CN109377051B - Method for determining avoidable cost distribution factor of power transmission and distribution unit and related product - Google Patents
Method for determining avoidable cost distribution factor of power transmission and distribution unit and related product Download PDFInfo
- Publication number
- CN109377051B CN109377051B CN201811243049.4A CN201811243049A CN109377051B CN 109377051 B CN109377051 B CN 109377051B CN 201811243049 A CN201811243049 A CN 201811243049A CN 109377051 B CN109377051 B CN 109377051B
- Authority
- CN
- China
- Prior art keywords
- load
- distribution
- intervals
- power transmission
- duration
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0637—Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The invention provides a method and a system for determining an avoidable cost distribution factor of a power transmission and distribution unit, computer equipment and a computer readable storage medium, wherein the method comprises the following steps: dividing the initial load and the highest load of the current power grid for switching off and limiting the power in a preset time period into N load intervals; acquiring load duration corresponding to each of the N load intervals; determining distribution factors corresponding to the N load intervals by using the load duration; wherein N is an integer greater than 1. The invention adopts a mode of dividing the load in a preset time period into regions, respectively counts and obtains the load duration of each region, and determines the distribution factor corresponding to each load region by using the load duration, thereby providing a different technical scheme for determining the distribution factor by using the temperature in the prior art, being beneficial to the perfection of a cost-benefit evaluation system of a demand side management project, and providing an accurate and comprehensive quantitative basis for the planning and operation of a power grid.
Description
Technical Field
The invention relates to the technical field of power transmission and distribution, in particular to a method for determining an avoidable cost distribution factor of a power transmission and distribution unit and a related product.
Background
The important role of demand-side management in effectively relieving power supply pressure and promoting energy conservation and emission reduction is receiving more and more attention. Energy-saving service companies are established among various network provincial companies, and power demand side management becomes an important content of daily operation of power grid enterprises in China at present. The calculation capable of avoiding the cost is the core content of the evaluation of the demand side management project, and the scientific and reasonable calculation capable of avoiding the cost is the key for correctly evaluating the demand side management project.
The power transmission and distribution system of the power grid is mainly built for coping with peak load, and the investment avoided in the peak time period and the valley time period of the power grid by implementing the demand side management measures is different, so that the investment annuity of the power transmission and distribution unit is necessarily distributed to each time period. Some literature indicates that the cost model for the power transmission and distribution unit in california can avoid calculating 8760 power transmission and distribution weights based on the hourly temperature of a typical meteorological year, with the highest temperature period having the greatest weight, temperatures 15 ℃ below peak temperature having the smallest weight, and periods having no weight above 15 ℃ below peak temperature. The method for determining the weight by using the temperature is not suitable for China due to the fact that China has wide regions, thousands of weather changes and insufficient temperature data statistics.
Therefore, how to provide a scheme for avoiding determining a cost distribution factor by a power transmission and distribution unit is beneficial to perfecting a cost benefit evaluation system of a demand side management project, and provides an accurate and comprehensive quantitative basis for planning and operating a power grid, which is a technical problem to be solved by technical personnel in the field.
Disclosure of Invention
In view of the above, the present invention provides a power transmission and distribution unit that can avoid determining a cost distribution factor and related products, and is beneficial to the perfection of a cost-benefit evaluation system of a demand-side management project, and provides an accurate and comprehensive quantitative basis for planning and operating a power grid. The specific scheme is as follows:
in a first aspect, the present invention provides a method for determining an avoidable cost distribution factor of a power transmission and distribution unit, including:
dividing the initial load and the highest load of the current power grid for switching off and limiting the power in a preset time period into N load intervals;
acquiring load duration corresponding to each of the N load intervals;
determining distribution factors corresponding to the N load intervals by using the load duration;
wherein N is an integer greater than 1.
