New energy model splicing method based on CIM for AVC control

Abstract

The application relates to the technical field of automatic voltage control of power systems, and particularly discloses a new energy model splicing method based on CIM for AVC control, which comprises the following specific steps: standardizing the description of wind power and photovoltaic new energy equipment based on CIM; establishing a new energy splicing model to uniformly process the wind power new energy equipment and the photovoltaic new energy equipment; integrating the new energy splicing model with AVC control through a standardized interface; and establishing a closed-loop feedback mechanism between the new energy splicing model and AVC control.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of automatic voltage control of power systems, in particular to a new energy model splicing method based on CIM for AVC control and a new energy model splicing device based on CIM for AVC control. BACKGROUND

[0002] With the increasing demand for clean energy worldwide, wind energy, solar energy and other new energy generation methods are introduced into power systems on a large scale. Such new energy has the characteristics of intermittency, volatility and uncertainty, which poses a great challenge to the voltage stability of the power grid. Especially in the case of large-scale new energy access, the traditional AVC system is difficult to cope with. The random fluctuations of new energy generation power will cause instability of the grid voltage, and the existing AVC system is not competent in terms of voltage regulation accuracy and response speed, which threatens the safety and reliability of the grid operation. SUMMARY

[0003] In order to overcome the above-mentioned defects of the prior art, the application provides a new energy model splicing method based on CIM for AVC control and a new energy model splicing device based on CIM for AVC control. The model splicing of wind power and photovoltaic new energy equipment is realized through the standardized description based on CIM, the uniformity of the data structure is ensured, the grid connection is compatible, the AVC control is integrated, the closed-loop feedback mechanism is established, the voltage regulation accuracy and response speed are improved, the running state of the new energy equipment is obtained in real time, and dynamic control is carried out based on the running state to cope with the volatility and intermittency of new energy, so as to realize the stable regulation of the grid voltage and reduce the influence of power fluctuation on the stability of the grid, thereby solving the problems raised in the above background.

[0004] According to an aspect of the application, a new energy model splicing method based on CIM for AVC control is provided, comprising the following steps: step S1, standardizing the description of wind power and photovoltaic new energy equipment based on CIM, standardizing the geometric shape, power generation power characteristics and interface position information of different types of new energy equipment through a unified data structure, and realizing the consistency of the data structure of different types of equipment; step S2, establishing a new energy splicing model, and uniformly processing the wind power and photovoltaic new energy equipment, the formula of the new energy splicing model is: wherein P total (t) is the total power output of the wind power and photovoltaic new energy equipment after grid connection at time t, wind is the power of the wind power new energy equipment, pv is the power of the photovoltaic new energy equipment, η i is the energy conversion efficiency of the i-th new energy equipment, The power generation voltage of the i th new energy equipment, The current generated by the i th new energy equipment at time t, cos(θ i ) is the power factor, θ i is the phase angle, T i is the conversion coefficient of the i th new energy equipment, R i is the cable resistance of the i th new energy equipment, is the power generation current square of the i th new energy equipment, k i is the cable length and power loss coefficient, ΔL i is the cable length change of the i th new energy equipment, is the output power of the i th new energy equipment after being processed by the inverter or transformer at time t; step S3, the new energy splicing model is integrated with the AVC control through a standardized interface, and the new energy splicing model continuously transmits real-time power generation data to the AVC control. In the integration process, the new energy equipment is connected to the AVC control through a CIM standardized data structure; step S4, the new energy splicing model and the AVC control establish a closed-loop feedback mechanism, reasonably allocate the power generation tasks between the wind power and photovoltaic equipment, and realize dynamic control balance of the power grid.

[0005] Optionally, in step S2, the interface types, data formats and communication protocols of the wind power new energy equipment and the photovoltaic new energy equipment are different, a standardized model is established to unify all interfaces to a consistent physical layer to ensure the compatibility between devices in physical connection, and the formula of the standardized model is: N(E)=(P elec (E), P comm (E), P data (E), P ctrl (E)), wherein E is the wind power new energy equipment and the photovoltaic new energy equipment, N(E) is the standardized wind power new energy equipment and the photovoltaic new energy equipment, P elec (E) is the electrical interface standardization part of the wind power new energy equipment and the photovoltaic new energy equipment, P comm (E) is the communication protocol standardization part of the wind power new energy equipment and the photovoltaic new energy equipment, which is used to ensure the compatibility of the data interface, P data (E) is the standardization part of the data interface, which describes the data format and transmission mode of the new energy equipment, P ctrl (E) is the standardization part of the control instruction interface, which describes the standardized form of the control command.

