CN118014643A - Method and device for reporting spot goods in future of virtual power plant, electronic equipment and storage medium - Google Patents
Method and device for reporting spot goods in future of virtual power plant, electronic equipment and storage medium Download PDFInfo
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Abstract
The invention discloses a method, a device, electronic equipment and a storage medium for reporting a virtual power plant in stock day. The method comprises the following steps: determining an initial next-day electricity consumption reporting curve of the virtual power plant; determining a bid amount adjustment curve of a demand response target of each user based on demand response declaration data of each user acquired by the virtual power plant; and determining a target secondary electricity consumption reporting curve of the virtual power plant based on the target secondary electricity consumption adjusting curve of the demand response target of each user and the initial secondary electricity consumption reporting curve of the virtual power plant. According to the technical scheme, the target winning electricity consumption quantity adjusting curve of the demand response target of the user can be determined according to the demand response reporting data of the user, the initial daily electricity consumption quantity reporting curve of the virtual power plant is adjusted based on the winning electricity consumption quantity adjusting curve, the target daily electricity consumption quantity reporting curve is obtained, the electricity consumption quantity reporting curve meeting the demand of the user can be determined, the accuracy of the daily electricity consumption quantity reporting curve of the virtual power plant is improved, and the profit of the virtual power plant is improved.
Description
Technical Field
The invention relates to the technical field of electric power, in particular to a method and device for reporting a virtual power plant in stock day before, electronic equipment and a storage medium.
Background
Along with the promotion of the reform of the electric power system, how to better predict the daily electricity sales quantity of an electricity sales enterprise is a key problem facing the electricity sales enterprise, and whether the declared electricity sales quantity is reasonable is related to the profit condition of the electricity sales enterprise and the stability of the electric power trade market.
Currently, when electricity selling enterprises such as a virtual power plant declare daily electricity selling quantity to an electricity trading market, daily electricity selling quantity of the electricity selling enterprises is generally determined according to historical electricity consumption data of each electricity consuming enterprise. However, the electricity trade market can issue a power saving rewarding policy after reporting the daily electricity sales amount by the electricity sales enterprise, including the electricity to be saved and the power saving compensation, if the user responds to the power saving rewarding policy issued by the electricity trade market, the electricity consumption of the user will change, and the daily electricity sales amount reported by the electricity sales enterprise to the electricity trade market will deviate from the actually required electricity sales amount, so as to affect the profits of the electricity sales enterprise.
Disclosure of Invention
The invention provides a method, a device, electronic equipment and a storage medium for reporting the spot-on-date of a virtual power plant, which can determine a power consumption reporting curve meeting the requirements of users, improve the accuracy of the next-day power consumption reporting curve of the virtual power plant, and improve the profit of the virtual power plant (namely an electricity selling enterprise).
According to an aspect of the present invention, there is provided a method for reporting a virtual power plant before spot, the method comprising:
Determining an initial next-day electricity consumption reporting curve of the virtual power plant;
determining a bid amount adjustment curve of a demand response target of each user based on demand response declaration data of each user acquired by the virtual power plant;
And determining a target secondary electricity consumption reporting curve of the virtual power plant based on the target secondary electricity consumption adjusting curve of the demand response target of each user and the initial secondary electricity consumption reporting curve of the virtual power plant.
Optionally, the demand response declaration data of the user includes a user number, a respondable time period, and a respondable power consumption corresponding to the respondable time period.
Optionally, determining the bid amount adjustment curve in the demand response target of each user based on the demand response declaration data of each user acquired by the virtual power plant includes: determining an initial bid amount adjustment curve for demand response based on the respondable time period and the respondable electricity consumption corresponding to the respondable time period; based on the user number, determining a winning bid rate and winning bid demand response execution rate corresponding to the user; and determining a bid amount adjustment curve of a user's demand response target based on the bid amount adjustment curve in the bid amount, the bid amount response execution rate and the demand response initial bid amount adjustment curve.
Optionally, determining the bid amount adjustment curve of the user's demand response target based on the bid amount adjustment curve of the bid amount, the bid amount demand response execution rate, and the demand response initial bid amount adjustment curve includes: determining an expected response execution rate of the user based on the winning bid rate and the winning bid demand response execution rate; and determining a target bid amount adjustment curve of the user's demand response based on the predicted response execution rate and the initial bid amount adjustment curve of the demand response.
