Power station ventilation and heat dissipation equipment energy efficiency control system and method based on cloud platform
Through the energy efficiency control system of the power station ventilation and cooling equipment based on the cloud platform, the air volume of the ventilation and cooling equipment is dynamically adjusted, which solves the problem of uneven temperature distribution and low energy efficiency of the pumped storage power station ventilation and cooling equipment under different working modes of the stationary inverter, and achieves a more efficient ventilation and cooling effect.
Patent Information
- Application Number
- CN202510446725.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-10
- Publication Date
- 2025-06-27
- Estimated Expiration
- 2045-04-10
AI Technical Summary
The existing ventilation and heat dissipation equipment of pumped storage power stations cannot effectively deal with the problems of uneven temperature distribution and low energy efficiency in different working modes of stationary inverters.
The energy efficiency control system of the power station ventilation and cooling equipment based on the cloud platform is adopted to judge the unit start task type through the cloud platform, control the startup mode of the stationary inverter, and extract the characteristic values according to the real-time temperature values of multiple temperature monitoring devices, and dynamically adjust the air volume of the ventilation and cooling equipment.
The working mode of ventilation and heat dissipation equipment is realized according to the starting task type and temperature distribution of different units, which improves energy efficiency and avoids the problems of poor ventilation and heat dissipation effects and equipment overload.
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Figure CN120224652A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of power station monitoring, and particularly to an energy efficiency control system and method for a power station ventilation and heat dissipation device based on a cloud platform. Background Art
[0002] Pumped storage is the largest and most economical large-scale energy storage method in the world today, playing important roles such as peak shaving, frequency modulation, phase modulation, energy storage, system standby, and black start in the power grid. The unit starting methods of pumped storage power stations include coaxial motor starting, asynchronous starting, back-to-back starting, semi-synchronous starting, coaxial turbine starting, and static frequency converter starting. Among them, static frequency converter starting and back-to-back starting have become the main starting methods for the pumping condition of the unit. In a pumped storage power station, the working mode of the static frequency converter is usually fixed and cannot be adjusted according to different starting tasks. In addition, the static frequency converter is usually installed in a room in the auxiliary powerhouse of the main transformer of the pumped storage power station. When it works, it generates a large amount of heat, causing a high-temperature environment, and it is necessary to control the room environment through ventilation and heat dissipation equipment. However, the working mode of the existing ventilation and heat dissipation equipment in pumped storage power stations is only simple temperature closed-loop control, which cannot cope with the scenario of uneven temperature distribution caused by the equipment layout in the room of the auxiliary powerhouse of the main transformer, nor can it adaptively adjust to different working modes of the static frequency converter, and it is easy to have problems such as poor ventilation and heat dissipation effect or too low energy efficiency.
[0003] In the prior art, the invention patent CN113873827A proposes a hot air dehumidification device for an SFC rectifier cabinet assembly. A dehumidification fan and a coolant water tank are arranged inside the rectifier cabinet. A transmission dehumidification mechanism is arranged inside the dehumidification fan. The coolant water tank is fixedly connected to the bottom of the rectifier cabinet. The coolant water tank is provided with a water cooling circulation mechanism. By using the idle contact of the contactor in the rectifier cabinet of the frequency conversion driving device as the starting node, the dehumidification mechanism can be realized to perform hot air dehumidification when the rectifier cabinet is not working and stop working when the rectifier cabinet is working, which can prevent the temperature in the cabinet from being too high. The hot air dehumidification device of this invention has a better dehumidification effect and is 5-7 times the service life of a conventional heater + fan. It can quickly increase the temperature in the cabinet and the air circulation speed during actual use. However, this invention does not adjust the working mode of the ventilation and heat dissipation equipment according to the working state of the static frequency converter. Summary of the Invention
[0004] Object of the Invention: Aiming at the above problems, the present invention proposes an energy efficiency control system and method for a power station ventilation and heat dissipation device based on a cloud platform.
