New energy output control optimization method and system for high-proportion new energy power system

Abstract

The invention discloses a new energy output control optimization method and system for a high-proportion new energy power system, and belongs to the technical field of voltage support strength of the high-proportion new energy power system. The method comprises the following steps: acquiring monitoring data of a high-proportion new energy power system monitoring point; based on the monitoring data, the new energy output control quantity of the high-proportion new energy power system monitoring point at the prediction moment T2 is obtained through calculation; and controlling the high-proportion new energy power system based on the control optimization quantity so as to optimize the new energy output of the high-proportion new energy power system. According to the method, the new energy output control quantity can be calculated through monitoring, then optimization control is carried out through the control quantity, calculation is simple, and the voltage supporting strength requirement of the system is met.

Description

Technical Field

[0001] The present invention relates to the technical field of voltage support strength of a high-proportion new energy power system, and more specifically, to a new energy output control optimization method for a high-proportion new energy power system. Background Art

[0002] As more and more renewable energy power generation equipment is connected to the grid through converters, the proportion of traditional generators is gradually decreasing. Renewable energy power generation equipment usually relies on power electronics and control systems to provide reactive power support, but their response speed and ability may not be as stable as traditional generators. This leads to a weakening of the voltage support strength of power systems with a high proportion of renewable energy. As the scale of renewable energy output increases, the system voltage support strength further decreases, increasing the risk of system instability caused by faults.

[0003] The short-circuit ratio is an important indicator for quantitatively evaluating the voltage support strength of a high-proportion renewable energy power system. The short-circuit ratio can be used to analyze the safety margin of the system. When the output scale of renewable energy is too high, the output control amount of renewable energy can be calculated to ensure that the output scale of renewable energy meets the system safety margin requirements, which helps to ensure the safe and stable operation of the system. However, the current methods for analyzing the output scale of renewable energy through the short-circuit ratio indicator are mostly based on model calculations, and usually require iterative solutions to calculate the maximum output scale of renewable energy that meets the short-circuit ratio requirements. This method makes it difficult to directly obtain the control amount of renewable energy based on the current output level of renewable energy, and thus cannot achieve real-time optimization of the output scale of renewable energy.

[0004] In a high-proportion renewable energy power system, traditional power dispatching and control methods are difficult to adapt to the volatility and uncertainty of renewable energy. For power systems with high real-time requirements, they cannot respond to the rapid changes in renewable energy output in a timely manner. These problems seriously restrict the further development and application of a high-proportion renewable energy power system. Therefore, how to optimize renewable energy output and ensure the stable operation of the power system has become a key issue that needs to be solved urgently. Summary of the invention

[0005] In view of the above problems, the present invention proposes a new energy output control optimization method for a high-proportion new energy power system, comprising:

[0006] Obtain monitoring data from monitoring points of power systems with a high proportion of new energy;

[0007] Based on the monitoring data, the new energy output control amount at the high-proportion new energy power system monitoring point prediction time T2 is calculated;

[0008] Based on the control optimization amount, the high-proportion new energy power system is controlled to optimize the new energy output of the high-proportion new energy power system.

[0009] Optionally, based on the monitoring data, the new energy output control amount at the high-proportion new energy power system monitoring point prediction time T2 is calculated, including:

[0010] Based on the monitoring data, the short-circuit capacity of the monitoring point of the high-proportion new energy power system at the current time T1 and the short-circuit ratio margin at the current time T1 are calculated, and the predicted new energy output of the monitoring point of the high-proportion new energy power system at the predicted time T2 is calculated according to the short-circuit capacity at the current time T1 and the short-circuit ratio margin at the current time T1;

[0011] According to the predicted output of the new energy at the predicted time T2 and the preset safety threshold, the output control amount of the new energy at the predicted time T2 is calculated.

