CN110752674A - Electric power disaster monitoring and simulating system - Google Patents
Electric power disaster monitoring and simulating system Download PDFInfo
- Publication number
- CN110752674A CN110752674A CN201911091456.2A CN201911091456A CN110752674A CN 110752674 A CN110752674 A CN 110752674A CN 201911091456 A CN201911091456 A CN 201911091456A CN 110752674 A CN110752674 A CN 110752674A
- Authority
- CN
- China
- Prior art keywords
- power
- control
- data
- power grid
- monitoring
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 83
- 238000004088 simulation Methods 0.000 claims abstract description 70
- 238000012549 training Methods 0.000 claims abstract description 41
- 238000012545 processing Methods 0.000 claims abstract description 26
- 238000012806 monitoring device Methods 0.000 claims abstract description 9
- 238000010248 power generation Methods 0.000 claims description 29
- 238000000034 method Methods 0.000 claims description 28
- 238000004364 calculation method Methods 0.000 claims description 27
- 238000004458 analytical method Methods 0.000 claims description 21
- 230000008569 process Effects 0.000 claims description 17
- 230000000694 effects Effects 0.000 claims description 16
- 238000005259 measurement Methods 0.000 claims description 14
- 238000007726 management method Methods 0.000 claims description 13
- 230000005540 biological transmission Effects 0.000 claims description 12
- 238000005457 optimization Methods 0.000 claims description 11
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 10
- 230000035945 sensitivity Effects 0.000 claims description 9
- 230000011664 signaling Effects 0.000 claims description 9
- 238000004891 communication Methods 0.000 claims description 7
- 230000008859 change Effects 0.000 claims description 6
- 239000003245 coal Substances 0.000 claims description 6
- 238000006477 desulfuration reaction Methods 0.000 claims description 6
- 230000023556 desulfurization Effects 0.000 claims description 6
- 238000011156 evaluation Methods 0.000 claims description 6
- 238000003012 network analysis Methods 0.000 claims description 6
- 230000003068 static effect Effects 0.000 claims description 6
- 238000007619 statistical method Methods 0.000 claims description 6
- 238000005192 partition Methods 0.000 claims description 4
- 238000011160 research Methods 0.000 claims description 4
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 claims description 3
- 230000001174 ascending effect Effects 0.000 claims description 3
- 238000012937 correction Methods 0.000 claims description 3
- 230000005684 electric field Effects 0.000 claims description 3
- 239000003546 flue gas Substances 0.000 claims description 3
- 230000005283 ground state Effects 0.000 claims description 3
- 238000002347 injection Methods 0.000 claims description 3
- 239000007924 injection Substances 0.000 claims description 3
- 230000010354 integration Effects 0.000 claims description 3
- 239000000243 solution Substances 0.000 claims description 3
- 230000001052 transient effect Effects 0.000 claims description 3
- 230000007774 longterm Effects 0.000 claims 1
- 230000006870 function Effects 0.000 description 10
- 238000013480 data collection Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 101150018690 CPS2 gene Proteins 0.000 description 1
- 102100026422 Carbamoyl-phosphate synthase [ammonia], mitochondrial Human genes 0.000 description 1
- 101000855412 Homo sapiens Carbamoyl-phosphate synthase [ammonia], mitochondrial Proteins 0.000 description 1
- 101000983292 Homo sapiens N-fatty-acyl-amino acid synthase/hydrolase PM20D1 Proteins 0.000 description 1
- 101000861263 Homo sapiens Steroid 21-hydroxylase Proteins 0.000 description 1
- 101100020327 Salvia divinorum KPS gene Proteins 0.000 description 1
- 230000005856 abnormality Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 239000007789 gas Substances 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B23/00—Models for scientific, medical, or mathematical purposes, e.g. full-sized devices for demonstration purposes
- G09B23/06—Models for scientific, medical, or mathematical purposes, e.g. full-sized devices for demonstration purposes for physics
- G09B23/18—Models for scientific, medical, or mathematical purposes, e.g. full-sized devices for demonstration purposes for physics for electricity or magnetism
- G09B23/188—Models for scientific, medical, or mathematical purposes, e.g. full-sized devices for demonstration purposes for physics for electricity or magnetism for motors; for generators; for power supplies; for power distribution
Landscapes
- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Mathematical Analysis (AREA)
- Computational Mathematics (AREA)
- Algebra (AREA)
- Power Engineering (AREA)
- Mathematical Optimization (AREA)
- Mathematical Physics (AREA)
- Pure & Applied Mathematics (AREA)
- Business, Economics & Management (AREA)
- Educational Administration (AREA)
- Educational Technology (AREA)
- Theoretical Computer Science (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention discloses a power disaster monitoring and simulating system, which comprises: disaster monitoring device, electric wire netting controlling means, electric wire netting analytical equipment and dispatch analogue means. The simulation scheduling device has the function of large power grid multistage scheduling combined anti-accident exercise, greatly improves the capability of various levels of power grid scheduling operators for managing power grid operation and processing large power grid accidents in a coordinated manner, and well meets the requirements of extra-high voltage alternating current-direct current interconnected large power grid real-time disaster monitoring and training simulation.
