CN112508402B - DC power transmission curve scene generation method, electronic equipment and medium - Google Patents

DC power transmission curve scene generation method, electronic equipment and medium Download PDF

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Publication number
CN112508402B
CN112508402B CN202011416915.2A CN202011416915A CN112508402B CN 112508402 B CN112508402 B CN 112508402B CN 202011416915 A CN202011416915 A CN 202011416915A CN 112508402 B CN112508402 B CN 112508402B
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power transmission
direct current
daily
transmission curve
current system
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CN112508402A (en
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王莹
娄素华
吴耀武
张园欣
周友斌
周鲲鹏
曹侃
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Huazhong University of Science and Technology
Electric Power Research Institute of State Grid Hubei Electric Power Co Ltd
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Huazhong University of Science and Technology
Electric Power Research Institute of State Grid Hubei Electric Power Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06312Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06313Resource planning in a project environment
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06Electricity, gas or water supply
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/60Arrangements for transfer of electric power between AC networks or generators via a high voltage DC link [HVCD]

Abstract

The embodiment of the invention provides a direct current power transmission curve scene generation method, electronic equipment and a medium. The method comprises the following steps: acquiring original data in a target time period of a daily load curve of a receiving end region and a daily power transmission curve of a direct current system; based on the obtained daily load curve of the receiving end region and the daily power transmission curve of the direct current system, researching the operation characteristics of the daily power transmission curve of the direct current system; and generating a direct current power transmission scene based on the investigation result and calculating probability distribution of the direct current power transmission scene. The method fits the general characteristics and the random characteristics of the power transmission of the direct current system to the greatest extent in fewer scenes, provides simple and accurate direct current power transmission curve input boundary conditions for arranging the transmission power of the direct current output system and the output of the conventional energy source in the daily scheduling plan, and has strong calculation practicability and application universality.

Description

DC power transmission curve scene generation method, electronic equipment and medium
Technical Field
The invention relates to the technical field of direct-current power transmission, in particular to a direct-current power transmission curve scene generation method.
Background
The energy resources and the load demands of China are reversely distributed. The western region, especially the northwest region, has rich coal and wind and light resources, but the local power grid has limited load level, and a large amount of surplus power is generated. In contrast, the middle east, especially coastal areas, is relatively developed economically, but the local power supply is relatively inadequate.
In order to solve the problem of misplacement of power energy supply and load demand space, promote western economic development, alleviate the shortage of power supply in the middle eastern part, our country is greatly developing a long-distance large-capacity ultra-high voltage direct current transmission technology and a flexible direct current transmission technology, and converts rich coal, wind energy and solar energy resources in the western part, especially in the northwest region, into electric energy in a wind-light-fire combined bundling and outward transmission mode, and transmits the electric energy to a middle eastern part load center in a long-distance manner in a cross-region manner.
However, from the running condition of the direct current transmission system in China, the application of the large-scale direct current transmission system can meet the requirements of energy source output in the transmitting end region and load increase in the receiving end region. However, at the same time, because the matched power supply of the direct current system at the transmitting end comprises a large amount of random and uncontrollable new energy, and the adjusting capability of the power grid at the receiving end is relatively limited, the contradiction between the direct current power consumption and the peak regulation of the power grid at the receiving end is generated, thereby being unfavorable for optimizing and adjusting the transmission power in the dispatching plan of the direct current power transmission system and influencing the planning, construction and operation of the power system at the receiving end.
Disclosure of Invention
Aiming at the problems in the prior art, the embodiment of the invention provides a direct current power transmission curve scene generation method which is used for solving the defect that the contradiction exists between the direct current power consumption and the peak regulation of a receiving end power grid in the prior art, and realizing flexible adjustment of a direct current delivery plan so as to optimize the delivery power and maximally eliminate the output of new energy.
Specifically, the embodiment of the invention provides the following technical scheme:
in a first aspect, an embodiment of the present invention provides a method for generating a dc power transmission curve scene, including: acquiring original data in a target time period of a daily load curve of a receiving end region and a daily power transmission curve of a direct current system; based on the obtained daily load curve of the receiving end region and the daily power transmission curve of the direct current system, researching the operation characteristics of the daily power transmission curve of the direct current system; and generating a direct current power transmission curve scene based on the investigation result and calculating probability distribution of the direct current power transmission curve scene.
Further, generating the dc power transmission curve scene based on the investigation result includes: and primarily dividing the daily power transmission curve of the direct current system based on whether the daily power transmission curve of the direct current system has power flow inversion in the day.
Further, performing primary division on the daily power transmission curve of the direct current system based on the judgment result includes: judging whether the daily power transmission curve of the direct current system has power flow reversal in the day or not; dividing the daily power transmission curve of the direct current system into a first scene when the daily power transmission curve of the direct current system is subjected to power flow inversion in the day; and when the daily power transmission curve of the direct current system does not generate power flow reversal in the day, performing secondary division on the daily power transmission curve of the direct current system.
Further, performing secondary division on the daily power transmission curve of the direct current system includes: performing first judgment based on the daily power transmission quantity of the daily power transmission curve of the direct current system; performing second judgment based on the adjustment times of the daily power transmission curve of the direct current system; performing third judgment based on the matching degree of the daily power transmission curve of the direct current system and the daily load curve of the receiving end region; and dividing the daily power transmission curve of the direct current system based on the judging results of the first judging, the second judging and the third judging.
Further, the first determination based on the daily power transmission amount of the daily power transmission curve of the direct current system includes: calculating the daily power transmission quantity of the daily power transmission curve of the direct current system; comparing the daily power transmission quantity of the daily power transmission curve of the direct current system with a threshold daily power transmission quantity; and judging the solar power transmission curve of the direct current system as a first type solar power transmission quantity and a second type solar power transmission quantity based on the comparison result.
Further, performing the second determination based on the number of times of adjustment of the daily power transmission curve of the direct current system includes: calculating the adjustment times of the daily power transmission curve of the direct current system; comparing the adjustment times of the daily power transmission curve of the direct current system with threshold adjustment times; and judging the daily power transmission curve of the direct current system as a first type of adjustment and a second type of adjustment based on the comparison result.
