Offshore converter station energy consumption calculation and key factor identification method and system

Abstract

The invention relates to an offshore converter station energy consumption calculation and key factor identification method and system, and the method comprises the following steps: obtaining energy consumption data of offshore converter station energy consumption equipment, and carrying out the preprocessing; the energy consumption equipment comprises a converter valve, a transformer, a cooling system and auxiliary equipment; calculating the energy consumption of each energy consumption device based on the energy consumption data to obtain the total energy consumption of the offshore converter station; wherein the key factors of the energy consumption of the converter valve are identified by using a sensitivity analysis method; identifying key factors of the energy consumption of the transformer by utilizing correlation analysis; identifying a key factor of the energy consumption of the cooling system by using the maximum value of the partial derivative; using an analytic hierarchy process to assist key factors of equipment energy consumption; and formulating an energy-saving and consumption-reducing strategy of the offshore converter station according to the total energy consumption and each key factor of the offshore converter station.

Description

Technical Field

[0001] The present invention relates to the field of offshore power technology, and mainly relates to a method and system for calculating the energy consumption of an offshore converter station and identifying key factors. Background Art

[0002] With the large-scale development and utilization of new energy sources such as offshore wind power, the offshore converter station, as a key hub for power conversion and transmission, its energy consumption problem has attracted increasing attention. Accurately calculating the energy consumption of the offshore converter station and identifying key energy consumption factors are of crucial significance for formulating effective energy-saving and consumption-reducing strategies, improving energy utilization efficiency, and reducing operating costs.

[0003] However, existing energy consumption calculation methods are often relatively general, failing to fully consider the complex operating conditions and equipment characteristics of offshore converter stations, making it difficult to accurately locate key energy consumption factors and unable to meet the requirements of refined energy-saving management.

[0004] For example, CN116599029A, "Method and Device for Judging the Switching State of an Offshore Wind Power Energy Consumption Device", discloses "a method and device for judging the switching state of an offshore wind power energy consumption device, which relates to the field of offshore wind power generation technology. The method includes: monitoring the first operating data of the offshore converter station; obtaining preset judgment parameters; and determining the switching state of the energy consumption device based on the first operating data and the judgment parameters". However, this method only focuses on determining the switching state of the energy consumption device, without involving in-depth analysis related to key energy consumption factors, and has a narrow function coverage range, unable to control the energy consumption situation from the root and conduct energy-saving optimization. In addition, this method only generally mentions the energy consumption device without making a detailed distinction of specific energy-consuming equipment types, which will affect energy consumption control and state judgment. Summary of the Invention

[0005] In order to solve the above problems existing in the prior art, the present application provides a method and system for calculating the energy consumption of an offshore converter station and identifying key factors.

[0006] The technical solution of the present application is as follows:

[0007] On the one hand, the present invention proposes a method for calculating the energy consumption of an offshore converter station and identifying key factors, the method comprising:

[0008] Obtaining the energy consumption data of the energy-consuming equipment of the offshore converter station and performing preprocessing; the energy-consuming equipment includes a converter valve, a transformer, a cooling system, and auxiliary equipment; calculating the energy consumption of each energy-consuming equipment based on the energy consumption data to obtain the total energy consumption of the offshore converter station;

[0009] Among them, the sensitivity analysis method is used to identify the key factors of the converter valve energy consumption; the correlation analysis method is used to identify the key factors of the transformer energy consumption; the maximum value of the partial derivative is used to identify the key factors of the cooling system energy consumption; the analytic hierarchy process is used to assist in identifying the key factors of the equipment energy consumption;

[0010] According to the total energy consumption of the offshore converter station and each key factor, an energy-saving and consumption-reducing strategy for the offshore converter station is formulated.

