CN114421467A - Load aggregation scheduling method and device and electronic equipment - Google Patents
Load aggregation scheduling method and device and electronic equipment Download PDFInfo
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Abstract
The disclosure relates to the technical field of energy, and provides a load aggregation scheduling method, a load aggregation scheduling device and electronic equipment. The method comprises the following steps: acquiring adjustable load information reported by a plurality of energy users, wherein the adjustable load information comprises participatable adjusting equipment, adjustable time periods and adjustable quantity; summarizing adjustable load information of a plurality of energy users to obtain a total power curve, and transmitting the total power curve to a load scheduling party so that the load scheduling party determines a scheduling power curve according to the total power curve; receiving a scheduling power curve issued by a load scheduling party, decomposing the scheduling power curve, and obtaining a load scheduling plan corresponding to each energy user; the load scheduling plan is issued to the corresponding energy user, and the load scheduling plan is executed, so that the vast middle and small-sized enterprises can be well aggregated, the enterprises can indirectly participate in the response service of the demand side, the response timeliness of the demand side is improved, and the energy scheduling flexibility is effectively improved.
Description
Technical Field
The disclosure relates to the technical field of energy, and in particular, to a load aggregation scheduling method and device and an electronic device.
Background
Along with the gradual deepening of energy trading duration reform, energy-saving optimization, comprehensive energy scheduling and the like in recent years, the demand for fine control of energy is higher and higher.
However, the load energy types are various, the layout is dispersed, the scale is different in size and the response is uncertain, and most of small and medium-sized energy-consuming enterprises cannot reach the market entrance threshold, so that the energy load regulation cannot be directly participated in, the timeliness of the participation of the vast small and medium-sized enterprises in the demand side response service is restricted by the factors, and the flexibility of energy scheduling is restricted to a certain extent.
Disclosure of Invention
In view of this, the embodiments of the present disclosure provide a load aggregation scheduling method, a load aggregation scheduling device, and an electronic device, so as to solve the problem that in the prior art, most of small and medium-sized energy-consuming enterprises cannot directly participate in energy load adjustment, thereby restricting the timeliness of the large and medium-sized enterprises participating in demand-side response services, and restricting the flexibility of energy scheduling to a certain extent.
In a first aspect of the embodiments of the present disclosure, a load aggregation scheduling method is provided, including:
acquiring adjustable load information reported by a plurality of energy users, wherein the adjustable load information comprises participatable adjusting equipment, adjustable time periods and adjustable quantity;
summarizing adjustable load information of a plurality of energy users to obtain a total power curve, and transmitting the total power curve to a load scheduling party so that the load scheduling party determines a scheduling power curve according to the total power curve;
receiving a scheduling power curve issued by a load scheduling party, decomposing the scheduling power curve, and obtaining a load scheduling plan corresponding to each energy user;
and issuing the load scheduling plan to a corresponding energy user, and executing the load scheduling plan.
In a second aspect of the embodiments of the present disclosure, a load aggregation scheduling apparatus is provided, including:
the information acquisition module is configured to acquire adjustable load information reported by a plurality of energy users, and the adjustable load information comprises participatable adjusting equipment, an adjustable time period and an adjustable amount;
the summarizing module is configured to summarize the adjustable load information of a plurality of energy users, obtain a total power curve, and transmit the total power curve to the load scheduling party, so that the load scheduling party determines a scheduling power curve according to the total power curve;
the decomposition module is configured to receive a scheduling power curve issued by a load scheduling party, decompose the scheduling power curve and obtain a load scheduling plan corresponding to each energy user;
and the scheduling execution module is configured to issue the load scheduling plan to the corresponding energy user and execute the load scheduling plan.
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 adjustable load information reported by a plurality of energy users is obtained, wherein the adjustable load information comprises participatable adjusting equipment, adjustable time periods and adjustable quantity; summarizing adjustable load information of a plurality of energy users to obtain a total power curve, and transmitting the total power curve to a load scheduling party so that the load scheduling party determines a scheduling power curve according to the total power curve; receiving a scheduling power curve issued by a load scheduling party, decomposing the scheduling power curve, and obtaining a load scheduling plan corresponding to each energy user; the load scheduling plan is issued to the corresponding energy user, and the load scheduling plan is executed, so that the vast middle and small-sized enterprises can be well aggregated, the enterprises can indirectly participate in the response service of the demand side, the response timeliness of the demand side is improved, and the energy scheduling flexibility is effectively improved.