Description
Technical Field
The invention relates to the field of disaster monitoring, in particular to an electric power disaster monitoring and simulating system.
Background
The electric power system is related to a plurality of systems of water supply, gas supply, traffic and communication, and is one of the most important components in a large-scale complex lifeline system. Accidents and losses in power systems due to natural disasters and failures are very disastrous. In recent years, failures of power systems caused by natural disasters have been increasing year by year. Natural disasters that can damage power systems include wind, earthquake, snow, extreme temperatures, and the like.
The research on disaster prevention of the power system is developed, and the improvement of the safety of the power system under natural disasters is an irreparable task and challenge. Particularly, on the basis of meeting the control and analysis functions, how to realize power disaster and monitoring and simulation demonstration is urgent.
Disclosure of Invention
In order to solve the defects and shortcomings in the prior art, the invention provides an electric power disaster monitoring and simulating system, which is characterized by comprising: the system comprises a disaster monitoring device, a power grid control device, a power grid analysis device and a scheduling simulation device; wherein.
The disaster monitoring device is used for monitoring disasters.
(1) Flood data collection, water affair calculation, hub operation and river basin monitoring. The flood data acquisition comprises telemetering data acquisition, flood reporting data acquisition and processing and data communication; the water affair calculation comprises real-time data processing, conventional data processing and water affair calculation processing; the operation of the junction is to carry out comprehensive monitoring on the hydro-junction; the river basin monitoring is based on bitmap and geographic information system GIS to monitor river basin or sub river basin interval.
(2) Receiving and storing lightning data, generating a lightning trend graph, generating a lightning activity alarm of the power grid equipment, inquiring the position of the line lightning fault, judging whether the line tripping property is caused by lightning, and generating a power grid lightning activity report and a lightning activity intensity distribution graph through statistical analysis.
(3) The unit monitoring comprises real-time monitoring of flue gas desulfurization of the coal-fired unit, on-line monitoring of coal consumption of the thermal power unit and on-line monitoring of thermal load of the thermoelectric unit. And performing online acquisition, transmission, processing, calculation and analysis on the thermal power and electric power data of a thermal power plant desulfurization system, a thermal power generating unit for supplying power and coal consumption, and a heat supply unit.
(4) Monitoring wind power and photovoltaic power generation related data, wherein wind power data monitoring is realized by acquiring meteorological elements in a wind electric field area range in real time, so that the wind power change condition of a wind power plant is monitored, and a data source is provided for output prediction of a wind turbine generator; the photovoltaic power generation data monitoring receives external meteorological data and analyzes the external meteorological data into solar panel voltage and battery voltage data, and a data source is provided for photovoltaic generator set output prediction.
(5) The method comprises the steps of meteorological monitoring and meteorological information access, wherein the meteorological monitoring is that various automatic meteorological observation, image monitoring and lightning monitoring facilities are arranged around an important transformer substation and a power transmission network frame, a meteorological information acquisition, transmission and storage center is established, and real-time monitoring is carried out based on geographic information and remote sensing images; weather information access is to obtain forecasts and real-time weather information from weather stations.
(6) And monitoring and managing the system operation condition in real time, wherein the monitoring objects comprise power grid operation data, a communication channel, a system network, the application subsystem operation condition and automatic system machine room operation environment monitoring, processing the data, and reporting the operation condition of the application subsystem to a worker in a short message mode.
The power grid control device comprises a power generation control module and a voltage control module.
The power generation control module enables power generation to automatically track load change by controlling active power of the generator set in the dispatching area, maintains system frequency as a rated value, maintains power exchange of a power grid connecting line, monitors reserve capacity, and achieves load frequency control, reserve capacity calculation, control area and unit performance assessment.
The power generation control module receives and processes real-time telemetering and remote signaling data, including system frequency, tie line exchange power, time difference, regional control deviation issued by upper-level scheduling, unit active power, unit regulation upper and lower limits, unit controlled state and unit ascending/descending power locking signals.
The running state of the power generation control module comprises an online state, an offline state and a pause state.
The control mode of the power generation control module comprises.
And (4) performing constant frequency control, namely maintaining the system frequency to be constant, wherein only frequency components are contained in the area control deviation calculation formula.
And determining the junctor exchange power control, and keeping the junctor exchange power constant, wherein at the moment, only the junctor exchange power component is contained in the regional control deviation calculation formula.
And controlling the system frequency and the junctor exchange power simultaneously by using the junctor and the frequency deviation, wherein the frequency component and the junctor exchange power component are simultaneously contained in the region control deviation calculation formula.
The power generation control module corrects clock errors generated by system frequency deviation and unintentional exchange electric quantity generated when net exchange power deviates from a planned value in the control process, and the time difference correction and the electric quantity compensation support two starting modes, namely manual or automatic.
