Scheduling strategy generation method and system for fault offshore wind power plant

Abstract

The invention relates to a method and a system for generating a dispatching strategy of a faulty offshore wind farm, and the method comprises the following steps: obtaining the operation data of all offshore wind farms in a preset range, and carrying out the fault diagnosis of all offshore wind farms through a preset fault diagnosis model, thereby obtaining the faulty offshore wind farm; calculating power generation loss and compensation cost of each fault offshore wind plant based on the operation data; an offshore wind plant planning model is constructed, a corresponding objective function is constructed with the purpose of minimizing the total power generation loss of the fault offshore wind plant, constraint conditions are set based on operation data, and the constraint conditions comprise a power constraint, a power grid acceptance constraint, an output constraint and a compensation balance constraint; solving the offshore wind plant planning model by using an interior point method to obtain a scheduling strategy of the faulted offshore wind plant; the scheduling strategy specifically comprises an optimal output distribution scheme of the fault offshore wind plant and a compensation strategy corresponding to the output distribution scheme.

Description

Technical Field

[0001] This application relates to the technical field of power system dispatching, and mainly relates to a method and system for generating a dispatching strategy for a faulty offshore wind farm. Background Art

[0002] With the rapid development of the offshore wind power industry, it has become the mainstream power transmission mode for multiple offshore wind farms to be bundled and connected to the onshore large power grid through booster stations or converter stations. However, due to the harsh environmental conditions near the sea and offshore, as well as the long-term high-load operation of equipment, key facilities such as step-up transformers and switchgear may malfunction. When these devices fail, the power output of the wind farm will be restricted, and it will be unable to transmit electric energy to the power grid according to the normal plan.

[0003] Due to the great differences in factors such as the construction cost, geographical location, and policy subsidies of each offshore wind farm, their on-grid electricity prices vary greatly. When the power output capacity is limited, if no reasonable dispatching coordination is carried out and the output of each wind farm is simply and crudely reduced in proportion, a series of adverse consequences will occur; for wind farms with high on-grid electricity prices, their losses will far exceed those of other wind farms, and this way of reducing output in proportion simply cannot minimize the overall losses of each wind farm.

[0004] For example, the Chinese invention patent with the publication number "CN117081170A" discloses a "Method, Device and Medium for Power System Dispatching of Offshore Wind Farms under Typhoons", which specifically discloses that "a typical scenario set is generated by analyzing typhoon operation information; combined with the longitude and latitude coordinates of typhoon path points, a predicted value sequence of wind speed and wind power is predicted; a risk index, operation constraints and objective function of expected revenue for the operation of offshore wind turbines are established to construct an optimal output model for offshore wind power; an objective function and operation constraint group of the total operation cost of the power system are established to construct an optimization model; the two models are solved to obtain the optimal solution, and the optimal solution is used as the power system dispatching method to dispatch the power system of the offshore wind farm", but this method mainly focuses on generating a typical scenario set based on typhoon operation information to carry out subsequent prediction and model construction, which will cause the offshore wind farm to be unable to cope with diverse actual situations; in addition, this method does not have an advance judgment of faults and corresponding dispatching adjustment strategies. Once a device fails, according to the established dispatching method based on typhoon scenarios, it is impossible to react in a timely and effective manner, which will have a greater impact on the power generation of the wind farm and the stable operation of the power system. Summary of the Invention

[0005] In order to solve the above problems existing in the prior art, this application provides a method and system for generating a dispatching strategy for a faulty offshore wind farm.