Drawings
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 scheduling method according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of a load aggregation scheduling 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 scheduling 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 scheduler 101, a plurality of energy consumers 102 communicatively connected to the load aggregation scheduler 101, and a load scheduler 103 communicatively connected to the load aggregation scheduler 101.
The load aggregation scheduler 101 may be a server providing various services, for example, a backend server receiving information transmitted by the plurality of energy users 102 establishing communication connections with the load aggregation scheduler, and the backend server may receive and analyze information transmitted 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 pieces of software or software modules that provide various services for the multiple energy users 102, or may be a single piece of software or software module that provides various services for the multiple energy users 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 scheduler 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 data processing applications, instant messaging tools, social platform software, search-type applications, 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 scheduler 103 establishes a communication connection with the load aggregation scheduler 101 through a server capable of providing various services, and receives and processes data uploaded by the load aggregation scheduler 101.
In the embodiment of the present disclosure, the energy consuming party 102 may establish a communication connection with the load aggregation scheduling party 101 through a terminal device via a network to receive or transmit information or the like. Specifically, after receiving the adjustable load information reported by the energy user 102, the load aggregation scheduler 101 summarizes the adjustable load information of the energy users to obtain a total power curve, and transmits the total power curve to the load scheduler, so that the load scheduler determines a scheduling power curve according to the total power curve; receiving a scheduling power curve issued by a load scheduling party, decomposing the scheduling power curve, and obtaining a load scheduling plan corresponding to each energy user; the load scheduling plan is issued to the corresponding energy user, and the load scheduling plan is executed, so that the vast middle and small-sized enterprises can be well aggregated, the enterprises can indirectly participate in the response service of the demand side, and the timeliness of the response of the demand side and the flexibility of energy scheduling are improved.
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 flowchart illustrating a load aggregation scheduling method according to an embodiment of the present disclosure. The load aggregation scheduling method of fig. 2 may be performed by the load aggregation scheduler 101 of fig. 1. As shown in fig. 2, the load aggregation scheduling method includes:
step S201, obtaining a plurality of adjustable load information reported by the energy users, wherein the adjustable load information comprises an adjustable device, an adjustable time period and an adjustable quantity.
The energy utilization party refers to a load energy utilization party (demand party). Specifically, different energy usage may be defined according to different types of load energy. For example, the electricity consumer (electric energy as load energy), the water consumer (water as load energy), and the gas consumer (natural gas, etc. as load energy) may be used.
Can participate in adjusting equipment, including specific electric equipment (such as an electric automobile and the like), water-using equipment (such as a steam boiler and the like), gas-using equipment (such as a steam boiler and the like) and the like.
The adjustable time period may be any one or more time periods that may participate in adjusting the device during an operating cycle (e.g., 1 day), such as a1 o 'clock to 2 o' clock period, etc.
The adjustable quantity refers to specific adjustable energy consumption (such as electricity consumption).
Step S202, summarizing the adjustable load information of a plurality of energy users to obtain a total power curve, and transmitting the total power curve to a load scheduling party so that the load scheduling party determines a scheduling power curve according to the total power curve.
In an embodiment, participatable adjusting devices belonging to the same category, and adjustable time periods and adjustable amounts corresponding to the participatable adjusting devices can be extracted from the adjustable load information of a plurality of energy users; and summarizing the adjustable time periods and the adjustable quantities of the participatable adjusting equipment in the same category of the plurality of energy users to generate a total power curve corresponding to each participatable adjusting equipment in the same category.
As an example, 1 day of 24 hours may be divided into 96 time periods in advance by a granularity of 15 minutes, wherein 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.
