Offshore wind power grid-connected offshore oil and gas field power grid dispatching method under adaptive control mode

Abstract

The present invention provides an offshore wind power grid-connected offshore oil and gas field power grid dispatching method under an adaptive control mode, which relates to the technical field of microgrids. The method comprises: obtaining the operating parameters of the wind turbines of the offshore oil and gas field power grid, wherein the target dispatching cycle comprises a plurality of dispatching periods; constructing constraint conditions based on the operating parameters of the wind turbines and the parameters of the power generation system of the offshore oil and gas field power grid, wherein the constraint conditions constrain the operating parameters of the generator sets in the offshore oil and gas field power grid, wherein the operating parameters of the generator sets comprise the start and stop states of the generator sets in each dispatching period and the coordinated control mode; solving the target optimization function based on the constraint conditions, obtaining the day-ahead dispatching strategy of the offshore oil and gas field power grid in the target dispatching cycle, wherein the day-ahead dispatching strategy comprises the operating parameters of the generator sets, and the optimization target of the target optimization function is to minimize the operating cost of the offshore oil and gas field power grid in the target dispatching cycle. The present invention can realize the offshore wind power consumption on the basis of ensuring the frequency safety of the system.

Description

Technical Field

[0001] The present invention relates to the field of microgrids, and in particular to a method for dispatching offshore wind power grids connected to offshore oil and gas fields under an adaptive control mode. Background Art

[0002] With the growth of energy demand and the need for green and low-carbon development, the integration of offshore oil and gas fields and offshore wind power has become a new trend. Offshore oil and gas fields have become offshore integrated energy systems (OIES) that are synergistically powered by offshore wind power and turbine generator sets and operate in an isolated island mode. Frequency security is a prerequisite for ensuring the safe and stable operation of OIES and has become one of the key factors limiting the absorption of offshore wind power.

[0003] Offshore wind power has natural uncertainty. Affected by the uncertainty of offshore wind power, it will have a large fluctuation impact on the frequency of offshore oil and gas fields. At the same time, OIES's demand for hot standby is also time-varying. Therefore, during the operation of the offshore oil and gas field power grid, sufficient hot standby needs to be reserved to participate in frequency regulation. The control mode and operating parameters of the turbine generator set have become key factors affecting the frequency response capability of the system. However, the existing technology only has traditional scheduling strategies designed for stable source-load relationships, which do not take into account the control mode and operating parameters of the generator set on the frequency and hot standby capacity of offshore oil and gas fields. It is difficult to take into account both offshore wind power consumption and system frequency safety. Summary of the invention

[0004] The present invention provides a method for dispatching offshore wind power grid-connected to offshore oil and gas fields under an adaptive control mode, so as to solve the defect that the traditional dispatching strategy designed for stable load-source relationship in the prior art is difficult to take into account both offshore wind power consumption and system frequency safety at the same time, realize the adaptive selection of the generator set control mode, arrange the start and stop plan of the generator set more reasonably, and carry out offshore wind power consumption on the basis of ensuring the system frequency safety.

[0005] The present invention provides a method for offshore wind power grid connection and offshore oil and gas field grid dispatching in an adaptive control mode, the method comprising:

[0006] Acquire operating parameters of a wind turbine generator set of an offshore oil and gas field power grid, wherein the operating parameters of the wind turbine generator set include an upper limit of an output power of the wind turbine generator set and a power fluctuation ratio of the wind turbine generator set within a target scheduling period, wherein the target scheduling period includes a plurality of scheduling periods;

[0007] Based on the operating parameters of the wind turbines and the parameters of the power generation system of the offshore oil and gas field power grid, the constraints are constructed, and the constraints constrain the operating parameters of each generator set in the offshore oil and gas field power grid. The operating parameters of the generator set include the start and stop states of each generator set in each scheduling period and the coordinated control mode, and the coordinated control mode includes ISOCH mode and DROOP mode;

[0008] The target optimization function is solved based on the constraint conditions to obtain the day-ahead scheduling strategy of the offshore oil and gas field power grid within the target scheduling period, wherein the day-ahead scheduling strategy includes the operating parameters of the generator set, wherein the optimization objective of the target optimization function is to minimize the operating cost of the offshore oil and gas field power grid within the target scheduling period.

[0009] According to a method for dispatching offshore wind power grid-connected offshore oil and gas field power grids in an adaptive control mode provided by the present invention, the constraint condition includes a first constraint condition, and the first constraint condition is used to constrain the maximum frequency deviation of the power generation system to be within a production safety range when the wind turbine is in a normal operating state and a fault disconnected state;

[0010] The first constraint condition is:

[0011] ;

[0012] ;

[0013] in, represents the maximum frequency deviation of the power generation system under the normal operation of the wind turbine generator set, It represents the maximum frequency deviation of the power generation system when the wind turbine generator set is in a faulty and grid-off state.

[0014] According to a method for dispatching offshore wind power grid-connected offshore oil and gas field power grid in an adaptive control mode provided by the present invention, the constraint conditions are constructed based on the operating parameters of the wind turbine and the parameters of the power generation system of the offshore oil and gas field power grid, including:

[0015] The first constraint condition is converted into a linear constraint condition by using multiple plane approximate fitting, and the linear constraint condition is:

[0016] ;

[0017] ;

[0018] ;

[0019] ;

[0020] Wherein, H is the inertia time parameter of the power generation system, is the speed regulation integral coefficient of the power generation system, is the prime mover time constant of the power generation system, , , , , , is the fitting parameter, represents the upper limit of the output power of the wind turbine, It represents the power fluctuation ratio of the wind turbine generator set within the target scheduling period.

[0021] According to a method for dispatching offshore wind power grid-connected offshore oil and gas field power grids in an adaptive control mode provided by the present invention, the constraint condition includes a second constraint condition, and the second constraint condition is used to constrain the steady-state frequency deviation of the power generation system in the state where the wind turbine fails and is off-grid to be within a production safety range;

[0022] The second constraint is:

[0023] ;

[0024] in represents the steady-state frequency deviation of the power generation system when the wind turbine generator set fails and is disconnected from the grid, Represents the upper boundary of the steady-state deviation.