Optionally, determining the winning rate corresponding to the user includes: based on the user number, determining the winning bid information of the user in the preset times; and determining the winning bid rate of the user based on the preset times and winning bid information.
Optionally, determining the corresponding bid-winning demand response execution rate of the user includes: determining historical declaration data of a user based on a user number; and determining the bid-winning demand response execution rate of the user based on the historical declaration data and the actual available response power consumption of the user.
Optionally, determining the target electricity consumption reporting curve of the virtual power plant based on the target electricity consumption adjustment curve of the demand response target of each user and the initial electricity consumption reporting curve of the virtual power plant includes: determining an intermediate secondary electricity consumption reporting curve of the virtual power plant based on the target winning electricity consumption adjusting curve of the demand response target of each user and the initial secondary electricity consumption reporting curve of the virtual power plant; determining a daily declaration strategy of the spot market; and determining a target daily electricity consumption reporting curve of the virtual power plant based on the daily reporting strategy and the intermediate daily electricity consumption reporting curve.
According to another aspect of the present invention, there is provided a virtual power plant off-the-shelf daily reporting apparatus, the apparatus comprising:
the acquisition module is used for determining an initial daily electricity consumption reporting curve of the virtual power plant;
The determining module is used for determining a bid amount adjustment curve of a demand response target of each user based on demand response declaration data of each user acquired by the virtual power plant;
And the execution module is used for determining a target electricity consumption reporting curve of the virtual power plant based on the target electricity consumption regulating curve of the demand response target of each user and the initial electricity consumption reporting curve of the virtual power plant.
According to another aspect of the present invention, there is provided an electronic device including:
at least one processor; and a memory communicatively coupled to the at least one processor;
The memory stores a computer program executable by the at least one processor, so that the at least one processor can execute the method for reporting the actual power plant in stock.
According to another aspect of the present invention, there is provided a computer readable storage medium storing computer instructions for causing a processor to execute a method for off-the-shelf daily declaration of a virtual power plant according to any embodiment of the present invention.
According to the technical scheme, an initial next-day electricity consumption reporting curve of the virtual power plant is determined; determining a bid amount adjustment curve of a demand response target of each user based on demand response declaration data of each user acquired by the virtual power plant; and determining a target secondary electricity consumption reporting curve of the virtual power plant based on the target secondary electricity consumption adjusting curve of the demand response target of each user and the initial secondary electricity consumption reporting curve of the virtual power plant. The method and the device can determine the target winning electricity consumption adjustment curve of the user according to the demand response reporting data of the user, and adjust the initial daily electricity consumption reporting curve of the virtual power plant based on the target winning electricity consumption adjustment curve to obtain the target daily electricity consumption reporting curve, so that the electricity consumption reporting curve meeting the demand of the user can be determined, the accuracy of the daily electricity consumption reporting curve of the virtual power plant is improved, and the profitability of electricity selling enterprises such as the virtual power plant is improved. The problem that after a user responds to the electricity-saving rewarding policy issued by the electricity trading market, the electricity consumption of the user can be changed, the daily electricity sales amount reported by an electricity sales enterprise to the electricity trading market can deviate from the actually required electricity sales amount, and the profit of the electricity sales enterprise is affected is solved.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of a method for reporting a virtual power plant before the spot date according to an embodiment of the invention;
FIG. 2 is a schematic flow chart of a method for reporting a virtual power plant before spot date according to a second embodiment of the present invention;
Fig. 3 is a schematic structural diagram of a device for reporting a virtual power plant before spot date according to a third embodiment of the present invention;
Fig. 4 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
Fig. 1 is a schematic flow chart of a method for reporting off-the-shelf power of a virtual power plant according to an embodiment of the present invention, where the embodiment may be applicable to situations such as reporting off-the-shelf power of an electric power plant by an electric power selling enterprise such as a virtual power plant, and the method may be performed by an off-the-shelf power reporting device of the virtual power plant according to the present invention, where the device may be implemented in hardware and/or software, and in a specific embodiment, the device may be integrated into an electronic device. The following embodiment will be described taking the example of the integration of the apparatus in an electronic device, and referring to fig. 1, the method specifically includes the following steps:
s101, determining an initial daily electricity consumption reporting curve of the virtual power plant.
