CN112003317A - Method and device for optimizing power regulation input and output of hydroelectric generating set - Google Patents

Method and device for optimizing power regulation input and output of hydroelectric generating set Download PDF

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Publication number
CN112003317A
CN112003317A CN202010504195.9A CN202010504195A CN112003317A CN 112003317 A CN112003317 A CN 112003317A CN 202010504195 A CN202010504195 A CN 202010504195A CN 112003317 A CN112003317 A CN 112003317A
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power
regulation
input
output control
value
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CN112003317B (en
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单鹏珠
阎应飞
孙毅
吴宁
王雁
戎刚
杜晨辉
赵宇
蔡杰
韩晓言
胡灿
丁理杰
滕予非
陈刚
王亮
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State Grid Sichuan Electric Power Co Ltd
Electric Power Research Institute of State Grid Sichuan Electric Power Co Ltd
Nari Technology Co Ltd
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State Grid Sichuan Electric Power Co Ltd
Electric Power Research Institute of State Grid Sichuan Electric Power Co Ltd
Nari Technology Co Ltd
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/381—Dispersed generators
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
    • H02J3/16—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by adjustment of reactive power
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20—The dispersed energy generation being of renewable origin
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/30—Reactive power compensation
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/12—Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation
    • Y04S10/123—Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation the energy generation units being or involving renewable energy sources
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/22—Flexible AC transmission systems [FACTS] or power factor or reactive power compensating or correcting units
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
    • Y04S10/52—Outage or fault management, e.g. fault detection or location
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
    • Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment

Abstract

The invention discloses a method and a device for optimizing power regulation input and output of a hydroelectric generating set, wherein a reliability index is adopted for a multi-input source of power regulation, a stability index is adopted for a multi-output control mode, and a dynamic optimization matrix is used for automatically selecting an optimal input and output mode, wherein a measurement source is input with an acquisition table, a power transmitter and a power acquisition module, two parameters of a channel state and a measurement point quality are introduced to calculate the reliability index of the input mode, and the higher the index is, the higher the reliability of the input mode is; the output control mode comprises pulse regulation, communication regulation and mold-out regulation, three parameters of channel state, regulation time and regulation fluctuation are introduced to calculate the stability index of the output mode, and the higher the index is, the higher the stability of the output control mode is. The method dynamically optimizes the input and output modes of hydropower unit power regulation, improves the input reliability of various measurement sources and the stability of various control regulation output modes, and improves the operation efficiency of the hydropower unit.

Description

Method and device for optimizing power regulation input and output of hydroelectric generating set
Technical Field
The invention relates to the technical field of water conservancy and hydropower regulation and control, in particular to a method and a device for optimizing input and output of hydroelectric generating set power.
Background
The important function of the hydroelectric power plant is to convert the water potential energy into electric energy and transmit the electric energy through a power network, so that the active power and the reactive power of the unit need to be dynamically adjusted and controlled in real time according to the power dispatching requirement in order to guarantee the quality of the transmitted electric energy.
The regulation and control of active power and reactive power of hydraulic power plant are commonly completed by computer monitoring system, speed regulator or exciting device and water-turbine generator set, at present, the most mature control mode of power regulation of hydraulic power plant is PID regulation, and the computer monitoring system and speed regulator or exciting device form a power closed loop system. The PID closed loop is generally realized in two modes of a monitoring system closed loop and a speed regulator or an excitation device closed loop.
The closed loop of the monitoring system means that the regulation and control of active power or reactive power are mainly completed by a computer monitoring system, and a speed regulator or an excitation device is only used as an actuating mechanism. The computer monitoring system calculates the increasing/decreasing pulse width of active power or reactive power through a PID algorithm according to a power set value, and adjusts a guide vane of a speed regulator or a regulator of an excitation device to complete power regulation of a unit; the closed loop of the speed regulator or the exciting device means that the regulation and control of active power or reactive power are mainly completed by the speed regulator or the exciting device, a computer monitoring system is only used as the input of a power set value, and a PID algorithm is realized in a controller of the speed regulator or the exciting device. The PID closed-loop regulation of the monitoring system is a main regulation and control mode of the hydropower station, and the closed loop of the speed regulator or the excitation device is gradually applied to large hydropower stations or pumped storage power stations.
