Cooperative voltage control method and system based on wind power and energy storage type static var generator

Abstract

The invention provides a cooperative voltage control method and system based on wind power and an energy storage type static var generator, and the method comprises the steps: collecting the real-time operation data of a wind power plant, and enabling the total reactive output of the wind power plant and the reactive output of the energy storage type static var generator SVG to form a combined control quantity; on the basis of the combined control quantity, according to the real-time available reactive power of the wind power plant and the real-time operation state of the energy storage type SVG, reactive power output of the two parties is distributed according to a dynamic proportion, and total real-time reactive power output of the wind power plant is obtained; adjusting and controlling the droop coefficient in real time according to the amplitude of the voltage change, and optimizing the dynamic proportional distribution; and decomposing total real-time reactive power output of the wind power plant into single machines, and executing adaptive Q-V control on each wind driven generator in the wind power plant.

Description

Technical Field

[0001] The present invention belongs to the technical field of power system voltage control, and particularly relates to a coordinated voltage control method and system based on wind power and a energy storage type static var generator (SVG). Background Art

[0002] With the continuous increase of wind power penetration, the output power of wind farms changes violently due to wind speed fluctuations, which in turn causes short-term and persistent deviations of the grid bus voltage. In traditional voltage regulation methods, wind farms are limited by the maximum power tracking mode, and their reactive power capacity dynamically decreases with the active power output. Especially when the wind speed is high, the regulation ability is insufficient. Although the energy storage type SVG has a rapid response, its capacity is limited and it is prone to overload when operating independently, and the lack of coordination with wind farms leads to inefficient reactive power resource allocation. In addition, traditional droop control uses fixed parameters, which are difficult to adapt to the continuous change of the voltage deviation amplitude, and are prone to regulation lag or overshoot. Therefore, there is an urgent need for an adaptive control method for the coordination of wind power and energy storage type SVG, which can improve the response speed and stability of voltage regulation by dynamically coordinating reactive power output and parameter optimization. Summary of the Invention

[0003] The purpose of the present invention is to provide a coordinated voltage control method and system based on wind power and a energy storage type static var generator (SVG) to solve the above problems.

[0004] To achieve the above purpose, the present invention adopts the following technical solutions: In the first aspect, the present invention provides a coordinated voltage control method based on wind power and a energy storage type static var generator (SVG), including: Collecting the real-time operation data of the wind farm, and forming a combined control quantity by the total reactive power output of the wind farm and the reactive power output of the energy storage type static var generator (SVG); Based on the combined control quantity, according to the real-time available reactive power capacity of the wind farm and the real-time operation state of the energy storage type SVG, distributing the reactive power output of both parties according to a dynamic ratio to obtain the total real-time reactive power output of the wind farm; Adjusting the control droop coefficient in real time according to the amplitude of the voltage change to optimize the dynamic ratio distribution; Decomposing the total real-time reactive power output of the wind farm to each unit, and performing adaptive Q-V control on each wind turbine in the wind farm.

[0005] Further, the collecting the real-time operation data of the wind farm includes: Collecting the rated apparent power of the wind farm S rated , the active power P w , the terminal voltage V , the active power of each wind turbine P w,i and the maximum reactive power capacity of the energy storage type SVGQ svg_max 。

[0006] Furthermore, the composition of the total reactive power output of the wind farm and the reactive power output of the energy storage static var generator (SVG) into a combined control variable includes: Establish a combined regulation model for the wind farm and the energy storage SVG, and the total reactive power output of the wind farm Q w and the reactive power output of the energy storage SVG Q svg are composed into a combined control variable as follows: 。

[0007] Furthermore, based on the combined control variable, according to the real-time available reactive power capacity of the wind farm and the real-time operating state of the energy storage SVG, the reactive power outputs of both sides are distributed according to a dynamic ratio to obtain the total reactive power demand of the wind farm, including: The total real-time reactive power output of the wind farm Q w is:

[0008] where α is the dynamic coordination distribution coefficient between the wind farm and the energy storage SVG, K is the droop coefficient, ΔV is the difference between the bus voltage and the reference voltage; the compensation amount of the real-time reactive power output of the energy storage SVG Q svg is:

[0009] where Q w_max is determined by the current active power output of the wind farm P w :

[0010] S rated is the rated apparent power of the wind farm.

