CN113011774A - Power scheduling method and device, electronic equipment and computer readable medium - Google Patents
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Abstract
The disclosure is applicable to the technical field of power dispatching, and provides a power dispatching method, a device, electronic equipment and a computer readable medium, comprising: acquiring a power limiting index; acquiring information of enterprises meeting the power limit index range to obtain an enterprise information set; determining the limitable load capacity of each enterprise in the at least one enterprise to obtain a limitable load capacity set; determining the total index of the limited electric quantity of the enterprise; determining the actual electricity limiting amount of each enterprise in the at least one enterprise to obtain an actual electricity limiting amount set of the enterprise; and finishing power dispatching. The embodiment can obtain the power consumption which can be reduced when the enterprises meet the normal operation condition by determining the limited load capacity of each enterprise, so that the government can distribute more accurately when limiting the power of the enterprises.
Description
Technical Field
The invention belongs to the field of power dispatching, and particularly relates to a power dispatching method, a power dispatching device, electronic equipment and a computer readable medium.
Background
With the adjustment of economic structures of provinces and urban areas in China, high-energy-consumption industries are reduced, service transportation, finance, housing estate and high and new industries are developed rapidly, and power supply gaps still exist in local areas, so that power limiting operation is occasionally needed. The method mainly controls the total amount by limiting the electricity consumption or power failure of important energy consumption units in most areas, but the current technical scheme does not analyze the electricity consumption condition of each enterprise, so that the target distribution is unreasonable during electricity limiting, and the economic loss caused by electricity limiting is overlarge.
Disclosure of Invention
In view of this, the embodiments of the present disclosure provide a power scheduling method, a power scheduling apparatus, an electronic device, and a computer-readable medium, to solve the technical problem that target allocation is not reasonable when power is limited because power consumption of each enterprise is not analyzed.
In a first aspect, some embodiments of the present disclosure provide a power scheduling method, the method including:
acquiring a power limiting index;
acquiring information of at least one enterprise which accords with the power limit index range to obtain an enterprise information set;
determining a limitable load capacity of each enterprise in the at least one enterprise based on the enterprise information set to obtain a limitable load capacity set;
determining an enterprise electricity limiting total index based on the electricity limiting index and the limitable load capacity set;
determining the actual electricity limiting amount of each enterprise in the at least one enterprise based on the enterprise information set and the total enterprise electricity limiting amount index to obtain an actual enterprise electricity limiting amount set;
and finishing power dispatching based on the actual power limit set of the enterprise.
In a second aspect, some embodiments of the present disclosure provide a power scheduling apparatus, including: a power limit index acquisition unit configured to acquire a power limit index; the enterprise information acquisition unit is configured to acquire information of at least one enterprise which accords with the power limit index range to obtain an enterprise information set; a load-limitable amount determining unit configured to determine a load-limitable amount of each enterprise of the at least one enterprise based on the enterprise information sets, resulting in a load-limitable amount set; an enterprise electricity limit total index determination unit configured to determine an enterprise electricity limit total index based on the electricity limit index and the set of load limits; an enterprise actual electricity limiting amount set determining unit configured to determine an actual electricity limiting amount of each enterprise in the at least one enterprise based on the enterprise information set and the enterprise electricity limiting amount total index, to obtain an enterprise actual electricity limiting amount set; a power scheduling unit configured to complete power scheduling based on the set of actual power limits for the enterprise.
In a third aspect, some embodiments of the present disclosure provide an electronic device, comprising: one or more processors; a storage device having one or more programs stored thereon; when executed by the one or more processors, cause the one or more processors to implement a method as described in the first aspect.
In a fourth aspect, some embodiments of the disclosure provide a computer readable storage medium storing a computer program which, when executed by a processor, implements a method as described in the first aspect.
Compared with the prior art, the embodiment of the disclosure has the advantages that at least: by determining the limited load capacity of each enterprise, the power consumption of the enterprise which can be reduced when the enterprise meets normal operation conditions is obtained, so that the government can distribute more accurately when limiting the power of the enterprise.
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 schematic diagram of one application scenario of a power scheduling method according to some embodiments of the present disclosure;
fig. 2 is a flow diagram of some embodiments of a power scheduling method according to the present disclosure;
FIG. 3 is a flow diagram of further embodiments of a power scheduling method according to the present disclosure;
FIG. 4 is a flow diagram of further embodiments of a power scheduling method according to the present disclosure;
FIG. 5 is a flow diagram of further embodiments of a power scheduling method according to the present disclosure;
fig. 6 is a schematic structural diagram of some embodiments of a power scheduling apparatus according to the present disclosure;
FIG. 7 is a schematic structural diagram of an electronic device suitable for use in implementing some embodiments of the present disclosure;
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is to be understood that the disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.
