Distributed cooperative frequency modulation control method, device and equipment for multiple new energy stations

Abstract

The invention discloses a distributed cooperative frequency modulation control method, device and equipment for multiple new energy stations. The method comprises the following steps: acquiring power grid operation data of each new energy station based on a communication network of a power grid; based on an upper-layer control strategy, consistency control is carried out on the power grid operation data through information interaction among the new energy stations, and frequency reference values of the new energy stations are obtained; distributing the frequency of each new energy station based on a lower-layer control strategy and the frequency reference value of each new energy station, and determining the frequency output value of each new energy station; loading the frequency output value of each new energy station to a communication network of a power grid; according to the application, the frequency reference value of each new energy station can be determined and allocated based on the motion data of each new energy station, the frequency output value is obtained, and the operation condition of each new energy station can be monitored through the frequency output value.

Description

Technical Field

[0001] The present application relates to the technical field of power equipment, and in particular to a distributed collaborative frequency regulation control method, device and equipment for multiple new energy stations. Background Art

[0002] The Gohuang area is rich in new energy resources. The large-scale grid connection of new energy represented by wind power and photovoltaics has had a serious impact on the stability of the power grid, and the frequency regulation and control ability of the power system has declined. The participation of new energy stations in the frequency regulation of the power grid can not only make up for the lack of traditional frequency regulation units in the Shagohuang area, but also achieve rapid frequency regulation and improve the frequency stability of the system. However, the Shagohuang area has the characteristics of few equivalent frequency regulation resources, long collection lines, and weak grids. The geographical locations of the new energy stations are usually remote. When the communication between the new energy stations is interrupted, it is difficult to adapt to the geographical dispersion of the new energy stations. It is difficult for the new energy stations as a whole to participate in frequency regulation on a large scale.

[0003] The active participation of new energy stations in the power grid frequency regulation depends on the reliable information exchange between new energy stations and the stable communication link. Once the communication link is interrupted, the failure of information exchange may cause the system to become unstable. The Shagohuang area is vast and sparsely populated, with inconvenient transportation. The long distance between each new energy station leads to a long communication link, which inevitably causes the interruption of the communication link. It is difficult to restore the communication manually, which will lead to the inability to exchange information between stations in a timely manner, thus seriously threatening the safety and stability of the power grid frequency. Summary of the invention

[0004] The present disclosure provides a method, device and equipment for distributed coordinated frequency modulation control of multiple new energy stations to at least solve the above technical problems existing in the prior art.

[0005] According to a first aspect of the present application, a method for distributed coordinated frequency modulation control of multiple new energy stations is provided, the method comprising:

[0006] Obtain grid operation data of each new energy station based on the grid communication network;

[0007] Based on the upper control strategy, the grid operation data is controlled and adjusted for consistency through information interaction between each new energy station to obtain a frequency reference value for each new energy station;

[0008] Allocate the frequency of each new energy station based on the lower-level control strategy and the frequency reference value of each new energy station, and determine the frequency output value of each new energy station;

[0009] The frequency output values ​​of the various new energy stations are loaded into the communication network of the power grid to monitor the operation status of the various new energy stations.

[0010] In one possible implementation manner, the power grid operation data includes the initial output frequency and initial active power of each new energy station; the upper-layer control strategy is based on the information interaction between each new energy station to perform consistency control and adjustment on the power grid operation data to obtain the frequency reference value of each new energy station, including:

[0011] Based on the initial output frequency of each new energy station and the preset droop coefficient of each new energy station, determine the frequency interaction information between each new energy station;

[0012] Based on the frequency interaction information, the distributed frequency of each new energy station is calculated;

[0013] Based on the initial active power of each new energy station and the preset droop coefficient of each new energy station, determine the active power interaction information between each new energy station;

[0014] Calculating the distributed active power of each new energy station according to the active power interaction information;

[0015] Calculating a frequency reference value of each new energy station according to the distributed frequency and the distributed active power;

[0016] The frequency interaction information and active power interaction information are obtained through information interaction between various new energy sites.

[0017] In one possible implementation, the frequency interaction information between each new energy station is calculated in the following manner:

[0018]

[0019] Among them, e ωi is the frequency interaction information; a ij is the communication network connection status between new energy station i and new energy station j; ω i (t) is the initial output frequency of the new energy station i at time t; ω j (t) is the initial output frequency of the new energy station j at time t; ω ref is the rated angular frequency; b i The reference value provided for the virtual leader of new energy stations, where b i =1 means that the new energy station can accept the reference value provided by the virtual leader, b i =0 indicates that other new energy stations cannot receive reference values;

[0020] The distributed frequency of each new energy station is calculated in the following way:

[0021] u ωi =C ω eωi

[0022] Among them, u ωi is the distributed frequency; C ω is the non-negative gain factor of the distributed frequency;

[0023] The active power interaction information between each new energy station is calculated in the following way:

[0024]

[0025] Among them, e pi is the frequency interaction information between each new energy station; N is the total number of new energy stations; P i (t) is the initial active power output of the new energy station i at time t; P j (t) is the initial active power output of the new energy station j at time t; D pi and D pj are the droop coefficients of new energy station i and new energy station j respectively;

[0026] The distributed active power of each new energy station is calculated in the following way:

[0027] u pi =C p e pi (t)

[0028] Among them, u pi is the distributed active power; C p is the non-negative gain factor of distributed active power;

[0029] The frequency reference value of each new energy station is calculated in the following way:

[0030] ω ni =∫(u ωi +u pi )dt

[0031] Among them, ω ni is the frequency reference value of the new energy station i.

