WO2014019250A1 - 一种优化多联机空调系统中压缩机运行控制的方法及装置 - Google Patents

一种优化多联机空调系统中压缩机运行控制的方法及装置 Download PDF

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Publication number
WO2014019250A1
WO2014019250A1 PCT/CN2012/079883 CN2012079883W WO2014019250A1 WO 2014019250 A1 WO2014019250 A1 WO 2014019250A1 CN 2012079883 W CN2012079883 W CN 2012079883W WO 2014019250 A1 WO2014019250 A1 WO 2014019250A1
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Prior art keywords
compressor
running time
conditioning system
air conditioning
power consumption
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PCT/CN2012/079883
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English (en)
French (fr)
Inventor
石靖峰
张文强
李亚军
孟建军
马运潮
Original Assignee
青岛海信日立空调系统有限公司
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Priority to EP12882290.5A priority Critical patent/EP2881583B1/en
Publication of WO2014019250A1 publication Critical patent/WO2014019250A1/zh

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Classifications

    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F04POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
    • F04BPOSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS
    • F04B35/00Piston pumps specially adapted for elastic fluids and characterised by the driving means to their working members, or by combination with, or adaptation to, specific driving engines or motors, not otherwise provided for
    • F04B35/04Piston pumps specially adapted for elastic fluids and characterised by the driving means to their working members, or by combination with, or adaptation to, specific driving engines or motors, not otherwise provided for the means being electric
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F04POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
    • F04BPOSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS
    • F04B41/00Pumping installations or systems specially adapted for elastic fluids
    • F04B41/06Combinations of two or more pumps
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F04POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
    • F04BPOSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS
    • F04B49/00Control, e.g. of pump delivery, or pump pressure of, or safety measures for, machines, pumps, or pumping installations, not otherwise provided for, or of interest apart from, groups F04B1/00 - F04B47/00
    • F04B49/06Control using electricity
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F04POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
    • F04BPOSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS
    • F04B49/00Control, e.g. of pump delivery, or pump pressure of, or safety measures for, machines, pumps, or pumping installations, not otherwise provided for, or of interest apart from, groups F04B1/00 - F04B47/00
    • F04B49/06Control using electricity
    • F04B49/065Control using electricity and making use of computers
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F25REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
    • F25BREFRIGERATION MACHINES, PLANTS OR SYSTEMS; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS
    • F25B49/00Arrangement or mounting of control or safety devices
    • F25B49/02Arrangement or mounting of control or safety devices for compression type machines, plants or systems
    • F25B49/022Compressor control arrangements
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F04POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
    • F04BPOSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS
    • F04B2203/00Motor parameters
    • F04B2203/02Motor parameters of rotating electric motors
    • F04B2203/0208Power
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F04POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
    • F04BPOSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS
    • F04B2205/00Fluid parameters
    • F04B2205/09Flow through the pump
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F25REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
    • F25BREFRIGERATION MACHINES, PLANTS OR SYSTEMS; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS
    • F25B2400/00General features or devices for refrigeration machines, plants or systems, combined heating and refrigeration systems or heat-pump systems, i.e. not limited to a particular subgroup of F25B
    • F25B2400/07Details of compressors or related parts
    • F25B2400/075Details of compressors or related parts with parallel compressors
    • F25B2400/0751Details of compressors or related parts with parallel compressors the compressors having different capacities
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F25REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
    • F25BREFRIGERATION MACHINES, PLANTS OR SYSTEMS; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS
    • F25B2500/00Problems to be solved
    • F25B2500/19Calculation of parameters
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F25REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
    • F25BREFRIGERATION MACHINES, PLANTS OR SYSTEMS; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS
    • F25B2600/00Control issues
    • F25B2600/02Compressor control
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F25REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
    • F25BREFRIGERATION MACHINES, PLANTS OR SYSTEMS; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS
    • F25B2600/00Control issues
    • F25B2600/02Compressor control
    • F25B2600/025Compressor control by controlling speed
    • F25B2600/0253Compressor control by controlling speed with variable speed
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02BCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B30/00Energy efficient heating, ventilation or air conditioning [HVAC]
    • Y02B30/70Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating

Definitions

  • the invention relates to an intelligent energy-saving technology for air conditioners, in particular to a method and a device for optimizing operation control of a compressor in a multi-connected air-conditioning system.
  • the multi-connected air conditioning system generally includes one or more outdoor units and one or more indoor units, and one or more compressors are arranged in the outdoor unit.
  • the outdoor unit of the multi-connected air conditioning system can Sharing, can effectively reduce equipment costs, and can realize centralized management of indoor units and outdoor units. It can start a single compressor operation, or multiple compressors can be started at the same time, making control more flexible. For example, some or all of the compressors can be started depending on the outdoor ambient temperature, the air conditioning area, and the seasonal changes. For example, in winter evenings, late nights, and early morning hours, more compressors are started to enter the operating state, and in the morning to afternoon time, some of the operating compressors can be gradually stopped.
  • the existing method for optimizing the multi-connected air conditioning system mainly considers the output capability of the multi-connected air conditioning system, that is, whether the output of the system satisfies the pre-designed output demand threshold, that is, in the multi-connected air conditioning system, one is selected.
  • One or more compressors so that their total output capacity reaches the output demand threshold.
  • FIG. 1 is a schematic flow chart of a method for optimizing compressor operation control in an existing optimized multi-connected air conditioning system. Referring to Figure 1, the process includes:
  • Step 101 Acquire a rated output of each compressor in the multi-connected air conditioning system
  • the multi-connected air conditioning system includes three compressors, namely compressors A to C, and the rated output of each compressor can be obtained according to the corresponding technical data provided for the compressor.
  • compression is provided.
  • the compressor rating is also provided.
  • the rated output and its corresponding rated power consumption are collectively referred to as the performance parameters of the compressor, and the unit is in international units.
  • Table 1 shows the performance parameters of compressor A.
  • the output of the compressor A (rated output) has 7 levels, and the output size is 1 to 7. Among them, the rated power consumption increases as the output level increases.
  • Table 2 shows the performance parameters of compressor B.
  • Compressor C is a fixed speed press. When the rated output is 5, the rated power consumption is 3.125. Step 102: Obtain a required output demand threshold;
  • the number of compressors in the multi-connected air conditioning system is set according to a pre-designed maximum output demand threshold.
  • an output demand threshold that is not greater than the maximum output demand threshold may be selected according to actual needs.
  • the required indoor output demand threshold is 14.49.
  • Step 103 Select a compressor and an operating frequency thereof so that the sum of the rated output of the selected compressor is not less than the output demand threshold.
  • the rated output of each compressor of the subsequent operation meets the required output demand threshold.
  • the output of the output of the compressor A can be selected to be 7, and the output of the output of the compressor B is 8
  • the sum of the rated output of compressor A and compressor B is 15 , which is greater than the output demand threshold of 14.49.
  • the existing method for optimizing the multi-connected air conditioning system usually only considers whether the rated output of the system satisfies the required output demand threshold, and does not consider the energy efficiency ratio of the system, so that the system meets the required output demand threshold.
  • the energy consumption power consumption
  • the method also causes the output of each compressor in the multi-connected air conditioning system to be unevenly distributed, and some compressors are in a shutdown state for a long time. Other compressors are still on for a long time, which affects their service life.
  • Embodiments of the present invention provide a method for optimizing compressor operation control in a multi-connected air conditioning system to improve the energy efficiency ratio of the multi-connected air conditioning system.
  • Embodiments of the present invention also provide an apparatus for optimizing compressor operation control in a multi-connected air conditioning system, and improving an energy efficiency ratio of the multi-connected air conditioning system.
  • a method for optimizing operation control of a compressor in a multi-connected air-conditioning system includes:
  • the compressor and its operating frequency are selected such that the sum of the rated outputs of the selected compressors is not less than the output demand threshold, and the sum of the rated power consumption of the selected compressors is minimized.
  • the compressor and its operating frequency are re-selected so that the sum of the rated output of the selected compressor is not less than the output demand threshold, and the sum of the rated power consumption of the selected compressor is obtained.
  • the operating time conditions include: one of or any combination of operating condition conditions accumulated by the compressor, continuous operating time of the compressor, and operating time difference between the continuous operating time of the compressor and the shortest continuous operating time in the system.
  • the running time condition accumulated by the compressor includes: a first running time sub-condition threshold to a fourth running time sub-condition threshold; and adjusting the rated power consumption of the compressor according to an adjustment amount corresponding to the preset running time condition Volume includes:
  • the running time difference between the accumulated running time of the compressor and the shortest accumulated running time in the system is greater than the first running time sub-condition threshold and less than the second running time sub-condition threshold, the rated power consumption of the compressor under each working condition Upregulating a preset first percentage threshold;
  • the rated consumption of the compressor under each working condition The power is up-regulated by a preset second percentage threshold; if the running time difference between the accumulated running time of the compressor and the shortest accumulated running time in the system is greater than or equal to the third running time sub-condition threshold and less than the fourth running time sub-condition threshold , the rated power consumption of the compressor under each working condition is increased by a preset third percentage threshold; if the running time of the cumulative operation of the compressor and the shortest cumulative running time in the system is greater than or equal to the fourth The running time sub-condition threshold is used to raise the rated power consumption of the compressor under each operating condition by a preset fourth percentage threshold.