[0006] Optionally, in step S2, different devices have different data sampling frequencies and time delays due to their respective characteristics and operating conditions. Therefore, directly fusing the data of the devices will lead to inconsistencies and errors in timing. A data synchronization model is established to align the data from different new energy devices in time so that the status information of each device can be expressed on the same time scale. The formula of the data synchronization model is: Among them, D s is a synchronized data set, which represents the synchronized data set of wind power new energy equipment and photovoltaic new energy equipment. p is the sampling time point of wind power new energy equipment, t p+1 is the next sampling time point of wind power new energy equipment, D w (t p ) is the data sampled by the wind power new energy equipment at the sampling time point tp, D w (t p+1 ) is the sampling time point t p+1 The data sampled by wind power new energy equipment, α w is the first interpolation coefficient, which is used to calculate the relative position between two adjacent time points of the wind power new energy equipment, t q is the sampling time point of photovoltaic new energy equipment, t q+1 The next sampling time point of photovoltaic new energy equipment, D p (t q ) is the sampling time point t q The data sampled by photovoltaic new energy equipment, D p (t q+1 ) is the sampling time point t q+ The data sampled by photovoltaic new energy equipment at 1 o'clock, α p is the second interpolation coefficient, which is used to calculate the relative position between two adjacent time points of the photovoltaic new energy device.

[0007] Optionally, in step S2, when establishing the new energy splicing model, the data aggregation process includes denoising, outlier processing and data hierarchical management, and the data is divided into the original layer, the aggregation layer and the scenario layer. The original layer stores the collected data, the aggregation layer is integrated into a unified indicator set, and the scenario layer generates control and decision data views.

[0008] Optionally, in step S3, when the new energy splicing model is integrated with the AVC control, real-time communication is carried out through a standardized interface. The new energy splicing model transmits power generation data to the AVC control. The AVC control dynamically controls the new energy splicing model and adaptively adjusts the control strategy according to the power generation characteristics of different equipment to achieve coordinated grid connection of new energy.

[0009] Optionally, in the step S4, the new energy splicing model and the AVC control establish a closed-loop feedback mechanism, the AVC control monitors the new energy equipment state, identifies abnormal fluctuations and sends adjustment instructions, predicts the load change trend based on historical data and current conditions, performs parameter setting in advance, realizes feedforward control, reasonably allocates power generation tasks, reduces power fluctuation risk, and realizes the balance between steady-state and dynamic control of the power grid.

[0010] Optionally, in the step S1, the standardized description of the geometric shape includes the size, layout and specific installation position information of the new energy equipment, for wind power new energy equipment, the geometric shape description includes the tower height of the wind turbine, the length of the blade and the physical size of the wind turbine, for photovoltaic new energy equipment, the geometric shape description includes the arrangement of the photovoltaic module, the size of the photovoltaic panel and the installation inclination angle, and the CIM uses a unified data representation format to store the geometric information of the wind power and photovoltaic new energy equipment.

[0011] Optionally, in the step S1, the standardized description of the power generation power characteristic includes the power output characteristic of the new energy equipment under different operating conditions, for wind power new energy equipment, the CIM is used to describe the power generation curve of the wind turbine under different wind speed conditions, including the rated power, starting wind speed and cut-out wind speed parameters, for photovoltaic new energy equipment, the CIM is used to describe the output power characteristic under different light intensity and temperature conditions, and the power generation power characteristic is standardized in the CIM as a unified function representation, so that the AVC control obtains and calculates the real-time power generation capacity of various new energies.

[0012] Optionally, in the step S1, the standardized description of the interface position information relates to the position and type of the electrical interface and communication interface of the wind power new energy equipment and the photovoltaic new energy equipment, the electrical interface is used to describe the physical connection mode of the new energy equipment and the power grid, including the specific position of the grid connection point, the interface type and the voltage level, so that the wind power, photovoltaic new energy equipment can meet the unified electrical requirements in the grid connection process, and the position description of the communication interface includes the data acquisition point, the communication protocol and the physical position of the interface.

