CN109685270A - A kind of electric Plan Curve decomposition method in west and system - Google Patents
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Abstract
The invention discloses a kind of electric Plan Curve decomposition method in west and systems, the described method includes: the electric pick-up point power-limited data in the west for obtaining n node of target time section in target area, the electric planning data matrix of western electric pick-up point power proportions matrix and west is respectively obtained, the electric Plan Curve split-matrix of pick-up point 96 in west of n node is obtained according to expected matrix, the electric planning data matrix of the electric pick-up point power proportions matrix in west and west；It is added the power of the electric pick-up point object time in n west to obtain 96 planning datas of object time；Matrix of differences is obtained according to western electric 96 planning datas of planning data matrix and object time；Western electric Plan Curve split-matrix is obtained according to matrix of differences and 96 Plan Curve split-matrixes.The present invention can further increase the specific prediction data of western electric pick-up point, have particularly important meaning to the precision of prediction for improving Plan Curve of transferring electricity from the west to the east a few days ago.
Description
Technical Field
The invention relates to the technical field of power systems, in particular to a west electric planning curve decomposition method and system.
Background
The southwest area of China has rich hydraulic resources and is lack of development; the east region is economically developed and lacks energy. The active development of the water and electricity in the southwest of China, and the implementation of the southwest delivery of the water and electricity is a strategic measure for developing the west and realizing the national optimal allocation of power resources.
The 'west electric power transmission from east' is an important work for western electric power development and implementation of western big development strategy. The west-east power transmission not only improves the power supply structure of the Guangdong, but also is beneficial to improving the safety and the operation quality of a power grid. Particularly, since the new century, the requirement of changing the economic development mode in the Zhujiang Delta area strongly needs to construct an open, multi-element, clean, safe and economic energy guarantee system. Therefore, "the west and east electricity transmission" has very important significance for realizing the optimized configuration of the power resources in China.
However, according to the "disclosure implementation details (comments) of the Guangdong power market information," only the current west-east power plan curve is published in the plan information about "west-east power delivery" published at the present stage, and there is no specific prediction data about the west-east power landing point. Therefore, specific prediction data of the west electric landing point can be further increased, and the method has great significance for improving the prediction accuracy of the west electric east transmission plan curve in the day ahead.
Disclosure of Invention
In order to solve the above problems, the present invention provides a west electric planning curve decomposition method and system.
The west power plan curve decomposition method provided by the invention comprises the following steps:
the power limit data of the western electric floor points of n nodes in a target time period in a target area are obtained, and a western electric floor point power proportion matrix ritio and a western electric plan data matrix load are obtained respectivelypreObtaining an expected matrix exp according to the load decomposition proportion of each node and following normal distribution;
according to the expected matrix exp, the West electric landing point power proportion matrix ritio and the West electric planning data matrix loadpreObtaining a 96-point planning curve decomposition matrix load of the West electric floor points with n nodestus；
Adding the power of the n West Electricity ground point target moments to obtain 96-point target moment planning data loadtus_sum；
According to the West Electricity plan data matrix loadpreAnd the target time 96 points planning data loadtus_sumObtaining a difference matrix loaddev；
According to the difference matrix loaddevAnd the 96-point design curve decomposition matrix loadtusObtaining the West Electricity plan curve decomposition matrix loadres。
According to the west electric plan curve decomposition method provided by the invention, west electric floor power limit data of n nodes in a target time period in a target area are firstly acquired, and a west electric floor power proportion matrix ritio and a west electric plan data matrix load are respectively acquiredpreObtaining an expected matrix exp according to the load decomposition proportion of each node and following normal distribution; according to the expected matrix exp, the West electric landing point power proportion matrix ritio and the West electric planning data matrix loadpreObtaining a 96-point planning curve decomposition matrix load of the West electric floor points with n nodestus(ii) a The randomness and rationality of the prediction can be improved by the addition of the desired matrix exp. According to the West Electricity plan data matrix loadpreAnd the target time 96 points planning data loadtus_sumObtaining a difference matrix loaddev(ii) a According to whatDifference matrix loaddevAnd the 96-point design curve decomposition matrix loadtusObtaining the West Electricity plan curve decomposition matrix loadres. By said difference matrix loaddevThe addition of the method can correct the deviation of the prediction value of each floor point, and improve the yield of the West Electricity plan curve decomposition matrix loadresCompared with the prior art, the method can further increase specific prediction data of the west electric floor points, and has great significance for improving the prediction precision of the west-east power transmission plan curve in the past.