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

[0007] On the one hand, the present invention proposes a method for generating a scheduling strategy for a faulty offshore wind farm, and the method includes:

[0008] Obtain the operation data of all offshore wind farms within a preset range, and use a preset fault diagnosis model to perform fault diagnosis on all offshore wind farms to obtain the faulty offshore wind farms; calculate the power generation loss and compensation cost of each faulty offshore wind farm based on the operation data;

[0009] Construct an offshore wind farm planning model, which includes constructing a corresponding objective function with the minimization of the total power generation loss of the faulty offshore wind farms as the goal, and constraint conditions set based on the operation data. The constraint conditions include power constraint, grid acceptance constraint, output constraint, and compensation balance constraint;

[0010] Use the interior point method to solve the offshore wind farm planning model to obtain the scheduling strategy of the faulty offshore wind farms; the scheduling strategy is specifically the optimal output allocation plan of the faulty offshore wind farms and the corresponding compensation strategy for the output allocation plan.

[0011] Preferably, the method further includes data cleaning of the operation data, and the data cleaning includes processing missing values, outliers, and data format standardization.

[0012] Preferably, using a preset fault diagnosis model to perform fault diagnosis on all offshore wind farms specifically includes:

[0013] Calculate the power curve deviation of the offshore wind farm, which is expressed by the formula:

[0014] ΔW a =P a,normal -f(v a );

[0015] In the formula, ΔW a represents the power curve deviation of the a-th offshore wind farm; P a,normal represents the normal output of the a-th offshore wind farm; f() represents the wind speed curve; v a represents the wind speed of the fan of the a-th offshore wind farm; a represents the index value of the a-th offshore wind farm;

[0016] Calculate the step-up transformer of the offshore wind farm, which is expressed by the formula:

[0017]

[0018] In the formula, ΔD a represents the extractable oil temperature change rate of the a-th offshore wind farm; ΔD i,oil represents the change amount of the extractable oil temperature of the a-th offshore wind farm within Δt time; t represents the time;

[0019] If the power curve deviation or the step-up transformer is lower than the preset threshold, the corresponding offshore wind farm is a faulty offshore wind farm.

[0020] Preferably, calculate the power generation loss and compensation cost of each faulty offshore wind farm, specifically:

[0021] The power generation loss is expressed by the formula:

[0022] L i =(P i,normal -P i,limited )×p i +C start-stop,i ×n start-stop,i +C loss,i ×T;

[0023] In the formula, L i represents the power generation loss of the i-th faulty offshore wind farm; P i,normal represents the normal output of the i-th faulty offshore wind farm; P i,limited represents the restricted output of the i-th faulty offshore wind farm; p i represents the on-grid electricity price of the i-th faulty offshore wind farm; C start-stop,i represents the start-stop cost of the fan of the i-th faulty offshore wind farm; n start-stop,i represents the number of start-stops of the i-th faulty offshore wind farm during the dispatching period; C loss,i represents the loss cost of the i-th faulty offshore wind farm; T represents the dispatching period; i represents the index value of the i-th faulty offshore wind farm;

[0024] The compensation cost is expressed by the formula:

[0025]

[0026] In the formula, C j represents the compensation cost of the j-th faulty offshore wind farm with an output less than the preset threshold; α jk represents the compensation coefficient between the j-th faulty offshore wind farm with an output less than the preset threshold and the k-th faulty offshore wind farm with an on-grid electricity price less than the preset threshold; ΔP k represents the increased output of the k-th faulty offshore wind farm with an on-grid electricity price less than the preset threshold; p k represents the on-grid electricity price of the k-th faulty offshore wind farm with an on-grid electricity price less than the preset threshold; j represents the index value of the j-th faulty offshore wind farm with an output less than the preset threshold; k represents the index value of the k-th faulty offshore wind farm with an on-grid electricity price less than the preset threshold; K represents the number of the k-th faulty offshore wind farms with an on-grid electricity price less than the preset threshold.

[0027] Preferably, the objective function is expressed by the formula:

[0028]

[0029] Wherein, L represents the total power generation loss of the faulty offshore wind farm; n represents the number of faulty offshore wind farms; J represents the number of faulty offshore wind farms with power output less than the preset threshold.