[0005] Technical Solution:
[0006] In the first aspect, the present invention proposes an energy efficiency control system for a power station ventilation and heat dissipation device 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 air return opening;
[0009] The cloud platform judges the type of the unit startup task. When it judges an emergency task, it controls the first static frequency converter and the second static frequency converter to start the unit simultaneously; when it judges a non-emergency task, it controls the first static frequency converter and the second static frequency converter to start the unit in turn;
[0010] The cloud platform also extracts characteristic values according to 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 zones of the ventilation and heat dissipation equipment based on the characteristic values.
[0011] Preferably, the cloud platform includes a characteristic value calculation module, which is used to calculate a first temperature index value according to 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 a first characteristic value according to the first temperature index value and a preset temperature index value;
[0012] The characteristic value calculation module is also used to calculate a 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 of the main transformer auxiliary powerhouse;
[0014] The first static frequency converter and the second static frequency converter are used for frequency conversion startup of several energy storage units;
[0015] The ventilation and heat dissipation equipment is used for ventilation and heat dissipation of the room of the main transformer auxiliary powerhouse where the first static frequency converter and the second static frequency converter are located.
[0016] Preferably, if the first static frequency converter fails and causes the unit startup to fail, the second static frequency converter completes the startup task and then re-executes the failed startup task;
[0017] If the second static frequency converter fails and causes the unit startup to fail, the first static frequency converter completes the startup task and then re-executes the failed startup task.
[0018] Preferably, when it judges an emergency task and controls the first static frequency converter and the second static frequency converter to start the unit simultaneously, it includes: the pumped-storage power station is a six-machine pumped-storage power station,
[0019] The first static frequency converter starts Unit 1, and at the same time, the second static frequency converter starts Unit 2;
[0020] The first static frequency converter starts Unit 3, and at the same time, the second static frequency converter starts Unit 4;
[0021] The first static frequency converter starts Unit 5, and at the same time, the second static frequency converter starts Unit 6.
[0022] Preferably, when it is determined as a non-emergency task, controlling the first static frequency converter and the second static frequency converter to start the units in turn and alternately 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 while the first static frequency converter is on standby.
[0029] In a second aspect, the present invention also provides an energy efficiency control method for a power station ventilation and heat dissipation device based on a cloud platform, including:
[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, go to step S2, otherwise go to step S3;
[0031] S2. Control the first static frequency converter and the second static frequency converter to start the units simultaneously;
[0032] S3. Control the first static frequency converter and the second static frequency converter to start the units in turn and alternately;
[0033] S4. The cloud platform performs fault judgment and handling on the static frequency converter executing the startup task, including: The first static frequency converter and the second static frequency converter are mutually the main and standby. If the main static frequency converter fails and causes the unit startup task to be interrupted, first judge whether the continuous working duration of the standby static frequency converter exceeds the preset duration. If not, the standby static frequency converter continues to execute the interrupted startup task after completing its own startup task; if so, wait until the intermittent time of the standby static frequency converter ends and then continue to execute the interrupted startup task;
[0034] S5. The cloud platform selects the working mode of the ventilation and heat dissipation system according to the task type;
[0035] S6. The cloud platform selects the working mode of the ventilation and heat dissipation system according to the fault status of the static frequency converter.