  • the sum of the rated output of the selected compressor is not less than the output demand threshold, and the sum of the rated power consumption of the selected compressor is minimized to include:
  • the multi-connected air conditioning system state matrix is split into multiple multi-connected air conditioning system state sub-matrices, and the split sub-matrix is multiplied by the multi-connected air conditioning system output matrix to obtain the compression to be selected.
  • the rated output includes: rated cooling capacity and rated heating capacity.
  • the calculation formula of the rated output function of the first compressor is:
  • the rated power consumption function corresponding to the rated output of the first compressor is calculated as:
  • the first compressor has a rated output quantity
  • b is the sum of the rated output of the compressor to be selected
  • w is the maximum rated output quantity of each compressor in the multi-connected air conditioning system
  • m is the number of compressors included in the multi-connected air conditioning system
  • ⁇ and 13 ⁇ 4 are constants, 3 ⁇ 4 is a variable, and the corresponding variable 3 ⁇ 4 is equal to 1, corresponding to the first compressor selected.
  • the variable 3 ⁇ 4 is equal to 1, the corresponding operation is performed for the finally selected first compressor. state.
  • the rated power consumption matrix corresponding to the rated output of the first compressor is calculated as
  • An apparatus for optimizing compressor operation control in a multi-connected air-conditioning system comprising: a first parameter acquisition module, a second parameter acquisition module, and a selection module, wherein
  • a first parameter obtaining module configured to obtain information about rated output and rated power consumption of each compressor in the multi-connected air conditioning system, and output the information to the selection module;
  • a second parameter obtaining module configured to obtain a required output demand threshold, and output to the selection module;
  • the selection module is configured to select the compressor and its operating frequency, so that the sum of the rated output of the selected compressor is not less than the output demand threshold, and the sum of the rated power consumption of the selected compressor is minimized.
  • a third parameter obtaining module configured to acquire running time information of each compressor, and output the information to the adjusting module
  • an adjustment module configured to acquire, according to the output of the third parameter, a compressor that meets a preset running time condition, and adjust the compression obtained in the first parameter acquiring module according to the preset adjustment amount corresponding to the running time condition The rated power consumption of the machine, and trigger the selection module to re-select.
  • the selection module includes: a parameter matrix acquisition unit, a split unit, a first calculation unit, a comparison unit, a second calculation unit, and a selection unit, where
  • a parameter matrix obtaining unit configured to respectively acquire a multi-connected air conditioning system state matrix composed of compressor states, a multi-connected air conditioning system output volume matrix, and a multi-connected air conditioning system power consumption matrix;
  • a splitting unit configured to use a compressor state Variable, splitting the multi-connected air conditioning system state matrix into a plurality of multi-connected air conditioning system state sub-matrices;
  • a first calculating unit configured to multiply the split sub-matrix by a multi-connected air conditioning system output matrix to obtain a sum of rated output of the compressor to be selected;
  • a comparison unit configured to obtain a multi-connected air conditioning system state sub-matrix corresponding to a sum of the rated output of the compressor to be selected that is not less than the output demand threshold;
  • a second calculating unit configured to calculate a product of the acquired multi-connected air conditioning system state sub-matrix and the multi-connected air conditioning system power consumption matrix, to obtain a corresponding power consumption
  • the selecting unit is configured to obtain a multi-connected air conditioning system state sub-matrix corresponding to the minimum power consumption, and select a compressor with a compressor state of 1 in the multi-connected air conditioning system state sub-matrix.
  • the adjustment module includes: a threshold storage unit, a determination unit, and an adjustment unit, wherein the threshold storage unit is configured to store a preset first runtime sub-condition threshold, a second runtime sub-condition threshold, and a third runtime sub-condition a threshold and a fourth runtime sub-condition threshold;
  • a determining unit if the running time difference between the accumulated running time of the compressor and the shortest accumulated running time in the system is greater than the first running time sub-condition threshold and less than the second running time sub-condition threshold, the first adjusting information is output to the adjusting unit;
  • the fourth adjusting information is output to the adjusting unit; the adjusting unit is configured to receive the first adjusting information, and The rated power consumption of the compressor is increased by a preset first percentage threshold in each working condition; the second adjustment information is received, and the rated power consumption of the compressor in each working condition is up-regulated The second percentage threshold is received; the third adjustment information is received, and the rated power consumption of the compressor in each working condition is raised by a preset third percentage threshold; the fourth adjustment information is received, and the compression is performed.
  • the rated power consumption of each machine is increased by a preset fourth percentage threshold.
  • the method and device for optimizing compressor operation control in a multi-connected air-conditioning system are provided by the embodiments of the present invention, and the rated output information and the rated power consumption information of each compressor in the multi-connected air-conditioning system are obtained; Obtaining the required output demand threshold; selecting the compressor so that the sum of the rated outputs of the selected compressors is not less than the output demand threshold, and the sum of the rated power consumption of the selected compressors is minimized.
  • the most energy-efficient compressor operation combination is selected, and the energy efficiency ratio of the multi-connected air conditioning system is improved.
  • FIG. 1 is a schematic flow chart of a method for optimizing compressor operation control in an existing optimized multi-connected air conditioning system.
  • 2 is a flow chart showing a method for optimizing compressor operation control in a multi-connected air conditioning system according to an embodiment of the present invention.
  • FIG. 3 is a schematic structural diagram of an apparatus for optimizing compressor operation control in a multi-connected air-conditioning system according to an embodiment of the present invention. detailed description
  • the energy efficiency ratio index reflecting the comprehensive performance of multi-connected air conditioning systems, that is, the output and input power of multi-connected air conditioning systems under rated conditions and specified conditions.
  • the ratio indicates that the multi-connected air conditioning system is more energy efficient.
  • the existing method for optimizing the multi-connected air conditioning system does not consider the energy efficiency ratio of the system, so that the system may consume more energy when it meets the required output demand threshold.
  • the selection is further made under the condition that the sum of the rated output of each compressor is not less than the output demand threshold.
  • Each compressor has the lowest rated power consumption, which optimizes the selection of the most energy-efficient compressor operating combination and improves the energy efficiency ratio of the multi-connected air conditioning system.
  • the method for optimizing the operation of the compressor in the multi-connected air-conditioning system proposed by the embodiment of the present invention can be applied not only to the modular combined air conditioning system but also to the multi-compressor air conditioning system.
  • FIG. 2 is a flow chart showing a method for optimizing compressor operation control in a multi-connected air conditioning system according to an embodiment of the present invention. Referring to Figure 2, the process includes:
  • Step 201 Obtain information on rated output and rated power consumption of each compressor in the multi-connected air conditioning system
  • the multi-connected air conditioning system includes a plurality of compressors, each of which has different rated output under different working conditions, but within a certain operating period, the working condition of the compressor is determined. , with a defined rated output, that is, it can only be operated at a certain rated output.
  • the rated output includes: rated cooling capacity and rated heating capacity.
  • the first operating state of the first compressor is 3 ⁇ 4 , that is, the _th type of operating frequency (or the rotational speed) of the compressor, and when the 3 ⁇ 4 is 1, the The compressor is in the running state at the frequency, that is, in the power-on state, when it is 0, it means that the compressor is in the stop state at the frequency, that is, it is in the shutdown state.
  • the compressor is either turned on or off during any period of time.
  • the _ / type of operating state of the compressor is 1 ⁇ 4 , it means that it is in the running state, Corresponding rated output, and generating corresponding rated power consumption, while for other operating conditions, the operating state of the compressor is 3 ⁇ 4 0, indicating that the compressor is off. This means that the rated output can only be obtained when the compressor is switched on.
  • the function expression is used to indicate the rated output of the first compressor and the rated power consumption corresponding to the rated output, that is, the function expression of the rated output of the compressor is:
  • the first operating state of the first compressor ie the operating frequency (or speed) of the compressor, 1;
  • A is the state of the first compressor, which is an integer and less than or equal to 1.
  • A is 1 to indicate that the compressor is in the on state, and A is 0 to indicate that the compressor is in the off state, that is, the compressor is under various working conditions. , at most only one working condition is in the power-on state;
  • the rated output of the compressor under the first operating condition is
  • the compressor For the rated power consumption of the first compressor, the compressor has a rated power consumption of ⁇ under the conditions of the _/.
  • the rated output of the first compressor and the rated power consumption corresponding to the rated output are expressed in a matrix:
  • Step 202 Obtain a required output demand threshold.
  • Step 203 Select a compressor so that the sum of the rated output of the selected compressor is not less than the output demand threshold, and the sum of the rated power consumption of the selected compressor is minimized.