[0025] According to a method for dispatching offshore wind power grid-connected offshore oil and gas field power grids in an adaptive control mode provided by the present invention, the constraint condition includes a third constraint condition, and the third constraint condition is used to constrain the feasibility of the hot standby capacity of the power generation system;

[0026] The third constraint condition is:

[0027] ;

[0028] ;

[0029] ;

[0030] ;

[0031] in, Indicates the generator set The start and stop status in the sp-th scheduling period, Indicates the generator set Start in the sp-th scheduling period, Indicates the generator set Shut down in the sp-th scheduling period, Indicates the generator set The lower limit of active power, Indicates the generator set The upper limit of active power, Indicates the generator set The active power in the sp-th scheduling period, is the generator set in the sp-th dispatch period Downward reserve capacity; is the generator set in the sp-th dispatch period The increase of reserve capacity; Indicates the generator set in the sp-th dispatch period The operating mode, Indicates the generator set in the sp-th dispatch period Running in ISOCH mode, Indicates the generator set in the sp-th dispatch period Running in DROOP mode, represents the set of power stations in the offshore oil and gas field power grid, , represents the set of generator sets in the power station st, and , , Indicates whether there is a generator set in ISOCH operation mode in the power station during the sp scheduling period, Indicates that in the sp scheduling period, the generator set in the power station st is allowed to operate in ISOCH mode. It means that all the generator sets in the power station st must operate in DROOP mode during the sp scheduling period.

[0032] According to a method for dispatching offshore wind power grid-connected offshore oil and gas fields in an adaptive control mode provided by the present invention, the constraint condition includes a fourth constraint condition, and the fourth constraint condition is used to constrain the downward adjustment of the hot reserve capacity of the power generation system to meet the system load fluctuation demand;

[0033] The fourth constraint condition is:

[0034] ;

[0035] in, To lower the hot standby load factor, represents the load in the sp-th scheduling period .

[0036] The present invention also provides an offshore wind power grid-connected offshore oil and gas field power grid dispatching device in an adaptive control mode, the device comprising:

[0037] A wind power parameter acquisition module, used to acquire the operating parameters of the wind turbine set of the offshore oil and gas field power grid, wherein the operating parameters of the wind turbine set include the upper limit of the output power of the wind turbine set and the power fluctuation ratio of the wind turbine set within a target scheduling period, wherein the target scheduling period includes multiple scheduling periods;

[0038] A constraint condition construction module, used to construct constraint conditions based on the operating parameters of the wind turbine and the parameters of the power generation system of the offshore oil and gas field power grid, wherein the constraint conditions constrain the operating parameters of each generator set in the offshore oil and gas field power grid, wherein the operating parameters of the generator set include the start and stop states of each generator set in each scheduling period and the coordinated control mode, wherein the coordinated control mode includes the ISOCH mode and the DROOP mode;

[0039] The target optimization module is used to solve the target optimization function based on the constraint conditions to obtain the day-ahead scheduling strategy of the offshore oil and gas field power grid within the target scheduling period, wherein the day-ahead scheduling strategy includes the operating parameters of the generator set, wherein the optimization target of the target optimization function is to minimize the operating cost of the offshore oil and gas field power grid within the target scheduling period.

[0040] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method for offshore wind power grid-connected offshore oil and gas field power grid scheduling under any of the above-mentioned adaptive control modes is implemented.

[0041] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the method for offshore wind power grid-connected offshore oil and gas field power grid scheduling in any of the above-mentioned adaptive control modes is implemented.

[0042] The present invention also provides a computer program product, including a computer program, which, when executed by a processor, implements the offshore wind power grid-connected offshore oil and gas field power grid dispatching method under any of the above-mentioned adaptive control modes.

[0043] The method for dispatching offshore wind power grid-connected to offshore oil and gas field power grid under an adaptive control mode provided by the present invention is used to constrain the operating parameters of each generator set in the offshore oil and gas field power grid through the operating parameters of the wind turbine set connected to the offshore oil and gas field power grid and the parameters of the power generation system of the offshore oil and gas field power grid. The operating parameters of the generator set include the start and stop states of the generator set in each dispatching period and the collaborative control mode. Based on the constraint conditions, a target optimization function with the lowest operating cost of the offshore oil and gas field power grid in the target dispatching period as the optimization target is solved, and the day-ahead dispatching strategy of the offshore oil and gas field power grid in the target dispatching period is obtained, so as to realize the adaptive selection of the control mode of the generator set, and can more reasonably arrange the start and stop plan of the generator set, so as to consume offshore wind power on the basis of ensuring the frequency safety of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0045] Figure 1 It is a flow chart of the offshore wind power grid-connected offshore oil and gas field power grid dispatching method under the adaptive control mode provided by the present invention.

[0046] Figure 2 This is a schematic diagram of the frequency index in the offshore wind power grid-connected offshore oil and gas field grid dispatching method under the adaptive control mode provided by the present invention. Figure 1 .

[0047] Figure 3 It is a schematic diagram of the oil and gas field system structure in a simulation experiment of an offshore wind power grid-connected offshore oil and gas field power grid dispatching method under an adaptive control mode provided by the present invention.

[0048] Figure 4 This is a schematic diagram of the simulation experiment effect of the offshore wind power grid-connected offshore oil and gas field grid dispatching method under the adaptive control mode provided by the present invention. Figure 1 .

[0049] Figure 5 This is a schematic diagram of the simulation experiment effect of the offshore wind power grid-connected offshore oil and gas field grid dispatching method under the adaptive control mode provided by the present invention. Figure 2 .

[0050] Figure 6 This is a schematic diagram of the simulation experiment effect of the offshore wind power grid-connected offshore oil and gas field grid dispatching method under the adaptive control mode provided by the present invention. Figure 3 .

[0051] Figure 7 It is a structural schematic diagram of an offshore wind power grid-connected offshore oil and gas field power grid dispatching device under an adaptive control mode provided by the present invention.