Preferably, the first and second electrodes are formed of a metal,
the determining the distribution factors corresponding to the N load intervals by using the load duration includes:
calculating to obtain distribution coefficients corresponding to the N load intervals according to a first preset mathematical relation between the load duration and the distribution coefficients;
and calculating the distribution factor according to a second preset mathematical relation between the distribution coefficient and the distribution factor.
Preferably, the first and second electrodes are formed of a metal,
the first preset mathematical relationship between the load duration and the distribution coefficient is:
wherein k isiThe distribution coefficient corresponding to the ith load interval, i is a positive integer less than N, m is a positive integer less than or equal to i, j is a positive integer between m and N, Q1、Q2、Q3......QNIs N load intervals, N1、n2、n3......nNThe load duration time corresponding to the N load intervals.
Preferably, the second preset mathematical relationship between the distribution coefficient and the distribution factor is:
Preferably, the first and second electrodes are formed of a metal,
the obtaining of the load duration corresponding to each of the N load intervals includes:
counting load durations exceeding the boundary values of the N load intervals;
and subtracting the load duration of the boundary values of the N load intervals to obtain the corresponding load duration of each of the N load intervals.
Preferably, the first and second electrodes are formed of a metal,
after the determining the distribution factors corresponding to the N load intervals by using the load duration, the method further includes:
calculating the cost of the power transmission and distribution unit corresponding to the distribution factor according to the distribution factor and a third preset mathematical relation;
wherein the third preset mathematical relation is: c ═ a × γ; c is the capacity cost can be avoided by a power transmission and distribution unit; a is investment annuity of power transmission and distribution units; gamma is the partition factor.
In a second aspect, the present invention provides a power transmission and distribution unit avoidable cost distribution factor determination system, including:
the load interval sharing module is used for sharing the initial load and the highest load of the current power grid for switching off and limiting the power within a preset time period into N load intervals;
a load time acquisition module, configured to acquire load duration corresponding to each of the N load intervals;
the distribution factor determining module is used for determining distribution factors corresponding to the N load intervals by using the load duration;
wherein N is an integer greater than 1.
Preferably, the first and second electrodes are formed of a metal,
the load time acquisition module comprises:
a boundary value time acquisition unit for counting the load duration of the boundary value exceeding the N load intervals;
a load time calculation unit configured to subtract the load durations of the boundary values of the N load intervals to obtain corresponding load durations of the N load intervals: n is1、n2、n3......nN。
In a third aspect, the present invention provides a power transmission and distribution unit avoidable cost distribution factor determination computer device, including:
a memory for storing a computer program;
a processor for implementing the steps of the power transmission and distribution unit avoidable cost distribution factor determination method of the first aspect when executing the computer program.
In a fourth aspect, the present invention provides a computer-readable storage medium, having a computer program stored thereon, where the computer program, when executed by a processor, implements the steps of the power transmission and distribution unit avoidable cost distribution factor determination method of the first aspect.
The invention provides a method for determining an avoidable cost distribution factor of a power transmission and distribution unit, which comprises the following steps: dividing the initial load and the highest load of the current power grid for switching off and limiting the power in a preset time period into N load intervals; acquiring load duration corresponding to each of the N load intervals; determining distribution factors corresponding to the N load intervals by using the load duration; wherein N is an integer greater than 1. The invention adopts a mode of dividing the load in a preset time period, respectively counts and obtains the load duration of each interval, and determines the distribution factor corresponding to each load interval by using the load duration, thereby providing a different technical scheme for determining the distribution factor by using the temperature in the prior art, being beneficial to the perfection of a cost-benefit evaluation system of a demand side management project, and providing an accurate and comprehensive quantitative basis for the planning and the operation of a power grid.