[0032] In one possible implementation, the frequency of each new energy station is allocated based on the lower-level control strategy and the frequency reference value of each new energy station.

[0033] Determine the distributed control target based on the lower-level control strategy;

[0034] The frequency is allocated according to the rated capacity of each new energy station according to the distributed control target.

[0035] In one possible implementation, the distributed control target includes:

[0036]

[0037] Among them, T f The allocated time for the frequency target; T p Allocation time for active power target.

[0038] In one possible implementation, the frequency output value of each new energy station is determined in the following manner:

[0039] ω i =ω ni -D pi P i

[0040] Among them, ω i is the frequency output value of the new energy station i; D pi is the droop control coefficient of the new energy station i; P i is the active power of the new energy station i.

[0041] In one possible implementation manner, after the frequency output values ​​of the respective new energy stations are loaded into the communication network of the power grid, the method further includes:

[0042] Determining new output frequency and new active power of each new energy station based on the frequency output value of each new energy station;

[0043] Based on the new output frequency of each new energy station and the preset droop coefficient of each new energy station, determine the new frequency interaction information between each new energy station;

[0044] Based on the new active power of each new energy station and the preset droop coefficient of each new energy station, the new active power interaction information between each new energy station is determined.

[0045] In one embodiment, the method further comprises:

[0046] Determine whether the communication links between various new energy sites are interrupted;

[0047] If so, the new energy stations whose communication links have not been interrupted will interact with each other through the historical operation data of the new energy stations whose communication links have been interrupted, and obtain frequency interaction information and active power interaction information to maintain the stable operation of the power system.

[0048] In one possible implementation manner, the new energy station where the communication link is not interrupted performs data interaction through the historical operation data of the new energy station where the communication link is interrupted stored therein, including:

[0049] Identify new energy sites where communication link interruptions have occurred;

[0050] Determine the adjacent new energy stations of the new energy station where the communication link is interrupted, and determine whether the adjacent new energy stations are communicating normally;

[0051] If the communication link of the adjacent new energy station is normal, the frequency interaction information and active power interaction information can be obtained through the historical operation data of the new energy station where the communication link is interrupted.

[0052] According to a second aspect of the present application, a distributed coordinated frequency modulation control device for multiple new energy stations is provided, the device comprising:

[0053] A data acquisition module is used to acquire the grid operation data of each new energy station based on the grid communication network;

[0054] A first control module is used to perform consistency control and adjustment on the power grid operation data through information interaction between various new energy sites based on an upper-layer control strategy to obtain a frequency reference value of each new energy site;

[0055] A second control module is used to allocate the frequency of each new energy station based on the lower control strategy and the frequency reference value of each new energy station, and determine the frequency output value of each new energy station;

[0056] The frequency loading module is used to load the frequency output value of each renewable energy station into the communication network of the power grid to monitor the operation status of each renewable energy station.

[0057] According to a third aspect of the present application, an electronic device is provided, including:

[0058] at least one processor; and

[0059] a memory communicatively connected to the at least one processor; wherein,

[0060] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method described in the present application.

[0061] According to a fourth aspect of the present application, a non-transitory computer-readable storage medium storing computer instructions is provided, wherein the computer instructions are used to enable the computer to execute the method described in the present application.

[0062] According to a fifth aspect of the present application, a computer program product is provided, comprising a computer program or instructions, which implement the method described in the present application when executed by a processor.

[0063] By utilizing the technical solution of the present application, the frequency reference value of each new energy station can be determined and distributed based on the motion data of each new energy station to obtain a frequency output value. The operation status of each new energy station and the interaction status of each new energy station can be monitored through the frequency output value.

[0064] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] By reading the detailed description below with reference to the accompanying drawings, the above and other purposes, features and advantages of the exemplary embodiments of the present application will become readily understood. In the accompanying drawings, several embodiments of the present application are shown in an exemplary and non-limiting manner, wherein:

[0066] In the drawings, the same or corresponding reference numerals represent the same or corresponding parts.

[0067] Figure 1 The schematic diagram shows the implementation process of the distributed coordinated frequency modulation control method for multiple new energy stations in the embodiment of the present application. Figure 1 ;

[0068] Figure 2 The schematic diagram shows the implementation process of the distributed coordinated frequency modulation control method of multiple new energy stations in the embodiment of the present application. Figure 2 ;

[0069] Figure 3 The working principle of a single new energy station in this embodiment is shown Figure 1 ;

[0070] Figure 4 The working principle of a single new energy station in this embodiment is shown Figure 2 ;

[0071] Figure 5 A schematic diagram of distributed collaborative control including data prediction compensation in an embodiment of the present application is shown;

[0072] Figure 6 A schematic diagram of a regional power grid model in an embodiment of the present application is shown;

[0073] Figure 7 (a) is a schematic diagram showing the operation of communication interruption and data prediction compensation in an embodiment of the present application;