The virtual power plant can be understood as an electricity selling enterprise selling electricity to the electricity using unit, and the electricity selling enterprise can apply for electricity using amount from the electricity dispatching mechanism and sell the applied electricity using amount to the electricity using unit. The initial electricity consumption reporting curve can be understood as the electricity consumption of the electricity selling enterprise on the next day applied to the power dispatching mechanism according to the electricity consumption requirement of the electricity consuming unit, i.e. the electricity selling enterprise applies for the electricity consumption of the next day applied to the power dispatching mechanism.
A typical organization pattern of a day-ahead transaction in the power spot market is that a power selling unit such as an electricity selling company and wholesale user applies for the electricity consumption amount on the electricity consumption day to a power dispatching mechanism on the day before the electricity consumption day. The initial electricity consumption reporting curve is the electricity consumption reporting curve of the electricity consumption day applied by the electricity selling enterprise to the power dispatching mechanism on the previous day of the electricity consumption unit.
Specifically, the initial daily electricity consumption reporting curve may be determined by an electricity selling enterprise according to historical electricity consumption data of each electricity consumption unit, or may be determined by the electricity selling enterprise according to electricity consumption demand information of electricity consumption days sent by each electricity consumption unit, which is not limited by the embodiment of the present invention.
It is worth noting that the electricity selling side of the application refers to a virtual power plant, and the applied electricity consumption is the next daily electricity consumption.
Illustratively, the initial next-day electricity usage reporting curve is counted in time slots, e.g., divided by hours, and includes electricity usage reporting data for 24 time slots on the same day as the electricity usage day. Further, the price of electricity in different time periods is different, and the setting has the advantage that the price of electricity purchased and sold by an electricity selling enterprise can be accurately determined so as to calculate the profit of the electricity selling enterprise.
S102, determining a bid amount adjustment curve of a demand response target of each user based on demand response declaration data of each user acquired by the virtual power plant.
After receiving the initial daily electricity consumption reporting curve sent by each electricity selling enterprise, the electric power dispatching mechanism can combine the time-sharing power generation output curve and the time-sharing node electricity price of each power plant to perform centralized optimization and clearing, and determine the target electricity saving amount and the electricity saving rewards of the electricity consumption day. The electricity consumption unit may determine whether to respond to the electricity saving activity transmitted by the electricity scheduling mechanism based on the production situation of the electricity consumption unit, the target electricity saving amount of the electricity consumption day transmitted by the electricity scheduling mechanism, and the electricity saving prize.
The demand response reporting data of the user can be understood as electricity saving information sent by an electricity consumption unit, and the demand response reporting data of the user comprises a user number, a respondable time period, respondable electricity consumption corresponding to the respondable time period and a reporting response price. Specifically, the user number can be understood as identification information of the electricity consumption units, and is used for identifying and confirming each electricity consumption unit; the responding time period can be understood as a time period in which the user can reduce electricity consumption, the responding electricity consumption corresponding to the responding time period can be understood as the electricity consumption which the user can reduce in the responding time period, and the reporting response price can be understood as the unit price of electricity consumption saving of the electricity consumption unit, namely the price of electricity consumption at one time.
Specifically, after receiving the demand response reporting data of each electricity consumption unit, the power dispatching mechanism evaluates the electricity consumption unit based on the respondable time period of the electricity consumption unit, the respondable electricity consumption amount corresponding to the respondable time period and the reporting response price, and determines the winning electricity consumption unit. The target electricity amount adjustment curve of the demand response target can be understood as the electricity amount adjustment curve of the target electricity unit. Further, the bid amount adjustment curve in the demand response target includes a respondable time period of the electricity consumption unit and a respondable electricity consumption amount corresponding to the respondable time period.
The method has the advantages that the actual condition of the electricity utilization unit, the target electricity saving amount of the electricity utilization day of the electricity dispatching mechanism and the electricity saving rewards can be combined to determine the target bid amount adjustment curve of the demand response target of the electricity utilization unit, so that the reporting curve of an electricity selling enterprise can be adjusted.
And S103, determining a target electricity consumption reporting curve of the virtual power plant based on the target electricity consumption regulating curve of the demand response target of each user and the initial electricity consumption reporting curve of the virtual power plant.
