Offshore wind power active power regulation and control method, system and equipment and storage medium

Abstract

The invention relates to the technical field of active power regulation and control, and discloses an offshore wind power active power regulation and control method, system and device and a storage medium, and the method comprises the steps: obtaining electric power parameters of a power distribution network, carrying out the global optimization of the power distribution network according to the electric power parameters and a global optimization control target, and carrying out the local optimization of the power distribution network according to a local optimization control target. Performing local optimization on the power distribution network; and updating the electric power parameters according to a local optimization result, and continuously performing global optimization on the power distribution network according to the updated electric power parameters and the global optimization control target until the global optimization is finished. According to the regulation and control method, the work of each module is dispatched by reducing the cost to the minimum, active power coordination control of offshore wind power and multi-source grid-connected operation is realized, the regulation and control method is simple and easy to control, the response is quick, active power balance in the grid can be quickly realized, the regulation and control cost is effectively controlled, and the regulation and control efficiency is improved. And the operation efficiency and the operation reliability of offshore wind power generation are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of active power regulation, and in particular to an offshore wind power active power regulation method, system, equipment and storage medium. Background Art

[0002] As people are concerned about the shortage of fossil fuels and the harmful substances released by the combustion of traditional fossil energy are becoming more and more polluting to the environment, countries around the world have begun to work on "grid upgrades". Therefore, in the power industry, the proportion of new energy power generation is increasing, including photovoltaic power generation, wind power generation, tidal power generation, etc. New energy power generation has very little environmental pollution and has obvious renewable performance. As a major energy producer and consumer, my country pays more and more attention to and invests more in new energy power generation.

[0003] At present, onshore wind power and photovoltaic power generation account for the highest proportion of renewable energy power generation in my country, but they occupy a large amount of land resources, have high investment costs, and have large power losses in long-distance transportation. my country's coastal areas have sufficient offshore resources, long coastlines, wide sea levels, high wind speeds, and good sea breeze quality, so there is no need to occupy too much land resources. At the same time, my country's coastal areas are densely populated, with high density of electricity-consuming enterprises and large electricity demand. Therefore, the electricity generated by offshore wind power generation can be directly supplied to the user side without long-distance transmission, avoiding resource waste during transmission and reducing transmission costs. In recent years, offshore wind power plants have been rapidly built. Part of the electricity generated by offshore wind farms can be supplied to the user side, part of it can be stored in energy storage, and part of it can be connected to the power grid. When the power on the load side is frequently switched, how to maintain the power balance in the network is currently the main research hotspot. At present, most of the technical solutions adopted for distribution network control are global optimization control, which regulates each distributed device in the distribution network. The communication is complex and the data processing volume is large. It cannot timely balance the active power of the load side power mutation when offshore wind power and multi-source grid connection are running. Summary of the invention

[0004] In order to solve the above technical problems, the present invention provides an offshore wind power active power regulation method, system, equipment and storage medium, so as to promote active coordinated control of useful power and achieve the effect of improving the overall operational reliability of offshore wind power generation.

[0005] In a first aspect, the present invention provides a method for regulating active power of offshore wind power, the method comprising:

[0006] Obtaining power parameters of the distribution network, performing global optimization on the distribution network according to the power parameters and the global optimization control target, and performing local optimization on the distribution network according to the local optimization control target; wherein the global optimization control target is the minimum power loss in the network, and the local optimization control target is the active power balance control cost;

[0007] The power parameters are updated according to the local optimization results, and the distribution network is continuously globally optimized according to the updated power parameters and the global optimization control target until the global optimization is completed.

[0008] Furthermore, the step of locally optimizing the distribution network according to the local optimization control target includes:

[0009] Compare the difference between the load power after the fluctuation and the steady state with the power of the energy storage device. If the difference between the load power after the fluctuation and the steady state is greater than zero and less than or equal to the power of the energy storage device, the energy storage device outputs active power to the load side according to the power deficit;

[0010] On the contrary, the energy storage device and each distributed unit jointly perform active power regulation. Further, the step of on the contrary, the energy storage device and each distributed unit jointly perform active power regulation includes:

[0011] If the difference between the load power after fluctuation and the steady state is greater than the power of the energy storage device, the energy storage device and each distributed unit jointly output active power to the load side;

[0012] If the difference between the load power after fluctuation and the steady state is less than zero, the output power of each distributed unit is reduced, and the output power is input to the energy storage device.