In the power regulation of the hydroelectric generating set, various power measurement source inputs and various control regulation output modes exist. In the existing power regulation of a unit, most of the consideration on a power input source is to perform manual or automatic sequencing on power quality, and the control regulation output mode is also an operation mode of mainly using one mode and standby using the other modes, and mainly using a fault is switched to standby, so that a comprehensive judgment and processing method of reliability and stability among various input and output modes is not considered, and the power regulation of the unit cannot be performed by using an optimal input and output mode.
Disclosure of Invention
The invention provides a method and a device for optimizing input and output of hydropower unit power, aiming at improving the reliability of various measurement source input and various control and regulation output modes, enhancing the stability of hydropower unit operation and improving the operation efficiency of a power station.
In order to achieve the purpose, the invention adopts the technical scheme that:
the invention provides a hydroelectric generating set power regulation input and output optimization method, which comprises the following steps:
calculating a reliability matrix of an input measurement source and calculating a stability matrix of an output control mode;
constructing a dynamic optimization matrix based on the reliability matrix of the input measurement source and the stability matrix of the output control mode;
and solving the dynamic optimization matrix, and selecting the input and output mode corresponding to the largest element in the dynamic optimization matrix as the optimal input and output mode combination.
Further, the calculating a reliability matrix of the input measurement source includes:
Figure BDA0002525948560000021
Ij＝Icomj*Iquaj,j＝1,2,3；
where I is the reliability matrix of the input measurement source, IjIndicating the reliability index, Icom, of the jth input measurement sourcejIndicating the channel state of the jth input measurement source, IQajRepresenting a figure of merit for the jth input measurement source;
the input measurement source includes: the device comprises a cross-production meter, a power transmitter and a power acquisition module.
Further, the channel state of the input measurement source is calculated as follows:
if the input measurement source is the input of the alternate acquisition table, if the communication is normal, the channel state value is 1; if the communication is interrupted, the channel state value is 0;
if the input measurement source is the input of the power transmitter, if the code value is not 0, the channel state value is 1; if the code value is 0, the channel state value is 0;
if the input measurement source is the input of the power acquisition module, if the code value is not 0, the channel state value is 1; if the code value is 0, the channel state value is 0.
Further, the quality coefficient of the input measurement source is calculated as follows:
Figure BDA0002525948560000022
wherein N is the number of times of power regulation of the unit, and N is the number of times of unreliable quality in the number of times of power regulation of the unit;
defining that the value of the power code acquired by the power transmitter and the power acquisition module exceeds the range of [4000, 20000], and ensuring that the quality of the measuring point is unreliable; and if the power acquired by the alternative acquisition table is defined to exceed the rated power limit range, the quality of the measuring point is unreliable.
Further, the calculating the stability matrix of the output control mode includes:
Figure BDA0002525948560000023
Os＝Ocoms*Otimes*Oflucs,s＝1,2,3；
where O is the stability matrix of the output control mode, OsIs a stability index of the s-th output control mode, OcomsIs the channel state of the s-th output control mode, OtimesFor adjusting time of the s-th output control mode, OflucsThe regulation fluctuation for the s-th output control mode;
the output control mode comprises the following steps: pulse regulation, communication regulation and mode ejection.
Further, the channel state of the output control mode is calculated as follows:
if the output control mode is communication regulation, if the power set value is the same as the measured value of the power set value feedback value, the channel state value is 1; if the power set value is different from the measured value of the power set value feedback value, the channel state value is 0;
if the output control mode is pulse adjustment, if the pulse output signal is consistent with the pulse reverse correction signal, the channel state value is 1; if the pulse output signal is inconsistent with the pulse reverse correction signal, the channel state value is 0;
if the output control mode is a mode-out mode, if the power set value is the same as the power set inverse correction value code value, the channel state value is 1; if the power setting value is different from the power setting inverse correction code value, the channel state value is 0.
Further, the adjustment time of the output control mode is calculated as follows:
Figure BDA0002525948560000031
m＝l*P，1≤l≤M；
P＝Pe/M；
wherein Ti is the ith power regulation time, AvrTm is the constant power average regulation time, l represents the multiplying power, PeM is a positive integer representing P for rated power of the uniteDividing into M equal parts;
ti is the time from the power regulation of the ith time to the time when the unit power falls into the power regulation dead zone Pdb after the power regulation of the unit receives the issued set value;
AvrTm is the average time elapsed to complete the power-fixed adjustment of the l-magnification.
