Load monitoring control system for new energy power generation
By designing a load monitoring and control system for new energy power generation including data acquisition, magnetic poles, magnetic field, electromechanical and load adjustment modules, the problem that existing systems cannot accurately monitor and analyze the status of power generation equipment is solved, and the accurate monitoring and early warning of the status of equipment is achieved, and the occurrence of equipment damage accidents is reduced.
Patent Information
- Application Number
- CN202510112686.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-24
- Publication Date
- 2025-05-02
AI Technical Summary
The existing load monitoring and control system for new energy power generation cannot accurately monitor the magnetic pole operating status, magnetic field status, mechanical and current information of power generation equipment, resulting in the inability to accurately match and adjust the power generation equipment, which increases the occurrence of equipment damage accidents.
A load monitoring and control system for new energy power generation is designed, including data acquisition module, magnetic pole module, magnetic field module, electromechanical module and load adjustment module. Through the combination of these modules, the magnetic pole migration and deflection value, magnetic field scattered hysteresis value and operating electromechanical rail complex value of the power generation equipment can be analyzed and monitored, and early warnings are issued and power adjustments are performed based on the analysis results.
It realizes accurate monitoring and analysis of the magnetic pole operating status, magnetic field status and mechanical current information of power generation equipment, can issue early warnings and perform power adjustments, reduces the occurrence of equipment damage accidents, and ensures normal production in industrial factories.
Smart Images
Figure CN119921473A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of load monitoring and control for power generation, and in particular to a load monitoring and control system for new energy power generation. Background Art
[0002] Industrial factories have higher and higher requirements for the reliability and stability of power supply in the production process, and magnetic generators are widely used in industrial factories for power generation. The factory's magnetic generators are in high-load operation for a long time, and each power generation equipment is subjected to complex electromagnetic and mechanical loads. How to accurately monitor is particularly critical, and traditional monitoring methods are difficult to grasp the operating status of power generation equipment in real time and comprehensively. Load monitoring and control systems for new energy power generation came into being.
[0003] The existing load monitoring and control system for renewable energy power generation cannot accurately determine the pole operation status of each power generation unit during operation, nor can it accurately monitor the magnetic field status of each power generation unit, analyze and determine the mechanical and current information of each power generation unit, let alone determine the comprehensive status of each power generation unit, issue early warnings and adjust power, and accurately match the power generation units according to actual power consumption, resulting in frequent damage accidents to power generation equipment, affecting the production plans of industrial factories.
[0004] In order to solve the above defects, a technical solution is now provided. Summary of the invention
[0005] In order to solve the technical problems raised by the above background technology, the present invention is proposed. An embodiment of the present invention provides a load monitoring and control system for renewable energy power generation.
[0006] The purpose of the present invention can be achieved through the following technical solutions: A load monitoring and control system for renewable energy power generation, including a data acquisition module, a magnetic pole module, a magnetic field module, an electromechanical module, and a load adjustment module.
[0007] The magnetic pole module is used to receive magnetic pole information, and to determine and analyze the magnetic pole dislocation, grain boundary migration, and phase structure of each power generation unit to obtain the magnetic pole migration sink value of each power generation unit;
[0008] The magnetic field module is used to receive magnetic field information, analyze the magnetic field energy, magnetic field coherence, magnetic field symmetry, and magnetic field flux of each power generation unit, so as to obtain the magnetic field dispersion hysteresis value of each power generation unit;
[0009] The electromechanical module is used to receive mechanical information and current information, and analyze the rotor motion trajectory, bearing internal temperature, and current state of each power generation unit to obtain the operating electromechanical track complex value of each power generation unit;
[0010] The load adjustment module is used to receive the magnetic pole migration sink value of each power generation unit, the magnetic field dispersion hysteresis value of each power generation unit and the operating electromechanical rail complex value of each power generation unit, analyze the load operation of each power generation unit, and issue corresponding warnings; and analyze the power consumption demand of industrial enterprises to obtain the operating adjustment status of the power generation unit.
[0011] Furthermore, the steps of analyzing the hysteresis value of the magnetic field dispersion of each power generation unit are as follows:
[0012] By measuring the circular dichroism signal of the magnetic field of each power generation unit, the intensity value of the magnetic field of each power generation unit under the action of left-right circularly polarized light is obtained, and the absolute value is subtracted to obtain the left-right asymmetry value of the magnetic field of each power generation unit. A collection point is set inside the winding of each power generation unit to obtain the magnetic field intensity and magnetic induction intensity data through the Hall sensor and the fluxgate sensor. The magnetic field intensity is used as the horizontal axis and the magnetic induction intensity is used as the vertical axis to establish a hysteresis loop, and the maximum value of the product of the magnetic induction intensity and the magnetic field intensity in the hysteresis loop is obtained, which is marked as the stored maximum magnetic energy product. The area enclosed by the hysteresis loop is calculated by numerical integration, which is marked as the hysteresis loss value. The absolute value of the point where the hysteresis loop intersects with the magnetic induction intensity axis is obtained, which is marked as the residual magnetism value. The stored maximum magnetic energy product, the hysteresis loss value, the residual magnetism value, and the left-right asymmetry value of the magnetic field are weighted and multiplied by the corresponding weight factor coefficient to obtain the hysteresis energy loss pair value of each power generation unit.
[0013] With the hysteresis energy loss pair value of each power generation unit as the vertical axis and time as the horizontal axis, a hysteresis energy loss pair value change curve of each power generation unit is established, with the hysteresis energy loss pair value corresponding to the initial monitoring time as the reference value, a baseline parallel to the horizontal axis is established, and the vertical distance from each point in the hysteresis energy loss pair value change curve to the baseline is counted and summed to obtain the hysteresis energy pair change trend value of each power generation unit;
[0014] The discrete value of magnetic energy expansion and change of each power generation unit, the uniform magnetic phase divergence of each power generation unit and the hysteresis energy variation value of each power generation unit are normalized. The discrete value of magnetic energy expansion and change of each power generation unit is taken as the long side of the bottom of the cuboid, the uniform magnetic phase divergence of each power generation unit is taken as the short side of the bottom of the cuboid, and the hysteresis energy variation value of each power generation unit is taken as the height of the cuboid. A cuboid is constructed, and the surface area of the cuboid is identified and marked as the magnetic field dispersion hysteresis value of each power generation unit.
