An intelligent and efficient dual-turbine ORC power generation equipment and control method
By analyzing the steam pressure data of ORC power generation equipment, calculating the evaporation fluctuation effect and adjusting the proportional parameters of the PID control algorithm, the steam pressure fluctuation problem caused by the traditional PID control algorithm is solved, and the power generation efficiency is improved.
Patent Information
- Application Number
- CN202510051641.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-14
- Publication Date
- 2025-03-25
- Estimated Expiration
- 2045-01-14
AI Technical Summary
Traditional PID control algorithms are prone to fluctuations in ORC power generation equipment, which can affect the stability of the power generation load and lead to low power generation efficiency.
By collecting steam pressure data of dual turbine ORC power generation equipment, analyzing evaporation unevenness, fluctuation trend and backward difference, calculating the evaporation fluctuation effect, and adjusting the proportional parameters of the PID control algorithm to achieve more precise control of steam pressure.
The control accuracy of steam pressure in ORC power generation equipment is improved, load imbalance is avoided, and power generation efficiency is improved.
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Figure CN119467044B_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of low-temperature waste heat power generation, and in particular to an intelligent and efficient dual-turbine ORC power generation equipment and a control method. Background Art
[0002] Organic Rankine Cycle (ORC) power generation is a thermodynamic cycle process that uses low-boiling-point organic matter as the working medium, and realizes the conversion between thermal energy and mechanical energy or electrical energy through the state change of the working medium in the cycle. ORC can improve the utilization efficiency of lower temperature heat sources through the low boiling point and high steam characteristics of organic working fluids, and can effectively recover and utilize a large amount of low-temperature waste heat resources, which has a significant effect on energy conservation and emission reduction, environmental protection, and reducing operating costs for enterprises.
[0003] For the control of ORC power generation equipment, the PID (Proportional Integral Derivative) control algorithm is generally used to adjust the pressure of the working fluid steam in the ORC evaporator to ensure the load stability of the power generation equipment. However, the traditional PID control algorithm with fixed proportional parameters is prone to overshoot, causing the pressure of the working fluid steam to fluctuate, thereby causing the power generation load to fluctuate and the power generation efficiency of the generator to be low. Summary of the invention
[0004] In order to solve the above technical problems, the purpose of this application is to provide an intelligent and efficient dual-turbine ORC power generation equipment and control method. The technical solutions adopted are as follows:
[0005] In a first aspect, an embodiment of the present application provides an intelligent and efficient dual-turbine ORC power generation equipment control method, the method comprising the following steps:
[0006] Collect the steam pressure at each time in each cycle between the evaporator and the expansion generator set of the twin-turbine ORC power generation equipment;
[0007] Based on the difference between the steam pressure at each moment in each cycle and the steam pressure at the adjacent moments, the evaporation unevenness of the steam pressure at each moment in each cycle is determined; the evaporation unevenness of all elements in the evaporation pressure sequence is combined into an evaporation unevenness sequence;
[0008] Analyze the trend distribution of each element and its neighboring elements in the evaporation unevenness sequence, as well as the average level of each element and its neighboring elements, and determine the fluctuation trend of each element in the evaporation unevenness sequence of each period;
[0009] Analyze the difference in the fluctuation trend of each element in the evaporation uneven sequence and the elements after it, and determine the backward difference degree of each element in the evaporation uneven sequence of each period;
[0010] The evaporation fluctuation effect of the evaporator steam pressure in each period is determined by the trend of the backward difference degree of all elements in the evaporation unevenness sequence of each period and the difference in the fluctuation trend of the first and last elements;
[0011] The proportional parameter of the PID control algorithm is adjusted based on the evaporation fluctuation effect to control the dual-turbine ORC power generation equipment.
[0012] In one embodiment, the determination of the evaporation unevenness includes:
[0013] The difference in steam pressure between each moment and a preset number of moments before it is calculated respectively, and recorded as a first difference. The evaporation unevenness is the average of all the first differences at each moment.
[0014] In one embodiment, the first difference is the absolute value of the difference between the steam pressure at each moment and the steam pressure at a preset number of moments before that moment.