Further, the regulation fluctuation of the output control manner is calculated as follows:
Figure BDA0002525948560000032
Figure BDA0002525948560000033
Figure BDA0002525948560000034
Figure BDA0002525948560000035
wherein, CountsThe number of single power regulation fluctuation is defined as the number of times that the real power value exceeds the power set value for the first time and the real power value within the regulation time T returns to the power regulation dead zone Pdb of the unit after the power set value is issued, C s1 represents that the real power value is positioned in a unit power regulation dead zone, CsThe real power value is represented as 0, and the real power value is outside the unit power regulation dead zone; preal represents a power actual sending value, and Pset represents a power set value; AvrCn represents the average number of power regulation fluctuations in the three output control modes.
Further, the constructing a dynamic optimization matrix based on the reliability matrix of the input measurement source and the stability matrix of the output control mode includes:
Figure BDA0002525948560000041
wherein M is a dynamic optimization matrix, I is a reliability matrix of an input measurement source, O is a stability matrix of an output control mode, IjRepresenting the reliability index, O, of the jth input measurement sourcesJ is 1,2,3, and s is 1,2,3, which are stability indicators of the s-th output control scheme.
The invention also provides a hydroelectric generating set power regulation input and output optimization device, which comprises:
the calculation module is used for calculating a reliability matrix of the input measurement source and calculating a stability matrix of the output control mode;
the model building module is used for building a dynamic optimization matrix based on the reliability matrix of the input measurement source and the stability matrix of the output control mode;
and the number of the first and second groups,
and the output module is used for solving the dynamic optimization matrix and selecting the input and output mode corresponding to the largest element in the dynamic optimization matrix as the optimal input and output mode combination.
Further, the computing module is specifically configured to,
computing a reliability matrix of input measurement sources, comprising:
Figure BDA0002525948560000042
Ij＝Icomj*Iquaj,j＝1,2,3；
where I is the reliability matrix of the input measurement source, IjIndicating the reliability index, Icom, of the jth input measurement sourcejIndicating the channel state of the jth input measurement source, IQajRepresenting a figure of merit for the jth input measurement source;
the input measurement source includes: the system comprises an alternating current acquisition meter, a power transmitter and a power acquisition module;
calculating a stability matrix of an output control mode, comprising:
Figure BDA0002525948560000043
Os＝Ocoms*Otimes*Oflucs,s＝1,2,3；
where O is the stability matrix of the output control mode, OsIs a stability index of the s-th output control mode, OcomsIs the channel state of the s-th output control mode, OtimesFor adjusting time of the s-th output control mode, OflucsThe regulation fluctuation for the s-th output control mode;
the output control mode comprises the following steps: pulse regulation, communication regulation and mode ejection.
Further, the model building module is specifically configured to build a dynamic optimization matrix, including:
Figure BDA0002525948560000051
wherein M is a dynamic optimization matrix, I is a reliability matrix of an input measurement source, O is a stability matrix of an output control mode, IjRepresenting the reliability index, O, of the jth input measurement sourcesJ is 1,2,3, and s is 1,2,3, which are stability indicators of the s-th output control scheme.
The invention has the advantages that:
the method is based on the reliability matrix of the input measurement source and the stability matrix of the output control mode, constructs the dynamic optimization matrix, and optimizes the input and output modes of the hydroelectric generating set power regulation through the dynamic matrix, thereby improving the reliability and stability of the set power regulation.
Drawings
Fig. 1 is a block diagram of a hydroelectric generating set power regulation control.
Fig. 2 is a schematic diagram of a process for determining a state of a measurement source channel for power regulation input of a hydroelectric generating set.
Fig. 3 is a schematic diagram of a process for calculating the quality of a measurement point of a measurement source for power adjustment input of a hydroelectric generating set.
Fig. 4 is a schematic diagram of a channel state judgment process of a hydroelectric generating set power regulation output control mode.
Fig. 5 is a schematic flow chart illustrating calculation of the adjustment time of the power adjustment output control mode of the hydroelectric generating set.
