CN114493248A - Load aggregation management method and device and electronic equipment - Google Patents

Load aggregation management method and device and electronic equipment Download PDF

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CN114493248A
CN114493248A CN202210082227.XA CN202210082227A CN114493248A CN 114493248 A CN114493248 A CN 114493248A CN 202210082227 A CN202210082227 A CN 202210082227A CN 114493248 A CN114493248 A CN 114493248A
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response
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袭著佳
王振华
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Xinao Shuneng Technology Co Ltd
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Abstract

The disclosure relates to the technical field of energy, and provides a load aggregation management method and device and electronic equipment. The method comprises the following steps: acquiring load scheduling offer information sent by a load scheduler, and sending the load scheduling offer information to a plurality of energy users, wherein the load scheduling offer information comprises a scheduling time interval and a scheduling demand; receiving scheduling response confirmation information fed back by an energy user, wherein the scheduling response confirmation information comprises a response time interval and a response load amount, the response time interval is at least one section of the scheduling time interval, and the response load amount is less than or equal to a scheduling demand amount; screening out at least one target responder from the energy users which feed back the scheduling response confirmation information; and issuing a scheduling control command to the target responder to control the target responder to complete the response load in the response time period. The method and the device can accurately guide the energy utilization party to participate in energy utilization scheduling demand response, improve the energy utilization load rate and the energy utilization efficiency of the energy utilization party, and effectively relieve the load energy supply and demand pressure.

Description

Load aggregation management method and device and electronic equipment
Technical Field
The present disclosure relates to the field of energy technologies, and in particular, to a load aggregation management method and apparatus, and an electronic device.
Background
With the rapid development of social economy, the load requirements (such as power load requirements) of China gradually increase, the supply and demand pressure continuously increases, but the flexibly scheduled power generation reserve capacity continuously decreases, and the requirement for maintaining the supply and demand balance of a power grid by adjusting the output of a controllable unit cannot be met.
According to research and analysis, although demand response resources of demand-side users are abundant, the load rate and energy utilization (such as electricity utilization) efficiency are low. In addition, most of small and medium-sized enterprise users cannot directly participate in power grid dispatching, and the fact that the users cannot directly participate in power grid dispatching also becomes one of important factors for restricting the dispatching of response loads on the demand side.
Therefore, it is highly desirable to provide a method capable of accurately guiding a user side (energy user) to participate in energy utilization scheduling demand response to improve energy utilization load rate and energy utilization efficiency, thereby relieving the current load energy supply and demand pressure.
Disclosure of Invention
In view of this, the embodiments of the present disclosure provide a load aggregation management method, a load aggregation management apparatus, and an electronic device, so as to provide a method that can accurately guide an energy user to participate in an energy usage scheduling demand response, so as to improve an energy usage load rate and energy utilization efficiency, thereby relieving the current load energy supply and demand pressure.
In a first aspect of the embodiments of the present disclosure, a load aggregation management method is provided, including:
acquiring load scheduling offer information sent by a load scheduler, and sending the load scheduling offer information to a plurality of energy users, wherein the load scheduling offer information comprises scheduling time intervals and scheduling demand;
receiving scheduling response confirmation information fed back by at least one energy user, wherein the scheduling response confirmation information comprises a response time interval and a response load amount, the response time interval is at least one section of the scheduling time interval, and the response load amount is less than or equal to a scheduling demand amount;
screening at least one target responder from at least one energy consumer which feeds back scheduling response confirmation information;
and issuing a scheduling control command to the target responder to control the target responder to complete the response load in the response time period.
In a second aspect of the embodiments of the present disclosure, there is provided a load aggregation management apparatus, including:
the information acquisition module is configured to acquire load scheduling invitation information issued by a load scheduling party and issue the load scheduling invitation information to a plurality of energy users, wherein the load scheduling invitation information comprises a scheduling time interval and a scheduling demand;
the information receiving module is configured to receive scheduling response confirmation information fed back by at least one energy using party, the scheduling response confirmation information comprises a response time interval and a response load amount, the response time interval is at least one section in the scheduling time interval, and the response load amount is smaller than or equal to the scheduling demand amount;
the screening module is configured to screen out at least one target responder from the at least one energy consumer which feeds back the scheduling response confirmation information;
and the control module is configured to issue a scheduling control command to the target responder so as to control the target responder to complete the response load amount in the response time period.
In a third aspect of the embodiments of the present disclosure, an electronic device is provided, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the steps of the above method when executing the computer program.