[0015] Furthermore, the steps for analyzing the magnetic phase uniformity of each power generation unit are as follows:
[0016] An optical interferometer is used to measure at different positions in the magnetic field of each power generation unit to obtain the pattern and change data of the interference fringes. The established mathematical relationship model is used to obtain the change in optical path length caused by the magnetic field at each measurement position. The value of the autocorrelation function of the change in optical path length caused by the magnetic field at each measurement position is calculated at different time delays to obtain the change curve of the autocorrelation function of each measurement position with time delay, and the time delay corresponding to the autocorrelation function dropping to a certain proportion is obtained, the certain proportion is 1 / e, and multiplied by the correction factor coefficient value, marked as the magnetic coherence homogeneity span of each measurement position, and the standard deviation of the magnetic coherence homogeneity span at each position is calculated and marked as the magnetic phase divergence of each power generation unit.
[0017] Furthermore, the steps for analyzing the discrete values of the magnetic energy variation of each power generation unit are as follows:
[0018] The magnetic field strength is measured at the junction of the magnetic pole and winding of each generating unit of the magnetic generator by a Hall effect magnetometer, and the time series number Q(t) of the magnetic field strength is obtained. Substituting it into the formula m(t)=ψ1×Q(t) 2 / 2, and the magnetic field energy density value time series m(t) is obtained, ψ1 is the correction factor coefficient, according to the formula Get the magnetic field energy density sudden change value Cbz, is the average value of the energy density time series, i represents the sequence number of the time series, and takes a positive integer with a maximum value of I. The time series data m(t) of the magnetic field energy density is Fourier transformed to obtain the magnetic field energy density spectrum M(f). According to the set formula czz(f)=ψ2×M(f) 2 / I, get the magnetic field energy fluctuation value czz(f) at each frequency, ψ2 is the correction factor coefficient, compare the magnetic field energy fluctuation value at each frequency with the set magnetic field energy fluctuation value, if the magnetic field energy fluctuation value of the frequency is greater than the set threshold C high , then the frequency is corresponding to the high energy fluctuation frequency. If the magnetic field energy fluctuation value of the frequency is less than the set threshold C high Greater than the set threshold C low , then the frequency is corresponding to the medium energy fluctuation frequency. If the magnetic field energy fluctuation value of the frequency is less than the set threshold C low , then the frequency is corresponded to the low-energy fluctuation frequency, and the proportion of high-energy fluctuation frequency, medium-energy fluctuation frequency and low-energy fluctuation frequency is counted, marked as gnz, znz and dnz respectively, and calculated with the magnetic field energy density sudden change value Cbz to obtain the magnetic energy fluctuation discrete value CLZ of each power generation unit.
[0019] Furthermore, the steps of analyzing the magnetic pole transition sink value of each power generation unit are as follows:
[0020] The migration distance of the coordinates of the specific position of the grain boundary of the magnetic pole mark of each power generation unit within a certain period of time is monitored by a metallographic microscope, and marked as the migration value of the magnetic pole grain boundary of each power generation unit; the magnetic pole and the reference object of each power generation unit, the reference object is alumina, and no thermal effect occurs, are heated in two identical heating furnaces at the same heating rate, and the heating power to the magnetic pole and the reference object is adjusted to ensure that the temperature difference between the magnetic pole and the reference object is zero, and the power difference and temperature change data of the magnetic pole and the reference object are obtained, and a power difference temperature variation curve is established with temperature as the horizontal axis and power difference as the vertical axis, and compared with the standard power difference temperature variation curve, the peak position offset and the peak area change rate are obtained and summed to obtain the magnetic pole phase structure variation value of each power generation unit;
[0021] The magnetic pole grain boundary migration value and the magnetic pole phase structure variation value of each power generation unit are marked as cjq and cxj respectively, and normalized with the magnetic pole lattice defect value jqz of each power generation unit and substituted into the set formula Calculation is performed to obtain the magnetic pole transition sink value CQB of each power generation unit, wherein rzl is the proportion of edge dislocations, and h1, h2, h3, h4, h5 and h6 are all preset weight factor coefficients.