[0013] Furthermore, the step of jointly outputting active power to the load side by the energy storage device and each distributed unit includes:

[0014] According to the power parameters and the local optimization target, the output power ratios of different distributed units are calculated;

[0015] Each distributed unit outputs active power to the load side according to the output power ratio of the different distributed units, and the energy storage device outputs active power to the load side according to the maximum operating load.

[0016] Furthermore, the step of reducing the output power of each distributed unit and inputting the output power to the energy storage device includes:

[0017] According to the power parameters and the local optimization target, the output power ratios of different distributed units are calculated;

[0018] Each distributed unit outputs active power to the energy storage device according to the output power ratio of the different distributed units.

[0019] Furthermore, the following formula is used to express the global optimization control objective:

[0020]

[0021] Where Y1 is the minimum power loss in the grid under global optimization control, W WTi is the loss of the i-th wind turbine, n is the number of distributed wind power generation units, W bi is the power loss of the energy storage device of the i-th wind turbine group.

[0022] Furthermore, the following formula is used to express the local optimization control objective:

[0023]

[0024] Where Y2 is the total cost of active power coordinated control, R DGi is the average price of electricity per unit power emitted by the distributed unit, x i is the output power ratio of different distributed units, ΔP L is the difference between the load power fluctuation and the steady state, P b is the power of the energy storage device, R av is the average price of electricity per unit power on the AC bus side;

[0025] The active power balance constraint is expressed by the following formula:

[0026]

[0027] Where P G is the power injected into the distribution network on the AC bus side, P DGi is the actual power emitted by the i-th distributed unit;

[0028] The optimal solution constraints are expressed using the following formula:

[0029] When 0<ΔP L ≦P b hour:

[0030] x i =0, (i=1,2......n)

[0031] When 0>ΔP L or ΔP L >P b hour:

[0032]

[0033] The following formula is used to express the energy storage charging and discharging constraints:

[0034] 0.1E≤SOC≤0.9E

[0035] In the formula, SOC is the energy storage charge state, and E is the rated capacity;

[0036] The following formula is used to express the power constraint of the distribution network operation:

[0037] P min ≤P≤P max

[0038] Where P min and P max are the minimum power and maximum power allowed for the distribution network to operate, and P is the operating power of the distribution network.

[0039] In a second aspect, the present invention provides an offshore wind power active power control system, the system comprising:

[0040] A first optimization control module is used to obtain power parameters of the distribution network, perform global optimization on the distribution network according to the power parameters and the global optimization control target, and perform local optimization on the distribution network according to the local optimization control target; wherein the global optimization control target is the minimum power loss in the network, and the local optimization control target is the active power balance control cost;

[0041] The second optimization control module is used to update the power parameters according to the local optimization results, and continue to globally optimize the distribution network according to the updated power parameters and the global optimization control target until the global optimization is completed.

[0042] In a third aspect, an embodiment of the present invention further provides a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above method when executing the computer program.

[0043] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program implements the steps of the above method when executed by a processor.

[0044] The present invention provides an offshore wind power active power control method, system, device and storage medium. Through the method, the global optimization control target and the local optimization control target are combined to optimize the local control of the distribution network. When the load is maliciously switched or the offshore wind power generation output changes badly, the offshore wind turbines and energy storage devices can be mobilized to work together, thereby reducing the regulation cost while improving the risk resistance of the distribution network, effectively ensuring the stable operation of the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 It is a flow chart of an offshore wind power active power control method provided by an embodiment of the present invention;

[0046] Figure 2 is a schematic diagram of the topology of a power distribution network system in an embodiment of the present invention;

[0047] Figure 3 It is another flow chart of the offshore wind power active power control method provided by the embodiment of the present invention;

[0048] Figure 4 is a DC voltage waveform diagram before optimization provided by an embodiment of the present invention;

[0049] Figure 5 is a DC voltage waveform diagram after optimization using a control method provided by an embodiment of the present invention;

[0050] Figure 6 is an AC voltage waveform diagram before optimization provided by an embodiment of the present invention;

[0051] Figure 7 is an AC voltage waveform diagram after optimization using a control method provided in an embodiment of the present invention;

[0052] Figure 8 This is a structural diagram of an offshore wind power active power control system provided by an embodiment of the present invention.