[0015] In one embodiment, the determination of the fluctuation trend amount includes:
[0016] The trend item of each element in the uneven evaporation sequence is obtained, the range value of the trend item of each element in the uneven evaporation sequence and all adjacent elements is calculated, and the fluctuation trend amount is determined by combining the range value and the average level.
[0017] In one embodiment, the fluctuation trend amount is the product of the extreme value and the average level.
[0018] In one embodiment, the determination of the backward difference comprises:
[0019] For any element in the uneven evaporation sequence, the difference between the fluctuation trend amount of the any element and the fluctuation trend amounts of all elements after it in the uneven evaporation sequence is calculated, recorded as the first difference, and the average of all the first differences of the any element is determined as the backward difference degree of the any element.
[0020] In one embodiment, the determination of the evaporation fluctuation effect amount includes:
[0021] The difference in the fluctuation trend between the last element and the first element in the evaporation unevenness sequence of each period is recorded as the second difference, and the mean of the backward difference between the first half of the elements and the second half of the elements in the evaporation unevenness sequence of each period is calculated respectively, recorded as the front mean and the rear mean;
[0022] The sum of the front mean and a preset value greater than 0 is calculated, the ratio of the rear mean to the sum is calculated, and the evaporation fluctuation effect amount is determined by combining the ratio with the second difference.
[0023] In one embodiment, the evaporation fluctuation effect amount is the product of the second difference and the ratio.
[0024] In one embodiment, adjusting the proportional parameter of the PID control algorithm based on the evaporation fluctuation effect comprises:
[0025] The proportional parameter of the PID control algorithm in each cycle is the product of the normalized value of the evaporation fluctuation effect amount in each cycle and the proportional parameter of the PID control algorithm in the previous cycle of each cycle.
[0026] In a second aspect, an embodiment of the present application further provides an intelligent and efficient dual-turbine ORC power generation equipment, including an evaporator, an expansion generator set, a condenser, a working fluid pump, and a booster pump. The control of the ORC power generation equipment implements the steps of any one of the above-mentioned methods.
[0027] This application has at least the following beneficial effects:
[0028] The present application collects the steam pressure at each moment in each cycle between the evaporator and the expansion generator set of the dual-turbine ORC power generation equipment; based on the difference in steam pressure at each moment in each cycle and its adjacent moments, determines the evaporation unevenness of the steam pressure at each moment in each cycle; the evaporation unevenness reflects the variation of the steam pressure at each moment relative to the steam pressure at the historical moment, reflects the necessary degree of adjustment of the steam pressure at each moment, and improves the reliability of subsequent adjustment and control of the steam pressure; the evaporation unevenness of all elements in the evaporation pressure sequence is combined into an evaporation unevenness sequence; the trend distribution of each element and its adjacent elements in the evaporation unevenness sequence, as well as the average level of each element and its adjacent elements, are analyzed to determine the fluctuation trend amount of each element in the evaporation unevenness sequence of each cycle; the fluctuation trend amount reflects the trend change of the evaporation unevenness over time, and reflects the stability of the residual temperature used by the ORC power generation equipment; the fluctuation trend amount reflects the fluctuation trend ... The difference in the fluctuation trend of the rear element is used to determine the backward difference of each element in the evaporation uneven sequence of each period; the backward difference reflects the control effect of the steam pressure at each moment, which is beneficial to the feedback adjustment of the steam pressure and improves the control accuracy of the steam pressure; the evaporation fluctuation effect of the evaporator steam pressure of each period is determined through the trend of the backward difference of all elements in the evaporation uneven sequence of each period and the difference in the fluctuation trend of the first and last elements; the evaporation fluctuation effect combines the volatility change and trend change of the steam pressure in each period, and takes this as the adjustment basis of the proportional parameter of the PID control algorithm, thereby improving the accuracy of the proportional parameter adjustment of the PID control algorithm; the proportional parameter of the PID control algorithm is adjusted based on the evaporation fluctuation effect, and the dual-turbine ORC power generation equipment is controlled, which effectively improves the control effect of the steam pressure of the ORC power generation equipment, avoids the load imbalance phenomenon in the power generation process, and improves the power generation efficiency. BRIEF DESCRIPTION OF THE DRAWINGS
[0029] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present application or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.