[0022] Furthermore, the steps for analyzing the magnetic pole lattice defect value of each power generation unit are as follows:
[0023] Step 1: Obtain transmission electron microscope grayscale TEM images of the magnetic poles of the magneto generator of different batches, usage time and working conditions in the database, calculate the dislocation line grayscale co-occurrence matrix of the grayscale image in the database, extract correlation and contrast texture features, and mark them as grayscale co-occurrence matrix features, calculate the grayscale gradient of the dislocation line through the edge detection algorithm, and mark them as grayscale gradient features, extract the dislocation line width, length and curvature features through expansion and corrosion morphological operations, and mark them as morphological features, mark the grayscale co-occurrence matrix features, grayscale gradient features and morphological features as gray-gradient morphological features of the dislocation line, perform microstructural analysis on the magnetic poles of each power generation unit of the magneto generator through a transmission electron microscope, obtain the magnetic pole TEM image of each power generation unit, match it with the gray-gradient morphological features of the dislocation line in the data, and determine the position and distribution of the dislocation lines in the magnetic poles of each power generation unit;
[0024] Step 2: Obtain the inter-lattice fringe distortion value, the half-inverse value of the lattice fringe curvature, and the number of interruptions in each region of the magnetic pole TEM image of each power generation unit, and sum them up to obtain the lattice distortion value of each region, wherein the inter-lattice fringe distortion value is the absolute value of the difference between the lattice fringe spacing value and the set value, and the half-inverse value of the lattice fringe curvature is the inverse of the lattice fringe curvature radius. If the lattice distortion value of each region is less than the set threshold TG1, the corresponding region is a complete lattice region, and the atoms in this region are selected as the starting point of the custom loop, and the direction of the custom loop is specified to be clockwise, with the distance between adjacent atoms in the lattice as the step length, and gradually move along the atomic column direction of the lattice until it returns to the starting point to form a custom closed loop, and the end point of the custom closed loop is drawn as a vector to the starting point, marked as a parameter vector;
[0025] Step 3: Obtain the staggered information of the dislocation line and the physical parameter vector in the magnetic pole. If the dislocation line is perpendicular to the physical parameter vector, the dislocation line is an edge dislocation. If the dislocation line is parallel to the physical parameter vector, the dislocation line is a rotation dislocation. If they are neither parallel nor perpendicular, it is determined to be a mixed dislocation, and the edge dislocation, mixed dislocation, and rotation dislocation are corresponding to values a1, a2, and a3, respectively, and a1>a2>a3. Count the number of edge dislocations, mixed dislocations, and rotation dislocations in each magnetic pole, mark them as b1, b2, and b3, respectively, and substitute them into the set formula jqz=a1×b1+a2×b2+a3×b3 to obtain the magnetic pole lattice defect value jqz of each power generation unit.
[0026] Furthermore, the steps of complex value analysis of the operating electromechanical rail of each power generation unit are as follows:
[0027] The motion trajectory of the rotor journal center of each power generation unit relative to the plane of the bearing seat is obtained, and the points of the axis trajectory are connected in chronological order to form a polygon. The vertex coordinates of the polygon are obtained, and the vectors of the adjacent edges are constructed. If the vector of the adjacent edge is greater than zero, the vertex is a convex vertex. If the vector of the adjacent edge is less than zero, the vertex is a concave vertex. If the vector of the adjacent edge is equal to zero, the vertex is collinear with the adjacent vertex. The convex vertex corresponds to counterclockwise rotation, and the concave vertex corresponds to clockwise rotation. The number of vertices that rotate counterclockwise and clockwise is obtained, marked as nl and ns, and substituted into the set formula JDZ = (ns-nl) / (ns+nl) to obtain the definition value JDZ of the precession direction. If the precession direction If the definition value JDZ of the precession direction is greater than zero, the corresponding precession direction is reverse precession. If the definition value JDZ of the precession direction is less than zero, the corresponding precession direction is positive precession. The number of changes of positive and reverse precession in the precession direction within a certain period of time is counted and marked as the rotor shaft track complex value of each power generation unit. The temperature gradient inside the bearing of each power generation unit and the frequency of current exceeding the threshold are obtained, and they are normalized with the rotor shaft track complex value of each power generation unit, marked as wtz, dlc and zzz respectively, and substituted into the set formula JDG=h1×wtz+h2×dlc+h3×zzz to obtain the operating electromechanical track complex value JDG of each power generation unit, where h1, h2 and h3 are the set influencing factor coefficients.
[0028] Furthermore, the steps of analyzing the operation adjustment status of the power generation unit are as follows:
[0029] Adjust the operating power of the severely operating power generating units and the normally operating power generating units. The adjustment coefficients are y1 and y2 respectively. The adjustment coefficient is the ratio of the adjusted power to the rated power. When the operating status of the power generating unit deviates from the normal state, it should be appropriately reduced to ensure the safety of operation.
[0030] The power consumption of the industrial plant at each time point in the production history of each day is obtained and multiplied by the output power redundancy coefficient j1 to obtain the power generation required at each time point in the industrial plant production. This is matched with the adjusted operating power of each power generation unit to obtain the number of power generation units operating at each time point and the corresponding operating power.
[0031] Furthermore, the analysis steps of the severely operating power generation unit and the normally operating power generation unit are as follows:
[0032] If the operation variation value of the power generation unit is within the operation variation interval PT1, the corresponding power generation unit is a severely abnormal operation power generation unit, and is displayed with a red color light, and stops operating; if the operation variation value of the power generation unit is within the operation variation interval PT2, the corresponding power generation unit is a relatively serious operation power generation unit, and is displayed with an orange color light; if the operation variation value of the power generation unit is within the operation variation interval PT3, the corresponding power generation unit is a normally operating power generation unit, and is displayed with a green color light; the operation and maintenance personnel arrange the maintenance plan according to the status of the three-color light of each power generation unit, and the red color light should be arranged earlier than the orange color light.
[0033] Furthermore, the operation variation analysis steps of the power generation unit are as follows:
[0034] The magnetic pole migration sink value of each power generation unit, the magnetic field dispersion hysteresis value of each power generation unit and the operating electromechanical track complex value of each power generation unit are normalized, weighted and calculated, and multiplied by the corresponding proportional factor coefficient to obtain the operating variation value of each power generation unit.
[0035] Compared with the prior art, the present invention has the following beneficial effects:
[0036] 1. The present invention determines and analyzes the magnetic pole dislocation, grain boundary migration, and phase structure of each power generation unit to obtain the magnetic pole migration trap value of each power generation unit, analyzes the magnetic field energy, magnetic field coherence, magnetic field symmetry, and magnetic field flux of each power generation unit to obtain the magnetic field dispersion hysteresis value of each power generation unit, and analyzes the rotor motion trajectory, bearing internal temperature, and current state of each power generation unit to obtain the operating electromechanical track complex value of each power generation unit. It can accurately determine the magnetic pole operating state of each power generation unit, accurately monitor the magnetic field state of each power generation unit, and analyze and determine the mechanical and current information of each power generation unit.
