A cloud platform-based energy efficiency control system and method for power station ventilation and heat dissipation equipment

Abstract

The present invention discloses a cloud-based energy efficiency control system and method for power station ventilation and heat dissipation equipment, comprising a cloud platform, a first static frequency converter, a second static frequency converter, a plurality of pumped-storage units, ventilation and heat dissipation equipment, and a temperature monitoring device. The temperature monitoring device comprises a plurality of first temperature monitoring devices disposed near the first static frequency converter, a plurality of second temperature monitoring devices disposed near the second static frequency converter, and a plurality of third temperature monitoring devices disposed at each return air outlet. The cloud platform extracts characteristic values ​​based on the real-time temperature values ​​of the first, second, and third temperature monitoring devices, and controls the air volume of different zones of the ventilation and heat dissipation equipment based on the characteristic values. The present invention can adaptively adjust the operating mode of the ventilation and heat dissipation equipment according to the operating state of the static frequency converter, thereby improving energy efficiency while ensuring the ventilation and heat dissipation effect of the room where the equipment is located.

Description

Technical Field

[0001] The present invention relates to the field of power station monitoring technology, and in particular to a cloud platform-based energy efficiency control system and method for power station ventilation and heat dissipation equipment. Background Art

[0002] Pumped hydropower storage is the world's largest and most economical large-scale energy storage method, playing an important role in power grids for peak shaving, frequency regulation, phase modulation, energy storage, system backup, and black start functions. Pumped-storage power station unit starting methods include coaxial motor starting, asynchronous starting, back-to-back starting, semi-synchronous starting, coaxial turbine starting, and static inverter starting. Static inverter starting and back-to-back starting are the primary starting methods for pumping operations. In pumped-storage power stations, the operating mode of static inverters is typically fixed and cannot be adjusted to suit different starting tasks. Furthermore, static inverters are typically installed in the main transformer and auxiliary powerhouses of pumped-storage power stations. During operation, they generate a large amount of heat, creating a high temperature environment, requiring ventilation and cooling equipment to regulate the room environment. Existing ventilation and cooling equipment in pumped-storage power stations operates solely in a simple closed-loop temperature control mode. This is unable to address the uneven temperature distribution caused by the equipment layout in the main transformer and auxiliary powerhouses, nor can it adapt to the different operating modes of the static inverters. This can easily lead to poor ventilation and cooling performance and low energy efficiency.

[0003] Prior art invention patent CN113873827A proposes a hot air dehumidification device for an SFC rectifier cabinet assembly. The rectifier cabinet is internally provided with a dehumidification fan and a coolant tank. The dehumidification fan is internally provided with a transmission dehumidification mechanism. The coolant tank is fixedly connected to the bottom of the rectifier cabinet and is provided with a water-cooled circulation mechanism. By utilizing the idle contacts of the contactor in the rectifier cabinet of the variable frequency drive device as the starting node, the dehumidification mechanism can be activated. When the rectifier cabinet is not working, hot air dehumidification is activated, and when the rectifier cabinet is working, the rectifier cabinet stops working to prevent the temperature inside the cabinet from overheating. The hot air dehumidification device of the invention has a better dehumidification effect and a lifespan of 5-7 times that of a conventional heater + fan. In actual use, it can quickly increase the temperature and air circulation speed inside the cabinet. However, the invention does not adjust the operating mode of the ventilation and heat dissipation equipment according to the working state of the static inverter. Summary of the Invention

[0004] Purpose of the invention: In response to the above problems, the present invention proposes a cloud platform-based energy efficiency control system and method for power station ventilation and heat dissipation equipment.

[0005] Technical solution:

[0006] In the first aspect, the present invention proposes an energy efficiency control system for ventilation and heat dissipation equipment in power stations based on a cloud platform.

[0007] It includes a cloud platform, a first static frequency converter, a second static frequency converter, several pumped storage units, ventilation and heat dissipation equipment, and a temperature monitoring device;

[0008] Preferably, the temperature monitoring device includes a plurality of first temperature monitoring devices arranged near the first static frequency converter, a plurality of second temperature monitoring devices arranged near the second static frequency converter, and a plurality of third temperature monitoring devices arranged at each return air outlet;

[0009] The cloud platform determines the type of unit startup task. If it is determined to be an emergency task, it controls the first and second static frequency converters to start the unit simultaneously. If it is determined to be a non-emergency task, it controls the first and second static frequency converters to start the unit in turn.

