Modeling and analysis method and system for participation of temperature control load in frequency modulation support of new energy power system in consideration of communication time delay link, and medium

Abstract

The invention discloses a modeling and analysis method and system for participation of a temperature control load in frequency modulation support of a new energy power system in consideration of a communication time delay link, and a medium. The method comprises the following steps: constructing a frequency domain model of a temperature control load monomer based on thermodynamic characteristics of the temperature control load; constructing a rational function approximation model for a communication delay link of the temperature control load cluster by adopting a Pade approximation method, and converting the delay link into an analyzable transfer function form; designing a frequency response control strategy based on a PI controller to dynamically couple the system frequency and the temperature control load compressor frequency; and carrying out system integration on the frequency domain model, the rational function approximation model and a frequency response control strategy, and constructing a power system frequency response model considering the temperature control load cluster. According to the method, the quick response capability of the temperature control load is fully utilized, efficient frequency auxiliary service is provided for a high-proportion new energy power system, and meanwhile, the user comfort and the system stability are ensured.

Description

Technical Field

[0001] The present invention belongs to the field of electrical engineering, and more specifically, relates to a modeling and analysis method, system and medium for temperature-controlled loads participating in frequency modulation support of a new energy power system taking into account communication delay links. Background Art

[0002] With the global energy transition and the rapid development of renewable energy, the operation of power systems is undergoing profound changes. While the large-scale integration of renewable energy sources such as wind and solar has reduced reliance on traditional fossil fuels, it has also posed significant challenges to the frequency stability of power systems. Renewable energy generation is intermittent and fluctuating, making its output difficult to accurately predict and control, leading to increased frequency fluctuations in the power grid. Frequency is a core indicator of stable power system operation. Excessive frequency deviations can trigger protective measures on power grid equipment and even cause widespread power outages. Therefore, maintaining stable grid frequency is a critical task for the safe operation of power systems.

[0003] Traditional frequency regulation primarily relies on the frequency regulation capabilities of synchronous generators, including primary and secondary frequency regulation. Primary frequency regulation is achieved through generator speed regulators, with a response time typically ranging from a few seconds to tens of seconds; secondary frequency regulation is achieved through automatic generation control (AGC). However, with the increasing penetration of renewable energy, the regulation capabilities of traditional frequency regulation resources are gradually becoming insufficient. On the one hand, traditional frequency regulation resources such as thermal power units have a slow response speed and are unable to cope with the rapid frequency fluctuations associated with a high proportion of renewable energy access. On the other hand, traditional frequency regulation resources have limited regulation capacity and high frequency regulation costs, making it difficult to meet the frequency regulation needs of future power systems.

[0004] In this context, demand-side resources (DR) as a new type of frequency regulation resource have received widespread attention. Demand-side resources can quickly respond to grid frequency fluctuations by adjusting the electricity consumption behavior of power users, providing low-cost and efficient frequency auxiliary services to the grid. Among them, thermally controlled loads (TCLs) are an important part of demand-side resources. Thermally controlled loads include air conditioners, electric water heaters, refrigerators and other equipment, and their power consumption is closely related to temperature regulation. Because thermally controlled loads have thermal inertia, they can participate in grid frequency regulation by adjusting their operating status in a short time without affecting user comfort. Studies have shown that the aggregated regulation capacity of temperature-controlled load clusters can reach hundreds of megawatts or even higher, which can significantly improve the frequency stability of the power grid.

[0005] However, the application of temperature-controlled load clusters to grid frequency regulation still faces many technical challenges. First, the individual characteristics of temperature-controlled loads vary greatly, and their thermodynamic parameters (such as heat capacity, thermal resistance) and operating states (such as set temperature, current temperature) are different. How to accurately model and aggregate a large number of heterogeneous temperature-controlled loads is a difficult problem. Secondly, the regulation capability of temperature-controlled loads is limited by user comfort requirements. How to achieve a balance between frequency regulation and user comfort is another key issue. In addition, the communication delay effect of temperature-controlled loads cannot be ignored. Since temperature-controlled loads usually interact with control systems through communication networks, communication delays may cause lags in control instructions, thereby affecting the frequency regulation effect.

[0006] In response to the above-mentioned issues, scholars at home and abroad have conducted extensive research. In terms of temperature-controlled load modeling, existing studies mainly use methods such as state-space models and equivalent thermal parameter models to describe the dynamic characteristics of temperature-controlled loads. In terms of delay compensation, existing studies often use the Padé approximation or time-delay system theory to model and compensate for communication delays, but how to achieve efficient delay compensation in actual systems still requires further exploration. In the study of temperature-controlled loads participating in grid frequency regulation, how to accurately describe the dynamic response characteristics of temperature-controlled load clusters and their impact on system frequency remains a key issue. Existing studies usually equate temperature-controlled load clusters to virtual batteries or virtual generators to analyze their frequency regulation potential, but lack a detailed characterization of the output characteristics of temperature-controlled load clusters during transient and steady-state processes, as well as a quantitative analysis of the system frequency recovery process.

[0007] To solve the above problems, the present invention provides a modeling and analysis method, system and medium for temperature-controlled loads participating in the frequency regulation support of a new energy power system taking into account the communication delay link, constructs a power system frequency response model taking into account the temperature-controlled load cluster, and analyzes the rapid power response capability of the transient process and the active power output of the steady-state process when the temperature-controlled load cluster provides frequency regulation backup through a closed-loop transfer function, and provides a quantitative analysis basis for system frequency recovery under the influence of communication delay. Summary of the Invention

[0008] In response to the gaps in the existing technology in the field of frequency regulation of high-proportion renewable energy power systems, the present invention proposes a modeling and analysis method, system and medium for temperature-controlled loads participating in the frequency regulation support of renewable energy power systems, taking into account the communication delay link. The aim is to achieve efficient and stable power regulation of temperature-controlled load clusters and provide a new solution for grid frequency stability.

[0009] The present invention solves the above-mentioned technical problem with the following technical solution: a modeling and analysis method for temperature-controlled loads participating in frequency modulation support of a new energy power system taking into account communication delay, comprising:

[0010] S1. Construct a frequency domain model of the temperature control load based on the thermodynamic characteristics of the temperature control load;

[0011] S2. Use the Padé approximation method to build a rational function approximation model for the communication delay link of the temperature-controlled load cluster, and convert the delay link into an analyzable transfer function form;

[0012] S3. Design a frequency response control strategy based on PI controller to dynamically couple the system frequency and the temperature control load compressor frequency;

[0013] S4. Systematically integrate the frequency domain model, the rational function approximation model, and the frequency response control strategy to construct a power system frequency response model that takes into account the temperature-controlled load cluster.

[0014] Furthermore, the S1 includes:

[0015] S1.1. Based on the thermodynamic characteristics of the temperature control load, the frequency domain model of a single temperature control load is obtained:

[0016]

[0017] Among them, T in (s) and T out (s) is the indoor temperature and ambient temperature of each temperature-controlled load, C tcl and R tcl is the equivalent capacitance and resistance of the room, Q tcl is the cooling or heating capacity of the temperature control load where the air conditioner is located; sorting out to get:

[0018]

[0019] where τ tcl is the time constant of the temperature control load;

[0020] S1.2. The compressor frequency of the variable frequency air conditioner is introduced to describe the response characteristics of the temperature control load during the adjustment process. The relationship between the compressor frequency and the operating power and cooling capacity of the i-th temperature control load is:

[0021]

[0022] Among them, T P 、T Q is the time constant coefficient, k P 、k Q are active power and temperature control gains, μ P 、μ Q are active power and temperature control weights respectively, f tcl is the compressor frequency for temperature control load.

[0023] Furthermore, the S2 includes:

[0024] S2.1、In frequency domain analysis, e is often used-τs The link describes the delay of the communication link. Since the delay of the temperature control load compressor is a large delay link, a high-order rational function is used for approximation:

[0025]

[0026] in:

[0027]

[0028] Furthermore, the high-order rational function is approximated by a fifth-order rational function, that is, l=k=5.

[0029] Furthermore, the S3 includes:

[0030] S3.1. For temperature control loads, since the compressor frequency is affected by the system frequency and the indoor temperature difference, two PI controllers are used to model it:

[0031] Δf tcl (s)=(k PT +k IT / s)·ΔT(s)+(k PS +k IS / s)·Δf s (s)

[0032] Among them, k PT and k IT are the proportional and integral coefficients of the temperature difference controller, k PS and k IS are the proportional and integral coefficients of the frequency controller, Δf tcl The frequency increment of the temperature control load compressor, Δf s is the system frequency change value; ΔT is the temperature difference between the indoor temperature and the set value:

[0033] ΔT(s)=T in (s)-T set (s).

[0034] Furthermore, the S4 includes:

[0035] S4.1, combined with S1.1-S3.1, we get:

[0036]

[0037] From the above formula, we can know that the compressor frequency is related to the change of outdoor temperature, the change of indoor temperature and indoor set value, and the change of system frequency. Substituting the temperature control load power, we can get:

[0038]

[0039] Since the time scale of the temperature control load participating in the frequency modulation is relatively short, the outdoor temperature change and the set value remain unchanged, and the same compressor time constant is considered unchanged, so T Q =T P , so formula (2-71) is simplified to:

[0040]

[0041] The transfer function between the frequency and active output of each temperature-controlled load can be obtained:

[0042]

[0043] For the active power output of the temperature control load cluster:

[0044]

[0045] S4.2, for a secondary frequency regulation system, add a temperature control load cluster to perform Figure 1 For the frequency regulation support shown in the figure, in the power system frequency dynamic response model, the transfer function is:

[0046]

[0047] where ΔP m The active power output provided for the generator frequency regulation reserve consists of primary and secondary frequency regulation. By integrating the frequency domain model, delay link, and control law, the frequency regulation transfer function that takes into account the communication delay of the temperature-controlled load cluster can be obtained:

[0048]

[0049] in,

[0050]

[0051] G gen (s) is the generator model when the generator set is a reheat steam turbine, where T g 、T t 、T r is the time constant of the generator set, F HP is the reheat coefficient. R is the differential coefficient of the primary frequency modulation, and K is the gain of the integral link in the secondary frequency modulation.

[0052] A modeling and analysis system for temperature-controlled loads participating in frequency regulation support of a new energy power system taking into account communication delay links, comprising: a computer-readable storage medium and a processor;

[0053] The computer-readable storage medium is used to store executable instructions;

[0054] The processor is used to read the executable instructions stored in the computer-readable storage medium and execute the modeling and analysis method of the temperature-controlled load participating in the frequency regulation support of the new energy power system considering the communication delay link.

[0055] A non-transitory computer-readable storage medium stores a computer program, which, when executed by a processor, implements the modeling and analysis method for the participation of temperature-controlled loads in frequency regulation support of a new energy power system taking into account communication delay links.

[0056] The present invention makes full use of the rapid response capability of temperature-controlled loads, constructs a power system frequency response model taking into account temperature-controlled load clusters, analyzes the rapid power response capability of the transient process when the temperature-controlled load cluster provides frequency regulation standby, and the active power output of the steady-state process through a closed-loop transfer function, and provides a quantitative analysis basis for system frequency recovery under the influence of communication delay, providing efficient frequency auxiliary services for power systems with a high proportion of new energy. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] Figure 1 This is a frequency regulation framework diagram of a high-proportion new energy power system used in the present invention;

[0058] Figure 2 This is the system frequency change curve before and after adding the temperature control load frequency regulation reserve proposed by the present invention;

[0059] Figure 3 The output curves of the generator and the temperature-controlled load cluster before and after the temperature-controlled load frequency regulation reserve is added to the present invention;

[0060] Figure 4 The frequency response curves of the simulation system of the present invention at different delay times when the system is supported by a temperature-controlled load cluster to provide frequency modulation support.

[0061] Figure 5 This is a flow chart of a modeling and analysis method for a temperature-controlled load that takes into account the communication delay link and participates in the frequency regulation support of a new energy power system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0062] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely for the purpose of explaining the present invention and are not intended to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.

[0063] based on Figure 1The power system simulation model shown, which includes a high proportion of renewable energy, simulates the frequency dynamics of the grid during a sudden drop in wind power output (equivalent to a sudden 20MW load shortfall). In this scenario, traditional turbines, due to response delays (typically on the order of seconds), are unable to quickly compensate for the power imbalance caused by renewable energy fluctuations, causing the system frequency to drop rapidly. The addition of a temperature-controlled load cluster improves this frequency drop, and the proposed analysis method is used to analyze the improvement in system frequency.

[0064] like Figure 5 As shown, an embodiment of the present invention provides a modeling and analysis method for temperature-controlled loads participating in frequency regulation support of a new energy power system taking into account communication delay, including:

[0065] S1. Construct a frequency domain model of the temperature control load based on the thermodynamic characteristics of the temperature control load;

[0066] S2. Use the Padé approximation method to build a rational function approximation model for the communication delay link of the temperature-controlled load cluster, and convert the delay link into an analyzable transfer function form;

[0067] S3. Design a frequency response control strategy based on PI controller to dynamically couple the system frequency and the temperature control load compressor frequency;

[0068] S4. Integrate the frequency domain model, rational function approximation model, and frequency response control strategy to construct a power system frequency response model that takes into account the temperature-controlled load cluster. The power system frequency response model can be used to perform frequency domain analysis, time domain simulation, and delay impact analysis.

[0069] Wherein, the S1 includes:

[0070] S1.1. Based on the thermodynamic characteristics of the temperature control load, the frequency domain model of a single temperature control load is obtained:

[0071]

[0072] Among them, T in (s) and T out (s) is the indoor temperature and ambient temperature of each temperature-controlled load, C tcl and R tcl is the equivalent capacitance and resistance of the room, Q tcl is the cooling or heating capacity of the temperature control load where the air conditioner is located. After sorting, we can get:

[0073]

[0074] where τ tcl is the time constant of the temperature control load.

[0075] S1.2. The compressor frequency of the variable frequency air conditioner is introduced to describe the response characteristics of the temperature control load during the adjustment process. The relationship between the compressor frequency and the operating power and cooling capacity of the i-th temperature control load is:

[0076]

[0077] Among them, T P 、T Q is the time constant, k P 、k Q are active power and temperature control gains, μ P 、μ Q are active power and temperature control weights respectively, f tcl is the compressor frequency for temperature control load.

[0078] Wherein, the S2 specifically includes:

[0079] S2.1、In frequency domain analysis, e is often used -τs The link describes the delay of the communication link. Since the delay of the temperature control load compressor is a large delay link, a high-order rational function is used for approximation:

[0080]

[0081] in:

[0082]

[0083] In this embodiment, the high-order rational function is approximated by a fifth-order rational function, that is, l=k=5.

[0084] Wherein, the S3 specifically includes:

[0085] S3.1. For temperature-controlled loads such as variable-frequency air conditioners, since their compressor frequency is affected by the system frequency and the indoor temperature difference, two PI controllers are used to model them:

[0086] Δf tcl (s)=(k PT +k IT / s)·ΔT(s)+(k PS +k IS / s)·Δf s (s)

[0087] Among them, k PT and k IT are the proportional and integral coefficients of the temperature difference controller, k PS and k IS are the proportional and integral coefficients of the frequency controller, Δf tcl The frequency increment of the temperature control load compressor, Δf sis the system frequency change value. ΔT is the temperature difference between the indoor temperature and the set value:

[0088] ΔT(s)=T in (s)-T set (s)

[0089] Wherein, the S4 specifically includes:

[0090] S4.1, combined with S1.1-S3.1, we can get:

[0091]

[0092] Taking the increments on both sides of the temperature control load cooling capacity yields:

[0093]

[0094] Substituting in and sorting out, we get:

[0095]

[0096] From the above formula, we can know that the compressor frequency is related to the change of outdoor temperature, the change of indoor temperature and indoor set value, and the change of system frequency. Substituting the temperature control load power, we can get:

[0097]

[0098] Since the time scale of the temperature control load participating in the frequency modulation is relatively short, the outdoor temperature change and the set value remain unchanged, and the same compressor time constant is considered unchanged, so T Q =T P , so the above formula is simplified to:

[0099]

[0100] The transfer function between the frequency and active output of each temperature-controlled load can be obtained:

[0101]

[0102] For the active power output of the temperature control load cluster:

[0103]

[0104] S4.2, for a secondary frequency regulation system, add a temperature control load cluster to perform Figure 1 For the frequency regulation support shown in the figure, in the power system frequency dynamic response model, the transfer function is:

[0105]

[0106] where ΔP mThe active power output provided for the generator frequency regulation reserve consists of primary and secondary frequency regulation. By integrating the frequency domain model, delay link, and control law, the frequency regulation transfer function that takes into account the communication delay of the temperature-controlled load cluster can be obtained:

[0107]

[0108] in,

[0109]

[0110] G gen (s) is the generator model when the generator set is a reheat steam turbine, where T g 、T t 、T r is the time constant of the generator set, F HP is the reheat coefficient. R is the differential coefficient of the primary frequency modulation, and K is the gain of the integral link in the secondary frequency modulation.

[0111] The frequency drop caused by the active power shortage is the system frequency deviation constructed by the present invention. Substituting it into the response model constructed by the present invention can obtain the system frequency response curve. The temperature-controlled load and controller parameters used in the power system frequency response simulation of the temperature-controlled load cluster are shown in Table 1.

[0112] Table 1 Temperature control load and controller parameters

[0113]

[0114]

[0115] Figure 2 The system frequency curves before and after the addition of a temperature-controlled load frequency regulation reserve, when fluctuations in renewable energy output can easily lead to grid power imbalances, are shown. A comparison reveals that without the temperature-controlled load frequency regulation reserve, the system frequency drops rapidly after a sudden load increase, with large deviations from the lowest frequency and a prolonged recovery time. With the addition of the temperature-controlled load frequency regulation reserve, the temperature-controlled load cluster can quickly respond to frequency fluctuations, provide active power support, and effectively mitigate frequency drops. The lowest frequency point is significantly improved, and recovery time is significantly shortened. The rapid response capability of the temperature-controlled load cluster effectively compensates for rapid frequency drops caused by wind / PV power fluctuations, reduces the amplitude of frequency fluctuations, and improves the dynamic performance of the grid.

[0116] Figure 3To simulate the system's generator output and temperature-controlled load cluster output before and after adding a temperature-controlled load frequency reserve, we found that the system's 20MW active power deficit is covered by the generator modules after stabilization, while the temperature-controlled load cluster only provides active power support during transient conditions, mitigating frequency drops. This is because the temperature-controlled load setpoint remains unchanged. Therefore, only the compressor frequency within the temperature-controlled load is adjusted to provide transient frequency reserve, without providing steady-state active power output.

[0117] Figure 4 The frequency response curves of the system with frequency modulation support provided by a temperature-controlled load cluster are shown for different delay times (increasing from 0s to 4s). By comparison, it can be found that when the delay time is 0s: the temperature-controlled load cluster can quickly respond to frequency fluctuations, and the system frequency recovers smoothly without obvious oscillations. When the delay time is increased to 4s: the system frequency response shows obvious oscillations, and the time for the temperature-controlled load cluster to provide frequency modulation support is delayed, and the frequency recovery time is extended. This is because the control command lags due to communication delays, the response speed of the temperature-controlled load cluster decreases, and it is unable to provide active power support in a timely manner. The increase in delay time further exacerbates the lag effect of the control command, resulting in a decrease in the dynamic performance of the system.

[0118] The above example analysis demonstrates that temperature-controlled load clusters can effectively mitigate frequency drops. Their sub-second response timescales match the fluctuation timescales of renewable energy resources such as wind and photovoltaic power, filling the gaps in frequency regulation for traditional generator sets and improving system frequency stability. Temperature-controlled loads participating in frequency regulation only require adjusting the compressor frequency, without changing the setpoint, ensuring a consistent energy experience for users. The temperature-controlled load cluster primarily provides active power support during transient conditions, with the generators shouldering any remaining active power shortfalls in steady-state operation. Communication latency significantly impacts the frequency regulation effectiveness of the temperature-controlled load cluster and requires optimization in practical applications.

[0119] The above analysis provides a theoretical basis and technical support for the participation of temperature-controlled loads in grid frequency regulation in scenarios with a high proportion of new energy penetration, verifying the effectiveness and practicality of the present invention.

[0120] Another embodiment of the present invention provides a modeling and analysis system for temperature-controlled loads participating in frequency regulation support of a new energy power system taking into account a communication delay link, comprising: a computer-readable storage medium and a processor;

[0121] The computer-readable storage medium is used to store executable instructions;

[0122] The processor is used to read the executable instructions stored in the computer-readable storage medium and execute the modeling and analysis method of the temperature-controlled load participating in the frequency regulation support of the new energy power system considering the communication delay link.

[0123] Another embodiment of the present invention provides a non-transitory computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the modeling and analysis method for the temperature control load participating in the frequency regulation support of the new energy power system considering the communication delay link as described in the first aspect is implemented.

[0124] Those skilled in the art will appreciate that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0125] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the steps in the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0126] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0127] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0128] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered by the scope of protection of the claims of the present invention.

Claims

1. A modeling and analysis method for temperature-controlled loads participating in frequency regulation support of new energy power systems considering communication delay, characterized in that: include: S1. Construct a frequency domain model of the temperature control load based on the thermodynamic characteristics of the temperature control load; S2. Use the Padé approximation method to build a rational function approximation model for the communication delay link of the temperature-controlled load cluster, and convert the delay link into an analyzable transfer function form; S3. Design a frequency response control strategy based on PI controller to dynamically couple the system frequency and the temperature control load compressor frequency; S4. Systematically integrate the frequency domain model, the rational function approximation model, and the frequency response control strategy to construct a power system frequency response model that takes into account the temperature-controlled load cluster.