In addition, according to the west electric planning curve decomposition method of the present invention, the following additional technical features may be provided:
further, the load is based on the difference matrixdevAnd the 96-point design curve decomposition matrix loadtusObtaining the West Electricity plan curve decomposition matrix loadresAfter the step of (a), the method further comprises:
decomposing the west electric planning curve into a matrix loadresIncreasing L or decreasing L simultaneously to obtain a west electric planning curve limit matrix, wherein the L value is determined according to the specification of the assessment index in the west electric planning curve;
determining the west electric planning curve decomposition matrix loadresThe number of rows and the number of columns of the west electric planning curve limit matrix are respectively consistent with those of the west electric planning curve limit matrix.
Further, the determining the west electric planning curve decomposition matrix loadresAfter the step of respectively corresponding to the number of rows and the number of columns of the west electrical planning curve restriction matrix, the method further comprises:
judging the west power plan curve decomposition matrix loadresWhether the value in (a) is within the range of values of the corresponding position in the west electrical plan curve limit matrix;
if yes, decomposing the west electric planning curve into a matrix loadresDecomposing matrix load as west electric planning curveres；
If not, the West Electricity plan data matrix load is carried outpreDecomposing matrix load as west electric planning curveres。
Further, in the step of obtaining the power limit data of the west electric grounding point at n nodes in the target time period in the target area to obtain the west electric grounding point power proportion matrix ritio, the west electric grounding point power proportion matrix ritio is calculated by adopting the following formula:
ritio＝powerlim/powersum
wherein, power1_1Limiting power of the 1 st floor point at the first moment for dividing 24 hours a day into 96 moments;
powern_1limiting power of the 1 st floor point at the nth time for dividing 24 hours a day into 96 times;
to divide 24 hours a day into 96 times, n floor points per time limit the sum of the power.
Further, the step of obtaining the expected matrix exp according to the load decomposition proportion of each node follows normal distribution is as follows: a matrix of random numbers is generated from a [1,0.05] normal distribution over a target time period.
Further, the western electric floor points 96-point planning curve decomposition matrix load with the n nodes is obtainedtusThe method comprises the following specific steps:
loading the west electric planning data matrixprePerforming Hadamard product operation on the Western electric floor power proportional matrix ritio and the expected matrix exp to obtain the 96-point design curve decomposition matrix loadtusThe formula is as follows:
further, the power of the n west-electricity ground point target moments is added to obtain 96-point target moment planning data loadtus_sumThe formula adopted is as follows:
wherein,in order to divide 24 hours a day into 96 times, the sum of the power of the first time of the n western electric landing spots.
Further, the load according to the west electric planning data matrixpreAnd the target time 96 points planning data loadtus_sumObtaining a difference matrix loaddevThe formula of (1) is:
further, the load is based on the difference matrixdevAnd the 96-point design curve decomposition matrix loadtusObtaining the West Electricity plan curve decomposition matrix loadresThe formula of (1) is:
loadres＝loadtus+loaddev
＝loadtus+loaddev×ritio
another objective of the present invention is to provide a west electricity plan curve decomposition system to solve the problem that the specific prediction data of the west electricity landing point cannot be predicted in the prior art.
The west electric planning curve decomposition system provided by the invention comprises:
an obtaining module, configured to obtain power limit data of the west electric floor point at n nodes in a target time period in a target area, and obtain a west electric floor point power ratio matrix ritio and a west electric plan data matrix load respectivelypreThe method comprises the following steps of obtaining an expected matrix exp according to the load decomposition proportion of each node and following normal distribution;
a first calculation module for calculating the expected matrix exp, the West electric floor power ratio matrix ritio and the West electric plan data matrix load according to the expected matrix exp, the West electric floor power ratio matrix ritio and the West electric plan data matrix loadpreObtaining a 96-point planning curve decomposition matrix load of the West electric floor points with n nodestus；
A second calculation module for adding the power of the n West electric grounding point target moments to obtain 96-point target moment planning data loadtus_sum；
A third calculation module for loading according to the West Electricity plan data matrixpreAnd the target time 96 points planning data loadtus_sumObtaining a difference matrix loaddev；
A fourth calculating module for calculating the difference matrix loaddevAnd the 96-point design curve decomposition matrix loadtusObtaining the West Electricity plan curve decomposition matrix loadres；
A judging module for judging the western electric planning curve decomposition matrix loadresWhether the numerical value in (1) is in the West Electricity plan data matrix loadpreWithin the range of medium values.