[0036] Preferably, the step S5 further includes:
[0037] S51. If the startup task is an emergency task, the working mode of the ventilation and heat dissipation system is adjusted to the enhanced mode, including: calculating the first temperature index value T1:
[0038] T1 = T A + T B + T C where T A is the high value of the monitoring values of all the first temperature monitoring devices, T B is the high value of the monitoring values of all the second temperature monitoring devices, T C is the average value of the monitoring values of all the third temperature monitoring devices;
[0039] Record the time t h1 consumed when T1 rises from the initial value to the first threshold T h1 , which is the first characteristic value, and the steady-state value T s1 when T1 reaches the steady state;
[0040] Judge the magnitude relationship between t h1 and the preset value t 01 . If t h1 is greater than or equal to t 01 , then keep the air volume unchanged;
[0041] If t h1 is less than t 01 , then adjust the air volume change value of the ventilation and heat dissipation system to:
[0042] Δv = α1 * (t 01 - t h1 )
[0043] where α1 is a dimensional parameter;
[0044] When T1 reaches the steady-state value T s1 , calculate the average value T A of the high values T B and T AB , which is the second characteristic value, and judge whether T AB is greater than or equal to the preset value T0;
[0045] If so, continue to increase the air volume, and the air volume change value is:
[0046] Δv = β1 * (TAB - T0)
[0047] If T AB is less than T0, the air volume remains unchanged; where β1 is a dimensional parameter.
[0048] Preferably, the step S5 further includes:
[0049] S52. If the started task is a non - urgent task, the working mode of the ventilation and heat dissipation system is adjusted to the zoning 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 the monitoring values of all the first - temperature monitoring devices, T B2 is the average value of the monitoring values of all the second - temperature monitoring devices, T C is the average value of the monitoring values of all the third - temperature monitoring devices;
[0052] Record the time t h2 consumed when T2 rises from the initial value to the first threshold T h2 , which is the first characteristic value, and the steady - state value T s2 when T2 reaches the steady - state;
[0053] Judge the magnitude relationship between t h2 and the preset value t 02 . If t h2 is greater than or equal to t 02 , the air volume remains unchanged;
[0054] If t h2 is less than t 02 , the change value of the air volume of the ventilation and heat dissipation system is:
[0055] Δv = α2*(t 02 - t h2 )
[0056] When T2 reaches the steady - state value T s2 , record the high value T A of all the monitoring values of the first - temperature monitoring devices, and judge whether T A is greater than or equal to the preset value T a0 ;
[0057] If so, continue to increase the air volume of the partition where the first static frequency converter is located, and the change value of the air volume is:
[0058] Δv = β2*(T A - T a0 ) If TA Less than T a0 , the air volume remains unchanged;
[0059] When T2 reaches the steady-state value T s2 , record the high value T of all the monitoring values of the second temperature monitoring device B , and judge T B Whether it is greater than or equal to the preset value T b0 ;
[0060] If so, continue to increase the air volume of the partition where the second static frequency converter is located, and the change value of the air volume is:
[0061] Δv = β2 * (T B - T b0 )
[0062] If T B is less than T b0 , the air volume remains unchanged; where α2 and β2 are dimensional parameters.
[0063] Thirdly, the present invention also provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps in the energy efficiency control method of the power station ventilation and heat dissipation equipment based on the cloud platform are implemented.
[0064] The present invention has the following beneficial effects compared with the prior art:
[0065] 1. The present invention analyzes the tasks of the pumped-storage power station through the cloud platform, selects different startup strategies according to the task types, can quickly start the units and save time in the face of emergency tasks, and can alternately use the main and standby static frequency converters in turn in the face of non-emergency tasks, which can extend the service life of the equipment.
[0066] 2. The present invention controls the ventilation and heat dissipation of the main transformer auxiliary plant room equipped with two static frequency converters, and adaptively sets different ventilation and heat dissipation working modes for different unit startup task types, avoiding the problems of poor ventilation and heat dissipation effect 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 regulation on each working mode of the ventilation and heat dissipation equipment, analyzes and calculates the first eigenvalue and the second eigenvalue based on the multiple temperature values around the two static frequency converters and the temperature values of each return air outlet, so as to adjust and control the air volume of the ventilation and heat dissipation equipment, which can improve the energy efficiency while ensuring the ventilation and heat dissipation effect of the room.