Fig. 6 is a schematic flow chart of calculation of regulation fluctuation of a hydroelectric generating set power regulation output control mode.
Detailed Description
The invention is further described below. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
Referring to fig. 1, the hydroelectric generating set power control system comprises an input module, a control module and an output module, wherein the input module comprises an alternate collection meter, a power transmitter and a power collection module; the output module comprises pulse regulation output, communication regulation output and mode output; the control module comprises an inner ring PID control module, an outer ring fine tuning control module and a dynamic optimization matrix module; the hydroelectric generating set power regulation and control objects are a water turbine speed regulator and a generator excitation system.
The input module provides three input measurement sources:
the alternating current collection meter can collect real-time electrical data such as voltage, current, power and the like in real time through a communication mode.
The power transmitter can acquire 4-20mA electric signals in real time in a hard wiring mode and convert the electric signals into actual electric data.
The power acquisition module can acquire 4-20mA electric signals in real time in a hard wiring mode and convert the electric signals into actual electric data.
And the inner ring PID control module is used for outputting an active power set value instruction and a reactive power set value instruction to the output module.
The outer ring fine adjustment control module is used for calculating fine adjustment pulse width and sending the fine adjustment pulse width to the output module. The calculated fine tuning pulse width is realized through a PID function module in the local control unit PLC and is output through DO.
And the dynamic optimization matrix module is used for calculating an optimal input and output combination mode and outputting the optimal input and output combination mode to the output module.
The output module provides three output control modes:
the pulse regulation output is used for sending pulse increasing and decreasing instructions to the speed regulator or the excitation system according to the calculated fine-tuning pulse width, the speed regulator performs guide vane opening change according to the pulse width to realize active power regulation, and the excitation system increases and decreases magnetism of the regulator according to the pulse width to realize reactive power regulation.
The communication regulation output is used for issuing a power set value instruction to the speed regulator or the excitation system, and the regulation of the unit power is completed by the PID regulation function of the speed regulator or the excitation system.
The output of the mode output is used for controlling a regulating instruction to be issued to the speed regulator or the excitation system in a 4-20mA signal, and the regulation of the unit power is completed by the PID regulating function of the speed regulator or the excitation system. The mold-out mode module adopts an AO mold-out module of a monitoring system local control unit PLC.
Based on the system, the invention provides a hydroelectric generating set power regulation input and output optimization method, which comprises the following steps:
step 1, determining an input measurement source channel state Icom; referring to fig. 2, comprising:
(11) if the input source is the input of the alternate mining table, if the communication is normal, Icom is 1; icom is 0 if communication is interrupted.
(12) If the input source is input by the power transmitter, if the code value is not 0, indicating that the channel is normal, Icom is 1; if the code value is 0, indicating channel interrupt, Icom is 0.
(13) If the input source is the input of the power acquisition module, if the code value is not 0, indicating that the channel is normal, Icom is 1; if the code value is 0, indicating channel interrupt, Icom is 0.
Step 2, determining a quality coefficient of an input measurement source measurement point; referring to fig. 3, comprising:
in engineering, most of power transmitters and power acquisition modules acquire code values in the range of 4000, 20000, and the code value range can be adjusted according to actual field; and if the collected power code value exceeds the range of 4000, 20000, the quality of the measuring point is considered to be unreliable. For the alternate mining table, the power rated limit value can be used as a judgment standard, and the quality is considered to be unreliable if the range of the power rated limit value is exceeded.
The calculation of the quality of the measuring points is statistically calculated by the times of unreliable quality, such as: the initial quality coefficient of the alternate collection table can be set to be 1.0, the initial quality coefficient of the power transmitter can be set to be 1.0, and the initial quality coefficient of the power collection module can be set to be 1.0. The quality coefficient IQa is calculated by the following formula:
Figure BDA0002525948560000061
and N is the number of times of unit power regulation, and N is the number of times of unreliable quality in the number of times of unit power regulation.
And 3, calculating the reliability index of the input measurement source.
Inputting the reliability index of the measurement source: i isj＝Icomj*Iquaj,j＝1,2,3；
The reliability indexes of the three input measurement sources form a reliability matrix:
Figure BDA0002525948560000071
and 4, inputting a real-time measured value updating strategy of the measurement source.