  • the compressor and its operating frequency are selected such that the sum of the rated output of the selected compressor is not less than the output demand threshold, and the sum of the rated power consumption of the selected compressor can be minimized by
  • b is the sum of the rated output of the compressor to be selected
  • w is the maximum rated output quantity of each compressor in the multi-connected air conditioning system.
  • the compressor A has a rated output quantity of 7
  • the compressor B has a rated output quantity of 8
  • ( ⁇ and ! ⁇ are constants, which are variables, satisfying 3 ⁇ 4 e ⁇ 0, l ⁇ and ⁇ ⁇ ⁇ 1.
  • the corresponding variable is obtained when the variable 3 ⁇ 4 is equal to 1, and the corresponding compressor is obtained.
  • the variable 3 ⁇ 4 is equal to 1
  • the corresponding operation state is obtained for the finally selected first compressor. That is, after the corresponding frequency or the rotational speed is obtained, the rated output information corresponding to the working condition and the rated power consumption information can be obtained.
  • the formula for calculating the rated power consumption matrix corresponding to the rated heating capacity of the first compressor is:
  • the sum of the rated output of the selected compressor is not less than the output demand threshold, and the sum of the rated power consumption of the selected compressor may be specifically included:
  • Al l respectively obtaining a multi-connected air conditioning system state matrix composed of compressor states, a multi-connected air conditioning system output matrix, and a multi-connected air conditioning system power consumption matrix;
  • A12 taking the compressor state as a variable, splitting the multi-connected air conditioning system state matrix into a plurality of multi-connected air conditioning system state sub-matrices, and multiplying the split sub-matrix with the multi-connected air conditioning system output matrix to obtain a to-be-selected The sum of the rated output of the compressor;
  • the state of each compressor changes under any working condition, and correspondingly constitutes a multi-connected air conditioning system state sub-matrix. Therefore, if the first compressor has a rated output of 4 and the multi-connected air conditioning system includes a compressor, the total number of multi-connected air conditioning system state sub-matrices B is:
  • A13 obtaining a multi-connected air conditioning system state sub-matrix corresponding to a sum of rated output of the compressor to be selected that is not less than the output demand threshold;
  • A15 Obtain a multi-connected air conditioner system state sub-matrix corresponding to the minimum power consumption, and select a compressor with a compressor state of 1 in the multi-unit air conditioner system state sub-matrix.
  • Each compressor (press) can only be operated in one operating condition (frequency):
  • the sum of the status parameter values of each line is 1 or 0;
  • the output of the multi-connected air conditioning system is greater than or equal to the output demand threshold
  • each status parameter is binary, that is, for each press, or power on, or off.
  • the total output of the multi-connected air conditioning system is 6:
  • the matrix expression that makes the sum of the rated output of the selected compressor not less than the output demand threshold and minimizes the sum of the rated power consumption of the selected compressor is:
  • the solution can be calculated by software programming, or it can be simulated by excel.
  • Compressor A has a rated output of 4, and the corresponding rated power consumption is 2.1, compressor B.
  • Greater than the required output demand threshold of 14.49, and the total rated power consumption is: 2.1 + 3.3 + 3.125 8.525.
  • the running time of the compressor is further controlled, when the compressor operation exceeds a preset time threshold, or the running time difference of the compressor with the shortest running time in the system exceeds a preset value.
  • the multi-line air-conditioning system When the time difference threshold is reached, the multi-line air-conditioning system is triggered to be re-optimized, and the compressor with a long running time is put into a shutdown state, thereby re-selecting the operating compressor, so that the running time of each compressor tends to be balanced.
  • the method further comprises:
  • Step 204 Obtain information about running time of each compressor.
  • the running time information of the compressor in the working state can be counted once according to a preset time period, for example, every day.
  • Step 205 Counting a compressor that satisfies a preset running time condition, and adjusting a rated power consumption of the compressor according to an adjustment amount corresponding to the running time condition set in advance;
  • the running time condition may be a running time condition accumulated by the compressor, or may be a continuous running time condition of the compressor, or may be a running time difference condition between the continuous running time of the compressor and the shortest continuous running time in the system.
  • the operating time conditions may also be set in other ways, for example, the running time difference between the continuous running time of the compressor and the continuous running average time of each compressor in the system, or any combination of the above settings.
  • a plurality of runtime sub-condition thresholds can be set.
  • four operating time sub-condition thresholds are set, which are 100 hours, 200 hours, 300 hours, and 400 hours, respectively.
  • the first running time sub-condition threshold is satisfied, and the adjusting amount corresponding to the first running time sub-condition threshold is set as the compression (10 ⁇ 1)% of the machine, that is, the rated power consumption of the compressor under each working condition is raised by a preset first percentage threshold;
  • the adjustment amount corresponding to the second running time sub-condition threshold is set as (20 ⁇ 2) % of the compressor, that is, the rated power consumption of the compressor under each working condition is raised by a preset second percentage threshold; if the cumulative running time of the compressor and the shortest accumulation in the system The running time difference of the running time is greater than or equal to 300 hours and less than 400 hours, and the third operating time sub-condition threshold is met, and the adjustment amount corresponding to the third operating time sub-condition threshold is set to be (30 ⁇ 3)% of the compressor, The rated power consumption of the compressor is increased by a predetermined third percentage threshold under each operating condition; if the running time difference between the cumulative running time of the compressor and the shortest cumulative running time in the system is greater than or equal to 400 hours, the satisfaction is satisfied. a fourth running time sub-condition threshold, and setting an adjustment
  • Step 206 Reselect the compressor according to the adjustment of the rated power consumption, so that the sum of the rated output of the selected compressor is not less than the output demand threshold, and the sum of the rated power consumption of the selected compressor is minimized. .
  • the execution flow of this step is the same as that of step 203. It is set to the rated power consumption of the first compressor after the rated power consumption adjustment.
  • the multi-connected air conditioning system is more energy efficient, optimizes the operating parameters of the multi-connected air conditioning system, and fully utilizes the refrigeration and system of the multi-connected air conditioning system.
  • the method does not distribute the compressor evenly according to the output demand threshold, but fully consumes the power consumption of the online air conditioning system, and makes the multi-connection under the premise of meeting the output demand threshold.
  • the air conditioning system consumes the least amount of electricity, effectively reducing energy waste.
  • FIG. 3 A schematic diagram of an apparatus structure for optimizing compressor operation control in a multi-connected air conditioning system.
  • the device includes: a first parameter obtaining module, a second parameter acquiring module, and a selecting module, where
  • a first parameter obtaining module configured to obtain information about rated output and rated power consumption of each compressor in the multi-connected air conditioning system, and output the information to the selection module;
  • the rated output includes: a rated cooling capacity and a rated heating capacity.
  • a second parameter obtaining module configured to obtain a required output demand threshold, and output to the selection module;
  • the selection module is configured to select the compressor and its operating frequency so that the sum of the rated output of the selected compressor is not less than the output demand threshold, and the sum of the rated power consumption of the selected compressor is minimized.
  • the device further includes: a third parameter acquisition module and an adjustment module, wherein a third parameter obtaining module, configured to acquire running time information of each compressor, and output the same to the adjusting module;
  • an adjustment module configured to acquire, according to the output of the third parameter, a compressor that meets a preset running time condition, and adjust the compression obtained in the first parameter acquiring module according to the preset adjustment amount corresponding to the running time condition The rated power consumption of the machine, and trigger the selection module to re-select.
  • the selection module includes: a parameter matrix acquisition unit, a split unit, a first calculation unit, a comparison unit, a second calculation unit, and a selection unit (not shown), wherein
  • a parameter matrix obtaining unit configured to respectively acquire a multi-connected air conditioning system state matrix composed of compressor states, a multi-connected air conditioning system output volume matrix, and a multi-connected air conditioning system power consumption matrix;
  • a splitting unit configured to use a compressor state Variable, splitting the multi-connected air conditioning system state matrix into a plurality of multi-connected air conditioning system state sub-matrices;
  • the state of each compressor changes under any condition, and correspondingly constitutes a multi-line air conditioning system state sub-matrix. Therefore, if the first compressor has a rated output of 4 and the multi-connected air-conditioning system includes a compressor, the total number of multi-connected air conditioning system status sub-matrices is:
  • the first calculation unit is used to multiply the split sub-matrix by the output matrix of the multi-connected air conditioning system to obtain the sum of the rated output of the compressor to be selected;
  • a comparison unit configured to obtain a multi-connected air conditioning system state sub-matrix corresponding to a sum of the rated output of the compressor to be selected that is not less than the output demand threshold;
  • a second calculating unit configured to calculate a product of the acquired multi-connected air conditioning system state sub-matrix and the multi-connected air conditioning system power consumption matrix, to obtain a corresponding power consumption
  • the selecting unit is configured to obtain a multi-connected air conditioning system state sub-matrix corresponding to the minimum power consumption, and select a compressor with a compressor state of 1 in the multi-connected air conditioning system state sub-matrix.