Compared with the prior art, the embodiment of the disclosure has the advantages that at least: the method comprises the steps that load scheduling offer information issued by a load scheduler is obtained and issued to a plurality of energy users, wherein the load scheduling offer information comprises scheduling time intervals and scheduling demand; receiving scheduling response confirmation information fed back by at least one energy user, wherein the scheduling response confirmation information comprises a response time interval and a response load amount, the response time interval is at least one section of the scheduling time interval, and the response load amount is less than or equal to a scheduling demand amount; screening at least one target responder from at least one energy consumer which feeds back scheduling response confirmation information; and dispatching control commands are issued to the target response party to control the target response party to finish the response load in the response time period, so that the energy utilization party can be accurately guided to participate in the energy utilization dispatching demand response, the energy utilization load rate and the energy utilization efficiency of the energy utilization party are improved, and the load energy supply and demand pressure can be effectively relieved.
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To more clearly illustrate the technical solutions in the embodiments of the present disclosure, the drawings needed for the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present disclosure, and other drawings can be obtained by those skilled in the art without inventive efforts.
FIG. 1 is a scenario diagram of an application scenario of an embodiment of the present disclosure;
fig. 2 is a schematic flowchart of a load aggregation management method provided in an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of a load aggregation management apparatus according to an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of an electronic device provided in an embodiment of the present disclosure.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the disclosed embodiments. However, it will be apparent to one skilled in the art that the present disclosure may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present disclosure with unnecessary detail.
A load aggregation management method and apparatus according to an embodiment of the present disclosure will be described in detail below with reference to the accompanying drawings.
Fig. 1 is a scene schematic diagram of an application scenario of an embodiment of the present disclosure. The application scenario may include a load aggregation management platform 101, a plurality of energy consumers 102 communicatively connected to the load aggregation management platform 101, and a load scheduler 103 communicatively connected to the load aggregation management platform 101.
The load aggregation management platform 101 may be a server providing various services, for example, a backend server receiving information sent by the plurality of energy users 102 establishing communication connections with the server, and the backend server may receive and analyze information sent by the terminal device and generate a processing result. The server may be one server, or a server cluster composed of a plurality of servers, or may also be one cloud computing service center, which is not limited in this disclosure.
The server may be hardware or software. When the server is hardware, it may be various electronic devices that provide various services to the plurality of energy consumers 102. When the server is software, it may be multiple software or software modules that provide various services for multiple energy consumers 102, or may be a single software or software module that provides various services for multiple energy consumers 102, which is not limited by the embodiment of the present disclosure.
The energy consumers 102 may be load energy demand (utilization) consumers distributed in various regions, and may use terminal devices to perform communication connection with the load aggregation management platform 101. The terminal device may be hardware or software. When the terminal device is hardware, it may be various electronic devices having a display screen and supporting communication with the server, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like; when the terminal device is software, it may be installed in the electronic device as above. The terminal device may be implemented as a plurality of software or software modules, or may be implemented as a single software or software module, which is not limited in the embodiments of the present disclosure. Further, various applications, such as a data processing application, an instant messaging tool, social platform software, a search application, and the like, may be installed on the terminal device.
The load scheduling party 103 may be various load energy scheduling parties (e.g., a power grid scheduling party, a gas scheduling party, etc.). The load dispatcher 103 establishes a communication connection with the load aggregation management platform 101 through a server capable of providing various services, and receives and processes data uploaded by the load aggregation management platform 101.
In the embodiment of the present disclosure, the energy consuming party 102 may establish a communication connection with the load aggregation management platform 101 through a terminal device via a network to receive or transmit information and the like. Specifically, after acquiring the load scheduling offer information issued by the load scheduler, the load aggregation management platform 101 may issue the load scheduling offer information to multiple energy users, where the load scheduling offer information includes a scheduling period and a scheduling demand; then, receiving scheduling response confirmation information fed back by at least one energy user, wherein the scheduling response confirmation information comprises a response time interval and a response load amount, the response time interval is at least one section of the scheduling time interval, and the response load amount is less than or equal to the scheduling demand amount; screening at least one target responder from at least one energy user which feeds back scheduling response confirmation information; and then, a dispatching control command is issued to the target responder to control the target responder to finish responding the load in a response time period, so that the energy consumer can be accurately guided to participate in energy utilization dispatching demand response, the energy utilization load rate and the energy utilization efficiency of the energy consumer are improved, and the load energy supply and demand pressure can be effectively relieved.
It should be noted that specific types, numbers, and combinations of the terminal device and the server may be adjusted according to actual requirements of application scenarios, which is not limited in the embodiment of the present disclosure.
Fig. 2 is a schematic flowchart of a load aggregation management method according to an embodiment of the present disclosure. The load aggregation management method of fig. 2 may be performed by the load aggregation management platform 101 of fig. 1. As shown in fig. 2, the load aggregation management method includes:
step S201, acquiring the load scheduling offer information delivered by the load scheduler, and delivering the load scheduling offer information to a plurality of energy users, where the load scheduling offer information includes a scheduling time interval and a scheduling demand.