And refreshing the real-time measured value of the power only when the quality of the power measuring point is reliable, otherwise keeping the last measured value of the power unchanged, refreshing when the quality of the power is reliable next time, and immediately switching the power input measuring source if the real-time measured value of continuous power adjustment for multiple times is unchanged.
And step 5, determining the output control mode channel state Ocom. Referring to fig. 4, including:
(51) if the output control mode is communication regulation, if the power set value is the same as the measured value of the power set value feedback value, indicating that the channel is normal, the Ocom is 1; if the measured value of the power set value and the measured value of the power set value feedback value are different, indicating that the channel is interrupted, the value of Ocom is 0.
(52) If the output control mode is pulse adjustment, if the pulse output signal is consistent with the pulse reverse correction signal, namely, the pulse output signal is 1 or 0, indicating that the channel is normal, the Ocom is 1; if the pulse-on signal and the pulse-off correction signal do not coincide, indicating that the channel is interrupted, the signal Ocom is 0.
(53) If the output control mode is a mode-out mode, if the power set value is the same as the power set inverse correction code value, indicating that the channel is normal, the Ocom is 1; if the power set point is different from the power set inverse calibration code value, indicating that the channel is interrupted, Ocom is 0.
(54) And outputting the reverse correction function of the control mode.
The reverse calibration of the communication regulation is to judge whether the power set value is consistent with the feedback value of the power set value or not to carry out calibration; the pulse mode is reversely calibrated by leading out a pair of auxiliary contacts from a pulse output DO relay, leading the auxiliary contacts into an opening point DI of the PLC and verifying according to whether the synchronous actions of the DI and the pulse DO are consistent or not; the mode of reverse calibration of the mode of mode output is to lead a feedback signal of a PLC mode output signal from a speed regulator or an excitation device to a mode input point AI of the PLC, and judge whether a set value code value is consistent with a reverse calibration value or not to perform calibration.
And 6, determining the output control mode adjusting time Otime. Referring to fig. 5, it includes:
(61) and calculating the power regulation time Ti of this time, namely the time from the time when the set power falls into the power regulation dead zone Pdb after the set power is received, and realizing the time by using a timer in the program.
(62) The fixed power threshold value P is determined, the power value of the unit rated power M equal parts can be generally used as the fixed power threshold value according to the field reality, the smaller the fixed power threshold value is, the more accurate the calculation is, but the smaller the fixed power is, the engineering application value is lost.
Taking a 300MW rated hydroelectric generating set as an example, the fixed power threshold may be set to P equal to 50MW, and M equal to 6. The 300MW power is divided into 6 equal parts, and the power value of each equal part is 50 MW.
(63) And calculating the average constant-power adjustment time AvrTm, namely the average time for completing the constant-power adjustment.
Figure BDA0002525948560000081
Wherein, M ═ l ═ P (1 ≤ l ≤ M)
l represents the magnification.
Taking the 300MW hydroelectric generating set as an example:
l 1, m 1P 50MW, AvrT50 represents the average time it takes for the unit to adjust 50MW constant power, the unit power is adjusted from 50MW to 100MW, or 60MW to 110MW, all accounting for the adjustment time of AvrT 50. I.e. m is actually the difference before and after power adjustment.
l 2, m 2P 100MW, AvrT100 represents the average time it takes for the unit to adjust 100MW constant power.
By analogy, l is 6, m is 6P is 300MW, and AvrT300 represents the average time it takes for the unit to adjust 300MW constant power.
If the power difference delta P before and after adjustment is not equal to the constant power value, the current power adjustment time Ti is counted as the average adjustment time of the response constant power according to the following principle:
(i) if it is
Figure BDA0002525948560000082
Ti counts as AvrTm.
(ii) If it is
Figure BDA0002525948560000083
Ti is then counted as AvrT (m-1).
Wherein: Δ P is the absolute value of the difference in power change before and after adjustment, i.e. Δ P ═ Pn-Pn-1|
PnFor the power measurement after the nth adjustment, Pn-1The power measured value after the n-1 th adjustment is obtained, and n-1 are in a front-back sequence relation.