  • the adjustment module includes: a threshold storage unit, a determination unit, and an adjustment unit (not shown), wherein
  • a threshold storage unit configured to store a preset first runtime sub-condition threshold, a second runtime sub-condition threshold, a third runtime sub-condition threshold, and a fourth runtime sub-condition threshold;
  • Judging unit if the continuous running time of the compressor and the shortest continuous running time in the system The line time difference is greater than the first running time sub-condition threshold and less than the second running time sub-condition threshold, and the first adjustment information is output to the adjusting unit;
  • the fourth adjusting information is output to the adjusting unit; the adjusting unit is configured to receive the first adjusting information, and The rated power consumption of the compressor is increased by a preset first percentage threshold in each working condition; the second adjustment information is received, and the rated power consumption of the compressor in each working condition is up-regulated The second percentage threshold is received; the third adjustment information is received, and the rated power consumption of the compressor in each working condition is raised by a preset third percentage threshold; the fourth adjustment information is received, and the compression is performed.
  • the rated power consumption of each machine is increased by a preset fourth percentage threshold.

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Abstract

一种优化多联机空调系统中压缩机运行控制的方法及装置。该方法包括:获取多联机空调系统中各压缩机的额定输出量信息及额定耗电量信息;获取所需的输出量需求阈值;选取压缩机及其运行频率,使选取的压缩机的额定输出量之和不小于所述输出量需求阈值,并使选取的压缩机的额定耗电量之和最小,从而可以提高多联机空调系统的实际运行能效比。

Description

一种优化多联机空调系统中压缩机运行控制的方法及装置
技术领域
本发明涉及空调智能节能技术, 尤其涉及一种优化多联机空调系统中压缩 机运行控制的方法及装置。 背景技术
随着人们生活水平的不断提高, 在居住和室内工作环境下, 通过安装 空调系统, 用以提升居住和工作环境的舒适性, 成为人们提高舒适性需求 的一个重要选择。 其中, 多联机空调技术由于具有控制自由、 高效节能、 便于安装维护等优点, 是空调发展的一个重要方向。
多联机空调系统一般包括一台或多台室外机以及一台或多台室内机, 室外机内设置有一台或多台压缩机, 与多台家用空调相比, 多联机空调系 统的室外机可以共用, 可有效降低设备成本, 并可实现各室内机以及室外 机的集中管理, 可单独启动一台压缩机运行, 也可多台压缩机同时启动运 行, 使得控制更加灵活。 例如, 可以根据室外环境温度、 空调区域以及季 节的变化, 启动部分或全部的压缩机。 举例来说, 在冬天的晚上、 深夜以 及凌晨时, 启动较多的压缩机进入运行状态, 而在早上至午后的时间段内, 可以逐渐停止一些运行的压缩机。
随着能源及环境问题的日益突出, 如何优化多联机空调系统, 使得多 联机空调系统的能耗较小, 成为多联机空调系统节能技术发展的方向。 而 现有优化多联机空调系统的方法, 主要是考虑多联机空调系统的输出能力, 即系统的输出量是否满足预先设计的输出量需求阈值, 也就是说, 在多联 机空调系统中, 选取一台或多台压缩机, 使其总的输出能力达到输出量需 求阈值。
图 1为现有优化多联机空调系统中压缩机运行控制的方法流程示意图。 参见图 1 , 该流程包括:
步骤 101 , 获取多联机空调系统中各压缩机的额定输出量;
本步骤中,假设多联机空调系统包括三台压缩机,分别为压缩机 A ~ C, 各压缩机的额定输出量可根据为该压缩机提供的相应技术资料获得, 实际 应用中, 在提供压缩机的额定输出量参数时, 还同时提供有该压缩机额定 输出量对应的额定耗电量。 本申请中, 额定输出量及其对应的额定耗电量 统称为压缩机的性能参数, 其单位采用国际单位。
表 1为压缩机 A的性能参数。
表 1
Figure imgf000004_0001
表 1 中, 压缩机 A的输出量 (额定输出量)共有 7级, 输出量大小 别为 1 ~ 7。 其中, 额定耗电量随着输出量级别的升高而升高。
表 2为压缩机 B的性能参数。
表 2
Figure imgf000004_0002
表 2中, 压缩机 B的输出量 (额定输出量)共有 8级。
压缩机 C为定速压机, 额定输出量为 5时, 额定耗电量为 3.125。 步骤 102 , 获取所需的输出量需求阈值;
本步骤中, 多联机空调系统中的压缩机台数是根据预先设计的最大输 出量需求阈值进行设置的, 实际应用中, 可根据实际需要选择不大于最大 输出量需求阈值的输出量需求阈值。 本步骤中, 要求的室内输出量需求阈值为 14.49。
步骤 103 , 选取压缩机及其运转频率, 使选取的压缩机的额定输出量之 和不小于所述输出量需求阈值。
本步骤中, 关注后续运行的各压缩机的额定输出量是否满足所需的输 出量需求阈值, 例如, 可以选择压缩机 A输出的输出量为 7, 压缩机 B输 出的输出量为 8 , 这样,压缩机 A和压缩机 B输出的额定输出量之和为 15 , 大于输出量需求阈值 14.49。
由上述可见, 现有优化多联机空调系统的方法, 通常只考虑系统的额 定输出量是否满足所需的输出量需求阈值, 没有考虑系统的能效比, 使得 系统在满足所需的输出量需求阈值时, 其能耗 (耗电量) 可能较大, 使得 能效比较低; 进一步地, 该方法还导致多联机空调系统中的各压缩机输出 量分配不均勾, 一些压缩机长期处于关机状态, 而另一些压缩机又长期处 于开机状态, 影响了其使用寿命。 发明内容
本发明的实施例提供一种优化多联机空调系统中压缩机运行控制的方 法, 提高多联机空调系统的能效比。
本发明的实施例还提供一种优化多联机空调系统中压缩机运行控制的 装置, 提高多联机空调系统的能效比。
为达到上述目的, 本发明实施例提供的一种优化多联机空调系统中压 缩机运行控制的方法, 包括:
获取多联机空调系统中各压缩机的额定输出量信息及额定耗电量信 息;
获取所需的输出量需求阈值;
选取压缩机及其运转频率, 使选取的压缩机的额定输出量之和不小于 所述输出量需求阈值, 并使选取的压缩机的额定耗电量之和最小。
进一步包括:
获取各压缩机运行时间信息;
统计满足预先设置的运行时间条件的压缩机, 根据预先设置的该运行 时间条件对应的调整量, 调整该压缩机的额定耗电量;
