Flexible supply and demand balance electric pinch point analysis method

Abstract

The invention discloses a flexible supply and demand balance electric pinch point analysis method, and belongs to the technical field of power system planning. According to the method, flexible resources and demands are used as sources and traps, a net load curve is decomposed through continuous variational mode decomposition in combination with an optimization algorithm, and a flexible demand model is established; and establishing a flexible resource amplitude-frequency characteristic model by taking the flow and quality indexes of pinch point analysis as description standards of the flexible resources. According to an electric pinch point analysis graphical method based on flexible supply and demand matching, a source and trap combination curve is constructed, the bottleneck of flexible supply and demand matching is clarified by determining pinch points, and reasonable matching of flexible resources and demands is realized. And finally, performing time sequence operation simulation in the frequency band of the pinch point, and verifying the feasibility of the planning result. Compared with the prior art, a traditional planning framework is broken through, the flexible supply and demand balance electric pinch point analysis method is innovatively put forward, high dependence on an accurate time sequence prediction curve is avoided, and meanwhile the solving efficiency and the result reliability are considered.

Description

Technical Field

[0001] The present invention belongs to the technical field of power system planning, and particularly relates to a flexible supply-demand balance electric pinch point analysis method. Background Art

[0002] With the high proportion of renewable energy integrated into the power system, flexibility has become one of the core factors to ensure the safe and stable operation of the system. To meet the requirements of the new power system, in addition to paying attention to the traditional power balance, the flexible supply-demand balance has also become an important issue in the design and operation of the power system. The flexibility of the power system refers to the ability of the power system to optimize and allocate available resources to adapt to the random changes of power generation, power grid and load within the concerned time scale. The flexible supply-demand balance means that at any moment, any time scale and any direction, the abundance degree of the flexible supply of various resources in the system relative to the flexible demand exceeds a certain level. As fluctuating power sources such as wind energy and solar energy gradually become the main power supply sources of the power system, traditional "base load" power plants are gradually disappearing, the start-stop of conventional thermal power units is frequent, and the system relies on flexible resources such as hydropower plants, gas power plants, energy storage devices and flexible loads for regulation. These flexible resources work together to supplement the volatility of renewable energy. Therefore, the flexible supply-demand balance has become a core issue in the power system planning and operation.

[0003] The main idea of the existing methods is to model and analyze flexible resources and demands separately, and then achieve the matching of the two through operation simulation. The general idea of flexible demand analysis is to obtain multi-time scale component curves by decomposing the net load curve, and calculate the corresponding upward and downward flexible demands according to the fluctuation components of different frequency bands; however, there is no unified flexible measurement standard for both supply and demand sides, lack of an effective flexible supply-demand matching mechanism, and the research on flexible supply-demand balance mainly focuses on day-ahead and intra-day optimal scheduling, with a short research period. In the new power system, the traditional fixed time scale scheduling mode of 1h or 15min may cause the fast-changing flexible demands to be submerged in the scheduling process, so it is necessary to determine the scheduling time scale according to the flexibility change. In the long term, the planning model based on operation simulation is too dependent on the long-term time series prediction curve, and the solution difficulty increases exponentially with the increase of the simulation period and variables. There is an urgent need for an efficient and reliable flexible supply-demand matching method as the basis for resource scheduling and planning. Summary of the Invention

[0004] In view of the above problems existing in the existing flexible supply-demand balance analysis method of the power system, the present invention provides a flexible supply-demand balance electric pinch point analysis method to achieve the dual constraints of the total carbon emission amount and the regional pollutant concentration distribution.

[0005] To achieve the above object, the present invention adopts the following technical solutions:

[0006] Beneficial effects:

[0007] The present invention establishes an amplitude-frequency characteristic model of flexibility resources and demands using a unified characterization standard, conducts flexibility supply-demand matching under the source-sink matching framework of electrical pinch points, taking into account the global balance of the system's flexible regulation demand and energy; decomposes the net load curve using variational mode decomposition combined with a parameter intelligent optimization algorithm, matches suitable flexibility resources according to the fluctuation characteristics of sub-modes, considers the flexibility demands at different time scales, and avoids the influence of subjectively determining the spectral segmentation point on the result accuracy; determines the time scale of flexibility balance operation simulation based on electrical pinch points, avoiding the influence of a refined time scale on the model complexity and the neglect of fast-fluctuating flexibility demands by a coarsened time scale, and ensuring that the operation simulation results meet the system requirements. The proposed method breaks through the traditional planning framework and is expected to provide a new paradigm for the flexibility analysis and planning of new power systems. Description of the drawings

[0008] Figure 1 is the schematic diagram of the electrical pinch point analysis method for flexibility supply-demand balance of the present invention;

[0009] Figure 2 is the analysis steps of flexibility demand in the present invention;

[0010] Figure 3a , Figure 3b is the schematic diagram of the graphical method in the method of the present invention; wherein, Figure 3a is the schematic diagram of the source-sink combination curve when flexibility is sufficient, Figure 3b is the schematic diagram of the pinch point process;

[0011] Figure 4a , Figure 4b is the flexibility demand analysis result graph in the embodiment cited in the present invention; wherein, Figure 4a is the IMF component, Figure 4b is the spectrogram;

[0012] Figure 5 is the electrical pinch point analysis result in the embodiment cited in the present invention.

[0013] Figure 6a , Figure 6b , Figure 6c is the flexibility balance operation simulation result graph in the embodiment cited in the present invention; wherein, Figure 6a is the power balance, Figure 6b is the battery energy storage, Figure 6c is the pumped storage energy storage. Detailed implementation manners

[0014] In order to make the objectives, technical solutions and advantages of the present invention more clear and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other. In order to make the objectives, technical solutions and advantages of the present invention more clear and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0015] The embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

[0016] As Figure 1 shown, a flexible supply-demand balance electric pinch point analysis method according to an embodiment of the present invention includes the following steps:

[0017] Step 1: Decompose the net load power signal by using the continuous variational mode decomposition method, and combine the optimization algorithm and select a suitable fitness function for iterative optimization to achieve flexible demand analysis;

[0018] Step 2: Model the regulation capabilities of different types of flexible resources, and calculate the relevant parameters characterizing the flexible regulation capabilities, including the power supply capacity π (unit: MW), the power ramp rate capacity ρ (unit: MW / min), the energy supply capacity (unit: MWh), and the ramp duration δ (unit: min);

[0019] Step 3: Establish source and sink combination curves, and use the graphical method for matching to determine the electric pinch point, that is, the bottleneck of the flexible supply-demand matching, which also refers to the frequency band with the scarcest flexible resources, and determine the response frequency band and the minimum capacity demand of various flexible resources;

[0020] Step 4: Based on the electric pinch point analysis results, perform time-series operation simulation at the time scale specified by the electric pinch point to verify that the planning results meet the flexible demand.

[0021] Specifically, in Step 1, the variational mode decomposition (Successive variational mode decomposition, SVMD) is combined with the Red Bird Blue Magpie Optimization (RBMO) algorithm to decompose the net load sequence, and the permutation entropy is used as the optimized fitness function. The specific process is as Figure 2 shown, and the steps of decomposing the entire sequence are as follows:

[0022] Step 1.1: Initialize the population of the RBMO algorithm, set the number of iterations and population size of the RBMO, and set the parameter optimization range of the SVMD algorithm;

[0023] Step 1.2: Decompose the signal using SVMD, and calculate the permutation entropy of each Intrinsic Mode Function (IMF) component. Use the minimum value of the permutation entropy as the fitness function;

[0024] Step 1.3: Determine whether the optimization reaches the termination condition of the algorithm. If so, proceed to the next step; if not, update the population position and return to Step 1.2;

[0025] Step 1.4: Save the optimal combination of SVMD parameters and substitute it into the SVMD algorithm;

[0026] Step 1.5: Decompose the signal using the RBMO - SVMD method to obtain the best IMF components.

[0027] Specifically, after the decomposition in Step 1.5, an amplitude and frequency matrix of the "source" is obtained, and its expression is shown in Equations (1) - (2).

[0028] (1)

[0029] (2)

[0030] Among them, represents the signal decomposition transform, is the payload sequence, and L 1 ~L N are the decomposed subsequences; represents the Fourier transform, , are the amplitude and frequency matrices obtained after the decomposition of the payload subsequence. N represents the total number of subsequences, and i represents the subsequence number.

[0031] Specifically, in step 2, the flexibility balancing resources include conventional generating units, energy storage devices, and controllable loads, etc. Conventional power sources mainly include gas turbine units with regulation capabilities and thermal power units that have undergone flexibility transformation. The response cycle of thermal power units is restricted by factors such as steam pressure, mechanical losses of steam turbines, thermal fatigue of furnace tubes, and ramping capabilities. The flexibility adjustment ability of the equipment is poor, and the response cycle is usually on the hour scale. And a part of spinning reserve is reserved to cope with the uncertainty of renewable energy (spinning reserve refers to the generating capacity that is online but not loaded, which can compensate for the power generation gap caused by the failure of other generators or transformers, etc.). The flexibility of gas turbine units is relatively high, and the response cycle is also shorter than that of thermal power units. The response output model is shown in Equation (3):

[0032] (3)

[0033] Wherein, represents the output of the generating unit at time t, 、 represent the up and down ramping powers of the unit. is the time scale of power regulation.

[0034] Energy storage devices are mainly divided into power-type and energy-type. Their output models are shown in Equation (4). Power-type energy storage has the advantage of a short response cycle compared to energy-type energy storage, but its capacity is relatively small. Energy-type energy storage has a lower cost and a large response capacity, but a longer response cycle. Therefore, power-type energy storage and energy-type energy storage are usually used in combination, and this mode has better economic benefits.

[0035] (4)

[0036] Wherein, 、 represent the charging and discharging powers of the energy storage at time t, 、 are the charging and discharging identifiers of the energy storage, 、 are the charging and discharging efficiencies, is the energy storage state at time t; 、 are the response rates of the energy storage for charging and discharging; is the self-discharge coefficient.

[0037] A unified representation form is adopted to depict the flexibility resources. According to the output characteristics of different resources, an amplitude and frequency matrix representing the "source" is obtained, as shown in Equation (5).

[0038] (5)

[0039] Wherein, 、 、 They are the power ramp rate, power capacity, and energy supply capacity, respectively. , They are the amplitude and frequency matrices of the flexibility resources, respectively. It represents the mapping relationship between the amplitude-frequency matrix and the characteristic parameters. The power ramp rate is related to in the above model, and the power capacity π and the energy supply capacity are related to the installed capacity of the equipment.

[0040] Specifically, step 3 includes:

[0041] Both the sources and sinks are sorted according to their input / output quality indicators, as shown in Equation (6). In addition, the balance between the flow rate and quality between the sources and sinks needs to be ensured, as shown in Equations (7)-(8).

[0042] (6)

[0043] (7)

[0044] (8)

[0045] Among them, is the response frequency of the i-th flexibility source, is the fluctuation frequency of the j-th flexibility sink; is the number of sources, is the number of sinks; , respectively represent the flow rates of the i-th flexibility source and the j-th flexibility sink, , respectively represent the lacking and surplus flow rates, which have different frequencies; represents the flow rate from the i-th flexibility source to the j-th flexibility sink. represents the flow rate from the to-be-added new resource to the j-th flexibility sink; represents the flow rate from the i-th flexibility source to the surplus sink.

[0046] The source-sink combination curve and the matching method steps are as follows:

[0047] Step 3.1: According to the decomposition result of the flexibility demand power curve, select the typical frequency segmentation points, use the horizontal line segment length to represent the amplitude, and the position of the horizontal line segment on the vertical axis represents the frequency, and draw the sink combination curve;

[0048] Step 3.2: According to the adjustment capabilities of different flexibility resources, use the horizontal line segment length to represent the maximum adjustment amplitude, and the position of the horizontal line segment on the vertical axis represents the maximum adjustment frequency;

[0049] Step 3.3: Horizontally translate the source composite curve until the entire curve is exactly and completely above the well composite curve. The moving distance represents the minimum amplitude of the resources to be supplemented, and its minimum response frequency should be greater than or equal to the highest point of the well composite curve.

[0050] Before planning, there is a shortage of flexible resources. Horizontally translate the source composite curve until it is exactly and completely above the well composite curve, indicating that all flexible demands are met. At this time, the critical point representing that the source composite curve has completely covered the well composite curve is the pinch point. The distance that the source composite curve is translated represents the shortage amount of the most flexible resources with the strongest adjustment ability, and the distance difference between the two ends of the curves after translation represents the redundancy amount of the least flexible resources with the weakest adjustment ability. The electrical pinch point when flexible resources are sufficient is as Figure 3a , and the pinch point diagram obtained through electrical pinch point analysis is as Figure 3b shown.

[0051] Specifically, the said Step 4 includes:

[0052] The pinch point indicates the frequency band where flexible resources are the scarcest. Therefore, considering the above constraints, perform operation simulation in this frequency band to verify that flexible resources meet the requirements. The model for operation simulation is as follows:

[0053] (9)

[0054] Wherein, is the time scale of operation simulation, obtained according to the pinch point position ; E represents the total power generation of the power source; T represents the operation simulation period. is the load power at time t, , are the power generation powers of the new energy unit and the thermal power unit at time t respectively.

[0055] The system reference historical data is shown in Table 1.

[0056] Table 1 Historical data of power source and energy storage installed capacity

[0057]

[0058] The analysis results of flexible demands are as Figure 4a , Figure 4b shown, wherein, Figure 4a is the IMF component, Figure 4b is the spectrogram. The typical fluctuation frequencies are all concentrated in three frequency bands, which are 0~0.15 10 -3 Hz, 0.4 10 -3 ~1.2 10 -3 Hz, 1.5 10 -3 ~2.5 10 -3 Hz。

[0059] The parameters used in the flexibility supply - demand balance analysis of this embodiment are shown in Table 2, and the results of the electrical pinch - point analysis are as Figure 5 shown,

[0060] Table 2 Planning parameters of power supply and energy storage installed capacity

[0061]

[0062] The pinch - point position is at 0.505 10 -3 Hz. The downward shift of the pinch - point indicates that the high - frequency band with insufficient flexibility resources increases, and the existing flexibility resources are insufficient. More flexibility resources need to be supplemented to meet the high - frequency regulation demand. As the proportion of new energy increases, the amplitude of the high - frequency component increases significantly, and the deficit of the high - frequency regulation capacity continues to increase. According to the regulation ability of resources, the response objects from high - frequency to low - frequency components respectively correspond to battery energy storage, pumped - storage energy storage, hydropower, and thermal power units. The results of the electrical pinch - point analysis and calculation are shown in Table 3.

[0063] Table 3 Results of electrical pinch - point analysis and calculation

[0064]

[0065] Based on the electrical pinch - point position and the results of the electrical pinch - point analysis and calculation, a running simulation of flexibility supply - demand matching is carried out, and the results are as Figure 6a , Figure 6b , Figure 6c shown. Among them, Figure 6a is power balance, Figure 6b is battery energy storage, Figure 6c is pumped - storage energy storage. This shows that the installed capacity planned according to the electrical pinch - point can meet the new - energy consumption and flexibility regulation demand.

[0066] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, the steps of the above - mentioned method for electrical pinch - point analysis of flexibility supply - demand balance are implemented.

[0067] The present invention also provides a non - transitory computer - readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the above - mentioned method for electrical pinch - point analysis of flexibility supply - demand balance are implemented.

[0068] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can 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.) that contain computer-usable program code. The solutions in the embodiments of the present invention can be implemented in various computer languages. For example, object-oriented programming languages such as Java and interpreted scripting languages such as JavaScript, etc.

[0069] The present invention is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to embodiments of the present invention. It should be understood that each flow and / or block in the flowchart and / or block diagram, as well as the combination of flows 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 the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices generate a device for implementing the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0070] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing devices to work in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including an instruction device, and the instruction device implements the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0071] These computer program instructions can also be loaded onto a computer or other programmable data processing devices, such that a series of operation steps are executed on the computer or other programmable devices to generate a computer-implemented process, and thus the instructions executed on the computer or other programmable devices provide steps for implementing the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0072] Although the preferred embodiments of the present invention have been described, those skilled in the art can make additional changes and modifications to these embodiments once they know the basic creative concepts. Therefore, the appended claims are intended to be construed as including the preferred embodiments and all changes and modifications falling within the scope of the present invention.

[0073] Obviously, those skilled in the art can make various modifications and variations 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 equivalent technologies, the present invention also intends to include these modifications and variations.

Claims

1. A flexible supply and demand balance electric pinch point analysis method, characterized in that: The steps include: Step 1: Decompose the net load power signal using the continuous variational mode decomposition method, combine the optimization algorithm, select the fitness function for iterative optimization, and realize flexibility demand analysis; Step 2: Model the regulation capacity of different types of flexibility resources and calculate the relevant parameters that characterize the flexibility regulation capacity, including power supply capacity π, in MW, power ramp rate capacity ρ, in MW / min, energy supply capacity , in MWh, ramp duration δ, in min; Step 3: Establish source and sink combination curves, use graphical methods to match, determine the electrical pinch point, that is, the bottleneck of flexibility supply and demand matching or the frequency band where flexibility resources are most scarce, and determine the response frequency band and minimum capacity requirements of various types of flexibility resources; Step 4: Based on the electrical pinch point analysis results, perform a timing operation simulation at the time scale specified by the electrical pinch point to verify that the planning results meet the flexibility requirements.

2. The flexible supply and demand balance electrical pinch point analysis method according to claim 1 is characterized in that: In step 1, SVMD combined with RBMO is used to decompose the net load sequence, and the permutation entropy is used as the optimized fitness function, including: Step 1.1: Initialize the population of the RBMO algorithm, set the number of iterations and population size of the RBMO, and set the parameter optimization range of the SVMD algorithm; Step 1.2: Decompose the signal using SVMD and calculate the permutation entropy of each IMF component, taking the minimum permutation entropy as the fitness function; Step 1.3: Determine whether the optimization reaches the termination condition of the algorithm. If so, proceed to the next step; if not, update the population position and return to step 1.2; Step 1.4: Save the optimal SVMD parameter combination and substitute it into the SVMD algorithm; Step 1.5: Decompose the signal using the RBMO-SVMD method to obtain the optimal IMF component; Among them, SVMD stands for variational mode decomposition, RBMO stands for red bird blue magpie optimization algorithm, and IMF stands for intrinsic mode function.

3. A flexible supply and demand balance electrical pinch point analysis method according to claim 2, characterized in that: In step 1.5, the amplitude and frequency matrix of the "source" is obtained after decomposition, and its expression is shown in formula (1)-formula (2): （1） （2） in, represents the signal decomposition transformation, is the net load sequence, L1~L N is the decomposed subsequence; represents the Fourier transform, , is the amplitude and frequency matrix obtained after decomposing the net load subsequence, N is the total number of subsequences, and i is the subsequence number.

4. A flexible supply and demand balance electrical pinch point analysis method according to claim 3, characterized in that: In step 2, the flexibility balancing resources include conventional power sources, energy storage equipment and controllable loads. Conventional power sources mainly include gas units with adjustment capabilities and thermal power units that have been transformed with flexibility. The response cycle of thermal power units is limited by steam pressure, mechanical loss of steam turbines, thermal fatigue of furnace tubes and climbing ability. The flexibility adjustment ability of the equipment is poor, and the response cycle is usually at the hour level. In addition, some rotating reserves are reserved to cope with the uncertainty of renewable energy. The response output model of the gas unit is shown in formula (3): （3） in, represents the output of the generator set at time t, , Indicates the unit's up and down climbing power. is the time scale for power regulation; The output model of energy storage equipment is shown in formula (4): （4） in, , It represents the charging and discharging power of the energy storage at time t, , It is the energy storage charging and discharging mark. , is the charge and discharge efficiency, is the energy storage state at time t; , The response rate of energy storage charging and discharging; is the self-discharge coefficient; A unified expression form is used to characterize the flexibility resources. According to the output characteristics of different resources, the amplitude and frequency matrix representing the "source" is obtained, as shown in formula (5): （5） in, , , They are power ramp rate, power capacity, and energy supply capacity, respectively. , are the amplitude and frequency matrices of flexibility resources, respectively, Represents the mapping relationship between the amplitude-frequency matrix and the characteristic parameters.

5. A flexible supply and demand balance electrical pinch point analysis method according to claim 4, characterized in that: In step 3, the sources and sinks are sorted according to their input / output quality indicators, as shown in formula (6). In addition, the balance between the flow and the quality between the sources and sinks must be ensured, as shown in formulas (7)-(8): （6） （7） （8） in, is the response frequency of the ith flexibility source, is the fluctuation frequency of the jth flexibility well; is the number of sources, is the number of wells; , denote the flow rates of the i-th flexibility source and the j-th flexibility sink, respectively, , They represent the deficit and surplus flows respectively, and they have different frequencies; represents the flow from the i-th flexibility source to the j-th flexibility sink, represents the flow from the resource to be added to the jth flexibility sink; represents the flow from the i-th flexibility source to the surplus sink.

6. A flexible supply and demand balance electrical pinch point analysis method according to claim 5, characterized in that In step 3, the source and sink combination curve and matching method include: Step 3.1: According to the decomposition result of the flexibility demand power curve, select typical frequency segmentation points, use the length of the horizontal line segment to represent the amplitude, and the position of the horizontal line segment on the vertical axis to represent the frequency, and draw the well combination curve; Step 3.2: According to the adjustment capabilities of different flexibility resources, the length of the horizontal line segment represents the maximum adjustment amplitude, and the position of the horizontal line segment on the vertical axis represents the maximum adjustment frequency; Step 3.3: Shift the source composite curve horizontally until the entire curve is completely above the sink composite curve. The shift distance represents the minimum amplitude of the resource to be replenished, and its minimum response frequency must be greater than or equal to the highest point of the sink composite curve.

7. A flexible supply and demand balance electrical pinch point analysis method according to claim 6, characterized in that: In step 3, there is insufficient flexibility resources before planning, and the source composite curve is translated laterally until it is completely located above the sink composite curve, indicating that all flexibility requirements are met; at this time, the critical point that represents that the source composite curve has completely covered the sink composite curve is the pinch point; the distance of the source composite curve translation represents the shortage of flexibility resources with the strongest adjustment capability, and the distance between the ends of the two curves after the translation represents the redundancy of flexibility resources with the weakest adjustment capability.

8. A flexible supply-demand balance electrical pinch point analysis method according to claim 6, characterized in that: In step 4, the pinch point indicates the frequency band where the flexibility resources are the most scarce. Considering the balance constraint between the flow and the quality between the source and the sink, the operation simulation is performed in this frequency band to verify that the flexibility resources meet the demand. The operation simulation model is as follows: （9） in, The time scale for running the simulation, based on the location of the pinch point E represents the total power generation of the power source; T represents the operation simulation period, is the load power at time t, , are the power generation capacities of the new energy units and thermal power units at time t respectively.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the steps of a flexible supply and demand balance electrical pinch point analysis method as described in any one of claims 1 to 8 are implemented.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of a flexible supply and demand balance electrical pinch point analysis method as described in any one of claims 1 to 8 are implemented.

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