[0010] The cloud platform also extracts characteristic values ​​based on the real-time temperature values ​​of the first temperature monitoring device, the second temperature monitoring device, and the third temperature monitoring device, and controls the air volume of different partitions of the ventilation and heat dissipation equipment based on the characteristic values.

[0011] Preferably, the cloud platform includes a characteristic value calculation module for calculating the first temperature index value based on the high value of the first temperature monitoring device, the high value of the second temperature monitoring device, and the average value of the third temperature monitoring device, and calculating the first characteristic value based on the first temperature index value and the preset temperature index value;

[0012] The characteristic value calculation module is further used to calculate the second characteristic value according to the high value of the first temperature monitoring device and the high value of the second temperature monitoring device.

[0013] Preferably, the first static frequency converter and the second static frequency converter are arranged in a room in the main transformer auxiliary plant;

[0014] The first static frequency converter and the second static frequency converter are used to perform variable frequency starting on a plurality of energy storage units;

[0015] The ventilation and heat dissipation equipment is used to ventilate and dissipate heat in the rooms of the main transformer auxiliary plant where the first static frequency converter and the second static frequency converter are located.

[0016] Preferably, if a fault occurs in the first static frequency converter and causes the unit to fail to start, the second static frequency converter completes the startup task and then re-executes the failed startup task;

[0017] If a fault occurs in the second static frequency converter and the unit fails to start, the first static frequency converter will complete the startup task and then re-execute the failed startup task.

[0018] Preferably, when it is determined to be an emergency task, controlling the first static frequency converter and the second static frequency converter to start the units simultaneously includes: the pumped storage power station is a six-unit pumped storage power station,

[0019] The first static frequency converter starts unit 1, while the second static frequency converter starts unit 2;

[0020] The first static frequency converter starts unit 3, while the second static frequency converter starts unit 4;

[0021] The first static frequency converter starts unit 5, and the second static frequency converter starts unit 6 at the same time.

[0022] Preferably, when it is determined that the task is non-emergency, controlling the first static frequency converter and the second static frequency converter to start the units in turn includes: the pumped storage power station is a six-unit pumped storage power station,

[0023] The first static frequency converter starts unit 1 while the second static frequency converter is on standby;

[0024] The second static frequency converter starts unit 2 while the first static frequency converter is on standby;

[0025] The first static frequency converter starts unit 3 while the second static frequency converter is on standby;

[0026] The second static frequency converter starts unit 4 while the first static frequency converter is on standby;

[0027] The first static frequency converter starts unit 5 while the second static frequency converter is on standby;

[0028] The second static frequency converter starts unit 6 and the first static frequency converter is on standby.

[0029] In a second aspect, the present invention further provides a cloud platform-based method for controlling energy efficiency of ventilation and heat dissipation equipment in power plants, comprising:

[0030] S1. The cloud platform determines the task type of the pumped storage power station and determines the corresponding unit startup mode according to the task type; if it is an emergency task, it proceeds to step S2; otherwise, it proceeds to step S3;

[0031] S2, controlling the first static frequency converter and the second static frequency converter to start the unit simultaneously;

[0032] S3, controlling the first static frequency converter and the second static frequency converter to start the units in turn;

[0033] S4. The cloud platform performs fault diagnosis and processing on the static inverter that performs the startup task, including: the first static inverter and the second static inverter serve as the master and backup for each other. If the failure of the master static inverter causes the unit startup task to be interrupted, it is first determined whether the continuous working time of the backup static inverter exceeds the preset time. If not, the backup static inverter continues to perform the interrupted startup task after completing its own startup task. If so, it waits for the standby static inverter's intermittent time to end before continuing to perform the interrupted startup task.

[0034] S5. The cloud platform selects the working mode of the ventilation and cooling system according to the task type;

[0035] S6. The cloud platform selects the working mode of the ventilation and cooling system according to the fault status of the static inverter.

[0036] Preferably, the step S5 further includes:

[0037] S51: If the startup task is an emergency task, the working mode of the ventilation and cooling system is adjusted to the enhanced mode, including: calculating a first temperature index value T1:

[0038] T1=T A +T B +T C Where T A is the high value of all the monitoring values ​​of the first temperature monitoring device, T B is the high value of all the monitoring values ​​of the second temperature monitoring device, T C is the average value of the monitoring values ​​of all third temperature monitoring devices;

[0039] Record T1 rising from the initial value to the first threshold T h1 The time consumed t h1 , which is the first eigenvalue, and the steady-state value T when T1 reaches a stable state s1 ;

[0040] Judge t h1 With the preset value t 01 The size relationship, if t h1 Greater than or equal to t 01 , the air volume remains unchanged;

[0041] If t h1 Less than t 01 , then the air volume change value of the ventilation and cooling system is adjusted to:

[0042] Δv=α1*(t 01 -t h1 )

[0043] Where α1 is a dimension parameter;

[0044] At T1, it reaches the steady-state value T s1 When calculating the high value T A and T B The mean T AB , which is the second eigenvalue, judge T AB Is it greater than or equal to the preset value T0?

