CN-122022540-A - Hydropower station performance assessment method and system based on HICS intelligent controller

CN122022540ACN 122022540 ACN122022540 ACN 122022540ACN-122022540-A

Abstract

The invention discloses a hydropower station performance assessment method and system based on an HICS intelligent controller, and relates to the technical field of hydroelectric generation. The method comprises the steps of obtaining real-time operation parameters through HICS, constructing a first performance boundary set, projecting an operation track to boundary dimensions, calculating offset vectors in all directions, associating offset with response time of a regulating valve, exciting current adjustment amplitude and guide vane adjustment speed errors, generating a boundary offset data set, updating boundary adjustable allowance, correcting and establishing a second performance boundary set, calculating offset proportion of the track in the second set, and outputting the offset proportion as normalized performance evaluation values. The technical problems that the conventional hydropower station performance assessment method is difficult to reflect the real adjustment capability of a unit under the conditions of multi-operation parameter coupling and dynamic working condition change, so that assessment results are static, assessment efficiency and accuracy are insufficient are solved, and the technical effects of improving the accuracy, rationality and engineering applicability of the hydropower station performance assessment results are achieved.

Inventors

LIU QINGWANG
CHEN LIWEI
MEI XIAOLONG
YU YANDONG
Zhou Zhenbai
WANG YUNJIE
YANG XI

Assignees

大唐河北发电有限公司王快发电分公司

Dates

Publication Date: 20260512
Application Date: 20251217

Claims (10)