The counting of Ti into the AvrTm is the calculation of the average time when the current adjustment time Ti is counted into the average time AvrTm, and the average time AvrTm is calculated after each adjustment and is calculated by continuously accumulating and calculating the adjustment time Ti for each time. M in AvrTm defines a number of constant power intervals, such as: 50, 100, 150, e.g., 100 times adjusted, with 50 Ti counts to AvrT50,30 to AvrT100, and 20 to AvrT 150.
For example: before and after the adjustment, the power difference delta P is 60MW, then PnIs 100MW, Pn-1Is the mixture of the carbon dioxide and the carbon dioxide, and is 50MW,
Figure BDA0002525948560000084
at 75MW, the current adjustment time is AvrT50, i.e., m is 50 MW; if Δ P is 80MW, the present adjustment time is AvrT100, i.e. m is 100 MW.
(64) Calculating output control mode adjustment time Otime:
Figure BDA0002525948560000085
in the formula: ti is the ith power adjustment time.
And 7, determining an output control mode to adjust the fluctuation Ofluc. Referring to fig. 6, it includes:
the regulation fluctuation is the number of times that the real power transmission value goes back to the power regulation dead zone of the unit from the time that the real power transmission value exceeds the power set value for the first time after the power set value is issued.
(71) And calculating the fluctuation times Count of the power regulation, namely calculating the times C of the real power transmission value in the regulation time T to the power regulation dead zone Pdb of the unit from the time when the real power transmission value exceeds the power set value for the first time after the power set value is transmitted.
Figure BDA0002525948560000091
Figure BDA0002525948560000092
Wherein Preal represents a power actual sending value, Pset represents a power set value, and Pdb represents a power regulation dead zone.
In fig. 6, (Pset > Preal & | Preal-Pset | ≦ Pdb) | (Pset < Preal & | Preal-Pset | ≦ Pdb) indicates that the real transmission value approaches the set value from above or below the set value, enters the set value dead zone, and performs a multi-oscillation adjustment process.
(72) Calculating the average fluctuation times of power regulation under different output control modes:
Figure BDA0002525948560000093
(73) calculating the fluctuation times Ofluc:
Figure BDA0002525948560000094
and 8, calculating the stability index of the output control mode.
Stability index of output control mode: o iss＝Ocoms*Otimes*Oflucs,s＝1,2,3；
Stability indexes of the three output control modes form a stability matrix:
Figure BDA0002525948560000095
and 9, calculating a dynamic optimization index.
Dynamic optimization index: m ═ I ═ O
Dynamically optimizing the index matrix:
Figure BDA0002525948560000096
the dynamic optimization index matrix calculates dynamic optimization indexes of all input measurement sources and output control modes, and selects the maximum index as the optimal input and output combination, namely:
Select＝Max(M)；
such as: select max (m) I2O3Then the power regulation selects the second input measurement source, the third output control mode.
And step 10, inputting and outputting a switching strategy.
The switching of the input and output modes adopts an optimal combination mode when the unit is switched from a halt state to a no-load state; the unit does not switch input and output modes in the normal running state and the power regulation process; however, if communication is interrupted, the measured value does not change for a long time, or the control is disconnected, the input/output system is immediately switched.
The invention also provides a hydroelectric generating set power regulation input and output optimization device, which comprises:
the calculation module is used for calculating a reliability matrix of the input measurement source and calculating a stability matrix of the output control mode;
the model building module is used for building a dynamic optimization matrix based on the reliability matrix of the input measurement source and the stability matrix of the output control mode;
and the number of the first and second groups,
and the output module is used for solving the dynamic optimization matrix and selecting the input and output mode corresponding to the largest element in the dynamic optimization matrix as the optimal input and output mode combination.
Further, the computing module is specifically configured to,
computing a reliability matrix of input measurement sources, comprising:
Figure BDA0002525948560000101
Ij＝Icomj*Iquaj,j＝1,2,3；
where I is the reliability matrix of the input measurement source, IjIndicating the reliability index, Icom, of the jth input measurement sourcejIndicating the channel state of the jth input measurement source, IQajRepresenting a figure of merit for the jth input measurement source;
the input measurement source includes: the system comprises an alternating current acquisition meter, a power transmitter and a power acquisition module;
calculating a stability matrix of an output control mode, comprising:
Figure BDA0002525948560000102
Os＝Ocoms*Otimes*Oflucs,s＝1,2,3；
where O is the stability matrix of the output control mode, OsIs a stability index of the s-th output control mode, OcomsIs the channel state of the s-th output control mode, OtimesFor adjusting time of the s-th output control mode, OflucsThe regulation fluctuation for the s-th output control mode;
the output control mode comprises the following steps: pulse regulation, communication regulation and mode ejection.