根据额定耗电量的调整, 重新选取压缩机及其运行频率, 使选取的压 缩机的额定输出量之和不小于所述输出量需求阈值, 并使选取的压缩机的 额定耗电量之和最小。 所述运行时间条件包括: 压缩机累积的运行时间条件、 压缩机连续运 行时间条件以及该压缩机连续运行时间与系统内最短连续运行时间的运行 时间差条件中的一种或其任意组合。
所述压缩机累积的运行时间条件包括: 第一运行时间子条件阈值至第 四运行时间子条件阈值; 所述根据预先设置的该运行时间条件对应的调整 量, 调整该压缩机的额定耗电量包括:
如果压缩机累积的运行时间与系统内最短累积运行时间的运行时间差 大于第一运行时间子条件阈值而小于第二运行时间子条件阈值, 将该压缩 机在每种工况下的额定耗电量上调预先设定的第一百分比阈值;
如果压缩机累积的运行时间与系统内最短累积运行时间的运行时间差 大于或等于第二运行时间子条件阈值而小于第三运行时间子条件阈值, 将 该压缩机在每种工况下的额定耗电量上调预先设定的第二百分比阈值; 如果压缩机累积的运行时间与系统内最短累积运行时间的运行时间差 大于或等于第三运行时间子条件阈值而小于第四运行时间子条件阈值, 将 该压缩机在每种工况下的额定耗电量上调预先设定的第三百分比阈值; 如果压缩机累积的运行时间与系统内最短累积运行时间的运行时间差 大于或等于第四运行时间子条件阈值, 将该压缩机在每种工况下的额定耗 电量上调预先设定的第四百分比阈值。
所述使选取的压缩机的额定输出量之和不小于所述输出量需求阈值, 并使选取的压缩机的额定耗电量之和最小包括:
分别获取由压缩机状态组成的多联机空调系统状态矩阵、 多联机空调 系统输出量矩阵以及多联机空调系统耗电量矩阵;
以压缩机状态为变量, 将多联机空调系统状态矩阵拆分为多个多联机 空调系统状态子矩阵, 并将拆分的子矩阵与多联机空调系统输出量矩阵相 乘, 得到待选取的压缩机的额定输出量之和;
获取待选取的压缩机的额定输出量之和不小于所述输出量需求阈值时 对应的多联机空调系统状态子矩阵;
计算获取的多联机空调系统状态子矩阵与多联机空调系统耗电量矩阵 的乘积, 得到相应的耗电量;
获取耗电量最小对应的多联机空调系统状态子矩阵, 选取该多联机空 调系统状态子矩阵中压缩机状态为 1的压缩机。
所述额定输出量包括: 额定制冷量以及额定制热量。 第 台压缩机的额定输出量函数计算公式为:
第 台压缩机的额定输出量对应的额定耗电量函数计算公式为:
Σ
其中,
}
Figure imgf000007_0001
式中,
为第 台压缩机的第 ·种运行状态, ¾=0, 表示该压缩机处于关机状 态, 或¾=1, 表示该压缩机处于开机状态;
为第 台压缩机的额定输出量;
为多联机空调系统中, 第 台压缩机具有的额定输出量数;
为第 台压缩机的额定耗电量。
计算所述使选取的压缩机的额定输出量之和不小于所述输出量需求阈 值, 并使选取的压缩机的额定耗电量之和最小的函数公式为:
MinZ = ^= ∑ 式中,
b为待选取的压缩机的额定输出量之和;
w为多联机空调系统中, 各压缩机具有的最多额定输出量数; m为多联机空调系统包含的压缩机台数; 其中,
ς和 1¾为常量, ¾为变量, 获取变量 ¾等于 1时对应的 , 为最终选取 的第 台压缩机, 获取变量 ¾等于 1时对应的 为该最终选取的第 台压缩 机运行时对应的运转 态。
第 i台压缩机的额定输出量矩阵计算公式为:
Figure imgf000007_0002
第 台压缩机的额定输出量对应的额定耗电量矩阵计算公式为
C,
|_ ¾ · · ·
Figure imgf000008_0001
计算所述使选取的压缩机的额定输出量之和不小于所述输出量需求阈 值, 并使选取的压缩机的额定耗电量之和最小的矩阵公式为:
阵;
阵。
Figure imgf000008_0002
一种优化多联机空调系统中压缩机运行控制的装置, 该装置包括: 第 一参数获取模块、 第二参数获取模块以及选取模块, 其中,
第一参数获取模块, 用于获取多联机空调系统中各压缩机的额定输出 量信息及额定耗电量信息, 输出至选取模块;
第二参数获取模块, 用于获取所需的输出量需求阈值, 输出至选取模 块; 选取模块, 用于选取压缩机及其运行频率, 使选取的压缩机的额定输 出量之和不小于所述输出量需求阈值, 并使选取的压缩机的额定耗电量之 和最小。
进一步包括: 第三参数获取模块以及调整模块, 其中,
第三参数获取模块, 用于获取各压缩机运行时间信息, 输出至调整模 块;
调整模块, 用于根据第三参数获取模块的输出, 统计满足预先设置的 运行时间条件的压缩机, 根据预先设置的该运行时间条件对应的调整量, 调整第一参数获取模块中获取的该压缩机的额定耗电量, 并触发选取模块 进行重新选取。
所述选取模块包括: 参数矩阵获取单元、 拆分单元、 第一计算单元、 比较单元、 第二计算单元以及选取单元, 其中,
参数矩阵获取单元, 用于分别获取由压缩机状态组成的多联机空调系 统状态矩阵、 多联机空调系统输出量矩阵以及多联机空调系统耗电量矩阵; 拆分单元, 用于以压缩机状态为变量, 将多联机空调系统状态矩阵拆 分为多个多联机空调系统状态子矩阵;
第一计算单元, 用于将拆分的子矩阵与多联机空调系统输出量矩阵相 乘, 得到待选取的压缩机的额定输出量之和;
比较单元, 用于获取待选取的压缩机的额定输出量之和不小于所述输 出量需求阈值时对应的多联机空调系统状态子矩阵;
第二计算单元, 用于计算获取的多联机空调系统状态子矩阵与多联机 空调系统耗电量矩阵的乘积, 得到相应的耗电量;
选取单元, 用于获取耗电量最小对应的多联机空调系统状态子矩阵, 选取该多联机空调系统状态子矩阵中压缩机状态为 1的压缩机。
所述调整模块包括: 阈值存储单元、 判断单元以及调整单元, 其中, 阈值存储单元, 用于存储预先设置的第一运行时间子条件阈值、 第二 运行时间子条件阈值、 第三运行时间子条件阈值以及第四运行时间子条件 阈值;
判断单元, 如果压缩机累积的运行时间与系统内最短累积运行时间的 运行时间差大于第一运行时间子条件阈值而小于第二运行时间子条件阈 值, 向调整单元输出第一调整信息;
如果压缩机累积的运行时间与系统内最短累积运行时间的运行时间差 大于或等于第二运行时间子条件阈值而小于第三运行时间子条件阈值, 向 调整单元输出第二调整信息;
如果压缩机累积的运行时间与系统内最短累积运行时间的运行时间差 大于或等于第三运行时间子条件阈值而小于第四运行时间子条件阈值, 向 调整单元输出第三调整信息;
如果压缩机累积的运行时间与系统内最短累积运行时间的运行时间差 大于或等于第四运行时间子条件阈值, 向调整单元输出第四调整信息; 调整单元, 用于接收第一调整信息, 将该压缩机在每种工况下的额定 耗电量上调预先设定的第一百分比阈值; 接收第二调整信息, 将该压缩机 在每种工况下的额定耗电量上调预先设定的第二百分比阈值; 接收第三调 整信息, 将该压缩机在每种工况下的额定耗电量上调预先设定的第三百分 比阈值; 接收第四调整信息, 将该压缩机在每种工况下的额定耗电量上调 预先设定的第四百分比阈值。
由上述技术方案可见, 本发明实施例提供的一种优化多联机空调系统 中压缩机运行控制的方法及装置, 获取多联机空调系统中各压缩机的额定 输出量信息及额定耗电量信息; 获取所需的输出量需求阈值; 选取压缩机, 使选取的压缩机的额定输出量之和不小于所述输出量需求阈值, 并使选取 的压缩机的额定耗电量之和最小。 这样, 通过综合考虑各压缩机的额定输 出量及其对应的额定耗电量, 从而选择最节能的压缩机运行组合, 提高了 多联机空调系统的能效比。 附图说明
为了更清楚地说明本发明实施例或现有技术中的技术方案,以下将对 实施例或现有技术描述中所需要使用的附图作筒单地介绍。 显而易见地, 以下描述中的附图仅仅是本发明的一些实施例,对于本领域普通技术人员 而言, 还可以根据这些附图所示实施例得到其它的实施例及其附图。
图 1为现有优化多联机空调系统中压缩机运行控制的方法流程示意图。 图 2 为本发明实施例优化多联机空调系统中压缩机运行控制的方法流 程示意图。
图 3 为本发明实施例优化多联机空调系统中压缩机运行控制的装置结 构示意图。 具体实施方式
以下将结合附图对本发明各实施例的技术方案进行清楚、 完整的描 述, 显然, 所描述的实施例仅仅是本发明的一部分实施例, 而不是全部的 实施例。基于本发明中的实施例, 本领域普通技术人员在没有做出创造性 劳动的前提下所得到的所有其它实施例, 都属于本发明所保护的范围。