[0013] According to another aspect of the present application, a new energy model splicing device based on CIM for AVC control is provided, comprising: a processing unit configured to standardize the geometric shape, power generation power characteristic and interface position information of different types of new energy equipment by a unified data structure based on CIM, so as to realize consistent data structure of different types of equipment; a first establishing unit configured to establish a new energy splicing model, and uniformly process the wind power new energy equipment and the photovoltaic new energy equipment, the formula of the new energy splicing model being: P total(t) is the total power output after the wind power new energy equipment and the photovoltaic new energy equipment are connected to the grid, wind is the power of the wind power new energy equipment, pv is the power of the photovoltaic new energy equipment, η i is the energy conversion efficiency of the i th new energy equipment, is the power generation voltage of the i th new energy equipment, is the current generated by the i th new energy equipment at time t, cos (θ i ) is the power factor, θ i is the phase angle, T i is the conversion coefficient of the i th new energy equipment, R i is the cable resistance of the i th new energy equipment, is the power generation current square of the i th new energy equipment, k i is the cable length and power loss coefficient, ΔL i is the cable length change of the i th new energy equipment, is the output power of the i th new energy equipment after being processed by the inverter or transformer at time t; an integration unit is used for the new energy splicing model to be integrated with the AVC control through a standardized interface, and the new energy splicing model continuously transmits real-time power generation data to the AVC control, and in the integration process, the new energy equipment is connected to the AVC control through a CIM standardized data structure; a second establishment unit is used for the new energy splicing model and the AVC control to establish a closed-loop feedback mechanism, reasonably allocate the power generation tasks between the wind power and photovoltaic equipment, and realize dynamic control balance of the power grid.

[0014] The application realizes model splicing of wind power new energy equipment and photovoltaic new energy equipment based on the CIM standardized description, ensures the uniformity of the data structure, can be compatible with the grid, integrated with the AVC control, establish a closed-loop feedback mechanism, improve the voltage regulation accuracy and response speed, and real-time obtain the running state of the new energy equipment, and based on the running state, dynamically control to cope with the randomness and intermittence of the new energy, so as to realize stable regulation of the power grid voltage, reduce the influence of power fluctuation on the stability of the power grid, and enhance the overall stability and power quality of the power grid. BRIEF DESCRIPTION OF DRAWINGS

[0015] The drawings accompanying the specification of this application form a part of this application and serve to further provide a further understanding of the application, the illustrative embodiments of the application and its description serve to explain the application and do not limit the application in any manner. In the drawings:

[0016] Figure 1 is a flowchart of a new energy model splicing method based on CIM in the AVC control of the application;

[0017] Figure 2 is a schematic diagram of a power grid AVC system layering and partitioning in the prior art;

[0018] Figure 3 The figure is a structural diagram of a CIM-based new energy model splicing device for AVC control according to the present invention. DETAILED DESCRIPTION

[0019] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only 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 making creative efforts are within the scope of protection of the present invention.

[0020] Example 1

[0021] See Figure 1 As shown in the method flow chart, an embodiment of the present invention provides a CIM-based new energy model splicing method for AVC control, which includes the following steps:

[0022] Step S1, standardize the description of wind power and photovoltaic new energy equipment based on CIM;

[0023] Step S2, establishing a new energy splicing model to unify wind power new energy equipment and photovoltaic new energy equipment;

[0024] Step S3, the new energy splicing model is integrated with the AVC control through a standardized interface;

[0025] Step S4: The new energy splicing model and AVC control establish a closed-loop feedback mechanism.

[0026] In this embodiment, see Figure 2 The diagram shown is a schematic diagram of a hierarchical partitioning system for an AVC system in the prior art. This system establishes a coordinated dispatch control model and defines coordination constraints for buses, generators, reactive power margin, and power. Under these coordination constraints, the hierarchical partitioning structure of the AVC system is determined. The distance between any two nodes to be partitioned in the voltage and reactive power control space is calculated, and the voltage and reactive power control regions are divided. The optimized coordinated control matrix is ​​determined based on sensitivity, achieving automatic optimized coordinated control of the AVC system. However, this system suffers from limitations in voltage regulation accuracy and response speed.