Assume that the current load aggregation scheduler 101 acquires 3 energy consumers, which are respectively adjustable load information reported by the energy consumers 01, 02, and 03. The adjustable load information reported by the available 01 is the electric equipment a, and the adjustable time periods are time periods 01, 05, 06, 18 and 22 (the adjustable quantity corresponding to each time period is a1, a2, A3, a4 and a5 kilowatt-hour respectively); the adjustable time periods of the electric equipment B are time periods 03, 05, 11 and 80 (the adjustable quantities corresponding to each time period are respectively B1, B2, B3 and B4 kilowatt-hours), and the adjustable time periods of the water equipment C are time periods 15, 20 and 31 (the adjustable quantities corresponding to each time period are respectively C1, C2 and C3 tons). The adjustable load information reported by the energy consumer 02 is the electric equipment D, the adjustable time periods are time periods 01, 16 and 90 (the adjustable quantities corresponding to each time period are D1, D2 and D3 kilowatt-hour respectively), and the adjustable time periods are time periods 22 and 25 (the adjustable quantities corresponding to each time period are E1 and E2 liters respectively). The adjustable load information reported by the energy user 0 is the electric equipment F, the adjustable time periods are time periods 10, 32 and 85 (the adjustable quantities corresponding to each time period are respectively F1, F2 and F3 kilowatt-hour), the water consumption equipment G is the adjustable time periods 30 and 41 (the adjustable quantities corresponding to each time period are respectively G1 and G2 tons).
Then, the adjustable devices belonging to the same category can be extracted from the adjustable load information reported by the energy users 01, 02 and 03 as follows: the electric equipment class includes A, B, D, F; the water utilization equipment comprises C, G; and the gas equipment class comprises E. Then, the adjustable time periods and the adjustable amounts of the electric devices of the energy users 01, 02, and 03 can be summarized, and a summary result is obtained as follows: the adjustable time period 01 (adjustable amount is a1+ D1), 03 (adjustable amount is B1), 05 (adjustable amount is a2+ B2), 06 (adjustable amount is A3), 10 (adjustable amount is F1), 11 (adjustable amount is B3), 16 (adjustable amount is D2), 18 (adjustable amount is a4), 22 (adjustable amount is a5), 32 (adjustable amount is F2), 80 (adjustable amount is B4), 85 (adjustable amount is F3), 90 (adjustable amount is D3). Then, according to the above summary result one, a total power curve is drawn, which can reflect the adjustable amount of the same type of adjustable device at different time periods.
It can be understood that, as for the summary manner of the water-consuming devices and the gas-consuming devices, reference may be made to the summary manner of the above-mentioned power-consuming devices, and details thereof are not described herein again.
In another embodiment, the adjustable time periods belonging to the same time interval, and the participatable adjusting devices and the adjustable quantity corresponding to the adjustable time periods can be extracted from the adjustable load information of a plurality of energy users; and summarizing the participatable adjusting equipment and the adjustable quantity of the same adjustable time period of a plurality of energy users to generate a total power curve corresponding to each same adjustable time period.
With reference to the above example, according to the adjustable load information reported by the energy users 01, 02 and 03, the extracting adjustable time periods belonging to the same time interval from the adjustable load information includes: time periods 01, 03, 05, 06, 10, 11, 15, 16, 18, 20, 22, 25, 31, 32, 80, 85, 90.
Then, the participatable adjusting devices and the adjustable quantities of the energy users 01, 02 and 03 in the same adjustable time period are summarized, and the following summarized result two can be obtained: time periods 01 (corresponding engageable adjusting devices include A, D, adjustable amounts a1, D1), 03 (corresponding engageable adjusting devices include B, adjustable amount B1), 05 (corresponding engageable adjusting devices include A, B, adjustable amounts a2, B2), 06 (corresponding engageable adjusting devices include a, adjustable amount A3), 10 (corresponding engageable adjusting devices include F, adjustable amount F1), 11 (corresponding engageable adjusting devices include B, adjustable amount B3), 15 (corresponding engageable adjusting devices include C, adjustable amount C1), 16 (corresponding engageable adjusting devices include D, adjustable amount D2), 18 (corresponding engageable adjusting devices include a, adjustable amount a4), 20 (corresponding engageable adjusting devices include C, adjustable amount C2), 22 (corresponding engageable adjusting devices include E, adjustable amounts are E1), 25 (the corresponding engageable adjusting device comprises E, adjustable amount is E2), 31 (the corresponding engageable adjusting device comprises C, adjustable amount is C3), 32 (the corresponding engageable adjusting device comprises F, adjustable amount is F2), 80 (the corresponding engageable adjusting device comprises B, adjustable amount is B4), 85 (the corresponding engageable adjusting device comprises F, adjustable amount is F3), 90 (the corresponding engageable adjusting device comprises D, adjustable amount is D3). And then, generating a total power curve according to the second summarizing result, wherein the total power curve can reflect various types of equipment which can participate in regulation in the same time period and corresponding adjustable quantity.