随着国家对节能减排的日益重视, 用户也越来越关注反映多联机空调 系统综合性能的能效比指标, 即在额定工况和规定条件下, 多联机空调系 统的输出量与输入功率的比值,能效比越大,表明多联机空调系统越节能。 而现有优化多联机空调系统的方法, 没有考虑系统的能效比, 使得系统在 满足所需的输出量需求阈值时, 其能耗可能较大。 本发明实施例中, 通过 综合考虑各压缩机的额定输出量及其对应的额定耗电量, 在选取的各压缩 机的额定输出量之和不小于输出量需求阈值的条件下, 进一步使选取的各 压缩机的额定耗电量最小, 从而优化选择最节能的压缩机运行组合, 提高 多联机空调系统的能效比。
所应说明的是, 本发明实施例提出的优化多联机空调系统中压缩机运 行的方法, 不仅可以应用于模块组合型空调系统, 也可以应用于多压缩机 空调系统。
图 2 为本发明实施例优化多联机空调系统中压缩机运行控制的方法流 程示意图。 参见图 2 , 该流程包括:
步骤 201 ,获取多联机空调系统中各压缩机的额定输出量信息及额定耗 电量信息;
本步骤中, 多联机空调系统包含有多个压缩机, 每一压缩机在不同的 工况下, 具有不同的额定输出量, 但在某一运行时间段内, 压缩机的工况 是确定的, 具有确定的额定输出量, 也就是说, 只能在某一额定输出量下 运行。
额定输出量包括: 额定制冷量以及额定制热量。
本发明实施例中, 在多联机空调系统中, 设第 台压缩机的第 _种运行 状态为 ¾ , 即压缩机的第 _/种运行频率 (或转速) , 并设 ¾为 1时, 表示该 压缩机在该频率下处于运行状态, 即处于开机状态, 为 0 时, 表示该压 缩机在该频率下处于停止状态, 即处于关机状态。
实际应用中, 压缩机在任何时间段内, 或者处于开机状态, 或者处于 关机状态。 当该压缩机的第 _ /种运行状态 ¾为 1时, 表示处于运行状态, 输 出相应的额定输出量 , 以及, 产生相应的额定耗电量 , 而对于其他工 况, 压缩机的运行状态¾为 0, 表示该压缩机处于关机状态。 也就是说, 只 有在该压缩机处于开机状态时, 才能具有额定输出量。
则用函数表达式表示第 台压缩机的额定输出量及该额定输出量对应 的额定耗电量, 即压缩机的额定输出量信息的函数表达式为:
Figure imgf000012_0001
其中,
e{0,l}
式中,
为第 台压缩机的第 ·种运行状态, 即压缩机的第 ·种运行频率(或转 速) , 1;
A为第 台压缩机的状态, 为整数且小于或等于 1, A为 1表示该压缩机 处于开机状态, A为 0表示该压缩机处于关机状态, 即该台压缩机在各种工 况下, 最多只有一种工况下是处于开机状态的;
为第 台压缩机的额定输出量, 该台压缩机在第 ·种工况下, 额定输出 量为
为多联机空调系统中, 第 台压缩机具有的额定输出量数, 亦即具有 的工况数。 例如, 如前所述, 压缩机 A具有的额定输出量数为 7, k = T, 压缩机 B具有的额定输出量数为 8, 则 =8;压缩机 C具有的额定输出量数 为 1, 则 =1;
为第 台压缩机的额定耗电量, 该台压缩机在第 _/种工况下, 额定耗电 量为 ■。
相应地, 第 台压缩机的额定输出量及该额定输出量对应的额定耗电量 用矩阵表达为:
· · ·
Figure imgf000012_0002
Figure imgf000013_0001
步骤 202 , 获取所需的输出量需求阈值;
本步骤中, 设所需的输出量需求阈值为 即在某一工况下, 需要多联 机空调系统提供的总输出量。
步骤 203 , 选取压缩机, 使选取的压缩机的额定输出量之和不小于所述 输出量需求阈值, 并使选取的压缩机的额定耗电量之和最小。
本步骤中, 选取压缩机及其运行频率, 使选取的压缩机的额定输出量 之和不小于所述输出量需求阈值, 并使选取的压缩机的额定耗电量之和最 小 可以通过构造如下函数组进行求解: ^ =∑¾ =∑(∑¾¾)
7=1
=Σ(Σ^) 式中,
b为待选取的压缩机的额定输出量之和;
w为多联机空调系统中, 各压缩机具有的最多额定输出量数, 例如, 如 前所述, 压缩机 A具有的额定输出量数为 7, 压缩机 B具有的额定输出量 数为 8 , 压缩机 C具有的额定输出量数为 1 , 则《 = 8 ;
为多联机空调系统包含的压缩机台数, 本发明实施例中, m = 3。 该函数组中, (^和!^为常量, 为变量, 满足 ¾ e {0,l}且^ ^≤1。
7=1
通过求解上述函数组, 获取变量 ¾等于 1时对应的 , 为最终选取的第 台压缩机, 获取变量¾等于 1时对应的 · , 为该最终选取的第 台压缩机运 行时对应的运转状态, 即对应的频率或转速, 获知该工况后, 可以获取该 工况对应的额定输出量信息以及额定耗电量信息。
第 i台压缩机的额定 计算公式为:
Figure imgf000013_0002
第 台压缩机的额定制热量对应的额定耗电量矩阵计算公式为:
C,
Zi ~ I ¾ · · · Xi(k-l) Xik
Figure imgf000014_0001
Xl l
为多联机空调系统状态矩阵, Xln m-\)n mn
为状态参数; 多联机空调系统输出量矩阵;
多联机空调系统耗电量矩阵 ,
Figure imgf000014_0002
使选取的压缩机的额定输出量之和不小于所述输出量需求阈值, 并使 选取的压缩机的额定耗电量之和最小可以具体包括:
Al l , 分别获取由压缩机状态组成的多联机空调系统状态矩阵、 多联机 空调系统输出量矩阵以及多联机空调系统耗电量矩阵;
A12 , 以压缩机状态为变量, 将多联机空调系统状态矩阵拆分为多个多 联机空调系统状态子矩阵, 并将拆分的子矩阵与多联机空调系统输出量矩 阵相乘, 得到待选取的压缩机的额定输出量之和; 本步骤中, 多联机空调系统状态矩阵中, 每一压缩机在任一工况下的 状态发生变化, 相应构成一个多联机空调系统状态子矩阵。 因而, 如果第 台压缩机具有的额定输出量数为 4 , 多联机空调系统包含 台压缩机, 则总 共构成的多联机空调系统状态子矩阵数量 B为:
5 = Π( + ΐ)
A13 ,获取待选取的压缩机的额定输出量之和不小于所述输出量需求阈 值时对应的多联机空调系统状态子矩阵;
A14,计算获取的多联机空调系统状态子矩阵与多联机空调系统耗电量 矩阵的乘积, 得到相应的耗电量;
A15 , 获取耗电量最小对应的多联机空调系统状态子矩阵, 选取该多联 机空调系统状态子矩阵中压缩机状态为 1的压缩机。
概括来说, 上数矩阵的约束条件文字描述如下:
①每台压缩机(压机) 只能以一种工况(频率)运行: 多联机空调系 统状态矩阵中, 每行状态参数值之和为 1或 0;
②多联机空调系统输出量大于或等于输出量需求阈值;
③多联机空调系统状态矩阵中, 每个状态参数为二进制, 即对于每台 压机而言, 或开机, 或关机。
在上述矩阵中, 如果某一压缩机的额定输出量数小于最多额定输出量 数, 则在相应矩阵中的位置, 以 0进行填充, 例如, 对于包含压缩机人、 压缩机 B和压缩机 C的多联机空调系统来说, 多联机空调系统输出的总^ 出量 6 :
D 31
χΙΊ 0 A. x3l 0 0 0
0 ¾ … 0
在该总输出量的情形下, 多联机空调系统的总耗电量 Z :
r c c 31
χΙΊ 0
r c
Z χ
x3l 0 0 0
0 C ¾ ... 0
使选取的压缩机的额定输出量之和不小于所述输出量需求阈值, 并使 选取的压缩机的额定耗电量之和最小对应的矩阵表达式为:
Figure imgf000016_0001
求解可以采用软件编程计算, 也可采用 excel进行模拟计算。
经过上述优化处理,分别得到 ¾ = 1、 x26 = l以及 x31 = l ,即最优的组合为: 压缩机 A的额定输出量为 4, 对应的额定耗电量为 2.1 , 压缩机 B的额定输 出量为 6, 对应的额定耗电量为 3.33 , 压缩机 C的额定输出量为 5 , 对应的 额定耗电量为 3.125 , 总的额定输出量为: 4+6+5=15 , 大于所需的输出量需 求阈值 14.49, 而总的额定耗电量为: 2.1+3.3+3.125=8.525。 而现有技术采 用压缩机 A的额定输出量为 7,对应的额定耗电量为 5 ,压缩机 B的额定输 出量为 8 ,对应的额定耗电量为 5.7 , 总的额定耗电量为: 5+5.7=10.7。 因而, 相比于现有相同的额定输出量, 本发明实施例的优化多联机空调系统的方 法, 可以节省耗电量为: 10.7-8.525=2.175 , 提高节电效率为: ( 10.7-8.525 ) /10.7=20%, 从而最大化发挥多联机空调系统的性能, 有效地提高了多联机 空调系统的能效比。