[0074] Figure 7 (b) shows a schematic diagram of the operation of data prediction compensation in an embodiment of the present application;

[0075] Figure 8(a) shows a schematic diagram of active power and frequency data prediction compensation when communication is interrupted in an embodiment of the present application;

[0076] Figure 8 (b) shows a schematic diagram of frequency data prediction compensation when communication is interrupted in an embodiment of the present application;

[0077] Fig. 9 (a) shows a schematic diagram of active power changes of each new energy station under load switching conditions in an embodiment of the present application;

[0078] Fig. 9 (b) shows a schematic diagram of frequency changes of various renewable energy stations under load switching conditions in an embodiment of the present application;

[0079] Fig.10 It shows a schematic diagram of the structure of a distributed coordinated frequency modulation control device for multiple new energy stations in an embodiment of the present application;

[0080] Fig.11 A schematic diagram of the structure of an electronic device in an embodiment of the present application is shown. DETAILED DESCRIPTION

[0081] In order to make the purpose, features, and advantages of the present application more obvious and easy to understand, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present application.

[0082] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings. The described embodiments should not be regarded as limiting the present application. All other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of this application.

[0083] This application designs a distributed control system, such as Figure 1As shown, it includes a network, an upper control, a lower control and each new energy station arranged in sequence from top to bottom; wherein, the upper control is consistency control, and the lower control is droop control. The droop control part operates locally, controls the output of the new energy station according to the angular frequency reference value, and is mainly responsible for adjusting the output frequency of each new energy station; the consistency control part mainly realizes information interaction between new energy stations through the communication network, adjusts the angular frequency reference value of each new energy station and transmits it to the droop control part. The droop control part mainly distributes the frequency. The new energy station can distribute the power output according to its own rated capacity according to the measured angular frequency and voltage real-time state quantity. The frequency output value can monitor the operation of each new energy station and the interaction of each new energy station, thereby ensuring the safety and stability of the system frequency.

[0084] like Figure 2 As shown, the present application provides a distributed coordinated frequency modulation control method for multiple new energy stations, the method comprising:

[0085] S201, obtaining power grid operation data of each new energy station based on the power grid communication network;

[0086] Among them, the power grid operation data may include the parameters of the main equipment in the power grid: including the operating parameters of various equipment in the power grid, such as voltage, current, power, etc.; the topological relationship and measurement data of the equipment during operation, which are used to reflect the connection relationship and measurement data between the various equipment in the power grid, and help monitor and analyze the operation status of the power grid; the line active power, reactive power, current and voltage, which are used to evaluate the load condition and power quality of the line; the bypass active power, reactive power and current, which are used to help monitor and manage the bypass equipment in the power grid to ensure its normal operation; the power grid operation data also includes various real-time and non-real-time data related to the power grid operation control, involving data collection (such as CT / PT, sensors, merging units, etc.), processing (such as measurement and control, relay protection and safety automatic devices, etc.), transmission (such as front-end machines, data communication gateways, etc.) and application (such as plant automation systems, power grid dispatching control systems, etc.).

[0087] Among them, the grid operation data in this application mainly includes the output frequency and active power of each new energy station.

[0088] S202, performing consistency control and adjustment on the power grid operation data through information interaction between each new energy station based on an upper-layer control strategy to obtain a frequency reference value of each new energy station;

[0089] It is understandable that the upper-level control in this application is consistency control, and the upper-level control strategy can be a consistency algorithm, wherein the consistency algorithm is one of the important cornerstones in the field of distributed control, and its principle is that in a large-scale system composed of a large number of autonomous or semi-autonomous subsystems interconnected, each participating subject with equal status exchanges state information with adjacent neighbors and updates its own state in order to achieve the consistency control goal, and finally makes the state information of all subjects converge to the reference value. At present, the consistency algorithm is widely used in the distributed control of frequency and voltage. It is understandable that under the consistency control, the frequency output of each new energy station is converged to the reference value.

[0090] S203, allocating the frequency of each new energy station based on the lower-layer control strategy and the frequency reference value of each new energy station, and determining the frequency output value of each new energy station;

[0091] Among them, the lower-level control is droop control. The lower-level control strategy is to enable the new energy station to allocate power output according to its own rated capacity based on the angular frequency and voltage real-time state measured by itself through droop control, so as to ensure the safety and stability of the system frequency.

[0092] S204, loading the frequency output value of each of the renewable energy stations into the communication network of the power grid to monitor the operation status of each of the renewable energy stations.

[0093] It can be understood that in the present application, after the frequency output value of each new energy station is obtained, it can be loaded into the communication network of the power grid, and the operation status of each new energy station and the interaction status of each new energy station can be monitored through the obtained frequency output value; in the case of partial link interruption of the communication network, based on the historical operation data of each new energy station, predictive interaction information is generated to complete the information interaction between new energy stations.

[0094] The distributed coordinated frequency modulation control method for multiple renewable energy stations provided in the present application establishes a mathematical model of multiple renewable energy stations and designs a control rate based on the hierarchical distributed control theory, and adopts a hierarchical distributed coordinated control method for multiple renewable energy stations. Through the frequency output value, it can monitor the operation status of each renewable energy station and the interaction status of each renewable energy station, thereby improving the frequency stability of the system.