In some embodiments, the adjustable load information further includes a load energy type. The above steps, summarizing the adjustable devices and the adjustable quantities that can participate in the same adjustable time period of a plurality of energy consumers, and generating a total power curve corresponding to each same adjustable time period, include:
extracting participatory adjustable equipment and adjustable quantity of a plurality of energy users belonging to the same load energy type in the same adjustable time period;
and summarizing participatory adjustable equipment and adjustable quantity belonging to the same energy type in the same adjustable time period of a plurality of energy users to generate a total power curve.
As an example, in combination with the above example, on the basis of the above summary result two, the participatable adjusting devices and the adjustable quantities belonging to the same energy type in the same adjustable time period are continuously extracted, and a total power curve is generated, which can reflect the participatable adjusting devices and the adjustable quantities of the same adjustable time period and the same energy type(s). For example, taking the time slot 01 as an example, the time slot 01 corresponds to the participatable adjusting device including A, D, the adjustable amount is a1 and D1, and both the participatable adjusting devices a and D belong to the electric devices, that is, belong to the same category, so that the adjustable amount of the electric devices of the time slot 01 can be summarized as a1+ D1.
And step S203, receiving the dispatching power curve issued by the load dispatching party, decomposing the dispatching power curve, and obtaining a load dispatching plan corresponding to each energy user.
In an embodiment, the load aggregation scheduler may send the total power curve obtained in the above steps to the load scheduler, and the load scheduler may determine a scheduling power curve according to the total power curve, where the scheduling power curve includes scheduling periods, scheduling devices corresponding to each scheduling period, and a scheduling amount.
In some embodiments, decomposing the scheduling power curve to obtain a load scheduling plan corresponding to each energy consumer specifically includes:
extracting all scheduling periods, scheduling equipment and scheduling quantity corresponding to each scheduling period from the scheduling power curve;
acquiring equipment information of the scheduling equipment, and determining an energy using party to which the scheduling equipment belongs according to the equipment information;
and generating a load scheduling plan corresponding to the energy users according to the scheduling equipment, the scheduling amount and the scheduling time period belonging to each energy user.
As an example, likewise, the 1 day 24 hours may be divided into 96 periods by a granularity of 15 minutes, where each 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.
Assume that the scheduling periods in the scheduling power curve received by the load aggregator are period 01 (the corresponding scheduling devices are electric devices (the scheduling amount is X1), water using devices (the scheduling amount is Y1) and air using devices (the scheduling amount is Z1)), 25 (the corresponding scheduling devices are electric devices (the scheduling amount is X2) and water using devices (the scheduling amount is Y2)), 85 ((the corresponding scheduling devices are electric devices (the scheduling amount is X3) and air using devices (the scheduling amount is Z2)), and 96 (the corresponding scheduling devices are water using devices (the scheduling amount is Y3)). Then, the device information (for example, the device code, the device owner information (for example, the energy use identification information, such as the energy use ID, etc.)) of the scheduling device corresponding to the scheduling period is obtained, and the energy use party to which the scheduling device corresponding to each scheduling period belongs is determined according to the device information. And finally, generating a load scheduling plan of each energy user according to all scheduling equipment, scheduling amount and scheduling time period belonging to each energy user.
For example, it is assumed that the electric equipment classes in the scheduling period 01 include an electric equipment A, B of the energy user 01 and an electric equipment C, D of the energy user 02, the water equipment classes include a water equipment E of the energy user 01, and the gas equipment classes include a gas equipment F of the energy user 02; the electric equipment classes of the scheduling time interval 25 comprise electric equipment A of an energy user 01 and electric equipment D of an energy user 02, and the water-using equipment classes comprise water-using equipment G of an energy user 03; the electric equipment class of the scheduling period 85 comprises electric equipment B of an energy user 01, and the gas equipment class comprises gas equipment H of an energy user 03; the class of water consuming devices for the schedule period 96 includes the water consuming device I of the energy consumer 02. Then all data belonging to the same energy party in each scheduling period can be extracted. Taking the energy user 01 as an example, according to the above result, the information related to the energy user 01 can be extracted as follows: scheduling period 01 (the corresponding scheduling device is an electric device A, B (the corresponding scheduling amount may be X1/2, and the corresponding scheduling amount of each electric device may also be determined according to a preset weight ratio) and a water consuming device E (the corresponding scheduling amount is Y1)), scheduling period 25 (the corresponding scheduling device is a water consuming device E (the corresponding scheduling amount is Y2)), and scheduling period 85 (the corresponding scheduling device is an electric device B (the corresponding scheduling amount is X3)). This makes it possible to further generate a load scheduling plan for the energy user 01.