实际应用中, 如果压缩机的运行时间过长, 不仅导致多联机空调系统 中的各压缩机使用寿命不均匀, 影响整个多联机空调系统的可靠性, 而且, 也会导致该压缩机性能的下降。 本发明实施例中, 在多联机空调系统中, 进一步控制压缩机的运行时间, 在压缩机运行超过预先设置的时间阈值, 或者, 与系统中运行时间最短的压缩机的运行时间差超过预先设置的时间 差阈值时, 触发多联机空调系统重新进行优化处理, 将运行时间较长的压 缩机置于关机状态, 从而重新选择运行的压缩机, 使得各压缩机运行时间 趋于平衡。 因而, 该方法进一步包括:
步骤 204, 获取各压缩机运行时间信息;
本步骤中, 可以按照预先设置的时间周期, 例如, 每天统计一次处于 工作状态的压缩机的运行时间信息。
步骤 205 , 统计满足预先设置的运行时间条件的压缩机, 根据预先设置 的该运行时间条件对应的调整量, 调整该压缩机的额定耗电量; 本步骤中, 运行时间条件可以是压缩机累积的运行时间条件, 也可以 是压缩机连续运行时间条件, 还可以是该压缩机连续运行时间与系统内最 短连续运行时间的运行时间差条件。 当然, 实际应用中, 也可以采用其他 方式设置运行时间条件, 例如, 压缩机连续运行时间与系统内各压缩机的 连续运行平均时间的运行时间差条件, 或者是上述设置的任意组合。
对于每一运行时间条件, 较佳地, 可以设置多个运行时间子条件阈值。 例如, 对于将压缩机累积的运行时间与系统内最短累积运行时间的运行时 间差作为运行时间条件的情形, 设置四个运行时间子条件阈值, 分别为 100 小时、 200小时、 300小时以及 400小时。 贝 ij :
如果压缩机累积的运行时间与系统内最短累积运行时间的运行时间差 大于 100小时而小于 200小时, 满足第一运行时间子条件阈值, 设置该第 一运行时间子条件阈值对应的调整量为该压缩机的( 10±1 ) %, 即将该压缩 机在每种工况下的额定耗电量上调预先设定的第一百分比阈值;
如果压缩机累积的运行时间与系统内最短累积运行时间的运行时间差 大于或等于 200小时而小于 300小时, 满足第二运行时间子条件阈值, 设 置该第二运行时间子条件阈值对应的调整量为该压缩机的( 20±2 ) %, 即将 该压缩机在每种工况下的额定耗电量上调预先设定的第二百分比阈值; 如果压缩机累积的运行时间与系统内最短累积运行时间的运行时间差 大于或等于 300小时而小于 400小时, 满足第三运行时间子条件阈值, 设 置该第三运行时间子条件阈值对应的调整量为该压缩机的(30±3 ) %, 即将 该压缩机在每种工况下的额定耗电量上调预先设定的第三百分比阈值; 如果压缩机累积的运行时间与系统内最短累积运行时间的运行时间差 大于或等于 400 小时, 满足第四运行时间子条件阈值, 设置该第四运行时 间子条件阈值对应的调整量为该压缩机的( 50±5 ) %, 即将该压缩机在每种 工况下的额定耗电量上调预先设定的第四百分比阈值。
步骤 206, 根据额定耗电量的调整, 重新选取压缩机, 使选取的压缩机 的额定输出量之和不小于所述输出量需求阈值, 并使选取的压缩机的额定 耗电量之和最小。
本步骤的执行流程与步骤 203 相同, 设 为经过额定耗电量调整后的 第 台压缩机在 状态下的额定耗电量, 该台压缩机在第 ·种工况下, 额定 耗电量为(ς
Figure imgf000017_0001
, 其中, 为调整的额定耗电量参数, 例如, 对于上 述满足第一运行时间子条件阈值的压缩机, Δς,. = 0. ic,.。 这样, 通过重新构造如下函数组进行求解:
∑¾=∑(∑¾)≥δ
Figure imgf000018_0001
通过该函数组求解, 可以使得运行时间 (连续运行时间以及累计运行 时间)较长的压缩机被重新选择的概率较小, 使各压缩机实现平衡运行, 避免一些压缩机长期处于开机状态, 而另一些压缩机却长期处于关机状 态, 平衡了各压缩机的使用寿命; 同时, 使得多联机空调系统更节能, 优 化了多联机空调系统的运行参数, 充分发挥了多联机空调系统的制冷、 制 热能力; 而且, 该方法也并非筒单地根据输出量需求阈值, 对压缩机进行 平均分配, 而是充分多联机空调系统的耗电量, 在满足输出量需求阈值的 前提下, 使得多联机空调系统的耗电量最小, 有效减少了能源浪费。
对应的矩阵表达式为:
-^ll … D 11 A 2,1 … (m- ,l、),l D m ,l
b— … D22 … D^m_l 2 Dm2
≥b … D ,. D,
-^ll … (Cn+ACn)(C2l + AC2l) ... (C^+AC^iC^+AC^)
(Cl2+ACl2)(C2l+AC22) ... (C(m_l)2+AC(m_l)2)(Cml+ACm2)
MinZ: … (Cln+ACln)(C2n+AC2n) ... (C(m_l)n+AC(m_l)n)(Cmn+ACmn)_ 图 3 为本发明实施例优化多联机空调系统中压缩机运行控制的装置结 构示意图。 参见图 3, 该装置包括: 第一参数获取模块、 第二参数获取模块 以及选取模块, 其中,
第一参数获取模块, 用于获取多联机空调系统中各压缩机的额定输出 量信息及额定耗电量信息, 输出至选取模块;
本发明实施例中, 额定输出量包括: 额定制冷量以及额定制热量。 第二参数获取模块, 用于获取所需的输出量需求阈值, 输出至选取模 块;
选取模块, 用于选取压缩机及其运行频率, 使选取的压缩机的额定输 出量之和不小于所述输出量需求阈值, 并使选取的压缩机的额定耗电量之 和最小。
较佳地, 该装置进一步包括: 第三参数获取模块以及调整模块, 其中, 第三参数获取模块, 用于获取各压缩机运行时间信息, 输出至调整模 块;
调整模块, 用于根据第三参数获取模块的输出, 统计满足预先设置的 运行时间条件的压缩机, 根据预先设置的该运行时间条件对应的调整量, 调整第一参数获取模块中获取的该压缩机的额定耗电量, 并触发选取模块 进行重新选取。
其中,
选取模块包括: 参数矩阵获取单元、 拆分单元、 第一计算单元、 比较 单元、 第二计算单元以及选取单元 (图中未示出) , 其中,
参数矩阵获取单元, 用于分别获取由压缩机状态组成的多联机空调系 统状态矩阵、 多联机空调系统输出量矩阵以及多联机空调系统耗电量矩阵; 拆分单元, 用于以压缩机状态为变量, 将多联机空调系统状态矩阵拆 分为多个多联机空调系统状态子矩阵;
本发明实施例中, 多联机空调系统状态矩阵中, 每一压缩机在任一工 况下的状态发生变化, 相应构成一个多联机空调系统状态子矩阵。 因而, 果第 台压缩机具有的额定输出量数为 4 , 多联机空调系统包含 台压缩机, 则总共构成的多联机空调系统状态子矩阵数量 为:
5 = Π( + ΐ) 第一计算单元, 用于将拆分的子矩阵与多联机空调系统输出量矩阵相 乘, 得到待选取的压缩机的额定输出量之和;
比较单元, 用于获取待选取的压缩机的额定输出量之和不小于所述输 出量需求阈值时对应的多联机空调系统状态子矩阵;
第二计算单元, 用于计算获取的多联机空调系统状态子矩阵与多联机 空调系统耗电量矩阵的乘积, 得到相应的耗电量;
选取单元, 用于获取耗电量最小对应的多联机空调系统状态子矩阵, 选取该多联机空调系统状态子矩阵中压缩机状态为 1的压缩机。
较佳地, 调整模块包括: 阈值存储单元、 判断单元以及调整单元 (图 中未示出) , 其中,
阈值存储单元, 用于存储预先设置的第一运行时间子条件阈值、 第二 运行时间子条件阈值、 第三运行时间子条件阈值以及第四运行时间子条件 阈值;
判断单元, 如果压缩机连续运行时间与系统内最短连续运行时间的运 行时间差大于第一运行时间子条件阈值而小于第二运行时间子条件阈值, 向调整单元输出第一调整信息;
如果压缩机累积的运行时间与系统内最短累积运行时间的运行时间差 大于或等于第二运行时间子条件阈值而小于第三运行时间子条件阈值, 向 调整单元输出第二调整信息;
如果压缩机累积的运行时间与系统内最短累积运行时间的运行时间差 大于或等于第三运行时间子条件阈值而小于第四运行时间子条件阈值, 向 调整单元输出第三调整信息;
如果压缩机累积的运行时间与系统内最短累积运行时间的运行时间差 大于或等于第四运行时间子条件阈值, 向调整单元输出第四调整信息; 调整单元, 用于接收第一调整信息, 将该压缩机在每种工况下的额定 耗电量上调预先设定的第一百分比阈值; 接收第二调整信息, 将该压缩机 在每种工况下的额定耗电量上调预先设定的第二百分比阈值; 接收第三调 整信息, 将该压缩机在每种工况下的额定耗电量上调预先设定的第三百分 比阈值; 接收第四调整信息, 将该压缩机在每种工况下的额定耗电量上调 预先设定的第四百分比阈值。 发明的精神和范围。 这样, 倘若对本发明的这些修改和变型属于本发明权 利要求及其等同技术的范围之内, 则本发明也包含这些改动和变型在内。

Claims

权 利 要 求 书