Drawings
FIG. 1 is a flow chart of a Western electric planning curve decomposition method according to a first embodiment of the present invention;
FIG. 2 is a flow chart of a Western electric planning curve decomposition method according to a second embodiment of the present invention;
fig. 3 is a block diagram of a west electrical plan curve decomposition system according to a third embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, 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 some, but not all, embodiments of the present invention. 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, a west power plan curve decomposition method according to a first embodiment of the present invention includes steps S101 to S105:
step S101, power limit data of the West electric grounding point of n nodes in a target time period in a target area are obtained, and a West electric grounding point power proportion matrix ritio and a West electric planning data matrix load are obtained respectivelypreAnd obtaining the expected matrix exp according to the load decomposition proportion of each node and following normal distribution.
When the west electric planning curve of a target time period in a target area needs to be decomposed, firstly, the west electric planning curve of a certain period of target time period in the future in the target area is obtained, and the west electric planning curve is uniformly dispersed into power limiting data of west electric floor points comprising n nodes; therefore, power limitation data of the West electric grounding points of the n nodes in the target time period in the target area are obtained.
In this embodiment, in the method for obtaining n west electricity landing points by predicting and decomposing the west electricity plan curve of tuesday with target area tuesday as a target time period: in the step of obtaining the western electric floor power proportion matrix ritio, the western electric floor power proportion matrix ritio is calculated by adopting the following formula:
ritio＝powerlim/powersum
wherein, power1_1Limiting power of the 1 st floor point at the first moment for dividing 24 hours of a tuesday of a target time period into 96 moments;
powern_1limiting power of the 1 st floor point at the nth time for dividing 24 hours a day into 96 times;
to divide the 24 hours of the target time period tuesday into 96 times, the sum of the power is limited by n floor points per time.
The steps of obtaining the expected matrix exp according to the load decomposition proportion of each node and following normal distribution are as follows: a matrix of random numbers is generated from a [1,0.05] normal distribution over a target time period.
The expected matrix exp and the western electric floor point power proportional matrix ritio have the same row number and column number respectively. As can be appreciated, since the expected matrix exp satisfies a normal distribution, the randomness and rationality of the prediction of the next landing point after the western electric planning curve decomposition can be improved by adding the expected matrix exp.
Step S102, according to the expected matrix exp, the western electric floor point power proportion matrix ritio and the western electric plan data matrix loadpreObtaining a 96-point planning curve decomposition matrix load of the West electric floor points with n nodestus。
Obtaining a 96-point planning curve decomposition matrix load of the West electric floor points of the n nodestusThe method comprises the following specific steps:
loading the west electric planning data matrixprePerforming Hadamard product operation on the Western electric floor power proportional matrix ritio and the expected matrix exp to obtain the 96-point design curve decomposition matrix loadtusThe formula is as follows:
step S103, adding the power of the n West Electricity ground point target time to obtain 96-point target time planning data loadtus_sum。
Adding the power of the n West Electricity ground point target moments to obtain 96-point target moment planning data loadtus_sumThe formula adopted is as follows:
wherein,to divide 24 hours of a tuesday of the target time period into 96 times, the sum of the first time powers of the n west electric landing spots.
Step S104, according to the West Electricity plan data matrix loadpreAnd the target time 96 points planning data loadtus_sumObtaining a difference matrix loaddev。
Wherein the rootAccording to the west electric planning data matrix loadpreAnd the target time 96 points planning data loadtus_sumObtaining a difference matrix loaddevThe formula of (1) is:
as can be appreciated, the difference matrix loaddevIs loaded by the West Electricity planning data matrixprePlanning data load with the target time 96tus_sumThe resulting data is subtracted.
Step S105, according to the difference matrix loaddevAnd the 96-point design curve decomposition matrix loadtusObtaining the West Electricity plan curve decomposition matrix loadres。
Wherein the load is based on the difference matrixdevAnd the 96-point design curve decomposition matrix loadtusObtaining the West Electricity plan curve decomposition matrix loadresThe formula of (1) is:
loadres＝loadtus+loaddev
＝loadtus+loaddev×ritio
wherein, loaddevThe operation of Xritio is to loaddevThe Hadamard product operation is performed with ritio after the replication and expansion into n rows, which is a common matrix operation and is not described herein.