[0030] Figure 1 A flowchart of a method for controlling an intelligent and efficient dual-turbine ORC power generation equipment according to an embodiment of the present application;
[0031] Figure 2 Flowchart for automatic scale parameter determination. DETAILED DESCRIPTION
[0032] In order to further explain the technical means and effects adopted by the present application to achieve the predetermined invention purpose, the following is a detailed description of the specific implementation, structure, features and effects of an intelligent and efficient dual-turbine ORC power generation device and control method proposed in the present application in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.
[0033] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
[0034] The specific scheme of an intelligent and efficient dual-turbine ORC power generation equipment and control method provided by the present application is described in detail below with reference to the accompanying drawings.
[0035] See also Figure 1 , which shows a flowchart of a method for controlling an intelligent and efficient dual-turbine ORC power generation device according to an embodiment of the present application, the method comprising the following steps:
[0036] S1, collects the steam pressure at each moment in each cycle between the evaporator and the expansion generator set of the dual-turbine ORC power generation equipment.
[0037] For the dual-turbine ORC equipment that generates electricity through low-temperature waste heat, it includes five major structures: evaporator, expansion generator set, condenser, working fluid pump, and booster pump. The evaporator is used to heat and pressurize the organic working fluid; the expansion generator set includes two left and right turbines, the air inlets of the two turbines are connected, and the air outlets of the two turbines are connected. The high-temperature and high-pressure steam in the expansion generator set is expanded by the turbine to do work, converted into mechanical energy, and then drives the generator to generate electricity; the condenser is used to condense the low-pressure steam discharged from the expansion generator set into liquid and transmit it to the working fluid pump; the working fluid pump is used to pressurize the liquid working medium in the condenser and transport it back to the evaporator. The booster pump is used to pressurize the evaporated gas.
[0038] In this embodiment, the pressure sensor is installed on the pipeline between the evaporator and the expansion generator set to collect the steam pressure at each moment. The collection frequency is 100Hz and the collection period is 10s. The implementer can set the collection frequency and collection period according to the actual situation, and this embodiment does not limit it. Since there may be missing data in the process of pressure data collection, this embodiment uses the mean interpolation method to complete the missing data, and arranges the steam pressure data after completion of each period in the order of the time when the data was collected to obtain the evaporation pressure sequence of each period of the evaporator. Among them, the mean interpolation method is a well-known technology, and the implementer can use other existing feasible data filling methods, which is not limited in this embodiment.
[0039] S2, based on the difference between the vapor pressure at each moment in each cycle and its adjacent moments, determine the evaporation unevenness of the vapor pressure at each moment in each cycle; and form an evaporation unevenness sequence with the evaporation unevenness of all elements in the evaporation pressure sequence.
[0040] The power generation of ORC equipment is that waste heat is transferred to liquid organic working fluid through the evaporator, which heats it and evaporates it into high-pressure steam. The high-pressure steam enters the turbine expander, expands and performs work in the turbine, and drives the turbine blades to rotate. The rotation of the turbine blades drives the generator through a mechanical connection to generate electricity. In the power generation process, when the working fluid steam with unstable pressure performs work, the turbine blades will rotate at different speeds, which will cause the load of the generator to be unbalanced, affecting the stability of the generator.
[0041] When the waste heat supply is unstable, it will affect the operation of the evaporator in the ORC power generation equipment, which will lead to fluctuations in the elements in the evaporation pressure sequence. Therefore, the evaporation unevenness of the steam pressure at each moment in each cycle is calculated, specifically:
[0042] A local neighborhood is set for each element in the evaporation pressure sequence. In this embodiment, the n elements before each element in the evaporation pressure sequence are used as the local neighborhood of each element. Based on the difference between the pressure data in the local neighborhood of each element, the evaporation unevenness of the steam pressure at each moment of each cycle is calculated.