[0095] In some embodiments, the power grid operation data includes the initial output frequency and initial active power of each new energy station; the upper-layer control strategy is based on the information interaction between each new energy station to perform consistency control and adjustment on the power grid operation data to obtain the frequency reference value of each new energy station, including:

[0096] Based on the initial output frequency of each new energy station and the preset droop coefficient of each new energy station, determine the frequency interaction information between each new energy station;

[0097] Based on the frequency interaction information, the distributed frequency of each new energy station is calculated;

[0098] Based on the initial active power of each new energy station and the preset droop coefficient of each new energy station, determine the active power interaction information between each new energy station;

[0099] Calculating the distributed active power of each new energy station according to the active power interaction information;

[0100] Calculating a frequency reference value of each new energy station according to the distributed frequency and the distributed active power;

[0101] The frequency interaction information and active power interaction information are obtained through information interaction between various new energy sites.

[0102] In this application, the upper control layer, i.e., the consistency control layer, is responsible for collecting information about itself and adjacent new energy stations, thereby calculating the frequency reference value of the new energy stations. Since droop control is a differential adjustment, without considering line losses, the introduction of a consistency control strategy can enable each new energy station to reasonably allocate active power output according to its capacity while restoring the grid frequency to the reference value.

[0103] It should be noted that the upper-level control is implemented locally through the communication network. When only a certain new energy station can receive the reference value of the virtual leading new energy station, other new energy stations collect local and neighboring information through information interaction, thereby calculating the reference value and transmitting it to the downward control layer.

[0104] First, after obtaining the grid operation data of each new energy station, namely the initial output frequency and initial active power, the following method is used to calculate the frequency interaction information between each new energy station:

[0105]

[0106] Among them, e ωi is the frequency interaction information; a ij is the communication network connection status between new energy station i and new energy station j; ω i (t) is the initial output frequency of the new energy station i at time t; ω j (t) is the initial output frequency of the new energy station j at time t; ω ref is the rated angular frequency; b i The reference value provided for the virtual leader of new energy stations, where bi =1 means that the new energy station can accept the reference value provided by the virtual leader, b i =0 indicates that the other new energy stations cannot receive the reference value; for a ij It represents the elements of the critical matrix A, and its physical meaning is to characterize the communication network connection between each new energy station. ij =a ji , when a ij =a ji When =1, it means that the new energy station i and the new energy station j have established a communication link and will exchange information, and vice versa.

[0107] The distributed frequency of each new energy station is calculated in the following way:

[0108] u ωi =C ω e ωi

[0109] Among them, u ωi is the distributed frequency; C ω is the non-negative gain factor of the distributed frequency;

[0110] The active power interaction information between each new energy station is calculated in the following way:

[0111]

[0112] Among them, e pi is the frequency interaction information between each new energy station; N is the total number of new energy stations; P i (t) is the initial active power output of the new energy station i at time t; P j (t) is the initial active power output of the new energy station j at time t; D pi and D pj are the droop coefficients of new energy station i and new energy station j respectively;

[0113] The distributed active power of each new energy station is calculated in the following way:

[0114] u pi =C p e pi (t)

[0115] Among them, u pi is the distributed active power; C p is the non-negative gain factor of distributed active power;

[0116] The frequency reference value of each new energy station is calculated in the following way:

[0117] ωni =∫(u ωi +u pi )dt

[0118] Among them, ω ni is the frequency reference value of the new energy station i.

[0119] In summary, each new energy station can obtain real-time status information of itself and adjacent stations through interactive information, so as to judge the operation status and interaction status of each new energy station.

[0120] In some embodiments, the frequency of each new energy station is allocated based on the lower layer control strategy and the frequency reference value of each new energy station.

[0121] Determine the distributed control target based on the lower-level control strategy;

[0122] The frequency is allocated according to the rated capacity of each new energy station according to the distributed control target.

[0123] In some optional implementations, the distributed control target includes:

[0124]

[0125] Among them, T f The allocated time for the frequency target; T p Allocation time for active power target.

[0126] In some embodiments, after the frequency output values ​​of the respective new energy stations are loaded into the communication network of the power grid, the method further includes:

[0127] Determining new output frequency and new active power of each new energy station based on the frequency output value of each new energy station;

[0128] Based on the new output frequency of each new energy station and the preset droop coefficient of each new energy station, determine the new frequency interaction information between each new energy station;

[0129] Based on the new active power of each new energy station and the preset droop coefficient of each new energy station, the new active power interaction information between each new energy station is determined.

[0130] Specifically, Figure 3 As shown in the figure, the distributed coordinated frequency modulation control principle of a single renewable energy station is used. The node information of the renewable energy node is collected to obtain the initial frequency and initial active power of the renewable energy station i. These two pieces of information are transmitted through the communication network according to the specific rules in the distributed secondary controller (e ωi and e pi) to exchange information with other stations that have established communication links with the new energy station i, and transmit the results of the interaction between the new energy station i and other new energy stations (e ωi and e pi Given to the distributed frequency and distributed active power controller u ωi and u pi ), in fact, the information interaction can be generated ωi and e pi Then generate u ωi and u pi The process is regarded as secondary control, and u ωi and u pi The sum and integration generate the reference value of the angular frequency of the new energy station i, and finally the new energy station outputs the angular frequency ω i , and the output frequency ω of the new energy station is obtained i .