It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings. The embodiments and features of the embodiments in the present disclosure may be combined with each other without conflict.
It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.
It is noted that references to "a", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates otherwise.
The names of messages or information exchanged between devices in the embodiments of the present disclosure are for illustrative purposes only, and are not intended to limit the scope of the messages or information.
The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Fig. 1 is a schematic diagram of one application scenario of a power scheduling method according to some embodiments of the present disclosure.
In the application scenario of fig. 1, first, the computing device 101 may obtain the power limit indicator 102. The computing device 101 may then obtain information for at least one business that meets the electricity limit indicator 102, resulting in a business information set 103. Thereafter, the computing device 101 may determine a set of scalable loads for each of the at least one enterprise based on the set of enterprise information 103, resulting in a set of scalable loads 104. Thereafter, the computing device 101 may determine an enterprise electricity limit total indicator 105 based on the electricity limit indicator 102 and the set of load limits 104. Then, the computing device 101 may determine an actual electricity limit for each of the at least one enterprise based on the set of enterprise information 103 and the total enterprise electricity limit indicator 105, resulting in a set of actual enterprise electricity limit 106. Finally, the computing device 101 may complete power scheduling based on the set of enterprise practical limit amounts 106.
The computing device 101 may be hardware or software. When the computing device is hardware, it may be implemented as a distributed cluster composed of multiple servers or terminal devices, or may be implemented as a single server or a single terminal device. When the computing device is embodied as software, it may be installed in the hardware devices enumerated above. It may be implemented, for example, as multiple software or software modules to provide distributed services, or as a single software or software module. And is not particularly limited herein.
It should be understood that the number of computing devices in FIG. 1 is merely illustrative. There may be any number of computing devices, as implementation needs dictate.
With continued reference to fig. 2, a flow 200 of some embodiments of a method of power scheduling in accordance with the present disclosure is shown. The method may be performed by the computing device 101 of fig. 1. The power dispatching method comprises the following steps:
In some embodiments, an executing subject of the power scheduling method (e.g., the computing device 101 shown in fig. 1) may receive the power limit indicator input by the administrator for the preset login page through a wired connection manner or a wireless connection manner. The electricity-limiting index refers to the data of the electric quantity to be reduced, and as an example, the electricity-limiting index can be 100 (ten thousand kilowatts).
It should be noted that the wireless connection means may include, but is not limited to, a 3G/4G connection, a WiFi connection, a bluetooth connection, a WiMAX connection, a Zigbee connection, a uwb (ultra wideband) connection, and other wireless connection means now known or developed in the future.
In some embodiments, the execution subject may obtain information of at least one enterprise meeting the power-limiting index range, to obtain an enterprise information set.
For example, the enterprise information set includes multi-dimensional information of the at least one enterprise, and may include production characteristic information, environmental protection level information, power consumption information, industry attribute information, power consumption load information, equipment maintenance information, peak avoidance capability information, and the like.
In some embodiments, the execution subject may determine a scalable load capacity for each of the at least one enterprise based on the set of enterprise information, resulting in a scalable load capacity set. The load-limitable amount refers to the amount of electricity that each enterprise can cut down in a preset time period without affecting normal operation. As an example, enterprise a has a maximum power consumption of 8 ten thousand kilowatts throughout the day, and a power consumption of 2 ten thousand kilowatts between 8:00 and 12: 00; enterprise B has an actual power consumption of 6 ten thousand kilowatts on a day and a power consumption of 6 ten thousand kilowatts between 8:00 and 12: 00; therefore, during the period from 8:00 to 12:00, the limited load capacity of enterprise a is 4 × 8 (2) ═ 24 (kilowatt hours), and the limited load capacity of enterprise a is 4 × 6 (6) ═ 0 (kilowatt hours).
And step 204, determining the total index of the enterprise electricity limiting amount based on the electricity limiting index and the set of the limitable load amount.
In some embodiments, the execution subject may sum the finite load quantities in the finite coincidence quantity set to obtain a summation result. Then, the executing body may calculate a total enterprise electricity limit index based on a difference between the summation result and the electricity limit index.
In some embodiments, the executing entity may obtain the set of actual power limits of the enterprise through the following steps. In a first step, the executing entity may determine an actual power limit proportion of each enterprise of the at least one enterprise based on the enterprise information set. As an example, an actual power limit proportion for each business is determined based on the actual power usage of each business of the at least one business. Secondly, the executing body may determine the actual power limit amount of each enterprise in the at least one enterprise based on the actual power limit proportion of each enterprise in the at least one enterprise and the total enterprise power limit amount index, so as to obtain an actual power limit amount set of the enterprise.