The voltage control module is used for monitoring and automatically controlling the bus voltage of the power grid, the reactive power of the generator and the reactive power flow of the power grid; and analyzing and calculating by using real-time data of the power grid and a real-time mode provided by state estimation, carrying out online closed-loop control on the reactive power adjustable equipment, and carrying out reactive power optimization.
The reactive power optimization provides optimized set values of the central bus voltage and the reactive power of key connecting lines of each partition by taking the minimization of the network loss of the whole power grid as an optimization target on the premise of meeting the operation and safety constraints of the power grid, and simultaneously supports operation monitoring, control decision, coordination control, control execution and locking.
The voltage control module performs online optimization closed-loop control on reactive voltage equipment such as reactive power of a generator, an on-load tap changer, a switchable reactive power compensation device, a static reactive power compensation device and the like based on the collected real-time operation data of the power grid, and realizes a reactive voltage grading control mode.
The power grid analysis device is used for.
(1) And carrying out topology analysis on the network, determining a network wiring model, establishing a network bus model and an electric island model, and providing the network bus model and the electric island model for other applications and modules.
(2) According to the network wiring information, the network parameters, the redundant analog measurement value and the switching value state, the estimation values of the bus voltage amplitude and the phase angle are obtained, suspicious data are detected, bad data are identified, the accuracy of real-time measurement is checked, all branch power flows are calculated, and power grid power flow solutions are provided for the observable part and the unobservable part of the power system. And the state estimation generates complete real-time network state data and provides real-time operation mode data for other applications and modules.
(3) Analyzing the running state of the power grid in a real-time mode and various hypothetical modes, and calculating the state quantity of each bus and the active power and the reactive power of each branch of the network according to the given injection power and the bus voltage on the basis of a network topology model.
(4) Calculating the sensitivity of the active power of the set to the active power flow of the line, the active power of the set to the section flow, the reactive power of the set to the bus voltage and reactive compensation equipment switching to the bus voltage and the sensitivity of a transformer tap to the bus voltage by using the operation data and mode data of the power grid; and calculating the sensitivity and penalty factors of the network active loss to the unit active power, the regional exchange power, the tie line power and the like.
(5) The method comprises the steps of evaluating the influence on the safe operation of the power system when an element or an element combination in the power system fails, calculating the operation state of the system when the element exceeds the limit after the failure occurs, evaluating the safety level of the whole power grid, warning the failure threatening the safe operation of the power grid, and evaluating the influence of the failure on the safe operation of the system.
(6) And calculating the active power flow and the transmission capacity of the system connecting line, the outlet section of the large power plant, the important line or section under the real-time and future ground state or N-1 condition.
(7) And calculating the current of each branch circuit and the voltage of each bus after the fault according to the specified fault condition, and checking the breaking capacity of the switch.
(8) The method comprises the steps of combining network equivalence between upper and lower levels of scheduling, realizing online static equivalence of external networks of each lower level of scheduling by the upper level of scheduling, and supporting the access and processing of external network equivalence models by the lower level of scheduling.
(9) And performing dynamic operation evaluation on the operation of the power grid, and performing statistical analysis on the safe and economic operation level, plan execution and operation condition of a technical support system of the power grid by using the output result of the real-time monitoring and early warning application, thereby providing support for scheduling operation and analysis.
The dispatching simulation device comprises a power system simulation module, a teaching simulation module and a control simulation module; wherein.
The power system simulation module establishes a steady-state and dynamic model for the primary equipment of the power system to realize the simulation of the steady-state, the transient state and the medium-and-long-term dynamic state of the power system, and simultaneously models the secondary equipment of the power system, including a relay protection and a safety automatic device) and a data acquisition system.
The electric power system simulation module obtains a real-time mode from network analysis of a real-time state, or obtains a stored historical research mode through a basic platform to be used as an initial section of a training teaching plan; acquiring a power grid network model from unified model management provided by a platform, and supporting training based on an online model and a future model; and meanwhile, a power grid secondary equipment model is obtained from secondary equipment model management provided by the platform, and the data are subjected to initialized integration and processing to generate a training simulation operation initial environment.
The power system simulation comprises data acquisition simulation. The simulated remote measurement and remote signaling can be transmitted to a power grid real-time monitoring and intelligent alarm module in a simulated state, so that network analysis, real-time scheduling planning and power grid automatic control in the simulated state are supported; and the simulation remote control, remote regulation and automatic power grid control instructions can be received, and the effect and influence of various external control devices on the simulation state of the power system can be displayed.
The teaching simulation module is used for teaching plan making, training control and training evaluation in training. The teaching plan can be compiled, the training initial section adjustment making and management and the training event sequence making and management are included, the control operations of starting, pausing, continuing, backspacing, replaying and ending of the training process are supported, the training process information is recorded, corresponding report data is formed, and meanwhile, the training tasks are evaluated.
The control simulation module is used for establishing an application environment in the trainee training process and realizing the simulation of the control center. In this environment, the trainee can apply various analysis tools to monitor and control the power grid in a simulation state. The method comprises the following steps: the remote measurement and remote signaling of data acquisition simulation are used as input, remote control, remote regulation operation and control instructions are sent to the power system model, and real-time plan regulation means and effects are simulated.