[0027] As a further solution of the present invention, a standardized description of wind power and photovoltaic new energy equipment is performed based on CIM, including the following specific contents:

[0028] When the wind power and photovoltaic new energy equipment are standardized described based on CIM, the geometric shape, power generation characteristic and interface position information of different types of new energy equipment are standardized by unified data structure, the geometric shape includes the size, layout and specific installation position information of the new energy equipment, for the wind power new energy equipment, the geometric shape description involves the tower height of the wind turbine, the length of the blade and the physical size of the wind turbine, for the photovoltaic new energy equipment, the geometric shape description covers the arrangement of the photovoltaic components, the size of the photovoltaic panel and the installation inclination angle, the CIM uses a unified data representation format to store the geometric information of the above-mentioned wind power and photovoltaic new energy equipment; the power generation characteristic includes the power output characteristic of the new energy equipment under different operating conditions, for the wind power new energy equipment, the CIM describes the power generation curve of the wind turbine under different wind speed conditions, including the rated power, the starting wind speed and the cut-out wind speed parameters, for the photovoltaic new energy equipment, the output power characteristic under different light intensity and temperature conditions is described, the above-mentioned power generation characteristic is standardized as a unified function representation in the CIM, so that the AVC control obtains and calculates the real-time power generation capacity of various types of new energy, in addition, the description of the above-mentioned power generation characteristic also considers the dynamic characteristic, that is, the change rule of the power output of the wind power new energy equipment and the photovoltaic new energy equipment when the wind speed or light changes; the standardized description of the interface position information involves the position and type of the electrical interface and the communication interface of the wind power new energy equipment and the photovoltaic new energy equipment, the electrical interface describes the physical connection mode of the new energy equipment and the power grid, including the specific position of the grid-connected point, the interface type and the voltage level, so that the wind power, photovoltaic new energy equipment can meet the unified electrical requirements in the process of grid connection, the position description of the communication interface includes the data acquisition point, the communication protocol and the physical position of the interface; by standardizing the geometric shape, power generation characteristic and interface position of the new energy equipment based on CIM, the data structure of different types of equipment can be consistent, so that the wind power new energy equipment and the photovoltaic new energy equipment have compatibility and interoperability in physical connection, data communication, operation scheduling and the like.

[0029] Further, a new energy splicing model is established to unify the wind power new energy equipment and the photovoltaic new energy equipment, including that the interface type, data format and communication protocol of the wind power new energy equipment and the photovoltaic new energy equipment are different, which makes it difficult to directly exchange and splice information between the wind power new energy equipment and the photovoltaic new energy equipment. The standardization adaptation of the interface type by CIM can ensure that all new energy equipment uses unified data interface and communication format. Firstly, the physical interface and data interface of the wind power new energy equipment and the photovoltaic new energy equipment are analyzed and standardized, a standardized model is established, all interfaces are unified to the same physical layer to ensure the compatibility between devices in physical connection. The formula of the standardized model is: N(E)=(P elec (E),P comm (E),P data (E),P ctrl (E)),wherein E is the wind power new energy equipment and the photovoltaic new energy equipment, N(E) is the standardized wind power new energy equipment and the photovoltaic new energy equipment, P elec (E) is the electrical interface standardization part of the wind power new energy equipment and the photovoltaic new energy equipment, P comm (E) is the communication protocol standardization part of the wind power new energy equipment and the photovoltaic new energy equipment, used to ensure the compatibility of the data interface, P data (E) is the standardization part of the data interface, describing the data format and transmission mode of the new energy equipment, P ctrl (E) is the standardization part of the control instruction interface, describing the standardized form of the control command.

[0030] In the new energy power generation system, different devices have different data sampling frequencies and time delays due to their own characteristics and operating conditions, so directly fusing the data of the devices will cause inconsistency and errors in time sequence. In order to solve these problems, the data must be synchronized and aggregated, a data synchronization model is established to align the data from different new energy devices in time, so that the state information of each device can be expressed on the same time scale. The formula of the data synchronization model is: wherein D s is a synchronized data set, representing the synchronized set of the wind power new energy equipment and the photovoltaic new energy equipment, t p is the sampling time point of the wind power new energy equipment, t p+1 is the next sampling time point of the wind power new energy equipment, D w (t p ) is the data sampled by the wind power new energy equipment at the sampling time point t p , D w (t p+1 ) is the data sampled by the wind power new energy equipment at the next sampling time point tp+1 the data sampled by the wind power new energy equipment at time point t w is a first interpolation coefficient, used to calculate the relative position between two adjacent time points of the wind power new energy equipment, t q is a sampling time point of the photovoltaic new energy equipment, t q+1 is a next sampling time point of the photovoltaic new energy equipment, D p (t q ) is the data sampled by the photovoltaic new energy equipment at time point t q D p (t q+1 ) is the data sampled by the photovoltaic new energy equipment at time point t q+1 D p is a second interpolation coefficient, used to calculate the relative position between two adjacent time points of the photovoltaic new energy equipment;