[0012] Optionally, the calculation formula for the short-circuit capacity of the monitoring point of the high-proportion new energy power system at the current time T1 is calculated as follows:

[0013]

[0014] Among them, S ac1 is the short-circuit capacity at the monitoring point T1 at the current moment, SCR1 is the short-circuit ratio at the monitoring point T1 at the current moment, P1 is the active power injected by the new energy at the monitoring point T1 at the current moment, and Q1 is the reactive power injected by the new energy at the monitoring point T1 at the current moment.

[0015] Optionally, the calculation formula for the short-circuit ratio margin of the monitoring point of the high-proportion new energy power system at the current time T1 is calculated as follows:

[0016]

[0017] Among them, Mg1 is the short-circuit ratio margin at the monitoring point T1 at the current time, CSCR1 is the critical short-circuit ratio at the monitoring point T1 at the current time, k0 is the conversion coefficient, and SCR1 is the short-circuit ratio at the monitoring point T1 at the current time.

[0018] Optionally, the formula for calculating the predicted output of new energy at the monitoring point of the high-proportion new energy power system at the predicted time T2 is as follows:

[0019]

[0020] Among them, P2 is the active power injected by the new energy at the monitoring point at the predicted time T2, Q2 is the reactive power injected by the new energy at the monitoring point at the predicted time T2, P1 is the active power injected by the new energy at the monitoring point at the current time T1, Q1 is the reactive power injected by the new energy at the monitoring point at the current time T1, k0 is the conversion coefficient, Mg1 is the short-circuit ratio margin at the monitoring point at the current time T1, and Mg2 is the short-circuit ratio margin at the monitoring point at the predicted time T2.

[0021] Optionally, the calculation formula for the new energy output control amount at the prediction time T2 is as follows:

[0022]

[0023] Among them, ΔP is the output control amount of the new energy at the monitoring point T2 at the prediction time, P1 is the active power injected by the new energy at the monitoring point T1 at the current time, Q1 is the reactive power injected by the new energy at the monitoring point T1 at the current time, k0 is the conversion coefficient, Mg1 is the short-circuit ratio margin at the monitoring point T1 at the current time, Mg2 is the short-circuit ratio margin at the monitoring point T2 at the prediction time, and Q2 is the reactive power injected by the new energy at the monitoring point T2 at the prediction time;

[0024] Among them, Mg2=Mg0, Mg0 is the safety threshold.

[0025] On the other hand, the present invention also proposes a new energy output control optimization system for a high-proportion new energy power system, comprising:

[0026] A data monitoring unit, used to obtain monitoring data of monitoring points of a high-proportion renewable energy power system;

[0027] A calculation unit, configured to calculate, based on the monitoring data, a new energy output control amount at a predicted time T2 of a monitoring point of a high-proportion new energy power system;

[0028] The optimization control unit is used to control the high-proportion new energy power system based on the control optimization amount to optimize the new energy output of the high-proportion new energy power system.

[0029] Optionally, the calculation unit calculates the new energy output control amount at the prediction time T2 of the monitoring point of the high-proportion new energy power system based on the monitoring data, including:

[0030] Based on the monitoring data, the short-circuit capacity of the monitoring point of the high-proportion new energy power system at the current time T1 and the short-circuit ratio margin at the current time T1 are calculated, and the predicted new energy output of the monitoring point of the high-proportion new energy power system at the predicted time T2 is calculated according to the short-circuit capacity at the current time T1 and the short-circuit ratio margin at the current time T1;

[0031] According to the predicted output of the new energy at the predicted time T2 and the preset safety threshold, the output control amount of the new energy at the predicted time T2 is calculated.

[0032] Optionally, the calculation unit calculates the short-circuit capacity of the monitoring point of the high-proportion new energy power system at the current time T1, as follows:

[0033]

[0034] Among them, S ac1 is the short-circuit capacity at the monitoring point T1 at the current moment, SCR1 is the short-circuit ratio at the monitoring point T1 at the current moment, P1 is the active power injected by the new energy at the monitoring point T1 at the current moment, and Q1 is the reactive power injected by the new energy at the monitoring point T1 at the current moment.

