Sampling survey method and system considering power market member distribution equilibria

Abstract

The application discloses a sampling investigation method and system considering the balance of power market member distribution. Information reflecting the power market member distribution is selected, including power consumption information, distribution coordinates and regional information. A corresponding quantitative balance index is calculated based on the information, and then a distance sum is obtained. The sampling investigation result considering the balance of the power market member distribution is obtained by combining the distance sum with a penalty function. The application has more stable effects in maintaining regional fairness and transaction power fairness, and the obtained questionnaire is more typical, can fully reflect the overall situation of the power market, and can modify the weight parameter according to the demand to obtain more targeted results.

Description

Technical Field

[0001] This invention belongs to the field of electricity market statistical analysis technology, specifically involving a sampling survey method and system that considers the balanced distribution of electricity market participants. Background Technology

[0002] Existing sampling methods generally employ regional quota allocation and random selection, which struggle to maintain stability in ensuring regional fairness and equity in electricity trading. Since the electricity market needs to consider the perspectives of large, medium, and small enterprises across different regions, finding a sampling method that can consistently maintain regional fairness and equity in electricity trading is an urgent problem to be solved. Summary of the Invention

[0003] To address the shortcomings of existing technologies, this invention provides a sampling survey method and system that considers the distribution balance of electricity market participants. Based on quantitative balance indicators related to region and transaction volume, it improves the balance of the sampling sample distribution and achieves more stable regional fairness and transaction volume fairness.

[0004] The present invention adopts the following technical solution.

[0005] Considering the balanced distribution of electricity market participants, a sampling survey method is used to select information that reflects the distribution of electricity market participants, including electricity consumption information, distribution coordinates, and regional information.

[0006] Based on the information, the corresponding quantitative equilibrium index is calculated, and then the distance sum is obtained;

[0007] By combining distance and penalty functions, sampling survey results that take into account the distribution equilibrium of electricity market members are obtained.

[0008] The present invention further includes the following preferred embodiments:

[0009] Preferably, the method includes the following steps:

[0010] Step 1: Obtain electricity consumption information, distribution coordinates, and regional information of electricity market members. The information obtained for each member is treated as an element.

[0011] Step 2: Place all the elements obtained in Step 1 into the candidate set G, and set the selected set V to an empty set;

[0012] Step 3: Select any element from the candidate set G and delete it, then add the element to the selected set V;

[0013] Step 4: For the remaining elements in the candidate set G, calculate the sum of distances between each remaining element and each element in the selected set V based on the quantitative balance index.

[0014] Step 5: For the remaining elements in the candidate set G, calculate the penalty function for each element, and add the penalty function of each remaining element to the distance and the calculated value to obtain the sum. Remove the remaining element corresponding to the maximum sum from the candidate set G and put it into the selected set V.

[0015] Step 6: Determine whether the number of elements in the selected set V has reached the set value n. If it has, output the selected set V, and the elements in the selected set V are the extracted samples. If it has not reached the set value n, return to step 4.

[0016] Preferably, in step 1, the distribution coordinate information (x, y, z) of electricity market member i is obtained. i y i Distribution area information (a) i b i c i ) and electricity consumption information (e i );

[0017] Therefore, the i-th element is: (x i y i a i b i c i q i );

[0018] Where, x i This represents the longitude information of the i-th element;

[0019] y i This represents the dimensional information of the i-th element;

[0020] a i This represents the province information of the i-th element, with values ​​1, 2, ..., p;

[0021] b i This represents the city information of the i-th element, with values ​​1, 2, ..., t;

[0022] c i This represents the zone-level information of the i-th element, with values ​​1, 2, ..., z;

[0023] p, t, and z represent the total number of provinces, cities, and districts for the i-th element, respectively.

[0024] q i This represents the electricity consumption of the i-th element.

[0025] Preferably, in step 4, the distance and calculation formula are as follows:

[0026] d ij =β1w 1ij +β2w 2ij +β3w 3ij

[0027] Where, d ij This represents the sum of distances between the i-th element and the j-th element;

[0028] w 1ij This is a quantitative indicator of the balance between the electricity consumption of the i-th element and the j-th element.

[0029] w 2ij This is a quantitative indicator of the balance between the geographical locations of the i-th element and the j-th element.

[0030] w 3ij This is a quantitative balance index for the administrative divisions of the i-th element and the j-th element;

[0031] β1, β2, β3 are w 1ij w 2ij w 3ij The weight of the indicator.