The invention can collect and monitor various disasters and faults and carry out corresponding scheduling simulation, has the simulation scheduling device with the function of large power grid multi-stage scheduling combined anti-accident exercise, greatly improves the capability of scheduling and operating personnel of all stages of power grids to cooperatively manage power grid operation and process large power grid accidents, and well meets the requirements of real-time disaster monitoring and training simulation of the extra-high voltage alternating current-direct current interconnected large power grid.
Drawings
Fig. 1 is a block diagram of an electric power disaster monitoring and simulating system according to the present invention.
Detailed Description
As shown in fig. 1, the present invention provides a power disaster monitoring and simulation system, including: the system comprises a disaster monitoring device, a power grid control device, a power grid analysis device and a scheduling simulation device; wherein.
The disaster monitoring device is used for monitoring disasters.
(1) Flood data collection, water affair calculation, hub operation and river basin monitoring. The flood data acquisition comprises telemetering data acquisition, flood reporting data acquisition and processing and data communication; the water affair calculation comprises real-time data processing, conventional data processing and water affair calculation processing; the operation of the junction is to carry out comprehensive monitoring on the hydro-junction; the river basin monitoring is based on bitmap and geographic information system GIS to monitor river basin or sub river basin interval.
(2) Receiving and storing lightning data, generating a lightning trend graph, generating a lightning activity alarm of the power grid equipment, inquiring the position of the line lightning fault, judging whether the line tripping property is caused by lightning, and generating a power grid lightning activity report and a lightning activity intensity distribution graph through statistical analysis.
(3) The unit monitoring comprises real-time monitoring of flue gas desulfurization of the coal-fired unit, on-line monitoring of coal consumption of the thermal power unit and on-line monitoring of thermal load of the thermoelectric unit. And performing online acquisition, transmission, processing, calculation and analysis on the thermal power and electric power data of a thermal power plant desulfurization system, a thermal power generating unit for supplying power and coal consumption, and a heat supply unit.
(4) Monitoring wind power and photovoltaic power generation related data, wherein wind power data monitoring is realized by acquiring meteorological elements in a wind electric field area range in real time, so that the wind power change condition of a wind power plant is monitored, and a data source is provided for output prediction of a wind turbine generator; the photovoltaic power generation data monitoring receives external meteorological data and analyzes the external meteorological data into solar panel voltage and battery voltage data, and a data source is provided for photovoltaic generator set output prediction.
(5) The method comprises the steps of meteorological monitoring and meteorological information access, wherein the meteorological monitoring is that various automatic meteorological observation, image monitoring and lightning monitoring facilities are arranged around an important transformer substation and a power transmission network frame, a meteorological information acquisition, transmission and storage center is established, and real-time monitoring is carried out based on geographic information and remote sensing images; weather information access is to obtain forecasts and real-time weather information from weather stations.
(6) And monitoring and managing the system operation condition in real time, wherein the monitoring objects comprise power grid operation data, a communication channel, a system network, the application subsystem operation condition and automatic system machine room operation environment monitoring, processing the data, and reporting the operation condition of the application subsystem to a worker in a short message mode.
The power grid control device comprises a power generation control module and a voltage control module.
The power grid control in the dispatching application is to realize closed-loop regulation of a power grid by utilizing real-time information of the power grid and combining real-time dispatching plan information and real-time mode information to automatically regulate and control equipment, and mainly comprises power generation control and voltage control.
The power generation control module enables power generation to automatically track load change by controlling active power of the generator set in the dispatching area, maintains system frequency as a rated value, maintains power exchange of a power grid connecting line, monitors reserve capacity, and achieves load frequency control, reserve capacity calculation, control area and unit performance assessment.
The control and evaluation can be performed according to the Al and A2 standards and the CPS1 and CPS2 standards of the North American electric reliability Committee.
The power generation control module receives and processes real-time telemetering and remote signaling data, including system frequency, tie line exchange power, time difference, regional control deviation issued by upper-level scheduling, unit active power, unit regulation upper and lower limits, unit controlled state and unit ascending/descending power locking signals.
The running state of the power generation control module comprises an online state, an offline state and a pause state. The online state is that all functions are put into normal operation to carry out closed-loop control; the offline state does not issue control commands to the unit, but the functions of data processing, regional control deviation calculation, performance monitoring and the like are normally operated; when the pause state causes the calculation error of the regional control deviation due to the abnormality of some measurement data, the calculation is paused; the three states can be switched according to the measured data condition and the power grid state.
The control mode of the power generation control module comprises.
And (4) performing constant frequency control, namely maintaining the system frequency to be constant, wherein only frequency components are contained in the area control deviation calculation formula.
And determining the junctor exchange power control, and keeping the junctor exchange power constant, wherein at the moment, only the junctor exchange power component is contained in the regional control deviation calculation formula.
