Power pack system and power pack system optimization method

[0047] Example 1:

[0048] figure 1 is a schematic structural diagram of the power pack system provided by the first embodiment of the present invention, figure 2 Yes figure 1 Schematic diagram of the structure and connection relationship of the control equipment of the power pack; such as Figures 1 to 2 As shown, the present embodiment provides a power pack system, which can be applied to the cooling system of the factory pipe network of a power plant, which may specifically include:

[0049]Load equipment, which can be used as the execution equipment of the power pack system to cool down the heat source in the power plant; for example, the load equipment can be a large fan and/or a condensate pump and/or compressor in the power plant and other instruments and equipment .

[0050] The driving device can be connected to the above-mentioned load device through a transmission device (such as a bearing transmission system, etc.) to drive the load device to work; for example, the driving device can be an electric motor (such as an induction motor, etc.) The electric energy is used to drive the above-mentioned load equipment such as the fan and/or the condensate pump and/or the compressor to work, so as to perform heat dissipation and cooling treatment on the heat source.

[0051] The frequency converter can be connected with the above-mentioned driving equipment through a filter, so as to control the operation of the driving equipment by adjusting the energy delivered to the driving equipment, for example, by adjusting the electrical energy (such as voltage, current and other electrical parameters) obtained by the motor to Adjust the rotational speed of the induction motor (ie the electric motor), and then adjust the operation of the load equipment such as the fan and/or the condensate pump and/or the compressor (generally adjust the rotational speed).

[0052] The power pack control equipment is respectively connected with the above-mentioned load equipment, drive equipment, frequency converter and other components to obtain and according to the parameters of each equipment in the power pack system (which may include the preset attribute parameters of its own equipment and the current working parameters). real-time operating parameters, etc.), and output optimization instructions to the load device and/or the drive device and/or the inverter, so as to optimize the operation efficiency of the power pack system.

[0053] A remote monitoring device (which may include components such as a display device and an input device) is connected to the above-mentioned power pack control device for inputting working condition parameters set according to actual needs into the power pack control device (the above-mentioned input can be used) equipment (such as keyboard, mouse, touch screen, etc.), and can also be used to display relevant parameter information such as the current working state of the power pack system.

[0054] Preferably, the above-mentioned power pack control device may include components such as a power pack system parameter model unit, an intelligent system state observer, an intelligent operation mode generator, and an intelligent prediction compensator, and the power pack system parameter model unit may store the power pack system parameter model unit. The attribute parameters of each equipment in the package system, the intelligent system state observer can be respectively connected with each equipment in the power package system to obtain the real-time operation parameters of the equipment in real time, and the intelligent operation mode generator can are respectively connected with the power pack system parameter model unit and the intelligent system state observer; at the same time, the intelligent prediction compensator can be respectively connected with the intelligent system state observer, the intelligent operation mode generator and the frequency converter connection; specifically:

[0055] The above-mentioned intelligent system state observer stores a mathematical observation model based on the accurate parameters of the power pack system, so as to output the current actual operation efficiency according to the real-time operation parameters and the mathematical observation model; the intelligent operation mode generator according to The received attribute parameters, the real-time operating parameters, the current actual operating efficiency and the working condition parameters output the theoretical optimal command and the next time unit efficiency theoretical value; the intelligent prediction compensator according to the received current actual The operational efficiency and the theoretical value of the next time unit efficiency compensate the theoretical optimal command to output the optimal command to the load device and/or the drive device and/or the frequency converter.

[0056] Further, the above-mentioned intelligent system state observer can be respectively connected with the load equipment and the drive equipment in the power pack system through sensors to obtain real-time operating parameters of the load equipment and the drive equipment. The real-time operating parameters of the equipment; and the intelligent system state observer is directly connected to the inverter through communication to obtain the real-time operating parameters of the inverter.

[0057] The power pack system in this embodiment is a power pack control system that can optimize the control strategy based on the whole system integration. Through the organic cooperation of key technologies, the tracking control of the optimal efficiency of the system can be realized, for example:

[0058] 1) The intelligent system state observer in this embodiment is different from the traditional single equipment state observer, but is built on the basis of the entire power package system (for example, it may include frequency converters, induction motors, fans, condensate pumps, compressors, etc.) ) mathematical observation model of accurate parameters, and the actual operating parameters obtained from sensor feedback can be used to comprehensively evaluate the operating efficiency of each equipment and calculate the system to obtain the operating efficiency of each equipment and the overall system.

[0059] 2) The intelligent system operation mode generator in this embodiment is different from the state in which the control model setting is completed under the traditional control strategy and will not change, that is, the intelligent system operation mode generator can be based on the accurate parameter model and the actual working condition, An integrated control model corresponding to each working condition is established, the optimal control instructions under each working condition are determined, and the instruction table is made and stored in the central processing unit to adjust the operating status of each equipment in stages.

[0060] 3) The intelligent prediction compensator in this embodiment can perform discrete processing on the entire adjustment process, that is, in each unit of adjustment time, according to the system operation parameters obtained by the system state observer, predict the operation parameters of the next time element, combined with Under the premise of ensuring the stability and reliability of the intelligent adjustment process, the adjustment process can be further accelerated, and at the same time, the smooth operation of the equipment in the system can be ensured.

[0061] The speed estimation module can establish a mathematical model based on the accurate parameters of the power pack motor, and combine the given reference frequency and the actual obtained voltage, current and other parameters to estimate the motor speed and position, and then obtain the motor in the open-loop state. Approximate value of current speed.

[0062] Preferably, the above-mentioned load observation module can establish a mathematical observation model based on the accurate parameters of each equipment in the power package, and can use a high-order sliding mode controller to ensure continuous smoothness and rapid response of the control variables.