[0030] The power constraint is expressed by the formula:

[0031] 0 < P i,limited < P i,max ;

[0032] |P i,limited (t) - P i,limited (t - 1)| ≤ r i,max ;

[0033] Wherein, P i,max represents the maximum power generation capacity of the i-th faulty offshore wind farm; P i,limited (t) represents the restricted power output of the i-th faulty offshore wind farm at time t; r i,max represents the maximum power output change rate of the i-th faulty offshore wind farm.

[0034] The grid acceptance constraint is expressed by the formula:

[0035]

[0036] Wherein, P grid,max represents the upper limit of the total power transmitted from the faulty offshore wind farm to the grid;

[0037] The power output constraint is expressed by the formula:

[0038]

[0039] Wherein, P eq,re represents the remaining transmission capacity of the faulty offshore wind farm;

[0040] The compensation balance constraint is expressed by the formula:

[0041]

[0042] Preferably, the interior point method is used to solve the offshore wind farm planning model, specifically:

[0043] Initialize the candidate power output allocation scheme x = {P i,limited , C j , μ, λ}, where x represents the candidate power output allocation scheme;

[0044] Construct the augmented objective function, which is expressed by the formula:

[0045]

[0046] In the formula, F represents the augmented objective function; μ represents a preset barrier factor; λ represents a preset Lagrange multiplier;

[0047] Solving the augmented objective function is expressed by the formula:

[0048]

[0049]

[0050] In the formula, H represents the Hessian matrix; z represents the index value of the z-th iteration;

[0051] Iteratively solve the process until the maximum number of iterations is reached or the objective function value converges, then stop the iteration to obtain the optimal output power distribution scheme of the faulty offshore wind farm and the compensation strategy corresponding to the optimal output power distribution scheme.

[0052] Preferably, the method further includes adjusting the fan output power of the faulty offshore wind farm according to the optimal output power distribution scheme, and settling the costs according to the compensation strategy corresponding to the optimal output power distribution scheme; monitoring the operation status of the faulty offshore wind farm, the repair progress of the faulty equipment, and the real-time situation of the power grid in real time;

[0053] If a new fault occurs, give a timely feedback, re-plan the distribution scheme, and dynamically adjust the output power and compensation strategy of the faulty offshore wind farm.

[0054] On the other hand, the present invention also proposes a scheduling strategy generation system for a faulty offshore wind farm. The system includes a data acquisition module, a planning model construction module, a model solving module, and a result output module, where:

[0055] The data acquisition module is used to acquire the operation data of all offshore wind farms within a preset range, perform fault diagnosis on all offshore wind farms using a preset fault diagnosis model to obtain the faulty offshore wind farm; calculate the power generation loss and compensation cost of each faulty offshore wind farm based on the operation data; and transmit the operation data, the power generation loss and compensation cost of the faulty offshore wind farm to the planning model construction module;

[0056] The planning model construction module is used to construct an offshore wind farm planning model. The offshore wind farm planning model includes constructing a corresponding objective function with the goal of minimizing the total power generation loss of the faulty offshore wind farm, and constraint conditions set based on the operation data. The constraint conditions include power constraint, grid acceptance constraint, output power constraint, and compensation balance constraint;

[0057] The model solving module is used to solve the offshore wind farm planning model by the interior point method to obtain the scheduling strategy for the faulty offshore wind farm; the scheduling strategy is specifically the optimal output allocation plan for the faulty offshore wind farm and the compensation strategy corresponding to the output allocation plan;

[0058] The result output module is used to display the optimal output allocation plan for the faulty offshore wind farm and the compensation strategy corresponding to the output allocation plan.

[0059] On the other hand, the present invention also proposes 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 generating a scheduling strategy for a faulty offshore wind farm as described in any embodiment of the present invention.

[0060] On the other hand, the present invention also proposes 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 generating a scheduling strategy for a faulty offshore wind farm as described in any embodiment of the present invention.