[0043] It should be noted that in this embodiment, n=10, and the implementer can set it according to the actual situation. This embodiment does not limit it. When the number of elements in the local neighborhood is less than n, the mean filling method is used for filling; the difference represents the degree of difference between two variables, which can be calculated by the absolute value of the difference, the square of the difference, the ratio, etc.
[0044] In this embodiment, the calculation method of the evaporation unevenness of the steam pressure at each moment of each cycle is:
[0045] ; In the formula, is the evaporation unevenness of the steam pressure at the i-th moment of each cycle, is the element corresponding to the i-th moment in the evaporation pressure sequence of each period, is the jth element in the local neighborhood of the element corresponding to the i-th moment in the evaporation pressure sequence of each period, and n is the number of elements in the local neighborhood of the element corresponding to the i-th moment in the evaporation pressure sequence of each period. Recorded as the first difference.
[0046] It should be understood that the evaporation unevenness reflects the change of the evaporation pressure at each moment in the local historical moment. The more obvious the change of the evaporation pressure, that is, The larger the value is, the more unstable the heat source temperature is, which makes the pressure of the working fluid steam generated after the liquid working fluid is heated and evaporated also unstable. At this time, the larger the value of the evaporation unevenness is, the more it is necessary to adjust the pressure of the working fluid steam to avoid unbalanced load of the generator, which reduces the energy utilization efficiency.
[0047] The evaporation unevenness of steam pressure at all moments in the evaporation pressure sequence is arranged in chronological order to form an evaporation unevenness sequence.
[0048] S3, analyzing the trend distribution of each element and its neighboring elements in the uneven evaporation sequence, as well as the average level of each element and its neighboring elements, to determine the fluctuation trend amount of each element in the uneven evaporation sequence of each period.
[0049] During the operation of ORC power generation equipment, the fluctuation of waste heat temperature will cause the working fluid steam pressure generated by the evaporator to change: when the waste heat temperature rises, the working fluid steam pressure increases; when the waste heat temperature drops, the working fluid steam pressure decreases. Therefore, the trend change of waste heat temperature will also affect the fluctuation of the working fluid steam pressure generated by the evaporator, causing the working fluid steam pressure generated by the evaporator to change in a trend.
[0050] Based on the above analysis, this embodiment uses a time series decomposition (TSD) algorithm to obtain the trend items of each element in the uneven evaporation sequence of each period, and combines the trend items of all elements in the uneven evaporation sequence into a trend sequence, wherein the TSD algorithm is an existing well-known technology, and the implementer can select other existing feasible time series decomposition algorithms according to actual conditions, and this embodiment does not limit this.
[0051] Taking each element in the uneven evaporation sequence as the center, a local window of each element in the uneven evaporation sequence is obtained. The length of the local window in this embodiment is 11, and the implementer can set it according to the actual situation. When the length of the local window is less than 11, this embodiment adopts the mean filling method for filling.
[0052] Based on the trend items of each element in the uneven evaporation sequence and the distribution of elements in the local window of each element, the fluctuation trend of each element in the uneven evaporation sequence is calculated, specifically:
[0053] Calculate the extreme value of the trend item of all elements in the local window of each element in the uneven evaporation sequence, calculate the mean value of all elements in the local window of each element in the uneven evaporation sequence, and determine the fusion result of the extreme value and the mean value as the fluctuation trend amount of each element in the uneven evaporation sequence;
[0054] It should be noted that fusion means combining multiple variables, which can be calculated by addition, multiplication, or a combination of addition and multiplication.
[0055] In this embodiment, the calculation method of the fluctuation trend of each element in the evaporation uneven sequence of each period is:
[0056] ; In the formula, is the fluctuation trend of the kth element in the evaporation unevenness sequence of each period, is the extreme value of the trend item of all elements in the local window of the kth element in the evaporation uneven sequence of each period, It is the mean of all elements in the local window of the kth element in the evaporation unevenness sequence of each period.