[0131] It should be noted that after the frequency output value is obtained, it is loaded into the droop controller, and the droop controller can be set in the equivalent model of the new energy station, such as Figure 4 As shown in the figure, the equivalent model of the new energy station includes a DC voltage source, an inverter, an LC filter, an output connector, a power calculation module, a droop controller, a voltage and current double closed-loop control, and PWM, which is connected to the common bus through the output connector. f and C f are the filter inductor and filter capacitor, Rc and Lc are the grid line impedance. The control structure is divided into four modules, namely power calculation module, droop controller, voltage and current double closed loop and PWM. Figure 4 As shown in the figure, the control structure collects the filter inductor current, filter capacitor voltage and power electronic converter output current, and obtains the αβ axis components through coordinate transformation. The collected sequence components of voltage and current are used to calculate the average active power P and reactive power Q, the voltage V and angular frequency ω output by the droop controller, and then the calculated phase and amplitude are synthesized by the reference voltage generator and the reference voltage value of the αβ axis obtained by Clarke transformation. Finally, through the voltage and current double closed-loop control link, the sinusoidal pulse width modulation signal (SPWM) required by the final power electronic converter is obtained, thereby controlling the sinusoidal voltage waveform required by the inverter output.

[0132] In some embodiments, the method further comprises:

[0133] Determine whether the communication links between various new energy sites are interrupted;

[0134] If so, the new energy station where the communication link is interrupted will perform data compensation through its stored historical operation data to maintain the stable operation of the power system.

[0135] The active participation of new energy stations in power grid frequency regulation depends on the reliable information exchange between new energy stations and is determined by a stable communication link. Once the communication link is interrupted, the failure of information exchange may cause the system to become unstable. The Shagohuang area is sparsely populated and has inconvenient transportation. The long distance between each new energy station leads to a long communication link, which inevitably causes the interruption of the communication link. It is difficult to restore the communication manually, which will lead to the inability to timely exchange information between the stations, thus seriously threatening the safety and stability of the power grid frequency. However, in the current existing technology and actual engineering, most of them are based on reliable fixed communication links or use backup communication paths. There are few studies on the rapid reconstruction of communication links after communication interruption between new energy stations, and there are even fewer studies on the coordinated control of multiple new energy stations in the Shagohuang area. To this end, combined with the characteristics of the Shagohuang area, the present invention proposes a distributed collaborative control method for multiple new energy stations considering communication interruption. First, a distributed collaborative frequency modulation control method for multiple new energy stations with hierarchical distribution as the control architecture is established, and the control rate is designed to achieve system convergence. Considering that the information exchange cannot be completed when the new energy station is interrupted in communication, it is proposed to adopt a data prediction compensation mechanism to complete the information exchange by predicting and compensating the state quantity of adjacent neighbors.

[0136] It should be noted that the new energy station where the communication link is interrupted performs data compensation through the historical operation data stored in it. Adjacent refers to the geographical proximity of the new energy station or the relative proximity of the communication link. Generally speaking, adjacent new energy stations will establish a communication link, but it is not absolute; the establishment of a communication link is inevitably related to whether it is adjacent. A communication link connects two new energy stations. If this communication link is interrupted, the data prediction compensation only involves the historical data of the two new energy stations, which can be the interactive information between the new energy stations connected by the interrupted communication link through prediction compensation.

[0137] Specifically, Figure 5 As shown in Figure 1, the data prediction compensation mechanism predicts and compensates for data that cannot be received due to communication interruption. In the communication topology diagram, the new energy station will record and store historical data such as frequency and active power of its neighbors, and then perform data fitting on the interrupted data based on its stored historical data to predict the interactive information compensation to the new energy stations at both ends of the interrupted link, that is, this station can make a local prediction of the loss status information of its neighbors.

[0138] For example, new energy station 7 and new energy station 6 establish a communication link recorded as 6-7. When the communication link 6-7 is interrupted, we will make a prediction based on the historical interaction information between new energy station 6 and new energy station 7, and roughly predict what kind of information will be exchanged if the communication link 6-7 is not interrupted. The predicted result will then be given to new energy station 7 and new energy station 6 as compensation.

[0139] In other words, the present application can obtain predicted interaction information by performing certain processing (data fitting) on ​​the historical interaction information between the new energy stations connected by the interrupted link, and give it to the new energy stations as compensation during the interruption period to complete the information interaction during the interruption period.

[0140] When the system communication is interrupted, taking the new energy station i and the new energy station j as an example, there are two situations:

[0141] (1) In a communication topology graph G, if the entire system experiences a communication interruption, but the communication link ij is normal and has not experienced a communication interruption, then the communication link does not need data prediction compensation, and the two can exchange information normally;

[0142] (2) If the entire system is interrupted in communication, and the communication link ij is in a communication interruption state, prediction is performed based on the historical data of the neighbors saved by each party to achieve data prediction compensation.