[0061] Compared with the prior art, the beneficial effects of the present invention are:

[0062] 1) The present invention provides a method and system for generating a scheduling strategy for a faulty offshore wind farm, considering the differences in the on-grid electricity prices of each wind farm and the power generation losses in the case of equipment failures. By optimizing the scheduling algorithm, the output of each wind farm is reasonably coordinated, reducing the overall economic losses of each wind farm under the condition of limited power transmission due to equipment failures and improving the overall economic benefits of the offshore wind farm;

[0063] 2) The present invention provides a method and system for generating a scheduling strategy for a faulty offshore wind farm. Based on the operation data, the power generation losses and compensation costs of each faulty offshore wind farm are calculated, improving the accuracy of quantitative evaluation of economic losses, ensuring the interest balance among wind farms, and avoiding interest conflicts caused by output adjustment; when constructing the offshore wind farm planning model, a corresponding objective function is constructed with the goal of minimizing the total power generation losses of the faulty offshore wind farm, and at the same time, constraint conditions including power constraints, grid acceptance constraints, output constraints, and compensation balance constraints are set, enhancing the comprehensiveness and rationality of the model and improving the reliability of the offshore wind farm and the power grid system;

[0064] 3) The present invention provides a method and system for generating a scheduling strategy for a faulty offshore wind farm. The interior point method is used to solve the offshore wind farm planning model to obtain the scheduling strategy for the faulty offshore wind farm, improving the efficiency and scientificity of the solution and enhancing the adaptability and flexibility of the faulty offshore wind farm to respond to various changing situations. Description of the Drawings

[0065] Figure 1It is the flowchart of the method of the embodiment of the present invention. Detailed implementation manners

[0066] The following is a description of the detailed implementation manners 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 implementation manners. 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 made using the concept of the present invention are within the scope of protection.

[0067] The present invention provides the following technical solution: a method and system for generating a scheduling strategy for a faulty offshore wind farm.

[0068] Embodiment 1

[0069] Specifically refer to Figure 1 , this embodiment provides a method for generating a scheduling strategy for a faulty offshore wind farm, and the specific steps include:

[0070] S1. Obtain the operation data of all offshore wind farms within a preset range;

[0071] The method further includes data cleaning of the operation data, and the data cleaning includes processing missing values, outliers, and data format standardization;

[0072] S2. Use a preset fault diagnosis model to perform fault diagnosis on all offshore wind farms to obtain faulty offshore wind farms;

[0073] Calculate the power curve deviation of the offshore wind farm, which is expressed by the formula:

[0074] ΔW a = P a,normal - f(v a );

[0075] In the formula, ΔW a represents the power curve deviation of the a-th offshore wind farm; P a,normal represents the normal output of the a-th offshore wind farm; f() represents the wind speed curve; v a represents the fan wind speed of the a-th offshore wind farm; a represents the index value of the a-th offshore wind farm;

[0076] Calculate the step-up transformer of the offshore wind farm, which is expressed by the formula:

[0077]

[0078] In the formula, ΔD a represents the extractable oil temperature change rate of the a-th offshore wind farm; ΔD i,oilIt represents the change amount within the extractable oil temperature Δt of the a-th offshore wind farm; t represents the time;

[0079] If the power curve deviation or the step-up transformer is lower than the preset threshold, the corresponding offshore wind farm is a faulty offshore wind farm;

[0080] S3. Calculate the power generation loss and compensation cost of each faulty offshore wind farm based on the operation data;

[0081] S31. The power generation loss is expressed by the formula:

[0082] L i =(P i,normal -P i,limited )×p i +C start-stop,i ×n start-stop,i +C loss,i ×T;

[0083] In the formula, L i represents the power generation loss of the i-th faulty offshore wind farm; P i,normal represents the normal output of the i-th faulty offshore wind farm; P i,limited represents the limited output of the i-th faulty offshore wind farm; p i represents the on-grid electricity price of the i-th faulty offshore wind farm; C start-stop,i represents the start-stop cost of the fan of the i-th faulty offshore wind farm; n start-stop,i represents the start-stop times of the i-th faulty offshore wind farm within the scheduling period; C loss,i represents the loss cost of the i-th faulty offshore wind farm; T represents the scheduling period; i represents the index value of the i-th faulty offshore wind farm;