[0045] If so, continue to increase the air volume. The change in air volume is:

[0046] Δv=β1*(TAB -T0)

[0047] If T AB If it is less than T0, the air volume remains unchanged; β1 is a dimensional parameter.

[0048] Preferably, the step S5 further includes:

[0049] S52: If the startup task is not an emergency task, the working mode of the ventilation and cooling system is adjusted to the partition mode, including: calculating the first temperature index value T2:

[0050] T2=T A2 +T B2 +T C

[0051] Where T A2 is the average value of all monitoring values ​​of the first temperature monitoring device, T B2 is the average value of all monitoring values ​​of the second temperature monitoring device, T C is the average value of the monitoring values ​​of all third temperature monitoring devices;

[0052] Record T2 rising from the initial value to the first threshold T h2 The time consumed t h2 , which is the first eigenvalue, and the steady-state value T when T2 reaches a stable state s2 ;

[0053] Judge t h2 With the preset value t 02 The size relationship, if t h2 Greater than or equal to t 02 , the air volume remains unchanged;

[0054] If t h2 Less than t 02 , then the air volume change value of the ventilation and cooling system is adjusted to:

[0055] Δv=α2*(t 02 -t h2 )

[0056] At T2, the steady-state value T s2 When the high value T of all monitoring values ​​of the first temperature monitoring device is recorded A , judge T A Is it greater than or equal to the preset value T a0 ;

[0057] If yes, continue to increase the air volume of the partition where the first static inverter is located. The change in air volume is:

[0058] Δv=β2*(T A -T a0 ) If TA Less than T a0 , the air volume remains unchanged;

[0059] At T2, the steady-state value T s2 When the second temperature monitoring device has all the monitoring values, the high value T is recorded. B , judge T B Is it greater than or equal to the preset value T b0 ;

[0060] If yes, continue to increase the air volume in the partition where the second static inverter is located. The change in air volume is:

[0061] Δv=β2*(T B -T b0 )

[0062] If T B Less than T b0 , the air volume remains unchanged; α2 and β2 are dimensional parameters.

[0063] In a third aspect, the present invention further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps in the cloud platform-based power station ventilation and heat dissipation equipment energy efficiency control method.

[0064] The present invention has the following beneficial effects compared to the prior art:

[0065] 1. The present invention analyzes the tasks of the pumped-storage power station through a cloud platform and selects different startup strategies according to the task type. In the face of emergency tasks, the unit can be started quickly to save time. In the face of non-emergency tasks, the main and standby static inverters are used in turn, which can extend the life of the equipment.

[0066] 2. The present invention controls ventilation and heat dissipation in the main transformer and auxiliary plant rooms where two static frequency converters are installed. Different ventilation and heat dissipation working modes are adaptively set for different unit startup task types, avoiding the problems of poor ventilation and heat dissipation effects or energy waste caused by only using one working mode in the prior art.

[0067] 3. The cloud platform of the present invention performs feedback adjustment on each working mode of the ventilation and heat dissipation equipment. Based on multiple temperature values ​​around the two static inverters and the temperature value of each return air outlet, the first eigenvalue and the second eigenvalue are analyzed and calculated, thereby adjusting and controlling the air volume of the ventilation and heat dissipation equipment, which can improve energy efficiency while ensuring the ventilation and heat dissipation effect of the room.

[0068] 4. When the startup task of the unit is interrupted due to a failure of the main static inverter, the present invention first determines whether the continuous working time of the backup static inverter exceeds the preset time, thereby avoiding the continuous working time of the backup static inverter being too long, protecting the equipment and reducing the probability of failure of both static inverters. BRIEF DESCRIPTION OF THE DRAWINGS

[0069] Figure 1 A schematic diagram of the structure of a cloud platform-based energy efficiency control system for ventilation and heat dissipation equipment in power plants provided by an embodiment of the present invention;

[0070] Figure 2 A flow chart of a cloud platform-based method for controlling energy efficiency of ventilation and heat dissipation equipment in power plants according to an embodiment of the present invention;

[0071] Figure 3 A flowchart of a method for a cloud platform to select a working mode of a ventilation and cooling system according to a task type provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0072] Obviously, many modifications and variations made by those skilled in the art based on the purpose of the present invention fall within the protection scope of the present invention.