The invention also provides a power transmission and distribution unit, which can avoid the cost distribution factor determination system, a computer device and a computer readable storage medium, and has the beneficial effects, and the details are not repeated herein.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a flowchart of a method for determining an avoidable cost distribution factor of a power transmission and distribution unit according to an embodiment of the present invention;
FIG. 2 is a schematic illustration of the annual load duration interval in one embodiment of the present invention;
FIG. 3 is a flowchart of a method for obtaining a load duration according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of a power transmission and distribution unit avoidable cost distribution factor determination system according to another embodiment of the present invention;
FIG. 5 is a block diagram of a load time acquisition module according to another embodiment of the present invention;
fig. 6 is a schematic structural diagram of a computer device according to yet another embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, fig. 1 is a flowchart illustrating a method for determining an avoidable cost distribution factor of a power transmission and distribution unit according to an embodiment of the present invention.
In a specific implementation manner of the present invention, an embodiment of the present invention provides a method for determining an avoidable cost distribution factor of a power transmission and distribution unit, including:
s11: dividing the initial load and the highest load of the current power grid for switching off and limiting the power in a preset time period into N load intervals;
in the embodiment of the invention, the initial load and the highest load limited by the current power grid switching-off in the preset time period are firstly acquired, and for the initial load, the initial load indicates that after the load of a user reaches the load value, the power grid cannot supply enough power or the power grid cannot bear and transmit so much power, so that certain loads need to be cut off, the real-time balance between the load side and the power generation and supply side is achieved, the integral instability of a power system is prevented, and the power quality is ensured. If the increment of the power transmission and distribution capacity of the power grid is related to the investment cost, the linear relationship can be simplified, namely the increment of the power transmission and distribution capacity of the power grid is more than the investment cost, the initial load and the highest load are divided into N load intervals, and the determination of the power transmission and distribution factor can be conveniently determined.
S12: acquiring load duration corresponding to each of the N load intervals;
referring to fig. 2, fig. 2 is a schematic diagram of an annual load duration interval according to an embodiment of the present invention.
After the initial load and the maximum load of a preset time period are equally divided, the load duration corresponding to each of the N load intervals may be obtained. For example, in one embodiment, the year load duration curve is formed by first selecting 3-5 typical load years and calculating the weighted average of the load for each hour.
Specifically, the point with the maximum load (i.e., point a in fig. 2) is found according to the annual load duration curve, and the maximum load P is determined5And its accumulated time t5. Initial load P of current power grid' switching off and limiting electricity0Over P0Is t0I.e., point B in fig. 1.
Referring to fig. 3, fig. 3 is a flowchart illustrating a method for acquiring a load duration according to an embodiment of the present invention.
There is provided a method of obtaining load durations for each of N load intervals, comprising:
s121: counting load durations exceeding the boundary values of the N load intervals;
s122: subtracting the load durations of the boundary values of the N load intervals to obtain the load durations corresponding to the N load intervals.
Specifically, taking the example shown in FIG. 2, P is shown in FIG. 20And P5The load between the two is divided into five equal parts, and the boundary value is P0、P1、P2、P3、P4And P5The integration times respectively corresponding to exceeding the boundary value are respectively t0、t1、t2、t3、t4And t5. Let n be1＝t0-t1，n2＝t1-t2，n3＝t2-t3，n4＝t3-t4， n5＝t4-t5. Thereby obtaining the load duration corresponding to each load interval.
S13: determining distribution factors corresponding to the N load intervals by using the load duration;
wherein N is an integer greater than 1.
Specifically, the distribution coefficients corresponding to the N load intervals may be obtained by calculation according to a first preset mathematical relationship between the load duration and the distribution coefficient; and calculating the distribution factor according to a second preset mathematical relation between the distribution coefficient and the distribution factor.
Wherein the first preset mathematical relationship between the load duration and the distribution coefficient is:
wherein k isiCorresponding to the ith load intervalCoefficient, i is a positive integer less than N, m is a positive integer less than or equal to i, j is a positive integer between m and N, Q1、Q2、Q3......QNIs N load intervals, N1、n2、n3......nNThe load duration time corresponding to the N load intervals.