[0035] Optionally, the calculation unit calculates the short-circuit ratio margin of the monitoring point of the high-proportion new energy power system at the current time T1, as follows:

[0036]

[0037] Among them, Mg1 is the short-circuit ratio margin at the monitoring point T1 at the current time, CSCR1 is the critical short-circuit ratio at the monitoring point T1 at the current time, k0 is the conversion coefficient, and SCR1 is the short-circuit ratio at the monitoring point T1 at the current time.

[0038] Optionally, the calculation unit calculates a formula for calculating the predicted output of new energy at the high-proportion new energy power system monitoring point prediction time T2 as follows:

[0039]

[0040] Among them, P2 is the active power injected by the new energy at the monitoring point at the predicted time T2, Q2 is the reactive power injected by the new energy at the monitoring point at the predicted time T2, P1 is the active power injected by the new energy at the monitoring point at the current time T1, Q1 is the reactive power injected by the new energy at the monitoring point at the current time T1, k0 is the conversion coefficient, Mg1 is the short-circuit ratio margin at the monitoring point at the current time T1, and Mg2 is the short-circuit ratio margin at the monitoring point at the predicted time T2.

[0041] Optionally, the calculation unit calculates a calculation formula for the new energy output control amount at the prediction time T2 as follows:

[0042]

[0043] Among them, ΔP is the output control amount of the new energy at the monitoring point T2 at the prediction time, P1 is the active power injected by the new energy at the monitoring point T1 at the current time, Q1 is the reactive power injected by the new energy at the monitoring point T1 at the current time, k0 is the conversion coefficient, Mg1 is the short-circuit ratio margin at the monitoring point T1 at the current time, Mg2 is the short-circuit ratio margin at the monitoring point T2 at the prediction time, and Q2 is the reactive power injected by the new energy at the monitoring point T2 at the prediction time;

[0044] Among them, Mg2=Mg0, Mg0 is the safety threshold.

[0045] In yet another aspect, the present invention further provides a computing device, comprising: one or more processors;

[0046] a processor for executing one or more programs;

[0047] When the one or more programs are executed by the one or more processors, the above-described method is implemented.

[0048] In yet another aspect, the present invention further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed, the method described above is implemented.

[0049] Compared with the prior art, the present invention has the following beneficial effects:

[0050] The present invention provides a method for optimizing the control of new energy output of a high-proportion new energy power system, comprising: obtaining monitoring data of a monitoring point of a high-proportion new energy power system; based on the monitoring data, calculating the new energy output control amount of the monitoring point of the high-proportion new energy power system at the predicted time T2; based on the control optimization amount, controlling the high-proportion new energy power system to optimize the new energy output of the high-proportion new energy power system. The present invention can calculate the new energy output control amount through monitoring, and then optimize the control through the control amount, the calculation is simple, and the voltage support strength requirements of the system are met. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 is a flow chart of the method of the present invention;

[0052] Figure 2 It is a structural diagram of the system of the present invention. DETAILED DESCRIPTION

[0053] Now, exemplary embodiments of the present invention are described with reference to the accompanying drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. These embodiments are provided to disclose the present invention in detail and completely and to fully convey the scope of the present invention to those skilled in the art. The terms used in the exemplary embodiments shown in the accompanying drawings are not intended to limit the present invention. In the accompanying drawings, the same units / elements are marked with the same reference numerals.

[0054] Unless otherwise specified, the terms (including technical terms) used herein have the commonly understood meanings to those skilled in the art. In addition, it is understood that the terms defined in commonly used dictionaries should be understood to have the same meanings as those in the context of the relevant fields, and should not be understood as idealized or overly formal meanings.