[0011] Preferably, the energy consumption data includes converter valve data, transformer data, cooling system data, and auxiliary equipment data, where:

[0012] The converter valve data includes operating current, switching frequency, number of semiconductors, on-resistance of the semiconductors, energy loss when the semiconductors turn on, and energy loss when the semiconductors turn off;

[0013] The transformer data includes core loss coefficient, grid frequency, number of transformers, number of windings, core magnetic flux density, preset empirical exponent, winding loss, winding resistance, and winding current;

[0014] The cooling system data includes cooling water pump power, cooling tower fan power, operating time of the cooling water pump, and operating time of the cooling tower fan;

[0015] The auxiliary equipment data includes the cumulative power consumption value of the auxiliary equipment, the rated power of the auxiliary equipment, the number of auxiliary equipment, and the operating time of the auxiliary equipment.

[0016] Preferably, the steps of using the sensitivity analysis method to identify the key factors of the converter valve energy consumption are specifically as follows:

[0017] The converter valve energy consumption is expressed by the formula:

[0018]

[0019] E conv =P cond +P sw ;

[0020] In the formula, E conv represents the converter valve energy consumption; E cond represents the conduction loss; E sw represents the switching loss; R on,i represents the on-resistance of the i-th semiconductor; I i represents the operating current of the i-th semiconductor; t conv represents the working time of the converter valve; f s represents the switching frequency; n represents the number of semiconductors; E on,i represents the energy loss when the i-th semiconductor turns on; E off,iIt represents the energy loss when the i-th semiconductor is turned off; i represents the index value of the i-th semiconductor;

[0021] Construct the sensitivity of the converter valve energy consumption with respect to the switching frequency It is expressed by the formula:

[0022]

[0023] If the sensitivity of the switching frequency is higher than the sensitivity of the preset switching frequency, it indicates that the change of the switching frequency within the preset range will cause large fluctuations in the converter valve energy consumption, which is the key factor of the converter valve energy consumption;

[0024] Construct the sensitivity of the converter valve energy consumption with respect to the switching frequency It is expressed by the formula:

[0025]

[0026] If the sensitivity of the switching frequency is higher than the preset switching frequency sensitivity threshold, it is the key factor of the converter valve energy consumption;

[0027] Construct the sensitivity of the converter valve energy consumption with respect to the operating current It is expressed by the formula:

[0028]

[0029] If the sensitivity of the operating current is higher than the preset operating current sensitivity threshold, it is the key factor of the converter valve energy consumption.

[0030] Preferably, the steps of using correlation analysis to identify the key factors of transformer energy consumption are specifically as follows:

[0031] The transformer energy consumption is expressed by the formula:

[0032] E core =k core ×Tf α ×B β ×t trans ;

[0033]

[0034] E trans =P core +P wind ;

[0035] In the formula, E trans represents the transformer energy consumption; E core represents the core loss; E wind represents the winding loss; k core represents the core loss coefficient; Tfα represents the grid frequency; t trans represents the operating time of the transformer; TR j represents the resistance of the j-th winding; TI j represents the current of the j-th winding; B β represents the core magnetic flux density; α represents the first empirical exponent; β represents the second empirical exponent; m represents the number of windings; j represents the index value of the j-th winding;

[0036] Calculate the correlation coefficient between the core magnetic flux density and the transformer energy consumption, expressed by the formula:

[0037]

[0038] In the formula, represents the correlation coefficient between the core magnetic flux density and the transformer energy consumption; B z represents the core magnetic flux density of the z-th transformer; represents the core magnetic flux density of the z-th transformer; Z represents the number of transformers; z represents the index value of the z-th transformer;

[0039] Calculate the correlation coefficient between the winding current and the transformer energy consumption, expressed by the formula:

[0040]

[0041] In the formula, represents the correlation coefficient between the winding current and the transformer energy consumption; TI z represents the winding current of the z-th transformer; TI represents the winding current of the transformer;

[0042] If then the core magnetic flux density is the key factor of the transformer energy consumption; otherwise, the winding current is the key factor of the transformer energy consumption.