And step S204, transmitting the load scheduling plan to a corresponding energy user, and executing the load scheduling plan.
In some embodiments, the step of issuing the load scheduling plan to the corresponding energy consumer and executing the load scheduling plan includes:
sending corresponding load scheduling plans and scheduling response confirmation requests to each energy utilization party;
and executing the load scheduling plan according to scheduling response confirmation information fed back by the energy users, wherein the scheduling response confirmation information comprises response scheduling equipment, a response scheduling time interval and a response scheduling amount.
As an example, the load aggregation scheduler issues the load scheduling plan obtained according to the above steps to the corresponding energy users, and simultaneously issues a scheduling response confirmation request to each energy user, where the scheduling response confirmation request includes a response scheduling device, a response scheduling time period, and a response scheduling amount. When receiving the scheduling response confirmation request, the energy user can select response scheduling equipment, a response scheduling time period and a response scheduling amount for participating in response according to actual conditions.
For example, the energy utilization party 01 receives the scheduling response confirmation request issued by the load aggregation scheduling party, and the scheduling response confirmation request includes a scheduling period 01: scheduling devices are powered devices a and B (corresponding to a scheduling amount of X1/2), scheduling period 25: the scheduling device is a consumer E (corresponding to scheduling amount Y2), and the scheduling period 85: the scheduling device is a powered device B (corresponding to the amount of scheduling X3). At this time, the energy user 01 can determine which scheduling period or which scheduling device responds specifically to load scheduling according to its actual production situation. For example, with energy 01, determine response scheduling period 01: the scheduling device is a request of the electric devices a and B (the corresponding scheduling amount may be X1/2), and the rest of the scheduling time period does not participate in the response, so the confirmation information may be sent to the load aggregation scheduler.
In some embodiments, the above method further comprises:
acquiring real-time energy consumption data of response scheduling equipment of each energy consumption party, and summarizing the real-time energy consumption data to obtain a summarizing result;
and sending the summary result to a load scheduling party so that the load scheduling party calculates an effective scheduling load according to the summary result, and determines a corresponding scheduling excitation value according to the effective scheduling load.
By combining the above example, the real-time energy consumption data of the response scheduling device of each energy consumption party can be obtained based on the internet of things technology, and the real-time energy consumption data is summarized to obtain a summary result. For example, the real-time energy consumption data (e.g., real-time electricity consumption) of the electric devices a and B, the real-time energy consumption data (e.g., real-time electricity consumption) of the energy consumer 01, the real-time energy consumption data (e.g., real-time electricity consumption) of the electric device F, the real-time electricity consumption of the electric devices a and B are summarized to obtain the summarized electricity consumption, and the real-time electricity consumption of the electric device F is summarized to obtain the summarized electricity consumption. And then, the summarized electricity consumption and the summarized gas consumption are sent to a load scheduling party.
And the load scheduling party can respectively calculate the effective scheduling load quantity of various energy sources according to the summarized power consumption and the summarized gas consumption sent by the load aggregation scheduling party. In one embodiment, the (electricity) effective scheduling load amount may be measured by summarizing a percentage of the amount of power usage for scheduling period 01. The (gas usage) effective scheduling load amount may be measured by a percentage of the scheduling amount of the aggregated gas usage amount at scheduling period 01.
As an example, a correspondence table of the effective scheduling load amount and the scheduling excitation value may be preset, and the scheduling excitation value corresponding to the effective scheduling load amount of each gradient may be determined through the correspondence table.
In some embodiments, the above method further comprises:
receiving a dispatching excitation value issued by a load dispatcher;
and determining the due incentive value of each energy user according to the scheduling incentive value and the real-time energy data of each energy user, and distributing the due incentive value to the corresponding energy user.