Further, the model building module is specifically configured to build a dynamic optimization matrix, including:
Figure BDA0002525948560000111
wherein M is a dynamic optimization matrix, I is a reliability matrix of an input measurement source, O is a stability matrix of an output control mode, IjRepresenting the reliability index, O, of the jth input measurement sourcesJ is 1,2,3, and s is 1,2,3, which are stability indicators of the s-th output control scheme.
It is to be noted that the apparatus embodiment corresponds to the method embodiment, and the implementation manners of the method embodiment are all applicable to the apparatus embodiment and can achieve the same or similar technical effects, so that the details are not described herein.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.

Claims (12)

1. A method for optimizing power regulation input and output of a hydroelectric generating set is characterized by comprising the following steps:
calculating a reliability matrix of an input measurement source and calculating a stability matrix of an output control mode;
constructing a dynamic optimization matrix based on the reliability matrix of the input measurement source and the stability matrix of the output control mode;
and solving the dynamic optimization matrix, and selecting the input and output mode corresponding to the largest element in the dynamic optimization matrix as the optimal input and output mode combination.
2. The method of claim 1, wherein the calculating a reliability matrix of the input measurement source comprises:
Figure FDA0002525948550000011
Ij＝Icomj*Iquaj,j＝1,2,3；
where I is the reliability matrix of the input measurement source, IjIndicating the reliability index, Icom, of the jth input measurement sourcejIndicating the channel state of the jth input measurement source, IQajRepresenting a figure of merit for the jth input measurement source;
the input measurement source includes: the device comprises a cross-production meter, a power transmitter and a power acquisition module.
3. The method for optimizing power regulation input and output of a hydroelectric generating set according to claim 2, wherein the channel state of the input measurement source is calculated as follows:
if the input measurement source is the input of the alternate acquisition table, if the communication is normal, the channel state value is 1; if the communication is interrupted, the channel state value is 0;
if the input measurement source is the input of the power transmitter, if the code value is not 0, the channel state value is 1; if the code value is 0, the channel state value is 0;
if the input measurement source is the input of the power acquisition module, if the code value is not 0, the channel state value is 1; if the code value is 0, the channel state value is 0.
4. The method according to claim 2, wherein the quality factor of the input measurement source is calculated as follows:
Figure FDA0002525948550000012
wherein N is the number of times of power regulation of the unit, and N is the number of times of unreliable quality in the number of times of power regulation of the unit;
defining that the value of the power code acquired by the power transmitter and the power acquisition module exceeds the range of [4000, 20000], and ensuring that the quality of the measuring point is unreliable; and if the power acquired by the alternative acquisition table is defined to exceed the rated power limit range, the quality of the measuring point is unreliable.
5. The method according to claim 1, wherein the calculating a stability matrix of the output control scheme comprises:
Figure FDA0002525948550000021
Os＝Ocoms*Otimes*Oflucs,s＝1,2,3；
where O is the stability matrix of the output control mode, OsIs a stability index of the s-th output control mode, OcomsIs the channel state of the s-th output control mode, OtimesFor adjusting time of the s-th output control mode, OflucsThe regulation fluctuation for the s-th output control mode;
the output control mode comprises the following steps: pulse regulation, communication regulation and mode ejection.
6. The method for optimizing the power regulation input and output of the hydroelectric generating set according to claim 5, wherein the channel state of the output control mode is calculated as follows:
if the output control mode is communication regulation, if the power set value is the same as the measured value of the power set value feedback value, the channel state value is 1; if the power set value is different from the measured value of the power set value feedback value, the channel state value is 0;
if the output control mode is pulse adjustment, if the pulse output signal is consistent with the pulse reverse correction signal, the channel state value is 1; if the pulse output signal is inconsistent with the pulse reverse correction signal, the channel state value is 0;
if the output control mode is a mode-out mode, if the power set value is the same as the power set inverse correction value code value, the channel state value is 1; if the power setting value is different from the power setting inverse correction code value, the channel state value is 0.