As an example, 1 day of 24 hours may be divided into 96 time periods with a granularity of 15 minutes, where each time period corresponds to 15 minutes. A time period number may be set for each time period from 1 point 0 to 24 points 0, for example, 1 point 0 to 1 point 15 to time period 01, 1 point 15 to 1 point 30 to time period 02 … …, and so on, and 23 point 45 to 24 points 0 to time period 96. The scheduling period may be a subset or a full set of the 96 time periods.
The scheduling demand refers to a load energy scheduling amount (e.g., an electricity utilization amount, a water utilization amount, a gas utilization amount, etc.) corresponding to the scheduling period. Specifically, the scheduling demand may be a total scheduling demand of all scheduling periods in the load scheduling offer information, or may also be a scheduling demand corresponding to each scheduling period in the load scheduling offer information. For example, the scheduling period is period 01, 02, 04, 05, and the scheduling demand may be a total demand of the 4 scheduling periods, or may be four demands corresponding to the four periods.
In the disclosed embodiment, the load scheduling offer information includes three types, the first is a day-ahead offer, the second is an intra-day offer, and the third is a real-time offer. The day-ahead invitation refers to that the load scheduling party issues load scheduling invitation information to the load aggregation management platform one day before a response day (namely, the day before the load aggregation management platform and the energy utilization party agree to respond to the invitation), the load aggregation management platform issues the load scheduling invitation information to a plurality of energy utilization parties, and agrees a specific invitation response plan with the energy utilization parties, and the load is adjusted according to the agreed invitation response plan in the response day (namely, the next day) to obtain the scheduling demand. The intra-day invitation refers to that the load scheduling party issues the load scheduling invitation information to the load aggregation management platform 4 hours before the response day (namely, 4 hours before the load aggregation management platform and the energy using party agree to respond to the invitation). The real-time invitation refers to that the load aggregation management platform and the energy utilization party utilize the load energy (such as electric energy) online monitoring and operation management system to achieve a response target (namely scheduling demand) within 5 minutes after receiving the load scheduling invitation information sent by the load scheduling party.
The load aggregation management platform disclosed by the invention can meet the requirements of an economic level and can ensure the feasibility of load aggregation on a technical level. The application of the technical level is embodied in the aspects of frequency modulation, peak shaving, stabilization of renewable energy fluctuation and the like. In addition, the load aggregation management platform disclosed by the invention is used as a market main body, and has an important role in relieving the power grid peak power demand and relieving the expansion of power generation and transmission capacity. For example, the day-ahead benefit maximization of energy storage cost can be overcome, the overall response capability is improved, the interruptible load power utilization decision right of the energy utilization party is obtained through contract with the energy utilization party, and the feasibility of load scheduling is ensured. Scheduling is arranged according to the consumption and the allocation right of the energy users from high to low, and the economic benefit of the energy users is guaranteed.
Step S202, receiving scheduling response confirmation information fed back by at least one energy user, wherein the scheduling response confirmation information comprises a response time interval and a response load amount, the response time interval is at least one section in the scheduling time interval, and the response load amount is less than or equal to the scheduling demand amount.
As an example, after receiving the load scheduling offer information issued by the load scheduler (such as a power grid platform), the load aggregation management platform 101 may forward the load scheduling offer information to a plurality of energy users belonging to its management, so that the energy users can know specific contents (including scheduling periods and scheduling demand amounts) in the load scheduling offer information, determine, according to actual demands of respective production energy, which scheduling period the load energy scheduling is specifically responded to, determine, specifically, a response load amount of the scheduling period the load energy scheduling is responded to, and then feed back scheduling response confirmation information to the load aggregation management platform 101.
For example, it is assumed that the scheduling period in the load scheduling offer information includes time periods 01, 05, 06, and 85, and the scheduling demand (e.g., the total scheduling demand of the four time periods) is X ten million hours. And the load aggregation management platform issues the load scheduling invitation information to the energy users 01, 02 and 03. Then, taking energy user 01 as an example, when it receives the offer information, it determines that it can respond to scheduling periods 01 and 05 according to its actual production demand, and the response load amounts of these two scheduling periods are X1 and X2 kilowatt-hours, respectively, then schedule response confirmation information (response period is 01 (corresponding to response load amount of X1 kilowatt-hours) and 05 (corresponding to response load amount of X2 kilowatt-hours)) can be fed back to the load aggregation management platform 101.
And S203, screening out at least one target responder from the at least one energy using party which feeds back the scheduling response confirmation information.
In one embodiment, at least one target responder may be screened out according to the following steps:
and obtaining historical load response data of at least one energy user feeding back the scheduling response confirmation information, wherein the historical load response data comprises an actual response amount, average adjusting power in a preset time length range after response starting and a time stamp feeding back the scheduling response confirmation information.