[0143] Let matrix A = (a ij )N×N is the adjacency matrix of the communication network graph G, which is a matrix composed of the arrangement of new energy stations, representing the matrix of the adjacent relationship of each node in the graph G, and its diagonal elements are all 0. The non-diagonal elements can be expressed as:

[0144]

[0145] In the formula, a ij is the weight of the edge between node i and node j. If there is an edge (w i ,w j )∈E and there is information exchange between nodes i and j, then a ij =1; if there is no information exchange between nodes i and j, then a ij = 0. The adjacency matrix A is a symmetric matrix containing 0 and 1, and is an N-order matrix. For an undirected graph, when (i, j) ∈ E, a ij =a ji Communication topology G = (W, E), where W = {w1,w2,…,w N} represents the N nodes associated with the new energy stations in the distributed generation system, E = {(w i,w j )|w i ,w j ∈W} indicates that there is a communication network connection between nodes i and j, that is, the new energy station j can obtain the information of the new energy station i or the new energy station i can send information to the new energy station j, and the new energy station i is called an incoming neighbor of the new energy station j or the new energy station j is an outgoing neighbor of the new energy station i.

[0146] Let the matrix Z = (z ij )N×N is the communication interruption matrix. If communication interruption occurs between new energy stations i and j, then z ij =1, otherwise z ij =0, z ii =0.

[0147] The relationship between each new energy station and its respective prediction compensator is determined by the above-mentioned data prediction compensation mechanism.

[0148] Let the matrix be S = (s ij )N×N decision association matrix, which is defined as the signal request relationship between each new energy station and the local data prediction compensator. ij =1, which means that the new energy station needs to send a prediction compensation request to the prediction compensator; s ij =0, which means no prediction compensation request needs to be sent.

[0149] Let the matrix μ = (μ ij )1× N :

[0150] μ i =A(i).*Z(i).*S(i)=(a ij ·z ij ·s ij ) 1xN =(μ ij ) 1xN

[0151] When μ ij =1, the new energy station sends a request to the local data compensator, obtains neighbor information through prediction compensation, and completes information interaction, so that the system maintains stable operation; when μ ij =0, no request is required.

[0152] The distributed collaborative frequency modulation control method for multiple renewable energy stations provided in this application is different from centralized control in that all data is uploaded to the central controller. If the central controller is cracked, the security of each renewable energy station is very low, and it is difficult to achieve confidentiality and privacy. This application establishes a multi-renewable energy station model based on a hierarchical distributed collaborative control strategy. According to the requirements of renewable energy stations for operational security, data privacy, and control flexibility, a hierarchical distributed control structure is designed, and the functions of each layer are clarified.

[0153] On this basis, considering that the interruption of communication links in the Shagohuang area leads to a decrease in the frequency regulation capability of the system and the system cannot converge, it is proposed to use the data prediction compensation mechanism to obtain the prediction data of adjacent neighbors, and based on the consistency algorithm, the global convergence of the power system state quantity during the communication interruption is achieved. Compared with the traditional collaborative control method, the situation that the communication interruption of each new energy station in the Shagohuang area cannot exchange information is considered, which reduces the overall dependence of the system on the communication network.

[0154] As a specific embodiment, the present application simulates the distributed coordinated frequency modulation control method of multiple new energy stations provided in the present application, such as Figure 6 As shown in the figure, taking a certain area as an example, a 42-node simulation model, power grid node topology and communication network are established. 10 new energy power stations are connected to the grid through 35kV / 110kV transformers. The 30th node connected to station 1 is taken as the reference node. Communication interruption occurs at t=1s, and communication recovery occurs at t=5s.

[0155] At t=1s, the communication between new energy stations 7, 9 and new energy station 8 is interrupted, that is, new energy station 8 cannot receive the information transmitted by stations 7 and 9. Figure 7 As shown in (a), when the data prediction compensation mechanism is not adopted, that is, the information exchange fails and communication cannot continue. Since there is no information exchange between stations 7, 9 and 8, the power system output cannot converge and the power system collapses at the moment of the interruption.

[0156] like Figure 7 As shown in (b), when the data prediction compensation mechanism is adopted, the new energy station can reconstruct the communication link through the predicted data, so that information exchange can continue, and the power system maintains stable operation. At the same time, at t=5s, the communication link is restored and the power system can still operate stably. During this period, the active power output of the new energy station is reasonably distributed according to their respective droop coefficients.

[0157] The prediction of active power and angular frequency data of stations 7-9 (t = 1-5s) is as follows Figure 8After a communication interruption occurs, the station 7-9 needs to use the data prediction compensation mechanism to predict the active power and frequency data of the neighbor, and replace the original transmission information with the predicted data, so as to reconstruct the communication link. Figure 7 (a) and Figure 7 (b) By comparison, it can be seen that if there is no data prediction and compensation mechanism in the case of communication interruption, the system will become unstable and unable to participate in frequency modulation. The prediction compensation data curve reasonably fits the historical data.

[0158] To sum up, when communication interruption occurs, there is a problem that communication cannot be restored due to communication path reconstruction. The method of the present invention can enable new energy stations to still exchange information, thereby achieving the overall reasonable scale of each new energy station to participate in frequency modulation.