[0043] Preferably, the step of identifying the key factor of the cooling system energy consumption by using the maximum value of the partial derivative is specifically:

[0044] The cooling system energy consumption is expressed by the formula:

[0045] E cool = P pump × t pump + P fan × t fan ;

[0046] In the formula, E cool represents the cooling system energy consumption; P pump represents the power of the cooling water pump; P fan represents the power of the cooling tower fan; t pumpRepresents the running time of the cooling water pump; t fan Represents the running time of the cooling tower fan;

[0047] Derive the power of the cooling water pump and the cooling tower fan. If Then the power of the cooling water pump is the key factor; if Then the power of the cooling tower fan is the key factor.

[0048] Preferably, the steps of identifying the key factors of the energy consumption of auxiliary equipment by using the analytic hierarchy process are specifically as follows:

[0049] The energy consumption of the auxiliary equipment is expressed by the formula:

[0050]

[0051] In the formula, E aux Represents the energy consumption of the auxiliary equipment; P rated,l Represents the rated power of the l-th auxiliary equipment; At l Represents the running time of the l-th auxiliary equipment; L represents the number of auxiliary equipment; l represents the index value of the l-th auxiliary equipment;

[0052] Construct a hierarchical structure model, including an objective layer, a criterion layer, and a scheme layer; among them, the objective layer is specifically the optimization of the energy consumption of auxiliary equipment, the criterion layer is specifically each factor in the data of the auxiliary equipment, and the scheme layer is specifically each specific auxiliary equipment;

[0053] Score the relative importance between every two factors according to the expert scoring table to obtain a judgment matrix; use the eigenvector method to solve the judgment matrix to obtain the weights ω = [ω 1 , ω 2 ,..., ω R ;

[0054] Select the factor corresponding to the largest weight as the key factor of the energy consumption of the auxiliary equipment.

[0055] Preferably, the method further includes monitoring the energy-consuming equipment of the offshore converter station, collecting the energy consumption data of the energy-consuming equipment of the offshore converter station in real time, analyzing the collected energy consumption data, and adjusting the energy consumption threshold of each energy-consuming equipment and the total energy consumption threshold of the offshore converter station in real time;

[0056] If the energy consumption of a certain energy-consuming equipment or the total energy consumption of the offshore converter station exceeds the set threshold, the alarm mechanism will be automatically triggered; the energy consumption data of each energy-consuming equipment, the total energy consumption data of the offshore converter station, and the change of the key factor are displayed in real time, and the energy-saving and consumption-reducing strategy is adjusted in time.

[0057] On the other hand, the present invention also provides a system for calculating the energy consumption of an offshore converter station and identifying key factors, which includes a data acquisition module, a key factor identification module, a strategy formulation module, and a result output module, where:

[0058] The data acquisition module is used to obtain the energy consumption data of the energy-consuming equipment of the offshore converter station and perform preprocessing; the energy-consuming equipment includes converter valves, transformers, cooling systems, and auxiliary equipment; calculate the energy consumption of each equipment based on the energy consumption data to obtain the total energy consumption of the offshore converter station; transmit the energy consumption data and the energy consumption of each equipment to the key factor identification module;

[0059] The key factor identification module is used to identify the key factors of the energy consumption of the converter valve by using the sensitivity analysis method; identify the key factors of the energy consumption of the transformer by using the correlation analysis method; identify the key factors of the energy consumption of the cooling system by using the maximum value of the partial derivative; use the analytic hierarchy process to assist in identifying the key factors of the energy consumption of the auxiliary equipment;

[0060] The strategy formulation module is used to formulate an energy-saving and consumption-reducing strategy for the offshore converter station according to the total energy consumption of the offshore converter station and each key factor;

[0061] The result output module is used to display the energy-saving and consumption-reducing strategy.

[0062] On yet another aspect, the present invention also provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where when the processor executes the program, it implements an energy consumption calculation and key factor identification method for an offshore converter station as described in any one of the embodiments.

[0063] On yet another aspect, the present invention also provides a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, it implements an energy consumption calculation and key factor identification method for an offshore converter station as described in any one of the embodiments.