Determining the response score of each energy user according to historical load response data;
at least one target responder is determined based on the response scores.
As an example, assuming that the load aggregation management platform 101 receives the scheduling response confirmation information fed back by the energy users 01, 02, and 03, historical load response data of the energy users 01, 02, and 03 may be further obtained, specifically, historical actual response amounts of the energy users 01, 02, and 03, an average adjusted power within a preset time length range after response start, and a timestamp of feeding back the scheduling response confirmation information are obtained.
As an example, historical load response data of each energy consumer may be collected and stored in the big data platform, and when the energy consumer needs to use the load aggregation management platform may call the historical load response data of the corresponding energy consumer through a uniform API interface (program interface) provided by the big data platform.
In an embodiment, the load offer information includes an offer power. Determining the response score of each energy user according to the historical load response data, which specifically comprises the following steps:
calculating a first score of each energy user according to the actual response quantity and the scheduling demand quantity;
calculating a second score of each energy user according to the average adjusting power and the offer power;
calculating a third score of each energy user according to the timestamp and the receiving time of the load scheduling offer information;
and determining the response score of each energy consuming party according to the first score, the second score and the third score.
Illustratively, the first score is calculated as follows: calculating the response proportion of the actual response quantity to the scheduling demand quantity; and determining a first score of each energy user according to the response proportion.
The actual response amount refers to the load energy consumption of the actual regulation and scheduling in the process of responding to the load scheduling offer information sent by the load scheduler by the energy user.
As an example, assuming that a scheduling period in the load scheduling offer information (e.g., the power consumption scheduling offer) delivered by the load scheduler includes a time period 01 (corresponding to a scheduling demand of K1 kilowatt-hour), 02 (corresponding to a scheduling demand of K2 kilowatt-hour), and 15 (corresponding to a scheduling demand of K3 kilowatt-hour), the load aggregation management platform forwards the power consumption scheduling offer to the power consumers 01, 02, and 03 after receiving the power consumption scheduling offer. Wherein, the energy user 01 determines response periods of the response to be 01 (corresponding to a response load amount of y1 kilowatt-hours) and 02 (corresponding to a response load amount of y2 kilowatt-hours) in the scheduling response confirmation information fed back to the load aggregation management platform. In actually performing the electricity schedule offer, the actual response volume of the energy consumer 01 in response period 01 may be less than, equal to, or greater than y1 kilowatt-hours.
Then, according to the formula: the response proportion (actual response/scheduling demand) × 100%, the response proportion of each energy consumer can be calculated, and then the first score of each energy consumer is determined according to the corresponding relationship between the response proportion and the first score, which can be recorded as a.
For example, the correspondence between the response ratio and the first score may be as shown in table 1 below.
TABLE 1 correspondence table of response ratio and first score
Response ratio <50% 50%~70% 75%~90% 90%~120% >120%
First score 0 0.5 0.8 1 0.8
The second score is calculated as follows: calculating a power fraction of the average regulated power to the invited power; and determining a second score of each energy user according to the power ratio.
As an example, the corresponding second score, recorded as B, may be determined from the power fraction of the average regulated power (actual regulated power) to the contracted power for each of the energy consumers within the first 15 minutes after the response was initiated.
For example, a correspondence table of the power ratio gradient and the second score may be preset, as shown in table 2 below.
TABLE 2 corresponding relationship table of power ratio gradient and second score
Power ratio gradient Second score
Actual regulated power is less than or equal to 50% contracted power 0
50% of the power invited<Actual regulated power is less than or equal to 75% of the invited power 0.5
75% of the power invited<Actual regulated power is less than or equal to 90% of the invited power 0.8
Actual regulation of power>90% of the power invited 1
The third score is calculated as follows: determining the response time length of each energy user according to the time stamp and the receiving time; and determining a third score of each energy user according to the response time length.
The timestamp refers to a time point when the energy user feeds back the scheduling response confirmation information to the load aggregation management platform after receiving the load scheduling offer information issued by the load aggregation management platform. The receiving time is the time point when the energy user receives the load scheduling offer information sent by the load aggregation management platform.
In one embodiment, the following may be expressed according to the formula: and calculating the response time length of each energy user. And then, according to the corresponding relation between the preset response time length range and the third score, determining the third score of each energy user, and recording the third score as C.
For example, the correspondence relationship between the response time length range and the third score is shown in table 3 below.
Table 3 correspondence table of the response time length range and the third score as an example, may be according to the formula: calculating the response of each energy user when the response score is A + B + C
Response duration range Third score
Response toDuration of time>2 hours 0
1.5 hours<The response time is less than or equal to 2 hours 0.5
1.0 hour<The response time is less than or equal to 1.5 hours 0.7
0.5 hour<The response time is less than or equal to 1.0 hour 0.9
The response time is less than or equal to 0.5 hour 1.0
And (6) scoring. Then, the response scores are ranked from high to low according to the response scores, and the response scores are higher the ranking is, so that the response execution force of the energy user is higher. The load aggregation management platform can select a target responder participating in responding to the load scheduling offer information issued by the load scheduler according to the sequence. For example, the corresponding target responders may be selected according to the scheduling time period and the scheduling demand amount according to the sequencing order.