It should be noted that the reference information for determining the actual power limiting ratio of each enterprise includes, but is not limited to, production characteristic information, environmental protection level information, power consumption information, industry attribute information, power consumption information, power load information, equipment maintenance information, peak shifting and avoiding capability information, and the like of the enterprise.
And step 206, finishing power dispatching based on the actual power limit set of the enterprise.
In some embodiments, the executing entity performs power scheduling based on the set of actual power limits of the enterprise.
In some optional implementations of some embodiments, the amount of the unlimited load of each of the at least one enterprise may change in different preset time periods. As an example, one of the at least one enterprise has different corresponding limitable load capacities in three time periods of an early peak (8:00-12:00), a waist peak (12:00-17:00) and a late peak (17:00-22: 00).
To better understand the present embodiment, the following describes the present embodiment with a specific application scenario:
the executing agent may be the computing device 101 in fig. 1, and the electricity limit index is obtained to be 100 kilowatts. And 3 enterprises, namely an enterprise A, an enterprise B and an enterprise C, are shared in the power-limiting index range, and the daily average possible load capacity a1 is 10 (ten thousand kilowatts), B1 is 9.2 (ten thousand kilowatts) and C1 is 11.9 (ten thousand kilowatts) of the enterprise A, B, C are respectively obtained, so that the total index E of the power-limiting capacity of the enterprise is calculated to be 100-10-9.2-11.9 is 68.9 (ten thousand kilowatts). The daily average power consumption of the enterprise A, B, C is respectively obtained as 65.8 (ten thousand kilowatts), b2 is 70 (ten thousand kilowatts) and c2 is 59.9 (ten thousand kilowatts), and according to the daily average power consumption, the actual power limit proportion of the enterprise A, B, C is respectively determined as 0.34 as a3, 0.36 as b3 and 0.30 as c 3. The actual power limits of the enterprise A, B, C may be calculated as a4 ═ 68.9 ═ 0.34 ═ 23.43 (ten thousand kilowatts), b4 ═ 68.9 ═ 0.36 ═ 24.8 (ten thousand kilowatts), and c4 ═ 68.9 ═ 0.31 ═ 20.67 (ten thousand kilowatts), and power scheduling is performed according to the data of a4, b4, and c 4.
In addition, the application scenarios provided in the present embodiment are only used to explain some embodiments of the present disclosure, and do not limit the scope of the present disclosure.
The beneficial effects of the disclosed embodiment at least include: by determining the limited load capacity of each enterprise, the power consumption of the enterprise which can be reduced when the enterprise meets normal operation conditions is obtained, so that the government can distribute more accurately when limiting the power of the enterprise.
With continuing reference to fig. 3 and with continuing reference to fig. 3, a flow 300 of further embodiments of a power scheduling method according to the present disclosure is shown. The method may be performed by the computing device 101 of fig. 1. The power scheduling method in the statistic specific time period comprises the following steps:
and 301, acquiring a power limiting index.
And 302, acquiring information of at least one enterprise meeting the power limit index range to obtain an enterprise information set.
And step 304, determining an enterprise electricity limiting amount total index based on the electricity limiting index and the limitable load amount set.
In some embodiments, the specific implementation and technical effects of steps 301 and 304 may refer to steps 201 and 204 in the embodiments corresponding to fig. 2, which are not described herein again.
And 305, scoring the basic information of each enterprise in the at least one enterprise based on preset weight to obtain information scoring set.
In some embodiments, the execution subject may score the basic information of each of the at least one enterprise based on a preset weight, so as to obtain the information scoring set.
For example, as shown in the following table, the enterprise information may include 6 items, such as a production characteristic (with a preset weight of 0.1), a kilowatthour power value (with a preset weight of 0.2), an environmental level (with a preset weight of 0.1), a power consumption (with a preset weight of 0.2), an industry attribute (with a preset weight of 0.2), a last year double control index completion condition (with a preset weight of 0.3), and the score of each enterprise in the at least one enterprise is calculated to obtain the information evaluation set. Wherein the double-control index refers to a comprehensive energy consumption (total social energy consumption) increment control target and a comprehensive energy consumption intensity reduction target; wherein, the comprehensive energy consumption increment control target means that all energy consumed by a local area is converted into the total amount of standard coal within a period of time when a country or a self-government issues to each province or each union city; the comprehensive energy consumption intensity reduction target refers to the percentage reduction of unit GDP energy consumption in an equal ratio within a period of time when a country or a self-government issues to each province or each union city (the unit GDP energy consumption refers to how many tons of standard coal are consumed by ten thousand yuan of GDP generated by a local region).