[0052] Figure 8 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0053] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0054] Combine the following Figure 1-6 The present invention describes a method for offshore wind power grid connection and offshore oil and gas field grid dispatching in an adaptive control mode. Figure 1 As shown, the offshore wind power grid-connected offshore oil and gas field grid dispatching method under the adaptive control mode provided by the present invention comprises the following steps:

[0055] S110, obtaining operating parameters of a wind turbine generator set of an offshore oil and gas field power grid, the operating parameters of the wind turbine generator set including an upper limit of an output power of the wind turbine generator set and a power fluctuation ratio of the wind turbine generator set within a target scheduling period, the target scheduling period including multiple scheduling periods;

[0056] S120, constructing constraint conditions based on the operating parameters of the wind turbines and the parameters of the power generation system of the offshore oil and gas field power grid, wherein the constraint conditions constrain the operating parameters of each generator set in the offshore oil and gas field power grid, wherein the operating parameters of the generator set include the start and stop states of each generator set in each scheduling period and the coordinated control mode, wherein the coordinated control mode includes the ISOCH mode and the DROOP mode;

[0057] S130, solving the target optimization function based on the constraint conditions to obtain the day-ahead scheduling strategy of the offshore oil and gas field power grid within the target scheduling period, the day-ahead scheduling strategy including the optimization target of the target optimization parameters of the operating parameters of the generator set to minimize the operating cost of the offshore oil and gas field power grid within the target scheduling period.

[0058] In the method provided by the present invention, the power generation system of the offshore oil and gas field power grid includes multiple generator sets and is connected to wind power. The generator set is a turbine generator set, which can be a fuel generator set or a gas generator set. In the method provided by the present invention, the operating parameters of the wind turbine set connected to the offshore oil and gas field power grid and the parameters of the power generation system of the offshore oil and gas field power grid are used to constrain the operating parameters of each generator set in the offshore oil and gas field power grid. The operating parameters of the generator set include the start and stop status of the generator set in each scheduling period and the coordinated control mode. Based on the constraint conditions, the target optimization function with the lowest operating cost of the offshore oil and gas field power grid in the target scheduling period as the optimization target is solved, and the day-ahead scheduling strategy of the offshore oil and gas field power grid in the target scheduling period is obtained, so as to realize the adaptive selection of the control mode of the generator set, and can arrange the start and stop plan of the generator set more reasonably, and absorb the offshore wind power on the basis of ensuring the frequency safety of the system.

[0059] Specifically, the upper limit of the output power in the operating parameters of the wind turbine in the offshore oil and gas field power grid is an inherent attribute parameter of the wind turbine, which can be determined according to the configuration of the wind turbine. The power fluctuation ratio of the wind turbine within the target scheduling cycle can be determined based on the parameters of the wind turbine and the wind force changes within the target scheduling cycle.

[0060] The source-load relationship of traditional offshore oil and gas fields is stable, and only a small number of turbine generator sets are required to participate in system power regulation to maintain the grid frequency within a safe range. In OIES, turbine generator sets are the only power source for smoothing wind power uncertainty. To ensure frequency safety, the traditional operation strategy that only relies on some generator sets to participate in power regulation cannot maximize the OIES offshore wind power absorption capacity. Therefore, in the method provided by the present invention, offshore wind power and turbine generator sets operate in coordination to ensure that all generator sets put into operation can participate in wind power uncertainty regulation in real time. In order to reduce the impact of wind power disturbances on a single generator set and enable each generator set to have the ability to respond to power disturbances throughout the entire process, in the method provided by the present invention, the generator set adopts an active power output distribution strategy with equal load rate, that is, the real-time output of the generator set can be expressed as:

[0061] ;

[0062] In the formula, is the load factor of the generator set; and (i =1, 2, … , n) respectively represent the real-time output and maximum output limit of the i-th generator set; n represents the number of generator sets put into operation.

[0063] The coordinated operation strategy of offshore wind power and turbine generator sets is closely related to the control strategy of turbine generator sets. In OIES, there are three types of coordinated control modes for offshore wind power and multi-turbine generator sets: full ISOCH mode, ISOCH and DROOP mixed mode, and full DROOP mode.

[0064] Full ISOCH mode: When turbine generator sets in offshore oil and gas fields are close to each other and their controllers are compatible with each other, all turbine generator sets can adopt ISOCH control strategy at the same time, which is equivalent to one turbine generator set adopting ISOCH control strategy. Based on parallel operation controller, each turbine generator set can achieve communication and coordination to always maintain the system frequency at the set value. At the same time, all loads borne by the turbine generator set are automatically distributed according to equal load rate under the action of parallel operation controller.

[0065] ISOCH and DROOP hybrid mode: If some of the units use ISOCH mode, other turbine generator sets that are far away or incompatible with communication can only use DROOP mode. When power fluctuations occur, all turbine generator sets work together to smooth out frequency fluctuations and always maintain the system frequency at the set value. In this mode, the turbine generator sets using ISOCH mode will eventually absorb all unbalanced power, and the output power of the turbine generator sets using DROOP mode will remain unchanged. Finally, the load borne by all turbine generator sets is redistributed among the generator sets according to equal load rates through the Energy Management System (EMS).

[0066] Full DROOP mode: All turbine generator sets adopt the DROOP control strategy. In this mode, each turbine generator set is adjusted locally according to the system frequency, but only differential adjustment of the system frequency can be achieved. Finally, the load borne by all turbine generator sets needs to be redistributed among the generator sets with equal load rate through EMS, so that the system frequency returns to the set value.

[0067] Based on the foregoing, the method provided by the present invention constrains the operating parameters (including control mode, start and stop status, etc.) of each generator set in the offshore oil and gas field power grid through constraints, so that the operating parameters of the generator set can achieve a stable frequency response to ensure the safety of offshore oil and gas field production.

[0068] Specifically, the constraint condition includes a first constraint condition, which is used to constrain the maximum frequency deviation of the power generation system to be within the production safety range when the wind turbine is in normal operation and when the wind turbine is disconnected from the grid due to a fault. The first constraint condition is:

[0069] ;

[0070] ;

[0071] in, It indicates the maximum frequency deviation of the power generation system when the wind turbine is in normal operation. It indicates the maximum frequency deviation of the power generation system when the wind turbine is disconnected from the grid due to a fault. represents the upper limit of the output power of the wind turbine. It indicates the power fluctuation ratio of wind turbines within the target scheduling period.