The initial next-day electricity consumption reporting curve of the virtual power plant is an electricity consumption reporting curve determined based on the electricity consumption of each electricity consumption unit under normal conditions, and does not contain the demand response of each electricity consumption unit; the bid amount adjustment curve in the user's demand response target can be understood as the demand response of each electricity consumption unit. The target electricity consumption reporting curve can be understood as the electricity consumption reporting curve of the post-sales enterprise in response to the demand of the electricity consumption unit.
The demand response may be understood as a behavior of the electricity consumption unit to respond to the power supply by changing its inherent electricity consumption pattern to reduce or shift the electricity consumption load for a certain period after receiving the direct compensation notification of the induced reduced load sent by the power dispatching mechanism.
For example, an electricity vending enterprise may serve multiple electricity units, and a target electricity consumption reporting curve of the virtual power plant may be determined based on target winning electricity amount adjustment curves and initial electricity consumption reporting curves of the virtual power plant for each electricity unit served by the electricity vending enterprise.
The power consumption reporting curve meeting the user requirements can be determined, the accuracy of the power consumption reporting curve of the virtual power plant is improved, the problem that electricity purchasing of an electricity selling enterprise is excessive and the electricity purchasing enterprise cannot be sold in time is avoided, and the profit of the electricity selling enterprise is improved.
According to the technical scheme, an initial next-day electricity consumption reporting curve of the virtual power plant is determined; determining a bid amount adjustment curve of a demand response target of each user based on demand response declaration data of each user acquired by the virtual power plant; and determining a target secondary electricity consumption reporting curve of the virtual power plant based on the target secondary electricity consumption adjusting curve of the demand response target of each user and the initial secondary electricity consumption reporting curve of the virtual power plant. The method and the device can determine the target winning electricity consumption adjustment curve of the user according to the demand response reporting data of the user, and adjust the initial daily electricity consumption reporting curve of the virtual power plant based on the target winning electricity consumption adjustment curve to obtain the target daily electricity consumption reporting curve, so that the electricity consumption reporting curve meeting the demand of the user can be determined, the accuracy of the daily electricity consumption reporting curve of the virtual power plant is improved, and the profitability of electricity selling enterprises such as the virtual power plant is improved. The problem that after a user responds to the electricity-saving rewarding policy issued by the electricity trading market, the electricity consumption of the user can be changed, the daily electricity sales amount reported by an electricity sales enterprise to the electricity trading market can deviate from the actually required electricity sales amount, and the profit of the electricity sales enterprise is affected is solved.
Example two
Fig. 2 is a flow chart of a method for reporting off-the-shelf power of a virtual power plant according to a second embodiment of the present invention, where the embodiment is applicable to situations such as reporting off-the-shelf power of an electric power plant by an electric power business such as a virtual power plant, and the method may be performed by an off-the-shelf power reporting device of the virtual power plant according to the present invention, where the device may be implemented in hardware and/or software, and in a specific embodiment, the device may be integrated in an electronic device. The following embodiment will be described taking the example of the integration of the device in an electronic apparatus, and referring to fig. 2, the method specifically includes the following steps:
S201, determining an initial daily electricity consumption reporting curve of the virtual power plant.
Specifically, determining the initial daily electricity consumption reporting curve of the virtual power plant can be understood as determining the reporting curve of the daily electricity consumption applied to the power dispatching mechanism by the electricity selling enterprise according to the electricity consumption requirement of the electricity consumption unit.
S202, determining an initial bid amount adjustment curve of demand response based on the respondable time period and the respondable power consumption corresponding to the respondable time period.
Specifically, after receiving the initial daily electricity consumption reporting curve sent by each electricity selling enterprise, the power dispatching mechanism performs centralized optimization and clearing by combining the time-sharing power generation output curve and the time-sharing node electricity price of each power plant, and determines the target electricity saving amount and the electricity saving rewards of the electricity consumption day. The electricity consumption unit may determine whether to respond to the electricity saving activity transmitted by the electricity scheduling mechanism based on the production situation of the electricity consumption unit, the target electricity saving amount of the electricity consumption day transmitted by the electricity scheduling mechanism, and the electricity saving prize.
If the electricity consumption unit responds to the electricity saving activity sent by the electricity dispatching mechanism, the time period of the reducible electricity consumption and the electricity consumption which can be reduced in the time period can be determined according to the production condition of the electricity consumption unit, and the initial nominal electricity consumption adjustment curve of the demand response can be understood as an electricity consumption adjustment curve consisting of the time period of the reducible electricity consumption of the electricity consumption unit and the electricity consumption which can be reduced in each time period of the reducible electricity consumption.