The method and the device can improve the completeness of enterprise evaluation by performing multi-aspect evaluation on conditions such as production characteristics, kilowatthour power generation value, environmental protection level, power consumption, industry attributes, last year double-control index completion condition and the like, so that the government can evaluate enterprises more comprehensively; by scoring each enterprise in the at least one enterprise, various information of the enterprise can be digitally scored, and different enterprises can be conveniently classified, ranked and the like by governments, and then relevant scheduling is carried out.
And step 306, determining the electricity limit proportion of each enterprise in the at least one enterprise based on the information evaluation set.
In some embodiments, the performing agent may determine the electricity limit proportion of each of the at least one enterprise based on the information evaluation set. As an example, the set of information scores may be the following information: an enterprise A: 18 (minute), enterprise B: 10 (fen), enterprise C: 21 (minute), enterprise D: 16 parts (min); the calculated ratio a of enterprise a is 18/(18+10+21+16) 0.28, the ratio a of enterprise B is 10/(18+10+21+16) 0.15, the ratio a of enterprise C is 21/(18+10+21+16) 0.32, and the ratio a of enterprise D is 16/(18+10+21+16) 0.25.
And 307, calculating to obtain the actual electricity limiting amount of each enterprise in the at least one enterprise based on the electricity limiting proportion of each enterprise and the total enterprise electricity limiting amount index to obtain an actual electricity limiting amount set of the enterprise.
In some embodiments, the executing entity may calculate an actual electricity limiting amount of each enterprise in the at least one enterprise based on the electricity limiting proportion of each enterprise and the total enterprise electricity limiting amount index, so as to obtain an actual electricity limiting amount set of the enterprise.
According to the embodiment of the disclosure, the power limit proportion of each enterprise in the at least one enterprise is determined based on the information evaluation set, so that the power limit of each enterprise can be more finely distributed, and the distribution precision of the power limit is greatly improved.
And 308, finishing power dispatching based on the actual power limit set of the enterprise.
In some embodiments, this step may refer to step 206 in those embodiments corresponding to fig. 2, which is not described herein again.
With further reference to fig. 4, a flow 400 of further embodiments of a power scheduling method according to the present disclosure is shown. The method may be performed by the computing device 101 of fig. 1. The power dispatching method comprises the following steps:
And 402, acquiring information of at least one enterprise meeting the power limit index range to obtain an enterprise information set.
And step 404, determining an enterprise electricity limiting amount total index based on the electricity limiting index and the limitable load amount set.
In some embodiments, the specific implementation and technical effects of steps 401 and 404 may refer to steps 201 and 204 in the embodiments corresponding to fig. 2, which are not described herein again.
in some embodiments, the execution subject may obtain a basic information evaluation of each of the at least one enterprise, and filter the high-quality enterprise set and the common enterprise set. By way of example, referring to the following table, the enterprise completed by the dual-control index may be classified into a high-quality enterprise set, and the rest of the enterprises may be classified into a common enterprise set.
And obtaining the target electricity limiting amount of the common enterprise by the target electricity limiting amount of each enterprise.
In some embodiments, the execution subject may obtain the common enterprise target electricity limit set by:
in the first step, the execution main body can obtain the ratio of the target limited power to the daily average power consumption.
And secondly, calculating to obtain the target electricity limiting amount of each enterprise in the common enterprise set based on the ratio of the target electricity limiting amount to the daily average electricity consumption by the execution main body, so as to obtain the common enterprise target electricity limiting amount set.
In an example, the daily average power consumption of the enterprise B in the common enterprise set is 30 ten thousand kilowatts, the ratio of the target limited power to the daily average power consumption is 80%, and then the target limited power of the enterprise is 30 × 0.8 — 24 (ten thousand kilowatts), and each enterprise in the common enterprise set is calculated to obtain the target limited power set of the common enterprise.
And 407, determining a total index of the limited power of the common enterprise based on the target limited power set of the common enterprise.
In some embodiments, the execution subject may determine a general enterprise electricity limit total indicator based on the general enterprise target electricity limit set.
in some embodiments, the execution subject may obtain the actual limit power set of the common enterprise according to the following steps: firstly, the executive body determines that the total index of the limited electric quantity of the common enterprise is not less than the total index of the limited electric quantity of the enterprise. And secondly, determining the actual electricity limiting proportion of each common enterprise by the execution main body based on the information of each common enterprise in the common enterprise set. As an example, the actual electricity limiting proportion of each common enterprise is determined according to the actual electricity consumption of each common enterprise. And thirdly, determining the actual electricity limiting amount of each common enterprise by the execution main body based on the actual electricity limiting proportion of each common enterprise and the total enterprise electricity limiting amount index to obtain an actual electricity limiting amount set of the common enterprise.