Further, performing a third determination based on a matching degree of the dc system daily power transmission curve and the receiving-end region daily load curve includes: calculating the matching degree of the daily power transmission curve of the direct current system and the daily load curve of the receiving end region; comparing the matching degree with a threshold matching degree; and judging the solar power transmission curve of the direct current system as a first type matching degree and a second type matching degree based on the comparison result.
Further, dividing the direct current system daily power transmission curve based on the determination results of the first determination, the second determination, and the third determination includes: dividing the daily power transmission curve of the direct current system into: the second scenario: first type daily power output-first type adjustment-first type matching degree; third scenario: first type daily power output-first type adjustment-second type matching degree; fourth scenario: first type daily power output-second type adjustment-first type matching degree; fifth scenario: first type daily power transmission-second type adjustment-second type matching degree; sixth scenario: second type daily power output-first type adjustment-first type matching degree; seventh scenario: second type daily power output-first type adjustment-second type matching degree; eighth scenario: second type daily power output-second type adjustment-first type matching degree; ninth scenario: second type daily power output-second type adjustment-second type matching degree.
Further, calculating the probability distribution of the direct current power transmission curve scene includes: the probability of each direct current power transmission curve scene is calculated by dividing the number of the direct current power transmission curve scenes in a target period by the number of days in the target period.
Further, the method for generating the scene of the direct current power transmission curve provided by the invention further comprises the following steps: clustering the generated direct current power transmission curve scenes based on a scene reduction method; and correcting the clustered direct current power transmission curve scene by taking the average power transmission power between adjacent effective adjustment moments of the direct current system daily power transmission curve as the power transmission power of the time period between the adjacent effective adjustment moments.
In a second aspect, the present invention provides an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the dc power delivery profile scene generation method as described above when the program is executed.
In a third aspect, the present invention provides a non-transitory computer readable storage medium having stored thereon a computer program, characterized in that the computer program, when executed by a processor, implements the steps of the dc power delivery curve scene generating method as described above.
In a fourth aspect, the present invention provides a computer program product comprising a computer program, characterized in that the computer program, when executed by a processor, implements the steps of the dc power transmission curve scene generating method as described above.
According to the direct current power transmission curve scene generation method, the operation characteristics of the daily power transmission curve of the direct current system are analyzed through investigation, and the direct current power transmission scene is constructed and generated based on the operation characteristics of the power transmission curve of the direct current system and based on the probability distribution of the direct current power transmission scene. The method is characterized in that the operational characteristics of a matched power supply of the direct current external transmission system at the transmitting end, the operational constraint of the direct current external transmission system, the relevant factors of the receiving end adaptation capability and the like affecting the daily power transmission curve of the direct current system are considered, diversified daily power transmission curve scenes of the direct current system and probability distribution of the daily power transmission curve are established, the general characteristics and random characteristics of the power transmission of the direct current system are fitted to the greatest extent in fewer scenes, simple and accurate direct current power transmission curve input boundary conditions are provided for arranging the transmission power of the direct current external transmission system and the output of conventional energy sources in a daily scheduling plan, and the method has strong calculation practicability and application universality.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions of the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a dc power transmission curve scene generating method according to an embodiment of the present invention;
fig. 2 is a flowchart of a dc power transmission curve scene generating method according to another embodiment of the present invention;
FIG. 3 is a flow chart of primary partitioning according to an embodiment of the present invention;
FIG. 4 is a flow chart of a subdivision scheme provided by an embodiment of the present invention;
FIG. 5 is a flowchart illustrating a first determination according to an embodiment of the present invention;
FIG. 6 is a flowchart of a second determination according to an embodiment of the present invention;
FIG. 7 is a flowchart illustrating a third determination according to an embodiment of the present invention;
fig. 8 is a flowchart of an exemplary embodiment of a dc power transmission curve scene generating method according to an embodiment of the present invention;
fig. 9 is a annual probability distribution of various scenes generated by a dc power transmission curve scene generating method according to an embodiment of the present invention;
Fig. 10 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
When the direct current external power of the existing direct current transmission system is transmitted according to a preset curve, most of the direct current external power is transmitted together with the bundling of the thermal power, and the direct current transmission curve presents diversified characteristics due to the randomness and fluctuation characteristics of the new energy power supply at the transmitting end and the self-operation characteristics of the direct current system. The operation characteristics of the direct current power transmission curve are not researched, and the time sequence characteristics of the operation of the direct current power transmission system are fully considered, so that uncertainty of renewable energy output of a transmitting end cannot be fully considered when a direct current power transmission day-ahead scheduling plan is made, the transmission power in the direct current power transmission system scheduling plan is optimally adjusted, and adverse effects are caused when new energy output is absorbed to the maximum extent.
Therefore, the system output power and the conventional energy output in the day-ahead scheduling are optimized, new energy consumption is promoted, and a scene of a direct current power transmission curve needs to be constructed on the basis of retaining the characteristics of the direct current power transmission curve. Aiming at the fields of peak regulation of a receiving end power grid and daily scheduling of direct current power transmission, based on the output characteristics of a controllable and uncontrollable matched power supply of a direct current external transmission system and the trans-regional trans-electricity-saving transaction result, the method for constructing the diversified scene of the direct current power transmission curve is researched, the method can provide input scene support for effectively analyzing the influence of different running modes of the direct current external transmission system on the peak regulation running of the receiving end power grid and the new energy consumption, and has important help and significance for researching and considering the planning, construction and running of the receiving end power system of the direct current power supply outside a region. Therefore, the present invention provides a method for generating a scene of a dc power transmission curve, and details of the present invention will be explained and illustrated by specific embodiments.
Fig. 1 shows a flowchart of a dc power transmission curve scene generation method according to an embodiment of the present invention. As shown in fig. 1, the method for generating a dc power transmission curve scene provided by the embodiment of the invention includes the following steps:
step 101: acquiring original data in a target time period of a daily load curve of a receiving end region and a daily power transmission curve of a direct current system;
Step 102: based on the obtained daily load curve of the receiving end region and the daily power transmission curve of the direct current system, researching the operation characteristics of the daily power transmission curve of the direct current system; and
step 103: and generating a scene of the daily power transmission curve of the direct current system based on the investigation result and calculating probability distribution of the scene.