Demand response initial bid amount adjustment curveWherein i represents a time period of electricity consumption day, j represents a respondable time period, and Δq i represents a respondable electricity consumption amount corresponding to the respondable time period.
S203, determining the winning bid rate and winning bid demand response execution rate corresponding to the user based on the user number.
After receiving the declaration data of each electricity consumption unit, the power dispatching mechanism evaluates the electricity consumption unit based on the respondable time period of the electricity consumption unit, the respondable electricity consumption amount corresponding to the respondable time period and the declaration response price, and determines the winning electricity consumption unit. The winning rate corresponding to the user can be understood as the probability that the electricity usage unit becomes the winning electricity usage unit.
After the electricity consumption unit becomes the winning electricity consumption unit, the actual available electricity consumption of the available response time period and the declared available electricity consumption of the available response time period may be different, and the winning demand response execution rate may be understood as the difference between the actual available electricity consumption of the electricity consumption unit and the declared available electricity consumption of the available response time period, so as to measure the response condition of the available electricity consumption of the electricity consumption unit.
Specifically, after the demand response declaration data of each user is acquired by the virtual power plant, the winning rate and winning demand response execution rate corresponding to the user can be called based on the user number of the user.
Winning rate of usersWherein, the winning rate represents the probability that the electricity unit becomes the winning electricity unit this time, 0 is the lower limit of the declaration price of the demand response, R P is the declaration response price, and f (x) is the probability density function of the winning price of the demand response history.
Optionally, determining the winning rate corresponding to the user may further include: based on the user number, determining the winning bid information of the user in the preset times; and determining the winning bid rate of the user based on the preset times and winning bid information.
The preset times can be adjusted according to the judgment standard of the winning user, and the embodiment of the invention is not limited to the adjustment.
Specifically, the winning probability of the electricity unit may be determined according to the winning information of the user unit within the preset times, for example, when the electricity unit performs 5 times of declaration and wins 4 times, the winning rate of the user is determined to be 80%. The advantage of this arrangement is that it can be used as a guide for the next reporting of the electricity consumption unit, so that the electricity consumption unit can adjust the reporting data.
Optionally, determining the corresponding bid-winning demand response execution rate of the user includes: determining historical declaration data of a user based on a user number; and determining the bid-winning demand response execution rate of the user based on the historical declaration data and the actual available response power consumption of the user.
The historical reporting data of the user comprises a responding time period and reporting responding electricity consumption corresponding to the responding time period. And determining the winning bid demand response execution rate of the user based on the respondable time period, the declared respondable power consumption corresponding to the respondable time period and the actual respondable power consumption corresponding to the respondable time period. Specifically, the electricity utilization unit responds to the execution rate of the bid-winning demand in the kthS represents preset times, n represents the time period number of the current demand response, and r j is the response execution rate of the electricity utilization unit in the j time period. Further, the response execution rate of the electricity consumption unit in the j period/>Where Δq j represents the declared available power for a respondable time period, and Δq' j represents the actual available power for a respondable time period.
S204, determining a bid amount adjustment curve of a user' S demand response target based on the bid amount adjustment curve, the bid amount demand response execution rate and the demand response initial bid amount adjustment curve.
The target bid amount adjustment curve in the demand response target is related to the predicted response execution rate of the electricity consumption unit. Determining a bid amount adjustment curve for a user's demand response target based on the bid amount adjustment curve for the user's bid amount, the bid amount response execution rate, and the demand response initial bid amount adjustment curve, comprising: determining an expected response execution rate of the user based on the winning bid rate and the winning bid demand response execution rate; and determining a target bid amount adjustment curve of the user's demand response based on the predicted response execution rate and the initial bid amount adjustment curve of the demand response.
The projected response execution rate of the electricity usage units may be determined based on the winning demand response execution rate of the electricity usage units in k. Specifically, the predicted response execution rate of the electricity consumption unitWherein s represents preset times, and the power utilization unit P k responds to the execution rate of the winning bid requirement in the kth.