[0064] Compared with the prior art, the beneficial effects of the present invention are:

[0065] 1) The present invention provides an energy consumption calculation and key factor identification method and system for an offshore converter station. By obtaining the energy consumption data of the energy-consuming equipment of the offshore converter station and using a variety of professional analysis methods to identify the key factors of the energy consumption of different energy-consuming equipment, it improves the accurate control ability of the influencing factors of the energy consumption of the offshore converter station and enhances the data support;

[0066] 2) The present invention provides a method and system for calculating the energy consumption of an offshore converter station and identifying key factors, which use sensitivity analysis, correlation analysis, the maximum value of partial derivatives, and the analytic hierarchy process to identify key factors for different energy-consuming devices respectively, and formulate energy-saving and consumption-reducing strategies based on the total energy consumption and key factors of the offshore converter station, improving the scientificity and effectiveness of energy-saving and consumption-reducing work and the energy utilization efficiency of the offshore converter station;

[0067] 3) The present invention provides a method and system for calculating the energy consumption of an offshore converter station and identifying key factors, which plan energy-saving and consumption-reducing strategies for the offshore converter station based on energy consumption data analysis and accurate identification of key factors, improving the energy efficiency level of the offshore converter station, reducing operating costs, and enhancing the depth and breadth of understanding of the energy consumption situation of the entire offshore converter station. Description of the Drawings

[0068] Figure 1 is the flowchart of the method according to an embodiment of the present invention. Detailed Embodiments

[0069] The following describes the detailed embodiments of the present invention to facilitate those skilled in the art of the present technology to understand the present invention. However, it should be clear that the present invention is not limited to the scope of the detailed embodiments. For those of ordinary skill in the art of the present technology, as long as various changes are within the spirit and scope of the present invention defined and determined by the appended claims, these changes are obvious, and all inventions created using the concept of the present invention are within the scope of protection.

[0070] The present invention provides the following technical solution: a method and system for calculating the energy consumption of an offshore converter station and identifying key factors.

[0071] Embodiment 1

[0072] This embodiment provides a method for calculating the energy consumption of an offshore converter station and identifying key factors, and the specific steps include:

[0073] S1. Obtain the energy consumption data of the energy-consuming devices of the offshore converter station and perform preprocessing; the energy-consuming devices include converter valves, transformers, cooling systems, and auxiliary devices;

[0074] The energy consumption data includes converter valve data, transformer data, cooling system data, and auxiliary device data, where:

[0075] The converter valve data includes operating current, switching frequency, number of semiconductors, on-resistance of semiconductors, energy loss when semiconductors turn on, and energy loss when semiconductors turn off;

[0076] The transformer data includes core loss coefficient, grid frequency, number of transformers, number of windings, core magnetic flux density, preset empirical exponent, winding loss, winding resistance, and winding current;

[0077] The cooling system data includes the power of the cooling water pump, the power of the cooling tower fan, the operating time of the cooling water pump, and the operating time of the cooling tower fan;

[0078] The auxiliary equipment data includes the cumulative power consumption value of the auxiliary equipment, the rated power of the auxiliary equipment, the number of auxiliary equipment, and the operating time of the auxiliary equipment;

[0079] S2. Calculate the energy consumption of each energy-consuming device based on the energy consumption data to obtain the total energy consumption of the offshore converter station;

[0080] S3. Among them, the steps of using the sensitivity analysis method to identify the key factors of the converter valve energy consumption are specifically as follows:

[0081] The converter valve energy consumption is expressed by the formula:

[0082]

[0083] E conv =P cond +P sw ;

[0084] In the formula, E conv represents the converter valve energy consumption; E cond represents the conduction loss; E sw represents the switching loss; R on,i represents the on-resistance of the i-th semiconductor; I i represents the operating current of the i-th semiconductor; t conv represents the working time of the converter valve; f s represents the switching frequency; n represents the number of semiconductors; E on,i represents the energy loss when the i-th semiconductor is turned on; E off,i represents the energy loss when the i-th semiconductor is turned off; i represents the index value of the i-th semiconductor;

[0085] Construct the sensitivity of the converter valve energy consumption with respect to the switching frequency which is expressed by the formula:

[0086]