In the present embodiment, the dc power transmission curve scene generating method provided in the present embodiment is based on the daily load curve of the receiving terminal area and the daily power transmission curve of the dc system, but the present invention is not limited thereto, and the receiving terminal area load curve and the dc system power transmission curve of other time units may be selected as required.
In step 101, raw data of different target time periods may be acquired according to the target time periods. The research target time period of the direct current power transmission curve scene generation method provided by the embodiment can be month, season, year and the like. For example, according to one embodiment, annual raw data of a receiver region daily load curve and a direct current system daily power delivery curve may be obtained.
In step 102, based on the obtained daily load curve of the receiving terminal area and the daily power transmission curve of the dc system, the operation characteristics of the daily power transmission curve of the dc system including the transmission power, the daily power transmission amount, the adjustment times, the matching degree with the daily load curve of the receiving terminal area, and the like may be studied. However, the present invention is not limited thereto, and other operation characteristics of the daily power transmission curve of the dc system may be selectively studied as needed. The difference in the operation characteristics of the daily power transmission curve of the dc system may lead to the generation of different scenes.
In step 103, a scenario of the dc system daily power transmission curve may be generated based on the result of the investigation of the operation characteristics of the dc system daily power transmission curve and a probability distribution of the scenario may be calculated. As described above, a scenario relating to the operational characteristics of the dc system daily power transmission curve, the daily power transmission amount, the number of times of adjustment, the degree of matching with the receiving-end region daily load curve, and the like can be generated based on the result of investigation of the operational characteristics of the dc system daily power transmission curve, including the power transmission amount, the daily power transmission amount, the number of times of adjustment, the degree of matching with the receiving-end region daily load curve, and the like. Accordingly, probability distributions for the respective scenes are calculated. The probability distribution of the scene is based on the probability of the target period. Therefore, the probability distribution calculation of the scene will be correspondingly different based on the difference in the target period selected in step 101. For example, as described above, in the case of acquiring annual raw data of the receiving-end region daily load curve and the direct current system daily power transmission curve, the probability distribution of the generated scene throughout the year can be calculated.
According to one embodiment, generating the dc power transmission scenario based on the investigation result in step 103 may include determining whether the dc system daily power transmission continuation flag is reversed in power flow within a day and primarily dividing the dc system daily power transmission curve based on the determination result regarding whether the power flow reversal is occurred. A specific exemplary embodiment of the primary partitioning is shown in fig. 3 and described in detail below.
In the present embodiment, since the daily load curve in the receiving end region and the daily power transmission curve in the dc system are greatly affected by seasons, the dc power transmission curve scene generating method provided in the embodiment of the present invention may be executed for different seasons.
Fig. 2 is a flowchart illustrating a dc power transmission curve scene generating method according to another embodiment of the present invention. As shown in fig. 2, the method for generating a dc power transmission curve scene provided by the embodiment of the invention includes:
step 201: acquiring original data in a target time period of a daily load curve of a receiving end region and a daily power transmission curve of a direct current system;
step 202: based on the obtained daily load curve of the receiving end region and the daily power transmission curve of the direct current system, researching the operation characteristics of the daily power transmission curve of the direct current system;
step 203: generating a scene of the daily power transmission curve of the direct current system based on the research result and calculating probability distribution of the scene;
step 204: performing scene clustering on the generated scenes based on a scene reduction method; and
step 205: and correcting the clustered scene by taking the average power transmission power between adjacent effective adjustment moments of the daily power transmission curve of the direct current system as the power transmission power of the time period between the adjacent effective adjustment moments.
In this embodiment, the steps 201, 202 and 203 are the same as the steps 101, 102 and 103 in fig. 1, and will not be described again.
In step 204, the scenes of the dc system daily power curve generated in step 203 may be cut and clustered based on the forward method of Kantorovich Distance (KD) distance. The forward method based on Kantorovich Distance (KD) distance is an optimization process, and through repeated iterative computation, the scene with the smallest KD distance with other scenes is selected from the original scene set Ω, and then is put into the new scene set Ω'. The KD distance of the original scene set Ω and the new scene set Ω' is defined as follows:
wherein s is the scene in the original scene set Ω; s 'is the scene in the new scene set Ω'; p is p s The probability of scene s in scene set Ω; p is p s′ The probability of scene s 'being in scene set Ω'; c (s, s') is a non-negative, continuous, symmetrical distance function; η (s, s ') is the probability product of the scenes s and s'.
The method for reducing the scene of the forward power transmission curve based on the KD distance comprises the following steps of:
1) Calculate each type Ω m The initial probability of each direct current power transmission curve scene is calculated as follows:
Wherein P is md The initial probability of a direct current power transmission curve scene is obtained; n (N) m For each type Ω m In the total number of scenes.
2) The following conditions are satisfied by eliminationIs to determine each type Ω m The scene that needs to be cut down:
wherein omega ms' 、ω md Is of the wave type omega m A direct current power transmission curve scene in (a); p is p md 、p ms' Respectively direct current power transmission curve scene omega md 、ω ms' Probability of c (ω) ms'md ) Is the distance between the DC power transmission curves.
3) By combining each type omega m Subtracting 1 from the total number of scenes in (a) to change each type Ω m The total number of scenes in (a); and screening out the scene omega between each type and the cut scene omega ms' Scene omega closest to ms I.e.
4) Changing and culling scene omega ms' Scene omega closest to ms To ensure that the probability sum of all remaining scenes is constant, i.e
p ms =p ms +p ms'
5) Iterative computation is circulated until the number of remaining scenes meets the set target number K of scenes m Until the request of (3).
Each type Ω m The rest of the DC power transmission scenes are various representative scenes, namely the DC power transmission scenes, and the corresponding probability is p md
In step 205, the correction of the dc power transmission scene after the reduction and clustering in step 204 may be as follows:
1) And identifying the effective adjustment time of the direct current power transmission scene.
When the difference value of the transmission power between a certain moment and the adjacent moment of the direct current transmission scene curve is more than or equal to a preset value, the moment is recorded as an effective adjustment moment t n The predetermined value may be a nominal power transmission difference,
that is, when ΔP is satisfied d (t)=P d (t+1)-P d (t)≥ΔP r The time t is recorded as the time t of effective adjustment n
Wherein DeltaP d (t) is the difference between the transmission power at time t and the adjacent time t+1, P d (t+1) is the transmission power at time t+1, P d (t) is the transmission power at time t, ΔP r Is rated power transmission difference.
