Distributed power generation control method and device of power system, and electronic equipment

Abstract

The invention discloses a distributed power generation control method and device of a power system and electronic equipment, and relates to the technical field of power system control, and the control method comprises the steps: constructing a power generation inertia response model of each preset distributed power generation module, constructing a load inertia response model, and constructing a distributed power generation control model, a first preset inertia value and a first preset inertia coefficient of each preset distributed power generation module are determined, a second preset inertia value of each preset distributed power generation module is determined, and for each preset distributed power generation module, under the condition that the first preset inertia value is not equal to the second preset inertia value, the inertia coefficient of each preset distributed power generation module is determined; and iterating the first preset inertia coefficient to obtain a target inertia coefficient, and sending the target inertia coefficient to the preset distributed power generation modules to complete control of all the preset distributed power generation modules. According to the invention, the technical problem that the distributed energy inertia cannot be efficiently and uniformly controlled in the prior art is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of power system control, and in particular to a distributed power generation control method and device thereof, and electronic equipment of a power system. Background Art

[0002] Due to the increasing proportion of renewable energy (such as wind power generation and photovoltaic power generation) in the power system in recent years, the application of a large number of inverters (equipment that uses semiconductor devices to convert electrical energy) and distributed power generation devices has made the power system face the risk of reduced synchronous generator capacity and reduced system inertia (a measure of the system's ability to resist frequency changes when there is an imbalance between supply and demand).

[0003] In related technologies, renewable energy power generation adopts a grid-forming (GFM) control strategy, which simulates the inertia of synchronous generators to achieve active support for grid frequency and voltage.

[0004] However, there are many types of distributed energy network control strategies at present, and the inertia capabilities of different distributed energy devices are inconsistent, resulting in the inability to effectively coordinate the response speed and capabilities of each distributed energy device. At the same time, when controlling the distributed energy network, there is an error between the virtual inertia reference value (that is, a set virtual inertia value) and the actual value. Therefore, a supporting control technology for distributed energy network aggregation is urgently needed to achieve unified management and allocation of distributed energy inertia.

[0005] To address the above-mentioned problems, no effective solution has been proposed yet. Summary of the invention

[0006] The embodiments of the present invention provide a distributed power generation control method and device and electronic equipment for a power system, so as to at least solve the technical problem in the related art that the inertia of distributed energy cannot be uniformly controlled efficiently.

[0007] According to one aspect of an embodiment of the present invention, a distributed power generation control method of an electric power system is provided, comprising: constructing a power generation inertia response model of each preset distributed power generation module, wherein the preset distributed power generation module is a power generation module on the electric power system, and the preset distributed power generation module at least includes: a generator power generation module, a wind power generation module, and a photovoltaic power generation module; constructing a load inertia response model, and constructing a distributed power generation control model based on the load inertia response model and the power generation inertia response model; monitoring the current power value of each preset distributed power generation module, determining a first preset inertia value and a first preset inertia coefficient of each preset distributed power generation module based on the current power value, and determining a second preset inertia value of each preset distributed power generation module based on the current power value and a power change value; for each preset distributed power generation module, when the first preset inertia value is not equal to the second preset inertia value, iterating the first preset inertia coefficient to obtain a target inertia coefficient corresponding to the preset distributed power generation module, and sending the target inertia coefficient corresponding to the preset distributed power generation module to the preset distributed power generation module based on the distributed power generation control model, so as to complete the control of all the preset distributed power generation modules.

[0008] Furthermore, before constructing the power generation inertia response model of each preset distributed power generation module, it includes: determining the system frequency deviation based on the system measured frequency and the system rated frequency; and determining the proportionality coefficient between the system frequency deviation and the active output value of the photovoltaic power generation module based on the system frequency deviation.

[0009] Furthermore, the step of constructing a power generation inertia response model for each preset distributed power generation module includes: constructing the power generation inertia response model of the generator power generation module based on the system frequency deviation and the first inertia coefficient variable of the generator power generation module; constructing the power generation inertia response model of the wind power generation module based on the system frequency deviation, the droop coefficient of the wind turbine power, and the second inertia coefficient variable of the wind power generation module; constructing the power generation inertia response model of the photovoltaic power generation module based on the capacitance of the photovoltaic power generation module, the voltage of the photovoltaic power generation module, the proportional coefficient, and the third inertia coefficient variable of the photovoltaic power generation module.

[0010] Furthermore, the step of constructing a load inertia response model includes: detecting the voltage and current at each load node end of the power system, and determining a preset power based on the voltage and the current; and constructing the load inertia response model based on a load proportional coefficient, the preset power, the system measured frequency, and the system rated frequency.

[0011] Furthermore, the step of constructing a distributed power generation control model based on the load inertia response model and the power generation inertia response model includes: constructing a power balance model of the power system based on the active output value of each of the preset distributed power generation modules; and constructing the distributed power generation control model based on the power balance model, the load inertia response model and each of the power generation inertia response models.

[0012] Furthermore, based on the current power value, the step of determining the first preset inertia value and the first preset inertia coefficient of each of the preset distributed power generation modules includes: calculating the first preset kinetic energy of each of the preset distributed power generation modules based on the current power value and the preset time interval; determining the mechanical angular velocity of the preset distributed power generation module based on the frequency of the preset distributed power generation module, and determining the first preset inertia value of each of the preset distributed power generation modules based on the first preset kinetic energy and the mechanical angular velocity; determining the first preset inertia coefficient of each of the preset distributed power generation modules based on the first preset inertia value, the rated mechanical angular velocity and the rated capacity of the generator.