[0087] If the sensitivity of the switching frequency is higher than the preset switching frequency sensitivity threshold, it is a key factor of the converter valve energy consumption;

[0088] Construct the sensitivity of the converter valve energy consumption with respect to the operating current which is expressed by the formula:

[0089]

[0090] If the sensitivity of the operating current is higher than the preset threshold of the operating current sensitivity, it is a key factor in the energy consumption of the converter valve;

[0091] S4. The steps of using correlation analysis to identify the key factors of transformer energy consumption are specifically as follows:

[0092] The transformer energy consumption is expressed by the formula:

[0093] E core =k core ×Tf α ×B β ×t trans ;

[0094]

[0095] E trans =P core +P wind ;

[0096] In the formula, E trans represents the transformer energy consumption; E core represents the core loss; E wind represents the winding loss; k core represents the core loss coefficient; Tf α represents the grid frequency; t trans represents the working time of the transformer; TR j represents the resistance of the jth winding; TI j represents the current of the jth winding; B β represents the core magnetic flux density; α represents the first empirical exponent; β represents the second empirical exponent; m represents the number of windings; j represents the index value of the jth winding;

[0097] Calculate the correlation coefficient between the core magnetic flux density and the transformer energy consumption, which is expressed by the formula:

[0098]

[0099] In the formula, represents the correlation coefficient between the core magnetic flux density and the transformer energy consumption; B z represents the core magnetic flux density of the zth transformer; represents the core magnetic flux density of the zth transformer; Z represents the number of transformers; z represents the index value of the zth transformer;

[0100] Calculate the correlation coefficient between the winding current and the transformer energy consumption, which is expressed by the formula:

[0101]

[0102] In the formula, Represents the correlation coefficient between the winding current and the transformer energy consumption; TI z Represents the winding current of the z-th transformer; TI represents the winding current of the transformer;

[0103] If Then the core magnetic flux density is the key factor of the transformer energy consumption; otherwise, the winding current is the key factor of the transformer energy consumption;

[0104] S5. The steps of identifying the key factor of the cooling system energy consumption by using the maximum value of the partial derivative are specifically as follows:

[0105] The energy consumption of the cooling system is expressed by the formula:

[0106] E cool =P pump ×t pump +P fan ×t fan ;

[0107] In the formula, E cool Represents the energy consumption of the cooling system; P pump Represents the power of the cooling water pump; P fan Represents the power of the cooling tower fan; t pump Represents the running time of the cooling water pump; t fan Represents the running time of the cooling tower fan;

[0108] Derive the power of the cooling water pump and the power of the cooling tower fan. If Then the power of the cooling water pump is the key factor; if Then the power of the cooling tower fan is the key factor;

[0109] S6. The steps of identifying the key factor of the auxiliary equipment energy consumption by using the analytic hierarchy process are specifically as follows:

[0110] The energy consumption of the auxiliary equipment is expressed by the formula:

[0111]

[0112] In the formula, E aux Represents the energy consumption of the auxiliary equipment; P rated,l Represents the rated power of the l-th auxiliary equipment; At l Represents the running time of the l-th auxiliary equipment; L represents the number of auxiliary equipment; l represents the index value of the l-th auxiliary equipment;

[0113] Construct a hierarchical model, including an objective layer, a criterion layer, and a solution layer; where the objective layer is specifically the optimization of the energy consumption of auxiliary equipment, the criterion layer is specifically each factor in the data of the auxiliary equipment, and the factors include the cumulative value of the power consumption of the auxiliary equipment, the rated power of the auxiliary equipment, the number of auxiliary equipment, and the operating time of the auxiliary equipment; the solution layer is specifically each specific auxiliary equipment.

[0114] Score the relative importance between every two factors according to the expert scoring table to obtain a judgment matrix; use the eigenvector method to solve the judgment matrix to obtain the weights ω = [ω 1 , ω 2 ,..., ω R ;

[0115] Select the factor corresponding to the largest weight as the key factor for the energy consumption of the auxiliary equipment.