As can be appreciated, the west electric planning curve decomposes matrix loadresIs loaded by the difference matrixdevPerforming Hadamard product operation with the power proportional matrix ritio of the West Electricity landing point, and then decomposing the matrix load with the 96-point design curvetusThe matrix obtained by addition. Correcting the West Electricity plan curve decomposition matrix load by assigning differences to the prediction value matrix of each landing pointresThe prediction deviation improves the accuracy of the result and meets the actual requirementAnd (4) using the demand.
According to the west electric plan curve decomposition method provided by the invention, west electric floor power limit data of n nodes in a target time period in a target area are firstly acquired, and a west electric floor power proportion matrix ritio and a west electric plan data matrix load are respectively acquiredpreObtaining an expected matrix exp according to the load decomposition proportion of each node and following normal distribution; according to the expected matrix exp, the West electric landing point power proportion matrix ritio and the West electric planning data matrix loadpreObtaining a 96-point planning curve decomposition matrix load of the West electric floor points with n nodestus(ii) a The randomness and rationality of the prediction can be improved by the addition of the desired matrix exp. According to the West Electricity plan data matrix loadpreAnd the target time 96 points planning data loadtus_sumObtaining a difference matrix loaddev(ii) a According to the difference matrix loaddevAnd the 96-point design curve decomposition matrix loadtusObtaining the West Electricity plan curve decomposition matrix loadres. By said difference matrix loaddevThe addition of the method can correct the deviation of the prediction value of each floor point, and improve the yield of the West Electricity plan curve decomposition matrix loadresCompared with the prior art, the method can further increase specific prediction data of the west electric floor points, and has great significance for improving the prediction precision of the west-east power transmission plan curve in the past.
Referring to fig. 2, the west power plan curve decomposition method in the second embodiment includes steps S201 to S205.
Step S201, load the West Electricity planning data matrixpreAnd simultaneously increasing L or decreasing L to obtain a west electrical planning curve limit matrix.
Wherein the L value is determined according to the specification of the assessment index in the west electric planning curve. In this embodiment, the L value is 95% of the allowable deviation, so as to ensure that the west electrical plan data matrix load is ensuredpreWhile still satisfying the west electrical plan curve after simultaneously increasing or decreasing LThe assessment index in (1) is specified. But not limited thereto, in other embodiments, the L value may also be 85% of the allowable deviation, and the user may adjust the L value according to actual needs to meet different engineering needs.
Step S202, determining the West Electricity planning data matrix loadpreThe number of rows and the number of columns of the west electric planning curve limit matrix are respectively consistent with those of the west electric planning curve limit matrix. To ensure the West Electricity planning data matrix loadpreAnd the west power planning curve limits the accuracy of matrix operation.
Step S203, judging the west power plan curve decomposition matrix loadresIs within the range of values of the corresponding location in the west electrical plan curve limit matrix. If yes, go to step S204, otherwise go to step S205.
It is further noted that, the determining the west electricity plan curve decomposition matrix loadresThe method for determining whether the numerical value in (1) is within the numerical range of the corresponding position in the west electrical planning curve limit matrix is as follows:
if the west electric planning curve limit matrix is the west electric planning data matrix loadpreIf all the numerical values in the Western electric planning curve decomposition matrix load are increased by L at the same time, judging that the Western electric planning curve decomposition matrix load isresWhether the numerical value in (1) is smaller than the numerical value of the corresponding position of the west electric planning curve limit matrix; if the west electric planning curve limit matrix is the west electric planning data matrix loadpreAll the numerical values in the Western electric planning curve decomposition matrix load are reduced by L at the same time, and then the Western electric planning curve decomposition matrix load is judgedresIs greater than the value of the corresponding position of the west electrical plan curve limit matrix.
Step S204, decomposing the west electric planning curve into a matrix loadresAs the target matrix.
Step S205, load the West Electricity planning data matrixpreAs the target matrix.
The west electric planning curve decomposition method is further perfected on the basis of the first embodiment, and accuracy is improved.
It should be noted that the present embodiment focuses on differences from the previous embodiment, similar parts between the embodiments are not repeatedly described, and may refer to each other, and technical features between the embodiments may be selectively combined according to a conventional technical means of a person skilled in the art.