[0031] The above aggregation processing refers to integrating the running data of the synchronized new energy equipment to form a whole system data set. In the above data aggregation process, multiple aspects need to be considered, including data denoising, abnormal point processing and hierarchical management of data, using a filtering algorithm to reduce noise in the data to ensure that the aggregated data has high precision and stability. At the same time, for some abnormal data points, abnormal detection and correction are performed to prevent the above abnormal data points from affecting subsequent control. The data is divided into an original layer, an aggregation layer and a scene layer. In the original layer, the collected data of the wind power new energy equipment and the photovoltaic new energy equipment is stored to ensure that all historical data is saved. In the aggregation layer, the data from different equipment is integrated into a unified index set through data processing and feature extraction. In the scene layer, a data view for control and decision-making is generated through further data abstraction and analysis.

[0032] A new energy splicing model is established to uniformly process the wind power new energy equipment and the photovoltaic new energy equipment, integrate them into the power grid, and operate as a whole. The formula of the above new energy splicing model is: wherein P total (t) is the total power output of the wind power new energy equipment and the photovoltaic new energy equipment after being connected to the grid at time t, wind is the power of the wind power new energy equipment, pv is the power of the photovoltaic new energy equipment, η i is the energy conversion efficiency of the i th new energy equipment, indicating the efficiency of the wind power new energy equipment or the photovoltaic new energy equipment in the process of converting electric energy, is the power generation voltage of the i th new energy equipment, indicating the original power generation voltage generated by the wind power new energy equipment or the photovoltaic new energy equipment at time t, is the current generated by the i th new energy equipment at time t, cos(θ i) is the power factor, indicating the phase difference between the current and voltage generated by the wind power new energy equipment or photovoltaic new energy equipment, θ i is the phase angle, T i is the transformation coefficient of the i-th new energy equipment, indicating the coefficient of the transformer or inverter converting the voltage and current of the wind power new energy equipment or photovoltaic new energy equipment into standard grid parameters, R i is the cable resistance of the i-th new energy equipment, is the generated current square of the i-th new energy equipment, k i is the cable length and power loss coefficient, ΔL i is the cable length change of the i-th new energy equipment, is the output power of the i-th new energy equipment after passing through the inverter or transformer at time t, by calculating the power, compensating for the transmission loss and dynamically adjusting the equipment output mode, the above new energy splicing model provides data support for AVC control, enabling it to quickly and efficiently adjust the voltage level, improving the accuracy and response speed of voltage regulation.

[0033] Further, the new energy splicing model is integrated with the AVC control through a standardized interface, including: the integration of the above new energy splicing model and the AVC control ensures the grid connection and stable operation of the wind power new energy equipment and the photovoltaic new energy equipment, the above new energy splicing model communicates with the above AVC control in real time through a standardized interface to provide equipment operating state data and receive control instructions, the above new energy splicing model continuously transmits real-time power generation data such as voltage, current, power, etc. to the above AVC control, which is used to evaluate the overall operating state of the grid after being processed by the above AVC control, the above AVC control dynamically controls the above new energy splicing model, such as sending instructions to adjust reactive power, adjust active power, etc. to ensure that the fluctuation characteristics of new energy do not negatively affect the grid; during integration, the new energy equipment is connected to the above AVC control through the CIM standardized data structure, ensuring that data transmission and control instruction execution can be seamlessly performed, in addition, the above AVC control also needs to adaptively adjust the control strategy according to the power generation characteristics of different equipment to cope with changes in wind speed, light intensity and other environmental factors, through integration, the above AVC control can effectively adjust the output characteristics of new energy equipment, enhance the stability of the grid and improve power quality, ultimately realizing the coordinated grid connection of multiple types of new energy.