[0116] S7. The method further includes monitoring the energy-consuming equipment of the offshore converter station, collecting the energy consumption data of the energy-consuming equipment of the offshore converter station in real time, analyzing the collected energy consumption data, and adjusting the energy consumption threshold of each energy-consuming equipment and the total energy consumption threshold of the offshore converter station in real time.

[0117] If the energy consumption of a certain energy-consuming equipment or the total energy consumption of the offshore converter station exceeds the set threshold, the alarm mechanism will be automatically triggered; display the energy consumption data of each energy-consuming equipment, the total energy consumption data of the offshore converter station, and the change of the key factor in real time, and adjust the energy-saving and consumption-reducing strategy in time.

[0118] S8. Develop an energy-saving and consumption-reducing strategy for the offshore converter station according to the total energy consumption of the offshore converter station and each key factor; the key factor is specifically the key factor affecting the energy consumption of the energy-consuming equipment.

[0119] If the key factor of the converter valve is the switching frequency, by adjusting the switching frequency and reducing the number of switchings, the energy consumption of the converter valve can be reduced; if the key factor of the converter valve is the operating current, by controlling the magnitude of the operating current and reducing the operating current loss, the energy consumption of the converter valve can be reduced.

[0120] If the key factor of the transformer is the core magnetic flux density, by adjusting the operating parameters and reducing the core loss, the energy consumption of the transformer can be reduced; if the key factor of the transformer is the winding current, by controlling the magnitude of the winding current and reducing the winding current loss, the energy consumption of the transformer can be reduced.

[0121] If the key factor of the cooling system is the cooling water pump power, by adjusting the cooling water pump power, the energy consumption of the cooling system can be reduced; if the key factor of the cooling system is the cooling tower fan power, by adjusting the cooling tower fan power, the energy consumption of the cooling system can be reduced.

[0122] Specifically adjusting the corresponding key factors according to the key factors of the auxiliary equipment can reduce the energy consumption of the auxiliary equipment.

[0123] Embodiment 2

[0124] This embodiment provides a system for calculating the energy consumption of an offshore converter station and identifying key factors, characterized in that the system includes a data acquisition module, a key factor identification module, a strategy formulation module, and a result output module, where:

[0125] The data acquisition module is used to acquire the energy consumption data of the energy-consuming equipment of the offshore converter station and perform preprocessing; the energy-consuming equipment includes converter valves, transformers, cooling systems, and auxiliary equipment; based on the energy consumption data, calculate the energy consumption of each energy-consuming equipment to obtain the total energy consumption of the offshore converter station; transmit the energy consumption data and the energy consumption of each equipment to the key factor identification module;

[0126] The key factor identification module is used to identify the key factors of the energy consumption of the converter valve by using the sensitivity analysis method; identify the key factors of the energy consumption of the transformer by using the correlation analysis method; identify the key factors of the energy consumption of the cooling system by using the maximum value of the partial derivative; and identify the key factors of the energy consumption of the auxiliary equipment by using the analytic hierarchy process.

[0127] The strategy formulation module is used to formulate an energy-saving and consumption-reducing strategy for the offshore converter station according to the total energy consumption of the offshore converter station and each key factor.

[0128] The result output module is used to display the energy-saving and consumption-reducing strategy.

[0129] Embodiment 3

[0130] This embodiment provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, it implements a method for calculating the energy consumption of an offshore converter station and identifying key factors as described in any embodiment of the present invention.

[0131] Embodiment 4

[0132] This embodiment provides a computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, it implements a method for calculating the energy consumption of an offshore converter station and identifying key factors as described in any embodiment of the present invention.

[0133] It should be noted that the system, electronic device, and computer-readable storage medium described in the present invention are all based on the same principle as the method described in Embodiment 1, and will not be elaborated here.

[0134] The above are only embodiments of the present invention, and do not thus limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made by using the content of the specification and drawings of the present invention, or directly or indirectly applied in other related technical fields, shall similarly be included within the patent protection scope of the present invention.