[0068] 4. When the main static frequency converter fails and causes the unit startup task to be interrupted, the present invention first determines whether the continuous working duration of the standby static frequency converter exceeds a preset duration, thereby avoiding excessive continuous working duration of the standby static frequency converter, protecting the equipment, and reducing the probability of both static frequency converters failing. BRIEF DESCRIPTION OF THE DRAWINGS
[0069] Figure 1 FIG. is a schematic structural diagram of an energy efficiency control system for a power station ventilation and heat dissipation device based on a cloud platform provided by an embodiment of the present invention;
[0070] Figure 2 FIG. is a flowchart of a method for controlling the energy efficiency of a power station ventilation and heat dissipation device based on a cloud platform provided by an embodiment of the present invention;
[0071] Figure 3 FIG. is a flowchart of a method for a cloud platform to select a working mode of a ventilation and heat dissipation system according to a task type provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS
[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] Those skilled in the art of this technology can understand that unless specifically stated otherwise, the singular forms "a", "an", "the", and "said" used herein may also include the plural forms. It should be further understood that the term "comprising" used in the specification of the present invention means the presence of the described 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 "connected" to another element or component, it can be directly connected to other elements or components, or there may also be intermediate elements or components. The term "and / or" used herein includes any and all combinations of one or more of the associated listed items.
[0074] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.
[0075] Embodiment 1:
[0076] An embodiment of the present invention provides an energy efficiency control system for a power station ventilation and heat dissipation device based on a cloud platform. Specifically, please refer to Figure 1 ,Figure 1 Schematic diagram of the energy efficiency control system for the power station ventilation and heat dissipation equipment based on the cloud platform provided by the 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, temperature monitoring device;
[0078] Among them, 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 air return opening;
[0079] The cloud platform judges the type of the unit startup task. When it judges as an emergency task, it controls the first static frequency converter and the second static frequency converter to start the unit simultaneously; when it judges as a non-emergency task, it controls the first static frequency converter and the second static frequency converter to start the unit alternately in sequence;
[0080] The cloud platform also extracts characteristic values according to 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 zones of the ventilation and heat dissipation equipment based on the characteristic values.
[0081] Among them, the cloud platform includes a characteristic value calculation module, which is used to calculate the first temperature index value according to 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 according to the first temperature index value and the preset temperature index value;
[0082] The characteristic value calculation module is also 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] Among them, the first static frequency converter and the second static frequency converter are arranged in the room of the main transformer auxiliary powerhouse;
[0084] The first static frequency converter and the second static frequency converter are used for frequency conversion startup of several energy storage units;
[0085] The ventilation and heat dissipation equipment is used for ventilation and heat dissipation of the room of the main transformer auxiliary powerhouse where the first static frequency converter and the second static frequency converter are located.
[0086] Among them, if the first static frequency converter fails and causes the unit startup to fail, the second static frequency converter will complete the startup task and then re-execute the failed startup task;
[0087] If the second static frequency converter fails and causes the unit startup to fail, the first static frequency converter will complete the startup task and then re-execute the failed startup task.
[0088] Among them, when it is judged as an emergency task, controlling the first static frequency converter and the second static frequency converter to start the unit at the same time includes: the pumped storage power station is a six-unit pumped storage power station,
[0089] The first static frequency converter starts Unit 1, and at the same time the second static frequency converter starts Unit 2;
[0090] The first static frequency converter starts Unit 3, and at the same time the second static frequency converter starts Unit 4;
[0091] The first static frequency converter starts Unit 5, and at the same time the second static frequency converter starts Unit 6.
[0092] Among them, when it is judged as a non-emergency task, controlling the first static frequency converter and the second static frequency converter to start the unit alternately in turn includes: 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 while the first static frequency converter is on standby.
[0099] In this working mode, the present invention can make the two static frequency converters work alternately, avoiding excessive load and heat generation of one device, resulting in uneven temperature acquisition and poor ventilation and heat dissipation effects; it can also avoid the equipment from working continuously for a long time, and can reduce the equipment failure rate.