[0084] In this embodiment, the normal output of the i-th faulty offshore wind farm is 100 MW, the limited output of the i-th faulty offshore wind farm is 60 MW, the on-grid electricity price of the i-th faulty offshore wind farm is 0.7 yuan / kWh, the start-stop cost of the fan of the i-th faulty offshore wind farm once is 4000 yuan, the start-stop times of the i-th faulty offshore wind farm within the scheduling period is 1 time, the loss cost of the i-th faulty offshore wind farm is 150 yuan / hour, and the scheduling period is 4 hours. Then the power generation loss of the i-th faulty offshore wind farm is (100 - 60)×1000×0.7 + 4000×1 + 150×4 = 28000 + 4000 + 600 = 32600 yuan;

[0085] S32. The compensation cost is expressed by the formula:

[0086]

[0087] In the formula, C jDenote the compensation cost of the faulty offshore wind farm where the j-th output power is less than the preset threshold; α jk Denote the compensation coefficient between the faulty offshore wind farm where the j-th output power is less than the preset threshold and the faulty offshore wind farm where the k-th on-grid electricity price is less than the preset threshold; ΔP k Denote the increased output power of the faulty offshore wind farm where the k-th on-grid electricity price is less than the preset threshold; p k Denote the on-grid electricity price of the faulty offshore wind farm where the k-th on-grid electricity price is less than the preset threshold; j denotes the index value of the faulty offshore wind farm where the j-th output power is less than the preset threshold; k denotes the index value of the faulty offshore wind farm where the k-th on-grid electricity price is less than the preset threshold; K denotes the number of faulty offshore wind farms where the k-th on-grid electricity price is less than the preset threshold;

[0088] In this embodiment, the compensation coefficient between the faulty offshore wind farm where the j-th output power is less than the preset threshold and the faulty offshore wind farm where the k-th on-grid electricity price is less than the preset threshold is 0.3, the increased output power of the faulty offshore wind farm where the k-th on-grid electricity price is less than the preset threshold is 10 MW, and the on-grid electricity price of the faulty offshore wind farm where the k-th on-grid electricity price is less than the preset threshold is 0.7 yuan / kWh. Then, the compensation cost of the faulty offshore wind farm where the j-th output power is less than the preset threshold is 0.3×10×1000×0.7 = 2100 yuan;

[0089] S4. Construct an offshore wind farm planning model;

[0090] S41. The offshore wind farm planning model includes constructing a corresponding objective function with the goal of minimizing the total power generation loss of the faulty offshore wind farm, which is expressed by the formula:

[0091]

[0092] In the formula, L represents the total power generation loss of the faulty offshore wind farm; n represents the number of faulty offshore wind farms; J represents the number of faulty offshore wind farms where the output power is less than the preset threshold;

[0093] S42. And constraint conditions set based on operation data, where the constraint conditions include power constraint, grid acceptance constraint, output constraint, and compensation balance constraint;

[0094] The power constraint is expressed by the formula:

[0095] 0 < P i,limited < P i,max ;

[0096] |P i,limited (t) - P i,limited (t - 1)| ≤ r i,max ;

[0097] where P i,max represents the maximum power generation capacity of the i-th faulty offshore wind farm; P i,limited (t) represents the limited output of the i-th faulty offshore wind farm at time t; r i,max represents the maximum output change rate of the i-th faulty offshore wind farm;

[0098] The grid acceptance constraint is expressed by the formula:

[0099]

[0100] where P grid,max represents the upper limit of the total power transmitted from the faulty offshore wind farm to the grid;

[0101] The output constraint is expressed by the formula:

[0102]

[0103] where P eq,re represents the remaining transmission capacity of the faulty offshore wind farm;

[0104] The compensation balance constraint is expressed by the formula:

[0105]

[0106] S5. Use the interior point method to solve the offshore wind farm planning model, and initialize the candidate output allocation scheme x = {P i,limited , C j , μ, λ}, where x represents the candidate output allocation scheme;

[0107] Construct the augmented objective function, which is expressed by the formula:

[0108]

[0109] where F represents the augmented objective function; μ represents the preset barrier factor; λ represents the preset Lagrange multiplier;

[0110] Solve the augmented objective function, which is expressed by the formula:

[0111]

[0112] where H represents the Hessian matrix; z represents the index value of the z-th iteration;

[0113] Iteratively solve the process until the maximum number of iterations is reached or the objective function value converges, then stop the iteration to obtain the scheduling strategy of the faulty offshore wind farm; the scheduling strategy is specifically the optimal output allocation scheme of the faulty offshore wind farm and the compensation strategy corresponding to the output allocation scheme;

[0114] S6. The method further includes adjusting the output of the wind turbines in the faulty offshore wind farm according to the optimal output allocation scheme, and settling the costs according to the compensation strategy corresponding to the optimal output allocation scheme; monitoring in real time the operating status of the faulty offshore wind farm, the repair progress of the faulty equipment, and the real-time situation of the power grid;

[0115] If a new fault occurs, give a timely feedback, re-plan and allocate the scheme, and dynamically adjust the output and compensation strategy of the faulty offshore wind farm.

[0116] Embodiment 2

[0117] This embodiment provides a scheduling strategy generation system for a faulty offshore wind farm. The system includes a data acquisition module, a planning model construction module, a model solving module, and a result output module, where:

[0118] The data acquisition module is used to acquire the operation data of all offshore wind farms within a preset range, perform fault diagnosis on all offshore wind farms using a preset fault diagnosis model to obtain the faulty offshore wind farms; calculate the power generation loss and compensation costs of each faulty offshore wind farm based on the operation data; and transmit the operation data, the power generation loss and compensation costs of the faulty offshore wind farms to the planning model construction module;

[0119] The planning model construction module is used to construct an offshore wind farm planning model. The offshore wind farm planning model includes constructing a corresponding objective function with the goal of minimizing the total power generation loss of the faulty offshore wind farm, and constraint conditions set based on the operation data. The constraint conditions include power constraint, grid acceptance constraint, output constraint, and compensation balance constraint;

[0120] The model solving module is used to solve the offshore wind farm planning model using the interior point method to obtain the scheduling strategy of the faulty offshore wind farm; the scheduling strategy is specifically the optimal output allocation scheme of the faulty offshore wind farm and the compensation strategy corresponding to the output allocation scheme;

[0121] The result output module is used to display the optimal output allocation scheme of the faulty offshore wind farm and the compensation strategy corresponding to the output allocation scheme.

[0122] Embodiment 3

[0123] 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 scheduling strategy generation method for a faulty offshore wind farm as described in any embodiment of the present invention.

[0124] Embodiment 4

[0125] 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 generating a scheduling strategy for a faulty offshore wind farm as described in any embodiment of the present invention.

[0126] It should be noted that the systems, electronic devices, and computer-readable storage media described in the present invention are all based on the same principle as the method described in Embodiment 1, and will not be elaborated herein.

[0127] The above are only the embodiments of the present invention, and do not 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 be equally included in the patent protection scope of the present invention.