And step S204, issuing a scheduling control command to the target responder to control the target responder to finish the response load in the response time interval.
As an example, after the load aggregation management platform determines the target responder, a scheduling control instruction may be issued to the target responder (for example, in the scheduling period XX, the XX energy-consuming device is turned on/off, or the XX energy-consuming device is adjusted to XX) to control the target responder to complete its response load amount in the response period.
According to the technical scheme provided by the embodiment of the disclosure, through the load aggregation platform, the energy consumption related information of the energy consumption party can be accurately analyzed and calculated, the response resources (such as electric power response resources) of various energy consumption parties are aggregated, the resource characteristics are fully exerted by utilizing the technical means, a main body of various adjustment response services is provided for a power grid (a load scheduling party), and the main body participates in an auxiliary service market organized by the load scheduling party; and related energy utilization information is counted by combining related functions of the platform, and an energy utilization party is stimulated to participate in load scheduling, so that the energy utilization party can be well guided to reasonably avoid peaks, adjust energy utilization loads, cut peaks and fill valleys, and dig the potential of energy utilization in valleys, and further the energy utilization load rate and the energy utilization efficiency are improved.
In some embodiments, the above method further comprises:
receiving an offer inquiry request sent by a user;
and starting a plurality of preset application functional programs according to the offer inquiry request, loading and generating an offer information display page, and displaying the offer information display page to the user.
The offer inquiry request may include an inquiry time (e.g., a scheduling period, a response period, etc.), a user type (including a load aggregation management platform, an energy user).
The user here may refer to an object (e.g., a person, a robot, etc.) that uses or manages the load aggregation management platform.
And the plurality of application function programs comprise function programs such as data acquisition, data statistics, data display and the like.
In some embodiments, the loading generating step of the offer information presentation page comprises:
obtaining historical offer execution data corresponding to the offer query request;
and starting a plurality of preset application functional programs to process the historical offer execution data, and generating an offer information display page.
The historical offer execution data refers to historical data related to the inquiry time corresponding to the offer inquiry request, the response period of the invitee energy party corresponding to the inquiry area, the response load, the actual response, the average regulated power and the like.
As an example, when the load aggregation management platform receives that the offer query request sent by the user is "query the load scheduling offer information of X days in month X in 20XX year", a preset data acquisition, data statistics and data display function program may be started, and specifically, the data acquisition function program may be used to acquire the relevant load scheduling offer information delivered in month X in 20XX year from the load scheduler; the data statistics function program can be used for collecting the related energy consumption data of the energy consumption party participating in the related load scheduling offer information issued in 20XX year X month X, and sorting and counting the energy consumption data to obtain a statistical result; the data presentation function may be configured to present the statistics to the user in a predetermined presentation mode (e.g., presenting relevant statistics to the user in a tabular form, a graphical form, etc.). Illustratively, these statistics may be presented to the user by loading the generated offer information presentation page to present relevant statistics to the user.
In an embodiment, the offer information presentation page may present a plurality of pieces of offer information corresponding to the time period and area selected by the user. For example, when a user inputs a certain query time (e.g., 20XX year X month X) and a query area (north china), a plurality of offer information corresponding to the query time and the query area may be presented to the user. When the user continues to click on a certain piece of offer information, the information state corresponding to the piece of offer information (for example, any one of the information that the user does not claim, the information that the aggregator has claim or the information that the aggregator does not offer) can be displayed. For example, when the inquiry date does not include offer information, "non-offer information" may be displayed below the inquiry date.
In an embodiment, the offer information presentation page may also present information according to the user type. For example, when the user is an enterprise user (energy consumer), the user may display the offer information, enterprise declaration (default display form, and click on a switching display curve), power grid delivery condition, and execution condition, and display the adjusted power and profit condition after the execution of the offer information is completed. When the user is an administrator of the load aggregation management platform, the enterprise declaration summary power curve, the power grid issued total power curve and the execution total power curve can be displayed to the user, and a certain curve can be displayed or hidden by clicking a legend. The lower part displays the regulation time interval, the declaration power, the issuing power, the declaration price, the issuing price and the income condition of the aggregator.