[0053] Fig. 9 It is a diagram of the internal structure of a computer device in an embodiment of the present invention. DETAILED DESCRIPTION

[0054] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments 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.

[0055] See also Figure 1 The first embodiment of the present invention provides an offshore wind power active power control method, comprising steps S10 to S20:

[0056] Step S10, obtaining power parameters of the distribution network, performing global optimization on the distribution network according to the power parameters and the global optimization control target, and performing local optimization on the distribution network according to the local optimization control target; wherein the global optimization control target is the minimum power loss in the network, and the local optimization control target is the active power balance control cost;

[0057] Step S20, updating the power parameters according to the local optimization results, and continuing to globally optimize the distribution network according to the updated power parameters and the global optimization control target until the global optimization is completed.

[0058] Before describing the control method of the present invention, the topological structure of the distribution network is described first. Figure 2 The distribution network topology in this embodiment is an offshore wind power multi-source grid-connected operation structure, using distributed energy storage equipment. It is assumed that the wind turbine has n distributed units, each of which includes three groups of wind turbines and an energy storage device. A single wind turbine is connected to a transformer through a PSMG (permanent magnet synchronous motor), and the energy storage device is connected to the transformer through a power electronic converter, and then connected to the AC bus (AC Bus) together with the wind turbines in the same group through a transformer. The AC Bus side is connected to the AC load, DC load and AC grid through a converter and a transformer.

[0059] On the basis of the above topological structure, the present invention provides a control method that uses the cost generated by the entire system maintaining active power balance when the load-side power fluctuates as the target control function, and mobilizes the operation of each module with the goal of minimizing the cost, so as to achieve active power coordinated control of offshore wind power and multi-source grid-connected operation. At present, most of the technical solutions adopted for distribution network control are global optimization control, which controls each distributed device in the distribution network. The communication is complex, the data processing volume is large, and timely active power control cannot be performed. For this reason, the present invention adds local optimization control on the basis of global optimization control. The specific steps are as follows:

[0060] First, establish the global optimization control objective function:

[0061]

[0062] Where Y1 is the minimum power loss in the grid under global optimization control, W WTi is the loss of the i-th wind turbine, n is the number of distributed wind power generation units, W bi is the power loss of the energy storage device of the i-th wind turbine group.

[0063] In the global optimization control objective function, the lowest power loss in the network is the lowest cost consumption. This is used as the upper-level control, but because the global optimization control needs to regulate each distributed device in the distribution network, its communication is complex and the data processing volume is large, so the present invention also establishes a local optimization control, and its objective function is as follows:

[0064]

[0065] Where Y2 is the total cost of active power coordinated control, R DGi is the average price of electricity per unit power emitted by the distributed unit, x i is the output power ratio of different distributed units, ΔP L is the difference between the load power fluctuation and the steady state, P b is the power of the energy storage device, Rav It is the average price of electricity per unit power on the AC bus side.

[0066] Specifically, in the local optimization control, the present invention takes the minimum cost of adjusting the power balance in the network as the objective function. When the load power demand is large, the required power ΔP is first compared. L and the energy storage device power P b The size of can be folded according to the local optimization objective function, if 0<ΔP L ≦P b , then coordinate the energy storage device to provide the required power; if ΔP L >P b , the energy storage device and the distributed unit work together to supplement the power shortage; if 0>ΔP L , it means that there is excess active power. At this time, it is necessary to adjust the distributed power generation units in the system to reduce the generation of active power and transmit it to the energy storage equipment to maintain the power balance in the grid. i is the unknown quantity, that is, the optimal solution of the objective function, so as to carry out active power balance control by minimizing the operation cost of the distribution network.