With reference to the above example, after receiving the scheduling incentive value (e.g., scheduling revenue, bonus) issued by the load scheduling party, the load aggregation scheduling party may determine the incentive value that should be obtained according to the real-time energy data of each energy consuming party. For example, if the effective scheduling load of the electric devices a and B participating in the response scheduling by the energy consumer 01 is 50%, and the corresponding accrual incentive value is K, the accrual incentive value K may be issued to the energy consumer 01.
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 scheduling apparatus according to an embodiment of the present disclosure. As shown in fig. 3, the load aggregation scheduling apparatus includes:
the information acquisition module 301 is configured to acquire adjustable load information reported by a plurality of energy users, wherein the adjustable load information comprises an adjustable participation device, an adjustable time period and an adjustable amount;
a summarizing module 302 configured to summarize adjustable load information of a plurality of energy consumers, obtain a total power curve, and transmit the total power curve to a load scheduling party, so that the load scheduling party determines a scheduling power curve according to the total power curve;
the decomposition module 303 is configured to receive a scheduling power curve issued by a load scheduler, decompose the scheduling power curve, and obtain a load scheduling plan corresponding to each energy user;
and the scheduling execution module 304 is configured to issue the load scheduling plan to the corresponding energy user and execute the load scheduling plan.
According to the technical scheme provided by the embodiment of the disclosure, the information acquisition module 301 is used for acquiring the adjustable load information reported by a plurality of energy users, wherein the adjustable load information comprises participatable adjusting equipment, an adjustable time period and an adjustable quantity; the summarizing module 302 summarizes the adjustable load information of a plurality of energy users to obtain a total power curve, and transmits the total power curve to the load scheduling party, so that the load scheduling party determines a scheduling power curve according to the total power curve; the decomposition module 303 receives a scheduling power curve issued by a load scheduler, decomposes the scheduling power curve, and obtains a load scheduling plan corresponding to each energy user; the scheduling execution module 304 issues the load scheduling plan to the corresponding energy user, executes the load scheduling plan, and can well aggregate vast small and medium-sized enterprises, so that the enterprises can indirectly participate in the demand side response service, the timeliness of the demand side response is improved, and the flexibility of energy scheduling is effectively improved.
The following is a specific example of an overall business process of load aggregation scheduling provided by the embodiments of the present disclosure.
The process comprises the following steps:
1. user declaring adjustable resources
The day 9: before 00, the user (energy user) declares the equipment and time period that the next day can participate in peak shaving. The aggregator (load aggregation scheduling party) draws the adjustment resource information into an electricity power curve of the next day, the granularity is 15min, and 96 points are obtained in 24 hours
The user may select a system recommendation curve (the program calculates predictions from the average power over the first three days) or fill out the declaration autonomously.
And (3) the user needs to declare peak shaving price at the same time, the granularity is 15min, and 96 points are obtained in 24 hours, so that the peak shaving price is used as reference for a power grid (a load dispatcher).
2. Load aggregated scheduler summary power curve
The day 9: and before 30, aggregating the summary power curve declared by the user by the aggregator, and reporting the summary power curve together with the quoted price to the power grid for dispatching, wherein the granularity of the curve is 15min, and 96 points are obtained in 24 hours.
3. Power curve issued by load scheduling party
After the load aggregator aggregates the power curve of the user and reports the power curve to the power grid for dispatching, the power grid dispatching center is 17: and before 00, issuing a summary power curve of all users responsible for the load aggregator, wherein the granularity is 15min, and 96 points are obtained in 24 hours.
4. Device power curve after load aggregation scheduling decomposition
And the load aggregator receives the scheduled issued power curve, and 18: before 00, decomposing the particles into different devices of different users to form a power curve of the decomposed devices, wherein the granularity is 15min, and 96 points are obtained in 24 hours.
5. Revenue issuing by power grid (load scheduling party)
The power grid 23:00 issues effective adjusting power generated by the power declared by the aggregator yesterday, and benefits are calculated through the power and issued to the aggregator platform.
6. Revenue calculation
(1) The power grid issuing income is the total income of the aggregators;
(2) by real-time power and baseline load for each enterprise device on that day (according to weekday or non-weekday;
(3) same rule calculation) to calculate effective and profitable adjusting power, wherein the granularity is 15 min; and carrying out overall proportion on the utility adjusting power to calculate the benefit occupied by each device and the utility electric quantity.