Referring to fig. 3, a west grid planning curve decomposition system according to a third embodiment of the present invention includes: the device comprises an acquisition module 10, a first calculation module 20, a second calculation module 30, a third calculation module 40, a fourth calculation module 50 and a judgment module 60.
The obtaining module 10 is configured to obtain the west electric floor power limitation data of n nodes in the target time period in the target area, and obtain the west electric floor power proportion matrix ritio and the west electric plan data matrix load respectivelypreObtaining an expected matrix exp according to the load decomposition proportion of each node and following normal distribution;
in the step of obtaining the power limit data of the western electric grounding point at n nodes in the target time period in the target area to obtain the western electric grounding point power proportion matrix ritio, the western electric grounding point power proportion matrix ritio is calculated by adopting the following formula:
ritio＝powerlim/powersum
wherein, power1_1Limiting power of the 1 st floor point at the first moment for dividing 24 hours a day into 96 moments; powern_1To divide 24 hours a day into 96 hoursLimiting power of the 1 st floor point at the nth moment;
to divide 24 hours a day into 96 times, n floor points per time limit the sum of the power.
The steps of obtaining the expected matrix exp according to the load decomposition proportion of each node and following normal distribution are as follows: a matrix of random numbers is generated from a [1,0.05] normal distribution over a target time period.
The first calculating module 20 is configured to calculate the expected matrix, the west electric floor power ratio matrix ritio, and the west electric plan data matrix load according to the expected matrix, the west electric floor power ratio matrix ritio, and the west electric plan data matrix loadpreObtaining a 96-point planning curve decomposition matrix load of the West electric floor points with n nodestus；
Obtaining a 96-point planning curve decomposition matrix load of the West electric floor points with n nodestusThe method comprises the following specific steps:
loading the west electric planning data matrixprePerforming Hadamard product operation on the Western electric floor power proportional matrix ritio and the expected matrix exp to obtain the 96-point design curve decomposition matrix loadtusThe formula is as follows:
the second calculating module 30 is configured to add powers of the n west-electricity ground point target moments to obtain 96-point target moment planning data loadtus_sum；
Adding the power of the n West Electricity ground point target moments to obtain 96-point target moment planning data loadtus_sumThe formula adopted is as follows:
wherein,in order to divide 24 hours a day into 96 times, the sum of the power of the first time of the n western electric landing spots.
The third calculation module 40 is used for loading according to the west electric planning data matrixpreAnd the target time 96 points planning data loadtus_sumObtaining a difference matrix loaddev；
The load according to the West Electricity plan data matrixpreAnd the target time 96 points planning data loadtus_sumObtaining a difference matrix loaddevThe formula of (1) is:
the fourth calculating module 50 is configured to calculate the difference matrix load according to the difference matrix loaddevAnd the 96-point design curve decomposition matrix loadtusObtaining the West Electricity plan curve decomposition matrix loadres；
The load is obtained according to the difference matrixdevAnd the 96-point design curve decomposition matrix loadtusObtaining the West Electricity plan curve decomposition matrix loadresThe formula of (1) is:
loadres＝loadtus+loaddev
＝loadtus+loaddev×ritio
wherein, loaddevThe operation of Xritio is to loaddevThe Hadamard product operation is performed with ritio after the replication and expansion into n rows, which is a common matrix operation and is not described herein.
The judging module 60 is configured to judge the west electric plan curve decomposition matrix loadresWhether the numerical value in (1) is in the West Electricity plan data matrix loadpreWithin the range of medium values.
In this embodiment, the determining module 60 includes: an arithmetic unit 61, a determination unit 62, and a judgment unit 63.
The operation unit 61 is used for increasing or decreasing each numerical value in the west electric planning data matrix by L to obtain a west electric planning curve limiting matrix, wherein the L value is determined according to the specification of the assessment index in the west electric planning curve;
a determining unit 62, configured to determine that the number of rows and the number of columns of the west electrical plan data matrix and the west electrical plan curve limiting matrix are respectively consistent.
A judging unit 63 for judging the west electric planning curve decomposition matrix loadresWhether the value in (a) is within the range of values of the corresponding position in the west electrical plan curve limit matrix;
specifically, when the west electric planning curve decomposition matrix load is judgedresIf the numerical value of the central point is within the numerical range of the corresponding position in the west electric planning curve limit matrix, the west electric planning curve is decomposed into a matrix loadresAs a target matrix; when judging that the west electric planning curve decomposition matrix loadresIf the numerical value in (1) is not in the numerical range of the corresponding position in the west electric planning curve limit matrix, the west electric planning data matrix load is carried outpreAs the target matrix.