[0072] like Figure 2 As shown, the indicator It can reflect the lowest frequency point caused by normal fluctuations in offshore wind power under working condition 1 (normal operation of wind turbines). Frequent fluctuations in offshore wind power will cause frequent frequency violations or frequent large-scale fluctuations, which will affect the safety of OIES operation.

[0073] like Figure 2 As shown, the indicator It can reflect the lowest frequency point under the second working condition (wind turbine failure and grid disconnection). The sudden power loss caused by offshore wind power trawling will cause the frequency to drop rapidly. When exceeding the protection threshold, it will cause other power generation equipment to fail or be disconnected from the grid, expand the scope of power outage, and threaten production safety.

[0074] The constraint condition also includes a second constraint condition, which is used to constrain the steady-state frequency deviation of the power generation system to be within a production safety range when the wind turbine generator set fails and is disconnected from the grid;

[0075] The second constraint is:

[0076] ;

[0077] in It represents the steady-state frequency deviation of the power generation system when the wind turbine fails and is disconnected from the grid. Represents the upper boundary of the steady-state deviation.

[0078] like Figure 2 As shown, the indicator Reflects the quasi-steady-state frequency deviation caused by wind power disconnection under working condition 2. The system cannot operate under a large frequency deviation for a long time, which may easily cause system instability or equipment damage. In particular, if there are generators using ISOCH control mode in the system, .

[0079] There are two operating states for wind turbines connected to the offshore oil and gas field power grid: normal operating state and fault-off-grid state. In the normal operating state, the power supply of the wind turbine will fluctuate but will not disappear directly. In the fault-off-grid state, the power supply of the wind turbine will be disconnected from the grid, that is, it will not supply power to the offshore oil and gas field power grid.

[0080] In a possible implementation, the calculation formula for the maximum frequency deviation when the wind turbine is in normal operation is:

[0081] ;

[0082] in, It indicates the maximum frequency deviation of the power generation system when the wind turbine is in normal operation. It represents the fluctuation ratio of wind power of wind turbine in unit time. , represents the governor proportional coefficient in the equivalent parameters of the power generation system, and D represents the damping coefficient in the equivalent parameters of the power generation system.

[0083] In a possible implementation, the calculation formula for the maximum frequency deviation when the wind turbine is in a grid-off fault state is:

[0084] ;

[0085] ;

[0086] ;

[0087] ;

[0088] , ;

[0089] in, Indicates the maximum frequency deviation of the power generation system when the wind turbine is in a faulty and disconnected state. represents the upper limit of the output power of the wind turbine, H and D represent the inertia time constant and damping coefficient in the equivalent parameters of the power generation system respectively. represents the prime mover constant in the equivalent parameters of the power generation system, , Represents the governor proportional coefficient in the equivalent parameters of the power generation system, is the time when the frequency is at its lowest point.

[0090] When the wind turbine is in a fault-off-grid state, the steady-state frequency deviation expression of the power generation system is:

[0091] ;

[0092] in, It indicates the steady-state frequency deviation of the power generation system when the wind turbine is in a faulty and disconnected state.

[0093] Specifically, the frequency model of the generator set can be regarded as a combination of a speed governor, a prime mover, and a synchronous generator, that is, the frequency of the generator set is related to the parameters of the speed governor, the prime mover, and the synchronous generator, and the speed governor, the prime mover, and the synchronous generator together constitute the frequency response dynamics of the generator set. In actual operation, multiple generator sets may be partially turned on and partially turned off. For the generator sets that are started, the method provided by the present invention regards all the generator sets that are started as an aggregated frequency response model, and the corresponding equivalent parameters include the speed governor proportional parameter, the prime mover time constant, the inertia time constant, and the damping coefficient. That is to say, for a single generator set, its speed governor proportional coefficient, prime mover time constant, inertia time constant, and damping coefficient are determined, but in the method provided by the present invention, all the generator sets that are started are regarded as an aggregated generator set, and the frequency change is determined according to the speed governor proportional coefficient, prime mover time constant, inertia time constant, and damping coefficient of this aggregated generator set.

[0094] Specifically, the calculation process of each equivalent parameter of the power generation system in the offshore oil and gas field power grid can be expressed by the formula:

[0095] ;

[0096] ;

[0097] ;

[0098] ;

[0099] Wherein, H and D represent the inertia time constant and damping coefficient of the equivalent parameters of the power generation system in the offshore oil and gas field power grid, respectively; is the collection of gas / oil generator sets in OPCES, and ; Turbine generator set The start and stop status of the generator set, such as At startup, ,otherwise ; and Indicates the generator set The inertia time constant and damping coefficient of the synchronous generator; s is the Laplace operator, Indicates the generator set Rated power, Represents the governor proportionality factor in the equivalent parameters of the power generation system in the offshore oil and gas field power grid; Represents the prime mover constant in the equivalent parameters of the power generation system in the offshore oil and gas field power grid; Turbine generator set The proportional coefficient of the speed regulator; Turbine generator set The time constant of the prime mover.

[0100] index and indicators It is determined that it is a nonlinear model. Considering the nonlinear characteristics of the model, the method provided by the present invention uses multiple plane approximate fitting to transform it into a linear constraint condition, that is, the first constraint condition is transformed into a linear constraint condition by using multiple plane approximate fitting. The linear constraint condition is:

[0101] ;

[0102] ;

[0103] ;

[0104] ;

[0105] Where H is the inertia time parameter of the power generation system, is the speed regulation integral coefficient of the power generation system, is the inherent property parameter of the power generation system, is the prime mover time constant of the power generation system, , , , , , is the fitting parameter, represents the upper limit of the output power of the wind turbine. It indicates the power fluctuation ratio of wind turbines within the target scheduling period.