Claims

1. A method for calculating energy consumption and identifying key factors of an offshore converter station, characterized in that: The method comprises: Obtaining energy consumption data of energy-consuming equipment of the offshore converter station and performing preprocessing; the energy-consuming equipment includes converter valves, transformers, cooling systems and auxiliary equipment; calculating the energy consumption of each energy-consuming equipment based on the energy consumption data to obtain the total energy consumption of the offshore converter station; Among them, the sensitivity analysis method is used to identify the key factors of converter valve energy consumption; the correlation analysis is used to identify the key factors of transformer energy consumption; the maximum value of partial derivatives is used to identify the key factors of cooling system energy consumption; the hierarchical analysis method is used to identify the key factors of auxiliary equipment energy consumption; According to the total energy consumption and key factors of the offshore converter station, an energy-saving and consumption-reducing strategy for the offshore converter station is formulated.

2. A method for calculating energy consumption and identifying key factors of an offshore converter station according to claim 1, characterized in that: The energy consumption data includes converter valve data, transformer data, cooling system data and auxiliary equipment data, wherein: The converter valve data includes operating current, switching frequency, number of semiconductors, on-resistance of semiconductors, energy loss when semiconductors are turned on, and energy loss when semiconductors are turned off; The transformer data includes core loss coefficient, grid frequency, number of transformers, number of windings, core flux density, preset empirical index, winding loss, winding resistance and winding current; The cooling system data includes cooling water pump power, cooling tower fan power, cooling water pump operating time and cooling tower fan operating time; The auxiliary equipment data includes the cumulative power consumption value of the auxiliary equipment, the rated power of the auxiliary equipment, the number of auxiliary equipment and the operating time of the auxiliary equipment.

3. The method for calculating energy consumption and identifying key factors of an offshore converter station according to claim 1, characterized in that: The steps of using the sensitivity analysis method to identify the key factors of converter valve energy consumption are specifically as follows: The energy consumption of the converter valve is expressed by the formula: E conv =P cond +P sw ; In the formula, E conv Indicates the energy consumption of the converter valve; E cond Represents conduction loss; E sw Represents switching loss; R on,i represents the on-resistance of the i-th semiconductor; I i represents the operating current of the ith semiconductor; t conv Indicates the working time of the converter valve; f s represents the switching frequency; n represents the number of semiconductors; E on,i represents the energy loss when the i-th semiconductor is turned on; E off,i represents the energy loss when the i-th semiconductor is turned off; i represents the index value of the i-th semiconductor; Constructing the sensitivity of the converter valve energy consumption to the switching frequency It is expressed as: If the switching frequency sensitivity is higher than a preset switching frequency sensitivity threshold, it is a key factor of the converter valve energy consumption; Constructing the sensitivity of the converter valve energy consumption to the operating current It is expressed as: If the sensitivity of the operating current is higher than a preset operating current sensitivity threshold, it is a key factor of the energy consumption of the converter valve.

4. The method for calculating energy consumption and identifying key factors of an offshore converter station according to claim 1, characterized in that: The steps of using correlation analysis to identify the key factors of transformer energy consumption are specifically as follows: The transformer energy consumption is expressed as: E core =k core ×Tf α ×B β ×t trans ; E trans =P core +P wind ; In the formula, E trans Indicates transformer energy consumption; E core Indicates core loss; E wind Represents winding loss; k core Indicates the core loss factor; Tf α Indicates the grid frequency; t trans Indicates the working time of the transformer; TR j represents the resistance of the jth winding; TI j represents the jth winding current; B β represents the core magnetic flux density; α represents the first empirical index; β represents the second empirical index; m represents the number of windings; j represents the index value of the jth winding; Calculate the correlation coefficient between the core flux density and the transformer energy consumption, expressed as: In the formula, Represents the correlation coefficient between the core flux density and the transformer energy consumption; B z represents the core flux density of the z-th transformer; represents the core flux density of the z-th transformer; Z represents the number of transformers; z represents the index value of the z-th transformer; Calculate the correlation coefficient between winding current and transformer energy consumption, expressed as: In the formula, Represents the correlation coefficient between winding current and transformer energy consumption; TI z represents the winding current of the zth transformer; TI represents the winding current of the transformer; like Then the core magnetic flux density is the key factor of transformer energy consumption; otherwise, the winding current is the key factor of transformer energy consumption.