As an example, when the load aggregation management platform receives an offer query request sent by a user, historical offer execution data corresponding to the offer query request may be obtained, and the historical offer execution data may be collated and counted to generate a lookup table. The lookup table may include the date of the lookup, details of the offer information, and the like. When receiving a query date input by a user, loading the invitation information details of the query date and showing the invitation information details to the user. Specifically, if no offer is provided within the query date, the "offer-free information" may be displayed on the current offer information presentation page. If the offer exists in the inquiry date, the list information of the offer energy users (enterprises) is loaded and displayed on the current offer information display page. When a user clicks a certain piece of offer information in the list, whether an enterprise response exists or not can be further judged, and if not, an enterprise response and aggregation declaration plan are displayed on a page; if yes, displaying the summary and the invitation completion condition of the service declaration on a page, then further judging whether the load aggregation platform has a declaration plan, and if yes, displaying the summary power curve information of the load aggregation platform; if not, then "plan not yet declared" is displayed on the page.
In one embodiment, the relevant data of the scheduling response may also be presented according to the following presentation rules.
For example, the display rule of the scheduling condition of the last transaction day includes (taking electricity regulation as an example): efficient regulation of the electrical quantity (including data and calculation formulas) is anticipated, wherein the data includes: the power grid transmission power (namely the dispatching demand) P1, the power grid transmission adjusting time (namely the adjusting time period) t1 (which can be converted into hours); the calculation formula is as follows: grid down power generation regulation time (P1 t1+ P2 t2+. Pn t n). Actually and effectively adjusting the electric quantity (comprising data and a calculation formula), wherein the data comprises the benefits issued by the power grid, a benefit value S1 is issued for 15 minutes, the clearing price is issued by the power grid, and a clearing price D1 is issued for 15 minutes; calculation formula, summary accumulation for one day (S1/D1+ S2/D2+.. Sn/Dn). The completion rate (including data and a calculation formula), wherein the data comprises predicted effective adjustment electric quantity and actual effective adjustment electric quantity; the calculation formula is as follows: (actual effective adjusted electric quantity/predicted effective adjusted electric quantity) 100%. Fourthly, the enterprise predicts the effective adjustment of the electric quantity; the actual and effective electric quantity regulation of enterprises; and sixthly, the enterprise completion rate (actual effective adjustment electric quantity of the enterprise/expected effective adjustment electric quantity of the enterprise is 100 percent).
In an embodiment, when the invitation query request sent by the user is a cumulative information query request, a preset data accumulation and display function program may be started, and response data (for example, cumulative peak shaving income, cumulative effective adjustment electric quantity, and average clearing price, etc.) for a cumulative time period (for example, one year) may be obtained, loaded into the page, and displayed to the user.
For example, on the revenue settlement interface, the user may be defaulted to display the start time as the participation response time to the current time (reverse order of time), defaulted to a business, and the display content includes: the total effective adjustment of electric quantity, average clearing price, power grid issuing income, power consumption income and user income. When the user type selected by the user is the load aggregation management platform, the display content comprises: the total effective adjustment of electric quantity, average clearing price, power grid issuing income, power consumption income and aggregator income. In addition, the user can select the time and business desired to view on the page to view or export the relevant data.
In an embodiment, when the load aggregation management platform receives the alarm data fed back by the load scheduling party, the load aggregation management platform may process the alarm data, generate corresponding alarm information, and send the alarm information to the relevant energy using party in a manner of short message, email, or the like. After receiving the alarm information, the energy users can confirm the alarm information and feed back confirmation information to the load aggregation management platform, the load aggregation management platform can collect the confirmation information of each energy user and add the confirmation information to the corresponding invitation information details so as to facilitate subsequent tracing and analysis, and meanwhile, a corresponding download interface can be provided so as to facilitate the user to inquire and download the corresponding invitation detail information.
All the above optional technical solutions may be combined arbitrarily to form optional embodiments of the present application, and are not described herein again.
The following are embodiments of the disclosed apparatus that may be used to perform embodiments of the disclosed methods. For details not disclosed in the embodiments of the apparatus of the present disclosure, refer to the embodiments of the method of the present disclosure.
Fig. 3 is a schematic diagram of a load aggregation management apparatus according to an embodiment of the present disclosure. As shown in fig. 3, the load aggregation management apparatus includes:
the information acquisition module 301 is configured to acquire load scheduling offer information delivered by a load scheduler, and deliver the load scheduling offer information to a plurality of energy consumers, where the load scheduling offer information includes a scheduling period and a scheduling demand;
an information receiving module 302 configured to receive scheduling response acknowledgement information fed back by at least one energy user, where the scheduling response acknowledgement information includes a response period and a response load amount, the response period is at least one segment of the scheduling period, and the response load amount is less than or equal to the scheduling demand amount;
a screening module 303 configured to screen out at least one target responder from the at least one energy consumer that feeds back the scheduling response confirmation information;
a control module 304 configured to issue a scheduling control command to the target responder to control the target responder to complete the response load amount within the response period.