[0073] It will be understood by those skilled in the art that, unless otherwise stated, the singular forms "a", "an", "said" and "the" used herein may also include plural forms. It should be further understood that the term "comprising" used in the specification of the present invention refers to the presence of the features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or groups thereof. It should be understood that when an element or component is said to be "connected" to another element or component, it can be directly connected to the other element or component, or there may be intermediate elements or components. The term "and / or" used herein includes any unit and all combinations of one or more associated listed items.

[0074] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying 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 making creative efforts shall fall within the scope of protection of the present invention.

[0075] Example 1:

[0076] The embodiment of the present invention provides a cloud platform-based power station ventilation and heat dissipation equipment energy efficiency control system. For details, please refer to Figure 1 , Figure 1 This is a schematic diagram of the structure of a cloud-based power station ventilation and heat dissipation equipment energy efficiency control system provided by an embodiment of the present invention. The system includes:

[0077] Cloud platform, first static frequency converter, second static frequency converter, several pumped storage units, ventilation and heat dissipation equipment, and temperature monitoring device;

[0078] The temperature monitoring device includes a plurality of first temperature monitoring devices arranged near the first static frequency converter, a plurality of second temperature monitoring devices arranged near the second static frequency converter, and a plurality of third temperature monitoring devices arranged at each return air outlet;

[0079] The cloud platform determines the type of unit startup task. If it is determined to be an emergency task, it controls the first and second static frequency converters to start the unit simultaneously. If it is determined to be a non-emergency task, it controls the first and second static frequency converters to start the unit in turn.

[0080] The cloud platform also extracts characteristic values ​​based on the real-time temperature values ​​of the first temperature monitoring device, the second temperature monitoring device, and the third temperature monitoring device, and controls the air volume of different partitions of the ventilation and heat dissipation equipment based on the characteristic values.

[0081] The cloud platform includes a characteristic value calculation module for calculating a first temperature index value based on a high value of the first temperature monitoring device, a high value of the second temperature monitoring device, and an average value of the third temperature monitoring device, and calculating a first characteristic value based on the first temperature index value and a preset temperature index value;

[0082] The characteristic value calculation module is further used to calculate the second characteristic value according to the high value of the first temperature monitoring device and the high value of the second temperature monitoring device.

[0083] The first static frequency converter and the second static frequency converter are arranged in a room of the main transformer auxiliary plant;

[0084] The first static frequency converter and the second static frequency converter are used to perform variable frequency starting on a plurality of energy storage units;

[0085] The ventilation and heat dissipation equipment is used to ventilate and dissipate heat in the rooms of the main transformer auxiliary plant where the first static frequency converter and the second static frequency converter are located.

[0086] If the first static frequency converter fails and causes the unit to fail to start, the second static frequency converter will complete the startup task and then re-execute the failed startup task;

[0087] If a fault occurs in the second static frequency converter and the unit fails to start, the first static frequency converter will complete the startup task and then re-execute the failed startup task.

[0088] Wherein, when it is determined to be an emergency task, the first static frequency converter and the second static frequency converter are controlled to start the units simultaneously, including: the pumped storage power station is a six-unit pumped storage power station,

[0089] The first static frequency converter starts unit 1, while the second static frequency converter starts unit 2;

[0090] The first static frequency converter starts unit 3, while the second static frequency converter starts unit 4;

[0091] The first static frequency converter starts unit 5, and the second static frequency converter starts unit 6 at the same time.

[0092] Wherein, when it is determined to be a non-emergency task, the first static frequency converter and the second static frequency converter are controlled to start the units in turn, including: the pumped storage power station is a six-unit pumped storage power station,

[0093] The first static frequency converter starts unit 1 while the second static frequency converter is on standby;

[0094] The second static frequency converter starts unit 2 while the first static frequency converter is on standby;

[0095] The first static frequency converter starts unit 3 while the second static frequency converter is on standby;

[0096] The second static frequency converter starts unit 4 while the first static frequency converter is on standby;

[0097] The first static frequency converter starts unit 5 while the second static frequency converter is on standby;

[0098] The second static frequency converter starts unit 6 and the first static frequency converter is on standby.

[0099] In this working mode, the present invention enables two static frequency converters to work in turns, avoiding excessive load and heat generation on one device, resulting in uneven temperature collection and poor ventilation and heat dissipation effects; it can also prevent the equipment from working continuously for a long time, thereby reducing the equipment failure rate.