7. The method according to claim 5, wherein the adjustment time of the output control mode is calculated as follows:
Figure FDA0002525948550000022
m＝l*P，1≤l≤M；
P＝Pe/M；
wherein Ti is the ith power regulation time, AvrTm is the constant power average regulation time, l represents the multiplying power, PeM is a positive integer representing P for rated power of the uniteDividing into M equal parts;
ti is the time from the power regulation of the ith time to the time when the unit power falls into the power regulation dead zone Pdb after the power regulation of the unit receives the issued set value; AvrTm is the average time elapsed to complete the power-fixed adjustment of the l-magnification.
8. The method according to claim 5, wherein the regulation fluctuation of the output control mode is calculated as follows:
Figure FDA0002525948550000023
Figure FDA0002525948550000024
Figure FDA0002525948550000031
Figure FDA0002525948550000032
wherein, CountsThe number of single power regulation fluctuation is defined as the number of times that the real power value exceeds the power set value for the first time and the real power value within the regulation time T returns to the power regulation dead zone Pdb of the unit after the power set value is issued, Cs1 represents that the real power value is positioned in a unit power regulation dead zone, CsThe real power value is represented as 0, and the real power value is outside the unit power regulation dead zone; preal represents a power actual sending value, and Pset represents a power set value; AvrCn represents the average number of power regulation fluctuations in the three output control modes.
9. The method for optimizing the power regulation input and output of the hydroelectric generating set according to claim 1, wherein the constructing of the dynamic optimization matrix based on the reliability matrix of the input measurement source and the stability matrix of the output control mode comprises:
Figure FDA0002525948550000033
wherein M is a dynamic optimization matrix, I is a reliability matrix of an input measurement source, O is a stability matrix of an output control mode, IjRepresenting the reliability index, O, of the jth input measurement sourcesJ is 1,2,3, and s is 1,2,3, which are stability indicators of the s-th output control scheme.
10. The utility model provides a hydroelectric generating set power regulation input/output optimizing apparatus which characterized in that includes:
the calculation module is used for calculating a reliability matrix of the input measurement source and calculating a stability matrix of the output control mode;
the model building module is used for building a dynamic optimization matrix based on the reliability matrix of the input measurement source and the stability matrix of the output control mode;
and the number of the first and second groups,
and the output module is used for solving the dynamic optimization matrix and selecting the input and output mode corresponding to the largest element in the dynamic optimization matrix as the optimal input and output mode combination.
11. The hydroelectric generating set power regulation input-output optimization apparatus of claim 10, wherein the computing module is specifically configured to,
computing a reliability matrix of input measurement sources, comprising:
Figure FDA0002525948550000034
Ij＝Icomj*Iquaj,j＝1,2,3；
where I is the reliability matrix of the input measurement source, IjIndicating the reliability index, Icom, of the jth input measurement sourcejIndicating the channel state of the jth input measurement source, IQajRepresenting a figure of merit for the jth input measurement source;
the input measurement source includes: the system comprises an alternating current acquisition meter, a power transmitter and a power acquisition module;
calculating a stability matrix of an output control mode, comprising:
Figure FDA0002525948550000041
Os＝Ocoms*Otimes*Oflucs,s＝1,2,3；
where O is the stability matrix of the output control mode, OsIs a stability index of the s-th output control mode, OcomsIs the channel state of the s-th output control mode, OtimesFor adjusting time of the s-th output control mode, OflucsThe regulation fluctuation for the s-th output control mode;
the output control mode comprises the following steps: pulse regulation, communication regulation and mode ejection.
12. The hydroelectric generating set power regulation input-output optimization device of claim 10, wherein the model construction module is specifically configured to construct a dynamic optimization matrix, and comprises:
Figure FDA0002525948550000042
wherein M is a dynamic optimization matrix, I is a reliability matrix of an input measurement source, O is a stability matrix of an output control mode, IjRepresenting the reliability index, O, of the jth input measurement sourcesJ is 1,2,3, and s is 1,2,3, which are stability indicators of the s-th output control scheme.
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