2) And calculating an average value of the power transmission power of the direct current power transmission scene curve between adjacent effective adjustment moments, and taking the average value as the power transmission power value of the direct current power transmission scene curve of the time period between the adjacent effective adjustment moments. The specific formula is as follows:
wherein P is d And (t') is the transmission power of the direct current transmission scene curve of the period between adjacent effective adjustment moments.
FIG. 3 shows a flow chart of primary partitioning provided by an embodiment of the present invention. As shown in fig. 3, a flowchart of primary partitioning according to an embodiment of the present invention includes:
step 301: judging whether the daily power transmission curve of the direct current system has power flow reversal in the day;
step 302: dividing a daily power transmission curve of the direct current system into a first scene when the daily power transmission curve of the direct current system is subjected to power flow inversion in the day; and
Step 303: and when the daily power transmission curve of the direct current system does not generate the power flow reversal in the day, carrying out secondary division on the daily power transmission curve of the direct current system.
Determining whether the current system daily power transfer curve is reversed during the day in step 301 includes determining whether P is satisfied for different seasons s,d (t) < 0, wherein P s,d And (t) is the transmission power of a d-day t-time direct current system daily transmission curve in s-season, t=1, 2. When meeting P s,d When (t) is less than 0, the daily power transmission curve of the direct current system is subjected to power flow inversion in the day; when not meeting P s,d When (t) < 0, the daily power transmission curve of the direct current system does not generate power flow reversal in the day.
In step 302, when the daily power transmission curve of the DC system is reversed in power flow within the day, that is, P is satisfied s,d And (t) < 0, dividing the daily power transmission curve of the direct current system into a first scene. According to one embodiment, the first scenario may be named "flow inversion occurred" type. The invention is not limited in this regard and the first scenario may be named according to other rules.
In step 303, when the power transmission curve of the DC system does not have power flow reversal in the day, i.e. P is not satisfied s,d And (t) < 0, sub-dividing the daily power transmission curve of the direct current system. For example, the secondary division may be performed based on the operational characteristics such as the daily power transmission amount, the number of adjustments, and the degree of matching with the daily load curve in the receiving-end region of the dc system daily power transmission curve.
FIG. 4 illustrates a flow chart of a subdivision provided by an embodiment of the present invention. As shown in fig. 4, a flow chart of sub-division provided by an embodiment of the present invention includes:
step 401: carrying out first judgment based on the daily power transmission quantity of a daily power transmission curve of the direct current system;
step 402: performing second judgment based on the adjustment times of the daily power transmission curve of the direct current system; and/or
Step 403: third judgment is carried out based on matching degree of solar power transmission curve of direct current system and solar load curve of receiving end region
Step 404: dividing the daily power transmission curve of the direct current system based on the judging results of the first judgment, the second judgment and the third judgment.
In this embodiment, it should be noted that, the flow chart of the subdivision provided in an embodiment of the present invention may include at least one of, or any or all of, the combination of the steps 401, 402 and 403. And the order in steps 401, 402 and 403 is not limited to the order shown in fig. 4, but may be selectively adjusted as needed. As described above, the sub-division provided by an embodiment of the present invention may include other additional steps in selectively investigating other operating characteristics of the daily power curve of the DC system as desired.
Fig. 5 is a flowchart illustrating a first determination according to an embodiment of the present invention. Fig. 6 is a flowchart illustrating a second determination provided by an embodiment of the present invention. Fig. 7 is a flowchart illustrating a third determination according to an embodiment of the present invention. Specific exemplary embodiments of the first judgment, the second judgment, and the third judgment, which are the same as those of the embodiment of the present invention, are described in detail below with reference to fig. 5 to 7.
As shown in fig. 5, a flowchart of a first determination provided in an embodiment of the present invention includes:
step 501: calculating the daily power transmission quantity of a daily power transmission curve of the direct current system;
step 502: comparing the daily power transmission quantity of the daily power transmission curve of the direct current system with a threshold daily power transmission quantity; and
step 503: and judging the daily power transmission curve of the direct current system as the first type daily power transmission quantity and the second type daily power transmission quantity based on the comparison result. Specifically, when the daily power transmission quantity of the daily power transmission curve of the direct current system is larger than or equal to the threshold daily power transmission quantity, judging the daily power transmission curve of the direct current system as the first type daily power transmission quantity; and when the daily power transmission quantity of the daily power transmission curve of the direct current system is smaller than the threshold daily power transmission quantity, judging the daily power transmission curve of the direct current system as the second type daily power transmission quantity.
In step 501, the daily power transmission amount of the daily power transmission curve of the dc system is calculated by accumulating the power transmission power of the daily power transmission curve of the dc system at 24 times in the day, and the formula is as follows:
Wherein Q is s,d The power transmission quantity is the daily power transmission quantity of a daily power transmission curve of the d-day DC system in s seasons; p (P) s,d (t) the power transmission power of the power transmission curve of the DC system at the time d-day and t-time in s-season;t=1,2,...,24。
As described above, since the receiving-end region daily load curve and the dc system daily power transmission curve are greatly affected by seasons, they are executed for different seasons. The present invention is not limited thereto and execution of seasons may not be distinguished.
In step 502, the daily power output of the daily power transmission curve of the direct current system is compared with a threshold daily power output, wherein the threshold daily power output can be the threshold utilization of the product of the rated output power of the direct current system and the period number of the daily period. In this embodiment, the number of time periods in the daily cycle may be 24 based on one hour as a time period unit. And according to one embodiment, the threshold utilization may be 50%. Therefore, the comparison between the daily power transmission amount of the daily power transmission curve of the direct current system and the threshold daily power transmission amount can be used for judging whether the daily power transmission amount meets the following conditions:
Q s,d ≥P r ·T/2
wherein P is r Rated power of the direct current system; t is the number of time periods of the daily cycle, and in the case where one hour is a time period unit, T is 24.