[0106] Affected by the uncertainty of time-varying offshore wind power, the OIES demand for hot reserve should also be time-varying. In addition, the differences in control parameters will lead to different distribution rules of the total hot reserve capacity among the turbine generator sets when participating in the response frequency. The capacity of each turbine generator set in OIES is small. It is necessary to quantify the total hot reserve constraints, clarify the rules of hot reserve allocation and control parameters of each turbine generator set, and quantify the hot reserve reserved by each turbine generator set in detail. Furthermore, the constraints also include a third constraint for constraining the feasibility of the hot reserve capacity of the power generation system. The third constraint is:

[0107] ;

[0108] ;

[0109] ;

[0110] ;

[0111] in, Indicates the generator set The start and stop status in the sp-th scheduling period, Indicates the generator set Start in the sp-th scheduling period, Indicates the generator set Shut down in the sp-th scheduling period, Indicates the generator set The lower limit of active power, Indicates the generator set The upper limit of active power, Indicates the generator set The active power in the sp-th scheduling period, is the generator set in the sp-th dispatch period Downward reserve capacity; is the generator set in the sp-th dispatch period The increase of reserve capacity; Indicates the generator set in the sp-th dispatch period The operating mode, Indicates the generator set in the sp-th dispatch period Running in ISOCH mode, Indicates the generator set in the sp-th dispatch period Running in DROOP mode, represents the set of power stations in the offshore oil and gas field power grid, , represents the set of generator sets in the power station st, and , , Indicates whether there is a generator set in ISOCH operation mode in the power station during the sp scheduling period, Indicates that in the sp scheduling period, the generator set in the power station st is allowed to operate in ISOCH mode. It means that all the generator sets in the power station st must operate in DROOP mode during the sp scheduling period.

[0112] The constraint condition also includes a fourth constraint condition, which is used to constrain the downward adjustment of the hot reserve capacity of the power generation system to meet the system load fluctuation demand. The fourth constraint condition is:

[0113] ;

[0114] in, To reduce the hot standby load factor, which is an inherent property of the power generation system, represents the load in the sp-th scheduling period .

[0115] Furthermore, in the offshore oil and gas field power grid, the operation of the generator set also needs to meet the power constraints of the generator set, specifically:

[0116] ;

[0117] ;

[0118] ;

[0119] ;

[0120] ;

[0121] ;

[0122] in, and are respectively the active power and reactive power of the generator set in the sp-th dispatching period; Indicates the power factor of the turbine generator set; is the rated capacity of the turbine generator set. and are the maximum and minimum constraints for variable A. It is the minimum start-up time of the turbine generator set. It is the minimum shutdown time of the turbine generator set.

[0123] The fuel consumption and output active power of the generator set must meet the following constraints:

[0124] ;

[0125] in, , is the coefficient of the fuel-power output characteristic equation and can be obtained from experimental data.

[0126] Furthermore, the real-time output and load rate of the engine group also need to satisfy the following relationship constraints:

[0127] ;

[0128] ;

[0129] is the load rate of each generator set in the sp-th scheduling period.

[0130] Furthermore, the operation of wind turbines connected to the offshore oil and gas field power grid needs to meet the following constraints:

[0131] ;

[0132] ;

[0133] ;

[0134] ;

[0135] ;

[0136] ;

[0137] Where: and represents the output active power and reactive power of the wind turbine in the sp-th dispatching period; ~ Indicates the power factor range of the wind turbine.

[0138] Furthermore, in the method provided by the present invention, the operation constraints of the gas compressor, oil pump, power network, gas transmission network and oil transmission network in the offshore oil and gas field system can be further considered. Specifically, the power constraints of the gas compressor in the offshore oil and gas field are as follows:

[0139] ;

[0140] ;

[0141] ;

[0142] in, For the collection of gas compressors, ; and are respectively the active power and reactive power requirements of the gas compressor in the sp-th scheduling period; is the natural gas delivery rate of the gas compressor in the sp-th scheduling period; Indicates the compression ratio of the gas compressor; and is a constant; is the rated power factor of the gas compressor; It is the rated power of the gas compressor prime mover.

[0143] The operating constraints of oil pumps in offshore oil and gas fields are as follows:

[0144] ;

[0145] ;

[0146] ;

[0147] in, For the collection of oil pumps, ; and are respectively the active power and reactive power of the oil pump in the sp-th dispatching period; is the mechanical efficiency of the oil pump; is the rate at which the oil pump delivers crude oil in the sp-th scheduling period; is the pressure difference between the inlet and outlet of the oil pump in the sp-th scheduling period; It is the rated power factor of the oil pump in normal operation; is the rated power of the oil pump.

[0148] Since the submarine cable has a high charging capacitance and a large line resistance to reactance ratio, the active power and reactive power are closely coupled and closely related to the voltage amplitude and phase angle. Therefore, the active and reactive power flow constraints of the circuit branch can be expressed as:

[0149] ;

[0150] ;

[0151] ;

[0152] ;

[0153] in, is the collection of all buses in the power grid. ; represents the set of all branches of the power grid, ; and Respectively represent the active power and reactive power of the power branch in the sp-th dispatching period; and are the conductance and susceptance of the branch respectively; is the equivalent charging susceptance of the branch; and They represent the voltage amplitudes at both ends of the power branch in the sp-th dispatching period, and , ; It represents the voltage phase difference between both ends of the power branch in the sp-th dispatching period; is the rated capacity of the power branch circuit.

[0154] Offshore oil and gas field gas transmission network branches must meet the following operating constraints:

[0155] ;

[0156] in, represents the natural gas flow rate of the natural gas branch in the sp-th scheduling period, represents the set of gas transmission network branches, .

[0157] The branch lines of the offshore oil and gas field oil transmission network must meet the following operating constraints:

[0158] ;

[0159] in, represents the crude oil flow rate of the oil transmission network branch in the sp-th scheduling period; It is a collection of branches of the oil transportation network. .

[0160] The present invention constructs a linear frequency safety constraint set and spinning reserve operation constraints suitable for adaptive adjustment of turbine generator control mode, and applies the above operation constraints to the optimal day-ahead optimization scheduling of the system. By setting the optimization target to the lowest operating cost, it can not only ensure the frequency safety of the system, but also reduce the operating cost and carbon emissions. Specifically, in the method provided by the present invention, the single-objective optimization function that maximizes the economic efficiency of system operation by comprehensively considering factors such as the fuel and startup cost of the generator set, the carbon emission cost, and the offshore wind power cost is:

[0161] ;

[0162] , , and They respectively represent the fuel cost, carbon dioxide emission cost, offshore wind power cost and turbine generator start-up cost within a scheduling cycle, that is, the optimization objective is to minimize the sum of fuel cost, carbon dioxide emission cost, offshore wind power cost and turbine generator start-up cost.

