New energy consumption capability assessment method based on power system

Abstract

The invention provides a new energy consumption capability assessment method based on a power system, and relates to the technical field of power systems, and the method comprises the steps: collecting new energy data to select a core assessment index of new energy to establish an assessment index system, and obtaining a new energy consumption capability constraint factor through quantitative analysis based on the assessment index system; constructing a multi-dimensional evaluation model based on the new energy consumption capability constraint factors; calculating the admissible new energy maximum installed capacity of the power system by using the multi-dimensional evaluation model in combination with multiple time scales and multiple scenes so as to output an evaluation result of the new energy consumption capability; according to the new energy consumption capability assessment method based on the electric power system, by integrating electric power supply and demand balance, safety and stability constraint and electric energy quality multi-level analysis and combining multi-time scale simulation and multi-scene simulation, the comprehensiveness, dynamic adaptability and engineering practicability of assessment are remarkably improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power systems, in particular to a new energy consumption capacity evaluation method based on a power system. BACKGROUND

[0002] With the promotion of the "double carbon" goal, large-scale grid-connected wind power and photovoltaic power have gradually become the mainstream power source of the power system. As of the end of 2022, the cumulative installed capacity of wind and light in China reached 758 million kilowatts, accounting for nearly 30%, and the installed capacity of new energy in some provinces accounted for more than 60%. However, the strong randomness and weak inertia characteristics of new energy output, as well as the safety and stability constraints of the power grid and the lack of flexibility of the power supply structure, have led to frequent curtailment of wind and light, and high-proportion new energy grid-connected has caused safety accidents such as power grid blackouts in Australia and the United Kingdom.

[0003] The existing new energy consumption capacity evaluation method has the following limitations: single evaluation dimension: traditional methods are mostly based on power and energy balance or typical day analysis, ignoring the coupling effects of safety and stability constraints and power quality; insufficient dynamic adaptability: the temporal and spatial distribution characteristics and multi-time scale differences of new energy output are not fully considered, resulting in conservative or optimistic evaluation results; safety constraints are simplified: with high proportion of new energy grid-connected, system inertia is reduced and short-circuit capacity is reduced, and traditional methods are difficult to quantify the impact of frequency stability margin, voltage support strength and other dynamic constraints on consumption capacity.

[0004] Therefore, there is an urgent need for a multi-dimensional evaluation method that considers supply and demand balance, safety and stability, and power quality to accurately determine the maximum capacity of new energy that the system can carry and support new power system planning and operation. SUMMARY

[0005] The purpose of the present application is to provide a new energy consumption capacity evaluation method based on a power system, which can significantly improve the comprehensiveness and accuracy of the new energy consumption capacity evaluation of the power system, and solve the problem of single dimension of traditional methods.

[0006] The technical solution of the present application is as follows:

[0007] In a first aspect, the present application provides a new energy consumption capacity evaluation method based on a power system, which includes the following steps:

[0008] S1, collecting new energy data to select core evaluation indicators of new energy to establish an evaluation index system, and obtaining new energy consumption capacity constraint factors through quantitative analysis based on the evaluation index system;

[0009] S2, constructing a multi-dimensional evaluation model based on new energy consumption capacity constraint factors;

[0010] S3, using a multi-dimensional evaluation model, combining multi-time scales and multi-scenarios to calculate the maximum installed capacity of the power system that can accommodate new energy to output the evaluation result of new energy consumption capacity.

[0011] Further, the new energy data includes theoretical output data, historical output data and installed capacity of wind and light field stations; the core evaluation index of the new energy includes new energy generation, average consumption power, installed penetration rate, output penetration rate, power penetration rate, power abandonment rate and anti-peaking index.

[0012] Further, the new energy consumption capacity constraint factors include new energy output characteristics and external conditions, the new energy output characteristics include uncertainty, anti-peaking characteristics and weak inertia, and the external conditions include power supply structure flexibility, grid transmission capacity, external power characteristics and safety and stability constraints.

[0013] Further, the safety and stability constraints include frequency stability constraints, voltage stability constraints and transient power angle stability constraints; wherein the frequency stability constraints include minimum inertia requirement and maximum frequency change rate, the voltage stability constraints include static voltage margin and short circuit ratio, and the transient power angle stability constraints include power angle difference limit value.

[0014] Further, step S2 includes: establishing a multi-dimensional comprehensive evaluation model including time sequence production simulation, random production simulation, frequency and voltage stability constraint analysis and harmonic treatment according to new energy consumption capacity constraint factors, and the calculation formula includes:

[0015] Time sequence production simulation dimension:

[0016] E 消纳 =E 发电 -E 弃电 ,

[0017] R 消纳 =(E 消纳 / E 发电 )×100%,

[0018] Wherein, E 消纳 is the new energy consumption capacity, E 发电 is the total new energy generation, E 弃电 is the wind and light abandoned power, and R 消纳 is the new energy consumption rate.

[0019] Random production simulation dimension:

[0020] ΔP 调峰 =P 机组 -P 最小出力 ,

[0021] Wherein, ΔP 调峰To adjust the peak capacity surplus, P 机组 For the conventional unit output, P 最小出力 For the minimum technical output of the unit;

[0022] The frequency and voltage stability constraint analysis dimension:

[0023] V SM =1-V 临界 / V 额定 ,

[0024] S CR =S 短路 / S 额定 ,

[0025] Wherein, V SM is the static voltage margin, V 临界 is the voltage instability critical value, V 额定 is the rated voltage, S CR is the short circuit ratio, S 短路 is the short circuit capacity, S 额定 is the new energy rated capacity;

[0026] Harmonic governance dimension:

[0027] U=(U2+U3+...+U n ) / U1x100%,

[0028] Wherein, U is the total harmonic distortion, Un is the nth harmonic voltage, U1 is the fundamental voltage.

[0029] Further, the above-mentioned multi-dimensional evaluation model is used to calculate the maximum installed capacity of the new energy that the power system can accommodate in combination with multi-time scale and multi-scenario calculation process, which includes:

[0030] P=P re,max (t) - (P d (t) + P line,max -P g,min (t)),

[0031] Phi=E K / E d x100%,

[0032] P re,lim =min{P re,max ,P line,max -P loss},

[0033] In the formula, P is the peak gap, P re,max(t) is the theoretical maximum output of the new energy station at t time, P d(t) is the actual load power of the system at t time, P line,maxPmax is the maximum transmission power of the tie line g,min (t) is the minimum technical output of the conventional power source at time t, and f is the power penetration rate, and E K E is the actual consumption of new energy in the evaluation period d P is the total load of the system in the evaluation period re,lim Pmax is the maximum consumable power of the new energy under the line flow constraint re,max Pmax is the theoretical maximum output of the new energy station line,max Pmax is the maximum transmission power of the tie line loss Ploss is the line loss power in the transmission process.

[0034] In a second aspect, the present application provides an electronic device, comprising:

[0035] a memory for storing one or more programs;

[0036] a processor;

[0037] When the above one or more programs are executed by the above processor, a new energy consumption capacity evaluation method based on a power system as in any one of the above first aspects is implemented.

[0038] In a third aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements a new energy consumption capacity evaluation method based on a power system as in any one of the above first aspects.

[0039] Compared with the prior art, the present application has at least the following advantages or beneficial effects:

[0040] (1) The new energy consumption capacity evaluation method based on a power system provided by the present application, by constructing a three-dimensional framework of "power supply and demand balance - safety and stability constraint - power quality", the new energy output uncertainty, the conventional power source peak shaving capacity, the grid transmission bottleneck, the frequency / voltage stability margin and the harmonic treatment and other key factors are included in the unified model, and the new energy consumption capacity comprehensive evaluation under multiple constraint conditions is realized for the first time;

[0041] (2) The present application adopts a multi-time scale analysis method, the short-term through the peak shaving gap captures the intra-day wind and light rejection risk, and the long-term through the calculation of the power penetration rate realizes the day-month-year full cycle coverage, provides a more reliable safety boundary for the high proportion of new energy grid-connected system, and guarantees the operation safety of the power system;

[0042] (3) The key indicators such as the abandoned power rate, the peak shaving gap, and the voltage deviation output by the present application can directly guide the flexible resource allocation, reduce the new energy abandoned power rate, and support the large-scale development of new energy. BRIEF DESCRIPTION OF DRAWINGS

[0043] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the embodiments. It should be understood that the following drawings only show some of the embodiments of the present application, and therefore should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can also be obtained without creative labor.

[0044] Figure 1 A flowchart of steps of a new energy consumption capacity evaluation method based on a power system according to the present application;

[0045] Figure 2 A schematic structural block diagram of an electronic device according to an embodiment of the present application.

[0046] Icons: 101, memory; 102, processor; 103, communication interface. DETAILED DESCRIPTION

[0047] In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the following will combine the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are some of the embodiments of the present application, but not all the embodiments. The components of the embodiments of the present application described and shown in the drawings can be arranged and designed in various different configurations.

[0048] 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 claimed present application, but only represents selected embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0049] It should be noted that: similar reference numbers and letters represent similar items in the following drawings, and therefore, once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings.

[0050] It should be noted that: in this paper, the term "includes" or any other variant thereof is intended to cover non-exclusive inclusion, so that the process, method, article or device including a series of elements not only includes those elements, but also includes other elements not explicitly listed, or includes elements inherent to such process, method, article or device. Without more limitations, the elements defined by the statement "include" do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0051] Some embodiments of the present application will be described in detail with reference to the drawings. In the case of no conflict, each embodiment described below and each feature in the embodiments can be combined with each other.

[0052] Embodiment 1

[0053] Please refer to Figure 1 , Figure 1 The figure shows the steps of a new energy consumption capacity evaluation method based on a power system provided by the embodiments of the present application.

[0054] In the first aspect, the present application provides a new energy consumption capacity evaluation method based on a power system, which includes the following steps:

[0055] S1, collect new energy data to select core evaluation indexes of new energy to establish an evaluation index system, and obtain new energy consumption capacity constraint factors through quantitative analysis based on the evaluation index system;

[0056] S2, construct a multi-dimensional evaluation model based on the new energy consumption capacity constraint factors;

[0057] S3, use the multi-dimensional evaluation model to calculate the maximum installed capacity of new energy that the power system can accommodate in combination with multi-time scales and multi-scenarios to output the evaluation result of new energy consumption capacity.

[0058] As a preferred embodiment, the new energy data includes theoretical output data, historical output data and installed capacity of wind and light field stations; the core evaluation indexes of new energy include new energy generation, average consumption power, installed penetration rate, output penetration rate, power penetration rate, power abandonment rate and anti-peaking index.

[0059] As a preferred embodiment, the new energy consumption capacity constraint factors include the output characteristics of new energy itself and external conditions, the output characteristics of new energy itself include uncertainty, anti-peaking characteristics and weak inertia, and the external conditions include power supply structure flexibility, grid transmission capacity, external power characteristics and safety and stability constraints.

[0060] As a preferred embodiment, the safety and stability constraints include frequency stability constraints, voltage stability constraints and transient power angle stability constraints; wherein the frequency stability constraints include minimum inertia requirement and maximum frequency change rate, the voltage stability constraints include static voltage margin and short circuit ratio, and the transient power angle stability constraints include power angle difference limit value.

[0061] As a preferred embodiment, step S2 includes: establishing a multi-dimensional comprehensive evaluation model containing time sequence production simulation, random production simulation, frequency and voltage stability constraint analysis and harmonic treatment according to the new energy consumption capacity constraint factors, and the calculation formula includes:

[0062] Time sequence production simulation dimension:

[0063] E 消纳 =E 发电 -E 弃电 ,

[0064] R 消纳 =(E 消纳 / E 发电 )×100%,

[0065] wherein, E 消纳 is the new energy consumption, E 发电 is the total new energy generation, E 弃电 is the wind and light abandoned power, R 消纳 is the new energy consumption rate;

[0066] Random production simulation dimension:

[0067] ΔP 调峰 =P 机组 -P 最小出力 ,

[0068] wherein, ΔP 调峰 is the peak shaving capacity surplus, P 机组 is the conventional unit output, P 最小出力 is the minimum technical output of the unit;

[0069] Frequency and voltage stability constraint analysis dimension:

[0070] V SM =1-V 临界 / V 额定 ,

[0071] S CR =S 短路 / S 额定 ,

[0072] wherein, V SM is the static voltage margin, V 临界 is the voltage instability critical value, V 额定 is the rated voltage, S CR is the short circuit ratio, S 短路 is the short circuit capacity, S 额定 is the new energy rated capacity;

[0073] Harmonic control dimension:

[0074] U=(U2+U3+...+U n ) / U1×100%,

[0075] wherein, U is the total harmonic distortion rate, Un is the nth harmonic voltage, and U1 is the fundamental voltage.

[0076] As a preferred embodiment, the calculation process of the maximum installed capacity of the new energy that the power system can accommodate by using the multi-dimensional evaluation model, combining multi-time scale and multi-scenario includes:

[0077] P=P re,max (t)−(P d (t)+P line,max −P g,min (t)),

[0078] ϕ=E K / E d ×100%,

[0079] P re,lim =min{P re,max ,P line,max −P loss},

[0080] In the formula, P is the peak shaving gap, P re,max(t) is the theoretical maximum output of the new energy station at time t, P d(t) is the actual load power of the system at time t, P line,max is the maximum transmission power of the tie line, P g,min (t) is the minimum technical output of the conventional power source at time t, ϕ is the power penetration rate, E K is the actual consumption of new energy in the evaluation period, E d is the total load of the system in the evaluation period, P re,lim is the maximum consumable power of the new energy under the line flow constraint, P re,max is the theoretical maximum output of the new energy station, P line,max is the maximum transmission power of the tie line, and P loss is the line loss power in the transmission process.

[0081] Embodiment 2

[0082] Please refer to Figure 2 , Figure 2 a schematic structural block diagram of an electronic device provided by the embodiment of the application.

[0083] An electronic device includes a memory 101, a processor 102, and a communication interface 103, which are directly or indirectly electrically connected to each other to realize the transmission or interaction of data. For example, these elements can be electrically connected to each other through one or more communication buses or signal lines. The memory 101 can be used to store software programs and modules, and the processor 102 performs various functional applications and data processing by executing the software programs and modules stored in the memory 101. The communication interface 103 can be used for signaling or data communication with other node devices.

[0084] The memory 101 can be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Programmable Read-Only Memory (EPROM), an Electric Erasable Programmable Read-Only Memory (EEPROM), etc.

[0085] The processor 102 can be an integrated circuit chip with a signal processing capability. The processor 102 can be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), etc.; or can be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

[0086] It can be understood that the structure shown in the figure is only schematic, and the new energy consumption capacity evaluation method based on the power system can further include more or fewer components than those shown in the figure, or have a different configuration from that shown in the figure. Each component shown in the figure can be implemented by hardware, software or a combination thereof.

[0087] In the embodiments provided in this application, it should be understood that the disclosed methods can also be implemented in other ways. The embodiments described above are merely illustrative. For example, the flowcharts or block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of methods and computer program products according to various embodiments of this application. In this regard, each block in the flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than those marked in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagram and / or flowchart, and combinations of blocks in the block diagram and / or flowchart, can be implemented using a dedicated hardware-based system that performs the specified function or action, or using a combination of dedicated hardware and computer instructions.

[0088] In addition, the functional modules in the various embodiments of this application can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.

[0089] If the aforementioned functions are implemented as software functional modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0090] The above description is merely a preferred embodiment of this application and is not intended to limit this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

[0091] It will be apparent to those skilled in the art that the application is not limited to the details of the above-exemplified embodiments and that the present application can be implemented in other particular forms without departing from the spirit or essential characteristics thereof. The embodiments should be considered in all respects as illustrative and not restrictive, the scope of the application to be indicated by the appended claims rather than by the above description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. No reference herein to any prior art is to be taken as an admission that the application is not entitled to antedate such prior art by virtue of prior application. Any reference to the use of a term in the singular herein shall be understood in the context to describe a particular example or embodiment and should not be construed as limiting the scope of the application to that particular example or embodiment. Any reference to the use of terms in the plural herein shall be understood as referring to a plurality of instances of the referenced term and should not be construed as limiting the scope of the application to the plurality.

Claims

1. A method for assessing the renewable energy absorption capacity of a power system, characterized in that, Includes the following steps: S1. Collect new energy data to select core evaluation indicators for new energy to establish an evaluation indicator system, and obtain the limiting factors of new energy consumption capacity through quantitative analysis based on the evaluation indicator system. S2. Construct a multi-dimensional evaluation model based on the constraints of new energy absorption capacity; S3. Utilize a multi-dimensional evaluation model, combining multiple time scales and multiple scenarios to calculate the maximum installed capacity of new energy sources that the power system can accept, and output the evaluation results of the new energy absorption capacity.

2. The method for assessing the renewable energy absorption capacity of a power system as described in claim 1, characterized in that, The new energy data includes theoretical output data, historical output data, and installed capacity of wind and solar power plants; the core evaluation indicators of the new energy include new energy power generation, average power consumption, installed capacity penetration rate, power output penetration rate, electricity consumption penetration rate, curtailment rate, and anti-peak shaving index.

3. The method for assessing the renewable energy absorption capacity of a power system as described in claim 1, characterized in that, The limiting factors for the absorption capacity of new energy sources include the output characteristics of the new energy sources themselves and external conditions. The output characteristics of the new energy sources themselves include uncertainty, anti-peak shaving characteristics and weak inertia. The external conditions include the flexibility of the power supply structure, the grid transmission capacity, the characteristics of power supplied from outside the region and safety and stability constraints.

4. The method for assessing the renewable energy absorption capacity of a power system as described in claim 3, characterized in that, The safety and stability constraints include frequency stability constraints, voltage stability constraints, and transient power angle stability constraints; wherein, the frequency stability constraints include minimum inertia requirement and maximum frequency change rate, the voltage stability constraints include static voltage margin and short-circuit ratio, and the transient power angle stability constraints include power angle difference limit value.

5. The method for assessing the renewable energy absorption capacity of a power system as described in claim 1, characterized in that, Step S2 includes: establishing a multi-dimensional comprehensive evaluation model based on the constraints of new energy absorption capacity, including time-series production simulation, stochastic production simulation, frequency and voltage stability constraint analysis, and harmonic mitigation. The calculation formula includes: Time-series production simulation dimension: AND 消纳 =E 发电 -AND 弃电 , R 消纳 =(And 消纳 / AND 发电 )×100%, Among them, E 消纳 To facilitate the absorption of electricity from renewable energy sources, E 发电 E represents the total power generation from new energy sources. 弃电 For the curtailed wind and solar power, R 消纳 For the renewable energy consumption rate; Random production simulation dimensions: ΔP 调峰 =P 机组 -P 最小出力 , Wherein, ΔP 调峰 To ensure a surplus of peak-shaving capacity, P 机组 For the output of conventional units, P 最小出力 Minimize the technical output of the generator unit; Frequency and voltage stability constraint analysis dimensions: V SM =1-V 临界 / V 额定 , S CR =S 短路 / S 额定 , Among them, V SM V is the static voltage margin. 临界 V is the critical value for voltage instability. 额定 For the rated voltage, S CR S is the short-circuit ratio. 短路 For short-circuit capacity, S 额定 Rated capacity for new energy sources; Harmonic mitigation dimensions: U = (U² + U³ + ... + U) n ) / U1×100%, Where U is the total harmonic distortion rate, Un is the nth harmonic voltage, and U1 is the fundamental voltage.

6. The method for assessing the renewable energy absorption capacity of a power system as described in claim 1, characterized in that, The calculation process for determining the maximum installed capacity of renewable energy that the power system can accommodate, using a multi-dimensional evaluation model and combining multiple time scales and scenarios, includes: P=P re,max (t)−(P d (t)+P line,max −P g,min (t)), ϕ=E K / AND d ×100%, P re,lim =min{P re,max ,P line,max −P loss }, In the formula, P is the peak-shaving gap, P re,max(t) For the theoretical maximum output of the new energy power station at time t, P d(t) Let P be the actual system load power at time t. line,max P is the maximum transmission power of the tie line. g,min (t) represents the minimum technical output of the conventional power source at time t, ϕ represents the electricity penetration rate, and E K To assess the actual electricity consumption of new energy sources during the assessment period, E d To assess the total load power of the system during the period, P re,lim P represents the maximum absorbable power of new energy sources under power flow constraints. re,max To achieve the theoretical maximum output of the new energy power station, P line,max P is the maximum transmission power of the tie line. loss This refers to the power loss during power transmission.

7. An electronic device, characterized in that, include: Memory, used to store one or more programs; processor; When the processor executes the one or more programs, it implements a method for assessing the renewable energy absorption capacity of a power system as described in any one of claims 1-6.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the computer program implements a method for assessing the renewable energy absorption capacity of a power system as described in any one of claims 1-6.

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