[0011] Furthermore, the optimization of the dynamic ratio distribution by adjusting the control droop coefficient in real time according to the amplitude of the voltage change includes: The adjustment process of the droop coefficient K satisfies:

[0012] where, K 0 is the reference droop coefficient, β is the gain coefficient, V refis the reference voltage.

[0013] Furthermore, the hyperbolic tangent function tanh is used to achieve smooth transition and avoid parameter mutation: when the voltage deviation ΔV is small, the droop coefficient K is close to the reference value K 0; when ΔV increases, K non-linearly increases with the function tanh, enhancing the regulation intensity.

[0014] Furthermore, decomposing the total real-time reactive power output of the wind farm to each single machine, and performing adaptive Q-V control on each wind turbine in the wind farm, including: Adaptive Q-V control:

[0015] Among them, Q w,i is the reactive power released by the i th wind turbine in the wind farm, Q w is the total reactive power of the wind farm, is the maximum reactive power capacity of the i th wind farm, N is the number of wind turbines in the wind farm.

[0016] On the second aspect, the present invention provides a coordinated voltage control system based on wind power and energy storage type static var generator, including: A data acquisition module, which is used to collect the real-time operation data of the wind farm and form a combined control quantity from the total reactive power output of the wind farm and the reactive power output of the energy storage type static var generator SVG; A distribution module, which is used to based on the combined control quantity, according to the real-time available reactive power capacity of the wind farm and the real-time operation state of the energy storage type SVG, allocate the reactive power output of both parties according to a dynamic ratio to obtain the total real-time reactive power output of the wind farm; An optimization module, which is used to adjust the control droop coefficient in real time according to the amplitude of the voltage change and optimize the dynamic ratio distribution; A control output module, which is used to decompose the total real-time reactive power output of the wind farm to each single machine and perform adaptive Q-V control on each wind turbine in the wind farm.

[0017] On the third aspect, the present invention provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of the coordinated voltage control method based on wind power and energy storage type static var generator.

[0018] Fourthly, the present invention provides a computer-readable storage medium storing a computer program, and when the computer program is executed by a processor, the steps of the collaborative voltage control method based on wind power and a static var generator with energy storage are implemented.

[0019] Compared with the prior art, the present invention has the following technical effects: Collaborative dynamic regulation to improve the utilization rate of reactive power capacity: By constructing a joint control model of a wind farm and a static var generator with energy storage, the reactive power outputs of the two are dynamically and collaboratively allocated. When the reactive power capacity of the wind farm is insufficient, the static var generator with energy storage supplements the reactive power gap, solving the problem of insufficient regulation ability when a traditional wind farm operates alone. At the same time, the dynamic distribution coefficient α is adjusted based on the real-time states of both parties, optimizing the distribution efficiency of reactive power resources and avoiding the capacity limitation and overload risk when the static var generator with energy storage operates independently.

[0020] Adaptive droop coefficient optimization to enhance voltage response ability: Introduce an adaptive adjustment mechanism for the droop coefficient based on the amplitude of voltage deviation, and use the hyperbolic tangent function to achieve smooth transition. When the voltage deviation is small, the droop coefficient approaches the reference value to ensure stable regulation; when the voltage deviation increases, the droop coefficient non-linearly enhances the regulation intensity, avoiding both the lag or overshoot problems of traditional fixed-parameter droop control and improving the adaptability of the system to voltage fluctuations.

