New energy delivery system output optimization method and system based on golden section algorithm

Abstract

The invention discloses a new energy delivery system output optimization method and system based on a golden section algorithm, and belongs to the technical field of power system operation and control. The method comprises the following steps: determining an output priority mode and an operation boundary condition of the new energy system; determining a wind power output coefficient and a photovoltaic output coefficient of the new energy delivery system based on a golden section algorithm according to safety and stability constraints of the new energy delivery system under the output priority mode and the operation boundary condition; and based on the wind power output coefficient and the photovoltaic output coefficient, respectively optimizing the wind power output and the photovoltaic output of the new energy delivery system. The method can adapt to the influence of variable operation modes of the system and the new energy, and the output range of various new energy in the station meeting the basic temporary and steady state operation constraint is given.

Description

Technical Field

[0001] The present invention relates to the field of power system operation and control technology, and more specifically, to a method and system for optimizing the output of a new energy transmission system based on a golden section algorithm. Background Art

[0002] In recent years, the insufficient transmission capacity of large-scale new energy bases has become a key factor restricting the development and utilization of clean energy such as wind and solar energy.

[0003] The wind and solar energy resources in Shagohuang and southeastern Tibet are excellent and have great development potential, but these areas are often at the end of the power grid, with insufficient local power grid strength and weak voltage support, making it difficult to meet the large-scale power transmission needs of new energy bases. Considering the economic cost and implementation methods, a reasonable new energy capacity planning scheme is a necessary condition to solve the power transmission needs of this type of typical new energy transmission system.

[0004] In the power planning and analysis of traditional power systems, the power balance constraint is its core goal and key constraint. With the large-scale access of new energy sources such as wind and light, factors such as broadband oscillation, short-circuit ratio and overvoltage have also become key constraints restricting the scale of the system under the control of power electronic equipment. The power capacity planning that only relies on power balance analysis is difficult to fully consider the impact of system safety and stability on the scale of new energy transmission under variable operation modes. At the same time, considering that the new energy endowment of large-scale new energy bases is related to the regional resource distribution, the transmission distance is often difficult to optimize directly, and the types of new energy equipment, control methods and control parameters are very different. It is difficult to directly obtain the new energy output method through the mechanism analysis method. In engineering, there is an urgent need for an output optimization method that considers the safety and stability characteristics of different types of new energy. Summary of the invention

[0005] In view of the above problems, the present invention proposes a method for optimizing the output of a new energy delivery system based on a golden section algorithm, comprising:

[0006] Determine the output priority mode and operating boundary conditions of the new energy system;

[0007] Under the output priority mode and operating boundary conditions, based on the golden section algorithm and according to the safety and stability constraints of the new energy transmission system, the wind power output coefficient and the photovoltaic output coefficient of the new energy transmission system are determined;

[0008] Based on the wind power output coefficient and the photovoltaic output coefficient, the wind power output and the photovoltaic output of the new energy transmission system are optimized respectively.

[0009] Optionally, run boundary conditions, including:

[0010] The power of the transmission channel, the proportion of new energy installed capacity that meets the power balance requirements, and the power flag.

[0011] Optionally, under the output priority mode and under the operating boundary conditions, the wind power output coefficient and the photovoltaic output coefficient of the new energy transmission system are determined based on the golden section algorithm, including:

[0012] Under the output priority mode and operating boundary conditions, based on the golden section algorithm, the wind power output coefficient and the photovoltaic output coefficient of the new energy transmission system are determined according to the safety and stability constraints of the new energy transmission system.

[0013] Optionally, based on the golden section algorithm and according to the safety and stability constraints of the new energy transmission system, the wind power output coefficient and the photovoltaic output coefficient of the new energy transmission system are determined, including:

[0014] Based on the golden section method, according to the safety and stability constraints of the new energy transmission system, parameter optimization is performed to give the power coefficient of the new energy transmission system, and based on the power coefficient, the wind power output coefficient and photovoltaic output coefficient of the new energy transmission system are determined.

[0015] On the other hand, the present invention also proposes a new energy delivery system output optimization system based on the golden section algorithm, comprising:

[0016] The initial unit is used to determine the output priority mode and operating boundary conditions of the new energy system;

[0017] A calculation unit is used to determine the wind power output coefficient and the photovoltaic output coefficient of the new energy transmission system under the output priority mode and the operating boundary conditions based on the golden section algorithm and the safety and stability constraints of the new energy transmission system;

[0018] The optimization unit is used to optimize the wind power output and photovoltaic output of the new energy transmission system based on the wind power output coefficient and the photovoltaic output coefficient.

[0019] Optionally, run boundary conditions, including:

[0020] The power of the transmission channel, the proportion of new energy installed capacity that meets the power balance requirements, and the power flag.

[0021] Optionally, under the output priority mode and under the operating boundary conditions, the wind power output coefficient and the photovoltaic output coefficient of the new energy transmission system are determined based on the golden section algorithm, including:

[0022] Under the output priority mode and operating boundary conditions, based on the golden section algorithm, the wind power output coefficient and the photovoltaic output coefficient of the new energy transmission system are determined according to the safety and stability constraints of the new energy transmission system.

[0023] Optionally, based on the golden section algorithm and according to the safety and stability constraints of the new energy transmission system, the wind power output coefficient and the photovoltaic output coefficient of the new energy transmission system are determined, including:

[0024] Based on the golden section method, according to the safety and stability constraints of the new energy transmission system, parameter optimization is performed to give the power coefficient of the new energy transmission system, and based on the power coefficient, the wind power output coefficient and photovoltaic output coefficient of the new energy transmission system are determined.

[0025] In yet another aspect, the present invention further provides a computing device, comprising: one or more processors;

[0026] a processor for executing one or more programs;

[0027] When the one or more programs are executed by the one or more processors, the above-described method is implemented.

[0028] 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.

[0029] Compared with the prior art, the present invention has the following beneficial effects:

[0030] The present invention provides a method for optimizing the output of a new energy transmission system based on a golden section algorithm, including: determining the output priority mode and operating boundary conditions of the new energy system; under the output priority mode and operating boundary conditions, based on the golden section algorithm, according to the safety and stability constraints of the new energy transmission system, determining the wind power output coefficient and photovoltaic output coefficient of the new energy transmission system; based on the wind power output coefficient and photovoltaic output coefficient, respectively optimizing the wind power output and photovoltaic output of the new energy transmission system. The present invention can adapt to the influence of the variable operating modes of the system and new energy, and provide the output range of various types of new energy in the station that meet the basic temporary and steady-state operating constraints. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 is a flow chart of the method of the present invention;

[0032] Figure 2 This is a structural diagram of the new energy transmission system via AC according to the method of the present invention;

[0033] Figure 3 The overvoltage diagram of the new energy machine end before and after the output optimization of the method of the present invention;

[0034] Figure 4 It is a structural diagram of the system of the present invention. DETAILED DESCRIPTION

[0035] 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.

[0036] 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.

[0037] Embodiment 1:

[0038] The present invention proposes a method for optimizing the output of a new energy transmission system based on a golden section algorithm. Figure 1 As shown, including:

[0039] Step 1: Determine the output priority mode and operating boundary conditions of the new energy system;

[0040] Step 2: Under the output priority mode and operating boundary conditions, based on the golden section algorithm and in accordance with the safety and stability constraints of the new energy transmission system, determine the wind power output coefficient and the photovoltaic output coefficient of the new energy transmission system;

[0041] Step 3: Based on the wind power output coefficient and the photovoltaic output coefficient, respectively optimize the wind power output and the photovoltaic output of the new energy transmission system.

[0042] The operating boundary conditions include:

[0043] The power of the transmission channel, the proportion of new energy installed capacity that meets the power balance requirements, and the power flag.

[0044] Wherein, under the output priority mode and operating boundary conditions, based on the golden section algorithm, the wind power output coefficient and the photovoltaic output coefficient of the new energy transmission system are determined, including:

[0045] Under the output priority mode and operating boundary conditions, based on the golden section algorithm, the wind power output coefficient and the photovoltaic output coefficient of the new energy transmission system are determined according to the safety and stability constraints of the new energy transmission system.

[0046] Wherein, based on the golden section algorithm and according to the safety and stability constraints of the new energy transmission system, the wind power output coefficient and the photovoltaic output coefficient of the new energy transmission system are determined, including:

[0047] Based on the golden section method, according to the safety and stability constraints of the new energy transmission system, parameter optimization is performed to give the power coefficient of the new energy transmission system, and based on the power coefficient, the wind power output coefficient and photovoltaic output coefficient of the new energy transmission system are determined.

[0048] like Figure 2 As mentioned above, a typical new energy transmission system structure diagram is given, where P k Represents the output of the photovoltaic system; P w Represents wind power output; P t represents the output of the outbound channel. At the same time, let P krate , P wrate Respectively represent the rated installed capacity of photovoltaic and wind power based on the power balance; let P kmin , P wmin Represents the minimum output of photovoltaic and wind power respectively. For the convenience of explanation, the following flag signals are defined:

[0049] K _kp : Photovoltaic priority flag, when set to 1, it indicates that photovoltaic output is prioritized at this time;

[0050] K _wp : Wind power priority flag, when set to 1, it indicates that wind power output is prioritized at this time;

[0051] Note: K _kp , K _wp When both are 1 or both are 0, it means that wind power and photovoltaic power output are evenly shared.

[0052] Below, taking photovoltaic output priority as an example, the output optimization process of new energy bases based on the golden section method is explained.

[0053] Step 1: Determine the output priority mode and system operation boundary conditions.

[0054] Determine the outgoing channel power P t , determine the proportion of new energy installed capacity that meets the power balance requirements, determine the power flag, take photovoltaic priority as an example, set the photovoltaic priority flag K _kp Set to 1, wind power priority flag K _wp Set to 0.

[0055] Step 2: Based on the golden section method, determine the wind power and photovoltaic output coefficients in combination with safety and stability constraints.

[0056] Optimize the parameters according to the golden section method:

[0057] Step 1: In the first step, according to the golden section method, the photovoltaic and wind power outputs satisfy equation (1), where the superscript i=1, 2, 3···n is the number of iterations.

[0058]

[0059] In particular, when and only when i=1, the output of photovoltaic and wind turbines is initialized according to formula (2).

[0060]

[0061] In particular, considering the power generation capacity ratio given by the power balance constraint, the output of photovoltaic and wind power should also satisfy the constraint shown in formula (3).

[0062]

[0063] When formula (3) is not satisfied, the output of photovoltaic and wind power is given according to formula (4).

[0064]

[0065] Step 2: After determining the output of photovoltaic and wind turbines, the output coefficient P is given according to formula (5) kindex , P windex .

[0066]

[0067] Step 3: Calculate the multi-input short-circuit ratio (MRSCR) of the renewable energy machine end according to the output coefficient. The minimum short-circuit ratio should satisfy the constraint described in formula (6).

[0068] MRSCR ≥ 1.5 (6)

[0069] (a) Let the minimum margin of short-circuit ratio be E scr , if (MRSCR-1.5)>E scr , transfer to Step 4 to calculate the overvoltage situation and perform subsequent iterations;

[0070] (b) If (MRSCR-1.5)≤E scr , at this time the power coefficient is given by formula (7).

[0071]

[0072] Step 4: Calculate the overvoltage at the generator end after N-1 fault occurs in the new energy transmission system according to the output coefficient, and the transient voltage u after the fault ov Satisfy the constraints described in formula (8).

[0073] u ov ≤1.3 (8)

[0074] (c) Let the minimum margin of transient voltage rise be E ov , if (u ov -1.3)>E ov , go to Step 1 to recalculate the power coefficient and perform subsequent iterations;

[0075] (d) If (u ov -1.3)≤E ov , at this time the power coefficient is given by formula (7).

[0076] Step 5: Determine the photovoltaic and wind turbine outputs based on the given coefficients in Step 4(d), and the process ends.

[0077] like Figure 3 As shown, the effect of the proposed new energy output optimization method is briefly explained with a simple system. When the system operates in an output-sharing mode, the maximum overvoltage at the new energy machine end after the N-1 fault is 1.34pu, which exceeds the overvoltage constraint at the new energy machine end; when the output optimization method described in the present invention is used, the photovoltaic and wind turbine new energy output ratio is optimized to 2.7:1, and the maximum overvoltage at the new energy machine end is reduced to 1.25. Without changing the new energy control strategy and control parameters, the safe and stable operation requirements under the system short-circuit ratio and overvoltage constraints can be met by adjusting the system output state.

[0078] Embodiment 2:

[0079] The present invention also proposes a new energy delivery system output optimization system 200 based on the golden section algorithm, such as Figure 4 As shown, including:

[0080] Initial unit 201, used to determine the output priority mode and operation boundary conditions of the new energy system;

[0081] A calculation unit 202 is used to determine the wind power output coefficient and the photovoltaic output coefficient of the new energy transmission system under the output priority mode and the operating boundary conditions based on the golden section algorithm and according to the safety and stability constraints of the new energy transmission system;

[0082] The optimization unit 203 is used to optimize the wind power output and photovoltaic output of the new energy transmission system based on the wind power output coefficient and the photovoltaic output coefficient.

[0083] The operating boundary conditions include:

[0084] The power of the transmission channel, the proportion of new energy installed capacity that meets the power balance requirements, and the power flag.

[0085] Wherein, under the output priority mode and operating boundary conditions, based on the golden section algorithm, the wind power output coefficient and the photovoltaic output coefficient of the new energy transmission system are determined, including:

[0086] Under the output priority mode and operating boundary conditions, based on the golden section algorithm, the wind power output coefficient and the photovoltaic output coefficient of the new energy transmission system are determined according to the safety and stability constraints of the new energy transmission system.

[0087] Wherein, based on the golden section algorithm and according to the safety and stability constraints of the new energy transmission system, the wind power output coefficient and the photovoltaic output coefficient of the new energy transmission system are determined, including:

[0088] Based on the golden section method, according to the safety and stability constraints of the new energy transmission system, parameter optimization is performed to give the power coefficient of the new energy transmission system, and based on the power coefficient, the wind power output coefficient and photovoltaic output coefficient of the new energy transmission system are determined.

[0089] The present invention can adapt to the influence of variable operation modes of the system and new energy, and provide the output range of various new energy sources in the station to meet the basic temporary and steady-state operation constraints.

[0090] Embodiment 3:

[0091] 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.

[0092] Embodiment 4:

[0093] 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.

[0094] 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.

[0095] 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.

[0096] 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.

[0097] 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.

[0098] 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.

[0099] 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 method for optimizing the output of a new energy delivery system based on a golden section algorithm, characterized in that: include: Determine the output priority mode and operating boundary conditions of the new energy system; Under the output priority mode and operating boundary conditions, based on the golden section algorithm and according to the safety and stability constraints of the new energy transmission system, the wind power output coefficient and the photovoltaic output coefficient of the new energy transmission system are determined; Based on the wind power output coefficient and the photovoltaic output coefficient, the wind power output and the photovoltaic output of the new energy transmission system are optimized respectively.

2. The method for optimizing the output of a new energy delivery system according to claim 1, characterized in that: The operating boundary conditions include: The power of the transmission channel, the proportion of new energy installed capacity that meets the power balance requirements, and the power flag.

3. The method according to claim 1, characterized in that: Under the output priority mode and operating boundary conditions, based on the golden section algorithm, the wind power output coefficient and the photovoltaic output coefficient of the new energy transmission system are determined, including: Under the output priority mode and operating boundary conditions, based on the golden section algorithm, the wind power output coefficient and the photovoltaic output coefficient of the new energy transmission system are determined according to the safety and stability constraints of the new energy transmission system.

4. The method according to claim 3, characterized in that: Based on the golden section algorithm and in accordance with the safety and stability constraints of the new energy transmission system, the wind power output coefficient and the photovoltaic output coefficient of the new energy transmission system are determined, including: Based on the golden section method, according to the safety and stability constraints of the new energy transmission system, parameter optimization is performed to give the power coefficient of the new energy transmission system, and based on the power coefficient, the wind power output coefficient and photovoltaic output coefficient of the new energy transmission system are determined.

5. A new energy delivery system output optimization system based on the golden section algorithm, characterized in that: include: The initial unit is used to determine the output priority mode and operating boundary conditions of the new energy system; A calculation unit is used to determine the wind power output coefficient and the photovoltaic output coefficient of the new energy transmission system under the output priority mode and the operating boundary conditions based on the golden section algorithm and the safety and stability constraints of the new energy transmission system; The optimization unit is used to optimize the wind power output and photovoltaic output of the new energy transmission system based on the wind power output coefficient and the photovoltaic output coefficient.

6. The output optimization system of the new energy delivery system according to claim 5 is characterized in that: The operating boundary conditions include: The power of the transmission channel, the proportion of new energy installed capacity that meets the power balance requirements, and the power flag.

7. The system according to claim 5, characterized in that: Under the output priority mode and operating boundary conditions, based on the golden section algorithm, the wind power output coefficient and the photovoltaic output coefficient of the new energy transmission system are determined, including: Under the output priority mode and operating boundary conditions, based on the golden section algorithm, the wind power output coefficient and the photovoltaic output coefficient of the new energy transmission system are determined according to the safety and stability constraints of the new energy transmission system.

8. The system according to claim 7, characterized in that: Based on the golden section algorithm and in accordance with the safety and stability constraints of the new energy transmission system, the wind power output coefficient and the photovoltaic output coefficient of the new energy transmission system are determined, including: Based on the golden section method, according to the safety and stability constraints of the new energy transmission system, parameter optimization is performed to give the power coefficient of the new energy transmission system, and based on the power coefficient, the wind power output coefficient and photovoltaic output coefficient of the new energy transmission system are determined.

9. 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 4 is implemented.

10. 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 4 is implemented.

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