Preferably, the second preset mathematical relationship between the distribution coefficient and the distribution factor is:
q
For example, for the case of dividing the power load into 5 intervals as shown in fig. 2, the following distribution coefficient table-table 1-can be obtained according to the above formula, the grid investment is increased step by step according to the load increment, and the distribution coefficient is determined according to table 1:
table 1 allocation coefficient table
Of course, N may be an integer greater than 1, such as 2, 3, 4, 6, 7, 8, etc.
Further, after the determining the distribution factors corresponding to the N load intervals by using the load duration, the method further includes:
calculating the cost of the power transmission and distribution unit corresponding to the distribution factor according to the distribution factor and a third preset mathematical relation; wherein the third preset mathematical relation is: c ═ a × γ; c is the capacity cost which can be avoided by the power transmission and distribution unit; a is investment annuity of power transmission and distribution units; gamma is the partition factor.
Generally, in a power grid with rich power transmission and distribution capacity, the cost required for increasing the transmission capacity of 1kw load is only a little more than the cost of power loss. In a power grid with saturated transmission and distribution capacity, new power transmission and transformation equipment is required to be built by increasing the transmission capacity of 1kw load. In order to keep the power transmission and distribution unit relatively stable and avoid the cost, the investment annuity of the power transmission and distribution unit can be calculated by adopting a marginal cost method. The power transmission and distribution system of the power grid is mainly built for coping with peak load, and the investment avoided in the peak time period and the valley time period of the power grid by implementing the demand side management measures is different, so that the investment annuity of the power transmission and distribution unit is necessarily distributed to each time period. Considering that the power transmission and distribution investment of the power grid is closely related to the load, the load size determines the investment, and the power grid company has detailed regional load data, the data is easy to obtain, so that the distribution factor is determined according to the load, and the annual fund of the power transmission and distribution equipment is distributed to each hour in the year. The power transmission and distribution unit avoidable cost expression is as follows:
C8p＝A×γ (1)
in the formula: c8pCapacity cost can be avoided for power transmission and distribution units; a is investment annuity of power transmission and distribution units; gamma is the distribution factor of power transmission and distribution.
Investment annuity of power transmission and distribution units:
A＝I×CR (2)
in the formula: i is the marginal cost of power transmission and distribution; cRIn order to obtain the coefficient of investment recovery,
t is the economic life of the device.
The marginal cost of power transmission and distribution is the average power transmission and distribution investment required by increasing unit power transmission and distribution capacity according to the ratio of the sum of power transmission and distribution investment in a certain period to the increased total power transmission and distribution capacity.
Given that the annual investment and annual transmission and distribution capacity increment in a certain area are known, it is shown in table 1.
TABLE 1 annual investment and transmission and distribution capacity of transmission and distribution project
Wherein, Δ PnIncreased power transmission and distribution capacity for the nth year: delta Pn＝Pn—Pn-1(n＝1,2,…，m)。
Calculating the power transmission and distribution marginal cost I according to the following formula:
in the formula: i isnInvestment for power transmission and distribution in the nth year; i is the discount rate; and m is the calculation age.
Substituting the above equations (2) and (3) into equation (1) can obtain the calculation formula of annual fund a for power transmission and distribution unit as follows:
thus, the distribution factor determined by the invention can be used for determining the power transmission and distribution unit, and the cost can be avoided.
The invention provides a method for determining a cost distribution factor capable of avoiding by a power transmission and distribution unit, which is characterized in that a load in a preset time period is divided into sections, the load duration of each section is respectively counted and obtained, and the distribution factor corresponding to each load section is determined by using the load duration, so that different technical schemes for determining the distribution factor by using temperature in the prior art are provided, the improvement of a cost benefit evaluation system of a demand side management project can be facilitated, and an accurate and comprehensive quantification basis is provided for the planning and operation of a power grid.