In step 503, determining the dc system daily power transmission curve as the first type daily power transmission amount and the second type daily power transmission amount based on the comparison result includes: when the daily power transmission quantity of the daily power transmission curve of the direct current system is larger than or equal to the threshold value, namely, the daily power transmission quantity meets the requirement of Q s,d ≥P r At the time of T/2, judging the daily power transmission curve of the direct current system as the first type of daily power transmission quantity; when the daily power transmission curve of the direct current system is smaller than the threshold daily power transmission, namely the Q is not satisfied s,d ≥P r And at the time of T/2, judging the daily power transmission curve of the direct current system as the second type of daily power transmission quantity. Specifically, the first type of daily power transfer may be named as a "higher daily power transfer" type, and the second type of daily power transfer may be named as a "lower daily power transfer" type. The invention is not limited in this regard and other designations may be used as desired.
As shown in fig. 6, a flowchart of a second determination provided in an embodiment of the present invention includes:
step 601: calculating the adjustment times of a daily power transmission curve of the direct current system;
step 602: comparing the adjustment times of the daily power transmission curve of the direct current system with the threshold adjustment times; and
step 603: and judging the daily power transmission curve of the direct current system as a first type of regulation and a second type of regulation based on the comparison result. Specifically, when the adjustment times of the daily power transmission curve of the direct current system are greater than or equal to the threshold adjustment times, judging the daily power transmission curve of the direct current system as a first type of adjustment; and when the adjustment times of the daily power transmission curve of the direct current system are smaller than the threshold adjustment times, judging the daily power transmission curve of the direct current system as the second type of adjustment.
In step 601, calculating the number of times of adjustment of the daily power transmission curve of the direct current system includes:
1) Judging whether each moment of the direct current system is regulated or not based on the transmission power difference between the moment and the adjacent previous moment, and judging that the direct current system is regulated when the transmission power difference between the moment and the adjacent previous moment is larger than the minimum upward and minimum downward transmission power variation amplitude; when the power transmission power difference between the moment and the adjacent previous moment is smaller than or equal to the minimum upward and minimum downward power transmission power variation amplitude, judging that the direct current system is not regulated, wherein a judging formula is as follows:
wherein,for a regulating variable indicating whether the DC system is regulated at time d-day t of s-season,/->Indicating that the DC system has a significant operating power regulation in s season d-day t,/day>Indicating that no significant operating power regulation of the DC system occurs during the s-season d-day t;P s,d (t) is the power transmission power of a power transmission curve of a direct current system at the time d day t in the s season; p (P) s,d (t-1) is the power transmission power of a daily power transmission curve of the direct current system at the time of d days t-1 in s seasons; r is (r) reg,up 、r reg,dw Representing the minimum upward and minimum downward transmission power variation amplitude of the obvious operation power adjustment of the direct current system.
2) The adjustment times of the daily power transmission curve of the direct current system are calculated by accumulating the adjustment variables at all times in the day, and the specific formula is as follows:
Wherein,the adjustment times for obviously adjusting the running power of the direct current system in the s season d day; />A regulating variable for indicating whether the direct current system is regulated at the time of d days t of s seasons; t is the number of time periods of the daily cycle, and in the case where one hour is a time period unit, T is 24.
The number of adjustments of the dc system daily power delivery curve is compared with a threshold adjustment number, which may be set to 1 in step 602.
Determining the dc system daily power curve as the first type of adjustment and the second type of adjustment based on the comparison result in step 603 includes: when the adjustment times of the daily power transmission curve of the direct current system is greater than or equal to the threshold adjustment times, namelyWhen the current system is in the power transmission state, judging a current transmission curve of the direct current system as a first type of adjustment; when the adjustment times of the daily power transmission curve of the direct current system is smaller than the threshold adjustment times, namely +.>At the time, will be straightThe current system daily power delivery curve is judged to be a second type of regulation. That is, as long as the dc system has an obvious adjustment of the operating power, the dc system daily power transmission curve is determined as the first type of adjustment, and if the dc system has no obvious adjustment of the operating power, the dc system daily power transmission curve is determined as the second type of adjustment. According to one embodiment, the first type of modulation is termed "modulated" and the second type of modulation is termed "unregulated". The invention is not limited in this regard and other naming schemes may be used as desired.
As shown in fig. 7, a flowchart of a third determination provided in an embodiment of the present invention includes:
step 701: calculating the matching degree of a daily power transmission curve of the direct current system and a daily load curve of a receiving end region;
step 702: comparing the matching degree with a threshold matching degree; and
step 703: and judging the daily power transmission curve of the direct current system as a first type matching degree and a second type matching degree based on the comparison result. Specifically, when the matching degree of the daily power transmission curve of the direct current system and the daily load curve of the receiving end area is greater than or equal to a threshold matching degree, judging the daily power transmission curve of the direct current system as a first type matching degree; and when the matching degree of the daily power transmission curve of the direct current system and the daily load curve of the receiving end area is smaller than the threshold matching degree, judging the daily power transmission curve of the direct current system as the second type matching degree.
In step 701, calculating the matching degree between the daily power transmission curve of the dc system and the daily load curve of the receiving area includes:
1) And calculating a generalized daily load curve of the receiving end region by subtracting the daily power transmission curve of the direct current system from the daily load curve of the receiving end region. That is to say, the direct current power transmission curve is taken as a power supply, and the daily power transmission daily curve of the direct current system is deducted for the daily load curve of the receiving end region in each season to obtain a generalized daily load curve of the receiving end region, wherein the specific formula is as follows:
Wherein,a generalized daily load curve of the receiving end area of d days in s seasons; p (P) s,d (t) is the transmission power of a daily power transmission curve of the direct current system at the time d day t in the s season, namely the daily power transmission curve of the direct current system; />And d is a daily load curve of the receiving end area of d days in s seasons.
2) The peak Gu Chalv of the generalized daily load curve of the receiving region is obtained by calculating the ratio of the difference between the peak and the trough of the generalized daily load curve of the receiving region to the peak, and the specific formula is as follows:
wherein,generalized daily load curve of receiving end region at d-day t time of s season, < ->And->Day maximum load and day minimum negative of generalized day load curves of receiving end regions of d days in s seasons respectivelyA lotus; />The peak-valley difference and peak Gu Chalv of the generalized daily load curve of the receiving end region of d days in s seasons are respectively.