[0055] Embodiment 1:

[0056] The present invention proposes a new energy output control optimization method for a high-proportion new energy power system. Figure 1 As shown, including:

[0057] Step 1: Obtain monitoring data of monitoring points of a high-proportion new energy power system;

[0058] Step 2: Based on the monitoring data, calculate the new energy output control amount at the high-proportion new energy power system monitoring point prediction time T2;

[0059] Step 3: Based on the control optimization amount, the high-proportion new energy power system is controlled to optimize the new energy output of the high-proportion new energy power system.

[0060] Wherein, based on the monitoring data, the new energy output control amount at the prediction time T2 of the monitoring point of the high proportion new energy power system is calculated, including:

[0061] Based on the monitoring data, the short-circuit capacity of the monitoring point of the high-proportion new energy power system at the current time T1 and the short-circuit ratio margin at the current time T1 are calculated, and the predicted new energy output of the monitoring point of the high-proportion new energy power system at the predicted time T2 is calculated according to the short-circuit capacity at the current time T1 and the short-circuit ratio margin at the current time T1;

[0062] According to the predicted output of the new energy at the predicted time T2 and the preset safety threshold, the output control amount of the new energy at the predicted time T2 is calculated.

[0063] Among them, the calculation formula for the short-circuit capacity of the monitoring point of the high-proportion new energy power system at the current time T1 is calculated as follows:

[0064]

[0065] Among them, S ac1 is the short-circuit capacity at the monitoring point T1 at the current moment, SCR1 is the short-circuit ratio at the monitoring point T1 at the current moment, P1 is the active power injected by the new energy at the monitoring point T1 at the current moment, and Q1 is the reactive power injected by the new energy at the monitoring point T1 at the current moment.

[0066] Among them, the calculation formula of the short-circuit ratio margin of the monitoring point of the high-proportion new energy power system at the current time T1 is calculated as follows:

[0067]

[0068] Among them, Mg1 is the short-circuit ratio margin at the monitoring point T1 at the current time, CSCR1 is the critical short-circuit ratio at the monitoring point T1 at the current time, k0 is the conversion coefficient, and SCR1 is the short-circuit ratio at the monitoring point T1 at the current time.

[0069] Among them, the calculation formula for the predicted output of new energy at the monitoring point of the high-proportion new energy power system at the prediction time T2 is as follows:

[0070]

[0071] Among them, P2 is the active power injected by the new energy at the monitoring point at the predicted time T2, Q2 is the reactive power injected by the new energy at the monitoring point at the predicted time T2, P1 is the active power injected by the new energy at the monitoring point at the current time T1, Q1 is the reactive power injected by the new energy at the monitoring point at the current time T1, K0 is the conversion coefficient, Mg1 is the short-circuit ratio margin at the monitoring point T1 at the current time, and Mg2 is the short-circuit ratio margin at the monitoring point at the predicted time T2.

[0072] Among them, the calculation formula for the new energy output control amount at the prediction time T2 is as follows:

[0073]

[0074] Among them, ΔP is the output control amount of the new energy at the monitoring point T2 at the prediction time, P1 is the active power injected by the new energy at the monitoring point T1 at the current time, Q1 is the reactive power injected by the new energy at the monitoring point T1 at the current time, k0 is the conversion coefficient, Mg1 is the short-circuit ratio margin at the monitoring point T1 at the current time, Mg2 is the short-circuit ratio margin at the monitoring point T2 at the prediction time, and Q2 is the reactive power injected by the new energy at the monitoring point T2 at the prediction time;

[0075] Among them, Mg2=Mg0, Mg0 is the safety threshold.

[0076] The present invention is further described below with reference to specific cases:

[0077] The implementation steps for specific cases include:

[0078] A method for calculating short-circuit capacity of monitoring points in power systems with a high proportion of renewable energy is proposed;

[0079] A method for calculating the short-circuit ratio margin of monitoring points in a high-proportion renewable energy power system is proposed, and a safety threshold is set;

[0080] A new energy output prediction and calculation method for monitoring points in a high-proportion new energy power system is proposed;

[0081] A calculation method for the new energy output control quantity of monitoring points in a high-proportion new energy power system is proposed.