[0057] It should be understood that when the local trend change value of the element in the evaporation uneven sequence is larger, that is, The larger the value is, the more total residual temperature can be used at that moment, and the more heat the evaporator provides to the liquid working fluid at that moment, and the greater the pressure of the working fluid vapor generated; at the same time, when the local volatility of the elements in the evaporation uneven sequence is greater, the greater the evaporation unevenness at that position, making the mean value of all elements in the local window of the elements in the evaporation uneven sequence greater, that is, The larger the value, the worse the stability of the residual temperature. Therefore, the fluctuation trend at this moment is The larger the value is, the more force the booster pump in the ORC should adjust at that moment to stabilize the pressure of the working fluid steam entering the turbine and reduce the load imbalance during the generator power generation process caused by unstable pressure.
[0058] S4, analyzing the difference in the fluctuation trend quantity between each element in the evaporation uneven sequence and the subsequent elements, and determining the backward difference degree of each element in the evaporation uneven sequence of each period.
[0059] For the fluctuation trend characteristics of each element in the evaporation uneven sequence, that is, the fluctuation trend amount of each element, when the fluctuation trend amount has an increasing trend, it means that the residual temperature used by the ORC power generation equipment is becoming more and more unstable. On the contrary, when the fluctuation trend amount has a decreasing trend, it means that the residual temperature used by the ORC power generation equipment tends to be stable. Therefore, as the production proceeds, when the fluctuation trend amount of each element in the evaporation uneven sequence has certain characteristic changes, the changing state of the working fluid steam can be effectively identified and the steam pressure can be effectively adjusted.
[0060] Therefore, the backward difference of each element in the evaporation uneven sequence is calculated by the fluctuation trend of each element in the evaporation uneven sequence. The specific calculation method is:
[0061] For any element in the uneven evaporation sequence, the difference between the fluctuation trend amount of the any element and the fluctuation trend amounts of all elements after it in the uneven evaporation sequence is calculated, recorded as the first difference, and the average of all the first differences of the any element is determined as the backward difference degree of the any element.
[0062] It should be understood that in the ORC power generation equipment, the performance of the evaporator is directly affected by the stability of the available residual temperature. When the available residual temperature gradually tends to be stable, the fluctuation trend of each element in the evaporation unevenness sequence also decreases. At this time, the first difference is mostly positive, and as the fluctuation trend decreases, the first difference also tends to decrease, reflecting that the control effect of the working fluid steam is better at this time, and the regulation of the steam pressure is smaller; when the available residual temperature fluctuates greatly, the fluctuation trend of each element in the evaporation unevenness sequence increases, and the first difference is mostly negative, reflecting that the control effect of the working fluid steam is poor at this time, and the regulation of the steam pressure should be increased to promote load balance in the power generation process.
[0063] S5, determine the evaporation fluctuation effect of the evaporator steam pressure in each period through the trend of the backward difference degree of all elements in the evaporation uneven sequence of each period and the difference in the fluctuation trend of the first and last elements.
[0064] When the backward difference of the first half of the elements in the evaporation uneven sequence is greater than the backward difference of the second half of the elements, it means that the stability of the evaporator is constantly improving and the evaporation fluctuation effect of the evaporator is decreasing. At this time, the control of the evaporator pressure can be reduced. Therefore, the evaporation fluctuation effect of the evaporator steam pressure in each cycle is calculated. The specific calculation method is:
[0065] ; In the formula, is the evaporation fluctuation effect of the evaporator steam pressure in each cycle, is the fluctuation trend of the last element in the evaporation unevenness sequence of each period, is the fluctuation trend of the first element in the evaporation unevenness sequence of each period, is the mean value of the backward difference of the elements in the second half of the evaporation uneven sequence of each period, is the mean value of the backward difference of the first half of the elements in the evaporation uneven sequence of each period, To preset a value greater than 0 to avoid the denominator being 0, in this embodiment , the implementer can adjust it according to the actual situation, and this embodiment does not limit it. Recorded as the second difference, is recorded as the front mean, Recorded as the posterior mean.
[0066] It should be noted that when the number of elements in the evaporation unevenness sequence is an odd number, in the process of calculating the evaporation fluctuation effect, the backward difference of the last element in the evaporation unevenness sequence is removed to ensure the calculation of the mean of the backward difference of the elements in the second half of the evaporation unevenness sequence and the mean of the backward difference of the elements in the first half.