5. The method for calculating energy consumption and identifying key factors of an offshore converter station according to claim 1, characterized in that: The step of using the maximum value of the partial derivative to identify the key factors of the energy consumption of the cooling system is specifically as follows: The energy consumption of the cooling system is expressed as: E cool =P pump ×t pump +P fan ×t fan ; In the formula, E cool Indicates the energy consumption of the cooling system; P pump Indicates the cooling water pump power; P fan Indicates the cooling tower fan power; t pump Indicates the running time of the cooling water pump; t fan Indicates the running time of the cooling tower fan; Derivative the cooling water pump power and cooling tower fan power, if The cooling water pump power is the key factor; if The cooling tower fan power is the key factor.

6. The method for calculating energy consumption and identifying key factors of an offshore converter station according to claim 1, characterized in that: The steps of using the analytic hierarchy process to identify the key factors of auxiliary equipment energy consumption are specifically as follows: The energy consumption of the auxiliary equipment is expressed by the formula: In the formula, E aux Indicates the energy consumption of auxiliary equipment; P rated,l Indicates the rated power of the lth auxiliary equipment; At l represents the running time of the lth auxiliary device; L represents the number of auxiliary devices; l represents the index value of the lth auxiliary device; Constructing a hierarchical model, including a target layer, a criterion layer and a solution layer; wherein the target layer is specifically the energy consumption optimization of auxiliary equipment, the criterion layer is specifically each factor in the auxiliary equipment data, and the solution layer is specifically each specific auxiliary equipment; According to the expert scoring table, the relative importance between each two factors is scored to obtain a judgment matrix; the eigenvector method is used to solve the judgment matrix to obtain the weight of each factor ω=[ω1,ω2,...,ω R ]; The factor corresponding to the largest weight is selected as the key factor of auxiliary equipment energy consumption.

7. The method for calculating energy consumption and identifying key factors of an offshore converter station according to claim 1, characterized in that: The method further includes monitoring the energy-consuming equipment of the offshore converter station, collecting energy consumption data of the energy-consuming equipment of the offshore converter station in real time, analyzing the collected energy consumption data, and adjusting the energy consumption threshold of each energy-consuming equipment and the total energy consumption threshold of the offshore converter station in real time; If the energy consumption of a certain energy-consuming device or the total energy consumption of the offshore converter station exceeds the set threshold, the alarm mechanism will be automatically triggered; the energy consumption data of each energy-consuming device, the total energy consumption data of the offshore converter station and the changes in key factors will be displayed in real time, and the energy-saving and consumption-reduction strategies can be adjusted in time.

8. An offshore converter station energy consumption calculation and key factor identification system, characterized in that: The system includes a data acquisition module, a key factor identification module, a strategy formulation module and a result output module, wherein: The data acquisition module is used to acquire energy consumption data of energy-consuming equipment in the offshore converter station and perform preprocessing; the energy-consuming equipment includes converter valves, transformers, cooling systems and auxiliary equipment; based on the energy consumption data, the energy consumption of each device is calculated to obtain the total energy consumption of the offshore converter station; the energy consumption data and the energy consumption of each device are transmitted to the key factor identification module; The key factor identification module is used to identify the key factors of converter valve energy consumption using sensitivity analysis; identify the key factors of transformer energy consumption using correlation analysis; identify the key factors of cooling system energy consumption using the maximum value of partial derivatives; and identify the key factors of auxiliary equipment energy consumption using hierarchical analysis method; The strategy formulation module is used to formulate an energy-saving and consumption-reducing strategy for the offshore converter station according to the total energy consumption and key factors of the offshore converter station; The result output module is used to display energy-saving and consumption-reducing strategies.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the method for calculating energy consumption and identifying key factors of an offshore converter station as described in any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method for calculating energy consumption and identifying key factors of an offshore converter station as described in any one of claims 1 to 7 is implemented.

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