[0159] In addition, in order to verify the superiority of the active frequency output response of the multi-renewable energy station to the frequency change caused by system load switching, the following scenario is designed:

[0160] like Fig. 9 As shown in (a) and (b), at t = 1s, the communication between the new energy stations 7, 9 and 8 was interrupted. According to the data prediction compensation mechanism mentioned above, the power system maintained stable operation; then at t = 5s, the communication was restored and the power system still operated stably. Subsequently, when the load did not change, the power system frequency could converge to 50Hz under distributed control, and the output active power of each new energy station was reasonably distributed according to their respective droop coefficients. When t = 10s, when load 1 (9.104WM) was removed, the frequency rose slightly and the active power fell slightly, but the frequency quickly converged to 50Hz, and the active power converged to the reference value; when t = 14s, load 2 (6.35WM) was also removed, and the frequency and active power showed the same changes; when t = 14s, load 2 was reconnected to the grid, the frequency fell slightly and the active power rose slightly, but the frequency also quickly converged to 50Hz, and the active power converged to the reference value. During this change process, the amplitude of frequency and active power changes is not large, and the power system is robust and stable.

[0161] like Fig.10 As shown, the embodiment of the present application provides a distributed coordinated frequency modulation control device for multiple new energy stations, the device comprising:

[0162] The data acquisition module 1001 is used to acquire the grid operation data of each new energy station based on the grid communication network;

[0163] The first control module 1002 is used to perform consistency control and adjustment on the power grid operation data through information interaction between various new energy sites based on the upper control strategy to obtain the frequency reference value of each new energy site;

[0164] The second control module 1003 is used to allocate the frequency of each new energy station based on the lower layer control strategy and the frequency reference value of each new energy station, and determine the frequency output value of each new energy station;

[0165] The frequency loading module 1004 is used to load the frequency output value of each of the renewable energy stations to the communication network of the power grid to monitor the operation status of each of the renewable energy stations.

[0166] The present application provides a distributed collaborative frequency regulation control device for multiple new energy stations, wherein the data acquisition module 1001 acquires the power grid operation data of each new energy station based on the communication network of the power grid; the first control module 1002 performs consistency control and adjustment on the power grid operation data through information interaction between each new energy station based on the upper-level control strategy, and obtains the frequency reference value of each new energy station; the second control module 1003 allocates the frequency of each new energy station based on the lower-level control strategy and the frequency reference value of each new energy station, and determines the frequency output value of each new energy station; the frequency loading module 1004 loads the frequency output value of each new energy station to the communication network of the power grid to monitor the operation status of each new energy station.

[0167] According to an embodiment of the present application, the present application also provides an electronic device and a readable storage medium.

[0168] The electronic device includes at least one processor; and a memory connected to the at least one processor in communication; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the distributed coordinated frequency modulation control method for multiple new energy stations described in the present application. The computer instructions are used to enable the computer to execute the distributed coordinated frequency modulation control method for multiple new energy stations described in the present application.

[0169] The present application also provides a computer program product, including a computer program / instruction, which, when executed by a processor, implements the distributed collaborative frequency modulation control method for multiple new energy stations of the present application.

[0170] Fig.11A schematic block diagram of an example electronic device 800 that can be used to implement an embodiment of the present application is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workbenches, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present application described and / or required herein.

[0171] like Fig.11 As shown, the device 800 includes a computing unit 801, which can perform various appropriate actions and processes according to a computer program stored in a read-only memory (ROM) 802 or a computer program loaded from a storage unit 808 into a random access memory (RAM) 803. In the RAM 803, various programs and data required for the operation of the device 800 can also be stored. The computing unit 801, the ROM 802, and the RAM 803 are connected to each other via a bus 804. An input / output (I / O) interface 805 is also connected to the bus 804.

[0172] A number of components in the device 800 are connected to the I / O interface 805, including: an input unit 806, such as a keyboard, a mouse, etc.; an output unit 807, such as various types of displays, speakers, etc.; a storage unit 808, such as a disk, an optical disk, etc.; and a communication unit 809, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 809 allows the device 800 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0173] The computing unit 801 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the computing unit 801 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, digital signal processors (DSPs), and any appropriate processors, controllers, microcontrollers, etc. The computing unit 801 performs the various methods and processes described above, such as a distributed collaborative frequency modulation control method for multiple new energy sites. For example, in some embodiments, a distributed collaborative frequency modulation control method for multiple new energy sites may be implemented as a computer software program, which is tangibly contained in a machine-readable medium, such as a storage unit 808. In some embodiments, part or all of the computer program may be loaded and / or installed on the device 800 via the ROM 802 and / or the communication unit 809. When the computer program is loaded into the RAM 803 and executed by the computing unit 801, one or more steps of the distributed collaborative frequency modulation control method for multiple new energy sites described above may be performed. Alternatively, in other embodiments, the computing unit 801 may be configured to execute a distributed collaborative frequency regulation control method for multiple new energy stations in any other appropriate manner (for example, by means of firmware).

[0174] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0175] The program code for implementing the method of the present application can be written in any combination of one or more programming languages. These program codes can be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that the program code, when executed by the processor or controller, implements the functions / operations specified in the flow chart and / or block diagram. The program code can be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0176] In the context of the present application, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or equipment, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0177] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0178] The systems and techniques described herein may be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), and the Internet.