[0032] Preferably, w 1ij The calculation method is as follows:

[0033] w 1ij =(q i -q j ) 2

[0034] Where, q i Let be the power consumption of the i-th element;

[0035] q j Let be the electricity consumption of the j-th element.

[0036] Preferably, w 2ij The calculation method is as follows:

[0037] w 2ij =(x i -x j ) 2 +(y i -y j ) 2

[0038] Among them, (x i ,y i () represents the coordinate information of the i-th element;

[0039] (x j ,y j () represents the coordinate information of the j-th element;

[0040] Preferably, w 3ij The calculation method is as follows:

[0041] when a i =aj And b i =b j And c i =c j hour,

[0042] w 3ij =0

[0043] when a i =a j And b i =b j And c i ≠c j hour,

[0044] w 3ij =1

[0045] when a i =a j And b i ≠b j And c i ≠c j hour,

[0046] w 3ij =2

[0047] when a i ≠a j And b i ≠b j And c i ≠c j hour,

[0048] w 3ij =3

[0049] Among them, a i b i c i This represents the province, city, and district information of the i-th element;

[0050] a j b j c j This represents the province, city, and district information of the j-th element.

[0051] Preferably, β1, β2, and β3 are calculated as follows:

[0052]

[0053] Where, q i Let be the power consumption of the i-th element;

[0054] q j Let J be the electricity consumption of the j-th element;

[0055] xi x j This refers to the longitude information of the i-th and j-th elements;

[0056] y i y j This refers to the dimension information of the i-th and j-th elements;

[0057] n is the number of elements.

[0058] Preferably, in step 5, the penalty function is calculated as follows:

[0059]

[0060] Among them, f i Calculate the value of the penalty function for the i-th element;

[0061] m 1αβγ The total number of elements in the candidate set G whose administrative division is (α,β,γ);

[0062] n1 is the total number of elements in the candidate set G;

[0063] m αβγ The total number of elements in the administrative division (α,β,γ) obtained in step 1;

[0064] n2 is the set expected number of samples to be drawn;

[0065] β4 is a parameter set manually.

[0066] A sampling survey system considering the balanced distribution of electricity market participants, the system comprising:

[0067] The information selection module is used to select information that reflects the distribution of electricity market participants, including electricity consumption information, distribution coordinates, and regional information.

[0068] The quantization calculation module is used to calculate the corresponding quantization equilibrium index based on the information, and then obtain the distance sum;

[0069] The sampling screening module is used to screen the sampling survey results that take into account the distribution balance of electricity market members by using a combination of distance and penalty function.

[0070] A terminal includes a processor and a storage medium; the storage medium is used to store instructions.

[0071] The processor is configured to operate according to the instructions to execute the steps of the method.

[0072] A computer-readable storage medium having a computer program stored thereon that, when executed by a processor, implements the steps of the method.

[0073] The beneficial effects of this invention are as follows: Compared with the prior art, this invention addresses the issue of questionnaire distribution methods for electricity market participants by providing a sampling survey scheme that considers the balanced distribution of electricity market participants, satisfying both geographical fairness and fairness in electricity trading volume. Given the geographical location, administrative division, and electricity trading volume information of the participating electricity market participants, a mathematical calculation model for relevant quantitative equilibrium indicators that simultaneously pursues geographical fairness and electricity trading volume fairness is established. The concepts of "distance" and "penalty function" are defined under new definitions, and sampling is conducted based on these, resulting in balanced sampling results. This invention has a more stable effect in maintaining geographical fairness and fairness in electricity trading volume, making the obtained questionnaires more representative and able to fully reflect the overall situation of the electricity market. Furthermore, the weighting parameters can be modified according to needs to obtain more targeted results. Attached Figure Description

[0074] Figure 1 This is a flowchart of the sampling survey method for considering the balanced distribution of electricity market participants in this invention;

[0075] Figure 2 This is a flowchart illustrating the implementation of the sampling survey method for considering the balanced distribution of electricity market participants in this invention. Detailed Implementation

[0076] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of this invention. The embodiments described in this application are merely some embodiments of this invention, and not all embodiments. Based on the spirit of this invention, other embodiments obtained by those skilled in the art without creative effort are all within the protection scope of this invention.

[0077] like Figure 1 As shown, Embodiment 1 of the present invention provides a sampling survey method that considers the balanced distribution of electricity market participants. In the preferred but non-limiting embodiments of the present invention, the basic principles of the implementation of the present invention are as follows:

[0078] 1. The lower the similarity of the samples, the better (reflected in electricity consumption, geographical location, and administrative division).