[0100] Example 2:

[0101] The embodiment of the present invention also provides a method for controlling energy efficiency of ventilation and heat dissipation equipment in power plants based on a cloud platform. Figure 2 , Figure 2 A flow chart of a cloud-based platform-based method for controlling energy efficiency of ventilation and heat dissipation equipment in power plants according to an embodiment of the present invention includes the following steps:

[0102] S1. The cloud platform determines the task type of the pumped storage power station and determines the corresponding unit startup mode according to the task type; if it is an emergency task, it proceeds to step S2; otherwise, it proceeds to step S3;

[0103] S2, controlling the first static frequency converter and the second static frequency converter to start the unit simultaneously;

[0104] Among them, S2 includes:

[0105] The pumped storage power station is a six-unit pumped storage power station.

[0106] The first static frequency converter starts unit 1, while the second static frequency converter starts unit 2;

[0107] The first static frequency converter starts unit 3, while the second static frequency converter starts unit 4;

[0108] The first static frequency converter starts unit 5, while the second static frequency converter starts unit 6;

[0109] S3, controlling the first static frequency converter and the second static frequency converter to start the units in turn;

[0110] Among them, S3 includes:

[0111] The pumped storage power station is a six-unit pumped storage power station.

[0112] The first static frequency converter starts unit 1 while the second static frequency converter is on standby;

[0113] The second static frequency converter starts unit 2 while the first static frequency converter is on standby;

[0114] The first static frequency converter starts unit 3 while the second static frequency converter is on standby;

[0115] The second static frequency converter starts unit 4 while the first static frequency converter is on standby;

[0116] The first static frequency converter starts unit 5 while the second static frequency converter is on standby;

[0117] The second static frequency converter starts unit 6 while the first static frequency converter is on standby;

[0118] S4. The cloud platform performs fault diagnosis and processing on the static inverter that performs the startup task, including: the first static inverter and the second static inverter serve as the master and backup for each other. If the failure of the master static inverter causes the unit startup task to be interrupted, it is first determined whether the continuous working time of the backup static inverter exceeds the preset time. If not, the backup static inverter continues to perform the interrupted startup task after completing its own startup task. If so, it waits for the standby static inverter's intermittent time to end before continuing to perform the interrupted startup task.

[0119] S5. The cloud platform selects the working mode of the ventilation and cooling system according to the task type;

[0120] Please refer to Figure 3 , Figure 3 A flowchart of a method for selecting a working mode of a ventilation and cooling system according to a task type on a cloud platform provided in an embodiment of the present invention, wherein step S5 further includes:

[0121] S51: If the startup task is an emergency task, the working mode of the ventilation and cooling system is adjusted to the enhanced mode, including: calculating a first temperature index value T1:

[0122] T1=T A +T B +T C

[0123] Where T A is the high value of all the monitoring values ​​of the first temperature monitoring device, T B is the high value of all the monitoring values ​​of the second temperature monitoring device, T C is the average value of the monitoring values ​​of all third temperature monitoring devices;

[0124] Record T1 rising from the initial value to the first threshold T h1 The time consumed t h1 , which is the first eigenvalue, and the steady-state value T when T1 reaches a stable state s1 ;

[0125] Judge t h1 With the preset value t 01 The size relationship, if t h1 Greater than or equal to t 01 , the air volume remains unchanged;

[0126] If t h1 Less than t 01 , then the air volume change value of the ventilation and cooling system is adjusted to:

[0127] Δv=α1*(t 01 -t h1 )

[0128] Where α1 is a dimension parameter;

[0129] At T1, it reaches the steady-state value T s1 When calculating the high value T A and T B The mean T AB , which is the second eigenvalue, judge T AB Is it greater than or equal to the preset value T0?

[0130] If so, continue to increase the air volume. The change in air volume is:

[0131] Δv=β1*(T AB -T0)

[0132] If T AB If it is less than T0, the air volume remains unchanged; β1 is a dimensional parameter.

[0133] Among them, the high value is the arithmetic mean of the data of the highest preset proportion in the monitored real-time values; it can be the arithmetic mean of the highest 10% or 5% of the data in the monitored real-time values; when considering the selection of temperature indicators, the present invention does not simply add up the temperature monitoring values ​​set around the first static inverter, the second static inverter and the return air outlet, but takes into account that the temperature around the first static inverter and the second static inverter is higher, and their ambient temperature can better reflect the actual control effect of the ventilation and heat dissipation equipment. Therefore, it is more reasonable to calculate the temperature index value by comprehensively considering the high value of the temperature value around the first static inverter and the second static inverter and the average value of the temperature monitoring value set at the return air outlet.