According to the west electric plan curve decomposition system provided by the invention, west electric floor power limit data of n nodes in a target time period in a target area are firstly acquired, and a west electric floor power proportion matrix ritio and a west electric plan data matrix load are respectively acquiredpreObtaining an expected matrix exp according to the load decomposition proportion of each node and following normal distribution; according to the expected matrix exp, the West electric landing point power proportion matrix ritio and the West electric planning data matrix loadpreWestern electric floor point 96-point plan for obtaining n nodesCurve decomposition matrix loadtus(ii) a The randomness and rationality of the prediction can be improved by the addition of the desired matrix exp. According to the West Electricity plan data matrix loadpreAnd the target time 96 points planning data loadtus_sumObtaining a difference matrix loaddev(ii) a According to the difference matrix loaddevAnd the 96-point design curve decomposition matrix loadtusObtaining the West Electricity plan curve decomposition matrix loadres. By said difference matrix loaddevThe addition of the method can correct the deviation of the prediction value of each floor point, and improve the yield of the West Electricity plan curve decomposition matrix loadresCompared with the prior art, the method can further increase specific prediction data of the west electric floor points, and has great significance for improving the prediction precision of the west-east power transmission plan curve in the past.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," 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 invention. In this specification, the schematic representations of the terms used above do not necessarily refer 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.
While embodiments of the invention have been shown and described, it will be understood by those of ordinary skill in the art that: various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.
Claims (10)
1. A west electricity plan curve decomposition method, characterized in that the method comprises the following steps:
the power limit data of the western electric floor points of n nodes in a target time period in a target area are obtained, and a western electric floor point power proportion matrix ritio and a western electric plan data matrix load are obtained respectivelypreObtaining an expected matrix exp according to the load decomposition proportion of each node and following normal distribution;
according to the expected matrix exp, the west electric floor point power proportion matrix ritio and the west electric plan data matrixloadpreObtaining a 96-point planning curve decomposition matrix load of the West electric floor points with n nodestus；
Adding the power of the n West Electricity ground point target moments to obtain 96-point target moment planning data loadtus_sum；
According to the West Electricity plan data matrix loadpreAnd the target time 96 points planning data loadtus_sumObtaining a difference matrix loaddev；
According to the difference matrix loaddevAnd the 96-point design curve decomposition matrix loadtusObtaining the West Electricity plan curve decomposition matrix loadres。
2. The west power plan curve decomposition method of claim 1 wherein the load is based on the difference matrixdevAnd the 96-point design curve decomposition matrix loadtusObtaining the West Electricity plan curve decomposition matrix loadresAfter the step of (a), the method further comprises:
loading the west electric planning data matrixpreIncreasing L or decreasing L simultaneously to obtain a west electric planning curve limit matrix, wherein the L value is determined according to the specification of the assessment index in the west electric planning curve;
determining the West Electricity plan data matrix loadpreThe number of rows and the number of columns of the west electric planning curve limit matrix are respectively consistent with those of the west electric planning curve limit matrix.
3. The west electrical plan curve decomposition method of claim 2 wherein said determining said west electrical plan data matrix loadpreAfter the step of respectively corresponding to the number of rows and the number of columns of the west electrical planning curve restriction matrix, the method further comprises:
judging the west power plan curve decomposition matrix loadresWhether the value in (a) is within the range of values of the corresponding position in the west electrical plan curve limit matrix;
if yes, decomposing the west electric planning curve into a matrix loadresAs a purpose of the inventionMarking a matrix;
if not, the West Electricity plan data matrix load is carried outpreAs the target matrix.
4. The west electric plan curve decomposition method as claimed in claim 1, wherein in the step of obtaining the west electric grounding point power limit data of n nodes of the target time period in the target area to obtain the west electric grounding point power proportion matrix ritio, the west electric grounding point power proportion matrix ritio is calculated by using the following formula:
ritio＝powerlim/powersum
wherein, power1_1Limiting power of the 1 st floor point at the first moment for dividing 24 hours a day into 96 moments; powern_1Limiting power of the 1 st floor point at the nth time for dividing 24 hours a day into 96 times;
to divide 24 hours a day into 96 times, n floor points per time limit the sum of the power.