For example, the demand response initial bid amount adjustment curve of the electricity consumption unit can be adjusted based on the expected response execution rate of the electricity consumption unit, and the demand response target bid amount adjustment curve of the electricity consumption unit is obtained.
In particular, the method comprises the steps of,Wherein/>Indicating a bid amount adjustment curve of a user's demand response target,/>Represents an initial bid amount adjustment curve for demand response,/>Representing the predicted response execution rate of the electricity consumption unit,/>The initial next-day electricity consumption reporting curve of the user is shown, i is the time period of the electricity consumption day, j is the responding time period, and min is the actual electricity consumption of the time period for avoiding that the adjusted electricity consumption exceeds the electricity consumption day after the execution rate correction.
S205, determining an intermediate electricity consumption reporting curve of the virtual power plant based on the winning electricity consumption adjusting curve of the demand response target of each user and the initial electricity consumption reporting curve of the virtual power plant.
The electricity consumption reporting curve of the intermediate electricity consumption unit can be understood as an electricity consumption reporting curve of the demand response of the electricity consumption unit. For example, assuming that the initial daily electricity consumption reporting curve reports 500 degrees of electricity for 24 time periods, and the demand response target standard electricity consumption adjusting curve reports 50 degrees of electricity for 24 time periods, the intermediate daily electricity consumption reporting curve reports 450 degrees of electricity for 24 time periods.
Intermediate electricity consumption reporting curve of virtual power plantWherein/>Representing an initial next-day power consumption reporting curve of a virtual power plant,/>The user demand response target bid amount adjustment curve is represented, P P represents the bid amount of the user, i represents the time period of the electricity consumption day, and N represents the number of users reporting demand response.
S206, determining a daily declaration strategy of the spot market.
The spot market is understood to be, among other things, selling an existing electricity resource market. The price of the current electricity may be lower or higher than the price of electricity produced on the day of electricity consumption, so the purchase amount of the current electricity may have an adjustment range, and the user may adjust his own electricity purchasing scheme so as to improve the profitability. The daily reporting policy may be understood as a scheme of purchasing electricity consumption, for example, purchasing coefficients of electricity consumption corresponding to each time period, for example, 0.8, 0.9, 1.1, 1.2, etc., and the specific daily reporting policy is related to an electricity selling rule of the spot market, which is not limited by the embodiment of the present invention.
Specifically, the coefficient of the power consumption corresponding to each time period is purchased to set the coefficient upper limit and the coefficient lower limit, so that the phenomenon that the power selling enterprise excessively stores power or does not purchase power is avoided, and the power market can be stabilized.
S207, determining a target daily electricity consumption reporting curve of the virtual power plant based on a daily reporting strategy and the intermediate daily electricity consumption reporting curve.
Specifically, determining the target daily electricity consumption reporting curve of the virtual power plant based on the daily electricity consumption reporting strategy and the intermediate daily electricity consumption reporting curve can be understood as determining the reporting curve of the electricity consumption of each time period according to the electricity consumption of each time period and the daily electricity consumption reporting strategy. If the current electricity price of a certain time period is considered to be higher or lower than the price of electricity produced on the current day of electricity consumption by the electricity selling enterprises, the electricity consumption reporting curve of the electricity selling enterprises can be adjusted by modifying the daily reporting strategy corresponding to the time period so as to improve the profit.
The target electricity usage reporting curve q=q i*Xi (i=1, 2,3,4, …, 24) for the virtual power plant, where Q i represents the intermediate electricity usage reporting curve for the virtual power plant, X i represents the day before reporting strategy, and i represents the time period of the electricity day.
The method and the system can comprehensively consider the risk and the income of load adjustment, obtain the target daily electricity consumption reporting curve of the virtual power plant in consideration of the demand response and the spot daily market quotation strategy, and reduce the economic loss caused by the uncertainty of the bid in the demand response and the load adjustment deviation to the daily trade of the electricity selling enterprises.
It is noted that the electricity consumption applied by the electricity selling enterprises and the electricity consuming units and the proposed responsive electricity consumption are the electricity consumption of the second day in the embodiment.