[0100] Embodiment 2:
[0101] The embodiment of the present invention also provides a method for controlling the energy efficiency of the ventilation and heat dissipation equipment of the power station based on the cloud platform. For details, please refer to Figure 2 , Figure 2 which is a flowchart of a method for controlling the energy efficiency of the ventilation and heat dissipation equipment of the power station based on the cloud platform provided by the embodiment of the present invention. The method includes the steps:
[0102] S1. The cloud platform judges 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, go to step S2, otherwise go to step S3;
[0103] S2. Control 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, and at the same time, the second static frequency converter starts Unit 2;
[0107] The first static frequency converter starts Unit 3, and at the same time, the second static frequency converter starts Unit 4;
[0108] The first static frequency converter starts Unit 5, and at the same time, the second static frequency converter starts Unit 6;
[0109] S3. Control the first static frequency converter and the second static frequency converter to start the unit alternately in sequence;
[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 judgment and handling on the static frequency converter executing the start task, including: The first static frequency converter and the second static frequency converter are mutual main and standby. If the main static frequency converter fails and causes the unit start task to be interrupted, first judge whether the continuous working duration of the standby static frequency converter exceeds the preset duration. If not, the standby static frequency converter continues to execute the interrupted start task after completing its own start task; if so, wait until the intermittent time of the standby static frequency converter ends and then continue to execute the interrupted start task;
[0119] S5. The cloud platform selects the working mode of the ventilation and heat dissipation system according to the task type;
[0120] Among them, for details, please refer toFigure 3 , Figure 3 The flowchart of the method for the cloud platform provided by the embodiment of the present invention to select the working mode of the ventilation and heat dissipation system according to the task type. The step S5 further includes:
[0121] S51. If the startup task is an emergency task, the working mode of the ventilation and heat dissipation system is adjusted to the enhanced mode, including: calculating the first temperature index value T1:
[0122] T1 = T A + T B + T C
[0123] where T A is the high value of the monitoring values of all the first temperature monitoring devices, T B is the high value of the monitoring values of all the second temperature monitoring devices, and T C is the average value of the monitoring values of all the third temperature monitoring devices;
[0124] Record the time t h1 consumed when T1 rises from the initial value to the first threshold T h1 , which is the first characteristic value, and the steady-state value T s1 when T1 reaches the steady state;
[0125] Judge the size relationship between t h1 and the preset value t 01 . If t h1 is greater than or equal to t 01 , the air volume remains unchanged;
[0126] If t h1 is less than t 01 , the change value of the air volume of the ventilation and heat dissipation system is adjusted to:
[0127] Δv = α1 * (t 01 - t h1 )
[0128] where α1 is a dimensional parameter;
[0129] When T1 reaches the steady-state value T s1 , calculate the average value T A of the high values T B and T AB , which is the second characteristic value, and judge whether T AB is greater than or equal to the preset value T0;
[0130] If so, continue to increase the air volume, and the change value of the air volume is:
[0131] Δv = β1 * (T AB - T0)
[0132] If T AB is less than T0, the air volume remains unchanged; where 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 data of the highest 10% or 5% in the monitored real-time values; when considering the selection of the temperature index in the present invention, it does not simply add the temperature monitoring values set around the first static frequency converter, the second static frequency converter and at the return air outlet, but takes into account that the temperature around the first static frequency converter and the second static frequency converter is relatively high, and the temperature around them can better reflect the actual regulation effect of the ventilation and heat dissipation equipment. Therefore, the high value of the temperature values around the first static frequency converter and the second static frequency converter and the average value of the temperature monitoring values set at the return air outlet are comprehensively considered to calculate the temperature index value, which is more reasonable.