2. According to claim 1, a modeling and analysis method for temperature-controlled loads participating in frequency modulation support of new energy power systems considering communication delay links is characterized in that: Said S1 comprises: S1.

1. Based on the thermodynamic characteristics of the temperature control load, the frequency domain model of a single temperature control load is obtained: Among them, T in (s) and T out (s) is the indoor temperature and ambient temperature of each temperature-controlled load, C tcl and R tcl is the equivalent capacitance and resistance of the room, Q tcl is the cooling or heating capacity of the temperature control load where the air conditioner is located; sorting out to get: where τ tcl is the time constant of the temperature control load; S1.

2. The compressor frequency of the variable frequency air conditioner is introduced to describe the response characteristics of the temperature control load during the adjustment process. The relationship between the compressor frequency and the operating power and cooling capacity of the i-th temperature control load is: Among them, T P 、T Q is the time constant coefficient, k P 、k Q are active power and temperature control gains, μ P 、μ Q are active power and temperature control weights respectively, f tcl is the compressor frequency for temperature control load.

3. The modeling and analysis method for temperature-controlled loads participating in frequency modulation support of new energy power systems considering communication delay according to claim 2 is characterized in that: The S2 includes: S2.1、In frequency domain analysis, e is often used -τs The link describes the delay of the communication link. Since the delay of the temperature control load compressor is a large delay link, a high-order rational function is used for approximation: in:

4. The modeling and analysis method for temperature-controlled loads participating in frequency modulation support of a new energy power system considering communication delay according to claim 3 is characterized in that: The high-order rational function is approximated by a fifth-order rational function, that is, l=k=5.

5. The modeling and analysis method for temperature-controlled loads participating in frequency modulation support of a new energy power system considering communication delay according to claim 3 is characterized in that: The S3 includes: S3.

1. For temperature control loads, since the compressor frequency is affected by the system frequency and the indoor temperature difference, two PI controllers are used to model it: Δf tcl (s)=(k PT +k IT / s)·ΔT(s)+(k PS +k IS / s)·Δf s (s) Among them, k PT and k IT are the proportional and integral coefficients of the temperature difference controller, k PS and k IS are the proportional and integral coefficients of the frequency controller, Δf tcl The frequency increment of the temperature control load compressor, Δf s is the system frequency change value; ΔT is the temperature difference between the indoor temperature and the set value: ΔT(s)=T in (s)-T set (s)。 6. The modeling and analysis method for temperature-controlled loads participating in frequency modulation support of a new energy power system considering communication delay according to claim 5 is characterized in that: The S4 includes: S4.1, combined with S1.1-S3.1, we get: From the above formula, we can know that the compressor frequency is related to the change of outdoor temperature, the change of indoor temperature and indoor set value, and the change of system frequency. Substituting the temperature control load power, we can get: Since the time scale of the temperature control load participating in the frequency modulation is relatively short, the outdoor temperature change and the set value remain unchanged, and the same compressor time constant is considered unchanged, so T Q =T P , so formula (2-71) is simplified to: The transfer function between the frequency and active output of each temperature-controlled load can be obtained: For the active power output of the temperature control load cluster: S4.

2. For a secondary frequency regulation system, a temperature-controlled load cluster is added to support the frequency regulation shown in Figure 1. In the power system frequency dynamic response model, the transfer function is: where ΔP m The active power output provided for the generator frequency regulation reserve consists of primary and secondary frequency regulation. By integrating the frequency domain model, delay link, and control law, the frequency regulation transfer function that takes into account the communication delay of the temperature-controlled load cluster can be obtained: in, G gen (s) is the generator model when the generator set is a reheat steam turbine, where T g 、T t 、T r is the time constant of the generator set, F HP is the reheat coefficient. R is the differential coefficient of the primary frequency modulation, and K is the gain of the integral link in the secondary frequency modulation.

7. A modeling and analysis system for temperature-controlled loads participating in frequency regulation support for renewable energy power systems, taking into account communication delays, comprising: Computer-readable storage medium and processor; The computer-readable storage medium is used to store executable instructions; The processor is used to read the executable instructions stored in the computer-readable storage medium and execute the modeling and analysis method of the temperature control load participating in the frequency regulation support of the new energy power system considering the communication delay link as described in any one of claims 1-6.

8. A non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the modeling and analysis method for the participation of temperature-controlled loads in the frequency regulation support of a new energy power system taking into account the communication delay link as described in any one of claims 1-6.

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