3) The fluctuation rate of the generalized daily load curve of the receiving end area is calculated, and the specific formula is as follows:
wherein,the generalized daily load curve of the receiving end area at the d-day t time of the s season; /> The average value, standard deviation and fluctuation rate of the generalized daily load curve of d days in s seasons are respectively shown.
4) Calculating the slope association degree of the daily load curve of the receiving end region and the generalized daily load curve of the receiving end region, and measuring the association and the similarity between the two, wherein the specific formula is as follows:
Wherein,the daily load curve of the receiving end area at the moment d and t of s seasons; />The daily load curve of the receiving end area at the time of d days t+1 in s seasons; />The difference between the daily load curves of the receiving end areas at the time d and t+1 of the s season;the generalized daily load curve of the receiving end area at the d-day t time of the s season; />The generalized daily load curve of the receiving end area at the time d day t+1 in the s season; />The difference between the generalized daily load curves of the receiving end region at the time d day t and the time t+1 in the s season; />The standard deviation of the daily load curve of the receiving end area in s seasons; />The standard deviation of the generalized daily load curve of the receiving end area of d days in s seasons; lambda (lambda) s,d (t) is a correlation function of a daily load curve of a receiving end region and a generalized daily load curve of the receiving end region at d-day t time in s-season; beta (t) is a weight function given by different moments t; gamma ray s,d And the slope correlation degree of the daily load curve of the receiving end area and the generalized daily load curve of the receiving end area is s-season d days.
5) The matching degree of the direct current power transmission curve and the daily load curve of the receiving end area is calculated, and the specific formula is as follows:
wherein, gamma s,d The slope correlation degree of the daily load curve of the receiving end area and the generalized daily load curve of the receiving end area is s-season d days;peak Gu Chalv for the s-season d-day generalized daily load curve; / >The fluctuation rate of the generalized daily load curve is d days in s seasons; c s,d The matching degree of the solar power transmission curve of the d-day DC system in the s season and the solar load curve of the receiving end area is obtained.
In step 702, the matching degree is compared with a threshold matching degree, wherein the threshold matching degree can be set in advance according to requirements. According to one embodiment, the threshold matching degree may be set to c r
In step 703, determining the dc system daily power transmission curve as the first type matching degree and the second type matching degree based on the comparison result includes: when the matching degree of the solar power transmission curve of the direct current system and the solar load curve of the receiving end area is greater than or equal to the threshold matching degree, namely c s,d ≥c r When the solar power transmission curve of the direct current system is judged to be the first type matching degree; when the matching degree of the solar power transmission curve of the direct current system and the solar load curve of the receiving end area is smaller than the threshold matching degree, namely c s,d <c r And judging the daily power transmission curve of the direct current system as the second type of matching degree. According to one embodiment, of the first typeThe type matching degree may be named as a type with "higher matching degree" and the second type matching degree may be named as "lower matching degree". The invention is not limited in this regard and other naming schemes may be used as desired.
As described above, the direct current system daily power transmission curve is sub-divided into:
The second scenario: first type daily power output-first type adjustment-first type matching degree. For example, according to the naming convention above, it may be named as "higher daily power output-with-adjustment-higher matching" type;
third scenario: first type daily power output-first type adjustment-second type matching degree. For example, according to the naming convention above, it may be named "higher daily power output-there is an adjustment-lower matching degree" type;
fourth scenario: first type daily power output-second type adjustment-first type matching degree; for example, according to the naming convention above, it may be named as a "higher daily power output-no adjustment-higher matching" type;
fifth scenario: first type daily power transmission-second type adjustment-second type matching degree; for example, according to the naming convention above, it may be named as a "higher daily power output-no adjustment-lower matching" type;
sixth scenario: second type daily power output-first type adjustment-first type matching degree; for example, according to the naming convention above, it may be named a "lower daily power output-with-adjustment-higher matching" type;
seventh scenario: second type daily power output-first type adjustment-second type matching degree; for example, according to the naming convention above, it may be named a "lower daily power output-with-adjustment-lower matching" type;
Eighth scenario: second type daily power output-second type adjustment-first type matching degree; for example, according to the naming convention above, it may be named as a "lower daily power output-no adjustment-higher matching" type; and
ninth scenario: second type daily power transmission-second type adjustment-second type matching degree; for example, according to the above naming convention, it may be named as a "lower daily power output-no adjustment-lower matching" type.
However, the present invention is not limited thereto, and may be classified into different scenes or named into different scene types according to the operation characteristics and naming rules of the daily power transmission curve of the direct current system.
Fig. 8 is a flowchart of an exemplary embodiment of a dc power transmission curve scene generating method according to an embodiment of the present invention. A specific example of the dc power transmission curve scene generating method according to an embodiment of the present invention is described in detail below with reference to fig. 8. In the present embodiment, it should be noted that the order of the steps in fig. 8 is not limited thereto, and may be selectively adjusted. Additionally, one or more of the first, second, and third determinations may be selectively used. Or other decisions may be added additionally.
In step 801, annual raw data of a daily load curve of a receiving-end region and a daily power transmission curve of a direct current system are acquired.
In step 802, a daily power transmission amount Q of a daily power transmission curve of the DC system is calculated s,d
In step 803, the number of times of adjustment of the daily power transmission curve of the DC system is calculated
In step 804, the matching degree c between the solar power transmission curve of the DC system and the solar load curve of the receiving area is calculated s,d
In step 805, the transmission power P of the daily power transmission curve of the dc system is determined s,d (t) if it is less than 0, i.e., if P is satisfied s,d (t) < 0. And when the judgment is satisfied, dividing the daily power transmission curve of the direct current system into a first scene, such as a type of 'generating power flow inversion'. When the judgment is not satisfied, the process proceeds to step 807.
In step 807, it is determined whether Q is satisfied s,d ≥P r T/2. When the judgment is satisfied, the process proceeds to step 808, and when the judgment is not satisfied, the process proceeds to step 811.
In step 808, a determination is made as to whether or notWhen the judgment is satisfied, the process proceeds to step 809, and when the judgment is not satisfied, the process proceeds to step 810.