It should be noted that the reference information for determining the actual power limiting ratio of each common enterprise includes, but is not limited to, production characteristic information, environmental protection level information, power consumption information, industry attribute information, power consumption information, power load information, equipment maintenance information, peak shifting and avoiding capability information, and the like of the enterprise.
And 409, setting the power limit of each high-quality enterprise in the high-quality enterprise set as a preset value to obtain an actual power limit set of the high-quality enterprise.
In some specific embodiments, the execution main body sets the power limit amount of each high-quality enterprise in the high-quality enterprise set to a preset value, so as to obtain an actual power limit amount set of the high-quality enterprise. As an example, the electricity limit amount of each good-quality enterprise in the good-quality enterprise set is set to 0, so as to obtain an actual electricity limit amount set of the good-quality enterprises.
In some embodiments, in response to determining that the common enterprise electricity limit total indicator is less than the enterprise electricity limit total indicator, the executive agent may determine a premium enterprise electricity limit total indicator.
In some embodiments, the executing agent may obtain the set of actual limit electric quantity of the high-quality enterprise according to the following steps: firstly, the execution main body determines the actual electricity limiting proportion of each high-quality enterprise based on the information of each high-quality enterprise in the high-quality enterprise set. As an example, the actual power limit proportion of each good-quality business is determined according to the daily average power consumption of each good-quality business. And secondly, determining the actual electricity limiting quantity of each high-quality enterprise by the execution main body based on the actual electricity limiting proportion of each high-quality enterprise and the total electricity limiting quantity index of the high-quality enterprises to obtain an actual electricity limiting quantity set of the high-quality enterprises, wherein the content of the actual electricity limiting quantity set of the common enterprises is the same as the content of the target electricity limiting quantity set of the common enterprises.
It should be noted that the reference information for determining the actual power limiting ratio of each high-quality enterprise includes, but is not limited to, production characteristic information, environmental protection level information, power consumption information, industry attribute information, power consumption information, power load information, equipment maintenance information, peak shifting and avoiding capability information, and the like of the enterprise.
And step 412, combining the actual power limit quantity set of the common enterprise and the actual power limit quantity set of the high-quality enterprise to obtain an actual power limit quantity set of the enterprise.
In some embodiments, the execution main body combines the common enterprise actual power limit set and the high-quality enterprise actual power limit set to obtain an enterprise actual power limit set.
And 413, finishing power dispatching based on the actual power limit set of the enterprise.
In some embodiments, this step may refer to step 206 in those embodiments corresponding to fig. 2, which is not described herein again.
With further reference to fig. 5, a flow 500 of further embodiments of a power scheduling method according to the present disclosure is shown. The method may be performed by the computing device 101 of fig. 1. The power dispatching method comprises the following steps:
the disclosed embodiments can better support government-encouraged businesses or government-encouraged companies by dividing enterprises into premium enterprises and common enterprises.
And step 501, acquiring a total power limiting index.
In some embodiments, the executing entity of the power scheduling method (e.g., the computing device 101 shown in fig. 1) may receive the total power limit total index input by the administrator for the preset login page through a wired connection manner or a wireless connection manner.
It should be noted that the wireless connection means may include, but is not limited to, a 3G/4G connection, a WiFi connection, a bluetooth connection, a WiMAX connection, a Zigbee connection, a uwb (ultra wideband) connection, and other wireless connection means now known or developed in the future.
In some embodiments, the execution main body may obtain a configuration index of at least one power supply line within the total power limit index range, to obtain a power supply line index set. As an example, the configuration index may set the power limit value of each of the at least one power supply line to the same or different preset values, a sum of the same or different preset values being equal to a total power limit index; the configuration index may also be a ratio of the power limit index of each power supply line to the total power limit index in the at least one power supply line, and a sum of the ratios of each power supply line to the total power limit index is equal to 1.
In some embodiments, the executing entity may calculate, based on the power supply line index set and the total power limit index, a power limit index of each power supply line of the at least one power supply line.
The total power limiting index is distributed to different power supply circuits to obtain the power limiting index of each power supply circuit, the total power limiting index can be distributed layer by layer according to requirements, and the assignment of tasks by governments is facilitated.
505, acquiring information of at least one enterprise meeting the power limit index range to obtain an enterprise information set;
step 506, determining a limitable load capacity of each enterprise in the at least one enterprise based on the enterprise information set to obtain a limitable load capacity set;
step 508, based on the enterprise information set and the total enterprise electricity limit index, determining the actual electricity limit of each enterprise in the at least one enterprise to obtain an actual enterprise electricity limit set;
and 509, finishing power dispatching based on the actual power limit set of the enterprise.
In some embodiments, the specific implementation and technical effects of steps 504 and 509 can refer to steps 201 and 206 in the embodiments corresponding to fig. 2, which are not described herein again.