1. 一种优化多联机空调系统中压缩机运行控制的方法, 其特征在于, 该方法包括:
获取多联机空调系统中各压缩机的额定输出量信息及额定耗电量信 息;
获取所需的输出量需求阈值;
选取压缩机及其运行频率, 使选取的压缩机的额定输出量之和不小于 所述输出量需求阈值, 并使选取的压缩机的额定耗电量之和最小。
2. 根据权利要求 1所述的方法, 其特征在于, 进一步包括:
获取各压缩机运行时间信息;
统计满足预先设置的运行时间条件的压缩机, 根据预先设置的该运行 时间条件对应的调整量, 调整该压缩机的额定耗电量;
根据额定耗电量的调整, 重新选取压缩机及其运行频率, 使选取的压 缩机的额定输出量之和不小于所述输出量需求阈值, 并使选取的压缩机的 额定耗电量之和最小。
3. 根据权利要求 2所述的方法, 其特征在于, 所述运行时间条件包括: 压缩机累积的运行时间条件、 压缩机连续运行时间条件以及该压缩机连续 运行时间与系统内最短连续运行时间的运行时间差条件中的一种或其任意 组合。
4. 根据权利要求 3所述的方法, 其特征在于, 所述压缩机累积的运行 时间条件包括: 第一运行时间子条件阈值至第四运行时间子条件阈值; 所 述根据预先设置的该运行时间条件对应的调整量, 调整该压缩机的额定耗 电量包括:
如果压缩机累积的运行时间与系统内最短累积运行时间的运行时间差 大于第一运行时间子条件阈值而小于第二运行时间子条件阈值, 将该压缩 机在每种工况下的额定耗电量上调预先设定的第一百分比阈值;
如果压缩机累积的运行时间与系统内最短累积运行时间的运行时间差 大于或等于第二运行时间子条件阈值而小于第三运行时间子条件阈值, 将 该压缩机在每种工况下的额定耗电量上调预先设定的第二百分比阈值; 如果压缩机累积的运行时间与系统内最短累积运行时间的运行时间差 大于或等于第三运行时间子条件阈值而小于第四运行时间子条件阈值, 将 该压缩机在每种工况下的额定耗电量上调预先设定的第三百分比阈值; 如果压缩机累积的运行时间与系统内最短累积运行时间的运行时间差 大于或等于第四运行时间子条件阈值, 将该压缩机在每种工况下的额定耗 电量上调预先设定的第四百分比阈值。
5. 根据权利要求 1至 4任一项所述的方法, 其特征在于, 所述使选取 的压缩机的额定输出量之和不小于所述输出量需求阈值, 并使选取的压缩 机的额定耗电量之和最小包括:
分别获取由压缩机状态组成的多联机空调系统状态矩阵、 多联机空调 系统输出量矩阵以及多联机空调系统耗电量矩阵;
以压缩机状态为变量, 将多联机空调系统状态矩阵拆分为多个多联机 空调系统状态子矩阵, 并将拆分的子矩阵与多联机空调系统输出量矩阵相 乘, 得到待选取的压缩机的额定输出量之和;
获取待选取的压缩机的额定输出量之和不小于所述输出量需求阈值时 对应的多联机空调系统状态子矩阵;
计算获取的多联机空调系统状态子矩阵与多联机空调系统耗电量矩阵 的乘积, 得到相应的耗电量;
获取耗电量最小对应的多联机空调系统状态子矩阵, 选取该多联机空 调系统状态子矩阵中压缩机状态为 1的压缩机。
6. 根据权利要求 5所述的方法, 其特征在于, 所述额定输出量包括: 额定制冷量以及额定制热量。
7. 根据权利要求 1至 4任一项所述的方法, 其特征在于,
第 台压缩机的额定输出量函数计算公式为:
第 台压缩机的额定输出量对应的额定耗电量函数计算公式为:
Σ 其中,
e {0,l }
式中,
为第 台压缩机的第 ·种运行状态, = 0, 表示该压缩机处于关机状 或¾ = 1 , 表示该压缩机处于开机状态;
为第 台压缩机的额定输出量;
为多联机空调系统中, 第 台压缩机具有的额定输出量数;
为第 台压缩机的额定耗电量。
8. 根据权利要求 7所述的方法, 其特征在于, 计算所述使选取的压缩 机的额定输出量之和不小于所述输出量需求阈值, 并使选取的压缩机的额 定耗电量之和最小的函数公式为:
Figure imgf000023_0001
式中,
b为待选取的压缩机的额定输出量之和;
w为多联机空调系统中, 各压缩机具有的最多额定输出量数; m为多联机空调系统包含的压缩机台数; 其中,
ς和 1¾为常量, ¾为变量, 获取变量 ¾等于 1时对应的 , 为最终选取 的第 台压缩机, 获取变量 ¾等于 1时对应的 为该最终选取的第 台压缩 机运行时对应的运转 态。
9. 根据权利要求 1至 4任一项所述的方法, 其特征在于,
第 i台压缩机的额定输出量矩阵计算公式为:
D.
D.
Figure imgf000023_0002
第 台压缩机的额定输出量对应的额定耗电量矩阵计算公式为
10. 根据权利要求一 9所述的方法, 其特征在于, 计算所述使选取的压 缩机的额定输出量之和不小于所述输出量需求阈值, 并使选取的压缩机的 额定耗电量之和最小的矩阵公式为:
Figure imgf000024_0001
xn … 1) 21 (m-l)l
c1 c. (m-l)2
MinZ
c c 其中,
l l ½ ··
21 为多联机空调系统状态矩阵;
为多联机空调系统输出量矩阵;
为多联机空调系统耗电量矩阵 ,
Figure imgf000024_0002
11. 一种优化多联机空调系统中压缩机运行控制的装置, 其特征在于, 该装置包括: 第一参数获取模块、 第二参数获取模块以及选取模块, 其中, 第一参数获取模块, 用于获取多联机空调系统中各压缩机的额定输出 量信息及额定耗电量信息, 输出至选取模块; 第二参数获取模块, 用于获取所需的输出量需求阈值, 输出至选取模 块;
选取模块, 用于选取压缩机及其运行频率, 使选取的压缩机的额定输 出量之和不小于所述输出量需求阈值, 并使选取的压缩机的额定耗电量之 和最小。
12. 根据权利要求 1 1所述的装置, 其特征在于, 进一步包括: 第三参 数获取模块以及调整模块, 其中,
第三参数获取模块, 用于获取各压缩机运行时间信息, 输出至调整模 块;
调整模块, 用于根据第三参数获取模块的输出, 统计满足预先设置的 运行时间条件的压缩机, 根据预先设置的该运行时间条件对应的调整量, 调整第一参数获取模块中获取的该压缩机的额定耗电量, 并触发选取模块 进行重新选取。
13. 根据权利要求 11或 12所述的装置, 其特征在于, 所述选取模块 包括: 参数矩阵获取单元、 拆分单元、 第一计算单元、 比较单元、 第二计 算单元以及选取单元, 其中,
参数矩阵获取单元, 用于分别获取由压缩机状态组成的多联机空调系 统状态矩阵、 多联机空调系统输出量矩阵以及多联机空调系统耗电量矩阵; 拆分单元, 用于以压缩机状态为变量, 将多联机空调系统状态矩阵拆 分为多个多联机空调系统状态子矩阵;
第一计算单元, 用于将拆分的子矩阵与多联机空调系统输出量矩阵相 乘, 得到待选取的压缩机的额定输出量之和;
比较单元, 用于获取待选取的压缩机的额定输出量之和不小于所述输 出量需求阈值时对应的多联机空调系统状态子矩阵;
第二计算单元, 用于计算获取的多联机空调系统状态子矩阵与多联机 空调系统耗电量矩阵的乘积, 得到相应的耗电量;
选取单元, 用于获取耗电量最小对应的多联机空调系统状态子矩阵, 选取该多联机空调系统状态子矩阵中压缩机状态为 1的压缩机。
14. 根据权利要求 11或 12所述的装置, 其特征在于, 所述调整模块 包括: 阈值存储单元、 判断单元以及调整单元, 其中,
阈值存储单元, 用于存储预先设置的第一运行时间子条件阈值、 第二 运行时间子条件阈值、 第三运行时间子条件阈值以及第四运行时间子条件 阈值;
判断单元, 如果压缩机累积的运行时间与系统内最短累积运行时间的 运行时间差大于第一运行时间子条件阈值而小于第二运行时间子条件阈 值, 向调整单元输出第一调整信息;
如果压缩机累积的运行时间与系统内最短累积运行时间的运行时间差 大于或等于第二运行时间子条件阈值而小于第三运行时间子条件阈值, 向 调整单元输出第二调整信息;
如果压缩机累积的运行时间与系统内最短累积运行时间的运行时间差 大于或等于第三运行时间子条件阈值而小于第四运行时间子条件阈值, 向 调整单元输出第三调整信息;
如果压缩机累积的运行时间与系统内最短累积运行时间的运行时间差 大于或等于第四运行时间子条件阈值, 向调整单元输出第四调整信息; 调整单元, 用于接收第一调整信息, 将该压缩机在每种工况下的额定 耗电量上调预先设定的第一百分比阈值; 接收第二调整信息, 将该压缩机 在每种工况下的额定耗电量上调预先设定的第二百分比阈值; 接收第三调 整信息, 将该压缩机在每种工况下的额定耗电量上调预先设定的第三百分 比阈值; 接收第四调整信息, 将该压缩机在每种工况下的额定耗电量上调 预先设定的第四百分比阈值。
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