And controlling the system frequency and the junctor exchange power simultaneously by using the junctor and the frequency deviation, wherein the frequency component and the junctor exchange power component are simultaneously contained in the region control deviation calculation formula.
The power generation control module corrects clock errors generated by system frequency deviation and unintentional exchange electric quantity generated when net exchange power deviates from a planned value in the control process, and the time difference correction and the electric quantity compensation support two starting modes, namely manual or automatic.
The voltage control module is used for monitoring and automatically controlling the bus voltage of the power grid, the reactive power of the generator and the reactive power flow of the power grid; and analyzing and calculating by using real-time data of the power grid and a real-time mode provided by state estimation, carrying out online closed-loop control on the reactive power adjustable equipment, and carrying out reactive power optimization.
The reactive power optimization provides optimized set values of the central bus voltage and the reactive power of key connecting lines of each partition by taking the minimization of the network loss of the whole power grid as an optimization target on the premise of meeting the operation and safety constraints of the power grid, and simultaneously supports operation monitoring, control decision, coordination control, control execution and locking.
The function can coordinate the voltage control of each level of power grids such as national power grid, regional power grid, provincial power grid, ground power grid and the like, ensure the voltage safety and quality of the whole interconnected power grid, and realize the reactive layered partition balance. In addition, historical records and examination statistical information can be provided, so that users can conveniently inquire, analyze and evaluate the reactive voltage control effect, and meanwhile, the statistical information is also used as the basis for power grid reactive voltage management.
The voltage control module performs online optimization closed-loop control on reactive voltage equipment such as reactive power of a generator, an on-load tap changer, a switchable reactive power compensation device, a static reactive power compensation device and the like based on the collected real-time operation data of the power grid, and realizes a reactive voltage grading control mode.
The power grid analysis device is used for.
(1) And carrying out topology analysis on the network, determining a network wiring model, establishing a network bus model and an electric island model, and providing the network bus model and the electric island model for other applications and modules.
(2) According to the network wiring information, the network parameters, the redundant analog measurement value and the switching value state, the estimation values of the bus voltage amplitude and the phase angle are obtained, suspicious data are detected, bad data are identified, the accuracy of real-time measurement is checked, all branch power flows are calculated, and power grid power flow solutions are provided for the observable part and the unobservable part of the power system. And the state estimation generates complete real-time network state data and provides real-time operation mode data for other applications and modules.
(3) Analyzing the running state of the power grid in a real-time mode and various hypothetical modes, and calculating the state quantity (phase angle and amplitude of voltage) of each bus and the active power and reactive power of each branch of the network according to the given injection power and the bus voltage on the basis of a network topology model.
(4) Calculating the sensitivity of the active power of the set to the active power flow of the line, the active power of the set to the section flow, the reactive power of the set to the bus voltage and reactive compensation equipment switching to the bus voltage and the sensitivity of a transformer tap to the bus voltage by using the operation data and mode data of the power grid; and calculating the sensitivity and penalty factors of the network active loss to the unit active power, the regional exchange power, the tie line power and the like.
(5) The method comprises the steps of evaluating the influence on the safe operation of the power system when elements (including lines, transformers, generators, loads, buses and the like) or element combinations in the power system break down, calculating the operation state of the system when the elements are out of limit after the faults happen, evaluating the safety level of the whole power grid, warning the faults (such as line overload, voltage out of limit, generator power out of limit and the like) threatening the safe operation of the power grid, and evaluating the influence of the faults on the safe operation of the system.
(6) And calculating the active power flow and the transmission capacity of the system connecting line, the outlet section of the large power plant, the important line or section under the real-time and future ground state or N-1 condition.
(7) And calculating the current of each branch circuit and the voltage of each bus after the fault according to the specified fault conditions (including various short-circuit faults and disconnection faults) so as to check the breaking capacity of the switch.
(8) The method comprises the steps of combining network equivalence between upper and lower levels of scheduling, realizing online static equivalence of external networks of each lower level of scheduling by the upper level of scheduling, and supporting the access and processing of external network equivalence models by the lower level of scheduling.
(9) And performing dynamic operation evaluation on the operation of the power grid, and performing statistical analysis on the safe and economic operation level, plan execution and operation condition of a technical support system of the power grid by using the output result of the real-time monitoring and early warning application, thereby providing support for scheduling operation and analysis.
The dispatching simulation device comprises a power system simulation module, a teaching simulation module and a control simulation module; wherein.
The dispatching simulation device provides an operation simulation function under a normal state of the power grid, supports training and practicing under an accident state of the power grid, and supports joint anti-accident exercise.
The power system simulation module establishes a steady-state and dynamic model for the primary equipment of the power system to realize the simulation of the steady-state, the transient state and the medium-and-long-term dynamic state of the power system, and simultaneously models the secondary equipment of the power system, including a relay protection and a safety automatic device) and a data acquisition system.