[0067] According to the above description, the constraints of the local objective control function are established, including active power balance constraints, optimal solution constraints, energy storage charging and discharging constraints, and distribution network operation power constraints. Among them, the active power balance constraint is:

[0068]

[0069] Where P G is the power injected into the distribution network on the AC bus side, P DGi is the actual power emitted by the i-th distributed unit;

[0070] The optimal solution constraints are:

[0071] When 0<ΔP L ≦P b When the required power is provided by the energy storage device, therefore:

[0072] x i =0, (i=1,2......n)

[0073] When 0>ΔP L or ΔP L >P b When , the distributed units intervene to adjust the active power balance, so from the linear algebra theory we can know:

[0074]

[0075] The energy storage charging and discharging constraints are:

[0076] In order to ensure the normal and healthy operation of the energy storage equipment, the energy storage state of charge SOC is required to be charged and discharged within 10% to 90% of the rated capacity E. Therefore:

[0077] 0.1E≤SOC≤0.9E

[0078] In the formula, SOC is the energy storage charge state, and E is the rated capacity;

[0079] Distribution network operating power constraints:

[0080] When the distribution network is running, its operating power P must be kept within a limited range to ensure the normal operation of the distribution network. Therefore:

[0081] P min ≤P≤P max

[0082] Where P min and P max are the minimum power and maximum power allowed for the distribution network to operate, and P is the operating power of the distribution network.

[0083] See also Figure 3 , the control method provided by the present invention is described in detail, firstly, the power required by the load in the grid, the output data of the fan and the energy storage status are collected, and the global minimum power loss optimization control is performed; then, the local optimization control is performed, and the local optimization control steps include:

[0084] The difference between the load power fluctuation and the steady state is compared with the power of the energy storage device. If the difference between the load power fluctuation and the steady state is greater than zero and less than or equal to the power of the energy storage device, the energy storage device outputs active power to the load side according to the power deficit; otherwise, the energy storage device and each distributed unit jointly perform active power regulation.

[0085] In this embodiment, ΔP is first determined. L and P b If 0<ΔP L ≦P b , then coordinate the energy storage equipment to provide the required power to meet the power shortage on the load side. If 0>ΔP L or ΔP L >P b , then follow the steps below to control:

[0086] If the difference between the load power after fluctuation and the steady state is greater than the power of the energy storage device, the energy storage device and each distributed unit jointly output active power to the load side;

[0087] If the difference between the load power after fluctuation and the steady state is less than zero, the output power of each distributed unit is reduced, and the output power is input to the energy storage device.

[0088] Specifically, if ΔP L >P b , it means that the energy storage device cannot meet the power shortage on the load side, and the distributed units and energy storage devices need to work together to supplement the power shortage. At this time, the optimal solution, that is, the output power ratio of different distributed units, is calculated according to the local optimization objective function. Then, each distributed unit outputs active power to the load side according to the calculated optimal solution, and the energy storage device outputs active power to the load side according to the maximum operating power to quickly achieve active power balance.

[0089] If ΔP L <0, it means that the active power provided by the power supply side is in excess. At this time, the optimal solution is calculated according to the local optimization objective function, and then each distributed unit reduces the output power according to the optimal solution, and the reduced output power is input into the energy storage device for storage, thereby reducing the active power regulation cost and improving the active power regulation efficiency. Of course, while performing local optimization control, global optimization control is also being carried out, so as to ensure the rapid realization of active power balance and the lowest cost of regulation operation. In this embodiment, the global optimization control can refer to the conventional global optimization control, which will not be repeated here.

[0090] In order to prove the control effect of the offshore wind power active power control method provided by the present invention, the effect of the control method of the present invention is verified by waveform simulation test. Figure 4 and Figure 5 They are the DC voltage waveforms before and after optimization. Figure 4 and Figure 5 It can be seen that at 0.2s and 0.4s, the source load is disturbed, resulting in a power difference. Before the optimization control, Figure 4 It can be seen that the DC voltage drops too fast, dropping to about 75% of the rated voltage; after optimized control, Figure 5 It can be seen that the voltage drops to about 81% of the rated voltage, so the control method of the present invention has an obvious optimization effect on the DC voltage.