According to the technical scheme provided by the embodiment of the disclosure, the information acquisition module 301 is used for acquiring the load scheduling offer information sent by the load scheduler and sending the load scheduling offer information to a plurality of energy users, wherein the load scheduling offer information comprises a scheduling time interval and a scheduling demand; the information receiving module 302 receives scheduling response confirmation information fed back by at least one energy user, where the scheduling response confirmation information includes a response time interval and a response load amount, the response time interval is at least one segment of the scheduling time interval, and the response load amount is less than or equal to the scheduling demand amount; the screening module 303 screens out at least one target responder from the at least one energy consumer which feeds back the scheduling response confirmation information; the control module 304 issues a scheduling control command to the target responder to control the target responder to complete response load in a response time period, so that the energy consumer can be accurately guided to participate in energy consumption scheduling demand response, the energy consumption load rate and the energy utilization efficiency of the energy consumer are improved, and the load energy supply and demand pressure can be effectively relieved.
In some embodiments, the screening module 303 includes:
the obtaining unit is configured to obtain historical load response data of at least one energy user feeding back scheduling response confirmation information, wherein the historical load response data comprise an actual response amount, average adjusting power within a preset time length range after response starting and a time stamp for feeding back the scheduling response confirmation information;
a score calculating unit configured to determine a response score of each energy consumer according to the historical load response data;
a determination unit configured to determine at least one target responder according to the response score.
In some embodiments, the load offer information comprises an offer power. The score calculating unit is specifically configured to:
calculating a first score of each energy user according to the actual response quantity and the scheduling demand quantity;
calculating a second score of each energy user according to the average adjusting power and the offer power;
calculating a third score of each energy user according to the timestamp and the receiving time of the load scheduling offer information;
determining a response score for each energy consumer based on the first score, the second score, and the third score.
In some embodiments, the calculating a first score for each energy consumer according to the actual response amount and the scheduling demand amount includes:
calculating the response proportion of the actual response quantity to the scheduling demand quantity;
and determining a first score of each energy user according to the response proportion.
In some embodiments, the calculating a second score for each of the energy consumers according to the average adjustment power and the offer power includes:
calculating a power fraction of the average regulated power to the invited power;
and determining a second score of each energy user according to the power ratio.
In some embodiments, the calculating a third score for each of the consumers according to the timestamp and the time of receipt of the load scheduling offer information includes:
determining the response time length of each energy user according to the time stamp and the receiving time;
and determining a third score of each energy user according to the response time length.
In some embodiments, the above apparatus further comprises:
the request receiving module is configured to receive an offer inquiry request sent by a user;
and the loading module is configured to start a plurality of preset application functional programs according to the invitation inquiry request, load and generate an invitation information display page, and display the invitation information display page to the user.
In some embodiments, the loading module includes:
a data acquisition unit configured to acquire history offer execution data corresponding to the offer inquiry request;
and the page generating unit is configured to start a plurality of preset application functional programs to process the historical offer execution data and generate an offer information display page.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present disclosure.
Fig. 4 is a schematic diagram of an electronic device 400 provided by an embodiment of the disclosure. As shown in fig. 4, the electronic apparatus 400 of this embodiment includes: a processor 401, a memory 402 and a computer program 403 stored in the memory 402 and executable on the processor 401. The steps in the various method embodiments described above are implemented when the processor 401 executes the computer program 403. Alternatively, the processor 401 implements the functions of the respective modules/units in the above-described respective apparatus embodiments when executing the computer program 403.
Illustratively, the computer program 403 may be partitioned into one or more modules/units, which are stored in the memory 402 and executed by the processor 401 to accomplish the present disclosure. One or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution of the computer program 403 in the electronic device 400.
The electronic device 400 may be a desktop computer, a notebook, a palm top computer, a cloud server, or other electronic devices. The electronic device 400 may include, but is not limited to, a processor 401 and a memory 402. Those skilled in the art will appreciate that fig. 4 is merely an example of an electronic device 400 and does not constitute a limitation of electronic device 400 and may include more or fewer components than shown, or combine certain components, or different components, e.g., the electronic device may also include input-output devices, network access devices, buses, etc.
The Processor 401 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The storage 402 may be an internal storage unit of the electronic device 400, for example, a hard disk or a memory of the electronic device 400. The memory 402 may also be an external storage device of the electronic device 400, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, provided on the electronic device 400. Further, the memory 402 may also include both internal storage units and external storage devices of the electronic device 400. The memory 402 is used for storing computer programs and other programs and data required by the electronic device. The memory 402 may also be used to temporarily store data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules, so as to perform all or part of the functions described above. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present disclosure.