[0179] A computer system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The relationship of client and server is generated by computer programs running on respective computers and having a client-server relationship with each other. The server may be a cloud server, a server of a distributed system, or a server combined with a blockchain.

[0180] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A distributed coordinated frequency modulation control method for multiple new energy stations, characterized in that: The method comprises: Obtain grid operation data of each new energy station based on the grid communication network; Based on the upper control strategy, the grid operation data is controlled and adjusted for consistency through information interaction between each new energy station to obtain a frequency reference value for each new energy station; Allocate the frequency of each new energy station based on the lower-level control strategy and the frequency reference value of each new energy station, and determine the frequency output value of each new energy station; The frequency output values ​​of the various new energy stations are loaded into the communication network of the power grid to monitor the operation status of the various new energy stations.

2. The method according to claim 1, characterized in that The grid operation data includes the initial output frequency and initial active power of each new energy station; the upper-layer control strategy is based on the information interaction between each new energy station to perform consistency control and adjustment on the grid operation data to obtain the frequency reference value of each new energy station, including: Based on the initial output frequency of each new energy station and the preset droop coefficient of each new energy station, determine the frequency interaction information between each new energy station; Based on the frequency interaction information, the distributed frequency of each new energy station is calculated; Based on the initial active power of each new energy station and the preset droop coefficient of each new energy station, determine the active power interaction information between each new energy station; Calculating the distributed active power of each new energy station according to the active power interaction information; Calculating a frequency reference value of each new energy station according to the distributed frequency and the distributed active power; The frequency interaction information and active power interaction information are obtained through information interaction between various new energy sites.

3. The method according to claim 2, characterized in that The frequency interaction information between each new energy station is calculated in the following way: Among them, e ωi is the frequency interaction information; a ij is the communication network connection status between new energy station i and new energy station j; ω i (t) is the initial output frequency of the new energy station i at time t; ω j (t) is the initial output frequency of the new energy station j at time t; ω ref is the rated angular frequency; b i The reference value provided for the virtual leader of new energy stations, where b i =1 means that the new energy station can accept the reference value provided by the virtual leader, b i =0 indicates that other new energy stations cannot receive reference values; The distributed frequency of each new energy station is calculated in the following way: u ωi =C ω e ωi Among them, u ωi is the distributed frequency; C ω is the non-negative gain factor of the distributed frequency; The active power interaction information between each new energy station is calculated in the following way: Among them, e pi is the frequency interaction information between each new energy station; N is the total number of new energy stations; P i (t) is the initial active power output of the new energy station i at time t; P j (t) is the initial active power output of the new energy station j at time t; D pi and D pj are the droop coefficients of new energy station i and new energy station j respectively; The distributed active power of each new energy station is calculated in the following way: u pi =C p e pi (t) Among them, u pi is the distributed active power; C p is the non-negative gain factor of distributed active power; The frequency reference value of each new energy station is calculated in the following way: ω ni =∫(u ωi +u pi )dt Among them, ω ni is the frequency reference value of the new energy station i.

4. The method according to claim 1, characterized in that: The frequency of each new energy station is allocated based on the lower-level control strategy and the frequency reference value of each new energy station. Determine the distributed control target based on the lower-level control strategy; The frequency is allocated according to the rated capacity of each new energy station according to the distributed control target.

5. The method according to claim 4, characterized in that The distributed control target includes: Among them, T f The allocated time for the frequency target; T p Allocation time for active power target.

6. The method according to claim 5, characterized in that The frequency output value of each new energy station is determined in the following way: oh i =ω ni -D pi P i Among them, ω i is the frequency output value of the new energy station i; D pi is the droop control coefficient of the new energy station i; P i is the active power of the new energy station i.

7. The method according to claim 2, characterized in that After the frequency output values ​​of the respective new energy stations are loaded into the communication network of the power grid, the method further includes: Determining new output frequency and new active power of each new energy station based on the frequency output value of each new energy station; Based on the new output frequency of each new energy station and the preset droop coefficient of each new energy station, determine the new frequency interaction information between each new energy station; Based on the new active power of each new energy station and the preset droop coefficient of each new energy station, the new active power interaction information between each new energy station is determined.

8. The method according to claim 1, characterized in that The method further comprises: Determine whether the communication links between various new energy sites are interrupted; If so, the new energy station where the communication link is interrupted will perform data compensation through its stored historical operation data to maintain the stable operation of the power system.

9. A distributed coordinated frequency modulation control device for multiple new energy stations, characterized in that: The device comprises: A data acquisition module is used to acquire the grid operation data of each new energy station based on the grid communication network; A first control module is used to perform consistency control and adjustment on the power grid operation data through information interaction between various new energy sites based on an upper-layer control strategy to obtain a frequency reference value of each new energy site; A second control module is used to allocate the frequency of each new energy station based on the lower control strategy and the frequency reference value of each new energy station, and determine the frequency output value of each new energy station; The frequency loading module is used to load the frequency output value of each renewable energy station into the communication network of the power grid to monitor the operation status of each renewable energy station.

10. An electronic device, characterized in that: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 8.

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