[0082] Optionally, a method for calculating the short-circuit capacity of monitoring points in a high-proportion renewable energy power system is proposed, including:

[0083] Time T1 is the current time, and the short-circuit capacity at the monitoring point is:

[0084]

[0085] In the formula, S ac1 is the short-circuit capacity at the monitoring point at time T1, SCR1 is the short-circuit ratio at the monitoring point at time T1, P1 is the active power injected by the new energy at the monitoring point at time T1, and Q1 is the reactive power injected by the new energy at the monitoring point at time T1.

[0086] Optionally, a short-circuit ratio margin calculation method for monitoring points of a high-proportion renewable energy power system and setting of a safety threshold include:

[0087] The short circuit ratio margin at the monitoring point at time T1 is:

[0088]

[0089] Where Mg1 is the short-circuit ratio margin at the monitoring point at time T1, CSCR1 is the critical short-circuit ratio at the monitoring point at time T1, and k0 is the conversion coefficient.

[0090] The safety threshold is set to Mg0. If Mg1≤Mg0, the new energy control amount is calculated; if Mg1>Mg0, the new energy control amount is not calculated.

[0091] Optionally, a method for calculating the output prediction of new energy at monitoring points of a high-proportion new energy power system is proposed, including:

[0092] Time T2 is the prediction time, and the short-circuit capacity at the monitoring point is:

[0093]

[0094] In the formula, S ac2 is the short-circuit capacity at the monitoring point at time T2, SCR2 is the short-circuit ratio at the monitoring point at time T2, P2 is the active power injected by the new energy at the monitoring point at time T2, and Q2 is the reactive power injected by the new energy at the monitoring point at time T2.

[0095] The short circuit ratio margin at the monitoring point at time T2 is:

[0096]

[0097] Wherein, Mg2 is the short circuit ratio margin at the monitoring point at time T2, SCR2 is the short circuit ratio at the monitoring point at time T2, and CSCR2 is the critical short circuit ratio at the monitoring point at time T2.

[0098] The short-circuit capacity and reactive power at the monitoring point at time T1 and time T2 are the same, and the critical short-circuit ratio is the same:

[0099] CSCR1=CSCR2 (5)

[0100] The difference in short circuit ratio between time T1 and time T2 is:

[0101]

[0102] After finishing, we can get:

[0103]

[0104] The predicted output of new energy at the monitoring point at time T2 is:

[0105]

[0106] Optionally, a method for calculating the controlled amount of new energy output at a monitoring point of a high-proportion new energy power system includes:

[0107] Set the short-circuit ratio margin at time T2 to meet the control target:

[0108] Mg2=Mg0 (10)

[0109] The control amount of new energy output at the monitoring point is:

[0110]

[0111] The present invention aims to reduce the risk of voltage instability caused by excessive output of renewable energy in the system, by analyzing the stability margin of the system voltage support strength, calculating the renewable energy output control amount that can meet the safety requirements, improving the timeliness of renewable energy output control, and ensuring the voltage support strength of the system.

[0112] Embodiment 2:

[0113] The present invention also proposes a new energy output control optimization system 200 for a high-proportion new energy power system, such as Figure 2 As shown, including:

[0114] The data monitoring unit 201 is used to obtain monitoring data of monitoring points of the high-proportion new energy power system;

[0115] A calculation unit 202 is used to calculate the new energy output control amount at the prediction time T2 of the monitoring point of the high-proportion new energy power system based on the monitoring data;

[0116] The optimization control unit 203 is used to control the high-proportion new energy power system based on the control optimization amount to optimize the new energy output of the high-proportion new energy power system.