[0067] When the backward difference of the first half of the elements in the evaporation uneven sequence is greater than the backward difference of the second half of the elements, and When it is less than 0, it means that the working fluid steam pressure generated by the evaporator is relatively stable. At this moment, the control of the steam pressure in the evaporator can be reduced, that is, the adjustment of the steam pressure can be reduced. On the contrary, when When it is greater than 0, it indicates that the working fluid steam pressure generated by the evaporator has large fluctuations. At this moment, it is necessary to improve the control of the steam pressure in the evaporator, that is, to increase the regulation of the steam pressure.
[0068] S6, adjusting the proportional parameters of the PID control algorithm based on the evaporation fluctuation effect to control the dual-turbine ORC power generation equipment.
[0069] The PID control algorithm has become a core tool in industrial automation and process control due to its simplicity, high efficiency, adjustability and wide applicability. The P in the PID control algorithm represents the proportional parameter. The proportional parameter responds immediately to the error signal. The larger the error, the stronger the control effect. Therefore, in order to complete the control of steam pressure, it is necessary to adjust the proportional parameter in the PID control algorithm. However, if the proportional parameter is too large, the control system will be unstable, oscillating or diverging; if the proportional parameter is too small, the system will respond too slowly. In the ORC power generation equipment, the control adjustment time period of the steam pressure is too long, resulting in load imbalance in the power generation equipment.
[0070] Based on the above analysis, the control of steam pressure in the twin-turbine ORC power generation equipment should change with the evaporation fluctuation effect of the evaporator steam pressure in each cycle. Therefore, the automatic proportional parameters of the PID control algorithm in the booster pump are calculated. The specific calculation method is:
[0071] ; In the formula, It is the automatic proportional parameter of the PID control algorithm in each cycle of the booster pump. It is the automatic proportional parameter of the PID control algorithm in the booster pump in the previous cycle of each cycle. is the evaporation fluctuation effect of the evaporator steam pressure in each cycle, sig() is the Sigmoid function, which normalizes the evaporation fluctuation effect of the evaporator steam pressure in each cycle. The automatic proportional parameter determination flow chart is as follows: Figure 2 shown.
[0072] It should be noted that the initial proportional parameter value of the PID control algorithm in this embodiment is 10, and the implementer can set it according to the actual situation, and this embodiment does not limit it here.
[0073] For the automatic proportional parameter P of the PID control algorithm in the booster pump, the lower the stability of the working fluid steam pressure generated by the evaporator, the greater the evaporation fluctuation effect G of the evaporator steam pressure. In this case, it is necessary to increase the adjustment force of the working fluid steam pressure to achieve rapid control of the evaporator working fluid steam, so that the value of the automatic proportional parameter P of the PID control algorithm in the booster pump increases accordingly. Through this dynamic adjustment, the working fluid steam pressure in the evaporator can be effectively stabilized, the evaporation fluctuation effect can be reduced, the stability of the ORC power generation equipment can be ensured, and the load balance of the generator during the power generation process can be guaranteed, thereby improving the power generation efficiency. Among them, adjusting the steam pressure of the ORC power generation equipment through the PID control algorithm is an existing well-known technology, and the specific process will not be repeated.
[0074] Based on the same inventive concept as the above method, an embodiment of the present application also provides an intelligent and efficient dual-turbine ORC power generation equipment, including an evaporator, an expansion generator set, a condenser, a working fluid pump, and a booster pump. The control of the ORC power generation equipment implements the steps of any one of the above-mentioned intelligent and efficient dual-turbine ORC power generation equipment control methods.
[0075] It should be noted that the above sequence of the embodiments of the present application is for description only and does not represent the advantages and disadvantages of the embodiments. The above is a description of a specific embodiment of this specification. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
[0076] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.
[0077] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the principles of the present application should be included in the protection scope of the present application.