1. Hydropower station performance assessment method based on HICS intelligent controller is characterized by comprising the following steps: Acquiring real-time water head, water inlet and outlet flow, guide vane opening, unit vibration amplitude, exciting current, load instruction and unit rotating speed operation parameters through HICS intelligent control, and constructing a first performance boundary set based on the acquired result according to a physical constraint relation; Reading running track parameters of a hydropower station unit, projecting the running track parameters onto boundary dimensions corresponding to the first performance boundary set, and calculating deviation vectors of running points in each boundary direction according to projection results; Carrying out association statistics on the deviation vector and the response time, the exciting current adjustment amplitude and the guide vane adjustment speed error of the actual adjusting valve at the corresponding moment, and generating a boundary deviation data set for representing the actual adjustment capacity change of the hydropower station unit according to association statistics results; updating the adjustable margin of each boundary by using the boundary deviation data set, correcting the first performance boundary set, and establishing a second performance boundary set; Calculating a boundary normalized performance evaluation value according to the deviation proportion of the running track parameter in the second performance boundary set, and outputting the boundary normalized performance evaluation value as an evaluation result of running performance.
2. The HICS intelligent controller-based hydropower station performance assessment method of claim 1, wherein generating a boundary deviation dataset for characterizing changes in actual turndown capacity of a hydropower station unit based on correlation statistics includes: carrying out sliding window filtering processing on the offset vector according to time sequence, and removing the offset smaller than the unit inertia response time constant or the average change rate of the window lower than a preset threshold value based on the unit inertia response time constant, the minimum resolution dead zone of the speed regulator and the mechanical hysteresis threshold value of the guide vane to construct an effective offset sequence; performing piecewise linear regression on the effective deviation sequence, the corresponding actual opening change rate of the regulating valve, the exciting current change rate and the maximum allowable acceleration of the guide vane driving executing mechanism, and calculating the maximum reachable adjustment amplitude when the deviation is generated under the constraint that the thermal limit value, the structural deformation limit value and the exciting current limit value of the guide vane driving executing mechanism are met; and carrying out normalization processing on each deviation amount of the deviation amount vector and the corresponding maximum reachable adjustment amplitude, constructing a capability factor of the reachable adjustment capability of the hydropower station unit under the deviation triggering, and constructing a boundary deviation data set based on the capability factor and the actual deviation amount.
3. The HICS intelligent controller-based hydropower station performance assessment method of claim 2, wherein updating the adjustable margin of each boundary with the boundary deviation dataset, modifying the first performance boundary set, and establishing a second performance boundary set includes: Reading backtracking operation data of a hydropower station unit, and extracting long-term health features according to the backtracking operation data, wherein the long-term health features comprise bearing vibration trend, guide vane actuator abrasion accumulation amount and excitation system long-term response change; performing time weighted average on the long-term health characteristics to construct a long-term state index; Combining the capacity factor with the long-term state index to form a composite adjustment coefficient of each boundary dimension; And after configuring an adjustable allowance according to the composite adjustment coefficient and the actual deviation amount, updating each boundary dimension of the first performance boundary set.
4. The HICS intelligent controller-based hydropower station performance assessment method of claim 1, wherein calculating boundary normalization performance evaluation values of the deviation proportions of the running track parameters in the second performance boundary set includes: performing weighted coupling on the deviation proportion based on the self-adaptive weight to form a multidimensional coupling deviation vector; Carrying out normalization processing on each component in the multidimensional coupling offset vector, and establishing a normalized offset value; Weighting the normalized deviation value according to time sequence, and establishing a weighted result; and constructing a boundary normalized performance evaluation value according to the weighted result.
5. The method for evaluating performance of a hydropower station based on an HICS intelligent controller according to claim 4, wherein the running track parameters are subjected to scene coverage recognition of running load level and hydrologic condition level, a scene coverage recognition result is established, the weighted result is subjected to weighted integration under scene coverage trust by using the scene coverage recognition result, and a boundary normalization performance evaluation value with trust identification is established.
6. The HICS intelligent controller-based hydropower station performance assessment method of claim 4, wherein weighting and coupling the deviation ratio based on adaptive weights to form a multidimensional coupling deviation vector includes: Acquiring performance contribution degrees of different boundary dimensions to a hydropower station unit, and establishing a basic weight; Identifying the most significant influence direction of the deviation proportion by a singular value decomposition method, and establishing a sensitivity weight of key deviation according to the identification result; and carrying out weight fusion by utilizing the basic weight and the sensitivity weight to construct an adaptive weight.
7. The HICS intelligent controller-based hydropower station performance assessment method of claim 1, wherein constructing a first performance boundary set based on the obtained results according to the physical constraint relation includes: Determining a maximum power generation capability boundary based on the real-time water head, the guide vane opening and the load instruction; Determining a minimum stable output boundary based on the vibration amplitude of the unit, the water inlet and outlet flow rate and the opening of the guide vane; determining a safety constraint boundary based on the unit rotating speed, the unit vibration amplitude and the exciting current; And forming a first performance boundary set required by performance evaluation in the current period according to the maximum power generation capability boundary, the minimum stable output boundary and the safety constraint boundary in time sequence.
8. The HICS intelligent controller-based hydropower station performance assessment method according to claim 1, wherein outputting the boundary normalization performance assessment value as an assessment result of operation performance, further comprises: Establishing an overhaul verification data set of a hydropower station unit; Verifying the boundary normalized performance evaluation value by using the overhaul verification data set, and establishing verification feedback; And performing assessment strategy correction management according to the verification feedback.
9. The HICS intelligent controller-based hydropower station performance assessment method according to claim 1, wherein outputting the boundary normalization performance assessment value as an assessment result of operation performance, further comprises: encrypting and storing the assessment result to an assessment database; performing time sequence mutation identification on the assessment database, and establishing an additional abnormal value; And after compensating the assessment result according to the additional abnormal value, carrying out assessment abnormal report.
10. Hydropower station performance assessment system based on an HICS intelligent controller, which is characterized by being used for implementing the hydropower station performance assessment method based on the HICS intelligent controller according to any one of claims 1-9, and comprising: The operation parameter acquisition module acquires real-time water head, water inlet and outlet flow, guide vane opening, unit vibration amplitude, exciting current, load instruction and unit rotating speed operation parameters through HICS intelligent control, and constructs a first performance boundary set based on the acquired result according to a physical constraint relation; the deviation projection module is used for reading the running track parameters of the hydropower station unit, projecting the running track parameters onto boundary dimensions corresponding to the first performance boundary set, and calculating deviation vectors of the running points in the directions of the boundaries according to projection results; the association statistics module is used for carrying out association statistics on the deviation vector and the response time, the exciting current adjustment amplitude and the guide vane adjustment speed error of the actual adjusting valve at the corresponding moment, and generating a boundary deviation data set for representing the actual adjusting capacity change of the hydropower station unit according to association statistics results; The performance boundary correction module is used for correcting the first performance boundary set after updating the adjustable margin of each boundary by using the boundary deviation data set, and establishing a second performance boundary set; And the deviation ratio calculation module is used for calculating a boundary normalized performance evaluation value according to the deviation ratio of the running track parameter in the second performance boundary set, and outputting the boundary normalized performance evaluation value as an evaluation result of the running performance.