As shown in fig. 6, the power scheduling apparatus 600 of some embodiments includes: a power-limiting index acquisition unit 601, an enterprise information acquisition unit 602, a limited load amount determination unit 603, an enterprise power-limiting total index determination unit 604, an enterprise actual power-limiting amount set determination unit 605, and a power scheduling unit 606. Wherein, the power limit index obtaining unit 601 is configured to obtain a power limit index; an enterprise information obtaining unit 602 configured to obtain information of at least one enterprise that meets the power-limiting index range, resulting in an enterprise information set; a load-limitable-load-amount determining unit 603 configured to determine, based on the enterprise information sets, a load-limitable amount for each enterprise of the at least one enterprise, resulting in a load-limitable amount set; an enterprise electricity limiting total index determining unit 604 configured to obtain an enterprise electricity limiting total index based on the electricity limiting index and the set of the unlimited loads; an enterprise actual power limit set determining unit 605, configured to determine an actual power limit of each enterprise in the at least one enterprise based on the enterprise information set and the enterprise power limit total indicator, to obtain an enterprise actual power limit set; a power scheduling unit 606 configured to complete power scheduling based on the set of enterprise practical limit power.
In some optional implementations of some embodiments, the enterprise practical limit electricity set determination unit 605 is further configured to: based on preset weight, scoring the basic information of each enterprise in the at least one enterprise to obtain information scoring set; and calculating to obtain the actual electricity limiting amount of each enterprise in the at least one enterprise based on the information scoring set and the total enterprise electricity limiting amount index to obtain an actual enterprise electricity limiting amount set.
In some optional implementation manners of some embodiments, the calculating, based on the information score set and the total enterprise power limit indicator, an actual power limit of each enterprise in the at least one enterprise to obtain an actual power limit set of the enterprise includes: determining a power limit proportion for each of the at least one enterprise based on the set of information ratings; and calculating to obtain the actual power limit of each enterprise in the at least one enterprise based on the power limit proportion of each enterprise and the total enterprise power limit index to obtain an actual power limit set of the enterprise.
In some optional implementation manners of some embodiments, the basic information of each enterprise includes production characteristics, kilowatthour power generation value, environmental protection level, power consumption, industry attribute, and last year double control index completion condition.
In some optional implementations of some embodiments, the enterprise practical limit electricity set determination unit 605 is further configured to: obtaining basic information evaluation of each enterprise in the at least one enterprise, and screening to obtain a high-quality enterprise set and a common enterprise set; calculating to obtain a target electricity limiting amount of each enterprise in the common enterprise set based on the common enterprise set to obtain a common enterprise target electricity limiting amount set; determining a total index of the power limit of the common enterprise based on the target power limit set of the common enterprise; in response to determining that the total index of the electricity limiting amount of the common enterprises is not less than the total index of the electricity limiting amount of the enterprises, obtaining the actual electricity limiting amount of each common enterprise in the information set of the common enterprises based on the common enterprise set and the electricity limiting index, and obtaining the actual electricity limiting amount set of the common enterprises; setting the power limit of each high-quality enterprise in the high-quality enterprise set as a preset value to obtain an actual power limit set of the high-quality enterprise; and combining the actual power limit set of the common enterprise and the actual power limit set of the high-quality enterprise to obtain the actual power limit set of the enterprise.
In some optional implementations of some embodiments, the enterprise practical limit electricity set determination unit 605 is further configured to: obtaining basic information evaluation of each enterprise in the at least one enterprise, and screening to obtain a high-quality enterprise set and a common enterprise set; calculating to obtain a target electricity limiting amount of each enterprise in the common enterprise set based on the common enterprise set to obtain a common enterprise target electricity limiting amount set; determining a total index of the power limit of the common enterprise based on the target power limit set of the common enterprise; in response to determining that the common enterprise electricity-limiting total index is smaller than the enterprise electricity-limiting total index, determining a high-quality enterprise electricity-limiting total index; calculating to obtain the actual electricity limiting amount of each high-quality enterprise in the high-quality enterprise information set based on the high-quality enterprise information set and the total high-quality enterprise electricity limiting amount index to obtain a high-quality enterprise actual electricity limiting amount set, wherein the content of the common enterprise actual electricity limiting amount set is the same as that of the common enterprise target electricity limiting amount set; and combining the actual power limit set of the common enterprise and the actual power limit set of the high-quality enterprise to obtain the actual power limit set of the enterprise.
In some optional implementations of some embodiments, the power scheduling apparatus 600 further includes: a total power limit index acquisition unit configured to acquire a total power limit index; the configuration index acquisition unit is configured to acquire a configuration index of at least one power supply line in the total power limiting index range to obtain a power supply line index set; a calculating unit configured to calculate a power limit indicator for each of the at least one power supply line based on the power supply line indicator set and the total power limit indicator.