[0134] Among them, the step S5 further includes:
[0135] S52. If the start task is a non-urgent task, the working mode of the ventilation and heat dissipation system is adjusted to the zoning 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 the monitoring values of all the first temperature monitoring devices, T B2 is the average value of the monitoring values of all the second temperature monitoring devices, T C is the average value of the monitoring values of all the third temperature monitoring devices;
[0138] Record the time t h2 consumed when T2 rises from the initial value to the first threshold T h2 , which is the first characteristic value, and the steady-state value T s2 when T2 reaches the steady state;
[0139] Judge the magnitude relationship between t h2 and the preset value t 02 . If t h2 is greater than or equal to t 02 , the air volume remains unchanged;
[0140] If t h2 is less than t 02 , the change value of the air volume of the ventilation and heat dissipation system is adjusted to:
[0141] Δv = α2 * (t 02 - t h2 )
[0142] When T2 reaches 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 in the partition where the first static inverter is located, and 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, and 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 using the same air volume invariably. 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] In addition, when dynamically adjusting the air volume, the present application adopts a graded and segmented adjustment mode, firstly making a preliminary adjustment based on the temperature rise rate, and then making a further adjustment 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 the present 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 consideration, and the ventilation and heat dissipation effect is given priority to avoid excessively high indoor ambient temperature due to too low air volume, which is not conducive to the health of the equipment.
[0153] S6. The cloud platform selects the operating mode of the ventilation and heat dissipation system according to the fault status of the static frequency converter.
[0154] Among them, step S6 includes:
[0155] If the static frequency converter fails, the operating mode of the ventilation and heat dissipation system is adjusted to the fault mode;
[0156] When there is no fault in the static frequency converters, the first static frequency converter and the second static frequency converter are mutually the main and standby. When a fault occurs during the operation of one static frequency converter, the other static frequency converter is adjusted to the main static frequency converter. That is, when a fault occurs, the static frequency converter that can work is called the main static frequency converter. At this time:
[0157] Calculate the first temperature index value T3:
[0158] T3 = T 主 +T 备2 +T C
[0159] Where T 主 is the high value of all the monitoring values of the temperature monitoring devices near the main static frequency converter, T 备2 is the average value of all the monitoring values of the standby temperature monitoring device, T C is the average value of all the monitoring values of the third temperature monitoring device;
[0160] Record the time t h3 consumed when T3 rises from the initial value to the first threshold T h3 , which is the first characteristic value, and the steady-state value T s3 when T3 reaches the steady state;
[0161] Judge the magnitude relationship between t h3 and the preset value t 03 . If t h3 is greater than or equal to t 03 , then keep the air volume unchanged;
[0162] If t h3 is less than t 03 , then adjust the air volume change value of the ventilation and heat dissipation system to:
[0163] Δv = α3 * (t 03 -t h3 )
[0164] When T3 reaches the steady-state value T s3 , record the high value T 主 of all the monitoring values of the temperature monitoring devices near the main static frequency converter, and judge whether T 主 is greater than or equal to the preset value T 主0 ;
[0165] If so, continue to increase the air volume in the partition where the main static frequency converter is located. The change value of the air volume is:
[0166] Δv = β3 * (T 主 - T 主0 )
[0167] If T A is less than T a0 , the air volume remains unchanged; where α3 and β3 are dimensional parameters.
[0168] In addition, it further includes step S7. After all units are started up, reduce the air volume, and use 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 the feedback value for closed-loop regulation.
[0169] In this specification, each embodiment is described in a progressive manner. The key point of each embodiment is to illustrate the differences from other embodiments. For the same or similar parts among the embodiments, reference can be made to each other. For the devices disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the description is relatively simple. For the relevant parts, reference can be made to the description in the method part.
[0170] Those skilled in the art can further realize that the units and algorithm steps of each example described in combination with the embodiments disclosed in this article can be implemented by electronic hardware, computer software, or a combination of the two. To clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described according to functions in the above description. Whether these functions are executed in the form of hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present invention.
[0171] Finally, it should also be noted that in this article, relationships such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not explicitly listed, or further includes elements inherent to such process, method, article or device.