[0117] The calculation unit 202 calculates the new energy output control amount at the prediction time T2 of the monitoring point of the high-proportion new energy power system based on the monitoring data, including:

[0118] Based on the monitoring data, the short-circuit capacity of the monitoring point of the high-proportion new energy power system at the current time T1 and the short-circuit ratio margin at the current time T1 are calculated, and the predicted new energy output of the monitoring point of the high-proportion new energy power system at the predicted time T2 is calculated according to the short-circuit capacity at the current time T1 and the short-circuit ratio margin at the current time T1;

[0119] According to the predicted output of the new energy at the predicted time T2 and the preset safety threshold, the output control amount of the new energy at the predicted time T2 is calculated.

[0120] The calculation unit 202 calculates the short-circuit capacity of the monitoring point of the high-proportion new energy power system at the current time T1, as follows:

[0121]

[0122] Among them, S ac1 is the short-circuit capacity at the monitoring point T1 at the current moment, SCR1 is the short-circuit ratio at the monitoring point T1 at the current moment, P1 is the active power injected by the new energy at the monitoring point T1 at the current moment, and Q1 is the reactive power injected by the new energy at the monitoring point T1 at the current moment.

[0123] The calculation unit 202 calculates the short-circuit ratio margin of the monitoring point of the high-proportion new energy power system at the current time T1, as follows:

[0124]

[0125] Among them, Mg1 is the short-circuit ratio margin at the monitoring point T1 at the current time, CSCR1 is the critical short-circuit ratio at the monitoring point T1 at the current time, k0 is the conversion coefficient, and SCR1 is the short-circuit ratio at the monitoring point T1 at the current time.

[0126] The calculation unit 202 calculates the formula for calculating the predicted output of new energy at the high-proportion new energy power system monitoring point at the predicted time T2 as follows:

[0127]

[0128] Among them, P2 is the active power injected by the new energy at the monitoring point at the predicted time T2, Q2 is the reactive power injected by the new energy at the monitoring point at the predicted time T2, P1 is the active power injected by the new energy at the monitoring point at the current time T1, Q1 is the reactive power injected by the new energy at the monitoring point at the current time T1, k0 is the conversion coefficient, Mg1 is the short-circuit ratio margin at the monitoring point at the current time T1, and Mg2 is the short-circuit ratio margin at the monitoring point at the predicted time T2.

[0129] The calculation unit 202 calculates the formula for the new energy output control amount at the prediction time T2 as follows:

[0130]

[0131] Among them, ΔP is the output control amount of the new energy at the monitoring point T2 at the prediction time, P1 is the active power injected by the new energy at the monitoring point T1 at the current time, Q1 is the reactive power injected by the new energy at the monitoring point T1 at the current time, k0 is the conversion coefficient, Mg1 is the short-circuit ratio margin at the monitoring point T1 at the current time, Mg2 is the short-circuit ratio margin at the monitoring point T2 at the prediction time, and Q2 is the reactive power injected by the new energy at the monitoring point T2 at the prediction time;

[0132] Among them, Mg2=Mg0, Mg0 is the safety threshold.

[0133] The present invention can calculate the control amount of renewable energy output through monitoring, and then perform optimization control through the control amount. The calculation is simple and meets the voltage support strength requirement of the system.

[0134] Embodiment 3:

[0135] Based on the same inventive concept, the present invention also provides a computer device, which includes a processor and a memory, wherein the memory is used to store a computer program, the computer program includes program instructions, and the processor is used to execute the program instructions stored in the computer storage medium. The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, which is suitable for implementing one or more instructions, and is specifically suitable for loading and executing one or more instructions in the computer storage medium to implement the corresponding method flow or corresponding functions, so as to implement the steps of the method in the above embodiment.

[0136] Embodiment 4:

[0137] Based on the same inventive concept, the present invention also provides a storage medium, specifically a computer-readable storage medium (Memory), which is a memory device in a computer device for storing programs and data. It is understandable that the computer-readable storage medium here can include both a built-in storage medium in a computer device and an extended storage medium supported by the computer device. The computer-readable storage medium provides a storage space, which stores the operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by a processor are also stored in the storage space, and these instructions can be one or more computer programs (including program codes). It should be noted that the computer-readable storage medium here can be a high-speed RAM memory or a non-volatile memory, such as at least one disk memory. The processor can load and execute one or more instructions stored in the computer-readable storage medium to implement the steps of the method in the above embodiment.