In the embodiments provided in the present disclosure, it should be understood that the disclosed apparatus/electronic device and method may be implemented in other ways. For example, the above-described apparatus/electronic device embodiments are merely illustrative, and for example, a module or a unit may be divided into only one logical function, and may be implemented in other ways, and multiple units or components may be combined or integrated into another system, or some features may be omitted or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present disclosure may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, the present disclosure may implement all or part of the flow of the method in the above embodiments, and may also be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the computer program may implement the steps of the above methods and embodiments. The computer program may comprise computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain suitable additions or additions that may be required in accordance with legislative and patent practices within the jurisdiction, for example, in some jurisdictions, computer readable media may not include electrical carrier signals or telecommunications signals in accordance with legislative and patent practices.
The above examples are only intended to illustrate the technical solutions of the present disclosure, not to limit them; although the present disclosure has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present disclosure, and are intended to be included within the scope of the present disclosure.

Claims (10)

1. A load aggregation management method, comprising:
acquiring load scheduling invitation information issued by a load scheduler, and issuing the load scheduling invitation information to a plurality of energy users, wherein the load scheduling invitation information comprises a scheduling time interval and a scheduling demand;
receiving scheduling response confirmation information fed back by at least one energy user, wherein the scheduling response confirmation information comprises a response time interval and a response load amount, the response time interval is at least one segment of the scheduling time interval, and the response load amount is less than or equal to the scheduling demand amount;
screening at least one target responder from at least one energy consumer which feeds back scheduling response confirmation information;
and issuing a scheduling control command to the target responder to control the target responder to complete the response load in the response time period.
2. The method of claim 1, wherein the screening out at least one target responder from the at least one energy consumer that feeds back the scheduling response acknowledgement information comprises:
obtaining historical load response data of at least one energy user feeding back scheduling response confirmation information, wherein the historical load response data comprise an actual response amount, average adjusting power within a preset time length range after response starting and a time stamp for feeding back the scheduling response confirmation information;
determining a response score of each energy user according to the historical load response data;
and determining at least one target responder according to the response scores.
3. The method of claim 2, wherein the load offer information includes an offer power;
determining a response score for each of the energy consumers based on the historical load response data, comprising:
calculating a first score of each energy user according to the actual response quantity and the scheduling demand quantity;
calculating a second score for each of the empowerments based on the average adjusted power and the invited power;
calculating a third score for each of the energy consumers according to the timestamp and the time of receipt of the load scheduling offer information;
and determining the response score of each energy user according to the first score, the second score and the third score.
4. The method of claim 3, wherein calculating a first score for each of the energy consumers based on the actual response and the scheduling demand comprises:
calculating the response proportion of the actual response quantity to the scheduling demand quantity;
and determining a first score of each energy user according to the response proportion.
5. The method of claim 3, wherein calculating a second score for each of the empowers based on the average adjustment power and the solicitation power comprises:
calculating a power fraction of the average adjusted power to the invited power;
and determining a second score of each energy user according to the power ratio.
6. The method of claim 3, wherein calculating a third score for each of the empowerments based on the timestamp and a time of receipt of the load scheduling offer information comprises:
determining the response time length of each energy user according to the time stamp and the receiving time;
and determining a third score of each energy user according to the response time length.
7. The method of claim 1, further comprising:
receiving an offer inquiry request sent by a user;
and starting a plurality of preset application functional programs according to the offer inquiry request, loading and generating an offer information display page, and displaying the offer information display page to the user.
8. The method according to claim 7, wherein the starting a plurality of preset application functional programs and loading and generating an offer information presentation page according to the offer query request comprises:
obtaining historical offer execution data corresponding to the offer query request;
and starting a plurality of preset application functional programs to process the historical offer execution data to generate an offer information display page.
9. A load aggregation management apparatus, comprising:
the information acquisition module is configured to acquire load scheduling invitation information issued by a load scheduler and issue the load scheduling invitation information to a plurality of energy users, wherein the load scheduling invitation information comprises a scheduling time interval and a scheduling demand;
an information receiving module configured to receive scheduling response confirmation information fed back by at least one of the energy users, wherein the scheduling response confirmation information includes a response period and a response load amount, the response period is at least one of the scheduling periods, and the response load amount is less than or equal to the scheduling demand amount;
the screening module is configured to screen out at least one target responder from the at least one energy consumer which feeds back the scheduling response confirmation information;
a control module configured to issue a scheduling control command to the target responder to control the target responder to complete the response load amount within the response period.
10. An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of claims 1 to 8 when executing the computer program.
CN202210082227.XA 2022-01-24 2022-01-24 Load aggregation management method and device and electronic equipment Pending CN114493248A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114880534A (en) * 2022-05-30 2022-08-09 新奥数能科技有限公司 Load aggregation information display method and device, electronic equipment and storage medium

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114880534A (en) * 2022-05-30 2022-08-09 新奥数能科技有限公司 Load aggregation information display method and device, electronic equipment and storage medium

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