[0079] 2. Stratified sampling should be performed as much as possible within administrative divisions.

[0080] Therefore, information reflecting the distribution of electricity market participants is selected, including electricity consumption information, distribution coordinates, and regional information; based on the information, corresponding quantitative equilibrium indicators are calculated, and then the distance sum is obtained; by combining the distance sum with a penalty function, sampling survey results considering the equilibrium of the distribution of electricity market participants are obtained.

[0081] More preferably, such as Figure 2 As shown, the method of the present invention includes the following steps:

[0082] Step 1: Obtain electricity consumption information, distribution coordinates, and regional information of electricity market members. The information obtained for each member is treated as an element.

[0083] More preferably, the known element is obtained: the distribution coordinate information (x) of electricity market member i. i y i Distribution area information (a) i b i c i ) and electricity consumption information (q i );

[0084] Therefore, the information matrix of the extracted i-th element can be written as: (x i y i a i b i c i q i );

[0085] In addition, let the total number of elements be m, and the expected number of samples to be drawn be n2;

[0086] Where, x i This represents the longitude information of the i-th element;

[0087] y i This represents the dimensional information of the i-th element;

[0088] a i This represents the province information of the i-th element, with values ​​1, 2, ..., p;

[0089] b i This represents the city information of the i-th element, with values ​​1, 2, ..., t;

[0090] c i This represents the zone-level information of the i-th element, with values ​​1, 2, ..., z;

[0091] p, t, and z represent the total number of provinces, cities, and districts for the i-th element, respectively.

[0092] q i This represents the electricity consumption of the i-th element.

[0093] Step 2: Place all the elements obtained in Step 1 into the candidate set G, and set the selected set V to an empty set;

[0094] Step 3: Select any element from the candidate set G and delete it, then add the element to the selected set V;

[0095] Step 4: For the remaining elements in the candidate set G, calculate the sum of distances between each remaining element and each element in the selected set V based on the quantitative balance index.

[0096] More preferably, the distance is defined and calculated using the following formula:

[0097] d ij =β1w 1ij +β2w 2ij +β3w 3ij

[0098] Where, d ij This represents the sum of distances between the i-th element and the j-th element;

[0099] w 1ij This is a quantitative indicator of the balance between the electricity consumption of the i-th element and the j-th element.

[0100] w 2ij This is a quantitative indicator of the balance between the geographical locations of the i-th element and the j-th element.

[0101] w 3ij This is a quantitative balance index for the administrative divisions of the i-th element and the j-th element;

[0102] β1, β2, β3 are w 1ij w 2ij w 3ij The weights of the indicators are calculated as follows:

[0103]

[0104] Among them, w 1ij The calculation method is as follows:

[0105] w 1ij =(q i -q j ) 2

[0106] Where, q i Let be the power consumption of the i-th element;

[0107] q j Let be the electricity consumption of the j-th element.

[0108] w 2ij The calculation method is as follows:

[0109] w 2ij =(x i -x j ) 2 +(y i -y j ) 2

[0110] Among them, (x i ,y i () represents the coordinate information of the i-th element;

[0111] (x j ,y j () represents the coordinate information of the j-th element;

[0112] w 3ij The calculation method is as follows:

[0113] when a i =a j And b i =b j And c i =c j hour,

[0114] w 3ij =0

[0115] when a i =a j And b i =b j And c i ≠c j hour,

[0116] w 3ij =1

[0117] when a i =a j And b i ≠b j And c i ≠c j hour,

[0118] w 3ij =2

[0119] when a i ≠a j And b i ≠b j And c i ≠c j hour,

[0120] w 3ij =3

[0121] Among them, a i b i c i This represents the province, city, and district information of the i-th element;

[0122] a j b j c jThis represents the province, city, and district information of the j-th element.

[0123] Step 5: For the remaining elements in the candidate set G, calculate the penalty function for each element, and add the penalty function of each remaining element to the distance and the calculated value to obtain the sum. Remove the remaining element corresponding to the maximum sum from the candidate set G and put it into the selected set V.

[0124] More preferably, a penalty function f is defined, which is a function of the elements in the candidate set G for the selected set V and the candidate set G, where the total number of elements in the candidate set G with administrative divisions (α, β, γ) is m. 1αβγ The total number of elements in the candidate set G is n1.

[0125] The penalty function is calculated as follows:

[0126]

[0127] Among them, f i Calculate the value of the penalty function for the i-th element;

[0128] m 1αβγ Let G be the total number of elements in the candidate set G whose administrative division is (α, β, γ); where (α, β, γ) represents the distribution area information (α, β, γ). i b i c i The values ​​of ) respectively refer to province information, city information, and district-level information.

[0129] n1 is the total number of elements in the candidate set G;

[0130] m αβγ The total number of elements in (α,β,γ) obtained in step 1;

[0131] n2 is the set expected number of samples to be drawn;

[0132] β4 is a parameter set manually, usually set to 1. When the penalty function is needed to represent the degree of meaning, it can be set to 10 or 100.

[0133] Step 6: Determine whether the number of elements in the selected set V has reached the set value n. If it has, output the selected set V, and the elements in the selected set V are the extracted samples. If it has not reached the set value n, return to step 4.

[0134] Embodiment 2 of the present invention provides a sampling survey system that considers the balanced distribution of electricity market participants, for implementing the aforementioned sampling survey method. The system includes:

[0135] The information selection module is used to select information that reflects the distribution of electricity market participants, including electricity consumption information, distribution coordinates, and regional information.

[0136] The quantization calculation module is used to calculate the corresponding quantization equilibrium index based on the information, and then obtain the distance sum;

[0137] The sampling screening module is used to screen the sampling survey results that take into account the distribution balance of electricity market members by using a combination of distance and penalty function.

[0138] A terminal includes a processor and a storage medium; the storage medium is used to store instructions.

[0139] The processor is configured to operate according to the instructions to execute the steps of the method.

[0140] A computer-readable storage medium having a computer program stored thereon that, when executed by a processor, implements the steps of the method.

[0141] The beneficial effects of this invention are as follows: Compared with the prior art, this invention addresses the issue of questionnaire distribution methods for electricity market participants by providing a sampling survey scheme that considers the balanced distribution of electricity market participants, satisfying both geographical fairness and fairness in electricity trading volume. Given the geographical location, administrative division, and electricity trading volume information of the participating electricity market participants, a mathematical calculation model for relevant quantitative balance indicators that simultaneously pursues geographical fairness and electricity trading volume fairness is established. The concepts of "distance" and "penalty function" are defined under new definitions, and sampling is conducted based on these, resulting in balanced sampling results. This invention has a more stable effect in maintaining geographical fairness and fairness in electricity trading volume, making the obtained questionnaires more representative and fully reflecting the overall situation of the electricity market. Furthermore, the weight parameters can be modified according to needs to obtain more targeted results.

[0142] This disclosure can be a system, method, and / or computer program product. A computer program product may include a computer-readable storage medium having computer-readable program instructions loaded thereon for causing a processor to implement various aspects of this disclosure.

[0143] Computer-readable storage media can be tangible devices capable of holding and storing instructions for use by an instruction execution device. Computer-readable storage media can be, for example—but not limited to—electrical storage devices, magnetic storage devices, optical storage devices, electromagnetic storage devices, semiconductor storage devices, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of computer-readable storage media include: portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), static random access memory (SRAM), portable compact disc read-only memory (CD-ROM), digital multifunction disc (DVD), memory sticks, floppy disks, mechanical encoding devices, such as punch cards or recessed protrusions storing instructions thereon, and any suitable combination of the foregoing. The computer-readable storage media used herein are not to be construed as transient signals themselves, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through waveguides or other transmission media (e.g., light pulses through fiber optic cables), or electrical signals transmitted through wires.

[0144] The computer-readable program instructions described herein can be downloaded from computer-readable storage media to various computing / processing devices, or downloaded via a network, such as the Internet, local area network, wide area network, and / or wireless network, to an external computer or external storage device. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers, and / or edge servers. A network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards them to the computer-readable storage media in the respective computing / processing device.

[0145] Computer program instructions used to perform the operations of this disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Smalltalk, C++, etc., and conventional procedural programming languages ​​such as the "C" language or similar programming languages. The computer-readable program instructions may execute entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or may be connected to an external computer (e.g., via the Internet using an Internet service provider). In some embodiments, electronic circuitry, such as programmable logic circuitry, field-programmable gate arrays (FPGAs), or programmable logic arrays (PLAs), is personalized by utilizing state information from the computer-readable program instructions to implement various aspects of this disclosure.

[0146] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the protection scope of the claims of the present invention.