In step 809, a determination is made as to whether c is satisfied s,d ≥c r . And when the judgment is satisfied, dividing the daily power transmission curve of the direct current system into a fourth scene, for example, a type of 'high daily power transmission quantity-no regulation-high matching degree'. And when the current power transmission curve is judged not to be met, dividing the current power transmission curve of the direct current system into a fifth scene, such as a type of 'high daily power transmission quantity-no regulation-low matching degree'.
In step 810, it is determined whether c is satisfied s,d ≥c r . And when the judgment is satisfied, dividing the daily power transmission curve of the direct current system into a second scene, such as a type of 'high daily power transmission quantity-regulation-high matching degree'. And when the current power transmission curve is judged not to be met, dividing the current power transmission curve of the direct current system into a third scene, such as a type of 'high current power transmission capacity-low adjustment-matching degree'.
In step 811, it is determined whether or not the following condition is satisfiedWhen the judgment is satisfied, proceeding to step 812; when the judgment is not satisfied, the process proceeds to step 813.
In step 812, it is determined whether c is satisfied s,d ≥c r . And when the judgment is satisfied, dividing the daily power transmission curve of the direct current system into an eighth scene, for example, a type of 'low daily power transmission quantity-no regulation-high matching degree'. And when the current power transmission curve is judged not to be met, dividing the current power transmission curve of the direct current system into a ninth scene, such as a type of 'low daily power transmission quantity-no adjustment-low matching degree'.
In step 813, it is determined whether c is satisfied s,d ≥c r . And when the judgment is satisfied, dividing the daily power transmission curve of the direct current system into a sixth scene, for example, a type of 'low daily power transmission quantity-regulation-high matching degree'. Dividing the daily power transmission curve of the direct current system into a seventh when the daily power transmission curve is judged not to be satisfied A scenario, such as "daily power output is low-there is adjustment-matching is low" type.
The probability distribution of each scene may be calculated after the dc power transmission curve scene is generated as described above. For example, the probability of each of the dc power delivery scenarios may be calculated by dividing the number of each of the dc power delivery scenarios within a target period by the number of days within the target period.
In one embodiment, a probability distribution for each of the dc power delivery scenarios may be calculated for a season. Setting the number of scenes included in the scene set of various scenes as d k The probability distribution of various scenes is shown as follows:
p k =d k /D s
wherein d k The number of the scenes included in the scene set of the kth direct current power transmission scene; d (D) s Total days for s seasons.
In the present embodiment, the target period is not limited to seasons, and may be calculated for the whole year. In this case, the number of scenes included in the scene set of the various scenes is obtained by dividing the number of days of the whole year. Fig. 9 shows annual probability distribution of various scenes generated by the dc power transmission curve scene generating method according to an embodiment of the present invention. As shown in fig. 9, the probability of the "reverse flow" type occurring is 0.094; the probability of the type of "higher daily power output-no adjustment-higher matching" is 0.031; the probability of the type of "higher daily power output-no adjustment-lower matching" is 0.031; the probability of the type of "higher daily power output-with adjustment-higher matching" is 0.094; the probability of the type of "higher daily power output-with adjustment-lower matching" is 0.188; the probability of the type of "lower daily power output-no adjustment-higher matching" is 0.063; the probability of the type of "lower daily power output-no adjustment-lower matching" is 0.031; the probability of the type of "lower daily power output-with adjustment-higher matching" is 0.219; the probability of the type "lower daily power output-with adjustment-lower matching" is 0.250.
The invention provides a DC power transmission curve scene generation method based on DC power transmission system operation characteristics and scene reduction technology, which utilizes a mode of combining DC power transmission system operation characteristic analysis technology and forward scene reduction technology based on Kantorovich Distance (KD) distance to establish diversified DC power transmission curve scenes and probability distribution thereof, and fits general characteristics and random characteristics of power transmission of the DC system to the greatest extent with fewer scenes, thereby providing simple and accurate input conditions for flexibly adjusting DC power transmission plans and scheduling system power transmission and conventional energy output in the future, and having stronger calculation practicability and application universality.
Based on the same inventive concept, a further embodiment of the present invention provides an electronic device, see fig. 10, specifically including: a processor 1001, a memory 1002, a communication interface 1003, and a communication bus 1004;
wherein, the processor 1001, the memory 1002, and the communication interface 1003 complete communication with each other through the communication bus 1004;
the processor 1001 is configured to invoke a computer program in the memory 1002, and when the processor executes the computer program, implement all the steps of the dc power transmission curve scene generating method.
It will be appreciated that the refinement and expansion functions that the computer program may perform are as described with reference to the above embodiments.
Based on the same inventive concept, a further embodiment of the present invention provides a non-transitory computer readable storage medium having a computer program stored thereon, which when executed by a processor, implements all the steps of the dc power delivery curve scene generating method described above.
It will be appreciated that the refinement and expansion functions that the computer program may perform are as described with reference to the above embodiments.
Based on the same inventive concept, a further embodiment of the present invention provides a computer program product, which comprises a computer program, and the computer program realizes all the steps of the method for generating a dc power transmission curve scene.
It will be appreciated that the refinement and expansion functions that the computer program may perform are as described with reference to the above embodiments.
Further, the logic instructions in the memory described above may be implemented in the form of software functional units and stored in a computer-readable storage medium when sold or used as a stand-alone product. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The apparatus embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules can be selected according to actual needs to achieve the purpose of the embodiment of the invention. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on this understanding, the above technical solution may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform the security defense method described in the respective embodiments or some parts of the embodiments.
Moreover, in the present invention, 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. Moreover, 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 one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
Furthermore, in the present disclosure, descriptions of the terms "one embodiment," "some embodiments," "examples," "particular examples," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present disclosure. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims (9)

1. The method for generating the DC power transmission curve scene is characterized by comprising the following steps of:
acquiring original data in a target time period of a daily load curve of a receiving end region and a daily power transmission curve of a direct current system;
based on the obtained daily load curve of the receiving end region and the daily power transmission curve of the direct current system, researching the operation characteristics of the daily power transmission curve of the direct current system; and
generating a direct current power transmission curve scene based on an investigation result and calculating probability distribution of the direct current power transmission curve scene;
generating a direct current power transmission curve scene based on the investigation result comprises:
primary dividing the daily power transmission curve of the direct current system based on whether the daily power transmission curve of the direct current system has power flow inversion in the day;
The primary division of the daily power transmission curve of the direct current system based on the judgment result comprises the following steps:
judging whether the daily power transmission curve of the direct current system has power flow reversal in the day or not;
dividing the daily power transmission curve of the direct current system into a first scene when the daily power transmission curve of the direct current system is subjected to power flow inversion in the day; and
when the daily power transmission curve of the direct current system does not generate power flow reversal in the day, carrying out secondary division on the daily power transmission curve of the direct current system;
the sub-dividing of the daily power transmission curve of the direct current system comprises the following steps:
performing first judgment based on the daily power transmission quantity of the daily power transmission curve of the direct current system;
performing second judgment based on the adjustment times of the daily power transmission curve of the direct current system;
performing third judgment based on the matching degree of the daily power transmission curve of the direct current system and the daily load curve of the receiving end region; and
dividing the daily power transmission curve of the direct current system based on the judging results of the first judging, the second judging and the third judging.