According to the technical scheme, an initial next-day electricity consumption reporting curve of the virtual power plant is determined; determining an initial bid amount adjustment curve for demand response based on the respondable time period and the respondable electricity consumption corresponding to the respondable time period; based on the user number, determining a winning bid rate and winning bid demand response execution rate corresponding to the user; determining a bid amount adjustment curve of a user's demand response target based on the bid amount adjustment curve in the bid amount response execution rate, the bid amount response execution rate and the demand response initial bid amount adjustment curve; determining an intermediate secondary electricity consumption reporting curve of the virtual power plant based on the target winning electricity consumption adjusting curve of the demand response target of each user and the initial secondary electricity consumption reporting curve of the virtual power plant; determining a daily declaration strategy of the spot market; and determining a target daily electricity consumption reporting curve of the virtual power plant based on the daily reporting strategy and the intermediate daily electricity consumption reporting curve. The method and the device can determine an initial bid amount adjustment curve, a bid amount rate and a bid amount demand response execution rate of the user according to demand response reporting data of the user, adjust the initial bid amount adjustment curve of the user according to the bid amount demand response, obtain a real demand response target bid amount adjustment curve of the user, adjust an initial daily electricity consumption reporting curve of the virtual power plant according to the demand response target bid amount adjustment curve, obtain a target daily electricity consumption reporting curve, determine the electricity consumption reporting curve meeting the user demand, improve accuracy of the daily electricity consumption reporting curve of the virtual power plant and improve profit of the virtual power plant. The problem that after a user responds to the electricity-saving rewarding policy issued by the electricity trading market, the electricity consumption of the user can be changed, the daily electricity sales amount reported by an electricity sales enterprise to the electricity trading market can deviate from the actually required electricity sales amount, and the profit of the electricity sales enterprise is affected is solved.
Example III
Fig. 3 is a schematic structural diagram of a device for reporting a virtual power plant before spot date according to a third embodiment of the present invention. As shown in fig. 3, the apparatus includes: an acquisition module 301, a determination module 302 and an execution module 303.
The obtaining module 301 is configured to determine an initial next-day electricity consumption reporting curve of the virtual power plant.
The determining module 302 is configured to determine a bid amount adjustment curve in a demand response target of each user based on demand response declaration data of each user acquired by the virtual power plant.
The execution module 303 is configured to determine a target electricity consumption reporting curve of the virtual power plant based on the target electricity consumption adjustment curve of the demand response target of each user and the initial electricity consumption reporting curve of the virtual power plant.
Optionally, the demand response declaration data of the user includes a user number, a respondable time period, and a respondable power consumption corresponding to the respondable time period.
Optionally, the determining module 302 is specifically configured to determine an initial bid amount adjustment curve in the demand response based on the respondable time period and the respondable electricity consumption amount corresponding to the respondable time period; based on the user number, determining a winning bid rate and winning bid demand response execution rate corresponding to the user; and determining a bid amount adjustment curve of a user's demand response target based on the bid amount adjustment curve in the bid amount, the bid amount response execution rate and the demand response initial bid amount adjustment curve.
Optionally, the determining module 302 is specifically configured to determine an expected response execution rate of the user based on the winning bid rate and the winning bid demand response execution rate; and determining a target bid amount adjustment curve of the user's demand response based on the predicted response execution rate and the initial bid amount adjustment curve of the demand response.
Optionally, the determining module 302 is specifically configured to determine, based on the user number, winning bid information of the user within a preset number of times; and determining the winning bid rate of the user based on the preset times and winning bid information.
Optionally, the determining module 302 is specifically configured to determine historical declaration data of the user based on the user number; and determining the bid-winning demand response execution rate of the user based on the historical declaration data and the actual available response power consumption of the user.
Optionally, the executing module 303 is specifically configured to determine an intermediate electricity consumption reporting curve of the virtual power plant based on the target winning electricity consumption adjustment curve of the demand response target of each user and the initial electricity consumption reporting curve of the virtual power plant; determining a daily declaration strategy of the spot market; and determining a target daily electricity consumption reporting curve of the virtual power plant based on the daily reporting strategy and the intermediate daily electricity consumption reporting curve.
The virtual power plant spot day-ahead reporting device provided by the embodiment of the invention can execute the virtual power plant spot day-ahead reporting method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
Example IV
Fig. 4 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 4, the electronic device 10 includes at least one processor 11, and a memory, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the at least one processor 11, in which the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM 12 and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
Various components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, etc.; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 11 performs the various methods and processes described above, such as the virtual power plant off-the-shelf daily reporting method.
