A method and device for comprehensive configuration of distributed phase regulators and new energy power restrictions

Abstract

The present invention discloses a method and device for integrated configuration of distributed phase-shifting systems and renewable energy power curtailment. The method includes: conducting a production simulation based on a large renewable energy base plan, determining the production simulation results, and formulating multiple normal operating modes and multiple fault operating modes; screening effective and invalid operating modes from the multiple normal operating modes based on a pre-set probability threshold; conducting simulation analysis on the multiple normal operating modes to determine a distributed phase-shifting system solution and the number of distributed phase-shifting systems for each normal operating mode; summarizing the multiple fault operating modes and invalid operating modes to construct a to-be-verified operating mode for simulation verification, and obtaining the renewable energy output reduction level for each to-be-verified operating mode; and calculating the comprehensive annual power curtailment based on the transient power curtailment constraint and the annual renewable energy power curtailment determined by the production simulation results, to determine whether the distributed phase-shifting system solution for the effective operating mode is reasonable.

Description

Technical Field

[0001] The present invention relates to the technical field of renewable energy power generation planning, and more specifically, to a method and device for integrated configuration of distributed phase regulators and renewable energy power restrictions. Background Art

[0002] Currently, in the planning of large-scale new energy bases, calculating new energy consumption levels and power limits through production simulations, and configuring distributed phase-shifting devices to mitigate transient overvoltages through simulation analysis, are conducted independently. The power limits calculated using conventional production simulations only consider steady-state constraints, ignoring transient overvoltages and short-circuit ratio constraints. Furthermore, the methods and schemes for configuring distributed phase-shifting devices are disconnected from production simulations and fail to provide accurate information on the probability and amount of power limits under certain extreme operating conditions. Conducting both independently will not provide scientific and comprehensive guidance; simply superimposing the two will result in overly stringent results, inadvertently increasing power limits and hindering the development and consumption of new energy. Summary of the Invention

[0003] In view of the deficiencies in the prior art, the present invention provides a method and device for comprehensive configuration of distributed phase regulators and renewable energy power restrictions.

[0004] According to one aspect of the present invention, a method for integrated configuration of distributed phase regulators and renewable energy power restrictions is provided, comprising:

[0005] Conduct production simulations based on the large-scale new energy base planning, determine the production simulation results, and based on the production simulation results, calculate the different new energy output levels and their corresponding probabilities at each moment, and develop multiple normal operation modes and multiple fault operation modes;

[0006] Based on a pre-set probability threshold, and according to the different renewable energy output levels and their corresponding probabilities at each moment, effective and invalid operating modes are screened out from multiple normal operating modes;

[0007] Conduct simulation analysis on multiple normal operating modes to determine the distributed phase-shifting scheme and number of distributed phase-shifting schemes for each normal operating mode, and select the scheme with the largest number of distributed phase-shifting schemes among the valid operating modes as the phase-shifting scheme to be verified;

[0008] Summarize multiple faulty and invalid operating modes to construct the operating mode to be verified. Based on the phase shifter configuration plan to be verified, the operating mode to be verified is simulated and verified to obtain the reduction level of new energy output for each operating mode to be verified.

[0009] Calculate the transient power limit based on the level of renewable energy output reduction and its corresponding probability, and calculate the comprehensive annual power limit based on the transient power limit and the annual renewable energy power limit determined by the production simulation results;

[0010] Based on the comprehensive annual power restrictions and planning thresholds, determine whether the distributed phase-shifting scheme with effective operation mode is reasonable.

[0011] Optionally, a production simulation is performed according to the new energy large base plan to determine the production simulation results, including:

[0012] Based on the installed capacity of thermal power, new energy, and energy storage, as well as the rated DC capacity, conventional production simulation methods are used to calculate production simulation results based on preset optimization objectives and constraints. The production simulation results include the hourly DC transmission curve throughout the year, the base power supply startup and output status, the energy storage charging and discharging status, the theoretical output of new energy at each moment, and the power limit of new energy at each moment.

[0013] Optionally, the optimization goal is to maximize the base's new energy consumption, and the constraints include system power balance, new energy output, thermal power output, energy storage charging and discharging power and electricity, and DC transmission power.

[0014] Optionally, based on the production simulation results, statistics are collected on different renewable energy output levels and their corresponding probabilities at each moment, and multiple normal operation modes and multiple fault operation modes are formulated, including:

[0015] Based on the theoretical output of renewable energy at each moment and the power limit of renewable energy at each moment, calculate the actual output of renewable energy at each moment after power abandonment;

[0016] Count the total number of hours corresponding to H different renewable energy output levels in the actual renewable energy output at each moment, and determine the different renewable energy output levels and their corresponding probabilities at each moment;

[0017] Based on the DC transmission curve, base power supply startup and output conditions, energy storage charging and discharging conditions, and H different new energy output levels, multiple normal operation modes and multiple fault operation modes are formulated.

[0018] Optionally, based on a pre-set probability threshold, according to different renewable energy output levels at each moment and their corresponding probabilities, effective and invalid operating modes are screened out from multiple normal operating modes, including:

[0019] Based on the different new energy output levels and their corresponding probabilities at each moment, the normal operation mode with the new energy output probability higher than the probability threshold is selected as the effective operation mode;

[0020] Normal operating modes in which the probability of new energy output is lower than the probability threshold are screened as invalid operating modes.

[0021] Optionally, simulation analysis is performed on multiple normal operating modes to determine the distributed phase regulator scheme and the number of distributed phase regulators for each operating mode, including:

[0022] Build simulation data based on the base access system plan, DC system plan, and multiple normal operating modes;

[0023] Conduct simulation analysis based on simulation data to obtain the transient overvoltage and short-circuit ratio levels of new energy sources;

[0024] Based on the transient overvoltage and short-circuit ratio levels, distributed phase regulators are configured, and the distributed phase regulator schemes and the number of distributed phase regulators for multiple normal operating modes are determined.

[0025] Optionally, based on the phase shifter configuration scheme to be verified, the operation mode to be verified is simulated and verified to obtain the reduction level of renewable energy output for each operation mode to be verified, including:

[0026] For the operating mode to be verified, based on the phase-shifting configuration plan to be verified, by gradually reducing the output of renewable energy, simulation and analysis of the transient overvoltage and short-circuit ratio levels of renewable energy are carried out to ensure that the transient overvoltage and short-circuit ratio levels of renewable energy in the operating mode to be verified meet the standards, and the reduction level of renewable energy output is recorded.

[0027] Optionally, the transient constraint power limit is calculated based on the renewable energy output reduction level and its corresponding probability, including:

[0028] Determine the new energy output reduction level P according to the different new energy output levels at each moment and their corresponding probabilities 新m The corresponding probability of new energy output reduction level τ 新m ;

[0029] According to the reduction level of new energy output and the probability of reduction level of new energy output, the transient constraint power limit S is calculated. 限2 , where S 限2 =Σ m [(P 新m -P 新降m )×τ 新m ×8760 hours], where m=1,2,…,N+MK, N is the number of faulty operating modes; M is the number of normal operating modes; K is the number of effective operating modes; P 新m Make practical contributions to new energy every moment.

[0030] Optionally, based on the transient constraint power limit and the annual renewable energy power limit determined by the production simulation results, a comprehensive annual power limit is calculated, including:

[0031] The annual renewable energy power limit S is obtained by adding up the actual output of renewable energy at each moment in the production simulation results. 限1 ;

[0032] According to the transient constraint power limit S 限2 And the annual new energy power limit S 限1 , calculate the annual comprehensive power limit S限 , where S 限 =S 限1 +S 限2 .

[0033] Optionally, based on the comprehensive annual power restrictions and planned thresholds, determine whether the distributed phase-converter scheme with an effective operation mode is reasonable, including:

[0034] If the overall annual power restriction does not exceed the planned threshold, the distributed phase-shifting scheme is considered reasonable;

[0035] When the overall annual power restriction exceeds the planned threshold, the distributed phase-shifting scheme is judged to be unreasonable, and the DC transmission curve, base power supply startup and output conditions, and energy storage charging and discharging conditions are adjusted to re-perform production simulation calculations and subsequent steps.

[0036] According to another aspect of the present invention, a device for integrated configuration of distributed phase regulators and renewable energy power restrictions is provided, comprising:

[0037] The first determination module is used to perform production simulation according to the new energy base plan, determine the production simulation results, and based on the production simulation results, calculate the different new energy output levels and their corresponding probabilities at each moment, and formulate multiple normal operation modes and multiple fault operation modes;

[0038] A screening module is used to screen out valid and invalid operating modes from multiple normal operating modes based on a pre-set probability threshold and the different renewable energy output levels and their corresponding probabilities at each moment;

[0039] An analysis module is used to simulate and analyze multiple normal operating modes, determine the distributed phase condenser scheme and the number of distributed phase condensers for each normal operating mode, and select the scheme with the largest number of distributed phase condensers among the valid operating modes as the phase condenser configuration scheme to be verified;

[0040] A construction module is used to summarize multiple faulty operating modes and invalid operating modes, construct an operating mode to be verified, and simulate and verify the operating mode to be verified based on the phase shifter configuration plan to be verified, so as to obtain the reduction level of new energy output for each operating mode to be verified;

[0041] A calculation module is used to calculate the transient constraint power limit based on the renewable energy output reduction level and its corresponding probability, and to calculate the comprehensive annual power limit based on the transient constraint power limit and the annual renewable energy power limit determined by the production simulation results;

[0042] The second determination module is used to determine whether the distributed phase-shifting scheme with an effective operation mode is reasonable based on the comprehensive annual power limit and the planning threshold.

[0043] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the storage medium stores a computer program, and the computer program is used to execute the method according to any one of the above aspects of the present invention.

[0044] According to another aspect of the present invention, an electronic device is provided, comprising: a processor; a memory for storing instructions executable by the processor; and the processor for reading the executable instructions from the memory and executing the instructions to implement the method described in any one of the above aspects of the present invention.

[0045] Therefore, this invention proposes a comprehensive configuration method for distributed phase-shifters and renewable energy curtailment. This method organically combines production simulation and emulation analysis to calculate and present an operating mode and distributed phase-shifter configuration plan that achieves the required total curtailment. This method ensures that the distributed phase-shifter solution can suppress transient overvoltages and increase the short-circuit ratio to within specified indicators under uncurtailed operation, while also ensuring that renewable energy output and annual curtailment meet policy requirements under curtailed operation. This method optimizes the number of distributed phase-shifters, improves renewable energy consumption, and enhances the project's economic viability. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] A more complete understanding of exemplary embodiments of the present invention may be obtained by referring to the following drawings:

[0047] Figure 1 It is a flow chart of a method for integrated configuration of distributed phase regulators and renewable energy power restrictions provided by an exemplary embodiment of the present invention;

[0048] Figure 2 This is another flow chart of a method for integrated configuration of distributed phase regulators and renewable energy power restrictions provided by an exemplary embodiment of the present invention;

[0049] Figure 3 It is a structural diagram of a distributed phase regulator and new energy power restriction integrated configuration device provided by an exemplary embodiment of the present invention;

[0050] Figure 4 This is a structure of an electronic device provided by an exemplary embodiment of the present invention. DETAILED DESCRIPTION

[0051] Below, the exemplary embodiments according to the present invention will be described in detail with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments of the present invention, and it should be understood that the present invention is not limited to the exemplary embodiments described herein.

[0052] It should be noted that the relative arrangement of components and steps, the numerical expressions and numerical values ​​set forth in these embodiments do not limit the scope of the present invention unless specifically stated otherwise.

[0053] Those skilled in the art will understand that the terms "first" and "second" in the embodiments of the present invention are only used to distinguish different steps, devices or modules, and neither represent any specific technical meaning nor indicate the necessary logical order between them.

[0054] It should also be understood that, in the embodiments of the present invention, “a plurality of” may refer to two or more than two, and “at least one” may refer to one, two or more than two.

[0055] It should also be understood that any component, data or structure mentioned in the embodiments of the present invention can generally be understood as one or more, unless explicitly limited or otherwise indicated in the context.

[0056] In addition, the term "and / or" in this invention merely describes an association relationship between related objects, indicating that three possible relationships exist. For example, A and / or B can represent: A exists alone, A and B exist simultaneously, and B exists alone. Furthermore, the character " / " in this invention generally indicates that the related objects are in an "or" relationship.

[0057] It should also be understood that the description of the various embodiments of the present invention focuses on the differences between the various embodiments, and the same or similar aspects thereof can be referenced with each other. For the sake of brevity, they will not be described one by one.

[0058] At the same time, it should be understood that for the convenience of description, the sizes of the various parts shown in the drawings are not drawn according to the actual proportional relationship.

[0059] The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the invention, its application, or uses.

[0060] Technologies, methods, and equipment known to ordinary technicians in the relevant art may not be discussed in detail, but where appropriate, the technologies, methods, and equipment should be considered part of the specification.

[0061] It should be noted that like reference numerals and letters refer to like items in the following figures, and therefore, once an item is defined in one figure, it need not be further discussed in subsequent figures.

[0062] Embodiments of the present invention can be applied to electronic devices such as terminal devices, computer systems, and servers, and can operate in conjunction with numerous other general-purpose or specialized computing system environments or configurations. Examples of well-known terminal devices, computing systems, environments, and / or configurations suitable for use with terminal devices, computer systems, servers, and other electronic devices include, but are not limited to, personal computer systems, server computer systems, thin clients, thick clients, handheld or laptop devices, microprocessor-based systems, set-top boxes, programmable consumer electronics, network personal computers, minicomputer systems, mainframe computer systems, and distributed cloud computing technology environments including any of the above.

[0063] Electronic devices such as terminal devices, computer systems, and servers can be described in the general context of computer system-executable instructions (such as program modules) executed by a computer system. Generally, program modules can include routines, programs, object programs, components, logic, data structures, etc., which perform specific tasks or implement specific abstract data types. Computer systems / servers can be implemented in a distributed cloud computing environment, where tasks are performed by remote processing devices linked via a communication network. In a distributed cloud computing environment, program modules can be located on local or remote computing system storage media, including storage devices.

[0064] Exemplary Methods

[0065] Figure 1 This is a flow chart of a method for integrated configuration of distributed phase regulators and renewable energy power restrictions provided by an exemplary embodiment of the present invention. This embodiment can be applied to electronic devices, such as Figure 1 As shown, the method 100 for integrated configuration of distributed phase regulators and new energy power restrictions includes the following steps:

[0066] Step 101: Perform a production simulation based on the new energy base plan, determine the production simulation results, and calculate the different new energy output levels and their corresponding probabilities at each moment based on the production simulation results, and formulate multiple normal operation modes and multiple fault operation modes.

[0067] Step 102 , based on a pre-set probability threshold, and according to different renewable energy output levels at each moment and their corresponding probabilities, screen out valid and invalid operating modes from multiple normal operating modes;

[0068] Step 103: Simulate and analyze multiple normal operating modes to determine the distributed phase condenser scheme and the number of distributed phase condensers for each normal operating mode, and select the scheme with the largest number of distributed phase condensers among the valid operating modes as the phase condenser configuration scheme to be verified.

[0069] Step 104: Summarize multiple faulty operating modes and invalid operating modes to construct an operating mode to be verified, and perform simulation verification on the operating mode to be verified based on the phase shifter configuration scheme to be verified, to obtain the reduction level of new energy output for each operating mode to be verified;

[0070] Step 105: Calculate the transient power limit based on the renewable energy output reduction level and its corresponding probability, and calculate the comprehensive annual power limit based on the transient power limit and the annual renewable energy power limit determined by the production simulation results.

[0071] Step 106: Determine whether the distributed phase-shifting scheme in the effective operation mode is reasonable based on the comprehensive annual power restriction and the planned threshold.

[0072] Specifically, to address the technical problems existing in the background technology, the present invention organically combines production simulation and simulation analysis in the planning of large-scale new energy bases, and proposes a method for the comprehensive configuration of distributed phase-shifting units and new energy power restrictions. Through quantitative measurement, an operating mode and a distributed phase-shifting unit configuration plan are provided to ensure that the total power restriction meets the standard. This method not only ensures that the distributed phase-shifting unit solution can suppress transient overvoltages and increase the short-circuit ratio within the specified indicators under the unlimited power restriction operating mode, but also ensures that the new energy power output and annual power restriction meet policy requirements under the power restriction operating mode, thereby optimizing the number of distributed phase-shifting units, improving the level of new energy consumption, and enhancing the economic efficiency of the project.

[0073] refer to Figure 2 As shown, the process steps are as follows:

[0074] Step 1: Data preparation, including the installed capacity of thermal power, renewable energy, and energy storage used in the planning of large-scale new energy bases, the base access system plan, the rated capacity of the base's DC transmission, and the DC system plan. The installed capacity of thermal power, renewable energy, and energy storage, as well as the rated DC capacity, are used for production simulation calculations in Step 2 below. The base access system plan and DC system plan are used to build simulation data for the base's DC transmission system during simulation analysis in Step 5 below.

[0075] Step 2: Based on the installed capacity and DC rated capacity of thermal power, renewable energy, and energy storage in Step 1, conventional production simulation methods are used. With the maximum consumption of renewable energy at the base as the optimization goal, and with system power balance, renewable energy output, thermal power output, energy storage charging and discharging power and electricity, and DC transmission power as constraints, the DC transmission curve, base power supply startup and output status, and energy storage charging and discharging status for each moment of the 8760 hours throughout the year are calculated.

[0076] Step 3: The production simulation results of step 2 also include the theoretical output P of new energy at each moment for 8760 hours throughout the year. 新h0, the energy consumption limit P of each hour calculated based on the target and constraints of step 2 新h限 , considering the actual output of renewable energy at each moment after power abandonment P 新h , that is, P 新h =P 新h0 -P 新h限 , where h = 1, 2, ..., 8760, and the annual new energy power limit S is obtained by adding the power limit of new energy at each moment. 限1 =Σ 8760 P 新h限 ; Since there may be the same P at multiple different times (one hour) 新h (This value is an integer), so through statistical merging, we can get a total of H different new energy output levels P 新i , add up the times when it appears to get the corresponding total number of hours t 新i , and then the corresponding probability τ can be calculated 新i =t 新i / 8760, where i=1,2,…,H, forming a table of new energy output and its probability.

[0077] Among them, the renewable energy output and its probability table are used to screen effective distributed phase-shifting schemes; secondly, to find the probability corresponding to the renewable energy output reduction level subject to transient constraints, and calculate the power limit under transient constraints.

[0078] Step 4: Based on the DC transmission curve, thermal power startup and output, energy storage charge and discharge status, and the H new energy output levels P in step 3 新i M normal operating modes and N fault operating modes were developed. The M normal operating modes include a full-power-on mode and a single-unit maintenance mode under high-renewable energy conditions, while the N fault operating modes include different numbers of thermal power plant failure-shutdown modes under high-renewable energy conditions. (Note: All operating modes are for high-renewable energy conditions because power curtailment only occurs under high-renewable energy conditions, and the risks of excessive transient overvoltage and short-circuit ratio of renewable energy sources necessitate the deployment of distributed phase-shifting units.) The M normal operating modes are used to study distributed phase-shifting unit configuration options; the N fault operating modes are used to verify transient overvoltage and short-circuit ratio levels under the distributed phase-shifting unit configuration options, and to calculate the probability and amount of power curtailment.

[0079] Step 5: Based on the base access system solution and DC system solution in step 1, and the M normal operating modes developed in step 4, build simulation data, and then simulate and analyze the transient overvoltage and short-circuit ratio levels of new energy.

[0080] Step 6: Based on the transient overvoltage and short-circuit ratio levels of renewable energy in step 5, the conventional method is used to configure the distributed phase regulator to obtain the F j Corresponding distributed phase-shifting scheme and quantity T j , where j=1,2,…,M.

[0081] Step 7: For the distributed phase-shifting scheme corresponding to each operating mode in step 6, set the probability threshold ε, combined with the new energy output level P summarized in step 3 新i and its corresponding probability τ 新i Screening is performed, that is, for the probability of new energy output τ 新i For the operation mode above the threshold ε, the distributed phase-shifting scheme is effective. For the probability of new energy output τ 新i For operating modes below the threshold ε, the distributed phase condenser scheme is invalid, which results in a total of K valid distributed phase condenser schemes (corresponding to K operating modes) and MK invalid distributed phase condenser schemes (corresponding to MK operating modes).

[0082] Step 8: Among the K valid distributed phase-shifting schemes obtained in step 7, select the scheme with the largest number of phase-shifting schemes, that is, take max(T j ), where j=1,2,…,K.

[0083] Step 9: Summarize the N fault operating modes determined in step 4 and the remaining MK operating modes in step 7 to obtain N+MK operating modes for new energy transient overvoltage and short-circuit ratio verification.

[0084] Step 10: Based on the phase-shifting scheme selected in step 8, for the operation mode to be verified summarized in step 9, simulate and analyze the transient overvoltage and short-circuit ratio levels of renewable energy. By gradually reducing the output of renewable energy, make the transient overvoltage and short-circuit ratio of renewable energy under the phase-shifting scheme meet the standards, and record the level P to which the output of renewable energy is reduced. 新降m , where m=1,2,…,N+MK.

[0085] Step 11: Combine the new energy output level P summarized in step 3 新i and its corresponding probability τ 新i , find the level P to which the new energy output drops 新降m The corresponding probability τ 新m .

[0086] Based on the principle that the probability of renewable energy output is greater than a set threshold ε, effective distributed phase-converter schemes and their corresponding operating modes are screened. This is determined to be effective because, for other high-power operating modes with a lower probability of renewable energy output, more phase-converters are required, but this is cost-effective. In other words, deploying a large number of phase-converters with high investment to suppress transient overvoltages from renewable energy sources with a low probability is highly uneconomical, making this solution undesirable. Instead, power curtailment can be implemented for high-power operating modes with a lower probability of renewable energy output, addressing the transient overvoltage issue while ensuring cost-effectiveness. Of course, these ineffective schemes and operating modes that have been screened out need to be combined with N fault operating modes and simulated to ensure that the renewable energy transient overvoltage and short-circuit ratio levels meet the standards. If they do not meet the standards, the renewable energy output is reduced until it meets the standards. The reduced renewable energy output level is recorded, allowing further calculation of the corresponding power curtailment.

[0087] Step 12: Calculate the power limit S under transient constraints 限2 =Σ m [(P 新m -P 新降m )×τ 新m ×8760 hours], where m=1,2,…,N+MK.

[0088] Step 13: Summarize the annual comprehensive power limit S 限 =S 限1 +S 限2 .

[0089] Step 14: Determine the annual comprehensive power limit S 限 Check whether the output exceeds the standard. If it does not exceed the threshold, the production simulation results and the distributed phase-shifting configuration plan are considered reasonable, and the plan and power limit are recorded. Otherwise, it is considered unreasonable, and the DC power transmission curve, power supply startup, and energy storage charging and discharging strategy need to be adjusted, and the calculation is returned to step 2.

[0090] Comprehensive power limit S 限 is the steady-state power limit S calculated by production simulation 限1 Compared with the transient constraint power limit S calculated by simulation analysis 限2 The superposition of S 限 =S 限1 +S 限2 , but after a production simulation and simulation analysis, the comprehensive power limit S 限 This is not optimal and is likely to exceed policy limits (e.g., a 10% curtailment rate). Therefore, it is often necessary to readjust the DC transmission curve, power supply startup, and energy storage charging and discharging strategies. After repeated iterations of the "production simulation - operation mode arrangement - simulation analysis - phase-shifting phase configuration - solution screening and further simulation verification - power curtailment calculation" process, an optimized distributed phase-shifting phase configuration solution and comprehensive power curtailment are ultimately achieved.

[0091] In one embodiment of the present invention, a large-scale new energy base project is used as an example. The project has a renewable energy capacity of 10.2 million kilowatts, including 7 million kilowatts of wind power, 3 million kilowatts of photovoltaic power, and 200,000 kilowatts of solar thermal power. The supporting thermal power generation capacity is 4 million kilowatts, and the supporting energy storage capacity is 1.2 million kilowatts per four hours. The base relies on a ±800 kV ultra-high voltage direct current (UHVDC) project for power transmission, with a rated transmission capacity of 8 million kilowatts.

[0092] Through the initial production simulation, the renewable energy power limit was 9.8%. The maximum DC transmission power, thermal power startup and output, and various renewable energy output levels and their corresponding probabilities are shown in Tables 1, 2, and 3, respectively.

[0093] Table 1 Maximum DC power transmission power in four seasons (unit: 10,000 kilowatts)

[0094]

[0095] Table 2 Annual thermal power maintenance / shutdown schedule (unit: unit)

[0096]

[0097] Table 3 Probability of total wind and solar power output throughout the year (unit: 10,000 kilowatts)

[0098]

[0099] According to the production simulation results, six normal operation modes and six fault operation modes are formulated as shown in Tables 4 and 5 below.

[0100] Table 4 6 normal operating modes (unit: 10,000 kilowatts)

[0101]

[0102] Table 5 Operation modes after 6 faults

[0103]

[0104] For the six normal operating modes, conventional methods are used to analyze the transient overvoltage and short-circuit ratio of new energy through simulation, and the phase-shifting configuration scheme for each operating mode is determined as shown in Table 6.

[0105] Table 6 Phase Condenser Configuration Scheme for Normal Operation (Unit: 10,000 kW)

[0106]

[0107] The probability threshold of renewable energy output is set at 1%, and the phase-shifting schemes corresponding to normal operating modes 1, 3, 5, and 6 are selected as valid schemes, while the phase-shifting schemes corresponding to operating modes 2 and 4 are selected as invalid schemes. The normal operating modes 2 and 4 are merged with the 6 fault operating modes for subsequent transient overvoltage and short-circuit ratio verification.

[0108] From the available phase-shifting schemes, the one with the largest number of phase-shifting units, 25, was selected. Based on this 25-phase-shifting scheme, transient overvoltage and short-circuit ratio verification was performed for the two and four normal operating modes and the six fault operating modes. The verification results showed that the output of renewable energy sources would need to be reduced to 6 million kilowatts for the two and four normal operating modes, and to 4.4 million kilowatts for the two and three fault operating modes, ensuring that the transient overvoltage and short-circuit ratio of renewable energy sources met the standards. Taking into account the corresponding seasons and renewable energy output levels of the operating modes, the probabilities were calculated and summarized, resulting in a total probability of 6%, and a power curtailment rate of 1.6%.

[0109] Therefore, the comprehensive power restriction rate is 9.8% + 1.6% = 11.4%, which exceeds the power restriction rate requirement of 10%. Therefore, it is necessary to adjust the strategy and re-perform production simulation and emulation calculations.

[0110] After multiple iterations and by fully leveraging the regulatory role of energy storage, the final phase-shifting configuration was determined to be 25 units. Actual power rationing could occur in the following three scenarios:

[0111] (1) In spring and autumn, the output of renewable energy exceeds 8.3 million kW, DC power transmission reaches 7.2 million kW, three thermal power plants are in operation with a minimum output of 900,000 kW, and energy storage is fully charged at 2 million kW. At this time, the probability of renewable energy output in spring and autumn is below 0.54% and below 0.5%, respectively.

[0112] (2) In summer, the output of renewable energy exceeds 8.8 million kW, DC power transmission reaches 8 million kW, four thermal power plants are in operation with a minimum output of 1.2 million kW, and energy storage is fully charged at 2 million kW. At this time, the probability of renewable energy output is 0%;

[0113] (3) In winter, the output of renewable energy exceeds 8 million kW, DC power transmission is 7.2 million kW, four thermal power plants are in operation with a minimum output of 1.2 million kW, and the energy storage is fully charged at 2 million kW. At this time, the probability of renewable energy output is 0%.

[0114] In summary, the cumulative probability of power curtailment across all seasons, converted to an annual total, is 0.26%, or: 0.54% / 4 + 0.5% / 4 = 0.26%. Furthermore, the curtailment reduces renewable energy output by approximately 300,000 kW. Therefore, the total annual curtailment is 300,000 kW x 8,760 hours x 0.26% = 6.83 million kWh, representing approximately 0.026% of the base's renewable energy generation (approximately 26.3 billion kWh). The overall curtailment rate is 9.8% + 0.026% = 9.83%, meeting the curtailment rate requirement.

[0115] Therefore, this invention proposes a comprehensive configuration method for distributed phase-shifters and renewable energy curtailment. This method organically combines production simulation and emulation analysis to calculate and present an operating mode and distributed phase-shifter configuration plan that achieves the required total curtailment. This method ensures that the distributed phase-shifter solution can suppress transient overvoltages and increase the short-circuit ratio to within specified indicators under uncurtailed operation, while also ensuring that renewable energy output and annual curtailment meet policy requirements under curtailed operation. This method optimizes the number of distributed phase-shifters, improves renewable energy consumption, and enhances the project's economic viability.

[0116] Exemplary devices

[0117] Figure 3 This is a schematic diagram of the structure of a distributed phase regulator and new energy power restriction integrated configuration device provided by an exemplary embodiment of the present invention. Figure 3 As shown, the apparatus 300 includes:

[0118] The first determination module 310 is configured to perform a production simulation based on the large-scale new energy base planning, determine the production simulation results, and, based on the production simulation results, calculate different new energy output levels at each moment and their corresponding probabilities, and formulate multiple normal operation modes and multiple fault operation modes;

[0119] A screening module 320 is configured to screen out valid and invalid operating modes from a plurality of normal operating modes based on a pre-set probability threshold and according to different renewable energy output levels and their corresponding probabilities at each moment;

[0120] Analysis module 330 is used to simulate and analyze multiple normal operating modes, determine the distributed phase condenser scheme and the number of distributed phase condensers for each normal operating mode, and select the scheme with the largest number of distributed phase condensers among the valid operating modes as the phase condenser configuration scheme to be verified;

[0121] A construction module 340 is configured to aggregate multiple faulty operating modes and invalid operating modes, construct an operating mode to be verified, and perform simulation verification on the operating mode to be verified based on the phase shifter configuration scheme to be verified, thereby obtaining a reduction level of renewable energy output for each operating mode to be verified;

[0122] Calculation module 350, configured to calculate the transient constrained power limit based on the renewable energy output reduction level and its corresponding probability, and calculate the comprehensive annual power limit based on the transient constrained power limit and the annual renewable energy power limit determined by the production simulation results;

[0123] The second determination module 360 ​​is used to determine whether the distributed phase-shifting scheme in the effective operation mode is reasonable based on the comprehensive annual power limit and the planned threshold.

[0124] Optionally, the first determining module 310 performs a production simulation according to the new energy large base planning to determine a production simulation result, including:

[0125] Based on the installed capacity of thermal power, new energy, and energy storage, as well as the rated DC capacity, conventional production simulation methods are used to calculate production simulation results based on preset optimization objectives and constraints. The production simulation results include the hourly DC transmission curve throughout the year, the base power supply startup and output status, the energy storage charging and discharging status, the theoretical output of new energy at each moment, and the power limit of new energy at each moment.

[0126] Optionally, the optimization goal is to maximize the base's new energy consumption, and the constraints include system power balance, new energy output, thermal power output, energy storage charging and discharging power and electricity, and DC transmission power.

[0127] Optionally, the first determination module 310 calculates different new energy output levels and their corresponding probabilities at each moment based on the production simulation results, and formulates multiple normal operation modes and multiple fault operation modes, including:

[0128] Based on the theoretical output of renewable energy at each moment and the power limit of renewable energy at each moment, calculate the actual output of renewable energy at each moment after power abandonment;

[0129] Count the total number of hours corresponding to H different renewable energy output levels in the actual renewable energy output at each moment, and determine the different renewable energy output levels and their corresponding probabilities at each moment;

[0130] Based on the DC transmission curve, base power supply startup and output conditions, energy storage charging and discharging conditions, and H different new energy output levels, multiple normal operation modes and multiple fault operation modes are formulated.

[0131] Optionally, the screening module 320 screens out valid and invalid operating modes from a plurality of normal operating modes based on a preset probability threshold and according to different new energy output levels at each moment and their corresponding probabilities, including:

[0132] Based on the different new energy output levels and their corresponding probabilities at each moment, the normal operation mode with the new energy output probability higher than the probability threshold is selected as the effective operation mode;

[0133] Normal operating modes in which the probability of new energy output is lower than the probability threshold are screened as invalid operating modes.

[0134] Optionally, the analysis module 330 performs simulation analysis on multiple normal operating modes to determine a distributed phase regulator scheme and the number of distributed phase regulators for each operating mode, including:

[0135] Build simulation data based on the base access system plan, DC system plan, and multiple normal operating modes;

[0136] Conduct simulation analysis based on simulation data to obtain the transient overvoltage and short-circuit ratio levels of new energy sources;

[0137] Based on the transient overvoltage and short-circuit ratio levels, distributed phase regulators are configured, and the distributed phase regulator schemes and the number of distributed phase regulators for multiple normal operating modes are determined.

[0138] Optionally, in the construction module 340 , based on the phase shifter configuration scheme to be verified, the operation mode to be verified is simulated and verified to obtain the new energy output reduction level of each operation mode to be verified, including:

[0139] For the operating mode to be verified, based on the phase-shifting configuration plan to be verified, by gradually reducing the output of renewable energy, simulation and analysis of the transient overvoltage and short-circuit ratio levels of renewable energy are carried out to ensure that the transient overvoltage and short-circuit ratio levels of renewable energy in the operating mode to be verified meet the standards, and the reduction level of renewable energy output is recorded.

[0140] Optionally, the calculation module 350 calculates the transient constrained power limit according to the new energy output reduction level and its corresponding probability, including:

[0141] Determine the new energy output reduction level P according to the different new energy output levels at each moment and their corresponding probabilities 新m The corresponding probability of new energy output reduction level τ 新m ;

[0142] According to the reduction level of new energy output and the probability of reduction level of new energy output, the transient constraint power limit S is calculated. 限2 , where S 限2 =Σ m [(P 新m -P 新降m )×τ 新m ×8760 hours], where m=1,2,…,N+MK, N is the number of faulty operating modes; M is the number of normal operating modes; K is the number of effective operating modes; P 新m Make practical contributions to new energy every moment.

[0143] Optionally, the calculation module 350 calculates the comprehensive annual power limit based on the transient power limit constraint and the annual new energy power limit determined by the production simulation result, including:

[0144] The annual renewable energy power limit S is obtained by adding up the actual output of renewable energy at each moment in the production simulation results. 限1 ;

[0145] According to the transient constraint power limit S 限2 And the annual new energy power limit S 限1 , calculate the annual comprehensive power limit S 限 , where S 限 =S 限1 +S 限2 .

[0146] Optionally, the second determining module 360 ​​includes:

[0147] If the overall annual power restriction does not exceed the planned threshold, the distributed phase-shifting scheme is considered reasonable;

[0148] When the overall annual power restriction exceeds the planned threshold, the distributed phase-shifting scheme is judged to be unreasonable, and the DC transmission curve, base power supply startup and output conditions, and energy storage charging and discharging conditions are adjusted to re-perform production simulation calculations and subsequent steps.

[0149] Exemplary electronic devices

[0150] Figure 4 This is the structure of an electronic device provided by an exemplary embodiment of the present invention. Figure 4 As shown, the electronic device 40 includes one or more processors 41 and a memory 42 .

[0151] The processor 41 may be a central processing unit (CPU) or other forms of processing units having data processing capabilities and / or instruction execution capabilities, and may control other components in the electronic device to perform desired functions.

[0152] The memory 42 may include one or more computer program products, which may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory may include, for example, random access memory (RAM) and / or cache memory. The non-volatile memory may include, for example, read-only memory (ROM), a hard disk, flash memory, etc. One or more computer program instructions may be stored on the computer-readable storage medium, and the processor 41 may execute the program instructions to implement the software program methods and / or other desired functions of the various embodiments of the present invention described above. In one example, the electronic device may further include: an input device 43 and an output device 44, these components being interconnected via a bus system and / or other form of connection mechanism (not shown).

[0153] In addition, the input device 43 may also include, for example, a keyboard, a mouse, and the like.

[0154] The output device 44 can output various information to the outside. The output device 44 can include, for example, a display, a speaker, a printer, a communication network and a remote output device connected thereto.

[0155] Of course, to simplify, Figure 4 Only some of the components related to the present invention in the electronic device are shown, and components such as a bus, an input / output interface, etc. are omitted. In addition, the electronic device may further include any other appropriate components according to specific application conditions.

[0156] Exemplary computer program products and computer-readable storage media

[0157] In addition to the above-mentioned methods and devices, an embodiment of the present invention may also be a computer program product, which includes computer program instructions, which, when executed by a processor, enable the processor to perform the steps of the method according to various embodiments of the present invention described in the above "Exemplary Method" section of this specification.

[0158] The computer program product may be written in any combination of one or more programming languages ​​to implement the operations of embodiments of the present invention, including object-oriented programming languages ​​such as Java, C++, and conventional procedural programming languages ​​such as C or similar programming languages. The program code may be executed entirely on the user's computing device, partially on the user's computing device, as a stand-alone software package, partially on the user's computing device and partially on a remote computing device, or entirely on a remote computing device or server.

[0159] In addition, an embodiment of the present invention may also be a computer-readable storage medium having computer program instructions stored thereon, which, when executed by a processor, enable the processor to execute the steps of the method according to various embodiments of the present invention described in the above "Exemplary Method" section of this specification.

[0160] The computer-readable storage medium may be any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium may include, for example, but is not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, system, or device, or any combination thereof. More specific examples (a non-exhaustive list) of readable storage media include: an electrical connection having one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof.

[0161] The basic principles of the present invention have been described above in conjunction with specific embodiments. However, it should be noted that the advantages, strengths, and effects mentioned in the present invention are merely illustrative and non-limiting, and should not be construed as necessarily possessed by each embodiment of the present invention. Furthermore, the specific details disclosed above are provided for illustrative purposes and to facilitate understanding, and are not intended to be limiting. These details do not necessarily limit the present invention to being implemented using these specific details.

[0162] Each embodiment in this specification is described in a progressive manner, with each embodiment focusing on its differences from the other embodiments. References to the same or similar parts between the various embodiments are sufficient. For system embodiments, since they largely correspond to method embodiments, their description is relatively simple. For relevant parts, references to the description of the method embodiments are sufficient.

[0163] The block diagrams of the devices, systems, equipment, and systems involved in the present invention are merely illustrative examples and are not intended to require or imply that they must be connected, arranged, or configured in the manner shown in the block diagrams. As will be appreciated by those skilled in the art, these devices, systems, equipment, and systems can be connected, arranged, or configured in any manner. Words such as "including," "comprising," "having," and the like are open-ended words, meaning "including but not limited to," and can be used interchangeably therewith. The words "or" and "and" used herein refer to the words "and / or" and can be used interchangeably therewith, unless the context clearly indicates otherwise. The word "such as" used herein refers to the phrase "such as but not limited to," and can be used interchangeably therewith.

[0164] The method and system of the present invention may be implemented in many ways. For example, the method and system of the present invention may be implemented by software, hardware, firmware, or any combination of software, hardware, and firmware. The above sequence of steps for the method is for illustration only, and the steps of the method of the present invention are not limited to the sequence specifically described above, unless otherwise specified. In addition, in some embodiments, the present invention may also be implemented as a program recorded in a recording medium, which includes machine-readable instructions for implementing the method according to the present invention. Thus, the present invention also covers recording media that store programs for executing the method according to the present invention.

[0165] It should also be noted that, in the system, device and method of the present invention, each component or each step can be decomposed and / or recombined. These decompositions and / or recombinations should be regarded as equivalent schemes of the present invention. The above description of the disclosed aspects is provided to enable any technician in this field to make or use the present invention. Various modifications to these aspects will be very obvious to those skilled in the art, and the general principles defined here can be applied to other aspects without departing from the scope of the present invention. Therefore, the present invention is not intended to be limited to the aspects shown here, but according to the widest scope consistent with the principles disclosed here and novel features.

[0166] The above description has been presented for purposes of illustration and description. Furthermore, this description is not intended to limit the embodiments of the present invention to the forms disclosed herein. Although a number of example aspects and embodiments have been discussed above, those skilled in the art will recognize certain variations, modifications, alterations, additions, and sub-combinations thereof.

Claims

1. A method for comprehensive configuration of distributed phase regulators and new energy power restrictions, characterized in that: include: Conduct production simulations based on the large-scale new energy base planning, determine the production simulation results, and based on the production simulation results, calculate the different new energy output levels and their corresponding probabilities at each moment, and develop multiple normal operation modes and multiple fault operation modes; Based on a pre-set probability threshold, and according to the different renewable energy output levels and their corresponding probabilities at each moment, effective and invalid operating modes are screened out from multiple normal operating modes; Conduct simulation analysis on multiple normal operating modes to determine the distributed phase-shifting scheme and number of distributed phase-shifting schemes for each normal operating mode, and select the scheme with the largest number of distributed phase-shifting schemes among the valid operating modes as the phase-shifting scheme to be verified; Summarize multiple faulty and invalid operating modes to construct the operating mode to be verified. Based on the phase shifter configuration plan to be verified, the operating mode to be verified is simulated and verified to obtain the reduction level of new energy output for each operating mode to be verified. Calculate the transient power limit based on the level of renewable energy output reduction and its corresponding probability, and calculate the comprehensive annual power limit based on the transient power limit and the annual renewable energy power limit determined by the production simulation results; Based on the comprehensive annual power restrictions and planning thresholds, determine whether the distributed phase-shifting scheme with effective operation mode is reasonable.

2. The method according to claim 1, characterized in that Conduct production simulation according to the new energy base planning and determine the production simulation results, including: Based on the installed scale of thermal power, new energy, and energy storage and the rated DC capacity, conventional production simulation methods are used to calculate the production simulation results based on preset optimization objectives and constraints. The production simulation results include the hourly DC power transmission curve throughout the year, the base power supply startup and output status, the energy storage charging and discharging status, the theoretical output of new energy at each moment, and the power limit of new energy at each moment.

3. The method according to claim 2, characterized in that The optimization goal is to maximize the base's new energy consumption, and the constraints include system power balance, new energy output, thermal power output, energy storage charging and discharging power and electricity, and DC transmission power.

4. The method according to claim 2, characterized in that According to the production simulation results, different renewable energy output levels and their corresponding probabilities at each moment are counted, and multiple normal operation modes and multiple fault operation modes are formulated, including: Calculate the actual output of the renewable energy at each moment after power abandonment based on the theoretical output of the renewable energy at each moment and the power limit of the renewable energy at each moment; Counting the total number of hours corresponding to H different new energy output levels in the actual output of the new energy at each moment, and determining the different new energy output levels at each moment and their corresponding probabilities; Based on the DC power transmission curve, the base power supply startup and output status, the energy storage charging and discharging status, and H different new energy output levels, multiple normal operating modes and multiple fault operating modes are formulated.

5. The method according to claim 1, characterized in that Based on a pre-set probability threshold, and according to different renewable energy output levels at each moment and their corresponding probabilities, effective and invalid operating modes are screened out from the plurality of normal operating modes, including: Based on different new energy output levels at each moment and their corresponding probabilities, selecting a normal operation mode in which the new energy output probability is higher than the probability threshold as the effective operation mode; A normal operating mode in which the probability of the new energy output is lower than the probability threshold is selected as the invalid operating mode.

6. The method according to claim 1, characterized in that Perform simulation analysis on the multiple normal operating modes to determine the distributed phase regulator scheme and the number of distributed phase regulators for each operating mode, including: Build simulation data based on the base access system plan, DC system plan, and multiple normal operating modes; Perform simulation analysis based on the simulation data to obtain the transient overvoltage and short-circuit ratio levels of new energy sources; Based on the transient overvoltage and the short-circuit ratio level, the distributed phase modulators are configured, and multiple distributed phase modulator schemes and the number of distributed phase modulators in normal operation modes are determined.

7. The method according to claim 6, characterized in that Based on the phase shifter configuration scheme to be verified, the operation mode to be verified is simulated and verified to obtain the reduction level of new energy output for each operation mode to be verified, including: For the operating mode to be verified, based on the phase-shifting configuration plan to be verified, by gradually reducing the output of new energy, simulation and analysis of the transient overvoltage and short-circuit ratio levels of new energy are carried out to make the transient overvoltage and short-circuit ratio levels of new energy in the operating mode to be verified meet the standards, and the reduction level of the new energy output is recorded.

8. The method according to claim 1, characterized in that Calculating the transient constraint power limit according to the new energy output reduction level and its corresponding probability, including: The new energy output reduction level P is determined according to the different new energy output levels at each moment and their corresponding probabilities. 新降m The corresponding probability of new energy output reduction level τ 新m ; According to the new energy output reduction level and the new energy output reduction level probability, the transient constraint power limit S is calculated. 限2 , where S 限2 =Σ m [(P 新m -P 新降m )×τ 新m ×8760 hours], where m=1,2,…,N+MK, N is the number of faulty operating modes; M is the number of normal operating modes; K is the number of effective operating modes; P 新m Make practical contributions to new energy every moment.

9. The method according to claim 4, characterized in that Calculate the comprehensive annual power limit based on the transient power limit constraint and the annual new energy power limit determined by the production simulation result, including: The annual new energy power limit S is obtained by adding the actual output of each moment of the new energy in the production simulation result. 限1 ; According to the transient constraint power limit S 限2 And the annual new energy power limit S 限1 , calculate the annual comprehensive power limit S 限 , where S 限 =S 限1 +S 限2 .

10. The method according to claim 1, characterized in that Based on the comprehensive annual power limit and the planned threshold, determine whether the distributed phase-shifting scheme of the effective operation mode is reasonable, including: When the comprehensive annual power limit does not exceed the planned threshold, determining that the distributed phase-shifting scheme is reasonable; When the comprehensive annual power limit exceeds the planned threshold, the distributed phase-shifting scheme is determined to be unreasonable, and the DC power transmission curve, base power supply startup and output conditions, and energy storage charging and discharging conditions are adjusted to re-perform production simulation calculations and subsequent steps.

11. A distributed phase regulator and new energy power restriction integrated configuration device, characterized in that: include: A first determination module is configured to perform a production simulation based on the large-scale new energy base planning, determine the production simulation results, and based on the production simulation results, calculate the different new energy output levels at each moment and their corresponding probabilities, and formulate multiple normal operation modes and multiple fault operation modes; a screening module, configured to screen out valid operating modes and invalid operating modes from the plurality of normal operating modes based on a preset probability threshold and according to different new energy output levels at each moment and their corresponding probabilities; an analysis module configured to perform simulation analysis on the plurality of normal operating modes, determine a distributed phase condenser scheme and the number of distributed phase condensers for each normal operating mode, and select the scheme with the largest number of distributed phase condensers among the valid operating modes as the phase condenser configuration scheme to be verified; a construction module, configured to summarize the multiple faulty operating modes and the invalid operating modes, construct an operating mode to be verified, and perform simulation verification on the operating mode to be verified based on the phase shifter configuration scheme to be verified, to obtain a reduction level of new energy output for each operating mode to be verified; a calculation module, configured to calculate a transient constrained power limit based on the renewable energy output reduction level and its corresponding probability, and calculate a comprehensive annual power limit based on the transient constrained power limit and the annual renewable energy power limit determined by the production simulation result; The second determination module is used to determine whether the distributed phase-shifting scheme of the effective operation mode is reasonable according to the comprehensive annual power limit and the planning threshold.

12. A computer-readable storage medium, characterized in that The storage medium stores a computer program, and the computer program is used to execute the method according to any one of claims 1 to 10.

13. An electronic device, characterized in that: The electronic device comprises: processor; a memory for storing instructions executable by the processor; The processor is configured to read the executable instructions from the memory and execute the instructions to implement the method according to any one of claims 1 to 10.

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