The electric power system simulation module obtains a real-time mode from network analysis of a real-time state, or obtains a stored historical research mode through a basic platform to be used as an initial section of a training teaching plan; acquiring a power grid network model from unified model management provided by a platform, and supporting training based on an online model and a future model; and meanwhile, a power grid secondary equipment model is obtained from secondary equipment model management provided by the platform, and the data are subjected to initialized integration and processing to generate a training simulation operation initial environment.
The power system simulation comprises data acquisition simulation. The simulated remote measurement and remote signaling can be transmitted to a power grid real-time monitoring and intelligent alarm module in a simulated state, so that network analysis, real-time scheduling planning and power grid automatic control in the simulated state are supported; and the simulation remote control, remote regulation and automatic power grid control instructions can be received, and the effect and influence of various external control devices on the simulation state of the power system can be displayed.
The teaching simulation module is used for teaching plan making, training control and training evaluation in training. The teaching plan can be compiled, the training initial section adjustment making and management and the training event sequence making and management are included, the control operations of starting, pausing, continuing, backspacing, replaying and ending of the training process are supported, the training process information is recorded, corresponding report data is formed, and meanwhile, the training tasks are evaluated.
The control simulation module is used for establishing an application environment in the trainee training process and realizing the simulation of the control center. In this environment, the trainee can apply various analysis tools to monitor and control the power grid in a simulation state. The method comprises the following steps: the remote measurement and remote signaling of data acquisition simulation are used as input, remote control, remote regulation operation and control instructions are sent to the power system model, and real-time plan regulation means and effects are simulated.
The dispatching simulation device with the function of combining multistage dispatching and anti-accident maneuver of the large power grid greatly improves the capability of dispatching and operating personnel of each stage of power grid for cooperatively managing power grid operation and handling large power grid accidents, and well meets the requirements of real-time disaster monitoring and training simulation of the extra-high voltage alternating current-direct current interconnected large power grid.
The disaster monitoring device, the power grid control device, the power grid analysis device and the scheduling simulation device can all realize subsystem functions through corresponding modules, the disaster monitoring device, the power grid control device, the power grid analysis device and the scheduling simulation device and all modules are connected through logic or electricity, and the specific functions of all modules can be realized by a physical processor executing program codes stored in a memory.
The invention can collect and monitor various disasters and faults and carry out corresponding scheduling simulation, has the simulation scheduling device with the function of large power grid multi-stage scheduling combined anti-accident exercise, greatly improves the capability of scheduling and operating personnel of all stages of power grids to cooperatively manage power grid operation and process large power grid accidents, and well meets the requirements of real-time disaster monitoring and training simulation of the extra-high voltage alternating current-direct current interconnected large power grid.
The above description is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, several modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the protection scope of the present invention.
Claims (1)
1. A power grid monitoring and management system, comprising: the system comprises a disaster monitoring device, a power grid control device, a power grid analysis device and a scheduling simulation device; wherein,
the disaster monitoring device is used for:
(1) flood data acquisition, water affair calculation, hub operation and basin monitoring; the flood data acquisition comprises telemetering data acquisition, flood reporting data acquisition and processing and data communication; the water affair calculation comprises real-time data processing, conventional data processing and water affair calculation processing; the operation of the junction is to carry out comprehensive monitoring on the hydro-junction; the river basin monitoring is to monitor river basin or sub-river basin intervals based on a bitmap and a Geographic Information System (GIS);
(2) receiving and storing lightning data, generating a lightning trend graph, generating a lightning activity alarm of the power grid equipment, inquiring the position of a line lightning fault, judging whether the line tripping property is caused by lightning, and generating a power grid lightning activity report and a lightning activity intensity distribution graph through statistical analysis;
(3) the unit monitoring comprises real-time monitoring of flue gas desulfurization of a coal-fired unit, on-line monitoring of coal consumption of a thermal power unit and on-line monitoring of thermal load of a thermoelectric unit; performing on-line acquisition, transmission, processing, calculation and analysis on thermal power and electric power data of a thermal power plant desulfurization system, a thermal power generating unit for supplying power and coal consumption, and a heat supply unit;
(4) monitoring wind power and photovoltaic power generation related data, wherein wind power data monitoring is realized by acquiring meteorological elements in a wind electric field area range in real time, so that the wind power change condition of a wind power plant is monitored, and a data source is provided for output prediction of a wind turbine generator; monitoring and receiving external meteorological data by the photovoltaic power generation data, analyzing the external meteorological data into solar panel voltage and battery voltage data, and providing a data source for predicting the output of the photovoltaic power generation unit;