[0034] Further, the new energy splicing model and the AVC control establish a closed-loop feedback mechanism, including: due to the randomness and intermittence of wind power generation and photovoltaic power generation, the closed-loop feedback mechanism is established between the new energy splicing model and the AVC control, the AVC control can identify abnormal fluctuations by continuously monitoring the output power, voltage, current and other states of each new energy device, and send dynamic adjustment instructions to each device, such as adjusting the output of reactive power, changing the operation mode of the device, etc., predict the future load change trend based on historical data and current operating conditions, so as to make parameter settings in advance, realize feedforward control; and reasonably allocate the power generation tasks between the wind power and photovoltaic devices, reduce the power fluctuation risk of the power grid, and reasonably schedule within the power margin, so as to realize the balance between the steady state and dynamic control of the overall power grid, and improve the adaptability to the load change of the power grid.

[0035] The embodiment of the present application also provides a new energy model splicing device based on CIM for AVC control, it should be pointed out that the new energy model splicing device based on CIM for AVC control of the embodiment of the present application can be used to execute the new energy model splicing method based on CIM for AVC control provided by the embodiment of the present application. The device is used to realize the above-mentioned embodiments and preferred embodiments, and details are not repeated. As used below, the term "module" can be a combination of software and / or hardware that implements a predetermined function. Although the device described in the following embodiment is preferably implemented in software, hardware, or a combination of software and hardware implementation is also possible and conceived.

[0036] The new energy model splicing device based on CIM for AVC control provided by the embodiment of the present application is introduced below.

[0037] Figure 3 is a schematic diagram of the new energy model splicing device based on CIM for AVC control according to the embodiment of the present application. As Figure 3 shown, the device includes:

[0038] The processing unit 10 is used to standardize the description of wind power and photovoltaic new energy devices based on CIM, to standardize the geometric shape, power generation power characteristics and interface position information of different types of new energy devices through a unified data structure, and to realize consistent data structure of different types of devices;

[0039] The first establishment unit 20 is used to establish a new energy splicing model, and to uniformly process wind power new energy devices and photovoltaic new energy devices, and the formula of the new energy splicing model is: Wherein, P total(t) is the total power output after the wind power new energy equipment and the photovoltaic new energy equipment are connected to the grid at time t, wind is the power of the wind power new energy equipment, pv is the power of the photovoltaic new energy equipment, and η i is the energy conversion efficiency of the i th new energy equipment, is the power generation voltage of the i th new energy equipment, is the current generated by the i th new energy equipment at time t, cos (θ i ) is the power factor, θ i is the phase angle, T i is the conversion coefficient of the i th new energy equipment, R i is the cable resistance of the i th new energy equipment, is the square of the power generation current of the i th new energy equipment, k i is the cable length and power loss coefficient, ΔL i is the cable length change of the i th new energy equipment, is the output power of the i th new energy equipment after being processed by an inverter or a transformer at time t;

[0040] The integration unit 30 is used for the new energy splicing model to be integrated with the AVC control through a standardized interface, and the new energy splicing model continuously transmits real-time power generation data to the AVC control, and in the integration process, the new energy equipment is connected to the AVC control through a CIM standardized data structure;

[0041] The second establishment unit 40 is used for the new energy splicing model to establish a closed-loop feedback mechanism with the AVC control, to reasonably allocate the power generation tasks between the wind power and photovoltaic equipment, and to realize dynamic control balance of the power grid.

[0042] The application realizes the model splicing of the wind power new energy equipment and the photovoltaic new energy equipment based on the CIM standardized description, ensures the uniformity of the data structure, can be compatible with the grid connection, integrated with the AVC control, establishes a closed-loop feedback mechanism, improves the voltage regulation accuracy and response speed, and realizes real-time acquisition of the operation state of the new energy equipment, and performs dynamic control based on the operation state to cope with the randomness and intermittence of the new energy, so as to realize stable regulation of the power grid voltage, reduce the influence of power fluctuation on the stability of the power grid, and enhance the overall stability and power quality of the power grid.

[0043] The above is only a specific embodiment of the application, but the protection scope of the application is not limited thereto, and any person skilled in the art can easily think of changes or replacements within the technical range disclosed in the application, which should be covered in the protection scope of the application. Therefore, the protection scope of the application should be subject to the protection scope of the above claims.

[0044] Finally: the above only for the preferred embodiments of the present application, and not for limiting the present application, any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application, should be included in the scope of protection of the present application.