2. The method for generating a DC power transmission curve scene according to claim 1, wherein,
the first judgment based on the daily power transmission amount of the daily power transmission curve of the direct current system comprises the following steps:
Calculating the daily power transmission quantity of the daily power transmission curve of the direct current system;
comparing the daily power transmission quantity of the daily power transmission curve of the direct current system with a threshold daily power transmission quantity; and
and judging the solar power transmission curve of the direct current system as a first type solar power transmission quantity and a second type solar power transmission quantity based on the comparison result.
3. The method for generating a DC power transmission curve scene according to claim 2, wherein,
the second judgment based on the adjustment times of the daily power transmission curve of the direct current system comprises the following steps:
calculating the adjustment times of the daily power transmission curve of the direct current system;
comparing the adjustment times of the daily power transmission curve of the direct current system with threshold adjustment times; and
and judging the solar power transmission curve of the direct current system as a first type of regulation and a second type of regulation based on the comparison result.
4. The method for generating a DC power transmission curve scene according to claim 3, wherein,
the third judgment based on the matching degree of the daily power transmission curve of the direct current system and the daily load curve of the receiving end region comprises the following steps:
calculating the matching degree of the daily power transmission curve of the direct current system and the daily load curve of the receiving end region;
comparing the matching degree with a threshold matching degree; and
And judging the solar power transmission curve of the direct current system as a first type matching degree and a second type matching degree based on the comparison result.
5. The method for generating a DC power transmission curve scene according to claim 4, wherein,
dividing the daily power transmission curve of the direct current system based on the judging results of the first judging, the second judging and the third judging includes:
dividing the daily power transmission curve of the direct current system into:
the second scenario: first type daily power output-first type adjustment-first type matching degree;
third scenario: first type daily power output-first type adjustment-second type matching degree;
fourth scenario: first type daily power output-second type adjustment-first type matching degree;
fifth scenario: first type daily power transmission-second type adjustment-second type matching degree;
sixth scenario: second type daily power output-first type adjustment-first type matching degree;
seventh scenario: second type daily power output-first type adjustment-second type matching degree;
eighth scenario: second type daily power output-second type adjustment-first type matching degree; and
ninth scenario: second type daily power output-second type adjustment-second type matching degree.
6. The method for generating a DC power transmission curve scene according to claim 1, wherein,
the calculating of the probability distribution of the direct current power transmission curve scene comprises the following steps:
the probability of each direct current power transmission curve scene is calculated by dividing the number of the direct current power transmission curve scenes in a target period by the number of days in the target period.
7. The direct current power transmission curve scene generation method according to claim 1, characterized by further comprising:
clustering the generated direct current power transmission curve scenes based on a scene reduction method; and
and correcting the clustered direct current power transmission curve scene by taking the average power transmission power between adjacent effective adjustment moments of the direct current system daily power transmission curve as the power transmission power of the time period between the adjacent effective adjustment moments.
8. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the direct current power transmission curve scene generating method according to any one of claims 1 to 7 when executing the program.
9. A non-transitory computer readable storage medium having stored thereon a computer program, characterized in that the computer program, when executed by a processor, implements the steps of the direct current power transmission curve scene generating method according to any one of claims 1 to 7.
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Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102968747A (en) * 2012-11-29 2013-03-13 武汉华中电力电网技术有限公司 Method for determining typical sunrise force curves of wind power station
CN106786791A (en) * 2016-11-30 2017-05-31 云南电网有限责任公司 A kind of generation method of wind power output scene
CN107276093A (en) * 2017-07-07 2017-10-20 中国南方电网有限责任公司电网技术研究中心 The Probabilistic Load computational methods cut down based on scene
CN107528350A (en) * 2017-09-28 2017-12-29 华中科技大学 A kind of wind power output typical scene generation method for adapting to long -- term generation expansion planning
WO2020063144A1 (en) * 2018-09-30 2020-04-02 中国电力科学研究院有限公司 Method and system for evaluating energy delivery capacity in flexible dc electrical grid
CN111900713A (en) * 2020-01-08 2020-11-06 国网吉林省电力有限公司 Multi-scene power transmission network planning method considering load and wind power randomness under network source coordination

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9584004B2 (en) * 2013-03-13 2017-02-28 Constructive Industries, Llc Regenerative power supply system and method
CN109617065B (en) * 2019-01-02 2020-09-15 清华大学 Power transmission network line planning method of power system considering mass operation scenes

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102968747A (en) * 2012-11-29 2013-03-13 武汉华中电力电网技术有限公司 Method for determining typical sunrise force curves of wind power station
CN106786791A (en) * 2016-11-30 2017-05-31 云南电网有限责任公司 A kind of generation method of wind power output scene
CN107276093A (en) * 2017-07-07 2017-10-20 中国南方电网有限责任公司电网技术研究中心 The Probabilistic Load computational methods cut down based on scene
CN107528350A (en) * 2017-09-28 2017-12-29 华中科技大学 A kind of wind power output typical scene generation method for adapting to long -- term generation expansion planning
WO2020063144A1 (en) * 2018-09-30 2020-04-02 中国电力科学研究院有限公司 Method and system for evaluating energy delivery capacity in flexible dc electrical grid
CN111900713A (en) * 2020-01-08 2020-11-06 国网吉林省电力有限公司 Multi-scene power transmission network planning method considering load and wind power randomness under network source coordination

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