Novel power system multi-dimensional support demand index evaluation method and system

Abstract

The invention discloses a novel electric power system multi-dimensional support demand index evaluation method and system, and belongs to the field of electric power system demand estimation, and the method comprises the steps: analyzing the net load data condition of an electric power system based on system load data and new energy output data; screening extreme weather new energy continuous low output data according to the new energy output data based on the power system net load data condition, determining the time slice of the extreme weather, and obtaining the net load data of the extreme weather period; and determining a support demand index in the time sequence based on the extreme weather period net load data and the total time sequence net load data, and carrying out support planning on the novel power system power supply. According to the method, a multi-dimensional supporting index system of the supporting power supply is more comprehensively constructed, and a reference basis is provided for novel power system supporting power supply planning.

Description

Technical Field

[0001] The present invention relates to the technical field of power system demand estimation, and in particular to a novel power system multi-dimensional supporting demand indicator evaluation method and system. Background Art

[0002] Under the background of the construction of new power systems, my country's power structure will change from the traditional thermal power-dominated to a complex structure dominated by renewable energy generation, with coal power, gas power, nuclear power, energy storage and other power sources as important supports. With the gradual increase in the penetration rate of new energy, the various types of support requirements of the new power system, such as power, electricity, and regulation, are becoming increasingly complex. The power planning research for supporting power sources such as coal power, gas power, nuclear power, and energy storage is also more important. Therefore, a new type of power system multi-dimensional support demand indicator evaluation method is urgently needed. The existing indicator system is mainly constructed for new energy or power system flexibility, and no description of support has been seen, and there is currently no support demand indicator. Summary of the invention

[0003] In order to solve the above problems, the purpose of the present invention is to provide a new type of multi-dimensional supporting demand indicator evaluation technology for power systems, aiming to construct a supporting demand indicator system from various supporting demands such as power support, power support, multi-scale adjustment support, etc., and based on the continuous low-output identification technology of new energy, propose supporting indicators including power and power support demand, peak demand, peak-shaving demand, etc., to more comprehensively construct a multi-dimensional supporting indicator system for supporting power sources, and provide a reference basis for the supporting power source planning of new power systems.

[0004] In order to achieve the above technical objectives, the present application provides a novel method for evaluating multi-dimensional supporting demand indicators of a power system, comprising the following steps:

[0005] Analyze the net load data of the power system based on system load data and renewable energy output data;

[0006] Based on the net load data of the power system, filter the continuous low output data of new energy in extreme weather according to the output data of new energy, determine the time segment of extreme weather, and obtain the net load data during extreme weather periods;

[0007] Based on the net load data during extreme weather periods and the total time series net load data, the supporting demand indicators within the time series are determined, and supporting planning is carried out for the power supply of the new power system.

[0008] Preferably, in the process of obtaining the net load status of the power system, the net load status of the power system is determined based on the system load data in a certain time series and the new energy output data in the corresponding time series.

[0009] Preferably, in the process of obtaining the time segment where the extreme weather occurs, the time segment where the extreme weather occurs is determined based on the average output of the system in a certain time segment, the maximum value of the output data, the low output boundary coefficient and the low output duration boundary.

[0010] Preferably, in the process of obtaining the supporting demand indicators, the power supporting demand indicator, the electricity supporting demand indicator, the peak load supporting demand indicator and the climbing support demand indicator are used as supporting demand indicators.

[0011] Preferably, in the process of obtaining the power support demand indicator, the power support demand indicator is obtained based on the power support demand and the time period set of the time segment in which the extreme weather occurs.

[0012] Preferably, in the process of obtaining the electricity support demand indicator, the electricity support demand indicator is obtained based on the electricity support demand and the time period set of the time segment in which the extreme weather occurs.

[0013] Preferably, in the process of obtaining the peak-shaving support demand indicator, the peak-shaving support demand indicator is obtained based on the peak-shaving capacity in the mth cycle, the maximum and minimum values ​​of the net load in the mth cycle, the peak-shaving support demand, and the peak-shaving support demand coefficient.

[0014] Preferably, in the process of obtaining the slope support demand index, the slope support demand index is determined according to the net load change rate, the slope support demand and the slope support demand coefficient at a certain moment.

[0015] Preferably, based on the power support demand index, the quantity support demand index, the peak load support demand index and the ramp support demand index, a multi-dimensional support indicator system for power supply is constructed to carry out support planning for the power supply of the new power system.

[0016] The present invention discloses a novel multi-dimensional support demand index evaluation system for a power system, which is used for the novel multi-dimensional support demand index evaluation method for a power system mentioned above, comprising:

[0017] Data analysis module, used to analyze the net load data of the power system based on system load data and renewable energy output data;

[0018] The data processing module is used to screen the continuous low output data of new energy in extreme weather according to the output data of new energy based on the net load data of the power system, determine the time segment of extreme weather, and obtain the net load data during the extreme weather period;

[0019] The supporting planning module is used to determine the supporting demand indicators within the time series based on the net load data during extreme weather periods and the total time series net load data, and to carry out supporting planning for new power system power sources.

[0020] The present invention discloses the following technical effects:

[0021] In view of the fact that there are currently few indicator systems on supporting demand and there is no description of supporting power supply, the present invention proposes supporting indicators including electric power supporting demand, peak demand, peak-shaving demand, etc. based on the continuous low-output identification technology of new energy, and constructs a more comprehensive multi-dimensional supporting indicator system for supporting power supply, providing a reference for the planning of supporting power supply for new power systems. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0023] Figure 1 It is a schematic diagram of the method flow of the present invention. DETAILED DESCRIPTION

[0024] To make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the technical scheme 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, rather than all of the embodiments. The components of the embodiments of the present application generally described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

[0025] like Figure 1 As shown, the present invention provides a novel method for evaluating multi-dimensional supporting demand indicators of a power system, comprising the following steps:

[0026] Analyze the net load data of the power system based on system load data and renewable energy output data;

[0027] Based on the net load data of the power system, filter the continuous low output data of new energy in extreme weather according to the output data of new energy, determine the time segment of extreme weather, and obtain the net load data during extreme weather periods;

[0028] Based on the net load data during extreme weather periods and the total time series net load data, the supporting demand indicators within the time series are determined, and supporting planning is carried out for the power supply of the new power system.

[0029] Further preferably, the new type of multi-dimensional supporting demand indicator evaluation method for a power system provided by the present invention, in the process of obtaining the net load condition of the power system, determines the net load condition of the power system based on the system load data in a certain time series and the new energy output data in the corresponding time series.

[0030] Further preferably, the new type of multi-dimensional supporting demand indicator evaluation method for power system provided by the present invention, in the process of obtaining the time segment where the extreme weather occurs, determines the time segment where the extreme weather occurs based on the average output of the system in a certain time segment, the maximum value of the output data, the low output boundary coefficient and the low output duration boundary.

[0031] Further preferably, the new type of power system multi-dimensional supporting demand indicator evaluation method provided by the present invention uses the power supporting demand indicator, the electricity supporting demand indicator, the peak load supporting demand indicator and the climbing support demand indicator as supporting demand indicators in the process of obtaining supporting demand indicators.

[0032] Further preferably, the new type of multi-dimensional supporting demand indicator evaluation method for a power system provided by the present invention, in the process of obtaining the power support demand indicator, obtains the power support demand indicator according to a set of time periods of the time segment in which the power support demand and the extreme weather are located.

[0033] Further preferably, the novel multi-dimensional supporting demand index evaluation method for a power system provided by the present invention, in the process of obtaining the power support demand index, obtains the power support demand index according to a set of time periods of the power support demand and the time segment in which the extreme weather occurs.

[0034] Further preferably, the new type of power system multi-dimensional supporting demand indicator evaluation method provided by the present invention, in the process of obtaining the peak-shaving support demand indicator, obtains the peak-shaving support demand indicator based on the peak-shaving capacity in the mth cycle, the maximum and minimum values ​​of the net load in the mth cycle, the peak-shaving support demand, and the peak-shaving support demand coefficient.

[0035] Further preferably, the new power system multi-dimensional supporting demand index evaluation method provided by the present invention determines the climbing support demand index according to the net load change rate, climbing support demand and climbing support demand coefficient at a certain moment in the process of obtaining the climbing support demand index.

[0036] Further preferably, the new power system multi-dimensional supporting demand indicator evaluation method provided by the present invention constructs a multi-dimensional supporting indicator system for power sources based on power support demand indicators, electricity support demand indicators, peak load support demand indicators and climbing support demand indicators, and carries out support planning for the power source of the new power system.

[0037] The present invention also discloses a novel power system multi-dimensional support demand index evaluation system, which is used for the novel power system multi-dimensional support demand index evaluation method mentioned above, including:

[0038] Data analysis module, used to analyze the net load data of the power system based on system load data and renewable energy output data;

[0039] The data processing module is used to screen the continuous low output data of new energy in extreme weather according to the output data of new energy based on the net load data of the power system, determine the time segment of extreme weather, and obtain the net load data during the extreme weather period;

[0040] The supporting planning module is used to determine the supporting demand indicators within the time series based on the net load data during extreme weather periods and the total time series net load data, and to carry out supporting planning for new power system power sources.

[0041] Embodiment: The present invention provides a method for evaluating multi-dimensional supporting demand indicators of a new (new energy) power system, which specifically includes the following steps:

[0042] Step S1: Obtain system load data and renewable energy output data to determine the net load data of the power system;

[0043] Step S2: Filter the extreme weather new energy continuous low output data according to the new energy output data, and determine the time segment of the extreme weather;

[0044] Step S3: Based on the net load data during the extreme weather period and the total time series net load data, determine the power support demand index, the electricity support demand index, the peak load support demand index, and the climbing support demand index within the time series.

[0045] In step 1, the system load data and renewable energy output data are obtained to determine the net load data of the power system, including

[0046] Get the system load data P in a certain time series respectively Load (t) and the corresponding time series new energy output data P New (t);

[0047] Determine the net load of the power system, the calculation formula is as follows:

[0048] PNet (t) = P Load (t)-P New (t).

[0049] In step 2, the extreme weather and continuous low output data of new energy are screened according to the new energy output data to determine the time segment of extreme weather, including:

[0050] The model of continuous low output of new energy in extreme weather is as follows:

[0051]

[0052] In the formula represents the average output of the system's renewable energy in the time segment t∈t1, t2, R New，max It represents the maximum value of the obtained new energy output data, λ represents the new energy low output boundary coefficient, and τ represents the new energy low output duration boundary. The obtained time segments t1 and t2 are the time segments where extreme weather occurs.

[0053] In step 3, based on the net load data during the extreme weather period and the total time series net load data, the power support demand index, the power supply support demand index, the peak load support demand index, and the ramp support demand index within the time series are determined, including:

[0054] The calculation method of power support demand index is as follows:

[0055]

[0056] Where P Sup,R,max represents the power support demand, K τ A collection of time periods representing the time segments of extreme weather;

[0057] The calculation method of the power support demand index is as follows:

[0058]

[0059] In the formula, E Sup,R,max Indicates the power support demand, K τ A collection of time periods representing the time segments of extreme weather;

[0060] The calculation method of peak load support demand index is as follows:

[0061]

[0062] Where P Net，peak，m represents the peak load capacity in the mth cycle, P Net，max，m and P Net，min，m Respectively represent the maximum and minimum values ​​of the net load in the mth cycle, P Net，peak，max represents the peak load support demand, βNet，peak Represents the peak load support demand coefficient.

[0063] The calculation method of the climbing support demand index is as follows:

[0064]

[0065] Where P Net，ramp (t k +1) indicates the tth k +1 Net load change rate at a moment, P Net，ramp，max represents the climbing support requirement, β Net，ramp Represents the climbing support requirement coefficient.

[0066] The present invention proposes the concept of supporting demand, and based on the technology of identifying low output of new energy in extreme weather, proposes a calculation method from the perspectives of power support demand, peak demand, and peak-shaving demand, providing a reference basis for the supporting power supply planning of the new power system.

[0067] 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.

[0068] In the description of the present invention, it should be understood that the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

[0069] 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 novel method for evaluating multi-dimensional supporting demand indicators of power systems, characterized in that: The following steps are involved: Analyze the net load data of the power system based on system load data and renewable energy output data; Based on the net load data of the power system, the continuous low output data of new energy in extreme weather is screened according to the output data of new energy, the time segment of extreme weather is determined, and the net load data of extreme weather period is obtained; Based on the net load data during extreme weather periods and the total time series net load data, the supporting demand indicators within the time series are determined, and supporting planning is carried out for the power supply of the new power system.

2. According to claim 1, a novel method for evaluating multi-dimensional supporting demand indicators of a power system is characterized by: In the process of obtaining the net load status of the power system, the net load status of the power system is determined based on the system load data in a certain time series and the new energy output data in the corresponding time series.

3. According to claim 2, a novel method for evaluating multi-dimensional supporting demand indicators of a power system is characterized by: In the process of obtaining the time segment where the extreme weather occurs, the time segment where the extreme weather occurs is determined based on the average output of the system in a certain time segment, the maximum value of the output data, the low output boundary coefficient and the low output duration boundary.

4. According to claim 3, a novel method for evaluating multi-dimensional supporting demand indicators of a power system is characterized by: In the process of obtaining supporting demand indicators, the power supporting demand indicator, the electricity supporting demand indicator, the peak load supporting demand indicator and the climbing support demand indicator are used as the supporting demand indicators.

5. According to claim 4, a novel method for evaluating multi-dimensional supporting demand indicators of a power system is characterized by: In the process of obtaining the power support demand index, the power support demand index is obtained according to the power support demand and the time period set of the time segment in which the extreme weather occurs.

6. According to claim 5, a novel method for evaluating multi-dimensional supporting demand indicators of a power system is characterized by: In the process of obtaining the power support demand indicator, the power support demand indicator is obtained according to the power support demand and the time period set of the time segment in which the extreme weather occurs.

7. According to claim 6, a novel method for evaluating multi-dimensional supporting demand indicators of a power system is characterized by: In the process of obtaining the peak-shaving support demand indicator, the peak-shaving support demand indicator is obtained according to the peak-shaving capacity in the mth cycle, the maximum and minimum values ​​of the net load in the mth cycle, the peak-shaving support demand, and the peak-shaving support demand coefficient.

8. According to claim 7, a novel method for evaluating multi-dimensional supporting demand indicators of a power system is characterized by: In the process of obtaining the climbing support demand index, the climbing support demand index is determined according to the net load change rate, the climbing support demand and the climbing support demand coefficient at a certain moment.

9. According to claim 8, a novel method for evaluating multi-dimensional supporting demand indicators of a power system is characterized by: Based on the power support demand index, electricity support demand index, peak load support demand index and ramp support demand index, a multi-dimensional support indicator system for power sources is constructed to carry out support planning for the power source of the new power system.

10. A novel power system multi-dimensional support demand indicator evaluation system, used to implement a novel power system multi-dimensional support demand indicator evaluation method as claimed in any one of claims 1 to 9, characterized in that: include: Data analysis module, used to analyze the net load data of the power system based on system load data and renewable energy output data; A data processing module is used to screen the continuous low output data of new energy in extreme weather according to the output data of new energy based on the net load data of the power system, determine the time segment of extreme weather, and obtain the net load data of extreme weather period; The supporting planning module is used to determine the supporting demand indicators within the time series based on the net load data during extreme weather periods and the total time series net load data, and to carry out supporting planning for new power system power sources.

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