, demand response subsidy historical data, and the spot transaction includes spot transaction clearing electricity price historical data.

4. The method for aggregate reporting of industrial and commercial users according to claim 3 is characterized in that: The constructing of a market mechanism price standard prediction model according to the industrial and commercial user information, the demand response and the spot transaction includes: Determining the degree of oscillation according to the historical data of demand response subsidies and the historical data of spot transaction clearing electricity prices; Determining a reference oscillation degree according to the oscillation degree; According to the benchmark oscillation degree, a price standard prediction model of the market mechanism is constructed.

5. The method for aggregate declaration of industrial and commercial users according to claim 1, characterized in that: The construction of an industrial and commercial user aggregation declaration strategy based on the market mechanism price standard prediction model and the time-of-use electricity price includes: Based on the market mechanism price standard prediction model and the time-of-use electricity price, construct an optimization model; Determining the demand response declaration amount and spot transaction declaration amount of different industrial and commercial users according to the optimization model; According to the demand response declaration quantities and spot transaction declaration quantities of the different industrial and commercial users, an aggregation group plan is determined as the aggregation declaration strategy for the industrial and commercial users.

6. The method for aggregate reporting of industrial and commercial users according to claim 4, characterized in that: The solution of the market mechanism price standard prediction model follows preset constraints, which include: Single user entity profit constraints, power balance constraints, source-load side equipment regulation potential constraints, demand response no under-response and over-response constraints, decision-making time and object constraints.

7. An industrial and commercial user aggregate reporting system, characterized in that: include: The first acquisition module is used to acquire industrial and commercial user information; The second acquisition module is used to obtain demand response, spot transactions and time-of-use electricity prices; A first construction module is used to construct a market mechanism price standard prediction model according to the industrial and commercial user information, the demand response and the spot transaction; The second building module is used to build an industrial and commercial user aggregation declaration strategy based on the market mechanism price standard prediction model and the time-of-use electricity price.

8. An electronic device, characterized in that: include: A memory storing an executable program; A processor, configured to run the program, wherein the program executes the method according to any one of claims 1 to 6 when running.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored executable program, wherein when the executable program is executed, the device where the storage medium is located is controlled to execute the method according to any one of claims 1 to 6.

10. A computer program product, characterized in that The invention comprises a computer program which, when executed by a processor, implements the method according to any one of claims 1 to 6.

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