Claims
1. A cloud platform-based power station ventilation and heat dissipation equipment energy efficiency control system, 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 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; The cloud platform determines the type of the unit startup task. When it is determined to be an emergency task, it 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, it 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 according to 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.
2. The cloud platform-based power station ventilation and heat dissipation equipment energy efficiency control system according to claim 1 is characterized in that: The cloud platform includes a characteristic value calculation module, which is used to calculate the first temperature index value according to 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 according to 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 according to the high value of the first temperature monitoring device and the high value of the second temperature monitoring device.
3. The cloud platform-based power station ventilation and heat dissipation equipment energy efficiency control system according to claim 1 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 for frequency conversion starting of 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.
4. The cloud platform-based power station ventilation and heat dissipation equipment energy efficiency control system according to claim 1 is characterized in that: If the first static frequency converter fails to start the unit, 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 causes the unit to fail to start, the first static frequency converter will complete the startup task and then re-execute the failed startup task.
5. The cloud platform-based power station ventilation and heat dissipation equipment energy efficiency control system according to claim 1 is 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.
6. The cloud platform-based power station ventilation and heat dissipation equipment energy efficiency control system according to claim 1, 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 and 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 in 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 in standby; The second static frequency converter starts unit 6 and the first static frequency converter is on standby.
7. A cloud platform-based power station ventilation and heat dissipation equipment energy efficiency control method applied to the cloud platform-based power station ventilation and heat dissipation equipment energy efficiency control system according to any one of claims 1 to 6, 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 determines and processes the fault of the static frequency converter that performs the startup task, including: the first static frequency converter and the second static frequency converter serve as the main and backup for each other. If the startup task of the unit is interrupted due to the failure of the main static frequency converter, first determine whether the continuous working time of the backup static frequency converter exceeds the preset time. If not, the backup static frequency converter continues to perform the interrupted startup task after completing its own startup task; if so, wait for the standby static frequency converter to continue to perform the interrupted startup task after the intermittent time ends; S5. The cloud platform selects the working mode of the ventilation and cooling system according to the task type; S6. The cloud platform selects the working mode of the ventilation and cooling system according to the fault status of the static inverter.
8. The cloud platform-based power station ventilation and heat dissipation equipment energy efficiency control method according to claim 7 is characterized in that: Step S5 also includes: 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 the 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 monitoring values of all third temperature monitoring devices; Record T1 rising from the initial value to the first threshold T h1 The time consumed h1 , which is the first eigenvalue, and the steady-state value T when T1 reaches a stable state s1 ; Judgement h1 With the preset value t 01 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: Δv=α1*(t 01 -t h1 ) Where α1 is a dimension parameter; At T1, the steady-state value T s1 When the high value T is calculated A and T B The mean value T AB , which is the second eigenvalue, judging T AB Is it greater than or equal to the preset value T0? If yes, continue to increase the air volume, and the change in air volume is: Δv=β1*(T AB -T0) If T AB If it is less than T0, the air volume remains unchanged; β1 is a dimensional parameter.
9. The cloud platform-based power station ventilation and heat dissipation equipment energy efficiency control method according to claim 8, characterized in that: Step S5 also includes: S52: If the startup task is not an emergency task, the working mode of the ventilation and cooling system is adjusted to a partition mode, including: calculating a first temperature index value T2: T2=T A2 +T B2 +T C Where T A2 is the average value of all the monitoring values of the first temperature monitoring device, T B2 is the average value of all the monitoring values of the second temperature monitoring device, T C is the average value of monitoring values of all third temperature monitoring devices; Record T2 rising from the initial value to the first threshold T h2 The time consumed h2 , which is the first eigenvalue, and the steady-state value T when T2 reaches a stable state s2 ; Judgement h2 With the preset value t 02 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: Δv=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 in the partition where the first static inverter is located, and 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, and 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.
10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor, the steps in the cloud platform-based power station ventilation and heat dissipation equipment energy efficiency control method described in any one of claims 7 to 9 are implemented.
Citation Information
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