[0091] Figure 6 and Figure 7 are the AC voltage waveforms before and after optimization, respectively. Figure 6 and Figure 7 It can be seen that at 0.2s, the source load is disturbed, resulting in a power difference. Before the optimization control, Figure 6 It can be seen that the AC voltage drops to about 78% of the rated voltage; after optimized control, Figure 7 It can be seen that the AC voltage drops to about 85% of the rated voltage, so the control method of the present invention also has an obvious optimization effect on the AC voltage.

[0092] It can be seen from the above simulation waveform analysis that the present invention can effectively reduce AC and DC voltage fluctuations and improve the reliability of the entire offshore wind power generation system.

[0093] The present embodiment provides an offshore wind power active power control method, which sets up an active power coordination control strategy combining global optimization control and local optimization control in the space domain, seeks the optimal solution to minimize the cost, and coordinates and mobilizes energy storage and distributed units according to the objective function to supplement or reduce the power difference for the distribution network, absorb or release excess power, and thus quickly adjust the active power balance in the network. The control method provided by the present invention is not only simple and easy to control, but also responds quickly. It can quickly achieve active power balance in the network while minimizing the control cost, thereby improving the operating efficiency and reliability of offshore wind power generation.

[0094] See also Figure 8 Based on the same inventive concept, a second embodiment of the present invention provides an offshore wind power active power control system, comprising:

[0095] The first optimization control module 10 is used to obtain power parameters of the distribution network, perform global optimization on the distribution network according to the power parameters and the global optimization control target, and perform local optimization on the distribution network according to the local optimization control target; wherein the global optimization control target is the minimum power loss in the network, and the local optimization control target is the active power balance control cost;

[0096] The second optimization control module 20 is used to update the power parameters according to the local optimization results, and continue to globally optimize the distribution network according to the updated power parameters and the global optimization control target until the global optimization is completed.

[0097] The technical features and technical effects of the offshore wind power active power control system proposed in the embodiment of the present invention are the same as the method proposed in the embodiment of the present invention, and will not be repeated here. Each module in the above-mentioned offshore wind power active power control system can be implemented in whole or in part by software, hardware and a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory in the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0098] In addition, an embodiment of the present invention further provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above method when executing the computer program.

[0099] See also Fig. 9, an internal structure diagram of a computer device in an embodiment, the computer device may specifically be a terminal or a server. The computer device includes a processor, a memory, a network interface, a display, and an input device connected via a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, an offshore wind power active power control method is implemented. The display screen of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device may be a touch layer covered on the display screen, or a key, trackball or touchpad provided on the housing of the computer device, or an external keyboard, touchpad or mouse, etc.

[0100] It can be understood by those skilled in the art that Fig. 9 The structure shown in the figure is merely a block diagram of a portion of the structure related to the present application scheme, and does not constitute a limitation on the computer device to which the present application scheme is applied. The specific computing device may include more or fewer components than those shown in the figure, or combine certain components, or have the same component arrangement.

[0101] In addition, an embodiment of the present invention further provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps of the above method are implemented.

[0102] In summary, an offshore wind power active power control method, system, device and storage medium proposed in an embodiment of the present invention, the method obtains the power parameters of the distribution network, performs global optimization on the distribution network according to the power parameters and the global optimization control target, and performs local optimization on the distribution network according to the local optimization control target; wherein the global optimization control target is the minimum power loss in the network, and the local optimization control target is the active power balance control cost; the power parameters are updated according to the local optimization results, and the distribution network continues to be globally optimized according to the updated power parameters and the global optimization control target until the global optimization is completed. The present invention uses a control method to mobilize the work of each module with the goal of minimizing cost to achieve coordinated control of active power of offshore wind power and multi-source grid-connected operation. Not only is the control method simple and easy to control, but also the response is fast, and the active power balance in the network can be quickly achieved, and the control cost is effectively controlled, thereby improving the operating efficiency and reliability of offshore wind power generation.

[0103] Each embodiment in this specification is described in a progressive manner, and the same or similar parts of each embodiment can be directly referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment. It should be noted that the technical features of the above-mentioned embodiments can be combined arbitrarily. In order to make the description concise, all possible combinations of the technical features in the above-mentioned embodiments are not described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0104] The above-mentioned embodiments only express several preferred implementation modes of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for ordinary technicians in the technical field, several improvements and substitutions can be made without departing from the technical principles of the present invention, and these improvements and substitutions should also be regarded as the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be based on the protection scope of the claims.