[0163] ;

[0164] ;

[0165] ;

[0166] ;

[0167] ;

[0168] ;

[0169] T represents the time step of a single scheduling period; is the fuel consumption of the turbine generator in the sp-th scheduling period; represents a set of N scheduling periods, ; is the start and stop status of the turbine generator set in the sp-th scheduling period; It represents the unit cost of fuel for turbine generator set; represents the unit cost of CO2 emissions; represents the unit cost of wind power; It is the carbon dioxide emission per unit volume of natural gas or per unit mass of crude oil; A collection of offshore wind turbines. ; is the wind power output power in the sp-th scheduling period; It represents the cost of starting a turbine generator set once; Represents the startup cost of the turbine generator set in the sp-th scheduling period.

[0170] The method provided by the present invention accurately quantifies three frequency indicators by linearizing the system frequency dynamic response process, reasonably configures the hot standby capacity of the turbine generator set, and maximizes the offshore wind power consumption capacity of the offshore oil and gas field under the premise of ensuring the system frequency safety and reliable energy supply, thereby reducing the system operation cost. In addition, the method provided by the present invention can realize the adaptive selection of the turbine generator control mode, can more reasonably arrange the start and stop plan of the turbine generator set, reduce the impact of offshore wind power uncertainty on the system frequency, and improve the frequency response capability of the system.

[0171] In order to prove the feasibility and superiority of the scheduling strategy generated by the method provided by the present invention, an experimental verification is carried out by taking a northern offshore oil and gas field as an example. The system structure of the oil and gas field is as follows: Figure 3As shown in the figure, the system consists of four interconnected offshore oil and gas platforms. Platform A1 and Platform A2 form one production unit, and Platform B1 and Platform B2 form another production unit. The two production units are interconnected by a 15km link to ensure the overall power supply reliability. From the perspective of the power grid, the system has a total of 6 busbars. Considering that busbars 5 and 5' are buses of the same voltage level and have a close electrical distance, the two will be regarded as one busbar in the following text. The offshore oil and gas field is equipped with a gas compressor (C1) with a rated power of 600kW and two oil transmission units (P1~P2) with a rated power of 350kW to transport the produced oil and gas. To meet the power supply demand, a total of 9 generator sets are configured, including two gas generator sets (G1~G2) and 7 fuel generator sets (G3~G9). Offshore wind turbines can be connected to the platform power grid through platform A1 and platform A2. The unit cost of natural gas is 3 yuan / Sm3, the unit cost of crude oil is 5 yuan / kg, the unit cost of offshore wind power is 0.6 yuan / kWh, the unit cost of carbon dioxide is 40 yuan / ton, and the start-up cost of turbine generator sets is 20 yuan / MW / time. The typical load curve and wind power curve of the integrated energy system of offshore oil and gas fields are as follows: Figure 4 shown.

[0172] The system is scheduled using the method provided by the present invention, and the optimization scheduling results are analyzed as follows:

[0173] In order to analyze the impact of frequency security constraints and turbine generator set operation control mode on system scheduling decisions, the following four simulation scenarios were compared. Scenario SC-IV does not have offshore wind power grid connection, and simulates the operation of existing offshore oil and gas fields. The characteristics of each scenario are shown in Table 1. Scenarios SC-I, SC-II and SC-III contain offshore wind power, and are compared with scenario SC-IV to analyze the impact of offshore wind power access on the operation of offshore oil and gas fields. Frequency security constraints are not considered in scenario SC-III, and parallel operation controllers are not supported. Frequency security constraints are considered in scenario SC-I, but parallel operation controllers are not supported. Frequency security constraints are considered in scenario SC-II, and turbine generator sets are divided into three groups, G1~G2, G3~G5, and G6~G9, and each group operates in coordination through parallel operation controllers.

[0174] Table 1

[0175]

[0176] The scheduling results of total operating cost reduction and carbon emission reduction under different scenarios and load conditions are as follows: Figure 5 The wind power utilization dispatch results under different scenarios and load conditions are shown in Figure 6As shown in the figure, it can be seen from the results that under different load conditions, compared with SC-III, the total operating cost reduction, carbon emission reduction and wind power utilization rate of SC-I and SC-II are all reduced due to the influence of frequency constraints. This shows that the proposed scheduling method considering frequency security constraints more accurately describes the system's offshore wind power absorption capacity.

[0177] The following describes the offshore wind power grid-connected offshore oil and gas field grid dispatching device under the adaptive control mode provided by the present invention. The offshore wind power grid-connected offshore oil and gas field grid dispatching device under the adaptive control mode described below and the offshore wind power grid-connected offshore oil and gas field grid dispatching method under the adaptive control mode described above can be referred to each other. Figure 7 As shown, the offshore wind power grid-connected offshore oil and gas field power grid dispatching device in the adaptive control mode provided by the present invention includes the following modules:

[0178] The wind power parameter acquisition module 710 is used to acquire the operating parameters of the wind turbines of the offshore oil and gas field power grid, the operating parameters of the wind turbines including the upper limit of the output power of the wind turbines and the power fluctuation ratio of the wind turbines within the target scheduling period, the target scheduling period including multiple scheduling periods;

[0179] The constraint condition building module 720 is used to build constraint conditions based on the operating parameters of the wind turbines and the parameters of the power generation system of the offshore oil and gas field power grid. The constraint conditions constrain the operating parameters of each generator set in the offshore oil and gas field power grid. The operating parameters of the generator set include the start and stop status of each generator set in each scheduling period and the coordinated control mode. The coordinated control mode includes ISOCH mode and DROOP mode.

[0180] The target optimization module 730 is used to solve the target optimization function based on the constraint conditions to obtain the day-ahead scheduling strategy of the offshore oil and gas field power grid within the target scheduling period. The day-ahead scheduling strategy includes the operating parameters of the generator set, wherein the optimization target of the target optimization function is to minimize the operating cost of the offshore oil and gas field power grid within the target scheduling period.