Description

Hydropower station performance assessment method and system based on HICS intelligent controller Technical Field The invention relates to the technical field of hydroelectric generation, in particular to a hydropower station performance assessment method and system based on an HICS intelligent controller. Background With the continuous expansion of new energy grid-connected scale, the power system provides higher requirements for the running performance of the hydropower station in aspects of peak regulation, frequency modulation, voltage regulation, quick response and the like. Hydropower stations are used as important renewable energy source regulating power sources in electric power systems, and the running performance of the hydropower stations directly affects the safe and stable running of a power grid. In order to normalize and quantify the operation effect of a hydropower station in the aspects of automatic power generation control (AGC), automatic Voltage Control (AVC), primary frequency modulation and the like, a power grid side generally checks the operation performance of the hydropower station according to related technical rules. The existing hydropower station performance assessment method is mainly based on fixed threshold values, static indexes or single-dimension operation parameters for evaluation, and usually adopts an offline statistics or post analysis mode to complete the assessment. The method does not fully consider the dynamic change characteristics of the hydropower station unit under different water heads, hydrologic conditions, load levels and equipment health states, and is difficult to accurately reflect the real regulating capability and performance boundary of the unit in the actual running process. Meanwhile, due to the fact that the problems of mechanical abrasion, hysteresis of an actuating mechanism, performance attenuation of an electrical system and the like inevitably exist in the long-term operation process of the unit, the fact that an assessment result is not matched with the actual operation capability of the unit is easily caused by the fact that an assessment boundary is fixed, and misjudgment or an assessment is not public is further generated. Disclosure of Invention The application provides a hydropower station performance assessment method and a hydropower station performance assessment system based on an HICS intelligent controller, which solve the technical problems that the conventional hydropower station performance assessment method mainly depends on post statistics data and fixed design or theoretical boundaries, and is difficult to reflect real adjustment capability of a unit under multiple operation parameter coupling and dynamic working condition change, so that assessment results are static, and assessment efficiency and accuracy are insufficient. In a first aspect of the present application, there is provided a hydropower station performance assessment method based on an HICS intelligent controller, the method comprising: The method comprises the steps of obtaining real-time water head, water inlet and outlet flow, guide vane opening, unit vibration amplitude, exciting current, load instructions and unit rotating speed operation parameters through HICS intelligent control, constructing a first performance boundary set based on an obtained result according to a physical constraint relation, reading operation track parameters of a hydropower unit, projecting the operation track parameters onto boundary dimensions corresponding to the first performance boundary set, calculating deviation vectors of operation points in all boundary directions according to projection results, carrying out correlation statistics on the deviation vectors and actual regulating valve response time, exciting current regulating amplitude and guide vane regulating speed errors at corresponding moments, generating a boundary deviation data set used for representing actual regulating capacity change of the hydropower unit according to correlation statistics results, correcting the first performance boundary set after the adjustable allowance of all boundaries is updated by the boundary deviation data set, establishing a second performance boundary set, calculating boundary normalized performance evaluation values according to deviation proportions of the operation track parameters in the second performance boundary set, and outputting the boundary normalized performance evaluation values as operation performance assessment results. In a second aspect of the present application, there is provided a hydropower station performance assessment system based on an HICS intelligent controller, the system comprising: The system comprises an operation parameter acquisition module, a deviation projection module, a correlation statistics module, a performance boundary correction module and a deviation proportion calculation module, wherein the operation parameter acquisition module acquire