It will be understood that the elements described in the apparatus 600 correspond to various steps in the method described with reference to fig. 2. Thus, the operations, features and resulting advantages described above with respect to the method are also applicable to the apparatus 600 and the units included therein, and are not described herein again.
Referring now to FIG. 7, a block diagram of an electronic device (e.g., computing device 101 of FIG. 1)700 suitable for use in implementing some embodiments of the present disclosure is shown. The server shown in fig. 6 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
As shown in fig. 7, electronic device 700 may include a processing means (e.g., central processing unit, graphics processor, etc.) 701 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)702 or a program loaded from storage 708 into a Random Access Memory (RAM) 703. In the RAM 703, various programs and data necessary for the operation of the electronic apparatus 700 are also stored. The processing device 701, the ROM 702, and the RAM 703 are connected to each other by a bus 704. An input/output (I/O) interface 705 is also connected to bus 704.
Generally, the following devices may be connected to the I/O interface 705: input devices 706 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 707 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 708 including, for example, magnetic tape, hard disk, etc.; and a communication device 709. The communication means 709 may allow the electronic device 700 to communicate wirelessly or by wire with other devices to exchange data. While fig. 6 illustrates an electronic device 700 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided. Each block shown in fig. 6 may represent one device or may represent multiple devices as desired.
In particular, according to some embodiments of the present disclosure, the processes described above with reference to the flow diagrams may be implemented as computer software programs. For example, some embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In some such embodiments, the computer program may be downloaded and installed from a network via communications means 709, or may be installed from storage 708, or may be installed from ROM 702. The computer program, when executed by the processing device 701, performs the above-described functions defined in the methods of some embodiments of the present disclosure.
It should be noted that the computer readable medium described above in some embodiments of the present disclosure may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In some embodiments of the disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In some embodiments of the present disclosure, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
In some embodiments, the clients, servers may communicate using any currently known or future developed network Protocol, such as HTTP (HyperText Transfer Protocol), and may interconnect with any form or medium of digital data communication (e.g., a communications network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the Internet (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network.
The computer readable medium may be embodied in the apparatus; or may exist separately without being assembled into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: acquiring a power limiting index; acquiring information of at least one enterprise which accords with the power limit index range to obtain an enterprise information set; determining a limitable load capacity of each enterprise in the at least one enterprise based on the enterprise information set to obtain a limitable load capacity set; determining an enterprise electricity limiting total index based on the electricity limiting index and the limitable load capacity set; determining the actual electricity limiting amount of each enterprise in the at least one enterprise based on the enterprise information set and the total enterprise electricity limiting amount index to obtain an actual enterprise electricity limiting amount set; and finishing power dispatching based on the actual power limit set of the enterprise.
Computer program code for carrying out operations for embodiments of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in some embodiments of the present disclosure may be implemented by software, and may also be implemented by hardware. The described units may also be provided in a processor, and may be described as: a processor comprises a power limit index acquisition unit, an enterprise information acquisition unit, a load-limiting capacity determination unit, an enterprise power limit total index determination unit, an enterprise actual power limit set determination unit and a power scheduling unit. For example, the electricity limit index acquisition unit may also be described as a "unit that acquires an electricity limit index".
The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), systems on a chip (SOCs), Complex Programmable Logic Devices (CPLDs), and the like.
The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention in the embodiments of the present disclosure is not limited to the specific combination of the above-mentioned features, but also encompasses other embodiments in which any combination of the above-mentioned features or their equivalents is made without departing from the inventive concept as defined above. For example, the above features and (but not limited to) technical features with similar functions disclosed in the embodiments of the present disclosure are mutually replaced to form the technical solution.
Claims (10)
1. A power scheduling method, comprising:
acquiring a power limiting index;
acquiring information of at least one enterprise which accords with the power limit index range to obtain an enterprise information set;
determining a limitable load capacity of each enterprise in the at least one enterprise based on the enterprise information set to obtain a limitable load capacity set;
determining an enterprise electricity limiting total index based on the electricity limiting index and the limitable load capacity set;
determining the actual electricity limiting amount of each enterprise in the at least one enterprise based on the enterprise information set and the total enterprise electricity limiting amount index to obtain an actual enterprise electricity limiting amount set;
and finishing power dispatching based on the actual power limit set of the enterprise.