[0181] Figure 8 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 8As shown, the electronic device may include: a processor (processor) 810, a communication interface (Communications Interface) 820, a memory (memory) 830 and a communication bus 840, wherein the processor 810, the communication interface 820, and the memory 830 communicate with each other through the communication bus 840. The processor 810 can call the logic instructions in the memory 830 to execute the offshore wind power grid-connected offshore oil and gas field power grid scheduling method under the adaptive control mode, the method comprising: obtaining the operating parameters of the wind turbine group of the offshore oil and gas field power grid, the operating parameters of the wind turbine group including the upper limit of the output power of the wind turbine group and the power fluctuation ratio of the wind turbine group within the target scheduling cycle, the target scheduling cycle including multiple scheduling periods; constructing constraints based on the operating parameters of the wind turbine group and the parameters of the power generation system of the offshore oil and gas field power grid, the constraints constraining the operating parameters of each generator set in the offshore oil and gas field power grid, the operating parameters of the generator set including the start and stop status of each generator set in each scheduling period and the collaborative control mode, the collaborative control mode including ISOCH mode and DROOP mode; solving the target optimization function based on the constraint conditions to obtain the day-ahead scheduling strategy of the offshore oil and gas field power grid within the target scheduling cycle, the day-ahead scheduling strategy including the operating parameters of the generator set, wherein the optimization target of the target optimization function is to minimize the operating cost of the offshore oil and gas field power grid within the target scheduling cycle.

[0182] In addition, the logic instructions in the above-mentioned memory 830 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art or the 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 invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0183] On the other hand, the present invention also provides a computer program product, which includes a computer program. The computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the offshore wind power grid-connected offshore oil and gas field power grid scheduling method under the adaptive control mode provided by the above methods. The method includes: obtaining the operating parameters of the wind turbine group of the offshore oil and gas field power grid, the operating parameters of the wind turbine group include the upper limit of the output power of the wind turbine group and the power fluctuation ratio of the wind turbine group within a target scheduling period, and the target scheduling period includes multiple scheduling periods; constructing constraints based on the operating parameters of the wind turbine group and the parameters of the power generation system of the offshore oil and gas field power grid, the constraints constraining the operating parameters of each generator set in the offshore oil and gas field power grid, the operating parameters of the generator set include the start and stop status of each generator set in each scheduling period and the collaborative control mode, and the collaborative control mode includes ISOCH mode and DROOP mode; solving the target optimization function based on the constraint conditions to obtain the day-ahead scheduling strategy of the offshore oil and gas field power grid within the target scheduling period, the day-ahead scheduling strategy includes the operating parameters of the generator set, wherein the optimization target of the target optimization function is to minimize the operating cost of the offshore oil and gas field power grid within the target scheduling period.

[0184] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute the offshore wind power grid-connected offshore oil and gas field power grid dispatching method under the adaptive control mode provided by the above-mentioned methods, the method comprising: obtaining the operating parameters of the wind turbine set of the offshore oil and gas field power grid, the operating parameters of the wind turbine set including the upper limit of the output power of the wind turbine set and the power fluctuation ratio of the wind turbine set within a target scheduling cycle, the target scheduling cycle including multiple scheduling periods; constructing constraints based on the operating parameters of the wind turbine set and the parameters of the power generation system of the offshore oil and gas field power grid, the constraints constraining the operating parameters of each generator set in the offshore oil and gas field power grid, the operating parameters of the generator set including the start and stop status of each generator set in each scheduling period and the collaborative control mode, the collaborative control mode including the ISOCH mode and the DROOP mode; solving the target optimization function based on the constraints to obtain the day-ahead scheduling strategy of the offshore oil and gas field power grid within the target scheduling cycle, the day-ahead scheduling strategy including the operating parameters of the generator set, wherein the optimization target of the target optimization function is to minimize the operating cost of the offshore oil and gas field power grid within the target scheduling cycle.

[0185] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0186] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0187] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention 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 invention.

Claims

1. A method for offshore wind power grid connection and offshore oil and gas field grid dispatching under adaptive control mode, characterized in that: The method comprises: Acquire operating parameters of a wind turbine generator set of an offshore oil and gas field power grid, wherein the operating parameters of the wind turbine generator set include an upper limit of an output power of the wind turbine generator set and a power fluctuation ratio of the wind turbine generator set within a target scheduling period, wherein the target scheduling period includes a plurality of scheduling periods; Based on the operating parameters of the wind turbines and the parameters of the power generation system of the offshore oil and gas field power grid, the constraints are constructed, and the constraints constrain the operating parameters of each generator set in the offshore oil and gas field power grid. The operating parameters of the generator set include the start and stop states of each generator set in each scheduling period and the coordinated control mode, and the coordinated control mode includes ISOCH mode and DROOP mode; Solving the target optimization function based on the constraint conditions to obtain the day-ahead scheduling strategy of the offshore oil and gas field power grid within the target scheduling period, wherein the day-ahead scheduling strategy includes the operating parameters of the generator set, wherein the optimization target of the target optimization function is to minimize the operating cost of the offshore oil and gas field power grid within the target scheduling period; The constraint conditions include a first constraint condition, a second constraint condition, a third constraint condition and a fourth constraint condition, wherein the first constraint condition is used to constrain the maximum frequency deviation of the power generation system to be within a production safety range when the wind turbine generator set is in a normal operating state and a fault disconnected state respectively; The first constraint condition is: ； ； in, represents the maximum frequency deviation of the power generation system under the normal operation of the wind turbine generator set, Indicates the maximum frequency deviation of the power generation system when the wind turbine generator set is in a fault-off-grid state; The second constraint condition is used to constrain the steady-state frequency deviation of the power generation system to be within a production safety range when the wind turbine generator set fails and is disconnected from the grid; The second constraint is: ； in represents the steady-state frequency deviation of the power generation system when the wind turbine generator set fails and is disconnected from the grid, represents the upper boundary of steady-state deviation; The third constraint condition is used to constrain the feasibility of the hot reserve capacity of the power generation system; The third constraint condition is: ； ； ； ； in, Indicates the generator set The start and stop status in the sp-th scheduling period, Indicates the generator set Start in the sp-th scheduling period, Indicates the generator set Shut down in the sp-th scheduling period, Indicates the generator set The lower limit of active power, Indicates the generator set The upper limit of active power, Indicates the generator set The active power in the sp-th scheduling period, is the generator set in the sp-th dispatch period Downward reserve capacity; is the generator set in the sp-th dispatch period The increase of reserve capacity; Indicates the generator set in the sp-th dispatch period The operating mode, Indicates the generator set in the sp-th dispatch period Running in ISOCH mode, Indicates the generator set in the sp-th dispatch period Running in DROOP mode, represents the set of power stations in the offshore oil and gas field power grid, , represents the set of generator sets in the power station st, and , , Indicates whether there is a generator set in ISOCH operation mode in the power station during the sp scheduling period, Indicates that in the sp scheduling period, the generator set in the power station st is allowed to operate in ISOCH mode. Indicates that all generators in power station st must operate in DROOP mode during the sp scheduling period; The fourth constraint condition is used to constrain the downward reserve capacity in the hot reserve capacity of the power generation system to meet the system load fluctuation demand; The fourth constraint condition is: ； in, To lower the hot standby load factor, represents the load in the sp-th scheduling period .