[0134] Wherein, the step S5 further includes:

[0135] S52: If the startup task is not an emergency task, the working mode of the ventilation and cooling system is adjusted to the partition mode, including: calculating the first temperature index value T2:

[0136] T2=T A2 +T B2 +T C

[0137] Where T A2 is the average value of all monitoring values ​​of the first temperature monitoring device, T B2 is the average value of all monitoring values ​​of the second temperature monitoring device, T C is the average value of the monitoring values ​​of all third temperature monitoring devices;

[0138] Record T2 rising from the initial value to the first threshold T h2 The time consumed t h2 , which is the first eigenvalue, and the steady-state value T when T2 reaches a stable state s2 ;

[0139] Judge t h2 With the preset value t 02 The size relationship, if t h2 Greater than or equal to t 02 , the air volume remains unchanged;

[0140] If t h2 Less than t 02 , then the air volume change value of the ventilation and cooling system is adjusted to:

[0141] Δv=α2*(t 02 -t h2 )

[0142] At T2, the steady-state value Ts2 When the high value T of all monitoring values ​​of the first temperature monitoring device is recorded A , judge T A Is it greater than or equal to the preset value T a0 ;

[0143] If yes, continue to increase the air volume of the partition where the first static inverter is located. The change in air volume is:

[0144] Δv=β2*(T A -T a0 )

[0145] If T A Less than T a0 , the air volume remains unchanged;

[0146] At T2, the steady-state value T s2 When the second temperature monitoring device has all the monitoring values, the high value T is recorded. B , judge T B Is it greater than or equal to the preset value T b0 ;

[0147] If yes, continue to increase the air volume in the partition where the second static inverter is located. The change in air volume is:

[0148] Δv=β2*(T B -T b0 )

[0149] If T B Less than T b0 , the air volume remains unchanged; α2 and β2 are dimensional parameters.

[0150] The ventilation and heat dissipation system of the present invention is adjusted adaptively rather than rigidly using the same air volume. In this way, it can be adjusted specifically according to environmental conditions to achieve good ventilation and heat dissipation effects and improve energy efficiency.

[0151] Furthermore, when dynamically adjusting the air volume, the present application adopts a hierarchical and segmented adjustment mode, first making preliminary adjustments based on the temperature rise rate, and then making further adjustments based on the high value of the temperature near the equipment when the heat source equipment reaches a steady state, which has better adaptability.

[0152] Moreover, the regulation method of this application is different from the conventional PID feedback regulation. For example, in t h1 Greater than or equal to t 01 , and T g When it is less than T0, the air volume is not reduced but maintained unchanged. This is because the feedback adjustment lag of the ventilation and heat dissipation system is taken into account, and the ventilation and heat dissipation effect is prioritized to avoid excessively high indoor ambient temperature due to too low air volume, which is not conducive to equipment health.

[0153] S6. The cloud platform selects the working mode of the ventilation and cooling system according to the fault status of the static inverter.

[0154] Wherein, step S6 includes:

[0155] If the static inverter fails, the working mode of the ventilation and cooling system is adjusted to the fault mode;

[0156] When both static inverters are in good working order, the first and second static inverters serve as the master and backup for each other. When a static inverter fails during operation, the other static inverter adjusts to the non-master static inverter. That is, when a failure occurs, the static inverter that can still work is called the master static inverter. At this time:

[0157] Calculate the first temperature index value T3:

[0158] T3=T 主 +T 备2 +T C

[0159] Where T 主 The high value of all monitoring values ​​of the temperature monitoring device near the main static inverter, T 备2 is the average value of all monitoring values ​​of the standby temperature monitoring device, T C is the average value of all monitoring values ​​of the third temperature monitoring device;

[0160] Record T3 rising from the initial value to the first threshold T h3 The time consumed t h3 , which is the first eigenvalue, and the steady-state value T when T3 reaches a stable state s3 ;

[0161] Judge t h3 With the preset value t 03 The size relationship, if t h3 Greater than or equal to t 03 , the air volume remains unchanged;

[0162] If t h3 Less than t 03 , then the air volume change value of the ventilation and cooling system is adjusted to:

[0163] Δv=α3*(t 03 -t h3 )

[0164] At T3, the steady-state value T s3 When the temperature monitoring device near the main static inverter is set to 0, the high value T of all monitoring values ​​is recorded. 主 , judge T 主 Is it greater than or equal to the preset value T 主0 ;

[0165] If so, continue to increase the air volume of the partition where the main static inverter is located. The change in air volume is:

[0166] Δv=β3*(T 主 -T 主0 )

[0167] If T A Less than T a0 , the air volume remains unchanged; α3 and β3 are dimensional parameters.