7. Integral computing store
Through calculating the 15-minute-level use effect adjustment quantity, the income, the price and the like of each device for gathering and displaying, a table can be formed for downloading.
After the power grid issues data such as execution power, execution price (granularity is 15min) and the like, the program decomposes the issued power (calculates according to the declared power ratio of each device). When the load scheduling aggregator actually executes the load scheduling on the next day, the load scheduling aggregator can regulate and control the on-off or power of the equipment which uses the energy party to participate in scheduling through the AGC control instruction, and the demand of performing peak clipping and valley filling on line is realized.
In the embodiment of the present disclosure, the total traffic and technology implementation (Web service) of the load aggregation scheduler is as follows:
1. the load aggregation scheduling party can provide corresponding services by a mobile phone APP terminal, a computer client terminal and a webpage version.
2. An energy enterprise (energy using party) can simultaneously perform power declaration operation at the three ends, and products at each end can perform real-time communication through WebSocket (a new network protocol based on TCP);
3. the load aggregation scheduling party performs power summarization at a PC (personal computer) end, performs data communication with a power grid (load scheduling party) through WebService and declares the total power of the aggregator;
4. after the power grid is declared by the aggregator, data transmission is carried out through a WebService channel connected with the aggregator, and the adjustment power to be executed by the aggregator is issued;
5. after receiving data issued by a power grid, the aggregator platform program stores the database, connects a client through WebSocket and pushes power data issued by the power grid in real time;
6. starting to control each enterprise device through a device gateway protocol according to data issued by a power grid at the 0 th day, and mainly controlling the on-off and power regulation of a switch;
7. in the execution process of the equipment, equipment data can be uploaded to a aggregator platform in real time through a gateway protocol, the platform is uploaded to a power grid in real time through WebService, and the power grid performs benefit calculation through real-time data;
8. the power grid of the second day is connected with the aggregator platform through WebService service, and the revenue generated by effectively adjusting power of the aggregator platform every yesterday is issued;
9. and after receiving the income, the aggregator platform is calculated and pushed to each device and each enterprise in real time through WebSocket.
The technical scheme provided by the embodiment of the disclosure can guide the energy utilization party to optimize the power utilization load, relieve the power grid operation pressure and enhance the power grid emergency regulation capability, and can realize load scheduling by controlling the equipment switch of the energy utilization party to participate in scheduling regulation and regulating the power on a real-time line, thereby realizing the total peak clipping and valley filling of the load.
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 4 provided by the embodiment of the present disclosure. As shown in fig. 4, the electronic apparatus 4 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 4.
The electronic device 4 may be a desktop computer, a notebook, a palm computer, a cloud server, or other electronic devices. The electronic device 4 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 the electronic device 4, and does not constitute a limitation of the electronic device 4, and may include more or less components than those 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 4, for example, a hard disk or a memory of the electronic device 4. The memory 402 may also be an external storage device of the electronic device 4, 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 4. Further, the memory 402 may also include both internal storage units of the electronic device 4 and external storage devices. The memory 402 is used for storing computer programs and other programs and data required by the electronic device. The memory 602 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 scheduling method is characterized by comprising the following steps:
acquiring adjustable load information reported by a plurality of energy users, wherein the adjustable load information comprises participatable adjusting equipment, an adjustable time period and an adjustable quantity;
summarizing the adjustable load information of the plurality of energy users to obtain a total power curve, and transmitting the total power curve to a load scheduling party so that the load scheduling party determines a scheduling power curve according to the total power curve;
receiving a dispatching power curve issued by the load dispatching party, decomposing the dispatching power curve, and obtaining a load dispatching plan corresponding to each energy user;
and issuing the load scheduling plan to the corresponding energy user, and executing the load scheduling plan.
2. The method of claim 1, wherein aggregating the adjustable load information of the plurality of energy consumers to obtain a total power curve comprises:
extracting participatable adjusting equipment belonging to the same category, and an adjustable time period and an adjustable amount corresponding to the participatable adjusting equipment from the adjustable load information of the plurality of energy users;
and summarizing the adjustable time periods and the adjustable quantities of the participatable adjusting devices of the same category of the plurality of energy users to generate a total power curve corresponding to each participatable adjusting device of the same category.