Claims

1. A method for generating a scheduling strategy for a faulty offshore wind farm, characterized in that The method includes: Obtain the operation data of all offshore wind farms within a preset range, use a preset fault diagnosis model to perform fault diagnosis on all offshore wind farms, and obtain the faulty offshore wind farms; calculate the power generation loss and compensation cost of each faulty offshore wind farm based on the operation data; Construct an offshore wind farm planning model, where the offshore wind farm planning model includes constructing a corresponding objective function with the goal of minimizing the total power generation loss of the faulty offshore wind farms, and constraint conditions set based on the operation data, and the constraint conditions include power constraints, grid acceptance constraints, output constraints, and compensation balance constraints; Use the interior point method to solve the offshore wind farm planning model to obtain the scheduling strategy of the faulty offshore wind farms; the scheduling strategy is specifically the optimal output allocation plan of the faulty offshore wind farms and the compensation strategy corresponding to the output allocation plan.

2. The method for generating a scheduling strategy for a faulty offshore wind farm according to claim 1, wherein The method further includes data cleaning of the operation data, and the data cleaning includes handling missing values, outliers, and unifying data formats.

3. The method for generating a scheduling strategy for a faulty offshore wind farm according to claim 1, characterized in that, Using the preset fault diagnosis model to perform fault diagnosis on all offshore wind farms specifically includes: Calculate the power curve deviation of the offshore wind farm, which is expressed by the formula: ΔW a = P a,normal - f(v a ); where, ΔW a represents the power curve deviation of the a-th offshore wind farm; P a,normal represents the normal output of the a-th offshore wind farm; f() represents the wind speed curve; v a represents the wind turbine speed of the a-th offshore wind farm; a represents the index value of the a-th offshore wind farm; Calculate the step-up transformer of the offshore wind farm, which is expressed by the formula: where ΔD a represents the extractable oil temperature change rate of the a-th offshore wind farm; ΔD i,oil represents the change amount of the extractable oil temperature within the Δt time of the a-th offshore wind farm; t represents the time; If the power curve deviation or the step-up transformer is lower than a preset threshold, the corresponding offshore wind farm is a faulty offshore wind farm.

4. A method for generating a scheduling strategy for a faulty offshore wind farm according to claim 1, characterized in that, Calculate the power generation loss and compensation cost of each faulty offshore wind farm specifically as: The power generation loss is expressed by the formula: L i = (P i,normal - P i,limited ) × p i + C start-stop,i × n start-stop,i + C loss,i × T; Where, L i represents the power generation loss of the \(i\)-th faulty offshore wind farm; \(P\) i,normal represents the normal output of the \(i\)-th faulty offshore wind farm; \(P\) i,limited represents the limited output of the \(i\)-th faulty offshore wind farm; \(p\) i denote the on-grid electricity price of the \(i\)th faulty offshore wind farm; \(C\) start-stop,i denote the start-stop cost of the wind turbines in the \(i\)th faulty offshore wind farm; \(n\) start-stop,i denote the number of start-stops of the \(i\)th faulty offshore wind farm during the scheduling period; \(C\) loss,i denote the loss cost of the \(i\)th faulty offshore wind farm; T represents the scheduling period; i represents the index value of the i-th faulty offshore wind farm; The compensation cost is expressed by the formula: In the formula, C j represents the compensation cost of the faulty offshore wind farm where the output power of the j-th one is less than the preset threshold; α jk represents the compensation coefficient between the faulty offshore wind farm where the output power of the j-th one is less than the preset threshold and the faulty offshore wind farm where the on-grid electricity price of the k-th one is less than the preset threshold; ΔP k represents the increased output power of the faulty offshore wind farm where the on-grid electricity price of the k-th one is less than the preset threshold; p k represents the on-grid electricity price of the faulty offshore wind farm where the on-grid electricity price of the k-th one is less than the preset threshold; j represents the index value of the faulty offshore wind farm where the output power of the j-th one is less than the preset threshold; k represents the index value of the faulty offshore wind farm where the on-grid electricity price of the k-th one is less than the preset threshold; K represents the number of faulty offshore wind farms where the on-grid electricity price of the k-th one is less than the preset threshold.