(5) the method comprises the steps of meteorological monitoring and meteorological information access, wherein the meteorological monitoring is that various automatic meteorological observation, image monitoring and lightning monitoring facilities are arranged around an important transformer substation and a power transmission network frame, a meteorological information acquisition, transmission and storage center is established, and real-time monitoring is carried out based on geographic information and remote sensing images; weather information access is to obtain forecast and real-time weather information from weather stations;
(6) monitoring and managing the system operation condition in real time, wherein the monitoring objects comprise power grid operation data, a communication channel, a system network, an application subsystem operation condition and automatic system machine room operation environment monitoring, processing the data, and reporting the operation condition of the application subsystem to a worker in a short message mode;
the power grid control device comprises a power generation control module and a voltage control module;
the power generation control module enables power generation to automatically track load change by controlling active power of a generator set in a dispatching area, maintains system frequency as a rated value, maintains power exchange of a power grid connecting line, monitors reserve capacity, and realizes load frequency control, reserve capacity calculation, control area and unit performance assessment;
the power generation control module receives and processes real-time remote measurement and remote signaling data, including system frequency, tie line exchange power, time difference, regional control deviation issued by upper-level scheduling, unit active power, unit regulation upper and lower limits, unit controlled state and unit ascending/descending power locking signals;
the running state of the power generation control module comprises an online state, an offline state and a pause state;
the control modes of the power generation control module comprise:
constant frequency control, namely maintaining the system frequency constant, wherein at the moment, the regional control deviation calculation formula only contains frequency components;
determining the exchange power control of the junctor, maintaining the exchange power of the junctor constant, and at the moment, only including the exchange power component of the junctor in the regional control deviation calculation formula;
controlling the system frequency and the junctor exchange power simultaneously by using the junctor and the frequency deviation, wherein at the moment, the regional control deviation calculation formula simultaneously comprises a frequency component and a junctor exchange power component;
the power generation control module corrects clock errors generated by system frequency deviation and unintentional exchange electric quantity generated when net exchange power deviates from a planned value in a control process, and time difference correction and electric quantity compensation support two starting modes, namely manual or automatic;
the voltage control module is used for monitoring and automatically controlling the bus voltage of the power grid, the reactive power of the generator and the reactive power flow of the power grid; analyzing and calculating by using real-time data of the power grid and a real-time mode provided by state estimation, carrying out online closed-loop control on the reactive power adjustable and controllable equipment, and carrying out reactive power optimization;
on the premise of meeting the operation and safety constraints of the power grid, the reactive power optimization takes the minimization of the network loss of the whole power grid as an optimization target, provides the optimized set values of the voltage of the central bus of each partition and the reactive power of the key connecting lines, and simultaneously supports operation monitoring, control decision, coordination control, control execution and locking;
the voltage control module performs online optimized closed-loop control on reactive voltage equipment such as reactive power of a generator, an on-load tap changer, a switchable reactive power compensation device, a static reactive power compensation device and the like based on the acquired real-time operation data of the power grid, so that a reactive voltage grading control mode is realized;
the power grid analysis device is used for:
(1) carrying out topology analysis on the network, determining a network wiring model, establishing a network bus model and an electric island model, and providing the network bus model and the electric island model for other applications and modules;
(2) according to the network wiring information, the network parameters, the redundant analog measurement value and the switching value state, the estimation values of the bus voltage amplitude and the phase angle are obtained, suspicious data are detected, bad data are identified, the accuracy of real-time measurement is checked, all branch power flows are calculated, and a power grid power flow solution is provided for an observable part and an unobservable part of a power system; the state estimation generates complete real-time network state data, and provides real-time operation mode data for other applications and modules;
(3) analyzing the running state of the power grid in a real-time mode and various hypothetical modes, and calculating the state quantity of each bus and the active power and the reactive power of each branch of the network according to the given injection power and the bus voltage on the basis of a network topology model;
(4) calculating the sensitivity of the active power of the set to the active power flow of the line, the active power of the set to the section flow, the reactive power of the set to the bus voltage and reactive compensation equipment switching to the bus voltage and the sensitivity of a transformer tap to the bus voltage by using the operation data and mode data of the power grid; calculating sensitivity and penalty factors of network active loss to unit active power, regional exchange power, tie line power and the like;
(5) evaluating the influence on the safe operation of the power system when an element or an element combination in the power system fails, calculating the operation state of the system when the element exceeds the limit after the failure occurs, evaluating the safety level of the whole power grid, warning the failure threatening the safe operation of the power grid, and evaluating the influence of the failure on the safe operation of the system;
(6) calculating the active power flow and the transmission capacity of a system connecting line, a large power plant outgoing line section, an important line or section under real-time and future ground states or N-1 conditions;
(7) calculating the current of each branch circuit and the voltage of each bus after the fault according to the specified fault condition, and checking the breaking capacity of the switch;