Claims

1. A method for regulating active power of offshore wind power, characterized in that: The method comprises: Obtaining power parameters of the distribution network, performing global optimization on the distribution network according to the power parameters and the global optimization control target, and performing local optimization on the distribution network according to the local optimization control target; wherein the global optimization control target is the minimum power loss in the network, and the local optimization control target is the active power balance control cost; The power parameters are updated according to the local optimization results, and the distribution network is continuously globally optimized according to the updated power parameters and the global optimization control target until the global optimization is completed.

2. The offshore wind power active power control method according to claim 1, characterized in that: The step of locally optimizing the distribution network according to the local optimization control target includes: Compare the difference between the load power after the fluctuation and the steady state with the power of the energy storage device. If the difference between the load power after the fluctuation and the steady state is greater than zero and less than or equal to the power of the energy storage device, the energy storage device outputs active power to the load side according to the power deficit; Otherwise, the energy storage device and each distributed unit jointly perform active power regulation.

3. The offshore wind power active power control method according to claim 2, characterized in that: On the contrary, the steps of jointly performing active power regulation by the energy storage device and each distributed unit include: If the difference between the load power after fluctuation and the steady state is greater than the power of the energy storage device, the energy storage device and each distributed unit jointly output active power to the load side; If the difference between the load power after fluctuation and the steady state is less than zero, the output power of each distributed unit is reduced, and the output power is input to the energy storage device.

4. The offshore wind power active power control method according to claim 3 is characterized in that: The step of jointly outputting active power to the load side by the energy storage device and each distributed unit includes: According to the power parameters and the local optimization target, the output power ratios of different distributed units are calculated; Each distributed unit outputs active power to the load side according to the output power ratio of the different distributed units, and the energy storage device outputs active power to the load side according to the maximum operating load.

5. The offshore wind power active power control method according to claim 3, characterized in that: The step of reducing the output power of each distributed unit and inputting the output power to the energy storage device includes: According to the power parameters and the local optimization target, the output power ratios of different distributed units are calculated; Each distributed unit outputs active power to the energy storage device according to the output power ratio of the different distributed units.

6. The offshore wind power active power control method according to claim 1, characterized in that: The global optimization control objective is expressed by the following formula: Where Y1 is the minimum power loss in the grid under global optimization control, W WTi is the loss of the i-th wind turbine, n is the number of distributed wind power generation units, W bi is the power loss of the energy storage device of the i-th wind turbine group.

7. The offshore wind power active power control method according to claim 1, characterized in that: The local optimization control objective is expressed by the following formula: Where Y2 is the total cost of active power coordinated control, R DGi is the average price of electricity per unit power emitted by the distributed unit, x i is the output power ratio of different distributed units, ΔP L is the difference between the load power fluctuation and the steady state, P b is the power of the energy storage device, R av is the average price of electricity per unit power on the AC bus side; The active power balance constraint is expressed by the following formula: Where P G is the power injected into the distribution network on the AC bus side, P DGi is the actual power emitted by the i-th distributed unit; The optimal solution constraints are expressed using the following formula: When 0<ΔP L ≦P b hour: x i =0,(i=1,2.....n) When 0>ΔP L or ΔP L >P b hour: The following formula is used to express the energy storage charging and discharging constraints: 0.1E≤SOC≤0.9E In the formula, SOC is the energy storage charge state, and E is the rated capacity; The following formula is used to express the power constraint of the distribution network operation: P min ≤P≤P max Where P min and P max are the minimum power and maximum power allowed for the distribution network to operate, and P is the operating power of the distribution network.

8. An offshore wind power active power control system, characterized in that: The system comprises: A first optimization control module is used to obtain power parameters of the distribution network, perform global optimization on the distribution network according to the power parameters and the global optimization control target, and perform local optimization on the distribution network according to the local optimization control target; wherein the global optimization control target is the minimum power loss in the network, and the local optimization control target is the active power balance control cost; The second optimization control module is used to update the power parameters according to the local optimization results, and continue to globally optimize the distribution network according to the updated power parameters and the global optimization control target until the global optimization is completed.

9. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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