5. A method for generating a scheduling strategy for a faulty offshore wind farm according to claim 1, characterized in that, The objective function is expressed by the formula: In the formula, L represents the total power generation loss of the faulty offshore wind farms; n represents the number of faulty offshore wind farms; J represents the number of faulty offshore wind farms with an output less than the preset threshold; The power constraint is expressed by the formula: 0<P i,limited <P i,max ; |P i,limited (t)-P i,limited (t - 1)| ≤ r i,max ; where, P i,max represents the maximum power generation capacity of the \(i\)th faulty offshore wind farm; \(P i,limited (t)\) represents the constrained output of the \(i\)th faulty offshore wind farm at time \(t\); \(r i,max represents the maximum output change rate of the \(i\)th faulty offshore wind farm. The grid acceptance constraint is expressed by the formula: where P grid,max represents the upper limit of the total power transmitted from the faulty offshore wind farm to the power grid; The output constraint is expressed by the formula: where P eq,re represents the remaining transmission capacity of the faulty offshore wind farm; The compensation balance constraint is expressed by the formula:

6. The method for generating a scheduling strategy for a faulty offshore wind farm according to claim 1, characterized in that, Using the interior point method to solve the offshore wind farm planning model specifically includes: Initialize the candidate output allocation scheme \(x = \{P i,limited , C j ,\mu,\lambda\}\), where \(x\) represents the candidate output allocation scheme; Construct an augmented objective function, which is expressed by the formula: In the formula, F represents the augmented objective function; μ represents a preset barrier factor; λ represents a preset Lagrange multiplier; Solve the augmented objective function, which is expressed by the formula: In the formula, H represents the Hessian matrix; z represents the index value of the z-th iteration; Iteratively solve the process until the maximum number of iterations is reached or the objective function value converges, stop the iteration, and obtain the optimal output allocation plan of the faulty offshore wind farms and the compensation strategy corresponding to the optimal output allocation plan.

7. A method for generating a scheduling strategy for a faulty offshore wind farm according to claim 1, characterized in that, The method further includes adjusting the fan output of the faulty offshore wind farms according to the optimal output allocation plan, and settling the costs according to the compensation strategy corresponding to the optimal output allocation plan; Real-time monitor the operation status of the faulty offshore wind farms, the repair progress of the faulty equipment, and the real-time situation of the power grid; If a new fault occurs, give feedback in a timely manner, re-plan the allocation plan, and dynamically adjust the output and compensation strategy of the faulty offshore wind farms.

8. A dispatching strategy generation system for a faulty offshore wind farm, characterized in that, The system includes a data acquisition module, a planning model construction module, a model solution module, and a result output module, where: The data acquisition module is used to acquire the operation data of all offshore wind farms within a preset range, perform fault diagnosis on all offshore wind farms using a preset fault diagnosis model to obtain the faulty offshore wind farms; calculate the power generation loss and compensation cost of each faulty offshore wind farm based on the operation data; and transmit the operation data, the power generation loss, and the compensation cost of the faulty offshore wind farms to the planning model construction module; The planning model construction module is used to construct an offshore wind farm planning model. The offshore wind farm planning model includes a corresponding objective function constructed with the goal of minimizing the total power generation loss of the faulty offshore wind farms, and constraint conditions set based on the operation data. The constraint conditions include power constraints, grid acceptance constraints, output constraints, and compensation balance constraints; The model solution module is used to solve the offshore wind farm planning model using the interior point method to obtain the scheduling strategy of the faulty offshore wind farms; the scheduling strategy is specifically the optimal output allocation plan of the faulty offshore wind farms and the compensation strategy corresponding to the output allocation plan; The result output module is used to display the optimal output allocation plan of the faulty offshore wind farms and the compensation strategy corresponding to the output allocation plan.

9. An electronic device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, When the processor executes the program, it implements a method for generating a scheduling strategy for a faulty offshore wind farm according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements a method for generating a scheduling strategy for a faulty offshore wind farm according to any one of claims 1 to 7.

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