5. The west power plan curve decomposition method as claimed in claim 1, wherein the step of obtaining the expected matrix exp according to the load decomposition proportion of each drop node following normal distribution is: a matrix of random numbers is generated from a [1,0.05] normal distribution over a target time period.
6. The west power plan curve decomposition method of claim 1,obtaining a 96-point planning curve decomposition matrix load of the West electric floor points with n nodestusThe method comprises the following specific steps:
loading the west electric planning data matrixprePerforming Hadamard product operation on the Western electric floor power proportional matrix ritio and the expected matrix exp to obtain the 96-point design curve decomposition matrix loadtusThe formula is as follows:
7. the west electric plan curve decomposition method as claimed in claim 1, wherein the power of the n west electric grounding point target time is added to obtain a target time 96 point plan data loadtus_sumThe formula adopted is as follows:
wherein,in order to divide 24 hours a day into 96 times, the sum of the power of the first time of the n western electric landing spots.
8. The west electrical plan curve decomposition method of claim 7 wherein said load is based on said west electrical plan data matrixpreAnd the target time 96 points planning data loadtus_sumObtaining a difference matrix loaddevThe formula of (1) is:
9. the west power plan curve decomposition method of claim 1 wherein the method is based on the difference matrixloaddevAnd the 96-point design curve decomposition matrix loadtusObtaining the West Electricity plan curve decomposition matrix loadresThe formula of (1) is:
loadres＝loadtus+loaddev
＝loadtus+loaddev×ritio。
10. the west power plan curve decomposition system of claim 1 comprising:
an obtaining module, configured to obtain power limit data of the west electric floor point at n nodes in a target time period in a target area, and obtain a west electric floor point power ratio matrix ritio and a west electric plan data matrix load respectivelypreObtaining an expected matrix exp according to the load decomposition proportion of each node and following normal distribution;
a first calculation module for calculating the expected matrix, the western electric floor power ratio matrix ritio and the western electric plan data matrix load according to the expected matrixpreObtaining a 96-point planning curve decomposition matrix load of the West electric floor points with n nodestus；
A second calculation module for adding the power of the n West electric grounding point target moments to obtain 96-point target moment planning data loadtus_sum；
A third calculation module for loading according to the West Electricity plan data matrixpreAnd the target time 96 points planning data loadtus_sumObtaining a difference matrix loaddev(ii) a A fourth calculating module for calculating the difference matrix loaddevAnd the 96-point design curve decomposition matrix loadtusObtaining the West Electricity plan curve decomposition matrix loadres；
A judging module for judging the western electric planning curve decomposition matrix loadresWhether the numerical value in (1) is in the West Electricity plan data matrix loadpreWithin the range of medium values.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106203736A (en) * | 2016-07-28 | 2016-12-07 | 华北电力大学 | A kind of formulating method of large-scale Energy Base wind-fire isolated island direct current transportation plan |
| CN106451568A (en) * | 2016-11-19 | 2017-02-22 | 大连理工大学 | Medium-short term coordinated dispatching method for ultra-high voltage AC-DC hybrid power grid |
| CN108320111A (en) * | 2018-03-16 | 2018-07-24 | 大连理工大学 | A kind of ultra-large GROUP OF HYDROPOWER STATIONS practical dispatching method in short term |
| CN108695904A (en) * | 2018-06-26 | 2018-10-23 | 广东电网有限责任公司 | It is a kind of for the adjusting method of daily trading planning, device, equipment and storage medium |
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106203736A (en) * | 2016-07-28 | 2016-12-07 | 华北电力大学 | A kind of formulating method of large-scale Energy Base wind-fire isolated island direct current transportation plan |
| CN106451568A (en) * | 2016-11-19 | 2017-02-22 | 大连理工大学 | Medium-short term coordinated dispatching method for ultra-high voltage AC-DC hybrid power grid |
| CN108320111A (en) * | 2018-03-16 | 2018-07-24 | 大连理工大学 | A kind of ultra-large GROUP OF HYDROPOWER STATIONS practical dispatching method in short term |
| CN108695904A (en) * | 2018-06-26 | 2018-10-23 | 广东电网有限责任公司 | It is a kind of for the adjusting method of daily trading planning, device, equipment and storage medium |
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