[0021] Single-machine adaptive Q-V control to improve response speed and stability: Decompose the total reactive power demand to each wind turbine, and combine the real-time maximum reactive power capacity of each turbine (determined by its current active power output) to adaptively allocate reactive power output. Low-wind-speed turbines give priority to releasing more reactive power, and high-wind-speed turbines reduce reactive power output, realizing the dynamic optimal allocation of internal resources in the wind farm, ensuring rapid response when the voltage fluctuates and maintaining the stability of the power grid.

[0022] Combination of global optimization and local coordination: Through the joint control model and hierarchical optimization (global dynamic allocation and single-machine adaptive control), taking into account both the overall regulation efficiency and local flexibility of the system, solving the problem of low-efficiency resource allocation caused by the lack of coordination between wind power and SVG in traditional methods, and significantly improving the voltage regulation ability of the system. Description of the Drawings

[0023] Figure 1 is the main system control flow chart of the present invention. Detailed Embodiments

[0024] The present invention is further described below with reference to the drawings: Please refer to Figure 1 , in view of the demand for suppressing voltage fluctuations in the scenario of high-proportion wind power grid connection, the present invention proposes an adaptive voltage regulation and control method based on the collaboration of wind power and a static var generator with energy storage.

[0025] The core lies in constructing a combined regulation model for wind power-energy storage SVG, and through adaptive parameter adjustment and dynamic power distribution strategies, faster and more stable voltage regulation is achieved. The specific technical solutions include: 1. Combined regulation model for wind farm and energy storage SVG Establish the reactive power output of the wind farm Q w and the reactive power output of the energy storage SVG Q svg for the coordinated control quantity. The total reactive power compensation quantity is:

[0026] 2. Dynamic coordinated distribution strategy The wind farm and the energy storage SVG jointly participate in voltage regulation according to the real-time state. The specific distribution method is as follows: ,

[0027] The distribution coefficient α reflects the available reactive power capabilities of both sides, and the calculation method is as follows:

[0028] 3. Adaptive optimization of droop coefficient Use a non-linear function to adjust the droop coefficient in real time K , improving the sensitivity of voltage deviation response:

[0029] Use the hyperbolic tangent function tanh to achieve smooth transition and avoid parameter mutation: when the voltage deviation ΔV is small, the droop coefficient K is close to the reference value K 0; when ΔV increases, K non-linearly increases with the function tanh, enhancing the regulation intensity.

[0030] 4. Adaptive Q-V distribution strategy In view of the different active power and maximum reactive power capacities of each wind turbine in the wind farm, an adaptive Q-V distribution strategy is proposed:

[0031] So that each wind turbine in the wind farm can perform adaptive regulation. Wind turbines with lower wind speeds and larger reactive power capabilities input more reactive power, and wind turbines with higher wind speeds and lower reactive power capacities input less reactive power, enabling the wind farm to quickly respond to voltage fluctuations and adaptively distribute reactive power demands according to the real-time reactive power capacities of each wind turbine.

[0032] Among them, the real-time maximum reactive power capacity of each wind turbine Q w,i can be determined according to the following formula:

[0033] Embodiment: Step 1: Data acquisition and initialization 1. Real-time data monitoring: Collect the rated apparent power of the wind farm S rated , active power P w , terminal voltage V , the active power of each wind turbine P w,i and the maximum reactive power capacity of the energy storage type SVG Q svg_max ; 2. Parameter initialization: Set the reference droop coefficient K 0, regulation gain β and the grid reference voltage V ref ; Step 2: Joint reactive power regulation of the wind farm and the energy storage type SVG 1. Calculate the voltage deviation:

[0034] 2. Determine the reactive power output of the wind power Q w : According to the current active power output of the wind farm P w , calculate its maximum reactive power capacity and output reactive power proportionally:

[0035] 3. Supplementary output of the energy storage type SVG:

[0036] The utilization factor α reflects the reactive power output distribution ratio between the two parties:

[0037] Step 3: Reactive power adaptive control of a single wind turbine Each wind turbine in the wind farm distributes reactive power output according to its own reactive power capacity:

[0038] Step 4: Adaptive parameter adjustment Continuously update and optimize the droop coefficient K along with the voltage deviation: 。