Referring to fig. 4 and 5, fig. 4 is a schematic diagram illustrating a power transmission and distribution unit avoidable cost allocation factor determination system according to another embodiment of the present invention; fig. 5 is a schematic diagram illustrating a load time obtaining module according to another embodiment of the present invention.
In another embodiment of the present invention, a power transmission and distribution unit avoidable cost distribution factor determination system 400 is provided, which includes:
the load interval sharing module 410 is configured to share an initial load and a highest load of the current power grid during the current power grid switching-off and power limiting within a preset time period into N load intervals;
a load time obtaining module 420, configured to obtain load durations corresponding to the N load intervals;
an allocation factor determining module 430, configured to determine allocation factors corresponding to the N load intervals by using the load duration;
wherein N is an integer greater than 1.
Preferably, the first and second electrodes are formed of a metal,
the load time obtaining module 420 includes:
a boundary value time obtaining unit 421, configured to count load durations exceeding the boundary values of the N load intervals;
a load time calculation unit 422, configured to subtract the load durations of the boundary values of the N load intervals to obtain corresponding load durations of the N load intervals: n is1、n2、n3......nN。
Referring to fig. 6, fig. 6 is a schematic structural diagram of a computer device according to another embodiment of the present invention.
In another embodiment of the present invention, a computer device includes:
a memory for storing a computer program;
a processor for implementing the steps of the power transmission and distribution unit avoidable cost distribution factor determination method according to any of the above embodiments when executing the computer program.
Reference is now made to FIG. 6, which illustrates a schematic block diagram of a computer device suitable for use in implementing embodiments of the present application. The computer device 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 application.
As shown in fig. 6, the computer system 600 includes a processor (CPU)601 which can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)602 or a program loaded from a storage section 608 into a Random Access Memory (RAM) 603. In the RAM603, various programs and data necessary for the operation of the system 600 are also stored.
The CPU 601, ROM 602, and RAM603 are connected to each other via a bus 604. An input/output (I/O) interface 603 is also connected to bus 604.
The following components are connected to the I/O interface 605: an input portion 606 including a keyboard, a mouse, and the like; an output portion 607 including a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker and the like; a storage section 608 including a hard disk and the like; and a communication section 609 including a network interface card such as a LAN card, a modem, or the like. The communication section 609 performs communication processing via a network such as the internet. The driver 610 is also connected to the I/O interface 607 as necessary. A removable medium 611 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 610 as necessary, so that a computer program read out therefrom is mounted in the storage section 608 as necessary.
In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, 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 by the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 609, and/or installed from the removable medium 611. The computer program, when executed by the processor (CPU)601, performs the above-described functions defined in the method of the present application. It should be noted that the computer readable medium described herein can be a computer readable signal medium or a computer readable medium or any combination of the two. A computer readable 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 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 the present application, a computer readable 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 this application, 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 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: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present application may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like 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 application. 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.
As another specific embodiment of the present invention, an embodiment of the present invention provides a computer readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the power transmission and distribution unit avoidable cost distribution factor determination method in any of the above specific embodiments.