2. The offshore wind power grid-connected offshore oil and gas field power grid dispatching method under the adaptive control mode according to claim 1 is characterized in that: The constraint conditions are constructed based on the operating parameters of the wind turbine generator set and the parameters of the power generation system of the offshore oil and gas field power grid, including: The first constraint condition is converted into a linear constraint condition by using multiple plane approximate fitting, and the linear constraint condition is: ； ； ； ； Wherein, H is the inertia time parameter of the power generation system, is the speed regulation integral coefficient of the power generation system, is the prime mover time constant of the power generation system, , , , , , is the fitting parameter, represents the upper limit of the output power of the wind turbine, It represents the power fluctuation ratio of the wind turbine generator set within the target scheduling period.

3. An offshore wind power grid-connected offshore oil and gas field power grid dispatching device in an adaptive control mode, characterized in that: The device comprises: A wind power parameter acquisition module, used to acquire the operating parameters of the wind turbine set of the offshore oil and gas field power grid, wherein the operating parameters of the wind turbine set include the upper limit of the output power of the wind turbine set and the power fluctuation ratio of the wind turbine set within a target scheduling period, wherein the target scheduling period includes multiple scheduling periods; A constraint condition construction module, used to construct constraint conditions based on the operating parameters of the wind turbine and the parameters of the power generation system of the offshore oil and gas field power grid, wherein the constraint conditions constrain the operating parameters of each generator set in the offshore oil and gas field power grid, wherein the operating parameters of the generator set include the start and stop states of each generator set in each scheduling period and the coordinated control mode, wherein the coordinated control mode includes the ISOCH mode and the DROOP mode; A target optimization module is used to solve the target optimization function based on the constraint conditions to obtain the day-ahead scheduling strategy of the offshore oil and gas field power grid within the target scheduling period, wherein the day-ahead scheduling strategy includes the operating parameters of the generator set, wherein the optimization target of the target optimization function is to minimize the operating cost of the offshore oil and gas field power grid within the target scheduling period; The constraint conditions include a first constraint condition, a second constraint condition, a third constraint condition and a fourth constraint condition, wherein the first constraint condition is used to constrain the maximum frequency deviation of the power generation system to be within a production safety range when the wind turbine generator set is in a normal operating state and a fault disconnected state respectively; The first constraint condition is: ； ； in, represents the maximum frequency deviation of the power generation system under the normal operation of the wind turbine generator set, Indicates the maximum frequency deviation of the power generation system when the wind turbine generator set is in a fault-off-grid state; The second constraint condition is used to constrain the steady-state frequency deviation of the power generation system to be within a production safety range when the wind turbine generator set fails and is disconnected from the grid; The second constraint is: ； in represents the steady-state frequency deviation of the power generation system when the wind turbine generator set fails and is disconnected from the grid, represents the upper boundary of steady-state deviation; The third constraint condition is used to constrain the feasibility of the hot reserve capacity of the power generation system; The third constraint condition is: ； ； ； ； in, Indicates the generator set The start and stop status in the sp-th scheduling period, Indicates the generator set Start in the sp-th scheduling period, Indicates the generator set Shut down in the sp-th scheduling period, Indicates the generator set The lower limit of active power, Indicates the generator set The upper limit of active power, Indicates the generator set The active power in the sp-th scheduling period, is the generator set in the sp-th dispatch period Downward reserve capacity; is the generator set in the sp-th dispatch period The increase of reserve capacity; Indicates the generator set in the sp-th dispatch period The operating mode, Indicates the generator set in the sp-th dispatch period Running in ISOCH mode, Indicates the generator set in the sp-th dispatch period Running in DROOP mode, represents the set of power stations in the offshore oil and gas field power grid, , represents the set of generator sets in the power station st, and , , Indicates whether there is a generator set in ISOCH operation mode in the power station during the sp scheduling period, Indicates that in the sp scheduling period, the generator set in the power station st is allowed to operate in ISOCH mode. Indicates that all generators in power station st must operate in DROOP mode during the sp scheduling period; The fourth constraint condition is used to constrain the downward reserve capacity in the hot reserve capacity of the power generation system to meet the system load fluctuation demand; The fourth constraint condition is: ； in, To lower the hot standby load factor, represents the load in the sp-th scheduling period .

4. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the offshore wind power grid-connected offshore oil and gas field power grid scheduling method under the adaptive control mode as described in any one of claims 1 to 2 is implemented.

5. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor, the offshore wind power grid-connected offshore oil and gas field power grid dispatching method under the adaptive control mode as described in any one of claims 1 to 2 is implemented.

6. A computer program product comprising a computer program, characterized in that When the computer program is executed by the processor, the offshore wind power grid-connected offshore oil and gas field power grid dispatching method under the adaptive control mode as described in any one of claims 1 to 2 is implemented.

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