[0037] 2. The present invention analyzes the load operation of each power generation unit and issues corresponding warnings; and analyzes the power consumption demand of industrial enterprises to obtain the operation adjustment status of the power generation unit. It can judge the comprehensive status of each power generation unit, issue warnings and power adjustments, and accurately match the power generation units according to actual power consumption, which can reduce the occurrence of power generation equipment damage accidents and ensure the normal production of industrial factories. BRIEF DESCRIPTION OF THE DRAWINGS
[0038] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. The following drawings are not intentionally scaled to the actual size, and the focus is on illustrating the main purpose of the present invention.
[0039] Figure 1 It is a system block diagram of the present invention. DETAILED DESCRIPTION
[0040] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work also fall within the scope of protection of the present invention.
[0041] like Figure 1 As shown, a load monitoring and control system for renewable energy power generation includes a data acquisition module, a magnetic pole module, a magnetic field module, an electromechanical module, and a load adjustment module.
[0042] The data acquisition module is used to collect magnetic pole information, magnetic field information, mechanical information and current information, and send them to the magnetic pole module, magnetic field module and electromechanical module;
[0043] The magnetic pole module is used to receive magnetic pole information, and to determine and analyze the magnetic pole dislocation, grain boundary migration, and phase structure of each power generation unit to obtain the magnetic pole migration sink value of each power generation unit. The specific analysis is as follows:
[0044] Step 1: Obtain transmission electron microscope grayscale TEM images of the magnetic poles of the magneto generator of different batches, usage time and working conditions in the database, calculate the dislocation line grayscale co-occurrence matrix of the grayscale image in the database, extract correlation and contrast texture features, and mark them as grayscale co-occurrence matrix features, calculate the grayscale gradient of the dislocation line through the edge detection algorithm, and mark them as grayscale gradient features, extract the dislocation line width, length and curvature features through expansion and corrosion morphological operations, and mark them as morphological features, mark the grayscale co-occurrence matrix features, grayscale gradient features and morphological features as gray-gradient morphological features of the dislocation line, perform microstructural analysis on the magnetic poles of each power generation unit of the magneto generator through a transmission electron microscope, obtain the magnetic pole TEM image of each power generation unit, match it with the gray-gradient morphological features of the dislocation line in the data, and determine the position and distribution of the dislocation lines in the magnetic poles of each power generation unit;
[0045] Step 2: Obtain the inter-lattice fringe distortion value, the half-inverse value of the lattice fringe curvature, and the number of interruptions in each region of the magnetic pole TEM image of each power generation unit, and sum them up to obtain the lattice distortion value of each region, wherein the inter-lattice fringe distortion value is the absolute value of the difference between the lattice fringe spacing value and the set value, and the half-inverse value of the lattice fringe curvature is the inverse of the lattice fringe curvature radius. If the lattice distortion value of each region is less than the set threshold TG1, the corresponding region is a complete lattice region, and the atoms in this region are selected as the starting point of the custom loop, and the direction of the custom loop is specified to be clockwise, with the distance between adjacent atoms in the lattice as the step length, and gradually move along the atomic column direction of the lattice until it returns to the starting point to form a custom closed loop, and the end point of the custom closed loop is drawn as a vector to the starting point, marked as a parameter vector;
[0046] Step 3: Obtain the interlaced information of the dislocation line and the physical parameter vector in the magnetic pole. If the dislocation line is perpendicular to the physical parameter vector, the dislocation line is an edge dislocation. If the dislocation line is parallel to the physical parameter vector, the dislocation line is a rotation dislocation. If it is neither parallel nor perpendicular, it is determined to be a mixed dislocation. The edge dislocation, mixed dislocation, and rotation dislocation are respectively assigned corresponding values as a1, a2, and a3, and a1>a2>a3. The number of edge dislocations, mixed dislocations, and rotation dislocations in each magnetic pole is counted and marked as b1, b2, and b3 respectively. Substitute them into the set formula jqz=a1×b1+a2×b2+a3×b3 to obtain the magnetic pole lattice defect value jqz of each power generation unit;
[0047] The migration distance of the coordinates of the specific position of the grain boundary of the magnetic pole mark of each power generation unit within a certain period of time is monitored by a metallographic microscope, and marked as the migration value of the magnetic pole grain boundary of each power generation unit; the magnetic pole and the reference object of each power generation unit, the reference object is alumina, and no thermal effect occurs, are heated in two identical heating furnaces at the same heating rate, and the heating power to the magnetic pole and the reference object is adjusted to ensure that the temperature difference between the magnetic pole and the reference object is zero, and the power difference and temperature change data of the magnetic pole and the reference object are obtained, and a power difference temperature variation curve is established with temperature as the horizontal axis and power difference as the vertical axis, and compared with the standard power difference temperature variation curve, the peak position offset and the peak area change rate are obtained and summed to obtain the magnetic pole phase structure variation value of each power generation unit;
[0048] The magnetic pole grain boundary migration value and the magnetic pole phase structure variation value of each power generation unit are marked as cjq and cxj respectively, and normalized with the magnetic pole lattice defect value jqz of each power generation unit and substituted into the set formula Perform calculations
[0049] To obtain the magnetic pole transition trap value CQB of each power generation unit, where rzl is the proportion of edge dislocation, h1, h2, h3, h4, h5 and h6 are all preset weight factor coefficients, and the specific values are set by personnel in this professional field, and h1>h4, h2>h5, h3 <h6;
[0050] The magnetic field module is used to receive magnetic field information and analyze the magnetic field energy, magnetic field coherence, magnetic field symmetry, and magnetic field flux of each power generation unit to obtain the magnetic field dispersion hysteresis value of each power generation unit. The specific analysis is as follows:
[0051] The magnetic field strength is measured at the junction of the magnetic pole and winding of each generating unit of the magnetic generator by a Hall effect magnetometer, and the time series number Q(t) of the magnetic field strength is obtained. Substituting it into the formula m(t)=ψ1×Q(t) 2 / 2, and the magnetic field energy density value time series m(t) is obtained, ψ1 is the correction factor coefficient, according to the formula Get the magnetic field energy density sudden change value Cbz, is the average value of the energy density time series, i represents the sequence number of the time series, and takes a positive integer with a maximum value of I. The time series data m(t) of the magnetic field energy density is Fourier transformed to obtain the magnetic field energy density spectrum M(f). According to the set formula czz(f)=ψ2×M(f) 2 / I, get the magnetic field energy fluctuation value czz(f) at each frequency, ψ2 is the correction factor coefficient, compare the magnetic field energy fluctuation value at each frequency with the set magnetic field energy fluctuation value, if the magnetic field energy fluctuation value of the frequency is greater than the set threshold C high , then the frequency is corresponding to the high energy fluctuation frequency. If the magnetic field energy fluctuation value of the frequency is less than the set threshold C high Greater than the set threshold C low , then the frequency is corresponding to the medium energy fluctuation frequency. If the magnetic field energy fluctuation value of the frequency is less than the set threshold C low , then the frequency is corresponding to the low-energy fluctuation frequency, and the proportions of high-energy fluctuation frequency, medium-energy fluctuation frequency and low-energy fluctuation frequency are counted, marked as gnz, znz and dnz respectively, and normalized with the magnetic field energy density sudden change value Cbz, and substituted into the set formula Calculation is performed to obtain the discrete value CLZ of magnetic energy fluctuation of each power generation unit, where kj1, kj2 and kj3 are the preset influencing factor coefficients of the sum of the proportion of high energy fluctuation frequency and medium energy fluctuation frequency, the proportion of low energy fluctuation frequency and the sudden change value of magnetic field energy density, and the specific values are 0.95, 2.01 and 0.31 respectively;
[0052] By using an optical interferometer to measure at different positions in the magnetic field of each power generation unit, the pattern and change data of the interference fringes are obtained, and the established mathematical relationship model is used to obtain the optical path change caused by the magnetic field at each measurement position. The value of the autocorrelation function of the optical path change caused by the magnetic field at each measurement position is calculated at different time delays, and the change curve of the autocorrelation function of each measurement position with time delay is obtained, and the time delay corresponding to the autocorrelation function dropping to a certain proportion is obtained, and the certain proportion is 1 / e, and it is multiplied by the correction factor coefficient value, marked as the magnetic coherence homogeneous span of each measurement position, and the standard deviation of the magnetic coherence homogeneous span at each position is calculated, and marked as the magnetic phase uniformity of each power generation unit;
[0053] By measuring the circular dichroism signal of the magnetic field of each power generation unit, the intensity value of the magnetic field of each power generation unit under the action of left-right circularly polarized light is obtained, and the absolute value is subtracted to obtain the left-right asymmetry value of the magnetic field of each power generation unit. A collection point is set inside the winding of each power generation unit to obtain the magnetic field intensity and magnetic induction intensity data through the Hall sensor and the fluxgate sensor. The magnetic field intensity is used as the horizontal axis and the magnetic induction intensity is used as the vertical axis to establish a hysteresis loop, and the maximum value of the product of the magnetic induction intensity and the magnetic field intensity in the hysteresis loop is obtained, which is marked as the stored maximum magnetic energy product. The area enclosed by the hysteresis loop is calculated by numerical integration, which is marked as the hysteresis loss value. The absolute value of the point where the hysteresis loop intersects with the magnetic induction intensity axis is obtained, which is marked as the residual magnetism value. The stored maximum magnetic energy product, the hysteresis loss value, the residual magnetism value, and the left-right asymmetry value of the magnetic field are weighted and multiplied by the corresponding weight factor coefficient to obtain the hysteresis energy loss pair value of each power generation unit.
[0054] With the hysteresis energy loss pair value of each power generation unit as the vertical axis and time as the horizontal axis, a hysteresis energy loss pair value change curve of each power generation unit is established, with the hysteresis energy loss pair value corresponding to the initial monitoring time as the reference value, a baseline parallel to the horizontal axis is established, and the vertical distance from each point in the hysteresis energy loss pair value change curve to the baseline is counted and summed to obtain the hysteresis energy pair change trend value of each power generation unit;
[0055] Normalize the discrete value of magnetic energy variation of each power generation unit, the uniform dispersion of magnetic phase of each power generation unit and the hysteresis energy variation value of each power generation unit, take the discrete value of magnetic energy variation of each power generation unit as the long side of the bottom of the cuboid, take the uniform dispersion of magnetic phase of each power generation unit as the short side of the bottom of the cuboid, take the hysteresis energy variation value of each power generation unit as the height of the cuboid, construct a cuboid, identify the surface area of the cuboid, and mark it as the magnetic field variation hysteresis value of each power generation unit;
[0056] The electromechanical module is used to receive mechanical information and current information, and analyze the rotor motion trajectory, bearing internal temperature, and current state of each power generation unit to obtain the operating electromechanical track complex value of each power generation unit. The specific analysis is as follows:
[0057] The motion trajectory of the rotor journal center of each power generation unit relative to the plane of the bearing seat is obtained, and the points of the axis trajectory are connected in chronological order to form a polygon. The vertex coordinates of the polygon are obtained, and the vectors of the adjacent edges are constructed. If the vector of the adjacent edge is greater than zero, the vertex is a convex vertex. If the vector of the adjacent edge is less than zero, the vertex is a concave vertex. If the vector of the adjacent edge is equal to zero, the vertex is collinear with the adjacent vertex. The convex vertex corresponds to counterclockwise rotation, and the concave vertex corresponds to clockwise rotation. The number of vertices that rotate counterclockwise and clockwise is obtained, marked as nl and ns, and substituted into the set formula JDZ = (ns-nl) / (ns+nl) to obtain the definition value JDZ of the precession direction. If the precession direction If the definition value JDZ of the direction is greater than zero, the corresponding precession direction is reverse precession. If the definition value JDZ of the precession direction is less than zero, the corresponding precession direction is positive precession. The number of positive and reverse precession changes in the precession direction within a certain period of time is counted and marked as the rotor shaft track complex value of each power generation unit; the temperature gradient inside the bearing of each power generation unit and the frequency of current exceeding the threshold are obtained, and the rotor shaft track complex values of each power generation unit are marked as wtz, dlc and zzz respectively, and normalized, and substituted into the set formula JDG=h1×wtz+h2×dlc+h3×zzz, and the operating electromechanical track complex value JDG of each power generation unit is calculated, where h1, h2 and h3 are all set influencing factor coefficients;
[0058] It should be noted that the current exceeding threshold frequency is the number of times the current of each power generation unit exceeds the set threshold within a certain period of time;