[0063] Preferably, the above-mentioned resonance suppression compensation controller can obtain the input frequency of the motor by processing the observed load (such as the fan and/or condensate pump and/or compressor, etc.) rotational speed and the torsion angle of the drive shaft. The amount of compensation can be fine-tuned, and can be matched with the filter set between the VF current distribution module and the driving device (that is, the power supply that provides electrical energy is connected to the VF current distribution module and the resonance suppression compensation controller, respectively, and the VF current distribution module is in turn passed through such as Components such as filters, SVPWM modules and inverters are then connected to the induction motor to provide electrical energy to the induction motor to run, and then use the induction motor to drive load equipment such as fans) to reduce the harmonic components that cause torsional vibration, and then achieve The speed is controlled smoothly to suppress the occurrence of unfavorable phenomena such as shaft torsional vibration in the system.

[0064] It should be noted that this embodiment is only described by taking the factory pipe network cooling system of a power plant as an example, but those skilled in the art should know that the technical solutions described in this application can be combined with the related information described in this application based on known knowledge. The content can also be applied to other power station systems that can realize frequency conversion. Since their basic principles are relatively similar, they are not repeated here for the sake of brevity.

[0065] Embodiment 2

[0066] image 3 This is the flow chart of the power pack system optimization method provided by the second embodiment of the present invention. The same or corresponding technical features can be mutually applicable), which can be applied to the cooling of heat sources such as power plants, such as Figures 1 to 3 As shown, the above-mentioned power pack system optimization method may include:

[0067] First, after optimizing and matching each device in the power pack system, the attribute parameters of each device can be input into the power pack system parameter model unit.

[0068] Secondly, the real-time operating parameters of each device in the power pack system can be obtained by using an intelligent system state observer that stores a mathematical observation model based on the accurate parameters of the power pack system, and the intelligent system state observer is based on the mathematical observation The model outputs the current actual operating efficiency according to the real-time operating parameters and the attribute parameters.

[0069] After that, according to the input operating condition parameters, the intelligent operation mode generator can output the theoretical optimal instruction to the load equipment and/or the drive equipment by using the received attribute parameters, the real-time operation parameters and the current actual operation efficiency and/or frequency converter to optimize the operating efficiency of the power pack system.

[0070] Further, an intelligent prediction compensator can be used to compensate the theoretical optimal command according to the received current actual operating efficiency and the theoretical value of the efficiency of the next time unit, so as to output the optimal command to the load device and/or Drive equipment and/or frequency converters to optimize the operating efficiency of the power pack system.

[0071] Further, a remote monitoring device can be used to input the working condition parameters to the intelligent operating mode generator and display the current working state of the power pack system.

[0072] Specifically, first of all, when selecting each device in the power pack system, the parameters of each device can be optimized and matched, and the key parameters (ie attribute parameters) of each device can be written into the intelligent central controller (such as the power pack system parameter model). unit) for the internal modeling of the central controller; secondly, the key operating parameters (ie real-time operating parameters) of the motor, condensate pump, etc. can be obtained through sensors, and the operating parameters of the inverter (ie, real-time operating parameters) can be obtained through communication. , and send the key parameters to the observer entrance of the central controller (that is, to the intelligent system state observer) for evaluating the actual operating efficiency of the system (current real-time operating efficiency) and actual key operating parameters (ie, real-time operating parameters) ; After that, in the power package customization stage, according to the actual needs, the on-site working condition parameters can be input into the central controller (ie, the intelligent operation mode generator) to establish the optimal command table corresponding to different working conditions, corresponding to each The optimal efficiency that can be achieved theoretically by the system under operating conditions. Finally, in the actual operation process, the intelligent operation mode generator module conducts a comprehensive evaluation according to the received real-time operation parameters, current actual operation parameters and public parameters, etc., and outputs the theoretical optimal command to the frequency converter and/or drive equipment and/or Cool load equipment for optimal operation of the power pack system operating efficiency.

[0073] Further, in order to further optimize the operation efficiency of the power pack system, the intelligent prediction compensator can be used in the working condition adjustment stage, in a single discrete time unit, according to the current actual operating parameters obtained by the intelligent system state observer and the intelligent operation mode. The theoretical value of the operating efficiency of the next time unit output by the controller and the calculation parameters of the internal theoretical model, track the efficiency deviation, and output the compensation command to compensate for the theoretical optimal command, so that the power pack system can approach or even reach the next time unit. The theoretical value of operating efficiency for the next time unit.

[0074] Figure 4 It is a schematic structural diagram of the optimization when the condensate pump is used as the load device in the embodiment of the present invention; in order to clarify the technical solution of the present application in more detail, the following will take the load device as the condensate pump to describe in detail, such as Figure 4 shown:

[0075] The default is that the condensate pump is adjusted from the rated state to the light load state, and Tn is defined as the current time unit, and within the time Tn+1, the central controller can obtain the corresponding optimal control command according to the actual load; first, in the first In the first stage, the load efficiency mode is optimized, and the inverter and the induction motor can be adjusted to make the condensate pump run in the optimal efficiency state that meets the working conditions; secondly, in the second stage, the operating parameters of the condensate pump are kept unchanged, and the maximum efficiency of the induction motor is tracked. Efficiency, compensate and adjust the optimal command, adjust the output of the inverter, realize the optimization of the induction motor excitation, and minimize the loss; finally, the optimal efficiency of the system is tracked in the third stage, that is, on the premise of satisfying the working conditions, consider the frequency conversion as a whole. The loss of the inverter and the induction motor is adopted, and the optimal switching frequency and the optimal current command are adopted to minimize the total loss of the power pack system.