Claims

1. A CIM-based new energy model splicing method for AVC control, characterized in that: The steps include: Step S1: Standardize the description of wind power and photovoltaic new energy equipment based on CIM, and standardize the geometric shape, power generation characteristics, and interface location information of different types of new energy equipment through a unified data structure to achieve consistency in the data structure of different types of equipment; Step S2: Establish a new energy splicing model to unify the wind power new energy equipment and the photovoltaic new energy equipment. The formula of the new energy splicing model is: Among them, P total (t) is the total power output of the wind power new energy equipment and the photovoltaic new energy equipment after being connected to the grid at time t, wind is the power of the wind power new energy equipment, pv is the power of the photovoltaic new energy equipment, η i is the energy conversion efficiency of the i-th new energy device, is the power generation voltage of the i-th new energy device, is the current generated by the i-th new energy device at time t, cos(θ i ) is the power factor, θ i is the phase angle, T i is the conversion coefficient of the i-th new energy device, R i is the cable resistance of the i-th new energy device, is the square of the power generation current of the i-th new energy device, k i is the cable length and power loss coefficient, ΔL i is the change in cable length of the i-th new energy device, is the output power of the i-th new energy device after being processed by the inverter or transformer at time t; Step S3: The new energy splicing model is integrated with the AVC control through a standardized interface. The new energy splicing model continuously transmits real-time power generation data to the AVC control. During the integration process, the new energy equipment is connected to the AVC control through the CIM standardized data structure. In step S4, the new energy splicing model and the AVC control establish a closed-loop feedback mechanism to reasonably distribute power generation tasks between wind power new energy equipment and photovoltaic new energy equipment, thereby achieving dynamic control balance of the power grid.

2. The method according to claim 1, characterized in that In step S2, the interface types, data formats and communication protocols of the wind power new energy equipment and the photovoltaic new energy equipment are different. A normalized model is established to unify all interfaces to a consistent physical level to ensure compatibility between the devices in physical connection. The formula of the normalized model is: N(E)=(P elec (E),P comm (E),P data (E),P ctrl (E)), where E is the wind power new energy equipment and the photovoltaic new energy equipment, N(E) is the standardized wind power new energy equipment and the photovoltaic new energy equipment, P elec (E) is the electrical interface standardization part of the wind power new energy equipment and the photovoltaic new energy equipment, P comm (E) is the standardized part of the communication protocol between the wind power new energy equipment and the photovoltaic new energy equipment, which is used to ensure the compatibility of the data interface. data (E) is the standardized part of the data interface, describing the data format and transmission method of the new energy device, P ctrl (E) is the standardized part of the control instruction interface, which describes the standardized form of the control instruction.

3. The method according to claim 1, characterized in that In step S2, different new energy devices have different data sampling frequencies and time delays due to their respective characteristics and operating conditions. Therefore, directly fusing the data of the new energy devices will lead to inconsistencies and errors in timing. A data synchronization model is established to align the data from different new energy devices in time so that the status information of each new energy device can be expressed on the same time scale. The formula of the data synchronization model is: Among them, D s is a synchronized data set, which represents the synchronized data set of the wind power new energy equipment and the photovoltaic new energy equipment, t p is the sampling time point of the wind power new energy equipment, t p+1 is the next sampling time point of the wind power new energy equipment, D w (t p ) is the data sampled by the wind power new energy equipment at the sampling time point tp, D w (t p+1 ) is the sampling time point t p+1 The data sampled by the wind power new energy equipment, α w is the first interpolation coefficient, used to calculate the relative position between two adjacent time points of the wind power new energy equipment, t q is the sampling time point of the photovoltaic new energy equipment, t q+1 The next sampling time point of the photovoltaic new energy device, D p (t q ) is the data sampled by the photovoltaic new energy equipment at the sampling time point tq, D p (t q+1 ) is the sampling time point t q+1 The data sampled by the photovoltaic new energy equipment at the time, α p is a second interpolation coefficient, used to calculate the relative position between two adjacent sampling time points of the photovoltaic new energy device.

4. The method according to claim 1, wherein In step S2, when establishing the new energy splicing model, the data aggregation process includes denoising, outlier processing and data hierarchical management, and the data is divided into the original layer, the aggregation layer and the scenario layer. The original layer stores and collects the data, the aggregation layer integrates it into a unified indicator set, and the scenario layer generates control and decision data views.