[0059] The load adjustment module is used to receive the magnetic pole migration sink value of each power generation unit, the magnetic field dispersion hysteresis value of each power generation unit and the operating electromechanical rail complex value of each power generation unit, analyze the load operation of each power generation unit, and issue corresponding warnings; and analyze the power consumption demand of industrial enterprises to obtain the operation adjustment status of the power generation unit. The specific analysis is as follows:
[0060] The magnetic pole migration sink value of each power generation unit, the magnetic field dispersion hysteresis value of each power generation unit and the operating electromechanical track complex value of each power generation unit are normalized, weighted and calculated, and multiplied by the corresponding proportional factor coefficient to obtain the operating variation value of each power generation unit;
[0061] If the operation variation value of the power generation unit is within the operation variation interval PT1, the corresponding power generation unit is a seriously abnormal operation power generation unit, and is displayed with a red color light, and stops operating; if the operation variation value of the power generation unit is within the operation variation interval PT2, the corresponding power generation unit is a relatively serious operation power generation unit, and is displayed with an orange color light; if the operation variation value of the power generation unit is within the operation variation interval PT3, the corresponding power generation unit is a normally operating power generation unit, and is displayed with a green color light; the operation and maintenance personnel arrange the maintenance plan according to the status of the three-color color light of each power generation unit, and the red color light should be arranged earlier than the orange color light;
[0062] The operating power of the severely operating power generating units and the normally operating power generating units shall be adjusted. The adjustment coefficients are y1 and y2, which are 0.8 and 1 respectively. The adjustment coefficient is the ratio of the adjusted power to the rated power. When the operating status of the power generating unit deviates from the normal state, it shall be appropriately reduced to ensure the safety of operation.
[0063] Obtain the power consumption at each time point in the production history of the industrial plant every day, and multiply it by the output power redundancy coefficient j1, where j1 is 1.2, to obtain the power generation required at each time point in the production of the industrial plant, and match it with the adjusted operating power of each power generation unit to obtain the number of power generation units operating at each time point and the corresponding operating power;
[0064] The above is an explanation of the present invention and should not be considered as a limitation thereof. Although several exemplary embodiments of the present invention have been described, it will be readily appreciated by those skilled in the art that many modifications may be made to the exemplary embodiments without departing from the novel teachings and advantages of the present invention. Therefore, all such modifications are intended to be included within the scope of the present invention as defined in the claims. It should be understood that the above is an explanation of the present invention and should not be considered as being limited to the specific embodiments disclosed, and modifications to the disclosed embodiments and other embodiments are intended to be included within the scope of the appended claims. The present invention is defined by the claims and their equivalents.
Claims
1. A load monitoring and control system for renewable energy power generation, comprising a data acquisition module, characterized in that: Also includes: The magnetic pole module is used to receive magnetic pole information, and to determine and analyze the magnetic pole dislocation, grain boundary migration, and phase structure of each power generation unit to obtain the magnetic pole migration sink value of each power generation unit; The magnetic field module is used to receive magnetic field information and analyze the magnetic field energy, magnetic field coherence, magnetic field symmetry, and magnetic field flux of each power generation unit to obtain the magnetic field dispersion hysteresis value of each power generation unit; The electromechanical module is used to receive mechanical information and current information, and analyze the rotor motion trajectory, bearing internal temperature, and current state of each power generation unit to obtain the operating electromechanical track complex value of each power generation unit; The load adjustment module is used to receive the magnetic pole migration sink value of each power generation unit, the magnetic field dispersion hysteresis value of each power generation unit and the operating electromechanical rail complex value of each power generation unit, analyze the load operation of each power generation unit, and issue corresponding warnings; And analyze the power consumption demand of industrial enterprises to obtain the operation adjustment status of power generation units.
2. A load monitoring and control system for renewable energy power generation according to claim 1, characterized in that: The steps for analyzing the hysteresis value of the magnetic field dispersion of each power generation unit are as follows: By measuring the circular dichroism signal of the magnetic field of each power generation unit, the intensity value of the magnetic field of each power generation unit under the action of left-right circularly polarized light is obtained, and the absolute value is subtracted to obtain the left-right asymmetry value of the magnetic field of each power generation unit. A collection point is set inside the winding of each power generation unit to obtain the magnetic field intensity and magnetic induction intensity data through the Hall sensor and the fluxgate sensor. The magnetic field intensity is used as the horizontal axis and the magnetic induction intensity is used as the vertical axis to establish a hysteresis loop, and the maximum value of the product of the magnetic induction intensity and the magnetic field intensity in the hysteresis loop is obtained, which is marked as the stored maximum magnetic energy product. The area enclosed by the hysteresis loop is calculated by numerical integration, which is marked as the hysteresis loss value. The absolute value of the point where the hysteresis loop intersects with the magnetic induction intensity axis is obtained, which is marked as the residual magnetism value. The stored maximum magnetic energy product, the hysteresis loss value, the residual magnetism value, and the left-right asymmetry value of the magnetic field are weighted and multiplied by the corresponding weight factor coefficient to obtain the hysteresis energy loss pair value of each power generation unit. With the hysteresis energy loss pair value of each power generation unit as the vertical axis and time as the horizontal axis, a hysteresis energy loss pair value change curve of each power generation unit is established, with the hysteresis energy loss pair value corresponding to the initial monitoring time as the reference value, a baseline parallel to the horizontal axis is established, and the vertical distance from each point in the hysteresis energy loss pair value change curve to the baseline is counted and summed to obtain the hysteresis energy pair change trend value of each power generation unit; The discrete value of magnetic energy expansion and change of each power generation unit, the uniform magnetic phase divergence of each power generation unit and the hysteresis energy variation value of each power generation unit are normalized. The discrete value of magnetic energy expansion and change of each power generation unit is taken as the long side of the bottom of the cuboid, the uniform magnetic phase divergence of each power generation unit is taken as the short side of the bottom of the cuboid, and the hysteresis energy variation value of each power generation unit is taken as the height of the cuboid. A cuboid is constructed, and the surface area of the cuboid is identified and marked as the magnetic field dispersion hysteresis value of each power generation unit.