2. The power scheduling method according to claim 1, wherein the determining an actual power limit amount of each enterprise in the at least one enterprise based on the enterprise information set and the enterprise power limit amount total indicator to obtain an enterprise actual power limit amount set comprises:
based on preset weight, scoring the basic information of each enterprise in the at least one enterprise to obtain information scoring set;
and calculating to obtain the actual electricity limiting amount of each enterprise in the at least one enterprise based on the information scoring set and the total enterprise electricity limiting amount index to obtain an actual enterprise electricity limiting amount set.
3. The power scheduling method according to claim 2, wherein the calculating an actual power limit amount of each enterprise in the at least one enterprise based on the information score set and the total enterprise power limit amount index to obtain an actual enterprise power limit amount set comprises:
determining a power limit proportion for each of the at least one enterprise based on the set of information ratings;
and calculating to obtain the actual power limit of each enterprise in the at least one enterprise based on the power limit proportion of each enterprise and the total enterprise power limit index to obtain an actual power limit set of the enterprise.
4. The power dispatching method of claim 2, wherein the basic information of each enterprise comprises production characteristics, kilowatthour power value, environmental protection level, power consumption, industry attributes and last year double control index completion condition.
5. The power scheduling method according to any one of claims 1 to 4, wherein the determining the actual power limit of each enterprise in the at least one enterprise based on the enterprise information set and the total enterprise power limit indicator to obtain an actual enterprise power limit set comprises:
obtaining basic information evaluation of each enterprise in the at least one enterprise, and screening to obtain a high-quality enterprise set and a common enterprise set;
calculating to obtain a target electricity limiting amount of each enterprise in the common enterprise set based on the common enterprise set to obtain a common enterprise target electricity limiting amount set;
determining a total index of the power limit of the common enterprise based on the target power limit set of the common enterprise;
in response to determining that the total index of the electricity limiting amount of the common enterprises is not less than the total index of the electricity limiting amount of the enterprises, obtaining the actual electricity limiting amount of each common enterprise in the information set of the common enterprises based on the common enterprise set and the electricity limiting index, and obtaining the actual electricity limiting amount set of the common enterprises;
setting the power limit of each high-quality enterprise in the high-quality enterprise set as a preset value to obtain an actual power limit set of the high-quality enterprise;
and combining the actual power limit set of the common enterprise and the actual power limit set of the high-quality enterprise to obtain the actual power limit set of the enterprise.
6. The power scheduling method according to any one of claims 1 to 4, wherein the determining the actual power limit of each enterprise in the at least one enterprise based on the enterprise information set and the total enterprise power limit indicator to obtain an actual enterprise power limit set comprises:
obtaining basic information evaluation of each enterprise in the at least one enterprise, and screening to obtain a high-quality enterprise set and a common enterprise set;
calculating to obtain a target electricity limiting amount of each enterprise in the common enterprise set based on the common enterprise set to obtain a common enterprise target electricity limiting amount set;
determining a total index of the power limit of the common enterprise based on the target power limit set of the common enterprise;
in response to determining that the common enterprise electricity-limiting total index is smaller than the enterprise electricity-limiting total index, determining a high-quality enterprise electricity-limiting total index;
calculating to obtain the actual electricity limiting amount of each high-quality enterprise in the high-quality enterprise information set based on the high-quality enterprise information set and the total high-quality enterprise electricity limiting amount index to obtain a high-quality enterprise actual electricity limiting amount set, wherein the content of the common enterprise actual electricity limiting amount set is the same as that of the common enterprise target electricity limiting amount set;
and combining the actual power limit set of the common enterprise and the actual power limit set of the high-quality enterprise to obtain the actual power limit set of the enterprise.
7. The power scheduling method of claim 1, further comprising:
acquiring a total power limiting index;
acquiring a configuration index of at least one power supply line in the total power limiting index range to obtain a power supply line index set;
and calculating the power limit index of each power supply line in the at least one power supply line based on the power supply line index set and the total power limit index.
8. A power scheduling apparatus, comprising:
a power limit index acquisition unit configured to acquire a power limit index;
the enterprise information acquisition unit is configured to acquire information of at least one enterprise which accords with the power limit index range to obtain an enterprise information set;
a load-limitable amount determining unit configured to determine a load-limitable amount of each enterprise of the at least one enterprise based on the enterprise information sets, resulting in a load-limitable amount set;
an enterprise electricity limiting total index determining unit configured to obtain an enterprise electricity limiting total index based on the electricity limiting index and the set of the limitable load capacity;
an enterprise actual electricity limiting amount set determining unit configured to determine an actual electricity limiting amount of each enterprise in the at least one enterprise based on the enterprise information set and the enterprise electricity limiting amount total index, to obtain an enterprise actual electricity limiting amount set;
a power scheduling unit configured to complete power scheduling based on the set of actual power limits for the enterprise.
9. An electronic device, comprising:
one or more processors;
a storage device having one or more programs stored thereon;
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-7.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
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