The computer-readable medium may be contained in the computer or the terminal device described in the above embodiments; or may exist separately and not be incorporated into the computer device. The computer readable medium carries one or more programs which, when executed by the computing device, cause the computing device to: dividing the initial load and the highest load of the current power grid for switching off and limiting the power in a preset time period into N load intervals; acquiring load duration corresponding to each of the N load intervals; determining distribution factors corresponding to the N load intervals by using the load duration; wherein N is an integer greater than 1. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The method for determining the cost distribution avoiding factor of the power transmission and distribution unit and the related products are introduced in detail, a specific example is applied in the text to explain the principle and the implementation mode of the invention, and the description of the embodiment is only used for helping to understand the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (7)
1. A method for determining an avoidable cost distribution factor of a power transmission and distribution unit is characterized by comprising the following steps:
dividing the initial load and the highest load of the current power grid for switching off and limiting the power in a preset time period into N load intervals;
acquiring load duration corresponding to each of the N load intervals;
determining distribution factors corresponding to the N load intervals by using the load duration;
wherein N is an integer greater than 1;
the determining the distribution factors corresponding to the N load intervals by using the load duration includes:
calculating to obtain distribution coefficients corresponding to the N load intervals according to a first preset mathematical relation between the load duration and the distribution coefficients;
calculating the distribution factor according to a second preset mathematical relation between the distribution coefficient and the distribution factor;
the first preset mathematical relationship between the load duration and the distribution coefficient is:
wherein k isiThe distribution coefficient corresponding to the ith load interval, i is a positive integer less than N, m is a positive integer less than or equal to i, j is a positive integer between m and N, Q1、Q2、Q3......QNIs N load intervals, N1、n2、n3......nNLoad duration time corresponding to the N load intervals;
the second preset mathematical relationship between the distribution coefficient and the distribution factor is as follows:
2. The power transmission and distribution unit avoidable cost distribution factor determination method according to claim 1,
the obtaining of the load duration corresponding to each of the N load intervals includes:
counting load durations exceeding the boundary values of the N load intervals;
and subtracting the load duration of the boundary values of the N load intervals to obtain the corresponding load duration of each of the N load intervals.
3. The power transmission and distribution unit avoidable cost distribution factor determination method according to any one of claims 1 to 2,
after the determining the distribution factors corresponding to the N load intervals by using the load duration, the method further includes:
calculating the cost of the power transmission and distribution unit corresponding to the distribution factor according to the distribution factor and a third preset mathematical relation;
wherein the third preset mathematical relation is: c ═ a × γi(ii) a C is the capacity cost which can be avoided by the power transmission and distribution unit; a is investment annuity of power transmission and distribution units; gamma rayiIs an allocation factor.
4. A power transmission and distribution unit avoidable cost distribution factor determination system, comprising:
the load interval sharing module is used for sharing the initial load and the highest load of the current power grid for switching off and limiting the power within a preset time period into N load intervals;
a load time acquisition module, configured to acquire load duration corresponding to each of the N load intervals;
the distribution factor determining module is used for determining distribution factors corresponding to the N load intervals by using the load duration;
wherein N is an integer greater than 1;
the distribution factor determining module is specifically configured to calculate, according to a first preset mathematical relationship between the load duration and a distribution coefficient, distribution coefficients corresponding to the N load intervals; calculating the distribution factor according to a second preset mathematical relation between the distribution coefficient and the distribution factor;
the first preset mathematical relationship between the load duration and the distribution coefficient is:
wherein k isiThe distribution coefficient corresponding to the ith load interval, i is a positive integer less than N, m is a positive integer less than or equal to i, j is a positive integer between m and N, Q1、Q2、Q3......QNIs N load intervals, N1、n2、n3......nNLoad duration time corresponding to the N load intervals;
the second preset mathematical relationship between the distribution coefficient and the distribution factor is as follows:
5. The power transmission and distribution unit avoidable cost distribution factor determination system of claim 4,
the load time acquisition module comprises:
a boundary value time acquisition unit for counting the load duration of the boundary value exceeding the N load intervals;
a load time calculation unit configured to subtract the load durations of the boundary values of the N load intervals to obtain corresponding load durations of the N load intervals: n is1、n2、n3……nN。
6. A power transmission and distribution unit avoidable cost distribution factor determination computer apparatus, comprising:
a memory for storing a computer program;
a processor for implementing the steps of the power transmission and distribution unit avoidable cost distribution factor determination method of any of claims 1 to 3 when executing the computer program.