3. A load monitoring and control system for renewable energy power generation according to claim 2, characterized in that: The steps for analyzing the magnetic phase uniformity of each power generation unit are as follows: An optical interferometer is used to measure at different positions in the magnetic field of each power generation unit to obtain the pattern and change data of the interference fringes. The established mathematical relationship model is used to obtain the change in optical path length caused by the magnetic field at each measurement position. The value of the autocorrelation function of the change in optical path length caused by the magnetic field at each measurement position is calculated at different time delays to obtain a curve of the autocorrelation function of each measurement position with time delay. The time delay corresponding to the autocorrelation function dropping to a certain proportion is obtained, and the certain proportion is 1 / e. The time delay is multiplied by the correction factor coefficient value and marked as the magnetic coherence homogeneity span of each measurement position. The standard deviation of the magnetic coherence homogeneity span at each position is calculated and marked as the magnetic phase divergence of each power generation unit.
4. A load monitoring and control system for renewable energy power generation according to claim 2, characterized in that: The steps for analyzing the discrete values of the magnetic energy variation of each power generation unit are as follows: The magnetic field strength is measured at the junction of the magnetic pole and winding of each generating unit of the magnetic generator by a Hall effect magnetometer, and the time series number Q(t) of the magnetic field strength is obtained. Substituting it into the formula m(t)=ψ1×Q(t) 2 / 2, and the magnetic field energy density value time series m(t) is obtained, ψ1 is the correction factor coefficient, according to the formula Get the magnetic field energy density sudden change value Cbz, is the average value of the energy density time series, i represents the sequence number of the time series, and takes a positive integer with a maximum value of I. The time series data m(t) of the magnetic field energy density is Fourier transformed to obtain the magnetic field energy density spectrum M(f). According to the set formula czz(f)=ψ2×M(f) 2 / I, get the magnetic field energy fluctuation value czz(f) at each frequency, ψ2 is the correction factor coefficient, compare the magnetic field energy fluctuation value at each frequency with the set magnetic field energy fluctuation value, if the magnetic field energy fluctuation value of the frequency is greater than the set threshold C high , then the frequency is corresponding to the high energy fluctuation frequency. If the magnetic field energy fluctuation value of the frequency is less than the set threshold C high Greater than the set threshold C low , then the frequency is corresponding to the medium energy fluctuation frequency. If the magnetic field energy fluctuation value of the frequency is less than the set threshold C low , then the frequency is corresponded to the low-energy fluctuation frequency, and the proportion of high-energy fluctuation frequency, medium-energy fluctuation frequency and low-energy fluctuation frequency is counted, marked as gnz, znz and dnz respectively, and calculated with the magnetic field energy density sudden change value Cbz to obtain the magnetic energy fluctuation discrete value CLZ of each power generation unit.
5. A load monitoring and control system for renewable energy power generation according to claim 1, characterized in that: The steps for analyzing the magnetic pole transition sink value of each power generation unit are as follows: The migration distance of the coordinates of the specific position of the grain boundary of the magnetic pole mark of each power generation unit within a certain period of time is monitored by a metallographic microscope, and marked as the migration value of the magnetic pole grain boundary of each power generation unit; the magnetic pole and the reference object of each power generation unit, the reference object is alumina, and no thermal effect occurs, are heated in two identical heating furnaces at the same heating rate, and the heating power to the magnetic pole and the reference object is adjusted to ensure that the temperature difference between the magnetic pole and the reference object is zero, and the power difference and temperature change data of the magnetic pole and the reference object are obtained, and a power difference temperature variation curve is established with temperature as the horizontal axis and power difference as the vertical axis, and compared with the standard power difference temperature variation curve, the peak position offset and the peak area change rate are obtained and summed to obtain the magnetic pole phase structure variation value of each power generation unit; The magnetic pole grain boundary migration value and the magnetic pole phase structure variation value of each power generation unit are marked as cjq and cxj respectively, and normalized with the magnetic pole lattice defect value jqz of each power generation unit and substituted into the set formula Calculation is performed to obtain the magnetic pole transition sink value CQB of each power generation unit, wherein rzl is the proportion of edge dislocations, and h1, h2, h3, h4, h5 and h6 are all preset weight factor coefficients.