[0039] In another embodiment of the present invention, a coordinated voltage control system based on wind power and a static var generator with energy storage is provided, which can be used to implement the above-mentioned coordinated voltage control method for wind power and a static var generator with energy storage. Specifically, the system includes: A data acquisition module, configured to acquire real-time operation data of a wind farm, and form a combined control quantity by combining the total reactive power output of the wind farm and the reactive power output of the static var generator with energy storage (SVG); A distribution module, configured to, based on the combined control quantity, according to the real-time available reactive power capacity of the wind farm and the real-time operation state of the energy storage SVG, distribute the reactive power outputs of both parties according to a dynamic ratio to obtain the total real-time reactive power output of the wind farm; An optimization module, configured to adjust the control droop coefficient in real time according to the amplitude of the voltage change to optimize the dynamic ratio distribution; A control output module, configured to decompose the total real-time reactive power output of the wind farm to individual units and perform adaptive Q-V control on each wind turbine in the wind farm.

[0040] The division of modules in the embodiments of the present invention is illustrative. It is only a logical function division. In actual implementation, there may be other division methods. In addition, in each embodiment of the present invention, the functional modules can be integrated in one processor, or can exist independently physically, or two or more modules can be integrated in one module. The above integrated modules can be implemented in the form of hardware or in the form of software function modules.

[0041] In another embodiment of the present invention, a computer device is provided. The computer device includes a processor and a memory. The memory is used to store a computer program, and the computer program includes program instructions. The processor is used to execute the program instructions stored in the computer storage medium. The processor may be a Central Processing Unit (CPU), or may also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable Gate Arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, and is suitable for implementing one or more instructions. Specifically, it is suitable for loading and executing one or more instructions in the computer storage medium to implement the corresponding method flow or corresponding function. The processor described in the embodiment of the present invention can be used for operations based on the coordinated voltage control method of wind power and energy storage static var generators.

[0042] In another embodiment of the present invention, a storage medium is also provided, specifically a computer-readable storage medium (Memory). The computer-readable storage medium is a memory device in a computer device and is used to store programs and data. It can be understood that the computer-readable storage medium here can include both the built-in storage medium in the computer device and, of course, the extended storage medium supported by the computer device. The computer-readable storage medium provides a storage space, and the operating system of the terminal is stored in this storage space. And, one or more instructions suitable for being loaded and executed by the processor are also stored in this storage space. These instructions can be one or more computer programs (including program codes). It should be noted that the computer-readable storage medium here can be a high-speed RAM memory or a non-volatile memory, such as at least one disk memory. The one or more instructions stored in the computer-readable storage medium can be loaded and executed by the processor to implement the corresponding steps of the coordinated voltage control method of wind power and energy storage static var generators in the above embodiments.

[0043] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0044] The present invention is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to embodiments of the present invention. It should be understood that each flow and / or block in the flowchart and / or block diagram, and the combination of flows and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices generate means for implementing the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0045] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing devices to work in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including instruction means that implement the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0046] These computer program instructions can also be loaded onto a computer or other programmable data processing devices, such that a series of operation steps are executed on the computer or other programmable devices to generate a computer-implemented process, and thus the instructions executed on the computer or other programmable devices provide steps for implementing the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0047] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications or equivalent replacements can still be made to the specific embodiments of the present invention, and any modifications or equivalent replacements that do not depart from the spirit and scope of the present invention should be covered by the protection scope of the claims of the present invention.

Claims

1. A coordinated voltage control method for wind power and energy storage static var generators, characterized in that Including: Collecting the real-time operation data of the wind farm, and forming a combined control quantity by combining the total reactive power output of the wind farm and the reactive power output of the energy storage static var generator (SVG); Based on the combined control quantity, according to the real-time available reactive power capacity of the wind farm and the real-time operation state of the energy storage SVG, dynamically proportionally distributing the reactive power outputs of both sides to obtain the total real-time reactive power output of the wind farm; According to the amplitude of the voltage change, adjusting the control droop coefficient in real time to optimize the dynamic proportional distribution; Decomposing the total real-time reactive power output of the wind farm to each single machine, and performing adaptive Q-V control on each wind turbine in the wind farm.