7. A computer-readable storage medium, having stored thereon a computer program which, when executed by a processor, carries out the steps of the power transmission and distribution unit avoidable cost distribution factor determination method according to any one of claims 1 to 3.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811243049.4A CN109377051B (en) | 2018-10-24 | 2018-10-24 | Method for determining avoidable cost distribution factor of power transmission and distribution unit and related product |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811243049.4A CN109377051B (en) | 2018-10-24 | 2018-10-24 | Method for determining avoidable cost distribution factor of power transmission and distribution unit and related product |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109377051A CN109377051A (en) | 2019-02-22 |
| CN109377051B true CN109377051B (en) | 2022-04-29 |
Family
ID=65401198
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811243049.4A Active CN109377051B (en) | 2018-10-24 | 2018-10-24 | Method for determining avoidable cost distribution factor of power transmission and distribution unit and related product |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109377051B (en) |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111754090A (en) * | 2020-06-08 | 2020-10-09 | 深圳供电局有限公司 | Power consumer demand side regulation and control method based on big data |
| CN112487612A (en) * | 2020-11-12 | 2021-03-12 | 云南电网有限责任公司 | Bus load combination prediction method and system based on distribution factor and information entropy |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9412082B2 (en) * | 2009-12-23 | 2016-08-09 | General Electric Company | Method and system for demand response management in a network |
| CN107038510A (en) * | 2015-07-30 | 2017-08-11 | 南京理工大学 | It is a kind of that capacity allocation method is responded based on the commercial building that demand response implementation result is assessed |
| CN106779293A (en) * | 2016-11-18 | 2017-05-31 | 东南大学 | A kind of computational methods of grid company dsm project avoidable cost |
-
2018
- 2018-10-24 CN CN201811243049.4A patent/CN109377051B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111754090A (en) * | 2020-06-08 | 2020-10-09 | 深圳供电局有限公司 | Power consumer demand side regulation and control method based on big data |
| CN112487612A (en) * | 2020-11-12 | 2021-03-12 | 云南电网有限责任公司 | Bus load combination prediction method and system based on distribution factor and information entropy |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109377051A (en) | 2019-02-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111552923B (en) | Load prediction method and load prediction system based on universal distribution | |
| CN109697522B (en) | Data prediction method and device | |
| US10559044B2 (en) | Identification of peak days | |
| CN112070301A (en) | Method, system and equipment for adjusting power consumption of user | |
| CN103729796A (en) | Method and system for sample survey | |
| CN113743667A (en) | Method, device, equipment and storage medium for predicting power consumption of transformer area | |
| Fisher et al. | A Simple Metric for Predicting Revenue from Electric Peak‐Shaving and Optimal Battery Sizing | |
| CN109377051B (en) | Method for determining avoidable cost distribution factor of power transmission and distribution unit and related product | |
| KR20130044765A (en) | Appratus and method for estimation of weekly power load to improve processing time using neural network and revision factor | |
| CN108830663B (en) | Electric power customer value evaluation method and system and terminal equipment | |
| CN115882451A (en) | Method, device and equipment for predicting generated power of new energy power station | |
| CN111144634A (en) | Method and device for predicting power price | |
| CN110610758A (en) | Method, device and equipment for dynamically allocating medical cost of department | |
| CN115759436A (en) | User electric quantity and electricity charge prediction method and system under power grid big data | |
| CN110443460B (en) | Artificial intelligent analysis method and device for heat exchange quantity of heat exchange station based on weather and community heat loss | |
| CN115473216A (en) | Method and system for improving line loss calculation of power grid | |
| CN113988473A (en) | Method, system, device and storage medium for configuring energy in region | |
| CN112381436A (en) | Time-by-time electrical load generation method, device, electronic equipment and storage medium | |
| JP2021131627A (en) | DR activation prediction system | |
| CN117575175B (en) | Carbon emission evaluation method, device, electronic equipment and storage medium | |
| CN113538026B (en) | Service amount calculation method and device | |
| CN115577980B (en) | Power equipment regulation and control method and device, electronic equipment and medium | |
| CN110298742B (en) | Data processing method and device | |
| CN115907823A (en) | Large-industry user basic electricity charge optimization aid decision-making method and related products | |
| CN115409447A (en) | Metering material management method, device, equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |