Internet of Things trust analysis method and system for frequency regulation trading of West-to-East power transmission units

Abstract

The present application discloses an Internet of Things trust analysis method and system for frequency regulation transactions of West-East Power Transmission Units. By considering the data information formed by data transmission rate and data storage sharing, and considering the data errors and omissions formed by data collection, the Internet of Things trust for West-East Power Transmission Units is calculated using the information sufficiency and omission amount, and the impact of trust on the frequency regulation transactions of West-East Power Transmission Units is evaluated. This method reflects the impact of Internet of Things data information on the frequency regulation transactions of West-East Power Transmission Units with respect to data information formed by data transmission rate and data storage sharing, and data errors and omissions formed by data collection. It provides theoretical guidance for the Internet of Things trust evaluation for West-East Power Transmission Units frequency regulation transactions, and provides necessary technical support for frequency regulation transactions based on the Internet of Things.

Description

Technical Field

[0001] The present application relates to the field of electric power technology, and in particular to an Internet of Things trust analysis method and system for frequency regulation transactions of west-to-east power transmission units. Background Art

[0002] The three major application scenarios of 5G are a further deepening of the three major application scenarios of data transmission solutions in the power Internet of Things. Relevant experts and scholars at home and abroad have also divided the power Internet of Things business according to the three major application scenarios of 5G and carried out relevant research work.

[0003] The eMBB scenario mainly meets the needs of some high-bandwidth services, which is an enhancement of data collection application scenarios and business information transmission scenarios. At present, the application of the power Internet of Things in this regard is mainly the big video of the power grid, including substation robot inspection, transmission line drone online monitoring, distribution room video monitoring, mobile on-site construction operation control and emergency on-site self-organizing network comprehensive application. Many researchers have tried to apply 5G technology to certain scenarios and have achieved certain results.

[0004] In terms of trust calculation, there are many research results, such as: calculating the reputation value of nodes in the global scope through multiple iterations of the trust chain, introducing probability theory to solve the trust problem, and giving a trust model algorithm performance based on Bayesian network. The algorithm's time decay and penalty factor are considered when calculating trust, which improves the accuracy of the algorithm and its ability to resist strategic attacks. Trust is dynamically established and developed, and its development trend has certain rules. At the same time, there is a certain correlation between two adjacent transactions. The existing algorithms do not well reflect the time correlation, context correlation and development trend of trust. In order to better describe these characteristics of trust, on the basis of the existing Markov chain model, the steady-state probability is introduced to describe the development trend of trust. After each transaction is completed, the transfer matrix is ​​dynamically updated to more accurately describe the context correlation of trust. At the same time, the time decay factor and penalty incentive factor are added to improve the algorithm's ability to resist attacks. However, there is still little research on the Internet of Things trust calculation method and existing technology for the frequency regulation transaction of the West-East Power Transmission Unit. Therefore, there is an urgent need for an Internet of Things trust analysis method applied to the frequency regulation transaction of the West-East Power Transmission Unit to calculate the trust of the power Internet of Things and evaluate the impact of trust on the frequency regulation transaction of the West-East Power Transmission Unit. Summary of the invention

[0005] The present application provides an Internet of Things trust analysis method and system for frequency regulation transactions of West-to-East Power Transmission Units, which are used to calculate the trust of the power Internet of Things and evaluate the impact of the trust on frequency regulation transactions of West-to-East Power Transmission Units.

[0006] In view of this, the first aspect of the present application provides an Internet of Things trust analysis method for frequency regulation transactions of west-to-east power transmission units, the method comprising:

[0007] According to the frequency regulation price data and frequency regulation power demand data of the power system, as well as the frequency regulation power data and quotation data of the West-East Power Transmission Units participating in the frequency regulation, the three-dimensional trapezoidal fuzzy set of the acquisition error of the frequency regulation price and frequency regulation power demand of the power system during the determined period, and the three-dimensional trapezoidal fuzzy set of the acquisition error of the frequency regulation power and quotation of the West-East Power Transmission Units participating in the frequency regulation are calculated by using the statistical analysis method;

[0008] According to the data transmission rate, data bandwidth data and data storage sharing scale data of the IoT monitoring data center, a statistical analysis method is used to calculate and determine the three-dimensional trapezoidal fuzzy sets of several fuzzy uncertainties of different levels of data transmission rate, data bandwidth and data storage sharing scale.

[0009] The frequency regulation power collection error of the West-to-East Power Transmission Units participating in the frequency regulation formed in the power Internet of Things is calculated based on the three-dimensional trapezoidal fuzzy set of frequency regulation power demand and frequency regulation power collection error; the frequency regulation quotation collection error of the West-to-East Power Transmission Units participating in the frequency regulation formed in the power Internet of Things is calculated based on the three-dimensional trapezoidal fuzzy set of frequency regulation price and quotation collection error;

[0010] According to the three-dimensional trapezoidal fuzzy sets of several fuzzy uncertainties at different levels of data transmission rate, data bandwidth, and data storage sharing scale, the information benefit values ​​of the power Internet of Things at the perception layer, platform layer, and network layer are calculated respectively;

[0011] According to the frequency regulation power quantity collection error of the West-East Power Transmission units participating in the frequency regulation, and the frequency regulation quotation collection error of the West-East Power Transmission units participating in the frequency regulation, the information loss value of the frequency regulation transaction caused by the frequency regulation power quantity and quotation collection error of the West-East Power Transmission units participating in the frequency regulation formed in the power Internet of Things is calculated respectively;

[0012] According to the information gain value of the power Internet of Things at the perception layer, platform layer and network layer, as well as the information loss value, the average value of the trust of the power Internet of Things in all users in the power Internet of Things for frequency regulation transactions of west-to-east power transmission units is calculated.

[0013] Optionally, the information gain value of the power Internet of Things at the perception layer, platform layer and network layer, and the information loss value are calculated in the power Internet of Things for frequency regulation transactions of west-to-east power transmission units, and the average value of the trust of the power Internet of Things in all users is specifically calculated including:

[0014] The trust level of the power Internet of Things is evaluated based on the average value of the trust of all users of the power Internet of Things.

[0015] Optionally, according to the frequency regulation power data of the west-to-east power transmission units participating in the frequency regulation, a statistical analysis method is used to calculate the three-dimensional trapezoidal fuzzy set of the acquisition error of the frequency regulation power of the west-to-east power transmission units participating in the frequency regulation during a certain period, specifically including:

[0016] Using the IoT sensing system, the power market monitoring data center is used to obtain frequency regulation power data of the West-to-East power transmission units involved in frequency regulation;

[0017] According to the data information of the frequency regulation power of the West-East Power Transmission Units participating in frequency regulation, the statistical analysis method is used to calculate the three-dimensional trapezoidal fuzzy set of the frequency regulation power acquisition error of the West-East Power Transmission Units participating in frequency regulation during the period t. Where t=1,2,...,N RP :

[0018]

[0019] In the formula, and are the frequency regulation power acquisition error three-dimensional trapezoidal fuzzy set or the fuzzy number and membership coefficient corresponding to the lower bound, middle bound and upper bound of the three-dimensional trapezoidal fuzzy set for the west-to-east power transmission units participating in frequency regulation in time period t, j=1,2,3,4 and They are the fuzzy numbers and membership coefficients corresponding to the lower bound, middle bound and upper bound of the three-dimensional trapezoidal fuzzy set of the frequency regulation power acquisition error of the west-to-east power transmission units participating in frequency regulation in time period t.

[0020] Optionally, according to the data bandwidth data of the IoT monitoring data center, a statistical analysis method is used to calculate and determine a number of three-dimensional trapezoidal fuzzy sets of fuzzy uncertainties of different levels of data bandwidth, specifically including:

[0021] At the network layer of the power Internet of Things, the data bandwidth information is obtained through the Internet of Things monitoring data center, and the statistical analysis method is used to calculate and determine the three-dimensional trapezoidal fuzzy set v of nine fuzzy uncertainties of data bandwidth: extremely low, very low, low, relatively low, medium, relatively high, high, very high, and extremely high. Di , i=1,2,...,9:

[0022] B Di =(B DiL ,B DiM ,B DiU )=[(B DiL1 ,B DiL2 ,B DiL3 ,B DiL4 ;k DBiL ),(B DiM1 ,B DiM2 ,B DiM3 ,B DiM4 ;kDBiM ),(B DiU1 ,B DiU2 ,B DiU3 ,B DiU4 ;k DBiU )];

[0023] In the formula, B Di is the i-th three-dimensional trapezoidal fuzzy set of daily power generation, B DiL , B DiM , B DiU and k DBiL , k DBiM , k DBiU are the fuzzy sets and membership coefficients of the lower, middle and upper bounds of the ith three-dimensional trapezoidal fuzzy set of data bandwidth, respectively. DiLj , B DiMj , B DiUj , j = 1, 2, 3, 4, are the fuzzy numbers of the lower bound, middle bound and upper bound fuzzy sets of the i-th three-dimensional trapezoidal fuzzy set of the data bandwidth respectively.

[0024] Optionally, the three-dimensional trapezoidal fuzzy set calculation of the frequency regulation power collection error of the west-to-east power transmission units participating in the frequency regulation formed in the power Internet of Things based on the frequency regulation power demand and the frequency regulation power collection error specifically includes:

[0025] The three-dimensional trapezoidal fuzzy set of frequency regulation power demand and frequency regulation power collection error is substituted into the frequency regulation power collection error calculation formula of the West-East Power Transmission Units participating in the frequency regulation, and the frequency regulation power collection error of the West-East Power Transmission Units participating in the frequency regulation formed in the power Internet of Things is calculated.

[0026] The frequency modulation power acquisition error calculation formula is:

[0027]

[0028] In the formula, is the three-dimensional trapezoidal fuzzy set of the acquisition error of the frequency modulation power demand, is the three-dimensional trapezoidal fuzzy set of the acquisition error of the frequency modulation power quantity, Represents the union of fuzzy sets.

[0029] Optionally, the information benefit value of the power Internet of Things at the network layer is calculated based on a number of three-dimensional trapezoidal fuzzy sets of fuzzy uncertainties at different levels of data bandwidth, specifically including:

[0030] Substitute several three-dimensional trapezoidal fuzzy sets of fuzzy uncertainty at different levels of data bandwidth into the information benefit calculation formula to calculate the information benefit value of the power Internet of Things at the network layer.

[0031] The information benefit calculation formula is:

[0032]

[0033] In the formula, R RP4 The information revenue value generated by the power Internet of Things providing data bandwidth to users in frequency modulation transactions; In order to provide users with the information benefit value formed by data transmission at 9 fuzzy uncertainty rates of very low, very low, low, lower, medium, higher, high, very high and very high, k DBi is the unit profit value brought to users by the data transmission rate of the power Internet of Things.

[0034] Optionally, the frequency regulation power amount and quotation collection error of the units participating in the frequency regulation of the West-to-East Power Transmission formed in the power Internet of Things will cause information loss value of the frequency regulation transaction caused by the frequency regulation power amount and quotation collection error of the units participating in the frequency regulation of the West-to-East Power Transmission, specifically including:

[0035] Substitute the frequency regulation power quantity collection error of the West-East Power Transmission Units participating in the frequency regulation and the frequency regulation quotation collection error of the West-East Power Transmission Units participating in the frequency regulation into the information loss value calculation formula, and calculate the information loss value of the frequency regulation transaction caused by the frequency regulation power quantity and quotation collection error of the West-East Power Transmission Units participating in the frequency regulation formed in the power Internet of Things;

[0036] Wherein, the information loss value calculation formula is:

[0037]

[0038] Where, L RP The frequency regulation power and quotation collection errors of the West-to-East Power Transmission Units involved in the frequency regulation in the power Internet of Things will cause the information loss value of the frequency regulation transaction; It is the influence coefficient or weight coefficient of the frequency regulation power quantity collection error of the West-to-East Power Transmission Units involved in the frequency regulation formed in the power Internet of Things. It is the unit loss value caused by the frequency regulation power collection error of the West-to-East Power Transmission Units involved in the frequency regulation in the power Internet of Things; It is the influence coefficient or weight coefficient of the frequency regulation quotation collection error of the West-to-East Power Transmission Units involved in the frequency regulation formed in the power Internet of Things. It is the unit loss value caused by the frequency regulation quotation collection error of the West-to-East Power Transmission Units participating in the frequency regulation in the power Internet of Things. To collect the frequency regulation power quantity error of the West-East Power Transmission Units involved in frequency regulation, To collect frequency quotation errors for the West-to-East Power Transmission units involved in frequency regulation.

[0039] Optionally, the information gain value of the power Internet of Things at the perception layer, platform layer and network layer, and the information loss value are calculated in the power Internet of Things for frequency regulation transactions of west-to-east power transmission units, and the average value of the trust of the power Internet of Things in all users is specifically calculated including:

[0040] Substitute the information gain value of the power Internet of Things at the perception layer, platform layer and network layer, as well as the information loss value, into the average value calculation formula to calculate the average value of the trust of the power Internet of Things in all users in the power Internet of Things for frequency regulation transactions of west-to-east power transmission units;

[0041] Wherein, the average value calculation formula is:

[0042]

[0043] In the formula, B I is the average trust of all users in the power Internet of Things, R RP1 , R RP2 , R RP3 , R RP4 are the information benefits brought by data transmission in the perception layer, platform layer, and network layer, and by data bandwidth in the network layer, respectively. RP is the information loss value.

[0044] A second aspect of the present application provides an Internet of Things trust analysis system for frequency regulation trading of west-to-east power transmission units, the system comprising:

[0045] The first calculation unit is used to calculate the three-dimensional trapezoidal fuzzy set of the acquisition error of the frequency regulation price and the frequency regulation power demand of the power system in a certain period of time, and the three-dimensional trapezoidal fuzzy set of the acquisition error of the frequency regulation power and the quotation of the west-to-east power transmission units participating in the frequency regulation by using a statistical analysis method according to the frequency regulation price data and the frequency regulation power demand data of the power system, and the frequency regulation power data and quotation data of the west-to-east power transmission units participating in the frequency regulation;

[0046] The second calculation unit is used to calculate and determine the data transmission rate, data bandwidth, and data storage sharing scale data of the Internet of Things monitoring data center by using a statistical analysis method, respectively, a number of three-dimensional trapezoidal fuzzy sets of fuzzy uncertainties of different levels of data transmission rate, data bandwidth, and data storage sharing scale;

[0047] The third calculation unit is used to calculate the frequency regulation power collection error of the West-to-East Power Transmission Units participating in the frequency regulation formed in the power Internet of Things according to the three-dimensional trapezoidal fuzzy set of the frequency regulation power demand and the collection error of the frequency regulation power, and calculate the frequency regulation quotation collection error of the West-to-East Power Transmission Units participating in the frequency regulation formed in the power Internet of Things according to the three-dimensional trapezoidal fuzzy set of the collection error of the frequency regulation price and quotation;

[0048] The fourth calculation unit is used to calculate the information benefit values ​​of the power Internet of Things at the perception layer, the platform layer and the network layer respectively according to a plurality of three-dimensional trapezoidal fuzzy sets of fuzzy uncertainties of different levels of data transmission rate, data bandwidth and data storage sharing scale;

[0049] The fifth calculation unit is used to calculate the information loss value of the frequency regulation transaction caused by the frequency regulation power and quotation collection error of the West-to-East Power Transmission Units participating in the frequency regulation formed in the power Internet of Things, according to the frequency regulation power collection error of the West-to-East Power Transmission Units participating in the frequency regulation and the frequency regulation quotation collection error of the West-to-East Power Transmission Units participating in the frequency regulation;

[0050] The sixth calculation unit is used to calculate the average value of the trust of the power Internet of Things in all users in the power Internet of Things for frequency regulation transactions of west-to-east power transmission units based on the information gain value of the power Internet of Things at the perception layer, platform layer and network layer, and the information loss value.

[0051] Optionally, it also includes: an evaluation unit, used to evaluate the trust level of the power Internet of Things based on the average value of the trust of the power Internet of Things in all users.

[0052] It can be seen from the above technical solutions that this application has the following advantages:

[0053] The technical effect of this application is: using the Internet of Things trust calculation method for frequency regulation trading of West-East Power Transmission Units proposed in this application, the Internet of Things trust for West-East Power Transmission Units can be calculated. This Internet of Things trust calculation method for frequency regulation trading of West-East Power Transmission Units simultaneously reflects the influence of the perception system, data transmission rate, and data storage sharing, provides theoretical guidance for the Internet of Things trust evaluation for West-East Power Transmission Units frequency regulation trading, and provides necessary technical support for frequency regulation trading based on the Internet of Things. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 A flow chart of an Internet of Things trust analysis method for frequency regulation trading of a west-to-east power transmission unit provided in an embodiment of the present application;

[0055] Figure 2 This is a structural schematic diagram of an Internet of Things trust analysis system for frequency regulation trading of west-to-east power transmission units provided in an embodiment of the present application. DETAILED DESCRIPTION

[0056] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0057] See also Figure 1 , an Internet of Things trust analysis method for frequency regulation trading of west-to-east power transmission units provided in an embodiment of the present application includes:

[0058] Step 101: According to the frequency regulation price data and frequency regulation power demand data of the power system, and the frequency regulation power data and quotation data of the West-East Power Transmission Units participating in the frequency regulation, a statistical analysis method is used to respectively calculate the three-dimensional trapezoidal fuzzy set of the acquisition error of the frequency regulation price and frequency regulation power demand of the power system in a certain period, and the three-dimensional trapezoidal fuzzy set of the acquisition error of the frequency regulation power and quotation of the West-East Power Transmission Units participating in the frequency regulation;

[0059] It should be noted that step 101 is the process and method for evaluating the error in data collection of frequency regulation transactions of West-to-East Power Transmission Units in the Internet of Things.

[0060] At the perception layer of the power Internet of Things, relevant data information is obtained, such as the fuzzy and uncertain power system frequency regulation price, the power system frequency regulation power demand, the frequency regulation power of the West-to-East Power Transmission units participating in frequency regulation and their quotations, the frequency regulation power of the West-to-East Power Transmission units participating in frequency regulation and their quotations, the frequency regulation power of the nuclear power units participating in frequency regulation and their quotations, the frequency regulation power of the gas-fired power units participating in frequency regulation and their quotations, and the frequency regulation power of the West-to-East Power Transmission units participating in frequency regulation and their quotations.

[0061] Specifically, they include:

[0062] 1011. Use the IoT sensing system to obtain relevant data information on the power system frequency regulation price from the power market monitoring data center. According to the data on the power system frequency regulation price obtained from the power market, use statistical analysis methods to calculate and determine the time period t (t = 1, 2, ..., N e , N e The three-dimensional trapezoidal fuzzy set of the frequency regulation price collection error of the power system (time period number)

[0063]

[0064] In the formula, and are the three-dimensional trapezoidal fuzzy set of the frequency regulation price acquisition error of the power system in period t or the fuzzy numbers and membership coefficients corresponding to the lower bound, middle bound and upper bound of the three-dimensional trapezoid, respectively. and They are the fuzzy numbers and membership coefficients corresponding to the lower bound, middle bound and upper bound of the three-dimensional trapezoidal fuzzy set of the frequency regulation price collection error of the power system in time period t.

[0065] 1012. Use the IoT sensing system to obtain relevant data information on the power demand for power system frequency regulation from the power market monitoring data center. According to the data on the power demand for power system frequency regulation obtained from the power market, use statistical analysis methods to calculate and determine the time period t (t = 1, 2, ..., N RP 3D trapezoidal fuzzy set for power system frequency regulation power demand acquisition error

[0066]

[0067] In the formula, and are the three-dimensional trapezoidal fuzzy set of the power demand for frequency regulation of the power system during period t or the fuzzy numbers and membership coefficients corresponding to the lower bound, middle bound and upper bound of the three-dimensional trapezoidal fuzzy set, respectively. and They are the fuzzy numbers and membership coefficients corresponding to the lower bound, middle bound and upper bound of the three-dimensional trapezoidal fuzzy set of the frequency regulation power demand acquisition error of the power system in time period t.

[0068] 1013. Use the IoT sensing system to obtain relevant data information on the frequency regulation power of the West-to-East power transmission units participating in frequency regulation from the power market monitoring data center. According to the frequency regulation power data of the West-to-East power transmission units participating in frequency regulation in the power market, use statistical analysis methods to calculate and determine the time period t (t = 1, 2, ..., N RP 3D trapezoidal fuzzy set of frequency regulation power acquisition error of West-East power transmission units involved in frequency regulation

[0069]

[0070] In the formula, and are the frequency regulation power acquisition error three-dimensional trapezoidal fuzzy set or the fuzzy number and membership coefficient corresponding to the lower bound, middle bound and upper bound of the three-dimensional trapezoidal fuzzy set for the west-to-east power transmission units participating in frequency regulation in time period t, and They are the fuzzy numbers and membership coefficients corresponding to the lower bound, middle bound and upper bound of the three-dimensional trapezoidal fuzzy set of the frequency regulation power acquisition error of the west-to-east power transmission units participating in frequency regulation in time period t.

[0071] 1014. Use the Internet of Things sensing system to obtain relevant data information on the quotations of the West-to-East power transmission units participating in frequency regulation from the power market monitoring data center. According to the quotations of the West-to-East power transmission units participating in frequency regulation in the power market, use statistical analysis methods to calculate and determine the time period t (t = 1, 2, ..., N RP 3D trapezoidal fuzzy set of bid collection errors of West-East power transmission units participating in frequency regulation

[0072]

[0073] In the formula, and are the three-dimensional trapezoidal fuzzy set of the quotation collection error of the west-to-east power transmission units participating in frequency regulation in time period t, or the fuzzy numbers and membership coefficients corresponding to the lower bound, middle bound and upper bound of the three-dimensional trapezoidal set, and They are the fuzzy numbers and membership coefficients corresponding to the lower bound, middle bound and upper bound of the three-dimensional trapezoidal fuzzy set of the quotation collection error of the west-to-east power transmission units participating in frequency regulation during time period t.

[0074] Step 102: According to the data transmission rate, data bandwidth data and data storage sharing scale data of the IoT monitoring data center, a statistical analysis method is used to respectively calculate and determine a number of three-dimensional trapezoidal fuzzy sets of fuzzy uncertainties of different levels of data transmission rate, data bandwidth and data storage sharing scale;

[0075] It should be noted that step 102 is a process and method for monitoring the data transmission rate and data bandwidth of the power Internet of Things for power market frequency regulation transactions; and a process and method for evaluating the data storage sharing scale of the power Internet of Things for power market frequency regulation transactions.

[0076] Specifically, they include:

[0077] 1021. The process and method for monitoring the data transmission rate and data bandwidth of the power Internet of Things for power market frequency regulation transactions.

[0078] In the network layer of the power Internet of Things, the relevant data information of the data transmission rate is obtained from the Internet of Things monitoring data center, and the statistical analysis method is used to calculate and determine the three-dimensional trapezoidal fuzzy set v of nine fuzzy uncertainties of data transmission rate: extremely low, very low, low, relatively low, medium, relatively high, high, very high, and extremely high. Di (i=1,2,...,9):

[0079] v Di =(v DiL ,v DiM ,v DiU )=[(v DiL1 ,vDiL2 ,v DiL3 ,v DiL4 ;k DviL ),(v DiM1 ,v DiM2 ,v DiM3 ,v DiM4 ;k DviM ),(v DiU1 ,v DiU2 ,v DiU3 ,v DiU4 ;k DviU )];

[0080] In the formula, v Di is the ith three-dimensional trapezoidal fuzzy set of daily power generation, v DiL 、v DiM 、v DiU and k DviL , k DviM , k DviU are the fuzzy sets and membership coefficients of the lower, middle and upper bounds of the i-th three-dimensional trapezoidal fuzzy set of data transmission rate, respectively. DiLj 、v DiMj 、v DiUj (j=1, 2, 3, 4) are the fuzzy numbers of the lower bound, middle bound and upper bound fuzzy sets of the i-th three-dimensional trapezoidal fuzzy set of data transmission rate.

[0081] At the network layer of the power Internet of Things, relevant data information of data bandwidth is obtained from the Internet of Things monitoring data center, and statistical analysis methods are used to calculate and determine the three-dimensional trapezoidal fuzzy sets v of nine fuzzy uncertainties of data bandwidth: extremely low, very low, low, relatively low, medium, relatively high, high, very high, and extremely high. Di (i=1,2,...,9):

[0082] B Di =(B DiL ,B DiM ,B DiU )=[(B DiL1 ,B DiL2 ,B DiL3 ,B DiL4 ;k DBiL ),(B DiM1 ,B DiM2 ,B DiM3 ,B DiM4 ;k DBiM ),(B DiU1 ,B DiU2 ,B DiU3 ,B DiU4 ;k DBiU )];

[0083] In the formula, B Diis the i-th three-dimensional trapezoidal fuzzy set of daily power generation, B DiL , B DiM , B DiU and k DBiL , k DBiM , k DBiU are the fuzzy sets and membership coefficients of the lower, middle and upper bounds of the ith three-dimensional trapezoidal fuzzy set of data bandwidth, respectively. DiLj , B DiMj , B DiUj (j=1,2,3,4) are the fuzzy numbers of the lower bound, middle bound and upper bound fuzzy sets of the i-th three-dimensional trapezoidal fuzzy set of the data bandwidth respectively.

[0084] 1022. Process and method for evaluating the scale of power Internet of Things data storage sharing for power market frequency regulation transactions.

[0085] At the platform layer of the power Internet of Things, relevant data information on the scale of data storage sharing is obtained from the Internet of Things monitoring data center, and a statistical analysis method is used to calculate and determine the three-dimensional trapezoidal fuzzy set S of nine fuzzy uncertainties: extremely low, very low, low, relatively low, medium, relatively high, high, very high, and extremely high. Di (i=1,2,...,9):

[0086] S Di =(S DiL ,S DiM ,S DiU )=[(S DiL1 ,S DiL2 ,S DiL3 ,S DiL4 ;k DSiL ),(S DiM1 ,S DiM2 ,S DiM3 ,S DiM4 ;k DSiM ),(S DiU1 ,S DiU2 ,S DiU3 ,S DiU4 ;k DSiU )];

[0087] In the formula, S Di is the i-th three-dimensional trapezoidal fuzzy set of data storage sharing scale, S DiL , S DiM , S DiU and k DSiL , k DSiM , k DSiU They are the fuzzy sets and membership coefficients of the lower, middle and upper bounds of the i-th three-dimensional trapezoidal fuzzy set of data storage sharing scale, S DiLj , S DiMj , S DiUj(j=1, 2, 3, 4) are the fuzzy numbers of the lower bound, middle bound and upper bound fuzzy sets of the i-th three-dimensional trapezoidal fuzzy set of the data storage sharing scale respectively.

[0088] Step 103, the frequency regulation power collection error of the West-to-East Power Transmission Units participating in the frequency regulation formed in the power Internet of Things is calculated according to the three-dimensional trapezoidal fuzzy set of the frequency regulation power demand and the collection error of the frequency regulation power, and the frequency regulation quotation collection error of the West-to-East Power Transmission Units participating in the frequency regulation formed in the power Internet of Things is calculated according to the three-dimensional trapezoidal fuzzy set of the collection error of the frequency regulation price and quotation;

[0089] It should be noted that step 103 is the process and method for calculating the error in collecting the frequency regulation power of the units participating in the frequency regulation of the West-to-East Power Transmission formed in the power Internet of Things; and the process and method for calculating the error in collecting the frequency regulation quotations of the units participating in the frequency regulation of the West-to-East Power Transmission formed in the power Internet of Things.

[0090] Specifically, they include:

[0091] 1031. The process and method for calculating the frequency regulation power quantity collection error of the units involved in the frequency regulation of west-to-east power transmission formed in the power Internet of Things.

[0092] The frequency regulation power collection error of the West-to-East power transmission units involved in the frequency regulation formed in the power Internet of Things is jointly determined by the frequency regulation power demand of the power system and the frequency regulation power collection error of the West-to-East power transmission units. The calculation is as follows:

[0093]

[0094] In the formula, Represents the union of fuzzy sets.

[0095] 1032. The process and method for calculating the error in collecting frequency regulation quotations for units involved in the frequency regulation of West-to-East power transmission formed in the power Internet of Things.

[0096] The frequency regulation quotation collection error of the West-to-East power transmission units involved in the frequency regulation formed in the power Internet of Things is jointly determined by the frequency regulation power demand of the power system and the frequency regulation quotation collection error of the West-to-East power transmission units. The calculation is as follows:

[0097]

[0098] Step 104, according to the data transmission rate, data bandwidth, and a number of three-dimensional trapezoidal fuzzy sets of different levels of fuzzy uncertainty of data storage sharing scale, respectively calculate the information benefit value of the power Internet of Things at the perception layer, platform layer and network layer;

[0099] It should be noted that step 104 is a process and method for calculating the information benefit value of the power Internet of Things in frequency modulation trading, which specifically includes:

[0100] 1041. Calculation of information benefit value of the perception layer. In the perception layer, the perception system is used to obtain data information such as electricity market prices, power demand for power system frequency regulation and its quotation, and frequency regulation power of various generator sets and their quotations. The calculation formula for the information benefit value of the perception layer is as follows:

[0101] R RP1 =E[k Mi M X ];

[0102] In the formula, R RP1 The information benefit value generated by the power Internet of Things providing data collection to users in frequency regulation transactions; k Mi M H is the information benefit value formed by the Internet of Things providing data collection for the West-to-East Power Transmission Unit at the perception layer; E[] is the expected value of []. Represents the union of 9 fuzzy sets.

[0103] M X It can be expressed by three-dimensional trapezoidal fuzzy sets, and the specific formula is as follows:

[0104] M X =(M XL ,M XM ,M XU )=[(M XL1 ,M XL2 ,M XL3 ,M XL4 ;k XL ),

[0105] (M XM1 ,M XM2 ,M XM3 ,M XM4 ;k XM ),

[0106] (M XU1 ,M XU2 ,M XU3 ,M XU4 ;k XU )];

[0107] Where M X The three-dimensional trapezoidal fuzzy set of the data collection scale is provided for the West-East Power Transmission Unit in the perception layer of the Internet of Things. XL 、M XM 、M XU and k XL , k XM , kXU The fuzzy sets and their membership coefficients are the lower, middle and upper bounds of the three-dimensional trapezoidal fuzzy set for the data collection scale provided by the Internet of Things for the West-East Power Transmission Unit at the perception layer, respectively. XLj 、M XMj 、M XUj (j=1,2,3,4) are the fuzzy numbers of the lower, middle and upper bounds of the three-dimensional trapezoidal fuzzy set of the data collection scale provided by the Internet of Things at the perception layer for the West-East Power Transmission Units.

[0108] 1042. Calculation of information benefit value at the platform layer. At the platform layer, with the help of the big data system, the sharing and interaction of power system frequency regulation data can be realized. The information benefit value calculation formula at the platform layer is as follows:

[0109]

[0110] In the formula, R RP2 The information revenue value generated by providing data storage and sharing to users in frequency regulation transactions through the power Internet of Things; In order to provide users with the information benefit value of data storage sharing with 9 fuzzy uncertainty scales of very low, very low, low, lower, medium, higher, high, very high and very high, k DSi It is the unit profit value brought to users by the data storage sharing at the i-th rate provided by the power Internet of Things.

[0111] 1042. Calculation of information benefit value brought by data transmission in the network layer. In the network layer, data transmission is realized with the help of the network system, so that frequency modulation users can obtain sufficient information and gain benefits by using the Internet of Things. The calculation formula of information benefit value brought by data transmission in the network layer is as follows:

[0112]

[0113] In the formula, R RP3 The information revenue value generated by the power Internet of Things providing data transmission to users in frequency modulation transactions; In order to provide users with the information benefit value formed by data transmission at 9 fuzzy uncertainty rates of very low, very low, low, lower, medium, higher, high, very high and very high, k Dvi is the unit profit value brought to users by the data transmission rate of the power Internet of Things.

[0114] 1044. Calculation of information benefit value brought by data bandwidth in the network layer. In the network layer, with the help of the bandwidth of the network system, effective data transmission is achieved, so that frequency modulation users can obtain sufficient information and gain benefits by using the Internet of Things. The calculation formula for the information benefit value brought by data bandwidth in the network layer is as follows:

[0115]

[0116] In the formula, R RP4 The information revenue value generated by the power Internet of Things providing data bandwidth to users in frequency modulation transactions; In order to provide users with the information benefit value formed by data transmission at 9 fuzzy uncertainty rates of very low, very low, low, lower, medium, higher, high, very high and very high, k DBi is the unit profit value brought to users by the data transmission rate of the power Internet of Things.

[0117] Step 105, according to the frequency regulation power amount collection error of the West-to-East Power Transmission Units participating in the frequency regulation and the frequency regulation quotation collection error of the West-to-East Power Transmission Units participating in the frequency regulation, respectively calculate the information loss value of the frequency regulation transaction caused by the frequency regulation power amount and quotation collection error of the West-to-East Power Transmission Units participating in the frequency regulation formed in the power Internet of Things;

[0118] It should be noted that step 105 is the process and method for calculating the information loss value of the power Internet of Things in the frequency regulation transaction. The frequency regulation power and quotation collection errors of the West-to-East Power Transmission Units participating in the frequency regulation formed in the power Internet of Things will cause information loss in the frequency regulation transaction, and its value is calculated according to the following formula:

[0119]

[0120] Where, L RP The frequency regulation power and quotation collection errors of the West-to-East Power Transmission Units involved in the frequency regulation in the power Internet of Things will cause the information loss value of the frequency regulation transaction; It is the influence coefficient or weight coefficient of the frequency regulation power quantity collection error of the West-to-East Power Transmission Units involved in the frequency regulation formed in the power Internet of Things. It is the unit loss value caused by the frequency regulation power collection error of the West-to-East Power Transmission Units involved in the frequency regulation in the power Internet of Things; It is the influence coefficient or weight coefficient of the frequency regulation quotation collection error of the West-to-East Power Transmission Units involved in the frequency regulation formed in the power Internet of Things. It is the unit loss value caused by the error in collecting frequency quotation of the west-to-east power transmission units involved in the frequency regulation in the power Internet of Things.

[0121] Step 106: Calculate the average trust of the power Internet of Things for all users in the power Internet of Things for frequency regulation transactions of the west-to-east power transmission units based on the information gain values ​​and information loss values ​​of the power Internet of Things at the perception layer, platform layer and network layer.

[0122] It should be noted that step 106 is a process and method for calculating the trust of the Internet of Things for the frequency regulation transaction of the West-East Power Transmission Unit. In the power Internet of Things for the frequency regulation transaction of the West-East Power Transmission Unit, users of the perception layer, network layer and platform layer provide information and enable users to obtain benefits. From this, the average trust of the power Internet of Things for all users can be calculated, and the calculation formula is:

[0123]

[0124] In one embodiment, the Internet of Things trust analysis method for frequency regulation transactions of west-to-east power transmission units of the present application also includes: evaluating the trust level of the power Internet of Things based on the average value of the trust of all users of the power Internet of Things.

[0125] It should be noted that the trust level of all users can be evaluated based on the calculated average trust of the power Internet of Things:

[0126] When B I =1, the power Internet of Things is fully adapted to the application of frequency regulation trading of west-to-east power transmission units.

[0127] When 0.8≤B I When <1, the power Internet of Things is well adapted to the application of frequency regulation trading of west-to-east power transmission units.

[0128] When 0.5≤B I When <0.8, the power Internet of Things is better adapted to the application of frequency regulation trading of west-to-east power transmission units.

[0129] When 0.3≤B I When <0.5, the power Internet of Things is suitable for the application of frequency regulation trading of west-to-east power transmission units.

[0130] When 0≤B I When <0.3, the power Internet of Things cannot adapt to the application of frequency regulation trading of west-to-east power transmission units.

[0131] The Internet of Things trust analysis method for the frequency regulation transaction of the West-East Power Transmission Unit provided in the embodiment of the present application considers the data information formed by the data transmission rate and data storage sharing, and the data errors and omissions formed by data collection, and uses the information sufficiency and omission to calculate the Internet of Things trust for the frequency regulation transaction of the West-East Power Transmission Unit, and evaluates the impact of the trust on the frequency regulation transaction of the West-East Power Transmission Unit. This method reflects the impact of the Internet of Things data information on the frequency regulation transaction of the West-East Power Transmission Unit by targeting the data information formed by the data transmission rate and data storage sharing, and the data errors and omissions formed by data collection.

[0132] The above is an Internet of Things trust analysis method for frequency regulation transactions of west-to-east power transmission units provided in an embodiment of the present application. The following is an Internet of Things trust analysis system for frequency regulation transactions of west-to-east power transmission units provided in an embodiment of the present application.

[0133] See also Figure 2 , an Internet of Things trust analysis system for frequency regulation trading of west-to-east power transmission units provided in an embodiment of the present application includes:

[0134] The first calculation unit 201 is used to calculate the three-dimensional trapezoidal fuzzy set of the acquisition error of the frequency regulation price and the frequency regulation power demand of the power system in a certain period of time, and the three-dimensional trapezoidal fuzzy set of the acquisition error of the frequency regulation power and the quotation of the west-to-east power transmission unit participating in the frequency regulation by using a statistical analysis method according to the frequency regulation price data and the frequency regulation power demand data of the power system, and the frequency regulation power data and quotation data of the west-to-east power transmission unit participating in the frequency regulation;

[0135] The second calculation unit 202 is used to calculate and determine the data transmission rate, data bandwidth, and data storage sharing scale data of the Internet of Things monitoring data center by using a statistical analysis method, respectively, a plurality of three-dimensional trapezoidal fuzzy sets of fuzzy uncertainties of different levels of data transmission rate, data bandwidth, and data storage sharing scale;

[0136] The third calculation unit 203 is used to calculate the frequency regulation power collection error of the West-to-East Power Transmission Units participating in the frequency regulation formed in the power Internet of Things according to the three-dimensional trapezoidal fuzzy set of the frequency regulation power demand and the collection error of the frequency regulation power, and calculate the frequency regulation quotation collection error of the West-to-East Power Transmission Units participating in the frequency regulation formed in the power Internet of Things according to the three-dimensional trapezoidal fuzzy set of the collection error of the frequency regulation price and quotation;

[0137] The fourth calculation unit 204 is used to calculate the information benefit values ​​of the power Internet of Things at the perception layer, the platform layer and the network layer respectively according to a plurality of three-dimensional trapezoidal fuzzy sets of fuzzy uncertainties of different levels of data transmission rate, data bandwidth and data storage sharing scale;

[0138] The fifth calculation unit 205 is used to calculate the information loss value of the frequency regulation transaction caused by the frequency regulation power and quotation collection error of the units participating in the frequency regulation of the West-East Power Transmission, which are formed in the power Internet of Things;

[0139] The sixth calculation unit 206 is used to calculate the average value of the trust of the power Internet of Things in all users in the power Internet of Things for frequency regulation transactions of west-to-east power transmission units based on the information gain value and information loss value of the power Internet of Things at the perception layer, platform layer and network layer.

[0140] In one embodiment, the Internet of Things trust analysis system for frequency regulation trading of West-to-East Power Transmission Units of the present application further includes: an evaluation unit;

[0141] The evaluation unit is used to evaluate the trust level of the power Internet of Things according to the average value of the trust of the power Internet of Things to all users.

[0142] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0143] The terms "first", "second", "third", "fourth", etc. in the specification of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein, for example. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0144] It should be understood that in the present application, "at least one (item)" means one or more, and "plurality" means two or more. "And / or" is used to describe the association relationship of associated objects, indicating that three relationships may exist. For example, "A and / or B" can mean: only A exists, only B exists, and A and B exist at the same time, where A and B can be singular or plural. The character " / " generally indicates that the objects associated before and after are in an "or" relationship. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b or c can mean: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, c can be single or multiple.

[0145] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0146] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0147] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0148] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (full name in English: Read-Only Memory, English abbreviation: ROM), random access memory (full name in English: Random Access Memory, English abbreviation: RAM), disk or optical disk and other media that can store program codes.

[0149] As described above, the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. An Internet of Things trust analysis method for frequency regulation transactions of West-to-East power transmission units, characterized in that: include: According to the frequency regulation price data and frequency regulation power demand data of the power system, as well as the frequency regulation power data and quotation data of the West-East Power Transmission Units participating in the frequency regulation, the three-dimensional trapezoidal fuzzy set of the acquisition error of the frequency regulation price and frequency regulation power demand of the power system during the determined period, and the three-dimensional trapezoidal fuzzy set of the acquisition error of the frequency regulation power and quotation of the West-East Power Transmission Units participating in the frequency regulation are calculated by using the statistical analysis method; According to the data transmission rate, data bandwidth data and data storage sharing scale data of the IoT monitoring data center, a statistical analysis method is used to calculate and determine the three-dimensional trapezoidal fuzzy sets of several fuzzy uncertainties of different levels of data transmission rate, data bandwidth and data storage sharing scale. The frequency regulation power collection error of the West-to-East Power Transmission Units participating in the frequency regulation formed in the power Internet of Things is calculated based on the three-dimensional trapezoidal fuzzy set of frequency regulation power demand and frequency regulation power collection error; the frequency regulation quotation collection error of the West-to-East Power Transmission Units participating in the frequency regulation formed in the power Internet of Things is calculated based on the three-dimensional trapezoidal fuzzy set of frequency regulation price and quotation collection error; According to the three-dimensional trapezoidal fuzzy sets of several fuzzy uncertainties at different levels of data transmission rate, data bandwidth, and data storage sharing scale, the information benefit values ​​of the power Internet of Things at the perception layer, platform layer, and network layer are calculated respectively; According to the frequency regulation power quantity collection error of the West-East Power Transmission units participating in the frequency regulation, and the frequency regulation quotation collection error of the West-East Power Transmission units participating in the frequency regulation, the information loss value of the frequency regulation transaction caused by the frequency regulation power quantity and quotation collection error of the West-East Power Transmission units participating in the frequency regulation formed in the power Internet of Things is calculated respectively; According to the information gain value of the power Internet of Things at the perception layer, platform layer and network layer, as well as the information loss value, the average value of the trust of the power Internet of Things in all users in the power Internet of Things for frequency regulation transactions of west-to-east power transmission units is calculated; in: The three-dimensional trapezoidal fuzzy set calculation of the frequency regulation power collection error of the west-to-east power transmission units participating in the frequency regulation formed in the power Internet of Things based on the frequency regulation power demand and the frequency regulation power collection error specifically includes: The three-dimensional trapezoidal fuzzy set of frequency regulation power demand and frequency regulation power collection error is substituted into the frequency regulation power collection error calculation formula of the West-East Power Transmission Units participating in the frequency regulation, and the frequency regulation power collection error of the West-East Power Transmission Units participating in the frequency regulation formed in the power Internet of Things is calculated. The frequency modulation power acquisition error calculation formula is: In the formula, is the three-dimensional trapezoidal fuzzy set of the acquisition error of the frequency modulation power demand, is the three-dimensional trapezoidal fuzzy set of the acquisition error of the frequency modulation power quantity, represents the union of fuzzy sets; The information benefit values ​​of the power Internet of Things at the perception layer, platform layer and network layer are calculated respectively according to the three-dimensional trapezoidal fuzzy sets of several fuzzy uncertainties of different levels of data transmission rate, data bandwidth and data storage sharing scale, specifically including: Based on the first information benefit calculation formula, the information benefit value of the perception layer is calculated; The first information benefit calculation formula is: R RP1 =E[k Mi M X ]; In the formula, R RP1 Information generated for the power Internet of Things to provide users with data collection in frequency regulation transactions The layer provides a three-dimensional trapezoidal fuzzy set of data collection scale for the West-East Power Transmission Unit; Based on the second information benefit calculation formula, the information benefit value of the platform layer is calculated; The calculation formula of the second information benefit is: The information benefit value formed by 9 fuzzy uncertainty scales: medium, relatively high, high, very high, and extremely high, k DSi S is the unit benefit value brought to users by the data storage sharing of the ith rate provided by the power Internet of Things, Di The i-th three-dimensional trapezoidal fuzzy set for data storage sharing scale; Based on the third information benefit calculation formula, the information benefit value brought by data transmission in the network layer is calculated; The third information benefit calculation formula is: In the formula, R RP3 The information revenue value generated by the power Internet of Things providing data transmission to users in frequency modulation transactions; In order to provide users with the information benefit value formed by data transmission at 9 fuzzy uncertainty rates of very low, very low, low, lower, medium, higher, high, very high and very high, k Dvi is the unit benefit value brought to users by the data transmission rate of the power Internet of Things, v Di is the i-th three-dimensional trapezoidal fuzzy set of daily power generation; Based on the fourth information benefit calculation formula, the information benefit value brought by the data bandwidth in the network layer is calculated; Wherein, the fourth information benefit calculation formula is: The information benefit value formed by 9 fuzzy uncertainty rates, high, high, very high, and extremely high, k DBi B is the unit benefit value brought to users by the data transmission rate of the power Internet of Things, Di is the i-th three-dimensional trapezoidal fuzzy set of daily power generation; The frequency regulation power amount and quotation collection error of the units participating in the frequency regulation of the West-East Power Transmission are calculated respectively according to the frequency regulation power amount and quotation collection error of the units participating in the frequency regulation of the West-East Power Transmission, which will cause the information loss value of the frequency regulation transaction caused by the frequency regulation power amount and quotation collection error of the units participating in the frequency regulation of the West-East Power Transmission formed in the power Internet of Things, specifically including: Substitute the frequency regulation power quantity collection error of the West-East Power Transmission Units participating in the frequency regulation and the frequency regulation quotation collection error of the West-East Power Transmission Units participating in the frequency regulation into the information loss value calculation formula, and calculate the information loss value of the frequency regulation transaction caused by the frequency regulation power quantity and quotation collection error of the West-East Power Transmission Units participating in the frequency regulation formed in the power Internet of Things; The information loss value calculation formula is: Where, L RP The frequency regulation power and quotation collection errors of the West-to-East Power Transmission Units involved in the frequency regulation in the power Internet of Things will cause the information loss value of the frequency regulation transaction; It is the influence coefficient or weight coefficient of the frequency regulation power quantity collection error of the West-to-East Power Transmission Units involved in the frequency regulation formed in the power Internet of Things. It is the unit loss value caused by the frequency regulation power collection error of the West-to-East Power Transmission Units involved in the frequency regulation in the power Internet of Things; It is the influence coefficient or weight coefficient of the frequency regulation quotation collection error of the West-to-East Power Transmission Units involved in the frequency regulation formed in the power Internet of Things. It is the unit loss value caused by the frequency regulation quotation collection error of the West-to-East Power Transmission Units participating in the frequency regulation in the power Internet of Things. To collect the frequency regulation power quantity error of the West-East Power Transmission Units involved in frequency regulation, To collect frequency regulation quotation errors for units participating in frequency regulation of West-East power transmission; According to the information gain value of the power Internet of Things at the perception layer, platform layer and network layer, and the information loss value, the average value of the trust of the power Internet of Things in all users in the power Internet of Things for frequency regulation transactions of the west-to-east power transmission units is calculated, specifically including: Substitute the information gain value of the power Internet of Things at the perception layer, platform layer and network layer, as well as the information loss value, into the average value calculation formula to calculate the average value of the trust of the power Internet of Things in all users in the power Internet of Things for frequency regulation transactions of west-to-east power transmission units; Wherein, the average value calculation formula is: In the formula, B I is the average trust of all users in the power Internet of Things, R RP1 , R RP2 , R RP3 , R RP4 They are the information benefit value of the perception layer, the information benefit value of the platform layer, the information benefit value brought by data transmission in the network layer, and the information benefit value brought by data bandwidth in the network layer. RP is the information loss value.

2. The Internet of Things trust analysis method for frequency regulation trading of West-to-East Power Transmission Units according to claim 1 is characterized in that: According to the information gain value of the power Internet of Things at the perception layer, platform layer and network layer, and the information loss value, the average value of the trust of the power Internet of Things in all users in the power Internet of Things for frequency regulation transactions of the west-to-east power transmission units is calculated, specifically including: The trust level of the power Internet of Things is evaluated based on the average value of the trust of all users of the power Internet of Things.

3. The Internet of Things trust analysis method for frequency regulation trading of West-to-East Power Transmission Units according to claim 1 is characterized in that: According to the frequency regulation power data of the West-East Power Transmission Units participating in frequency regulation, the statistical analysis method is used to calculate the three-dimensional trapezoidal fuzzy set of the acquisition error of the frequency regulation power of the West-East Power Transmission Units participating in frequency regulation during the determined period, specifically including: Using the IoT sensing system, the power market monitoring data center is used to obtain frequency regulation power data of the West-to-East power transmission units involved in frequency regulation; According to the data information of the frequency regulation power of the West-East Power Transmission Units participating in frequency regulation, the statistical analysis method is used to calculate the three-dimensional trapezoidal fuzzy set of the frequency regulation power acquisition error of the West-East Power Transmission Units participating in frequency regulation during the period t. Where t=1,2,...,N RP : In the formula, and are the frequency regulation power acquisition error three-dimensional trapezoidal fuzzy set or the fuzzy number and membership coefficient corresponding to the lower bound, middle bound and upper bound of the three-dimensional trapezoidal fuzzy set for the west-to-east power transmission units participating in frequency regulation in time period t, and They are the fuzzy numbers and membership coefficients corresponding to the lower bound, middle bound and upper bound of the three-dimensional trapezoidal fuzzy set of the frequency regulation power acquisition error of the west-to-east power transmission units participating in frequency regulation in time period t.

4. The Internet of Things trust analysis method for frequency regulation trading of West-to-East Power Transmission Units according to claim 1 is characterized in that: According to the data bandwidth data of the IoT monitoring data center, a statistical analysis method is used to calculate and determine several three-dimensional trapezoidal fuzzy sets of fuzzy uncertainties at different levels of data bandwidth, including: At the network layer of the power Internet of Things, the data bandwidth information is obtained through the Internet of Things monitoring data center, and the statistical analysis method is used to calculate and determine the three-dimensional trapezoidal fuzzy set v of nine fuzzy uncertainties of data bandwidth: extremely low, very low, low, relatively low, medium, relatively high, high, very high, and extremely high. Di , i=1,2,...,9: B Di =(B DiL ,B DiM ,B DiU )=[(B DiL1 ,B DiL2 ,B DiL3 ,B DiL4 ;k DBiL ), (B DiM1 ,B DiM2 ,B DiM3 ,B DiM4 ;k DBiM ), (B DiU1 ,B DiU2 ,B DiU3 ,B DiU4 ;k DBiU )]; In the formula, B Di is the i-th three-dimensional trapezoidal fuzzy set of daily power generation, B DiL , B DiM , B DiU and k DBiL , k DBiM , k DBiU are the fuzzy sets and membership coefficients of the lower, middle and upper bounds of the ith three-dimensional trapezoidal fuzzy set of data bandwidth, respectively. DiLj , B DiMj , B DiUj , j = 1, 2, 3, 4, are the fuzzy numbers of the lower bound, middle bound and upper bound fuzzy sets of the i-th three-dimensional trapezoidal fuzzy set of the data bandwidth respectively.

5. An Internet of Things trust analysis system for frequency regulation transactions of West-to-East power transmission units, characterized in that: include: The first calculation unit is used to calculate the three-dimensional trapezoidal fuzzy set of the acquisition error of the frequency regulation price and the frequency regulation power demand of the power system in a certain period of time, and the three-dimensional trapezoidal fuzzy set of the acquisition error of the frequency regulation power and the quotation of the west-to-east power transmission unit participating in the frequency regulation by using a statistical analysis method according to the frequency regulation price data and the frequency regulation power demand data of the power system, and the frequency regulation power data and quotation data of the west-to-east power transmission unit participating in the frequency regulation; The second calculation unit is used to calculate and determine the data transmission rate, data bandwidth, and data storage sharing scale data of the Internet of Things monitoring data center by using a statistical analysis method, respectively, a number of three-dimensional trapezoidal fuzzy sets of fuzzy uncertainties of different levels of data transmission rate, data bandwidth, and data storage sharing scale; The third calculation unit is used to calculate the frequency regulation power collection error of the West-to-East Power Transmission Units participating in the frequency regulation formed in the power Internet of Things according to the three-dimensional trapezoidal fuzzy set of the frequency regulation power demand and the collection error of the frequency regulation power, and calculate the frequency regulation quotation collection error of the West-to-East Power Transmission Units participating in the frequency regulation formed in the power Internet of Things according to the three-dimensional trapezoidal fuzzy set of the collection error of the frequency regulation price and quotation; The fourth calculation unit is used to calculate the information benefit values ​​of the power Internet of Things at the perception layer, the platform layer and the network layer respectively according to a plurality of three-dimensional trapezoidal fuzzy sets of fuzzy uncertainties of different levels of data transmission rate, data bandwidth and data storage sharing scale; The fifth calculation unit is used to calculate the information loss value of the frequency regulation transaction caused by the frequency regulation power and quotation collection error of the West-to-East Power Transmission Units participating in the frequency regulation formed in the power Internet of Things, according to the frequency regulation power collection error of the West-to-East Power Transmission Units participating in the frequency regulation and the frequency regulation quotation collection error of the West-to-East Power Transmission Units participating in the frequency regulation; A sixth calculation unit is used to calculate the average trust of the power Internet of Things for all users in the power Internet of Things for frequency regulation transactions of west-to-east power transmission units according to the information gain value of the power Internet of Things at the perception layer, the platform layer and the network layer, and the information loss value; in: The third computing unit is specifically used for: The three-dimensional trapezoidal fuzzy set of frequency regulation power demand and frequency regulation power collection error is substituted into the frequency regulation power collection error calculation formula of the West-East Power Transmission Units participating in the frequency regulation, and the frequency regulation power collection error of the West-East Power Transmission Units participating in the frequency regulation formed in the power Internet of Things is calculated. The frequency modulation power acquisition error calculation formula is: In the formula, is the three-dimensional trapezoidal fuzzy set of the acquisition error of the frequency modulation power demand, is the three-dimensional trapezoidal fuzzy set of the acquisition error of the frequency modulation power quantity, represents the union of fuzzy sets; The fourth computing unit is specifically configured to: Based on the first information benefit calculation formula, the information benefit value of the perception layer is calculated; The first information benefit calculation formula is: R RP1 =E[k Mi M X ]; In the formula, R RP1 Information generated for the power Internet of Things to provide users with data collection in frequency regulation transactions The layer provides a three-dimensional trapezoidal fuzzy set of data collection scale for the West-East Power Transmission Unit; Based on the second information benefit calculation formula, the information benefit value of the platform layer is calculated; The calculation formula of the second information benefit is: The information benefit value formed by 9 fuzzy uncertainty scales: medium, relatively high, high, very high, and extremely high, k DSi S is the unit benefit value brought to users by the data storage sharing of the ith rate provided by the power Internet of Things, Di The i-th three-dimensional trapezoidal fuzzy set for data storage sharing scale; Based on the third information benefit calculation formula, the information benefit value brought by data transmission in the network layer is calculated; The third information benefit calculation formula is: The information benefit value formed by 9 fuzzy uncertainty rates, high, high, very high, and extremely high, k Dvi is the unit benefit value brought to users by the data transmission rate of the power Internet of Things, v Di is the i-th three-dimensional trapezoidal fuzzy set of daily power generation; Based on the fourth information benefit calculation formula, the information benefit value brought by the data bandwidth in the network layer is calculated; Wherein, the fourth information benefit calculation formula is: In the formula, R RP4 The information revenue value generated by the power Internet of Things providing data bandwidth to users in frequency modulation transactions; In order to provide users with the information benefit value formed by data transmission at 9 fuzzy uncertainty rates of very low, very low, low, lower, medium, higher, high, very high and very high, k DBi B is the unit benefit value brought to users by the data transmission rate of the power Internet of Things, Di is the i-th three-dimensional trapezoidal fuzzy set of daily power generation; The fifth computing unit is specifically configured to: Substitute the frequency regulation power quantity collection error of the West-East Power Transmission Units participating in the frequency regulation and the frequency regulation quotation collection error of the West-East Power Transmission Units participating in the frequency regulation into the information loss value calculation formula, and calculate the information loss value of the frequency regulation transaction caused by the frequency regulation power quantity and quotation collection error of the West-East Power Transmission Units participating in the frequency regulation formed in the power Internet of Things; The information loss value calculation formula is: Where, L RP The frequency regulation power and quotation collection errors of the West-to-East Power Transmission Units involved in the frequency regulation in the power Internet of Things will cause the information loss value of the frequency regulation transaction; It is the influence coefficient or weight coefficient of the frequency regulation power quantity collection error of the West-to-East Power Transmission Units involved in the frequency regulation formed in the power Internet of Things. It is the unit loss value caused by the frequency regulation power collection error of the West-to-East Power Transmission Units involved in the frequency regulation in the power Internet of Things; It is the influence coefficient or weight coefficient of the frequency regulation quotation collection error of the West-to-East Power Transmission Units involved in the frequency regulation formed in the power Internet of Things. It is the unit loss value caused by the frequency regulation quotation collection error of the West-to-East Power Transmission Units participating in the frequency regulation in the power Internet of Things. To collect the frequency regulation power quantity error of the West-East Power Transmission Units involved in frequency regulation, To collect frequency regulation quotation errors for units participating in frequency regulation of West-East power transmission; The sixth computing unit is specifically configured to: Substitute the information gain value of the power Internet of Things at the perception layer, platform layer and network layer, as well as the information loss value, into the average value calculation formula to calculate the average value of the trust of the power Internet of Things in all users in the power Internet of Things for frequency regulation transactions of west-to-east power transmission units; Wherein, the average value calculation formula is: In the formula, B I is the average trust of all users in the power Internet of Things, R RP1 , R RP2 , R RP3 , R RP4 They are the information benefit value of the perception layer, the information benefit value of the platform layer, the information benefit value brought by data transmission in the network layer, and the information benefit value brought by data bandwidth in the network layer. RP is the information loss value.

6. The Internet of Things trust analysis system for frequency regulation trading of West-to-East power transmission units according to claim 5 is characterized in that: Also includes: The evaluation unit is used to evaluate the trust level of the power Internet of Things according to the average value of the trust of the power Internet of Things to all users.

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