[0013] Furthermore, the step of determining the second preset inertia value of each of the preset distributed power generation modules based on the current power value and the power change value includes: determining the power change value, and determining the second preset kinetic energy of the preset distributed power generation module based on the current power value, the power change value and the preset time interval; and determining the second preset inertia value based on the second preset kinetic energy and the mechanical angular velocity.

[0014] According to another aspect of an embodiment of the present invention, a distributed power generation control device of an electric power system is provided, comprising: a first construction unit, used to construct a power generation inertia response model of each preset distributed power generation module, wherein the preset distributed power generation module is a power generation module on the electric power system, and the preset distributed power generation module at least includes: a generator power generation module, a wind power generation module, and a photovoltaic power generation module; a second construction unit, used to construct a load inertia response model, and based on the load inertia response model and the power generation inertia response model, construct a distributed power generation control model; a determination unit, used to monitor the current power value of each of the preset distributed power generation modules, and based on the current power value, determine each The first preset inertia value and the first preset inertia coefficient of the preset distributed power generation module are determined, and based on the current power value and the power change value, the second preset inertia value of each preset distributed power generation module is determined; a processing unit is used for iterating the first preset inertia coefficient for each preset distributed power generation module when the first preset inertia value is not equal to the second preset inertia value to obtain a target inertia coefficient corresponding to the preset distributed power generation module, and based on the distributed power generation control model, sending the target inertia coefficient corresponding to the preset distributed power generation module to the preset distributed power generation module to complete the control of all the preset distributed power generation modules.

[0015] Furthermore, the distributed power generation control device includes: a first determination module, used to determine the system frequency deviation based on the system measured frequency and the system rated frequency before constructing the power generation inertia response model of each preset distributed power generation module; a second determination module, used to determine the proportional coefficient between the system frequency deviation and the active output value of the photovoltaic power generation module based on the system frequency deviation.

[0016] Furthermore, the first construction unit includes: a first construction module, used to construct the power generation inertia response model of the generator power generation module based on the system frequency deviation and the first inertia coefficient variable of the generator power generation module; a second construction module, used to construct the power generation inertia response model of the wind power generation module based on the system frequency deviation, the droop coefficient of the wind turbine power, and the second inertia coefficient variable of the wind power generation module; a third construction module, used to construct the power generation inertia response model of the photovoltaic power generation module based on the capacitance of the photovoltaic power generation module, the voltage of the photovoltaic power generation module, the proportional coefficient and the third inertia coefficient variable of the photovoltaic power generation module.

[0017] Furthermore, the second construction unit includes: a third determination module, used to detect the voltage and current at each load node end of the power system, and determine the preset power based on the voltage and the current; a fourth construction module, used to construct the load inertia response model based on the load proportional coefficient, the preset power, the system measured frequency and the system rated frequency.

[0018] Furthermore, the second construction unit also includes: a fifth construction module, used to construct a power balance model of the power system based on the active output value of each of the preset distributed power generation modules; a sixth construction module, used to construct the distributed power generation control model based on the power balance model, the load inertia response model and each of the power generation inertia response models.

[0019] Further, the determination unit includes: a first calculation module, used to calculate the first preset kinetic energy of each of the preset distributed power generation modules based on the current power value and the preset time interval; a fourth determination module, used to determine the mechanical angular velocity of the preset distributed power generation module based on the frequency of the preset distributed power generation module, and determine the first preset inertia value of each of the preset distributed power generation modules based on the first preset kinetic energy and the mechanical angular velocity; a fifth determination module, used to determine the first preset inertia coefficient of each of the preset distributed power generation modules based on the first preset inertia value, the rated mechanical angular velocity and the rated capacity of the generator.

[0020] Furthermore, the determination unit also includes: a sixth determination module, used to determine the power change value, and determine the second preset kinetic energy of the preset distributed power generation module based on the current power value, the power change value and the preset time interval; a seventh determination module, used to determine the second preset inertia value based on the second preset kinetic energy and the mechanical angular velocity.

[0021] According to another aspect of an embodiment of the present invention, a computer program product is also provided, including a non-volatile computer-readable storage medium, wherein the non-volatile computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the distributed power generation control method of the power system described in any one of the above is implemented.

[0022] According to another aspect of an embodiment of the present invention, there is also provided an electronic device, comprising one or more processors and a memory, wherein the memory is used to store one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement any one of the above-mentioned distributed power generation control methods for the power system.

[0023] In the present invention, a power generation inertia response model of each preset distributed power generation module can be constructed, as well as a load inertia response model. Based on the load inertia response model and the power generation inertia response model, a distributed power generation control model can be constructed to monitor the current power value of each preset distributed power generation module. Based on the current power value, a first preset inertia value and a first preset inertia coefficient of each preset distributed power generation module are determined. Based on the current power value and the power change value, a second preset inertia value of each preset distributed power generation module is determined. For each preset distributed power generation module, when the first preset inertia value is not equal to the second preset inertia value, the first preset inertia coefficient is iterated to obtain a target inertia coefficient corresponding to the preset distributed power generation module. Based on the distributed power generation control model, the target inertia coefficient corresponding to the preset distributed power generation module is sent to the preset distributed power generation module to complete the control of all preset distributed power generation modules, thereby solving the technical problem in the related art that the inertia of distributed energy cannot be efficiently and uniformly controlled.

[0024] In the present invention, according to the constructed power generation inertia response model of each preset distributed power generation module and the constructed load inertia response model, a distributed power generation control model can be established, and at the same time, the current power value of each preset distributed power generation module can be monitored, and the power change value when the load power suddenly changes can be monitored, and the first preset inertia value, the first preset inertia coefficient and the second preset inertia value can be calculated. When the first preset inertia value is not equal to the second preset inertia value, the first preset inertia coefficient is iteratively updated until the first preset inertia value is equal to the second preset inertia value, and the target inertia coefficient corresponding to the preset distributed power generation module can be obtained. Through the distributed power generation control model, the target inertia coefficient is sent to each preset distributed power generation module, which can complete the active support of the distributed power generation module, thereby efficiently achieving the technical effect of unified control of the distributed energy inertia. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0026] Figure 1 is a flow chart of an optional distributed power generation control method of a power system according to an embodiment of the present invention;

[0027] Figure 2 is a flow chart of an optional distributed energy network aggregation support control method according to an embodiment of the present invention;

[0028] Figure 3is a schematic diagram of an optional distributed power generation control device of a power system according to an embodiment of the present invention;

[0029] Figure 4 It is a hardware structure block diagram of an electronic device (or mobile device) for a distributed power generation control method of a power system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0030] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme 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 only 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 should fall within the scope of protection of the present invention.

[0031] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0032] It should be noted that the relevant information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) collected and involved in the present invention are all information and data authorized by the user or fully authorized by all parties, and the collection, storage, use, processing, transmission, provision, disclosure and application of relevant data are in compliance with the relevant laws, regulations and standards of the relevant regions, necessary confidentiality measures are taken, and public order and good customs are not violated, and corresponding operation entrances are provided for users to choose to authorize or refuse. For example, an interface is set between the system and the relevant users or organizations. Before obtaining relevant information, it is necessary to send an acquisition request to the aforementioned user or organization through the interface, and obtain relevant information after receiving the consent information fed back by the aforementioned user or organization.

[0033] In the present invention, since there are many types of distributed energy network control strategies and the inertia capabilities of different distributed energy devices are inconsistent, it is impossible to effectively cooperate in terms of response speed and response capability. Therefore, the present invention proposes a support control method for distributed energy network aggregation, which can establish an aggregation model for distributed energy power generation. When the power system is disturbed and the actual inertia of distributed energy at various locations is unknown, the power grid dispatching and control center sets the power change that each distributed energy generation module should bear, and calculates the actual inertia of distributed energy at various locations and the corresponding ideal inertia. The inertia of the power system can be coordinated and uniformly regulated through the established distributed energy generation aggregation model, which solves the problem of power system instability caused by the reduction of power system inertia under the trend of double highs (i.e., a high proportion of renewable energy (such as wind energy, solar energy, etc.) and a high proportion of power electronic equipment (such as power electronic converters)), thereby ensuring the reliability of power supply to the power system.

[0034] The present invention is described in detail below in conjunction with various embodiments.

[0035] Embodiment 1

[0036] According to an embodiment of the present invention, an embodiment of a distributed power generation control method of an electric power system is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0037] Figure 1 is a flow chart of an optional distributed power generation control method of a power system according to an embodiment of the present invention, such as Figure 1 As shown, the method comprises the following steps:

[0038] Step S101, constructing a power generation inertia response model for each preset distributed power generation module, wherein the preset distributed power generation module is a power generation module on the power system, and the preset distributed power generation module at least includes: a generator power generation module, a wind power generation module, and a photovoltaic power generation module.

[0039] Optionally, in the power system, the power generation part includes traditional synchronous generator power generation and distributed renewable energy power generation, and the distributed renewable energy power generation may include wind power generation, photovoltaic power generation, etc.

[0040] In this embodiment, each preset distributed power generation module of the power system (including a distributed new energy power generation module) can be modeled to obtain a power generation inertia response model of each preset distributed power generation module. The preset distributed power generation module includes at least a generator power generation module, a wind power generation module, and a photovoltaic power generation module.

[0041] In this embodiment, the power generation inertia response model of each preset distributed power generation module may include the power generation inertia response model of the generator power generation module, the power generation inertia response model of the photovoltaic power generation module, and the power generation inertia response model of the wind power generation module.

[0042] Step S102: construct a load inertia response model, and construct a distributed generation control model based on the load inertia response model and the generation inertia response model.

[0043] Optionally, after modeling the inertia responses of various parts of the power system containing renewable energy generation (including load inertia response model and generation inertia response model), a distributed energy grid aggregation support control model (i.e., distributed generation control model) can be established.

[0044] In this embodiment, by aggregating the new energy power generation modules, the power grid dispatching center can uniformly control the inertia coefficient of each distributed power generation module in the distributed power generation control model to achieve support and control of the power grid, so as to improve the dispatchability of new energy power generation and enhance the stability and reliability of the power grid.

[0045] Step S103, monitor the current power value of each preset distributed power generation module, determine the first preset inertia value and the first preset inertia coefficient of each preset distributed power generation module based on the current power value, and determine the second preset inertia value of each preset distributed power generation module based on the current power value and the power change value.

[0046] Optionally, when the inertia of each part of the power system is unknown, the current power value of each preset distributed generation module can be monitored (i.e., the active power output of the distributed generation module measured in real time by the system), and the first preset inertia value of each preset distributed generation module (i.e., the actual inertia value, such as J i ) and the first preset inertia coefficient (ie, the actual inertia coefficient, such as K i ).

[0047] In this embodiment, when it is monitored that the load power of the power system has a sudden change (that is, each preset distributed generation module needs to bear a power change, increase power or reduce power at this time), the power grid dispatching control center can uniformly allocate the power change amount to be borne by each module, and according to the current power value and the power change amount, the second preset inertia value (that is, the ideal inertia value, such as J) of each preset distributed generation module can be calculated. i new ).

[0048] Step S104: for each preset distributed power generation module, when the first preset inertia value is not equal to the second preset inertia value, iterate the first preset inertia coefficient to obtain the target inertia coefficient corresponding to the preset distributed power generation module, and based on the distributed power generation control model, send the target inertia coefficient corresponding to the preset distributed power generation module to the preset distributed power generation module to complete the control of all preset distributed power generation modules.

[0049] Optionally, for each preset distributed power generation module, a first preset inertia value and a second preset inertia value may be obtained respectively. When the first preset inertia value is not equal to the second preset inertia value, the first preset inertia coefficient may be iterated to obtain a target inertia coefficient corresponding to each preset distributed power generation module (i.e., an ideal target inertia coefficient, such as ).

[0050] In this embodiment, the first preset inertia coefficient may be iterated by using the least square method. After each iteration, the inertia coefficient may be updated until the first preset inertia value is equal to the second preset inertia value, thereby obtaining the target inertia coefficient.

[0051] In this embodiment, the target inertia coefficient corresponding to the preset distributed power generation module can be sent to the preset distributed power generation module according to the distributed power generation control model to complete the control of all preset distributed power generation modules.

[0052] In summary, by constructing a power generation inertia response model of each preset distributed power generation module, and constructing a load inertia response model, and constructing a distributed power generation control model according to the load inertia response model and the power generation inertia response model, and then monitoring the current power value of each preset distributed power generation module, and determining the first preset inertia value and the first preset inertia coefficient of each preset distributed power generation module according to the current power value, when the system load power changes, the second preset inertia value of each preset distributed power generation module can be determined according to the current power value and the power change value. For each preset distributed power generation module, when the first preset inertia value is not equal to the second preset inertia value, the first preset inertia coefficient is iterated to obtain the target inertia coefficient corresponding to the preset distributed power generation module, and then according to the distributed power generation control model, the target inertia coefficient corresponding to the preset distributed power generation module is sent to the preset distributed power generation module to complete the control of all preset distributed power generation modules, thereby solving the technical problem in the related art that the inertia of distributed energy cannot be efficiently and uniformly controlled.

[0053] In order to determine the proportionality coefficient between the system frequency deviation and the active output value of the photovoltaic power generation module, it is necessary to first determine the system frequency deviation. In the distributed power generation control method of the power system provided in Example 1 of the present application, the system frequency deviation is determined based on the system measured frequency and the system rated frequency; based on the system frequency deviation, the proportionality coefficient between the system frequency deviation and the active output value of the photovoltaic power generation module is determined.

[0054] Optionally, the measured system frequency (such as f m ) and the rated frequency of the system (such as f ref ), calculate the frequency deviation of the system (such as Δf):

[0055] Δf=f m -f ref (1);

[0056] In this embodiment, the proportionality coefficient (such as K) between the system frequency deviation and the active output value of the photovoltaic power generation module can be determined according to the system frequency deviation. p1 ), the proportional coefficients of different photovoltaic power generation module devices may be inconsistent.

[0057] In order to accurately construct the power generation inertia response model of each power generation module, in the distributed power generation control method of the power system provided in Example 1 of the present application, the power generation inertia response model of the generator power generation module is constructed based on the system frequency deviation and the first inertia coefficient variable of the generator power generation module; the power generation inertia response model of the wind power generation module is constructed based on the system frequency deviation, the droop coefficient of the wind turbine power, and the second inertia coefficient variable of the wind power generation module; the power generation inertia response model of the photovoltaic power generation module is constructed based on the capacitance of the photovoltaic power generation module, the voltage of the photovoltaic power generation module, the proportional coefficient and the third inertia coefficient variable of the photovoltaic power generation module.

[0058] Optionally, when the load power suddenly changes, the synchronous generator (i.e., the generator power generation module) shares the disturbance component (i.e., the value of the system power change caused by the sudden change in the load power), which can be calculated based on the system frequency deviation and the first inertia coefficient variable of the generator power generation module (such as K G ), construct the power generation inertia response model of the generator power generation module:

[0059]

[0060] Among them, ΔP G Indicates the additional active output value of the generator power generation module. It represents the rate of change of frequency deviation Δf with time t.

[0061] In this embodiment, in order to realize active support for frequency, in the inertia aggregation support control, the wind turbine (i.e., wind power generation module) participates in the inertia response based on the virtual inertia method (i.e., a simulation method), and the wind turbine can be controlled by droop control (i.e., a control strategy that simulates the frequency response characteristics of a traditional synchronous generator) and virtual inertia to reduce the speed of the wind turbine, convert the energy stored in the rotating blades of the wind turbine into active power, and improve the active power output of the wind turbine, thereby providing inertia support. The droop coefficient of the wind turbine power (such as K) can be calculated based on the system frequency deviation and the wind turbine power. W1 ), the second inertia coefficient variable of the wind power generation module (such as K W2 ), build the power generation inertia response model of the wind power generation module:

[0062]

[0063] Among them, ΔP cw Indicates the additional active output value of the wind power generation module.

[0064] In this embodiment, in order to improve the inertia response level of the photovoltaic power station and ensure the power generation quality, the photovoltaic unit participates in the inertia aggregation support control based on the capacitor virtual inertia method. The capacitors on both sides of the photovoltaic unit converter can store energy. Changing the capacitor voltage can make the energy stored in the capacitor form a discharge current, release energy for power support, and can be based on the capacitor of the photovoltaic power generation module (that is, the high-voltage side DC capacitor, such as C h ), the voltage of the photovoltaic power generation module (that is, the initial voltage on both sides of the high-voltage DC capacitor, such as U h0 ), proportionality coefficient (such as K p1 ) and the third inertia coefficient variable of the photovoltaic power generation module (such as K p2 ), construct the power generation inertia response model of the photovoltaic power generation module:

[0065]

[0066] Among them, ΔP cp Indicates the additional active output value of the photovoltaic power generation module.

[0067] In order to accurately construct a load inertia response model, in the distributed power generation control method of the power system provided in Example 1 of the present application, the voltage and current at each load node end of the power system are detected, and the preset power is determined based on the voltage and current; the load inertia response model is constructed based on the load proportional coefficient, the preset power, the system measured frequency and the system rated frequency.

[0068] Optionally, there are various types of load nodes on the power system, and the voltage and current at each load node on the power system can be detected, and the preset power (i.e., the power absorbed by the load at the rated frequency of the system, such as PLN ), and can be based on the load ratio coefficient (such as α0), preset power, system measurement frequency (such as f), and system rated frequency (such as f N ), construct the load inertia response model:

[0069]

[0070] Among them, P Load Represents the active power of the system's comprehensive load, α i Represents the proportion of the i-th type of load in the system, i = 0, 1, 2, ..., i, α0 + α1 + α2 + α3 + ... + α i =1.

[0071] In order to improve the accuracy of determining and constructing a distributed power generation control model, in the distributed power generation control method of the power system provided in Example 1 of the present application, a power balance model of the power system is constructed based on the active output value of each preset distributed power generation module; and a distributed power generation control model is constructed based on the power balance model, the load inertia response model and each power generation inertia response model.

[0072] Optionally, according to the law of conservation of energy, the change in load power is equal to the sum of the active output values ​​of each preset distributed generation module, so that a power balance model of the power system can be constructed:

[0073] ∑ΔP G +∑ΔP cw +∑ΔP cp =∑ΔP Load (6);

[0074] Among them, ΔP G Indicates the additional active output value of the generator power generation module, ΔP cw Indicates the additional active output value of the wind power generation module, ΔP cp Indicates the additional active output value of the photovoltaic power generation module, ΔP Load Indicates load power change.

[0075] In this embodiment, the active output value calculation formula of the power generation inertia response model of each preset distributed power generation module and the active output value calculation formula of the load inertia response model are substituted into the power balance model to obtain a distributed energy network aggregation support control model (i.e., a distributed power generation control model):

[0076]

[0077] In order to accurately determine the first preset inertia value and the first preset inertia coefficient of each preset distributed power generation module, in the distributed power generation control method of the power system provided in the first embodiment of the present application, the first preset kinetic energy of each preset distributed power generation module is calculated based on the current power value and the preset time interval; the mechanical angular velocity of the preset distributed power generation module is determined based on the frequency of the preset distributed power generation module, and the first preset inertia value of each preset distributed power generation module is determined based on the first preset kinetic energy and the mechanical angular velocity; the first preset inertia coefficient of each preset distributed power generation module is determined based on the first preset inertia value, the rated mechanical angular velocity and the rated capacity of the generator.

[0078] Optionally, the current power value (such as P i , i.e., the actual power generated by the distributed generation module at the ith location) and a preset time interval (e.g., Δτ=τ2-τ1), calculate the first preset kinetic energy (e.g., E i ):

[0079]

[0080] In this embodiment, kinetic energy and inertia (such as J i ) can be expressed as:

[0081]

[0082] Among them, ω i Indicates the mechanical angular velocity of the preset distributed generation module.

[0083] In this embodiment, the frequency of the distributed generation module can be preset (such as f i ), determine the mechanical angular velocity of the preset distributed generation module (such as ω i =2πf i ), and can determine the first preset inertia value (ie, the actual inertia value, such as J) of each preset distributed generation module according to the first preset kinetic energy and the mechanical angular velocity. i ):

[0084]

[0085] Among them, f N Indicates the rated frequency of the power system, Δf=f i -f N Indicates the frequency change value.

[0086] In this embodiment, according to the first preset inertia value, the rated mechanical angular velocity (such as ω0) and the rated capacity of the generator (such as S B ), the first preset inertia coefficient (i.e., the actual inertia coefficient, such as Ki ):

[0087]

[0088] In order to accurately determine the second preset inertia value of the preset distributed power generation module, in the distributed power generation control method of the power system provided in Example 1 of the present application, the power change value is determined, and based on the current power value, the power change value and the preset time interval, the second preset kinetic energy of the preset distributed power generation module is determined; based on the second preset kinetic energy and the mechanical angular velocity, the second preset inertia value is determined.

[0089] Optionally, when a sudden change in load power is detected, the power change value can be determined, and the grid dispatching and control center can set the power change value (such as ΔP) that each module of the distributed energy in the power system should bear according to the optimal allocation principle (that is, when the power system is disturbed, according to the system requirements and the capabilities of each module, to ensure the support of the system inertia for the frequency). i ), and according to the current power value (such as P i ), power change value and preset time interval (such as Δt=t2-t1), determine the second preset kinetic energy of the preset distributed generation module (such as ):

[0090]

[0091] Among them, P i new It indicates the new power value of the preset distributed generation module after the load power changes suddenly, P i new =P i +ΔP i .

[0092] In this embodiment, the second preset kinetic energy and mechanical angular velocity (such as ω i ), determine the second preset inertia value (such as ):

[0093]

[0094] Among them, ω i =2πf i , f i Indicates the actual frequency of the preset distributed generation module, f N Indicates the rated frequency of the power system, Δf=f i -f N Indicates the frequency change value.

[0095] Figure 2 is a flow chart of an optional distributed energy network aggregation support control method according to an embodiment of the present invention, such as Figure 2As shown, first, an inertia response model of each module of distributed energy can be constructed (i.e., a power generation inertia response model of each preset distributed power generation module is constructed), and a load inertia response model can be constructed, and then a distributed energy network aggregation support control model (i.e., a distributed power generation control model) can be constructed. When a disturbance occurs in the power system, the dispatching center monitors the power value of each node, and calculates the actual inertia value of each module (i.e., the first preset inertia value) according to the power value. At the same time, according to the distributed energy network aggregation support control model, the power grid dispatching center uniformly allocates the power change to be borne by each module, and calculates the ideal inertia value of each module (i.e., the second preset inertia value), and then compares whether the ideal inertia value is the same as the actual inertia value. If they are not the same, the least squares method can be used for iteration, and the actual inertia coefficient can be updated in each iteration. According to the updated actual inertia coefficient, the actual inertia value of each module is calculated again until the ideal inertia value is the same as the actual inertia value, so as to complete the support control of distributed energy network aggregation.

[0096] In an embodiment of the present invention, a power generation inertia response model and a load inertia response model of each preset distributed power generation module can be constructed. According to the constructed load inertia response model and power generation inertia response model, a distributed power generation control model can be constructed. Then, the current power value of each preset distributed power generation module can be monitored. According to the current power value, a first preset inertia value and a first preset inertia coefficient of each preset distributed power generation module can be determined. According to the current power value and the power change value, a second preset inertia value of each preset distributed power generation module can be determined. For each preset distributed power generation module, when the first preset inertia value is not equal to the second preset inertia value, the first preset inertia coefficient is iterated to obtain a target inertia coefficient corresponding to the preset distributed power generation module. Then, the target inertia coefficient is sent to the preset distributed power generation module through the distributed power generation control model to complete the control of all preset distributed power generation modules, thereby solving the technical problem in the related art that the inertia of distributed energy cannot be efficiently and uniformly controlled.

[0097] The following is a detailed description in conjunction with another embodiment.

[0098] Embodiment 2

[0099] A distributed power generation control device for a power system provided in this embodiment includes a plurality of implementation units, each of which corresponds to each implementation step in the above-mentioned first embodiment.

[0100] Figure 3 is a schematic diagram of an optional distributed power generation control device of an electric power system according to an embodiment of the present invention, such as Figure 3As shown, the distributed power generation control device of the power system may include: a first construction unit 30 , a second construction unit 31 , a determination unit 32 , and a processing unit 33 .

[0101] The first construction unit 30 is used to construct a power generation inertia response model of each preset distributed power generation module, wherein the preset distributed power generation module is a power generation module on the power system, and the preset distributed power generation module at least includes: a generator power generation module, a wind power generation module, and a photovoltaic power generation module;

[0102] The second construction unit 31 is used to construct a load inertia response model, and to construct a distributed generation control model based on the load inertia response model and the generation inertia response model;

[0103] A determination unit 32 is used to monitor the current power value of each preset distributed power generation module, determine the first preset inertia value and the first preset inertia coefficient of each preset distributed power generation module based on the current power value, and determine the second preset inertia value of each preset distributed power generation module based on the current power value and the power change value;

[0104] The processing unit 33 is used to iterate the first preset inertia coefficient for each preset distributed power generation module when the first preset inertia value is not equal to the second preset inertia value, obtain the target inertia coefficient corresponding to the preset distributed power generation module, and send the target inertia coefficient corresponding to the preset distributed power generation module to the preset distributed power generation module based on the distributed power generation control model to complete the control of all the preset distributed power generation modules.

[0105] The distributed power generation control device of the above-mentioned power system can construct a power generation inertia response model of each preset distributed power generation module through the first construction unit 30, construct a load inertia response model through the second construction unit 31, and construct a distributed power generation control model based on the load inertia response model and the power generation inertia response model, monitor the current power value of each preset distributed power generation module through the determination unit 32, determine the first preset inertia value and the first preset inertia coefficient of each preset distributed power generation module based on the current power value, and determine the second preset inertia value of each preset distributed power generation module based on the current power value and the power change value, and for each preset distributed power generation module, when the first preset inertia value is not equal to the second preset inertia value, iterate the first preset inertia coefficient through the processing unit 33 to obtain the target inertia coefficient corresponding to the preset distributed power generation module, and send the target inertia coefficient corresponding to the preset distributed power generation module to the preset distributed power generation module based on the distributed power generation control model to complete the control of all preset distributed power generation modules.

[0106] Optionally, the distributed power generation control device includes: a first determination module, used to determine the system frequency deviation based on the system measured frequency and the system rated frequency before constructing the power generation inertia response model of each preset distributed power generation module; a second determination module, used to determine the proportional coefficient between the system frequency deviation and the active output value of the photovoltaic power generation module based on the system frequency deviation.

[0107] Optionally, the first construction unit includes: a first construction module, used to construct a power generation inertia response model of the generator power generation module based on the system frequency deviation and the first inertia coefficient variable of the generator power generation module; a second construction module, used to construct a power generation inertia response model of the wind power generation module based on the system frequency deviation, the droop coefficient of the wind turbine power, and the second inertia coefficient variable of the wind power generation module; a third construction module, used to construct a power generation inertia response model of the photovoltaic power generation module based on the capacitance of the photovoltaic power generation module, the voltage of the photovoltaic power generation module, the proportional coefficient and the third inertia coefficient variable of the photovoltaic power generation module.

[0108] Optionally, the second construction unit includes: a third determination module, used to detect the voltage and current at each load node end on the power system, and determine the preset power based on the voltage and current; a fourth construction module, used to construct a load inertia response model based on the load proportional coefficient, preset power, system measurement frequency and system rated frequency.

[0109] Optionally, the second construction unit also includes: a fifth construction module, used to construct a power balance model of the power system based on the active output value of each preset distributed power generation module; a sixth construction module, used to construct a distributed power generation control model based on the power balance model, the load inertia response model and each power generation inertia response model.

[0110] Optionally, the determination unit includes: a first calculation module, used to calculate the first preset kinetic energy of each preset distributed power generation module based on the current power value and the preset time interval; a fourth determination module, used to determine the mechanical angular velocity of the preset distributed power generation module based on the frequency of the preset distributed power generation module, and determine the first preset inertia value of each preset distributed power generation module based on the first preset kinetic energy and the mechanical angular velocity; a fifth determination module, used to determine the first preset inertia coefficient of each preset distributed power generation module based on the first preset inertia value, the rated mechanical angular velocity and the rated capacity of the generator.

[0111] Optionally, the determination unit also includes: a sixth determination module, used to determine the power change value, and based on the current power value, the power change value and the preset time interval, determine the second preset kinetic energy of the preset distributed power generation module; a seventh determination module, used to determine the second preset inertia value based on the second preset kinetic energy and the mechanical angular velocity.

[0112] The distributed power generation control device of the above-mentioned power system may also include a processor and a memory. The above-mentioned first construction unit 30, second construction unit 31, determination unit 32, processing unit 33, etc. are all stored in the memory as program units, and the processor executes the above-mentioned program units stored in the memory to realize corresponding functions.

[0113] The processor includes a kernel, which retrieves the corresponding program unit from the memory. One or more kernels can be provided, and the control of all preset distributed generation modules can be completed by adjusting kernel parameters.

[0114] The above-mentioned memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash memory (fl ash RAM), and the memory includes at least one storage chip.

[0115] According to another aspect of an embodiment of the present invention, a computer program product is also provided, including a non-volatile computer-readable storage medium, the non-volatile computer-readable storage medium storing a computer program, and when the computer program is executed by a processor, implementing any of the above-mentioned distributed power generation control methods of the power system.

[0116] When the computer program product is executed on a data processing device, it is suitable for executing a program that is initialized with the following method steps: constructing a power generation inertia response model for each preset distributed power generation module, wherein the preset distributed power generation module is a power generation module on the power system, and the preset distributed power generation module at least includes: a generator power generation module, a wind power generation module, and a photovoltaic power generation module; constructing a load inertia response model, and constructing a distributed power generation control model based on the load inertia response model and the power generation inertia response model; monitoring the current power value of each preset distributed power generation module, determining a first preset inertia value and a first preset inertia coefficient of each preset distributed power generation module based on the current power value, and determining a second preset inertia value of each preset distributed power generation module based on the current power value and the power change value; for each preset distributed power generation module, when the first preset inertia value is not equal to the second preset inertia value, iterating the first preset inertia coefficient to obtain a target inertia coefficient corresponding to the preset distributed power generation module; based on the distributed power generation control model, sending the target inertia coefficient corresponding to the preset distributed power generation module to the preset distributed power generation module to complete the control of all preset distributed power generation modules.

[0117] According to another aspect of an embodiment of the present invention, there is also provided an electronic device, comprising one or more processors and a memory, wherein the memory is used to store one or more programs, wherein when the one or more programs are executed by one or more processors, the one or more processors implement the above-mentioned distributed power generation control method of the power system.

[0118] Figure 4 1 is a hardware structure block diagram of an electronic device (or mobile device) for a distributed power generation control method for a power system according to an embodiment of the present invention. Figure 4 As shown, the electronic device may include one or more processors (e.g., Figure 4 The processor 402a, processor 402b, ..., processor 402n, etc., which may include but are not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA, etc.), a memory 404 for storing data. In addition, it may also include: a display, an input / output interface (I / O interface), a universal serial bus (USB) port (which may be included as one of the ports of the I / O interface), a network interface, a keyboard, a power supply and / or a camera. It can be understood by those skilled in the art that Figure 4 The structure shown is only for illustration and does not limit the structure of the above electronic device. Figure 4 More or fewer components as shown, or with Figure 4 Different configurations shown.

[0119] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0120] The embodiments or examples of the present disclosure are not exhaustive, but are only illustrative of some embodiments or examples, and are not intended to be specific limitations on the scope of protection of the present disclosure. In the absence of contradiction, each step in a certain embodiment or example can be implemented as an independent example, and the steps can be combined arbitrarily. For example, the scheme after removing some steps in a certain embodiment or example can also be implemented as an independent example, and the order of the steps in a certain embodiment or example can be arbitrarily exchanged. In addition, the optional methods or optional examples in a certain embodiment or example can be combined arbitrarily; in addition, the various embodiments or examples can be combined arbitrarily, for example, some or all steps of different embodiments or examples can be combined arbitrarily, and a certain embodiment or example can be combined arbitrarily with the optional methods or optional examples of other embodiments or examples.

[0121] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0122] In the several embodiments provided by the present invention, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of the units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0123] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0124] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0125] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

[0126] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A distributed power generation control method for a power system, characterized in that: include: Constructing a power generation inertia response model for each preset distributed power generation module, wherein the preset distributed power generation module is a power generation module on the power system, and the preset distributed power generation module at least includes: a generator power generation module, a wind power generation module, and a photovoltaic power generation module; Constructing a load inertia response model, and constructing a distributed generation control model based on the load inertia response model and the generation inertia response model; Monitor the current power value of each of the preset distributed power generation modules, determine a first preset inertia value and a first preset inertia coefficient of each of the preset distributed power generation modules based on the current power value, and determine a second preset inertia value of each of the preset distributed power generation modules based on the current power value and the power change value; For each of the preset distributed power generation modules, when the first preset inertia value is not equal to the second preset inertia value, the first preset inertia coefficient is iterated to obtain the target inertia coefficient corresponding to the preset distributed power generation module, and based on the distributed power generation control model, the target inertia coefficient corresponding to the preset distributed power generation module is sent to the preset distributed power generation module to complete the control of all the preset distributed power generation modules.

2. The distributed power generation control method of the power system according to claim 1, characterized in that: Before building the generation inertia response model of each preset distributed generation module, including: Determine the system frequency deviation based on the system measured frequency and the system rated frequency; Based on the system frequency deviation, a proportionality coefficient between the system frequency deviation and the active output value of the photovoltaic power generation module is determined.

3. The distributed power generation control method of the power system according to claim 2, characterized in that: The steps of constructing a generation inertia response model for each preset distributed generation module include: Based on the system frequency deviation and the first inertia coefficient variable of the generator power generation module, construct the power generation inertia response model of the generator power generation module; Based on the system frequency deviation, the droop coefficient of the wind turbine power, and the second inertia coefficient variable of the wind power generation module, constructing the power generation inertia response model of the wind power generation module; The power generation inertia response model of the photovoltaic power generation module is constructed based on the capacitance of the photovoltaic power generation module, the voltage of the photovoltaic power generation module, the proportionality coefficient and the third inertia coefficient variable of the photovoltaic power generation module.

4. The distributed power generation control method of the power system according to claim 2, characterized in that: The steps to construct a load inertia response model include: Detecting the voltage and current at each load node on the power system, and determining a preset power based on the voltage and the current; The load inertia response model is constructed based on the load proportionality coefficient, the preset power, the system measurement frequency and the system rated frequency.

5. The distributed power generation control method of the power system according to claim 4, characterized in that: The step of constructing a distributed generation control model based on the load inertia response model and the generation inertia response model comprises: Constructing a power balance model of the power system based on the active output value of each of the preset distributed power generation modules; The distributed generation control model is constructed based on the power balance model, the load inertia response model and each of the generation inertia response models.

6. The distributed power generation control method of the power system according to claim 1, characterized in that: The step of determining a first preset inertia value and a first preset inertia coefficient of each preset distributed power generation module based on the current power value comprises: Calculating a first preset kinetic energy of each of the preset distributed power generation modules based on the current power value and the preset time interval; Determine the mechanical angular velocity of the preset distributed power generation module based on the frequency of the preset distributed power generation module, and determine the first preset inertia value of each of the preset distributed power generation modules based on the first preset kinetic energy and the mechanical angular velocity; The first preset inertia coefficient of each of the preset distributed power generation modules is determined based on the first preset inertia value, the rated mechanical angular velocity, and the rated capacity of the generator.

7. The distributed power generation control method of the power system according to claim 6, characterized in that: The step of determining a second preset inertia value of each preset distributed power generation module based on the current power value and the power change value comprises: Determine the power change value, and determine a second preset kinetic energy of the preset distributed power generation module based on the current power value, the power change value and the preset time interval; The second preset inertia value is determined based on the second preset kinetic energy and the mechanical angular velocity.

8. A distributed power generation control device for an electric power system, characterized in that: include: A first construction unit is used to construct a power generation inertia response model of each preset distributed power generation module, wherein the preset distributed power generation module is a power generation module on the power system, and the preset distributed power generation module at least includes: a generator power generation module, a wind power generation module, and a photovoltaic power generation module; A second construction unit is used to construct a load inertia response model, and to construct a distributed generation control model based on the load inertia response model and the generation inertia response model; a determination unit, configured to monitor a current power value of each of the preset distributed power generation modules, determine a first preset inertia value and a first preset inertia coefficient of each of the preset distributed power generation modules based on the current power value, and determine a second preset inertia value of each of the preset distributed power generation modules based on the current power value and the power change value; a processing unit, for iterating the first preset inertia coefficient for each of the preset distributed power generation modules when the first preset inertia value is not equal to the second preset inertia value, to obtain a target inertia coefficient corresponding to the preset distributed power generation module, and sending the target inertia coefficient corresponding to the preset distributed power generation module to the preset distributed power generation module based on the distributed power generation control model, so as to complete the control of all the preset distributed power generation modules.

9. A computer program product, characterized in that It comprises a non-volatile computer-readable storage medium, wherein the non-volatile computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the distributed power generation control method of the power system described in any one of claims 1 to 7 is implemented.

10. An electronic device, characterized in that: It includes one or more processors and a memory, wherein the memory is used to store one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement the distributed power generation control method of the power system described in any one of claims 1 to 7.

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