[0168] In addition, the method further includes step S7, wherein after all units are started up, the air volume is reduced, and closed-loop regulation is performed using the average value of all real-time values ​​of the first temperature monitoring device, the second temperature monitoring device, and the third temperature monitoring device as a feedback value.

[0169] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from the other embodiments. Reference can be made to the descriptions of the identical or similar parts between the various embodiments. For the devices disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the descriptions are relatively simple, and the relevant parts can be referred to the descriptions of the methods.

[0170] Professionals may further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the above description has generally described the components and steps of each example according to their functions. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0171] Finally, it should be noted that, in this document, relationships such as first and second, etc., are used solely to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

Claims

1. A cloud platform-based method for controlling energy efficiency of ventilation and heat dissipation equipment in power plants, characterized in that: The method includes: S1. The cloud platform determines the task type of the pumped storage power station and determines the corresponding unit startup mode according to the task type; if it is an emergency task, it proceeds to step S2; otherwise, it proceeds to step S3; S2, controlling the first static frequency converter and the second static frequency converter to start the unit simultaneously; S3, controlling the first static frequency converter and the second static frequency converter to start the units in turn; S4. The cloud platform performs fault diagnosis and processing on the static inverter that performs the startup task, including: the first static inverter and the second static inverter serve as the master and backup for each other. If the failure of the master static inverter causes the unit startup task to be interrupted, it is first determined whether the continuous working time of the backup static inverter exceeds the preset time. If not, the backup static inverter continues to perform the interrupted startup task after completing its own startup task. If so, it waits for the standby static inverter's intermittent time to end before continuing to perform the interrupted startup task. S5. The cloud platform selects the working mode of the ventilation and cooling system based on the task type, including: S51: If the startup task is an emergency task, the working mode of the ventilation and cooling system is adjusted to the enhanced mode, including: calculating a first temperature index value T1: T1=T A +T B +T C Where T A is the high value of all the monitoring values ​​of the first temperature monitoring device, T B is the high value of all the monitoring values ​​of the second temperature monitoring device, T C is the average value of the monitoring values ​​of all third temperature monitoring devices; wherein, a plurality of first temperature monitoring devices are arranged near the first static frequency converter, a plurality of second temperature monitoring devices are arranged near the second static frequency converter, and a plurality of third temperature monitoring devices are arranged at each return air outlet; Record T1 rising from the initial value to the first threshold T h1 The time consumed t h1 , which is the first eigenvalue, and the steady-state value T when T1 reaches a stable state s1 ; Judge t h1 With the preset value t 01 The size relationship, if t h1 Greater than or equal to t 01 , the air volume remains unchanged; If t h1 Less than t 01 , then the air volume change value of the ventilation and cooling system is adjusted to: △v=α1*(t 01 -t h1 ) Where α1 is a dimension parameter; At T1, the steady-state value T s1 When calculating the high value T A and T B The mean T AB , which is the second eigenvalue, judge T AB Is it greater than or equal to the preset value T0? If so, continue to increase the air volume. The change in air volume is: △v=β1*(T AB -T0) If T AB If it is less than T0, the air volume remains unchanged; where β1 is a dimensional parameter; S6. The cloud platform selects the working mode of the ventilation and cooling system according to the fault status of the static inverter.

2. The cloud platform-based power station ventilation and heat dissipation equipment energy efficiency control method according to claim 1 is characterized in that: Step S5 further includes: S52: If the startup task is not an emergency task, the working mode of the ventilation and cooling system is adjusted to the partition mode, including: calculating the first temperature index value T2: T2=T A2 +T B2 +T C Where T A2 is the average value of all monitoring values ​​of the first temperature monitoring device, T B2 is the average value of all monitoring values ​​of the second temperature monitoring device, T C is the average value of the monitoring values ​​of all third temperature monitoring devices; Record T2 rising from the initial value to the first threshold T h2 The time consumed t h2 , which is the first eigenvalue, and the steady-state value T when T2 reaches a stable state s2 ; Judge t h2 With the preset value t 02 The size relationship, if t h2 Greater than or equal to t 02 , the air volume remains unchanged; If t h2 Less than t 02 , then the air volume change value of the ventilation and cooling system is adjusted to: △v=α2*(t 02 -t h2 ) At T2, the steady-state value T s2 When the high value T of all monitoring values ​​of the first temperature monitoring device is recorded A , judge T A Is it greater than or equal to the preset value T a0 ; If yes, continue to increase the air volume of the partition where the first static inverter is located. The change in air volume is: Δv=β2*(T A -T a0 ) If T A Less than T a0 , the air volume remains unchanged; At T2, the steady-state value T s2 When the second temperature monitoring device has all the monitoring values, the high value T is recorded. B , judge T B Is it greater than or equal to the preset value T b0 ; If yes, continue to increase the air volume in the partition where the second static inverter is located. The change in air volume is: Δv=β2*(T B -T b0 ) If T B Less than T b0 , the air volume remains unchanged; α2 and β2 are dimensional parameters.