[0138] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes. The schemes in the embodiments of the present invention may be implemented in various computer languages, for example, object-oriented programming language Java and literal scripting language JavaScript, etc.

[0139] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0140] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0141] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0142] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0143] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A new energy output control optimization method for a high-proportion new energy power system, characterized in that: include: Obtain monitoring data from monitoring points of power systems with a high proportion of new energy; Based on the monitoring data, the new energy output control amount at the high-proportion new energy power system monitoring point prediction time T2 is calculated; Based on the control optimization amount, the high-proportion new energy power system is controlled to optimize the new energy output of the high-proportion new energy power system.

2. The method according to claim 1, characterized in that The method of calculating the new energy output control amount at the prediction time T2 of the monitoring point of the high-proportion new energy power system based on the monitoring data includes: Based on the monitoring data, the short-circuit capacity of the monitoring point of the high-proportion new energy power system at the current time T1 and the short-circuit ratio margin at the current time T1 are calculated, and the predicted new energy output of the monitoring point of the high-proportion new energy power system at the predicted time T2 is calculated according to the short-circuit capacity at the current time T1 and the short-circuit ratio margin at the current time T1; According to the predicted output of the new energy at the predicted time T2 and the preset safety threshold, the output control amount of the new energy at the predicted time T2 is calculated.

3. The method according to claim 2, characterized in that The calculation formula for the short-circuit capacity of the monitoring point of the high-proportion new energy power system at the current time T1 is obtained by the calculation as follows: Among them, S ac1 is the short-circuit capacity at the monitoring point T1 at the current moment, SCR1 is the short-circuit ratio at the monitoring point T1 at the current moment, P1 is the active power injected by the new energy at the monitoring point T1 at the current moment, and Q1 is the reactive power injected by the new energy at the monitoring point T1 at the current moment.

4. The method according to claim 2, characterized in that: The calculation formula for the short-circuit ratio margin of the monitoring point of the high-proportion new energy power system at the current time T1 is obtained by the calculation, as follows: Among them, Mg1 is the short-circuit ratio margin at the monitoring point T1 at the current time, CSCR1 is the critical short-circuit ratio at the monitoring point T1 at the current time, k0 is the conversion coefficient, and SCR1 is the short-circuit ratio at the monitoring point T1 at the current time.

5. The method according to claim 2, characterized in that: The calculation formula for obtaining the predicted output of new energy at the monitoring point of the high-proportion new energy power system at the predicted time T2 is as follows: Among them, P2 is the active power injected by the new energy at the monitoring point at the predicted time T2, Q2 is the reactive power injected by the new energy at the monitoring point at the predicted time T2, P1 is the active power injected by the new energy at the monitoring point at the current time T1, Q1 is the reactive power injected by the new energy at the monitoring point at the current time T1, k0 is the conversion coefficient, Mg1 is the short-circuit ratio margin at the monitoring point at the current time T1, and Mg2 is the short-circuit ratio margin at the monitoring point at the predicted time T2.

6. The method according to claim 2, characterized in that The calculation formula for the new energy output control amount at the prediction time T2 is as follows: Among them, ΔP is the output control amount of the new energy at the monitoring point T2 at the prediction time, P1 is the active power injected by the new energy at the monitoring point T1 at the current time, Q1 is the reactive power injected by the new energy at the monitoring point T1 at the current time, k0 is the conversion coefficient, Mg1 is the short-circuit ratio margin at the monitoring point T1 at the current time, Mg2 is the short-circuit ratio margin at the monitoring point T2 at the prediction time, and Q2 is the reactive power injected by the new energy at the monitoring point T2 at the prediction time; Among them, Mg2=Mg0, Mg0 is the safety threshold.

