Automatic load response method and device based on power grid frequency state

Abstract

The invention relates to the technical field of demand response, and particularly provides an automatic load response method and device based on a power grid frequency state, and the method comprises the steps: aggregating loads with the same state index into a load adjustment cluster, and determining a load adjustment cluster priority sequence based on the state index of the load corresponding to the load adjustment cluster; determining a load response target based on the frequency deviation of the power grid; and performing load automatic response based on the load regulation cluster priority sequence and a load response target. According to the technical scheme provided by the invention, fine adjustment of the load is realized, source-network-load joint debugging linkage of a novel power system is facilitated, and the flexible and fine adjustment level of load side resources participating in power grid safety regulation and control is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of demand response, and in particular to a method and device for automatic load response based on power grid frequency status. Background Art

[0002] Voltage stability and frequency stability are two important aspects of maintaining the stability of the power system. With the rapid development and large-scale access of renewable energy such as wind and solar, the power grid faces higher uncertainty and volatility. When traditional power systems face these changes, frequency deviation and voltage over-limit problems will become more prominent, which is essentially a problem of supply and demand balance in the power system.

[0003] The main ways to adjust the voltage and frequency of the power system include the following: First, the frequency regulator automatically adjusts the output power of the generator according to the change of frequency to keep the grid frequency within a reasonable range. Second, the generator output is dispatched. As the main power source of the power system, the generator controls the voltage and frequency by adjusting the output power of the generator. The dispatch of the generator can be achieved by adjusting the fuel supply, adjusting the load and speed of the steam turbine or the turbine, etc. At the same time, the supply and demand balance demand can also be achieved through load management. Traditional load response is achieved through demand response. The demand response organization formulates load adjustment targets and adjustment periods for different regions, different users, and different equipment according to the gap target released by the power grid, and responds according to the target at a specific time. In this way, the load belongs to the passive response mode and cannot perceive the voltage and frequency of the power system in the area where the load is located. When the power grid releases the adjustment target, it is mostly based on the supply and demand situation of larger areas such as the provincial level. It is difficult to consider the local area status and the short-term change of the power grid frequency. It is of great significance to the stability of the power system to enable the load side to perceive the power grid frequency state and actively respond according to the frequency. For the existing load response technology, the current one is mainly the demand response plan. According to the gap target released by the power grid, a load response plan is formulated and instructions are issued. Each load responds according to the issued instructions. The application scenarios are mostly peak-shaving scenarios, which make it difficult to cope with the regulation needs under the changes in power grid frequency.

[0004] For example: the technical solution of the prior art one, patent: Demand response control method and control system for temperature-controlled loads, CN113872216B, relates to a demand response control method for temperature-controlled loads, which determines the user temperature-controlled load response group according to the response capacity allocated by the power control center of the power grid, and switches the switch state of the user temperature-controlled load in the user temperature-controlled load response group to complete the demand response capacity control. The demand response control method and control system for temperature-controlled loads can realize unified control of the user temperature-controlled loads within the controlled range according to the received demand response control tasks, solving the problem that the user temperature-controlled load resources are dispersed and cannot be centrally controlled. However, the disadvantage of the first technology is that the demand response control method provided cannot perceive the voltage and frequency state quantities of the power grid, and the execution of the response needs to rely on the response capacity information allocated by the power control center to trigger, and the active response of the load cannot be realized.

[0005] The technical solution of the second prior art, patent: A two-stage peak-shaving response method on the user side based on load aggregators, CN112163687B, involves a two-stage peak-shaving response method on the user side based on load aggregators, which carries out a real-time peak-shaving market on the user side at the time of large-scale new energy production and establishes a peak-shaving market clearing model for system operators, guides load aggregators to aggregate terminal users' controllable resources to participate in the real-time peak-shaving auxiliary service market on the user side carried out by system operators, solves the problem that system operators cannot directly control large-scale distributed user terminal controllable devices, and then fully taps the peak-shaving potential on the user side and alleviates the peak-shaving pressure of the power grid. However, the disadvantage of the second technology is that the proposed response method is based on the new energy forecast data of the day before and within the day, and realizes the consumption of new energy through load response. It is mainly used in peak-shaving scenarios, with a long time scale of hours, and cannot realize the active response of loads to short-term frequency changes of the power grid.

[0006] In summary, the existing load response technology and demand response technology directly issue the total response target through the power grid, and then decompose the target to achieve it. This is a top-down approach that does not consider the coupling relationship between the actual operation of the power grid and the voltage-frequency characteristics. In addition, most of the response targets are formulated based on the forecast of electricity supply and demand for the next day or 4 hours within a day, which is not suitable for changes in power grid supply and demand with a shorter time scale. With the growth of highly random and volatile new energy power generation, short-time-scale power grid regulation will become an important regulation demand in the future. In the process of load response, it is necessary to consider the actual voltage and frequency changes of the power grid and actively respond to the load. Summary of the invention

[0007] In order to overcome the above defects, the present invention proposes a load automatic response method and device based on the power grid frequency state.

[0008] In a first aspect, a method for automatically responding to a load based on a power grid frequency state is provided, the method comprising:

[0009] Aggregate loads with the same status indicators into a load regulation cluster, and determine the priority sequence of the load regulation clusters based on the status indicators of the loads corresponding to the load regulation clusters;

[0010] Determine the load response target based on the frequency deviation of the power grid;

[0011] Automatic load response is performed based on the load regulation cluster priority sequence and the load response target.

[0012] Preferably, the load status indicator is as follows:

[0013]

[0014] In the above formula, u load is the load status index, a1 is the user reliability coefficient, pr is the user reliability, a2 is the comprehensive cost coefficient, C is the comprehensive cost, a3 is the user satisfaction coefficient, and PMV is the user satisfaction.

[0015] Furthermore, the user reliability is as follows:

[0016] pr=pr1×pr2×pr3

[0017] The comprehensive costs are as follows:

[0018] C=C1+C2+C3

[0019] The user satisfaction is as follows:

[0020]

[0021] In the above formula, pr1 is the power supply reliability rate of the substation, pr2 is the power supply reliability rate of the medium-voltage trunk line, pr3 is the power supply reliability rate of the medium-voltage branch line, C1 is the start-stop fee, C2 is the operation and maintenance fee, C3 is the line loss fee, T is the user set satisfaction, and α is the minimum satisfaction.

[0022] Preferably, determining the load regulation cluster priority sequence based on the state indicators of the loads corresponding to the load regulation clusters includes: sorting the load regulation clusters in ascending order according to the state indicators of the loads corresponding to the load regulation clusters to obtain the load regulation cluster priority sequence.

[0023] Preferably, before determining the load response target based on the frequency deviation of the power grid, it includes: using a frequency shift filter frequency measurement algorithm to obtain the frequency deviation of the power grid, and when the frequency deviation of the power grid exceeds a threshold, executing the method of determining the load response target based on the frequency deviation of the power grid.

[0024] Furthermore, the frequency deviation of the power grid is as follows:

[0025]

[0026] In the above formula, Δf is the frequency deviation of the power grid, x f (u1) is the value corresponding to the first natural variable u1 in the voltage frequency shift filter signal, x f (u2) is the value corresponding to the second natural variable u2 in the voltage frequency shift filter signal, M is the length of the sliding mean filter, f nom is the nominal frequency, u1 is the first natural variable, and u2 is the second natural variable.

[0027] Furthermore, the voltage frequency shift filter signal x f (u) are as follows:

[0028]

[0029] In the above formula, A1 is the amplitude when the harmonic order of the power grid is 1, ω nom is the nominal normalized angular frequency of the voltage discrete signal, ω nom =2π / M,ω r is the actual normalized angular frequency of the voltage discrete signal, ω r =2πf r / (Mf nom ), u is a natural variable, is the phase when the harmonic order of the power grid is 1, e is a natural constant, j is an imaginary unit, and f r is the fundamental frequency, f nom is the nominal frequency;

[0030] The voltage discrete signal is as follows:

[0031]

[0032] In the above formula, x(u) is the voltage discrete signal, A h is the amplitude when the power grid harmonic order is h, H is the maximum value of the power grid harmonic order, h is the power grid harmonic order, is the phase when the harmonic order of the power grid is h.

[0033] Preferably, the load response target is as follows:

[0034] J=z·Δf

[0035] In the above formula, J is the load response target, z is the gain of the frequency change and power reduction, and Δf is the frequency deviation of the power grid.

[0036] Preferably, the automatic load response based on the load regulation cluster priority sequence and the load response target includes:

[0037] Using the sequence number in the load regulation cluster priority sequence as the priority of the load in each load regulation cluster;

[0038] The priority and load response target of the loads in each load regulation cluster are substituted into the pre-built load automatic response model based on the grid frequency state and solved to obtain the response amount of each load.

[0039] Furthermore, the pre-constructed load automatic response model based on the power grid frequency state includes: an objective function with the goal of minimizing the load reduction amount of the load cluster and its corresponding constraint conditions.

[0040] Furthermore, the objective function is as follows:

[0041]

[0042] In the above formula, J1 is the objective function value, n l is the total number of loads in the lth load regulation cluster in the load regulation cluster priority sequence, j i is the total number of loads in the ith load regulation cluster in the priority sequence of load regulation clusters, u lik is the priority of the kth load in the ith load of the lth load regulation cluster in the load regulation cluster priority sequence, p L-lik is the response quantity corresponding to the kth response strategy of the ith load in the lth load regulation cluster in the load regulation cluster priority sequence, and N is the total number of load regulation clusters in the load regulation cluster priority sequence.

[0043] Furthermore, the constraints include: load cluster load reduction constraint, power balance constraint, voltage and frequency range constraint, and stability constraint.

[0044] Furthermore, the load reduction constraints of the load cluster are as follows:

[0045] J1≥J

[0046] The power balance constraints are as follows:

[0047]

[0048] The voltage-frequency range constraints are as follows:

[0049] Δf min ≤Δf≤Δf max

[0050] ΔV min ≤ΔV≤ΔV max

[0051] The stability constraints are as follows:

[0052] PM min ≤PM

[0053] In the above formula, m is the total number of generators, P Gr is the active power output of the rth generator, E is the total number of loads, P Le is the active power absorbed by the e-th load, P loss is the system active power loss, ΔP Δ is the active deviation value, Δf min and Δf max are the minimum and maximum frequency deviation of the power grid, ΔV min and ΔV max are the minimum and maximum voltage deviations allowed by the power grid, ΔV is the voltage deviation of the power grid, PM min is the minimum phase margin allowed by the system, and PM is the system phase margin.

[0054] Furthermore, the phase margin of the system is as follows:

[0055] PM = arctanZ(f c )+180°

[0056] In the above formula, Z(f c ) is the shear frequency f c The impedance of various micro sources in the power grid after aggregation is shown in Figure 1, and Z is the impedance model of various micro sources in the power grid after aggregation.

[0057] Furthermore, the impedance model of various micro-sources in the power grid after aggregation is as follows:

[0058] Z=Z g / (Z Σ1 / / Z Σ2 / / … / / Z Σx )

[0059] In the above formula, Z g is the line impedance between the grid and the power system, Z Σx is the characteristic impedance of the xth micro source device in the power grid.

[0060] In a second aspect, a load automatic response device based on a power grid frequency state is provided, the load automatic response device based on a power grid frequency state comprising:

[0061] An aggregation module, used to aggregate loads with the same state indicators into a load regulation cluster, and determine a priority sequence of the load regulation cluster based on the state indicators of the loads corresponding to the load regulation cluster;

[0062] A determination module, used for determining a load response target based on a frequency deviation of a power grid;

[0063] A response module is used to automatically respond to load based on the load regulation cluster priority sequence and the load response target.

[0064] Preferably, the load status indicator is as follows:

[0065]

[0066] In the above formula, u load is the load status index, a1 is the user reliability coefficient, pr is the user reliability, a2 is the comprehensive cost coefficient, C is the comprehensive cost, a3 is the user satisfaction coefficient, and PMV is the user satisfaction.

[0067] Furthermore, the user reliability is as follows:

[0068] pr=pr1×pr2×pr3

[0069] The comprehensive costs are as follows:

[0070] C=C1+C2+C3

[0071] The user satisfaction is as follows:

[0072]

[0073] In the above formula, pr1 is the power supply reliability rate of the substation, pr2 is the power supply reliability rate of the medium-voltage trunk line, pr3 is the power supply reliability rate of the medium-voltage branch line, C1 is the start-stop fee, C2 is the operation and maintenance fee, C3 is the line loss fee, T is the user set satisfaction, and α is the minimum satisfaction.

[0074] Preferably, the aggregation module is specifically used to: sort the load regulation clusters in ascending order according to the state indicators of the loads corresponding to the load regulation clusters to obtain a priority sequence of the load regulation clusters.

[0075] Preferably, the device includes: an analysis module for obtaining the frequency deviation of the power grid by adopting a frequency shift filter frequency measurement algorithm, and when the frequency deviation of the power grid exceeds a threshold, executing the method of determining the load response target based on the frequency deviation of the power grid.

[0076] Furthermore, the frequency deviation of the power grid is as follows:

[0077]

[0078] In the above formula, Δf is the frequency deviation of the power grid, x f (u1) is the value corresponding to the first natural variable u1 in the voltage frequency shift filter signal, x f(u2) is the value corresponding to the second natural variable u2 in the voltage frequency shift filter signal, M is the length of the sliding mean filter, f nom is the nominal frequency, u1 is the first natural variable, and u2 is the second natural variable.

[0079] Furthermore, the voltage frequency shift filter signal x f (u) are as follows:

[0080]

[0081] In the above formula, A1 is the amplitude when the harmonic order of the power grid is 1, ω nom is the nominal normalized angular frequency of the voltage discrete signal, ω nom =2π / M,ω r is the actual normalized angular frequency of the voltage discrete signal, ω r =2πf r / (Mf nom ), u is a natural variable, is the phase when the harmonic order of the power grid is 1, e is a natural constant, j is an imaginary unit, and f r is the fundamental frequency, f nom is the nominal frequency;

[0082] The voltage discrete signal is as follows:

[0083]

[0084] In the above formula, x(u) is the voltage discrete signal, A h is the amplitude when the power grid harmonic order is h, H is the maximum value of the power grid harmonic order, h is the power grid harmonic order, is the phase when the harmonic order of the power grid is h.

[0085] Preferably, the load response target is as follows:

[0086] J=z·Δf

[0087] In the above formula, J is the load response target, z is the gain of the frequency change and power reduction, and Δf is the frequency deviation of the power grid.

[0088] Preferably, the response module is specifically used for:

[0089] Using the sequence number in the load regulation cluster priority sequence as the priority of the load in each load regulation cluster;

[0090] The priority and load response target of the loads in each load regulation cluster are substituted into the pre-built load automatic response model based on the grid frequency state and solved to obtain the response amount of each load.

[0091] Furthermore, the pre-constructed load automatic response model based on the power grid frequency state includes: an objective function with the goal of minimizing the load reduction amount of the load cluster and its corresponding constraint conditions.

[0092] Furthermore, the objective function is as follows:

[0093]

[0094] In the above formula, J1 is the objective function value, n l is the total number of loads in the lth load regulation cluster in the load regulation cluster priority sequence, j i is the total number of loads in the ith load regulation cluster in the priority sequence of load regulation clusters, u lik is the priority of the kth load in the ith load of the lth load regulation cluster in the priority sequence of the load regulation cluster, p L-lik is the response quantity corresponding to the kth response strategy of the ith load in the lth load regulation cluster in the load regulation cluster priority sequence, and N is the total number of load regulation clusters in the load regulation cluster priority sequence.

[0095] Furthermore, the constraints include: load cluster load reduction constraint, power balance constraint, voltage and frequency range constraint, and stability constraint.

[0096] Furthermore, the load reduction constraints of the load cluster are as follows:

[0097] J1≥J

[0098] The power balance constraints are as follows:

[0099]

[0100] The voltage-frequency range constraints are as follows:

[0101] Δf min ≤Δf≤Δf max

[0102] ΔV min ≤ΔV≤ΔV max

[0103] The stability constraints are as follows:

[0104] PM min ≤PM

[0105] In the above formula, m is the total number of generators, P Gr is the active power output of the rth generator, E is the total number of loads, P Le is the active power absorbed by the e-th load, P loss is the system active power loss, ΔP Δis the active deviation value, Δf min and Δf max are the minimum and maximum frequency deviation of the power grid, ΔV min and ΔV max are the minimum and maximum voltage deviations allowed by the power grid, ΔV is the voltage deviation of the power grid, PM min is the minimum phase margin allowed by the system, and PM is the system phase margin.

[0106] Furthermore, the phase margin of the system is as follows:

[0107] PM = arctanZ(f c )+180°

[0108] In the above formula, Z(f c ) is the shear frequency f c The impedance of various micro sources in the power grid after aggregation is shown in Figure 1, and Z is the impedance model of various micro sources in the power grid after aggregation.

[0109] Furthermore, the impedance model of various micro-sources in the power grid after aggregation is as follows:

[0110] Z=Z g / (Z Σ1 / / Z Σ2 / / … / / Z Σx )

[0111] In the above formula, Z g is the line impedance between the grid and the power system, Z Σx is the characteristic impedance of the xth micro source device in the power grid.

[0112] In a third aspect, a computer device is provided, comprising: one or more processors;

[0113] The processor is configured to execute one or more programs;

[0114] When the one or more programs are executed by the one or more processors, the automatic load response method based on the power grid frequency state is implemented.

[0115] In a fourth aspect, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed, the method for automatic load response based on the power grid frequency state is implemented.

[0116] The above one or more technical solutions of the present invention have at least one or more of the following beneficial effects:

[0117] The present invention provides a method and device for automatic load response based on the frequency state of a power grid, including: aggregating loads with the same state indicators into a load regulation cluster, and determining the priority sequence of the load regulation cluster based on the state indicators of the loads corresponding to the load regulation cluster; determining the load response target based on the frequency deviation of the power grid; and automatically responding to the load based on the load regulation cluster priority sequence and the load response target. The technical solution provided by the present invention can realize the perception of the state quantity of the power grid, and formulate the active response target of the load in combination with the operation status of the load itself, and actively respond in a short time. This makes the load management work more intelligent, efficient, and convenient, reduces the need for human intervention, and improves the automation level of the operation of the power system. Through comprehensive and flexible hierarchical evaluation, it helps to improve the response speed of the power grid, realize automated load management, improve the stability of the power system, and reduce energy consumption and costs. It is helpful for the new power system to coordinate the source, grid, and load, and improve the flexible and refined adjustment level of the load-side resources participating in the safe regulation of the power grid. In the future, it can be widely used in various scenarios containing photovoltaic, energy storage, air conditioning, and motor loads such as large commercial buildings and industrial parks. BRIEF DESCRIPTION OF THE DRAWINGS

[0118] Figure 1 It is a flowchart diagram of the main steps of the load automatic response method based on the power grid frequency state according to an embodiment of the present invention. DETAILED DESCRIPTION

[0119] The specific implementation modes of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0120] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0121] As disclosed in the background technology, voltage stability and frequency stability are two important aspects of maintaining the stability of the power system. With the rapid development and large-scale access of renewable energy such as wind and solar, the power grid faces higher uncertainty and volatility. When traditional power systems face these changes, frequency deviation and voltage over-limit problems will become more prominent, which is essentially a supply and demand balance problem of the power system.

[0122] The main ways to adjust the voltage and frequency of the power system include the following: First, the frequency regulator automatically adjusts the output power of the generator according to the change of frequency to keep the grid frequency within a reasonable range. Second, the generator output is dispatched. As the main power source of the power system, the generator controls the voltage and frequency by adjusting the output power of the generator. The dispatch of the generator can be achieved by adjusting the fuel supply, adjusting the load and speed of the steam turbine or the turbine, etc. At the same time, the supply and demand balance demand can also be achieved through load management. Traditional load response is achieved through demand response. The demand response organization formulates load adjustment targets and adjustment periods for different regions, different users, and different equipment according to the gap target released by the power grid, and responds according to the target at a specific time. In this way, the load belongs to the passive response mode and cannot perceive the voltage and frequency of the power system in the area where the load is located. When the power grid releases the adjustment target, it is mostly based on the supply and demand situation of larger areas such as the provincial level. It is difficult to consider the local area status and the short-term change of the power grid frequency. It is of great significance to the stability of the power system to enable the load side to perceive the power grid frequency state and actively respond according to the frequency. For the existing load response technology, the current one is mainly the demand response plan. According to the gap target released by the power grid, a load response plan is formulated and instructions are issued. Each load responds according to the issued instructions. The application scenarios are mostly peak-shaving scenarios, which make it difficult to cope with the regulation needs under the changes in power grid frequency.

[0123] For example: the technical solution of the prior art one, patent: Demand response control method and control system for temperature-controlled loads, CN113872216B, relates to a demand response control method for temperature-controlled loads, which determines the user temperature-controlled load response group according to the response capacity allocated by the power control center of the power grid, and switches the switch state of the user temperature-controlled load in the user temperature-controlled load response group to complete the demand response capacity control. The demand response control method and control system for temperature-controlled loads can realize unified control of the user temperature-controlled loads within the controlled range according to the received demand response control tasks, solving the problem that the user temperature-controlled load resources are dispersed and cannot be centrally controlled. However, the disadvantage of the first technology is that the demand response control method provided cannot perceive the voltage and frequency state quantities of the power grid, and the execution of the response needs to rely on the response capacity information allocated by the power control center to trigger, and the active response of the load cannot be realized.

[0124] The technical solution of the second prior art, patent: A two-stage peak-shaving response method on the user side based on load aggregators, CN112163687B, involves a two-stage peak-shaving response method on the user side based on load aggregators, which carries out a real-time peak-shaving market on the user side at the time of large-scale new energy production and establishes a peak-shaving market clearing model for system operators, guides load aggregators to aggregate terminal users' controllable resources to participate in the real-time peak-shaving auxiliary service market on the user side carried out by system operators, solves the problem that system operators cannot directly control large-scale distributed user terminal controllable devices, and then fully taps the peak-shaving potential on the user side and alleviates the peak-shaving pressure of the power grid. However, the disadvantage of the second technology is that the proposed response method is based on the new energy forecast data of the day before and within the day, and realizes the consumption of new energy through load response. It is mainly used in peak-shaving scenarios, with a long time scale of hours, and cannot realize the active response of loads to short-term frequency changes of the power grid.

[0125] In summary, the existing load response technology and demand response technology directly issue the total response target through the power grid, and then decompose the target to achieve it. This is a top-down approach that does not consider the coupling relationship between the actual operation of the power grid and the voltage-frequency characteristics. In addition, most of the response targets are formulated based on the forecast of electricity supply and demand for the next day or 4 hours within a day, which is not suitable for changes in power grid supply and demand with a shorter time scale. With the growth of highly random and volatile new energy power generation, short-time-scale power grid regulation will become an important regulation demand in the future. In the process of load response, it is necessary to consider the actual voltage and frequency changes of the power grid and actively respond to the load.

[0126] In order to improve the above problems, the present invention provides a method and device for automatic load response based on the frequency state of the power grid, including: aggregating loads with the same state indicators into a load regulation cluster, and determining the priority sequence of the load regulation cluster based on the state indicators of the loads corresponding to the load regulation cluster; determining the load response target based on the frequency deviation of the power grid; and automatically responding to the load based on the load regulation cluster priority sequence and the load response target. The technical solution provided by the present invention can realize the perception of the state quantity of the power grid, and formulate the active response target of the load in combination with the operation of the load itself, and actively respond in a short time. This makes the load management work more intelligent, efficient and convenient, reduces the need for human intervention, and improves the degree of automation of the operation of the power system. Through comprehensive and flexible hierarchical evaluation, it helps to improve the response speed of the power grid, realize automated load management, improve the stability of the power system, and reduce energy consumption and costs. It is helpful for the new power system to coordinate the source, grid and load, and improve the flexible and refined adjustment level of the load-side resources participating in the safe regulation of the power grid. In the future, it can be widely used in various scenarios containing photovoltaic, energy storage, air conditioning, and motor loads such as large commercial buildings and industrial parks.

[0127] The above scheme is described in detail below.

[0128] Example 1

[0129] See attached Figure 1 , Figure 1 FIG. 1 is a flow chart of the main steps of a method for automatic load response based on power grid frequency status according to an embodiment of the present invention. Figure 1 As shown, the load automatic response method based on the power grid frequency state in the embodiment of the present invention mainly includes the following steps:

[0130] Step S101: Aggregate loads with the same state indicators into a load regulation cluster, and determine a priority sequence of the load regulation cluster based on the state indicators of the loads corresponding to the load regulation clusters;

[0131] Step S102: determining a load response target based on a frequency deviation of the power grid;

[0132] Step S103: Automatically respond to the load based on the load regulation cluster priority sequence and the load response target.

[0133] In this embodiment, the load status indicators are as follows:

[0134]

[0135] In the above formula, u load is the load status index, a1 is the user reliability coefficient, pr is the user reliability, a2 is the comprehensive cost coefficient, C is the comprehensive cost, a3 is the user satisfaction coefficient, and PMV is the user satisfaction.

[0136] In one embodiment, the user reliability is as follows:

[0137] pr=pr1×pr2×pr3

[0138] The comprehensive costs are as follows:

[0139] C=C1+C2+C3

[0140] The user satisfaction is as follows:

[0141]

[0142] In the above formula, pr1 is the power supply reliability rate of the substation, pr2 is the power supply reliability rate of the medium-voltage trunk line, pr3 is the power supply reliability rate of the medium-voltage branch line, C1 is the start-stop fee, C2 is the operation and maintenance fee, C3 is the line loss fee, T is the user set satisfaction, and α is the minimum satisfaction.

[0143] In this embodiment, determining the load regulation cluster priority sequence based on the state indicators of the loads corresponding to the load regulation clusters includes: sorting the load regulation clusters in ascending order according to the state indicators of the loads corresponding to the load regulation clusters to obtain the load regulation cluster priority sequence.

[0144] In this embodiment, before determining the load response target based on the frequency deviation of the power grid, it includes: using a frequency shift filter frequency measurement algorithm to obtain the frequency deviation of the power grid, and when the frequency deviation of the power grid exceeds a threshold, executing the method of determining the load response target based on the frequency deviation of the power grid.

[0145] In one embodiment, the frequency deviation of the power grid is as follows:

[0146]

[0147] In the above formula, Δf is the frequency deviation of the power grid, x f (u1) is the value corresponding to the first natural variable u1 in the voltage frequency shift filter signal, x f (u2) is the value corresponding to the second natural variable u2 in the voltage frequency shift filter signal, M is the length of the sliding mean filter, f nom is the nominal frequency, u1 is the first natural variable, and u2 is the second natural variable.

[0148] In one embodiment, the voltage frequency shift filter signal x f (u) are as follows:

[0149]

[0150] In the above formula, A1 is the amplitude when the harmonic order of the power grid is 1, ω nom is the nominal normalized angular frequency of the voltage discrete signal, ω nom =2π / M,ω r is the actual normalized angular frequency of the voltage discrete signal, ω r =2πf r / (Mf nom ), u is a natural variable, is the phase when the harmonic order of the power grid is 1, e is a natural constant, j is an imaginary unit, and f r is the fundamental frequency, f nom is the nominal frequency;

[0151] The voltage discrete signal is as follows:

[0152]

[0153] In the above formula, x(u) is the voltage discrete signal, A his the amplitude when the power grid harmonic order is h, H is the maximum value of the power grid harmonic order, h is the power grid harmonic order, is the phase when the harmonic order of the power grid is h.

[0154] In this embodiment, the load response target is as follows:

[0155] J=z·Δf

[0156] In the above formula, J is the load response target, z is the gain of the frequency change and power reduction, and Δf is the frequency deviation of the power grid.

[0157] In this embodiment, the automatic load response based on the load regulation cluster priority sequence and the load response target includes:

[0158] Using the sequence number in the load regulation cluster priority sequence as the priority of the load in each load regulation cluster;

[0159] The priority and load response target of the loads in each load regulation cluster are substituted into the pre-built load automatic response model based on the grid frequency state and solved to obtain the response amount of each load.

[0160] In one embodiment, the pre-built load automatic response model based on the power grid frequency state includes: an objective function with the goal of minimizing the load reduction amount of the load cluster and its corresponding constraint conditions.

[0161] In one embodiment, the objective function is as follows:

[0162]

[0163] In the above formula, J1 is the objective function value, n l is the total number of loads in the lth load regulation cluster in the load regulation cluster priority sequence, j i is the total number of loads in the ith load regulation cluster in the priority sequence of load regulation clusters, u lik is the priority of the kth load in the ith load of the lth load regulation cluster in the priority sequence of the load regulation cluster, p L-lik is the response quantity corresponding to the kth response strategy of the ith load in the lth load regulation cluster in the load regulation cluster priority sequence, and N is the total number of load regulation clusters in the load regulation cluster priority sequence.

[0164] In one embodiment, the constraint conditions include: load cluster load reduction constraint, power balance constraint, voltage and frequency range constraint, and stability constraint.

[0165] In one embodiment, the load cluster load reduction constraint is as follows:

[0166] J1≥J

[0167] The power balance constraints are as follows:

[0168]

[0169] The voltage-frequency range constraints are as follows:

[0170] Δf min ≤Δf≤Δf max

[0171] ΔV min ≤ΔV≤ΔV max

[0172] The stability constraints are as follows:

[0173] PM min ≤PM

[0174] In the above formula, m is the total number of generators, P Gr is the active power output of the rth generator, E is the total number of loads, P Le is the active power absorbed by the e-th load, P loss is the system active power loss, ΔP Δ is the active deviation value, Δf min and Δf max are the minimum and maximum frequency deviation of the power grid, ΔV min and ΔV max are the minimum and maximum voltage deviations allowed by the power grid, ΔV is the voltage deviation of the power grid, PM min is the minimum phase margin allowed by the system, and PM is the system phase margin.

[0175] In one embodiment, the system phase margin is as follows:

[0176] PM = arctanZ(f c )+180°

[0177] In the above formula, Z(f c ) is the shear frequency f c The impedance of various micro sources in the power grid after aggregation is shown in Figure 1, and Z is the impedance model of various micro sources in the power grid after aggregation.

[0178] In one embodiment, the impedance model of various micro-sources in the power grid after aggregation is as follows:

[0179] Z=Z g / (Z Σ1 / / Z Σ2 / / … / / Z Σx )

[0180] In the above formula, Zg is the line impedance between the grid and the power system, Z Σx is the characteristic impedance of the xth micro source device in the power grid.

[0181] Example 2

[0182] Based on the same inventive concept, the present invention also provides a load automatic response device based on the power grid frequency state, and the load automatic response device based on the power grid frequency state includes:

[0183] An aggregation module, used to aggregate loads with the same state indicators into a load regulation cluster, and determine a priority sequence of the load regulation cluster based on the state indicators of the loads corresponding to the load regulation cluster;

[0184] A determination module, used for determining a load response target based on a frequency deviation of a power grid;

[0185] A response module is used to automatically respond to load based on the load regulation cluster priority sequence and the load response target.

[0186] Preferably, the load status indicator is as follows:

[0187]

[0188] In the above formula, u load is the load status index, a1 is the user reliability coefficient, pr is the user reliability, a2 is the comprehensive cost coefficient, C is the comprehensive cost, a3 is the user satisfaction coefficient, and PMV is the user satisfaction.

[0189] Furthermore, the user reliability is as follows:

[0190] pr=pr1×pr2×pr3

[0191] The comprehensive costs are as follows:

[0192] C=C1+C2+C3

[0193] The user satisfaction is as follows:

[0194]

[0195] In the above formula, pr1 is the power supply reliability rate of the substation, pr2 is the power supply reliability rate of the medium-voltage trunk line, pr3 is the power supply reliability rate of the medium-voltage branch line, C1 is the start-stop fee, C2 is the operation and maintenance fee, C3 is the line loss fee, T is the user set satisfaction, and α is the minimum satisfaction.

[0196] Preferably, the aggregation module is specifically used to: sort the load regulation clusters in ascending order according to the state indicators of the loads corresponding to the load regulation clusters to obtain a priority sequence of the load regulation clusters.

[0197] Preferably, the device includes: an analysis module for obtaining the frequency deviation of the power grid by adopting a frequency shift filter frequency measurement algorithm, and when the frequency deviation of the power grid exceeds a threshold, executing the method of determining the load response target based on the frequency deviation of the power grid.

[0198] Furthermore, the frequency deviation of the power grid is as follows:

[0199]

[0200] In the above formula, Δf is the frequency deviation of the power grid, x f (u1) is the value corresponding to the first natural variable u1 in the voltage frequency shift filter signal, x f (u2) is the value corresponding to the second natural variable u2 in the voltage frequency shift filter signal, M is the length of the sliding mean filter, f nom is the nominal frequency, u1 is the first natural variable, and u2 is the second natural variable.

[0201] Furthermore, the voltage frequency shift filter signal x f (u) are as follows:

[0202]

[0203] In the above formula, A1 is the amplitude when the harmonic order of the power grid is 1, ω nom is the nominal normalized angular frequency of the voltage discrete signal, ω nom =2π / M,ω r is the actual normalized angular frequency of the voltage discrete signal, ω r =2πf r / (Mf nom ), u is a natural variable, is the phase when the harmonic order of the power grid is 1, e is a natural constant, j is an imaginary unit, and f r is the fundamental frequency, f nom is the nominal frequency;

[0204] The voltage discrete signal is as follows:

[0205]

[0206] In the above formula, x(u) is the voltage discrete signal, A h is the amplitude when the power grid harmonic order is h, H is the maximum value of the power grid harmonic order, h is the power grid harmonic order, is the phase when the harmonic order of the power grid is h.

[0207] Preferably, the load response target is as follows:

[0208] J=z·Δf

[0209] In the above formula, J is the load response target, z is the gain of the frequency change and power reduction, and Δf is the frequency deviation of the power grid.

[0210] Preferably, the response module is specifically used for:

[0211] Using the sequence number in the load regulation cluster priority sequence as the priority of the load in each load regulation cluster;

[0212] The priority and load response target of the loads in each load regulation cluster are substituted into the pre-built load automatic response model based on the grid frequency state and solved to obtain the response amount of each load.

[0213] Furthermore, the pre-constructed load automatic response model based on the power grid frequency state includes: an objective function with the goal of minimizing the load reduction amount of the load cluster and its corresponding constraint conditions.

[0214] Furthermore, the objective function is as follows:

[0215]

[0216] In the above formula, J1 is the objective function value, n l is the total number of loads in the lth load regulation cluster in the load regulation cluster priority sequence, j i is the total number of loads in the ith load regulation cluster in the priority sequence of load regulation clusters, u lik is the priority of the kth load in the ith load of the lth load regulation cluster in the load regulation cluster priority sequence, p L-lik is the response quantity corresponding to the kth response strategy of the ith load in the lth load regulation cluster in the load regulation cluster priority sequence, and N is the total number of load regulation clusters in the load regulation cluster priority sequence.

[0217] Furthermore, the constraints include: load cluster load reduction constraint, power balance constraint, voltage and frequency range constraint, and stability constraint.

[0218] Furthermore, the load reduction constraints of the load cluster are as follows:

[0219] J1≥J

[0220] The power balance constraints are as follows:

[0221]

[0222] The voltage-frequency range constraints are as follows:

[0223] Δf min ≤Δf≤Δf max

[0224] ΔV min ≤ΔV≤ΔV max

[0225] The stability constraints are as follows:

[0226] PM min ≤PM

[0227] In the above formula, m is the total number of generators, P Gr is the active power output of the rth generator, E is the total number of loads, P Le is the active power absorbed by the e-th load, P loss is the system active power loss, ΔP Δ is the active deviation value, Δf min and Δf max are the minimum and maximum frequency deviation of the power grid, ΔV min and ΔV max are the minimum and maximum voltage deviations allowed by the power grid, ΔV is the voltage deviation of the power grid, PM min is the minimum phase margin allowed by the system, and PM is the system phase margin.

[0228] Furthermore, the phase margin of the system is as follows:

[0229] PM = arctanZ(f c )+180°

[0230] In the above formula, Z(f c ) is the shear frequency f c The impedance of various micro sources in the power grid after aggregation is shown in Figure 1, and Z is the impedance model of various micro sources in the power grid after aggregation.

[0231] Furthermore, the impedance model of various micro-sources in the power grid after aggregation is as follows:

[0232] Z=Z g / (Z Σ1 / / Z Σ2 / / … / / Z Σx )

[0233] In the above formula, Z g is the line impedance between the grid and the power system, Z Σx is the characteristic impedance of the xth micro source device in the power grid.

[0234] Example 3

[0235] Based on the same inventive concept, the present invention also provides a computer device, which includes a processor and a memory, wherein the memory is used to store a computer program, the computer program includes program instructions, and the processor is used to execute the program instructions stored in the computer storage medium. The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, which is suitable for implementing one or more instructions, and is specifically suitable for loading and executing one or more instructions in the computer storage medium to implement the corresponding method flow or corresponding function, so as to implement the steps of a load automatic response method based on the power grid frequency state in the above embodiment.

[0236] Example 4

[0237] Based on the same inventive concept, the present invention also provides a storage medium, specifically a computer-readable storage medium (Memory), which is a memory device in a computer device for storing programs and data. It can be understood that the computer-readable storage medium here can include both built-in storage media in a computer device and, of course, extended storage media supported by the computer device. The computer-readable storage medium provides a storage space, which stores the operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by a processor are also stored in the storage space, and these instructions can be one or more computer programs (including program codes). It should be noted that the computer-readable storage medium here can be a high-speed RAM memory or a non-volatile memory, such as at least one disk memory. The processor can load and execute one or more instructions stored in the computer-readable storage medium to implement the steps of a load automatic response method based on the power grid frequency state in the above embodiment.

[0238] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0239] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0240] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate 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 A function specified in one or more boxes.

[0241] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0242] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant 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 within the scope of protection of the claims of the present invention.

Claims

1. A load automatic response method based on power grid frequency state, characterized in that: The method comprises: Aggregate loads with the same status indicators into a load regulation cluster, and determine the priority sequence of the load regulation clusters based on the status indicators of the loads corresponding to the load regulation clusters; Determine the load response target based on the frequency deviation of the power grid; Automatic load response is performed based on the load regulation cluster priority sequence and the load response target.

2. The method according to claim 1, characterized in that The load status indicators are as follows: In the above formula, u load is the load status index, a1 is the user reliability coefficient, pr is the user reliability, a2 is the comprehensive cost coefficient, C is the comprehensive cost, a3 is the user satisfaction coefficient, and PMV is the user satisfaction.

3. The method according to claim 2, characterized in that The user reliability is as follows: pr=pr1×pr2×pr3 The comprehensive costs are as follows: C=C1+C2+C3 The user satisfaction is as follows: In the above formula, pr1 is the power supply reliability rate of the substation, pr2 is the power supply reliability rate of the medium-voltage trunk line, pr3 is the power supply reliability rate of the medium-voltage branch line, C1 is the start-stop fee, C2 is the operation and maintenance fee, C3 is the line loss fee, T is the user set satisfaction, and α is the minimum satisfaction.

4. The method according to claim 1, characterized in that The method of determining the priority sequence of load regulation clusters based on the state indicators of the loads corresponding to the load regulation clusters includes: sorting the load regulation clusters in ascending order according to the state indicators of the loads corresponding to the load regulation clusters to obtain the priority sequence of the load regulation clusters.

5. The method according to claim 1, characterized in that Before determining the load response target based on the frequency deviation of the power grid, it includes: using a frequency shift filter frequency measurement algorithm to obtain the frequency deviation of the power grid, and when the frequency deviation of the power grid exceeds a threshold, executing the method of determining the load response target based on the frequency deviation of the power grid.

6. The method according to claim 5, characterized in that The frequency deviation of the power grid is as follows: In the above formula, Δf is the frequency deviation of the power grid, x f (u1) is the value corresponding to the first natural variable u1 in the voltage frequency shift filter signal, x f (u2) is the value corresponding to the second natural variable u2 in the voltage frequency shift filter signal, M is the length of the sliding mean filter, f nom is the nominal frequency, u1 is the first natural variable, and u2 is the second natural variable.

7. The method according to claim 6, characterized in that The voltage frequency shift filter signal x f (u) are as follows: In the above formula, A1 is the amplitude when the harmonic order of the power grid is 1, ω nom is the nominal normalized angular frequency of the voltage discrete signal, ω nom =2π / M,ω r is the actual normalized angular frequency of the voltage discrete signal, ω r =2πf r / (Mf nom ), u is a natural variable, is the phase when the harmonic order of the power grid is 1, e is a natural constant, j is an imaginary unit, and f r is the fundamental frequency, f nom is the nominal frequency; The voltage discrete signal is as follows: In the above formula, x(u) is the voltage discrete signal, A h is the amplitude when the power grid harmonic order is h, H is the maximum value of the power grid harmonic order, h is the power grid harmonic order, is the phase when the harmonic order of the power grid is h.

8. The method according to claim 1, characterized in that The load response targets are as follows: J=z·Δf In the above formula, J is the load response target, z is the gain of the frequency change and power reduction, and Δf is the frequency deviation of the power grid.

9. The method according to claim 1, characterized in that The automatic load response based on the load regulation cluster priority sequence and the load response target includes: Using the sequence number in the load regulation cluster priority sequence as the priority of the load in each load regulation cluster; The priority and load response target of the loads in each load regulation cluster are substituted into the pre-built load automatic response model based on the grid frequency state and solved to obtain the response amount of each load.

10. The method according to claim 9, characterized in that The pre-built load automatic response model based on the power grid frequency state includes: an objective function with the goal of minimizing the load reduction amount of the load cluster and its corresponding constraint conditions.

11. The method according to claim 10, characterized in that The objective function is as follows: In the above formula, J1 is the objective function value, n l is the total number of loads in the lth load regulation cluster in the load regulation cluster priority sequence, j i is the total number of loads in the ith load regulation cluster in the priority sequence of load regulation clusters, u lik is the priority of the kth load in the ith load of the lth load regulation cluster in the load regulation cluster priority sequence, p L-lik is the response quantity corresponding to the kth response strategy of the ith load in the lth load regulation cluster in the load regulation cluster priority sequence, and N is the total number of load regulation clusters in the load regulation cluster priority sequence.

12. The method according to claim 11, characterized in that The constraints include: load cluster load reduction constraint, power balance constraint, voltage and frequency range constraint, and stability constraint.

13. The method according to claim 12, characterized in that The load cluster load reduction constraints are as follows: J1≥J The power balance constraints are as follows: The voltage-frequency range constraints are as follows: Δf min ≤Δf≤Δf max ΔV min ≤ΔV≤ΔV max The stability constraints are as follows: PM min ≤PM In the above formula, m is the total number of generators, P Gr is the active power output of the rth generator, E is the total number of loads, P Le is the active power absorbed by the e-th load, P loss is the system active power loss, ΔP Δ is the active deviation value, Δf min and Δf max are the minimum and maximum frequency deviation of the power grid, ΔV min and ΔV max are the minimum and maximum voltage deviations allowed by the power grid, ΔV is the voltage deviation of the power grid, PM min is the minimum phase margin allowed by the system, and PM is the system phase margin.

14. The method according to claim 13, characterized in that The system phase margin is as follows: PM=arctanZ(f c )+180° In the above formula, Z(f c ) is the shear frequency f c The impedance of various micro sources in the power grid after aggregation is shown in Figure 1, and Z is the impedance model of various micro sources in the power grid after aggregation.

15. The method according to claim 14, characterized in that The impedance model of various micro-sources in the power grid after aggregation is as follows: Z=Z g / (WITH Σ1 / / WITH Σ2 / / … / / WITH Σx ) In the above formula, Z g is the line impedance between the grid and the power system, Z Σx is the characteristic impedance of the xth micro source device in the power grid.

16. A load automatic response device based on power grid frequency status, characterized in that: The device comprises: An aggregation module, used to aggregate loads with the same state indicators into a load regulation cluster, and determine a priority sequence of the load regulation cluster based on the state indicators of the loads corresponding to the load regulation cluster; A determination module, used for determining a load response target based on a frequency deviation of a power grid; A response module is used to automatically respond to load based on the load regulation cluster priority sequence and the load response target.

17. The device according to claim 16, characterized in that The load status indicators are as follows: In the above formula, u load is the load status index, a1 is the user reliability coefficient, pr is the user reliability, a2 is the comprehensive cost coefficient, C is the comprehensive cost, a3 is the user satisfaction coefficient, and PMV is the user satisfaction.

18. The device according to claim 17, characterized in that The user reliability is as follows: pr=pr1×pr2×pr3 The comprehensive costs are as follows: C=C1+C2+C3 The user satisfaction is as follows: In the above formula, pr1 is the power supply reliability rate of the substation, pr2 is the power supply reliability rate of the medium-voltage trunk line, pr3 is the power supply reliability rate of the medium-voltage branch line, C1 is the start-stop fee, C2 is the operation and maintenance fee, C3 is the line loss fee, T is the user set satisfaction, and α is the minimum satisfaction.

19. The device according to claim 16, characterized in that The aggregation module is specifically used to sort the load regulation clusters in ascending order according to the state indicators of the loads corresponding to the load regulation clusters to obtain a priority sequence of the load regulation clusters.

20. The device according to claim 16, characterized in that The device comprises: an analysis module, which is used for obtaining the frequency deviation of the power grid by adopting a frequency shift filter frequency measurement algorithm, and when the frequency deviation of the power grid exceeds a threshold, executing the method of determining the load response target based on the frequency deviation of the power grid.

21. The device according to claim 20, characterized in that The frequency deviation of the power grid is as follows: In the above formula, Δf is the frequency deviation of the power grid, x f (u1) is the value corresponding to the first natural variable u1 in the voltage frequency shift filter signal, x f (u2) is the value corresponding to the second natural variable u2 in the voltage frequency shift filter signal, M is the length of the sliding mean filter, f nom is the nominal frequency, u1 is the first natural variable, and u2 is the second natural variable.

22. The device according to claim 21, characterized in that The voltage frequency shift filter signal x f (u) are as follows: In the above formula, A1 is the amplitude when the harmonic order of the power grid is 1, ω nom is the nominal normalized angular frequency of the voltage discrete signal, ω nom =2π / M,ω r is the actual normalized angular frequency of the voltage discrete signal, ω r =2πf r / (Mf nom ), u is a natural variable, is the phase when the harmonic order of the power grid is 1, e is a natural constant, j is an imaginary unit, and f r is the fundamental frequency, f nom is the nominal frequency; The voltage discrete signal is as follows: In the above formula, x(u) is the voltage discrete signal, A h is the amplitude when the power grid harmonic order is h, H is the maximum value of the power grid harmonic order, h is the power grid harmonic order, is the phase when the harmonic order of the power grid is h.

23. The device according to claim 16, characterized in that The load response targets are as follows: J=z·Δf In the above formula, J is the load response target, z is the gain of the frequency change and power reduction, and Δf is the frequency deviation of the power grid.

24. The device according to claim 16, characterized in that The response module is specifically used for: Using the sequence number in the load regulation cluster priority sequence as the priority of the load in each load regulation cluster; The priority and load response target of the loads in each load regulation cluster are substituted into the pre-built load automatic response model based on the grid frequency state and solved to obtain the response amount of each load.

25. The device according to claim 24, characterized in that The pre-built load automatic response model based on the power grid frequency state includes: an objective function with the goal of minimizing the load reduction amount of the load cluster and its corresponding constraint conditions.

26. The device according to claim 25, characterized in that The objective function is as follows: In the above formula, J1 is the objective function value, n l is the total number of loads in the lth load regulation cluster in the load regulation cluster priority sequence, j i is the total number of loads in the ith load regulation cluster in the priority sequence of load regulation clusters, u lik is the priority of the kth load in the ith load of the lth load regulation cluster in the load regulation cluster priority sequence, p L-lik is the response quantity corresponding to the kth response strategy of the ith load in the lth load regulation cluster in the load regulation cluster priority sequence, and N is the total number of load regulation clusters in the load regulation cluster priority sequence.

27. The device according to claim 26, characterized in that The constraints include: load cluster load reduction constraint, power balance constraint, voltage and frequency range constraint, and stability constraint.

28. The device according to claim 27, characterized in that The load cluster load reduction constraints are as follows: J1≥J The power balance constraints are as follows: The voltage-frequency range constraints are as follows: Δf min ≤Δf≤Δf max ΔV min ≤ΔV≤ΔV max The stability constraints are as follows: PM min ≤PM In the above formula, m is the total number of generators, P Gr is the active power output of the rth generator, E is the total number of loads, P Le is the active power absorbed by the e-th load, P loss is the system active power loss, ΔP Δ is the active deviation value, Δf min and Δf max are the minimum and maximum frequency deviation of the power grid, ΔV min and ΔV max are the minimum and maximum voltage deviations allowed by the power grid, ΔV is the voltage deviation of the power grid, PM min is the minimum phase margin allowed by the system, and PM is the system phase margin.

29. The device according to claim 28, characterized in that The system phase margin is as follows: PM=arctanZ(f c )+180° In the above formula, Z(f c ) is the shear frequency f c The impedance of various micro sources in the power grid after aggregation is shown in Figure 1, and Z is the impedance model of various micro sources in the power grid after aggregation.

30. The device according to claim 29, characterized in that The impedance model of various micro-sources in the power grid after aggregation is as follows: Z=Z g / (WITH Σ1 / / WITH Σ2 / / … / / WITH Σx ) In the above formula, Z g is the line impedance between the grid and the power system, Z Σx is the characteristic impedance of the xth micro source device in the power grid.

31. A computer device, characterized in that: include: one or more processors; The processor is used to store one or more programs; When the one or more programs are executed by the one or more processors, the load automatic response method based on the power grid frequency state as described in any one of claims 1 to 15 is implemented.

32. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed, the load automatic response method based on the power grid frequency state as described in any one of claims 1 to 15 is implemented.

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