Claims

1. A sampling survey method considering the distribution balance of power market members, characterized in that: The method comprises the following steps: Step 1, obtaining the power consumption information, distribution coordinates and regional information of the power market members, and taking the information obtained by each member as an element; Step 2, putting all the elements obtained in step 1 into a candidate set G, and setting the selected set V as an empty set; Step 3, deleting an element from the candidate set G at random and putting the element into the selected set V; Step 4, for the remaining elements in the candidate set G, calculating the distance sum of each remaining element and each element in the selected set V based on the quantitative balance index; the distance sum calculation formula is: d ij = β1w 1ij + β2w 2ij + β3w 3ij wherein, d ij represents the distance between the ith element and the jth element; w 1ij is a quantitative balance index of the ith element and the jth element; w 2ij is a quantitative balance index of the geographical position of the ith element and the jth element; w 3ij is a quantitative balance index of the administrative division of the ith element and the jth element; β1, β2, β3 are weights of w 1ij , w 2ij , w 3ij indexes. The calculation method of β1, β2 and β3 is as follows: wherein q i is the power consumption of the i-th element; q j is the power consumption of the j-th element; x i , x j is the longitude information of the i-th element, the j-th element; y i , y j is the latitude information of the i-th element, the j-th element; n is the number of elements; Step 5, for the remaining elements in the candidate set G, calculating the penalty function of each remaining element, adding the penalty function of each remaining element to the distance sum calculation value to obtain a summation value, deleting the remaining element corresponding to the maximum summation value from the candidate set G and putting the remaining element into the selected set V; the calculation method of the penalty function is: wherein f i is the penalty function value of the i-th element; m 1αβγ is the total number of elements in the administrative division (a, b, g) in the alternative set G; n1 is the total number of elements in the alternative set G; m αβγ is the total number of elements in the administrative division (a, b, g) obtained in step 1; n2 is the set desired sample number; b4 is a human set parameter; Step 6, judging whether the number of elements in the selected set V reaches the set value n, if yes, outputting the selected set V, and the elements in the selected set V are the extracted samples; if not, returning to step 4. 2.The sampling survey method considering the distribution balance of power market members according to claim 1, characterized in that: In step 1, the distribution coordinate information (x i , y i ), the distribution area information (a i , b i , c i ) and the power consumption information (e i ) of the power market member i are acquired. Thus, the ith element is: (x i , y i , a i , b i , c i , q i ); wherein x i represents the longitude information of the i-th element; y i represents the i-th element latitude information; a i denotes the i-th element province information, and takes values of 1, 2, …, p; b i denotes the i-th element city information, and takes values of 1, 2, …, t; c i represents the i-th element area level information, and takes values of 1, 2, …, z; p, t and z respectively represent the total number of provinces, cities and districts of the i-th element; q i qi represents the power consumption of the ith element. 3.The sampling survey method considering the distribution balance of power market members according to claim 1, characterized in that: w 1ij The calculation is as follows: w 1ij = (q i -q j ) 2 wherein q i is the power consumption of the i-th element; q j is the power consumption of the jth element. 4.The sampling survey method considering the distribution balance of power market members according to claim 1, characterized in that: w 2ij The calculation is as follows: w 2ij = (x i - x j ) 2 + (y i - y j ) 2 wherein (x i ,y i ) is coordinate information of the i-th element; (x j ,y j ) is coordinate information of the jth element. 5.The sampling survey method considering the distribution balance of power market members according to claim 1, characterized in that: w 3ij The calculation is as follows: When a i = a j and b i = b j and c i = c j then, w 3ij ＝0 When a i = a j and b i = b j and c i ≠ c j , w 3ij ＝1 when a i = a j and b i ≠ b j and c i ≠ c j then, w 3ij ＝2 when a i ≠ a j and b i ≠ b j and c i ≠ c j then, w 3ij ＝3 wherein a i , b i , c i represents the i-th element of the province, city and district level information; a j , b j , c j denotes the jth element of the province, city and district level information. 6.A sampling survey system considering the distribution balance of power market members, used for realizing the sampling survey method according to any one of claims 1-5, characterized in that: The system comprises: An information selection module for selecting information reflecting the distribution of power market members, including power consumption information, distribution coordinates and regional information; A quantitative calculation module for calculating the corresponding quantitative balance index based on the information, and then obtaining the distance sum; A sampling screening module for screening the sampling survey result considering the distribution balance of power market members by combining the distance sum with the penalty function. 7.A terminal comprising a processor and a storage medium; characterized in that: The storage medium is used for storing instructions; The processor is used for operating according to the instructions to execute the steps of the method according to any one of claims 1-5.

8. A computer readable storage medium having stored thereon a computer program, characterized in that, The program is executed by the processor to realize the steps of the method according to any one of claims 1-5.

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