5. The method according to claim 1, wherein In step S3, when the new energy splicing model is integrated with the AVC control, real-time communication is carried out through the standardized interface. The new energy splicing model transmits the power generation data to the AVC control. The AVC control dynamically controls the new energy splicing model and adaptively adjusts the control strategy according to the power generation characteristics of different new energy devices to achieve coordinated grid connection of new energy.

6. The method according to claim 1, characterized in that In step S4, the new energy splicing model and the AVC control establish a closed-loop feedback mechanism. The AVC control monitors the status of the new energy equipment, identifies abnormal fluctuations and sends adjustment instructions, predicts load change trends based on historical data and current conditions, sets parameters in advance, implements feedforward control, reasonably allocates power generation tasks, reduces the risk of power fluctuations, and achieves a balance between grid stability and the dynamic control.

7. The method according to claim 1, characterized in that In step S1, the standardized description of the geometric shape includes the size, layout and specific installation location information of the new energy equipment. For the wind power new energy equipment, the geometric shape description includes the tower height, blade length and physical dimensions of the wind turbine. For the photovoltaic new energy equipment, the geometric shape description includes the arrangement of photovoltaic components, the size and installation inclination of photovoltaic panels. CIM uses a unified data representation format to store the geometric information of the wind power new energy equipment and the photovoltaic new energy equipment.

8. The method according to claim 1, characterized in that In step S1, the standardized description of the power generation characteristics includes the power output characteristics of the new energy equipment under different operating conditions. For the wind power new energy equipment, CIM is used to describe the power generation curve of the wind turbine under different wind speed conditions, including its rated power, starting wind speed and cut-out wind speed parameters. For the photovoltaic new energy equipment, CIM is used to describe the output power characteristics under different light intensity and temperature conditions. The power generation characteristics are standardized into a unified function representation in CIM, so that the AVC control obtains and calculates the real-time power generation capacity of each type of new energy equipment.

9. The method according to claim 1, characterized in that In step S1, the standardized description of the interface location information involves the location and type of the electrical interface and communication interface of the wind power new energy equipment and the photovoltaic new energy equipment. The electrical interface is used to describe the physical connection method between the new energy equipment and the power grid, including the specific location of the grid connection point, the interface type and the voltage level, so that the wind power new energy equipment and the photovoltaic new energy equipment can meet the unified electrical requirements during the grid connection process. The location description of the communication interface includes the data collection point, the communication protocol and the physical location of the interface.

10. A CIM-based new energy model splicing device for AVC control, characterized in that: include: A processing unit is used to perform standardized descriptions of wind power and photovoltaic new energy equipment based on CIM, normalizing the geometric shapes, power generation characteristics, and interface location information of different types of new energy equipment through a unified data structure, thereby achieving consistency in the data structures of different types of equipment; The first establishing unit is used to establish a new energy splicing model to unify the wind power new energy equipment and the photovoltaic new energy equipment. The formula of the new energy splicing model is: Among them, P total (t) is the total power output of the wind power new energy equipment and the photovoltaic new energy equipment after being connected to the grid at time t, wind is the power of the wind power new energy equipment, pv is the power of the photovoltaic new energy equipment, η i is the energy conversion efficiency of the i-th new energy device, is the power generation voltage of the i-th new energy device, is the current generated by the i-th new energy device at time t, cos(θ i ) is the power factor, θ i is the phase angle, T i is the conversion coefficient of the i-th new energy device, R i is the cable resistance of the i-th new energy device, is the square of the power generation current of the i-th new energy device, k i is the cable length and power loss coefficient, ΔL i is the change in cable length of the i-th new energy device, is the output power of the i-th new energy device after being processed by the inverter or transformer at time t; An integration unit, used to integrate the new energy splicing model with the AVC control through a standardized interface, wherein the new energy splicing model continuously transmits real-time power generation data to the AVC control. During the integration process, the new energy equipment is connected to the AVC control through a CIM standardized data structure; The second establishing unit is used to establish a closed-loop feedback mechanism between the new energy splicing model and the AVC control, reasonably allocate power generation tasks between wind power new energy equipment and photovoltaic new energy equipment, and achieve dynamic control balance of the power grid.

Images