In some embodiments, the virtual power plant off-the-shelf daily declaration method may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the virtual power plant off-the-shelf daily declaration method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the virtual power plant off-the-shelf daily reporting method in any other suitable manner (e.g., by means of firmware).
Various implementations of the systems and techniques described here above can be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component through which a user can interact with an implementation of the systems and techniques described here, or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.
Claims (10)
1. A method for reporting a virtual power plant before spot date, comprising:
Determining an initial next-day electricity consumption reporting curve of the virtual power plant;
Determining a bid amount adjustment curve of a demand response target of each user based on demand response declaration data of each user acquired by the virtual power plant;
and determining a target daily electricity consumption reporting curve of the virtual power plant based on the target bid electricity consumption adjusting curve of the demand response target of each user and the initial daily electricity consumption reporting curve of the virtual power plant.
2. The method of claim 1, wherein the demand response declaration data of the user includes a user number, a respondable time period, and a respondable power consumption amount corresponding to the respondable time period.
3. The method of claim 2, wherein determining a bid amount adjustment curve for each of the user's demand response targets based on demand response declaration data for each of the users acquired by the virtual power plant comprises:
Determining an initial bid amount adjustment curve of demand response based on the respondable time period and the respondable electricity consumption corresponding to the respondable time period;
Based on the user number, determining a winning bid rate and a winning bid demand response execution rate corresponding to the user;
And determining a bid amount adjustment curve of the user's demand response target based on the bid amount adjustment curve, the bid amount response execution rate and the demand response initial bid amount adjustment curve.
4. The method of claim 3, wherein the determining a demand response target bid amount adjustment profile for the user based on the bid amount, the bid amount demand response execution rate, and the demand response initial bid amount adjustment profile comprises:
Determining an expected response execution rate of the user based on the winning bid rate and the winning bid demand response execution rate;
And determining a target bid amount adjustment curve of the user's demand response target based on the predicted response execution rate and the initial bid amount adjustment curve of the demand response.
5. The method of claim 3, wherein the determining the winning rate corresponding to the user comprises:
based on the user number, determining the winning bid information of the user in the preset times;
and determining the winning bid rate of the user based on the preset times and the winning bid information.
6. The method of claim 3, wherein determining the bid-winning demand response execution rate corresponding to the user comprises:
Determining historical declaration data of the user based on the user number;
And determining the bid winning demand response execution rate of the user based on the historical declaration data and the actual available response power consumption of the user.
7. The method of claim 1, wherein determining the target secondary daily electrical quantity declaration curve for the virtual power plant based on the target winning electrical quantity adjustment curve for each of the user's demand response and the initial secondary daily electrical quantity declaration curve for the virtual power plant comprises:
determining an intermediate daily electricity consumption reporting curve of the virtual power plant based on the target winning electricity consumption adjusting curve of the demand response target of each user and the initial daily electricity consumption reporting curve of the virtual power plant;
Determining a daily declaration strategy of the spot market;
and determining a target daily electricity consumption reporting curve of the virtual power plant based on the daily electricity consumption reporting strategy and the intermediate daily electricity consumption reporting curve.
8. A virtual power plant spot day-ahead reporting device, comprising:
the acquisition module is used for determining an initial daily electricity consumption reporting curve of the virtual power plant;
The determining module is used for determining a bid amount adjustment curve of a demand response target of each user based on the demand response declaration data of each user acquired by the virtual power plant;
and the execution module is used for determining a target daily electricity consumption reporting curve of the virtual power plant based on the target bid electricity consumption adjusting curve of the demand response target of each user and the initial daily electricity consumption reporting curve of the virtual power plant.
9. An electronic device, the electronic device comprising:
at least one processor; and a memory communicatively coupled to the at least one processor;
Wherein the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the virtual power plant off-the-shelf daily declaration method of any of claims 1 to 7.
10. A computer readable storage medium storing computer instructions for causing a processor to implement the virtual power plant off-the-shelf daily declaration method of any of claims 1 to 7 when executed.
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| CN202410186962.4A CN118014643A (en) | 2024-02-20 | 2024-02-20 | Method and device for reporting spot goods in future of virtual power plant, electronic equipment and storage medium |
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| CN202410186962.4A CN118014643A (en) | 2024-02-20 | 2024-02-20 | Method and device for reporting spot goods in future of virtual power plant, electronic equipment and storage medium |
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