6. A load monitoring and control system for renewable energy power generation according to claim 5, characterized in that: The steps for analyzing the magnetic pole lattice defect value of each power generation unit are as follows: Step 1: Obtain transmission electron microscope grayscale TEM images of the magnetic poles of the magneto generator of different batches, usage time and working conditions in the database, calculate the dislocation line grayscale co-occurrence matrix of the grayscale image in the database, extract correlation and contrast texture features, and mark them as grayscale co-occurrence matrix features, calculate the grayscale gradient of the dislocation line through the edge detection algorithm, and mark them as grayscale gradient features, extract the dislocation line width, length and curvature features through expansion and corrosion morphological operations, and mark them as morphological features, mark the grayscale co-occurrence matrix features, grayscale gradient features and morphological features as gray-gradient morphological features of the dislocation line, perform microstructural analysis on the magnetic poles of each power generation unit of the magneto generator through a transmission electron microscope, obtain the magnetic pole TEM image of each power generation unit, match it with the gray-gradient morphological features of the dislocation line in the data, and determine the position and distribution of the dislocation lines in the magnetic poles of each power generation unit; Step 2: Obtain the inter-lattice fringe distortion value, the half-inverse value of the lattice fringe curvature, and the number of interruptions in each region of the magnetic pole TEM image of each power generation unit, and sum them up to obtain the lattice distortion value of each region, wherein the inter-lattice fringe distortion value is the absolute value of the difference between the lattice fringe spacing value and the set value, and the half-inverse value of the lattice fringe curvature is the inverse of the lattice fringe curvature radius. If the lattice distortion value of each region is less than the set threshold TG1, the corresponding region is a complete lattice region, and the atoms in this region are selected as the starting point of the custom loop, and the direction of the custom loop is specified to be clockwise, with the distance between adjacent atoms in the lattice as the step length, and gradually move along the atomic column direction of the lattice until it returns to the starting point to form a custom closed loop, and the end point of the custom closed loop is drawn as a vector to the starting point, marked as a parameter vector; Step 3: Obtain the staggered information of the dislocation line and the physical parameter vector in the magnetic pole. If the dislocation line is perpendicular to the physical parameter vector, the dislocation line is an edge dislocation. If the dislocation line is parallel to the physical parameter vector, the dislocation line is a rotation dislocation. If they are neither parallel nor perpendicular, it is determined to be a mixed dislocation, and the edge dislocation, mixed dislocation, and rotation dislocation are corresponding to values a1, a2, and a3, respectively, and a1>a2>a3. Count the number of edge dislocations, mixed dislocations, and rotation dislocations in each magnetic pole, mark them as b1, b2, and b3, respectively, and substitute them into the set formula jqz=a1×b1+a2×b2+a3×b3 to obtain the magnetic pole lattice defect value jqz of each power generation unit.
7. A load monitoring and control system for renewable energy power generation according to claim 1, characterized in that: The steps for complex value analysis of the operating electromechanical rail of each power generation unit are as follows: The motion trajectory of the rotor journal center of each power generation unit relative to the plane of the bearing seat is obtained, and the points of the axis trajectory are connected in chronological order to form a polygon. The vertex coordinates of the polygon are obtained, and the vectors of the adjacent edges are constructed. If the vector of the adjacent edge is greater than zero, the vertex is a convex vertex. If the vector of the adjacent edge is less than zero, the vertex is a concave vertex. If the vector of the adjacent edge is equal to zero, the vertex is collinear with the adjacent vertex. The convex vertex corresponds to counterclockwise rotation, and the concave vertex corresponds to clockwise rotation. The number of vertices that rotate counterclockwise and clockwise is obtained, marked as nl and ns, and substituted into the set formula JDZ = (ns-nl) / (ns+nl) to obtain the definition value JDZ of the precession direction. If the precession direction If the definition value JDZ of the precession direction is greater than zero, the corresponding precession direction is reverse precession. If the definition value JDZ of the precession direction is less than zero, the corresponding precession direction is positive precession. The number of changes of positive and reverse precession in the precession direction within a certain period of time is counted and marked as the rotor shaft track complex value of each power generation unit. The temperature gradient inside the bearing of each power generation unit and the frequency of current exceeding the threshold are obtained, and they are normalized with the rotor shaft track complex value of each power generation unit, marked as wtz, dlc and zzz respectively, and substituted into the set formula JDG=h1×wtz+h2×dlc+h3×zzz to obtain the operating electromechanical track complex value JDG of each power generation unit, where h1, h2 and h3 are the set influencing factor coefficients.
8. A load monitoring and control system for renewable energy power generation according to claim 1, characterized in that: The steps of analyzing the operation adjustment status of the power generation unit are as follows: Adjust the operating power of the severely operating power generating units and the normally operating power generating units. The adjustment coefficients are y1 and y2 respectively. The adjustment coefficient is the ratio of the adjusted power to the rated power. When the operating status of the power generating unit deviates from the normal state, it should be appropriately reduced to ensure the safety of operation. The power consumption of the industrial plant at each time point in the production history of each day is obtained and multiplied by the output power redundancy coefficient j1 to obtain the power generation required at each time point in the industrial plant production. This is matched with the adjusted operating power of each power generation unit to obtain the number of power generation units operating at each time point and the corresponding operating power.
9. A load monitoring and control system for renewable energy power generation according to claim 8, characterized in that: The analysis steps of the severely operating power generation unit and the normally operating power generation unit are as follows: If the operation variation value of the power generation unit is within the operation variation interval PT1, the corresponding power generation unit is a severely abnormal operation power generation unit, and is displayed with a red color light, and stops operating; if the operation variation value of the power generation unit is within the operation variation interval PT2, the corresponding power generation unit is a relatively serious operation power generation unit, and is displayed with an orange color light; if the operation variation value of the power generation unit is within the operation variation interval PT3, the corresponding power generation unit is a normally operating power generation unit, and is displayed with a green color light; the operation and maintenance personnel arrange the maintenance plan according to the status of the three-color light of each power generation unit, and the red color light should be arranged earlier than the orange color light.
10. A load monitoring and control system for renewable energy power generation according to claim 9, characterized in that: The operation variation analysis steps of the power generation unit are as follows: The magnetic pole migration sink value of each power generation unit, the magnetic field dispersion hysteresis value of each power generation unit and the operating electromechanical track complex value of each power generation unit are normalized, weighted and calculated, and multiplied by the corresponding proportional factor coefficient to obtain the operating variation value of each power generation unit.