Claims
1. An intelligent and efficient dual-turbine ORC power generation equipment control method, characterized in that: The method comprises the following steps: Collect the steam pressure at each time in each cycle between the evaporator and the expansion generator set of the twin-turbine ORC power generation equipment; Based on the difference between the steam pressure at each moment in each cycle and the steam pressure at the adjacent moments, the evaporation unevenness of the steam pressure at each moment in each cycle is determined; the evaporation unevenness of all elements in the evaporation pressure sequence is combined into an evaporation unevenness sequence; Analyze the trend distribution of each element and its neighboring elements in the evaporation unevenness sequence, as well as the average level of each element and its neighboring elements, and determine the fluctuation trend of each element in the evaporation unevenness sequence of each period; Analyze the difference in the fluctuation trend of each element in the evaporation uneven sequence and the elements after it, and determine the backward difference degree of each element in the evaporation uneven sequence of each period; The evaporation fluctuation effect of the evaporator steam pressure in each period is determined by the trend of the backward difference degree of all elements in the evaporation unevenness sequence of each period and the difference in the fluctuation trend of the first and last elements; The proportional parameter of the PID control algorithm is adjusted based on the evaporation fluctuation effect to control the dual-turbine ORC power generation equipment.
2. An intelligent and efficient dual-turbine ORC power generation equipment control method as claimed in claim 1, characterized in that: The determination of the evaporation unevenness includes: The difference in steam pressure between each moment and a preset number of moments before it is calculated respectively, and recorded as a first difference. The evaporation unevenness is the average of all the first differences at each moment.
3. An intelligent and efficient dual-turbine ORC power generation equipment control method as claimed in claim 2, characterized in that: The first difference is the absolute value of the difference between the steam pressure at each moment and the steam pressure at the moments before it by a preset number of times.
4. An intelligent and efficient dual-turbine ORC power generation equipment control method as claimed in claim 1, characterized in that: The determination of the fluctuation trend amount includes: The trend item of each element in the uneven evaporation sequence is obtained, the range value of the trend item of each element in the uneven evaporation sequence and all adjacent elements is calculated, and the fluctuation trend amount is determined by combining the range value and the average level.
5. An intelligent and efficient dual-turbine ORC power generation equipment control method as claimed in claim 4, characterized in that: The fluctuation trend amount is the product of the extreme value and the average level.
6. An intelligent and efficient dual-turbine ORC power generation equipment control method as claimed in claim 1, characterized in that: The determination of the backward difference degree includes: For any element in the uneven evaporation sequence, the difference between the fluctuation trend amount of the any element and the fluctuation trend amounts of all elements after it in the uneven evaporation sequence is calculated, recorded as the first difference, and the average of all the first differences of the any element is determined as the backward difference degree of the any element.
7. An intelligent and efficient dual-turbine ORC power generation equipment control method as claimed in claim 1, characterized in that: The determination of the evaporation fluctuation effect amount includes: The difference in the fluctuation trend between the last element and the first element in the evaporation unevenness sequence of each period is recorded as the second difference, and the mean of the backward difference between the first half of the elements and the second half of the elements in the evaporation unevenness sequence of each period is calculated respectively, recorded as the front mean and the rear mean; The sum of the front mean and a preset value greater than 0 is calculated, the ratio of the rear mean to the sum is calculated, and the evaporation fluctuation effect amount is determined by combining the ratio with the second difference.
8. An intelligent and efficient dual-turbine ORC power generation equipment control method as claimed in claim 7, characterized in that: The evaporation fluctuation effect amount is the product of the second difference and the ratio.
9. An intelligent and efficient dual-turbine ORC power generation equipment control method as claimed in claim 1, characterized in that: The adjusting the proportional parameter of the PID control algorithm based on the evaporation fluctuation effect amount comprises: The proportional parameter of the PID control algorithm in each cycle is the product of the normalized value of the evaporation fluctuation effect amount in each cycle and the proportional parameter of the PID control algorithm in the previous cycle of each cycle.
10. An intelligent and efficient dual-turbine ORC power generation equipment, comprising an evaporator, an expansion generator set, a condenser, a working fluid pump, and a pressure pump, characterized in that: The control of the ORC power generation device implements the steps of the method according to any one of claims 1-9.
Citation Information
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