2. The coordinated voltage control method based on wind power and energy storage static var generator according to claim 1, wherein, The collecting the real-time operation data of the wind farm includes: Collect the rated apparent power of the wind farm S rated , active power P w , terminal voltage V , active power of each wind turbine P w,i and the maximum reactive power capacity of the energy storage type SVG Q svg_max .

3. The coordinated voltage control method based on wind power and energy storage static var generator according to claim 1, characterized in that The forming a combined control quantity by combining the total reactive power output of the wind farm and the reactive power output of the energy storage static var generator (SVG) includes: Establish a joint regulation model of a wind farm and an energy storage type SVG, and combine the total reactive power output of the wind farm Q w with the reactive power output of the energy storage type SVG Q svg to form the following joint control quantity: 。 4. The coordinated voltage control method based on wind power and energy storage static var generator according to claim 1, wherein The based on the combined control quantity, according to the real-time available reactive power capacity of the wind farm and the real-time operation state of the energy storage SVG, dynamically proportionally distributing the reactive power outputs of both sides to obtain the total reactive power demand of the wind farm includes: Total real-time reactive power output of the wind farm Q w is as follows: where α is the dynamic coordination distribution coefficient of the wind farm and the energy storage type SVG, K is the droop coefficient, ΔV is the difference between the bus voltage and the reference voltage; the reactive power output of the energy storage type SVG in real time Q svg The compensation amount is: Among them Q w_max Determined by the current active power output of the wind farm P w Decision: S rated is the rated apparent power of the wind farm.

5. The coordinated voltage control method based on wind power and energy storage static var generator according to claim 1, wherein The according to the amplitude of the voltage change, adjusting the control droop coefficient in real time to optimize the dynamic proportional distribution includes: Drooping coefficient K The adjustment process satisfies: Among them, K 0 is the reference sag coefficient, β is the gain coefficient, V ref is the reference voltage.

6. The coordinated voltage control method based on wind power and energy storage type static var generator according to claim 5, wherein Use the hyperbolic tangent function tanh to achieve smooth transition and avoid parameter mutation: When the voltage deviation ΔV is small, the droop coefficient K is close to the reference value K 0; when ΔV increases, K increases non-linearly with the function tanh to enhance the regulation intensity.

7. The coordinated voltage control method based on wind power and energy storage static var generator according to claim 1, characterized in that The decomposing the total real-time reactive power output of the wind farm to each single machine, and performing adaptive Q-V control on each wind turbine in the wind farm includes: Adaptive Q-V control: Among them, Q w,i is the reactive power released by the i th wind turbine in the wind farm, Q w is the total reactive power of the wind farm, is the i th wind farm's maximum reactive power capacity, N is the number of wind turbines in the wind farm.

8. A coordinated voltage control system based on wind power and an energy storage static var generator, characterized in that Including: A data acquisition module, configured to collect the real-time operation data of the wind farm, and form a combined control quantity by combining the total reactive power output of the wind farm and the reactive power output of the energy storage static var generator (SVG); A distribution module, configured to based on the combined control quantity, according to the real-time available reactive power capacity of the wind farm and the real-time operation state of the energy storage SVG, dynamically proportionally distribute the reactive power outputs of both sides to obtain the total real-time reactive power output of the wind farm; An optimization module, configured to according to the amplitude of the voltage change, adjust the control droop coefficient in real time to optimize the dynamic proportional distribution; A control output module, configured to decompose the total real-time reactive power output of the wind farm to each single machine, and perform adaptive Q-V control on each wind turbine in the wind farm.

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, it implements the steps of the coordinated voltage control method based on wind power and energy storage static var generator as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the coordinated voltage control method based on wind power and energy storage static var generator as described in any one of claims 1 to 7.

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