7. A new energy output control optimization system for a high-proportion new energy power system, characterized in that: include: A data monitoring unit, used to obtain monitoring data of monitoring points of a high-proportion renewable energy power system; A calculation unit, configured to calculate, based on the monitoring data, a new energy output control amount at a predicted time T2 of a monitoring point of a high-proportion new energy power system; The optimization control unit is used to control the high-proportion new energy power system based on the control optimization amount to optimize the new energy output of the high-proportion new energy power system.

8. The system according to claim 7, characterized in that The calculation unit calculates the new energy output control amount at the prediction time T2 of the monitoring point of the high-proportion new energy power system based on the monitoring data, including: Based on the monitoring data, the short-circuit capacity of the monitoring point of the high-proportion new energy power system at the current time T1 and the short-circuit ratio margin at the current time T1 are calculated, and the predicted new energy output of the monitoring point of the high-proportion new energy power system at the predicted time T2 is calculated according to the short-circuit capacity at the current time T1 and the short-circuit ratio margin at the current time T1; According to the predicted output of the new energy at the predicted time T2 and the preset safety threshold, the output control amount of the new energy at the predicted time T2 is calculated.

9. The system according to claim 8, characterized in that The calculation unit calculates the short-circuit capacity of the monitoring point of the high-proportion new energy power system at the current time T1, as follows: Among them, S ac1 is the short-circuit capacity at the monitoring point T1 at the current moment, SCR1 is the short-circuit ratio at the monitoring point T1 at the current moment, P1 is the active power injected by the new energy at the monitoring point T1 at the current moment, and Q1 is the reactive power injected by the new energy at the monitoring point T1 at the current moment.

10. The system according to claim 8, characterized in that The calculation unit calculates the short-circuit ratio margin of the monitoring point of the high-proportion new energy power system at the current time T1, as follows: Among them, Mg1 is the short-circuit ratio margin at the monitoring point T1 at the current time, CSCR1 is the critical short-circuit ratio at the monitoring point T1 at the current time, k0 is the conversion coefficient, and SCR1 is the short-circuit ratio at the monitoring point T1 at the current time.

11. The system according to claim 8, characterized in that The calculation unit calculates the formula for calculating the predicted output of new energy at the monitoring point of the high-proportion new energy power system at the predicted time T2 as follows: Among them, P2 is the active power injected by the new energy at the monitoring point at the predicted time T2, Q2 is the reactive power injected by the new energy at the monitoring point at the predicted time T2, P1 is the active power injected by the new energy at the monitoring point at the current time T1, Q1 is the reactive power injected by the new energy at the monitoring point at the current time T1, k0 is the conversion coefficient, Mg1 is the short-circuit ratio margin at the monitoring point at the current time T1, and Mg2 is the short-circuit ratio margin at the monitoring point at the predicted time T2.

12. The system according to claim 8, characterized in that The calculation unit calculates the calculation formula for the new energy output control amount at the prediction time T2 as follows: Among them, ΔP is the output control amount of the new energy at the monitoring point T2 at the prediction time, P1 is the active power injected by the new energy at the monitoring point T1 at the current time, Q1 is the reactive power injected by the new energy at the monitoring point T1 at the current time, k0 is the conversion coefficient, Mg1 is the short-circuit ratio margin at the monitoring point T1 at the current time, Mg2 is the short-circuit ratio margin at the monitoring point T2 at the prediction time, and Q2 is the reactive power injected by the new energy at the monitoring point T2 at the prediction time; Among them, Mg2=Mg0, Mg0 is the safety threshold.

13. A computer device, characterized in that: include: one or more processors; a processor for executing one or more programs; When the one or more programs are executed by the one or more processors, the method according to any one of claims 1 to 6 is implemented.

14. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed, the method according to any one of claims 1 to 6 is implemented.

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