3. A cloud platform-based power station ventilation and heat dissipation equipment energy efficiency control system, using the cloud platform-based power station ventilation and heat dissipation equipment energy efficiency control method according to claim 1 or 2, comprising a cloud platform, a first static frequency converter, a second static frequency converter, a plurality of pumped storage units, ventilation and heat dissipation equipment, and a temperature monitoring device; characterized in that: The temperature monitoring device includes multiple first temperature monitoring devices arranged near the first static frequency converter, multiple second temperature monitoring devices arranged near the second static frequency converter, and multiple third temperature monitoring devices arranged at each return air outlet; the cloud platform determines the type of the unit startup task, and when it is determined to be an emergency task, controls the first static frequency converter and the second static frequency converter to start the unit at the same time; when it is determined to be a non-emergency task, controls the first static frequency converter and the second static frequency converter to start the unit in turn; the cloud platform also extracts characteristic values ​​based on the real-time temperature values ​​of the first temperature monitoring device, the second temperature monitoring device and the third temperature monitoring device, and controls the air volume of different partitions of the ventilation and heat dissipation equipment based on the characteristic values.

4. The cloud platform-based power station ventilation and heat dissipation equipment energy efficiency control system according to claim 3 is characterized in that: The cloud platform includes a characteristic value calculation module, which is used to calculate the first temperature index value based on the high value of the first temperature monitoring device, the high value of the second temperature monitoring device and the average value of the third temperature monitoring device, and calculate the first characteristic value based on the first temperature index value and the preset temperature index value; the characteristic value calculation module is also used to calculate the second characteristic value based on the high value of the first temperature monitoring device and the high value of the second temperature monitoring device.

5. The cloud platform-based power station ventilation and heat dissipation equipment energy efficiency control system according to claim 4 is characterized in that: The first static frequency converter and the second static frequency converter are arranged in a room in the main transformer auxiliary plant; The first static frequency converter and the second static frequency converter are used to perform variable frequency starting on a plurality of energy storage units; The ventilation and heat dissipation equipment is used to ventilate and dissipate heat in the rooms of the main transformer auxiliary plant where the first static frequency converter and the second static frequency converter are located.

6. The cloud platform-based power station ventilation and heat dissipation equipment energy efficiency control system according to claim 5, characterized in that: If the first static frequency converter fails and causes the unit to fail to start, the second static frequency converter will complete the startup task and then re-execute the failed startup task; If a fault occurs in the second static frequency converter and the unit fails to start, the first static frequency converter will complete the startup task and then re-execute the failed startup task.

7. The cloud platform-based power station ventilation and heat dissipation equipment energy efficiency control system according to claim 6, characterized in that: When it is determined to be an emergency task, the first static frequency converter and the second static frequency converter are controlled to start the units simultaneously, including: the pumped storage power station is a six-unit pumped storage power station, The first static frequency converter starts unit 1, while the second static frequency converter starts unit 2; The first static frequency converter starts unit 3, while the second static frequency converter starts unit 4; The first static frequency converter starts unit 5, and the second static frequency converter starts unit 6 at the same time.

8. The cloud platform-based power station ventilation and heat dissipation equipment energy efficiency control system according to claim 7, characterized in that: When it is determined to be a non-emergency task, the first static frequency converter and the second static frequency converter are controlled to start the units in turn, including: the pumped storage power station is a six-unit pumped storage power station, The first static frequency converter starts unit 1 while the second static frequency converter is on standby; The second static frequency converter starts unit 2 while the first static frequency converter is on standby; The first static frequency converter starts unit 3 while the second static frequency converter is on standby; The second static frequency converter starts unit 4 while the first static frequency converter is on standby; The first static frequency converter starts unit 5 while the second static frequency converter is on standby; The second static frequency converter starts unit 6 and the first static frequency converter is on standby.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the cloud platform-based power station ventilation and heat dissipation equipment energy efficiency control method according to any one of claims 1 to 2 are implemented.

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