3. The method of claim 1, wherein aggregating the adjustable load information of the plurality of energy consumers to obtain a total power curve comprises:
extracting adjustable time periods belonging to the same time interval, and participatable adjusting equipment and adjustable quantity corresponding to the adjustable time periods from the adjustable load information of the plurality of energy users;
and summarizing the participatable adjusting equipment and the adjustable quantity of the same adjustable time period of the plurality of energy users to generate a total power curve corresponding to each same adjustable time period.
4. The method of claim 3, wherein the adjustable load information further comprises a load energy type;
the step of summarizing the participatable adjusting devices and the adjustable quantities of the same adjustable time period of the plurality of energy users to generate a total power curve corresponding to each same adjustable time period comprises the following steps:
extracting participatory adjustable equipment and adjustable quantity of the plurality of energy users belonging to the same load energy type in the same adjustable time period;
and summarizing the participatory adjusting equipment and the adjustable quantity belonging to the same energy type in the same adjustable time period of the plurality of energy users to generate a total power curve.
5. The method of claim 1, wherein decomposing the dispatch power curve to obtain a load dispatch plan corresponding to each of the energy consumers comprises:
extracting all scheduling periods, scheduling equipment and scheduling quantity corresponding to each scheduling period from the scheduling power curve;
acquiring equipment information of the scheduling equipment, and determining an energy user to which the scheduling equipment belongs according to the equipment information;
and generating a load scheduling plan corresponding to the energy users according to the scheduling equipment, the scheduling amount and the scheduling time period belonging to each energy user.
6. The method of claim 1, wherein the issuing the load scheduling plan to the corresponding energy consumer and executing the load scheduling plan comprises:
sending a corresponding load scheduling plan and a scheduling response confirmation request to each energy utilization party;
and executing the load scheduling plan according to scheduling response confirmation information fed back by the energy user, wherein the scheduling response confirmation information comprises response scheduling equipment, a response scheduling time interval and a response scheduling amount.
7. The method of claim 6, further comprising:
acquiring real-time energy consumption data of response scheduling equipment of each energy consumption party, and summarizing the real-time energy consumption data to obtain a summarizing result;
and sending the summary result to the load scheduling party so that the load scheduling party calculates an effective scheduling load according to the summary result and determines a corresponding scheduling excitation value according to the effective scheduling load.
8. The method of claim 7, further comprising:
receiving the dispatching excitation value issued by the load dispatcher;
and determining the due incentive value of each energy user according to the scheduling incentive value and the real-time energy data of each energy user, and issuing the due incentive value to the corresponding energy user.
9. A load aggregation scheduling apparatus, comprising:
the information acquisition module is configured to acquire adjustable load information reported by a plurality of energy users, and the adjustable load information comprises an adjustable participation device, an adjustable time period and an adjustable amount;
the summarizing module is configured to summarize the adjustable load information of the plurality of energy users, obtain a total power curve, and transmit the total power curve to the load scheduling party, so that the load scheduling party determines a scheduling power curve according to the total power curve;
the decomposition module is configured to receive a scheduling power curve issued by the load scheduling party, decompose the scheduling power curve, and obtain a load scheduling plan corresponding to each energy user;
and the scheduling execution module is configured to issue the load scheduling plan to the corresponding energy user and execute the load scheduling plan.
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.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114612021A (en) * | 2022-05-12 | 2022-06-10 | 四川大学 | Multi-granularity-attribute-considered thermal load cooperative regulation and control method |
| 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 |
| CN116544955A (en) * | 2023-07-03 | 2023-08-04 | 阳光慧碳科技有限公司 | Load regulation and control method, device and system |
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2022
- 2022-01-26 CN CN202210094286.9A patent/CN114421467A/en active Pending
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114612021A (en) * | 2022-05-12 | 2022-06-10 | 四川大学 | Multi-granularity-attribute-considered thermal load cooperative regulation and control method |
| CN114612021B (en) * | 2022-05-12 | 2022-09-13 | 四川大学 | Multi-granularity-attribute-considered thermal load cooperative regulation and control method |
| 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 |
| CN116544955A (en) * | 2023-07-03 | 2023-08-04 | 阳光慧碳科技有限公司 | Load regulation and control method, device and system |
| CN116544955B (en) * | 2023-07-03 | 2023-11-24 | 阳光慧碳科技有限公司 | Load regulation and control method, device and system |
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