(8) joint network equivalence between upper and lower levels of scheduling, the upper level of scheduling realizes online static equivalence of external networks of each lower level of scheduling, and the lower level of scheduling supports access and processing of external network equivalence models;
(9) the method comprises the following steps of evaluating the dynamic operation of the power grid operation, and carrying out statistical analysis on the safe and economic operation level, plan execution and operation condition of a technical support system of the power grid by utilizing the output result of real-time monitoring and early warning application to provide support for scheduling operation and analysis;
the dispatching simulation device comprises a power system simulation module, a teaching simulation module and a control simulation module; wherein,
the power system simulation module establishes a steady-state and dynamic model for the primary equipment of the power system to realize the simulation of the steady state, the transient state and the medium and long term dynamic state of the power system, and simultaneously models the secondary equipment of the power system, including a relay protection and safety automatic device and a data acquisition system;
the electric power system simulation module obtains a real-time mode from network analysis of a real-time state, or obtains a stored historical research mode through a basic platform to be used as an initial section of a training teaching plan; acquiring a power grid network model from unified model management provided by a platform, and supporting training based on an online model and a future model; meanwhile, a power grid secondary equipment model is obtained from secondary equipment model management provided by a platform, and the data are subjected to initialized integration and processing to generate a training simulation operation initial environment;
the simulation of the power system comprises data acquisition simulation; the simulated remote measurement and remote signaling can be transmitted to a power grid real-time monitoring and intelligent alarm module in a simulated state, so that network analysis, real-time scheduling planning and power grid automatic control in the simulated state are supported; the simulation remote control, remote regulation and automatic power grid control instructions can be received, and the effect and influence of various external control devices on the simulation state of the power system can be displayed;
the teaching simulation module is used for teaching plan making, training control and training evaluation in training; the teaching plan can be compiled, the teaching plan comprises adjustment and management of the training initial section and the training event sequence, the control operations of starting, pausing, continuing, backspacing, replaying and ending of the training process are supported, the information of the training process is recorded, corresponding report data is formed, and meanwhile, the training task is evaluated;
the control simulation module is used for establishing an application environment in the trainee training process to realize the simulation of the control center; in this environment, the trainee can apply various analysis tools to monitor and control the power grid in a simulation state; the method comprises the following steps: the remote measurement and remote signaling of data acquisition simulation are used as input, remote control, remote regulation operation and control instructions are sent to the power system model, and real-time plan regulation means and effects are simulated.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911091456.2A CN110752674B (en) | 2019-11-10 | 2019-11-10 | Electric power disaster monitoring and simulating system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911091456.2A CN110752674B (en) | 2019-11-10 | 2019-11-10 | Electric power disaster monitoring and simulating system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110752674A true CN110752674A (en) | 2020-02-04 |
| CN110752674B CN110752674B (en) | 2022-12-09 |
Family
ID=69282788
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911091456.2A Active CN110752674B (en) | 2019-11-10 | 2019-11-10 | Electric power disaster monitoring and simulating system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110752674B (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111523079A (en) * | 2020-04-29 | 2020-08-11 | 广西电网有限责任公司河池宜州供电局 | Method for improving and self-checking load report of dispatching automation system |
| CN112670980A (en) * | 2020-12-14 | 2021-04-16 | 江苏新智合电力技术有限公司 | Independent microgrid energy storage margin detection method |
| CN113035001A (en) * | 2021-03-11 | 2021-06-25 | 国网河北省电力有限公司培训中心 | Multifunctional complementary communication power supply simulation training system and implementation method thereof |
| CN114049807A (en) * | 2021-09-28 | 2022-02-15 | 浙江浙石油综合能源销售有限公司 | Disaster emergency simulation training system and method for energy supply station |
| CN114363926A (en) * | 2021-12-17 | 2022-04-15 | 国家电网有限公司 | Wireless communication test system and method for power distribution and utilization of power grid, wireless access terminal and application |
| CN118137549A (en) * | 2024-05-07 | 2024-06-04 | 东莞市锂智慧能源有限公司 | Photovoltaic energy storage control method based on intelligent learning technology |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005218267A (en) * | 2004-02-02 | 2005-08-11 | Mitsubishi Electric Corp | Equipment management system for disaster prevention facilities |
| CN101944766A (en) * | 2010-06-01 | 2011-01-12 | 中国电力科学研究院 | Operation and safety monitoring simulation system for power system |
| CN108805441A (en) * | 2018-06-06 | 2018-11-13 | 广西桂冠电力股份有限公司 | power emergency command system |
| CN110415558A (en) * | 2019-09-08 | 2019-11-05 | 李瑶 | A kind of parking lot management and service system |
-
2019
- 2019-11-10 CN CN201911091456.2A patent/CN110752674B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005218267A (en) * | 2004-02-02 | 2005-08-11 | Mitsubishi Electric Corp | Equipment management system for disaster prevention facilities |
| CN101944766A (en) * | 2010-06-01 | 2011-01-12 | 中国电力科学研究院 | Operation and safety monitoring simulation system for power system |
| CN108805441A (en) * | 2018-06-06 | 2018-11-13 | 广西桂冠电力股份有限公司 | power emergency command system |
| CN110415558A (en) * | 2019-09-08 | 2019-11-05 | 李瑶 | A kind of parking lot management and service system |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111523079A (en) * | 2020-04-29 | 2020-08-11 | 广西电网有限责任公司河池宜州供电局 | Method for improving and self-checking load report of dispatching automation system |
| CN112670980A (en) * | 2020-12-14 | 2021-04-16 | 江苏新智合电力技术有限公司 | Independent microgrid energy storage margin detection method |
| CN113035001A (en) * | 2021-03-11 | 2021-06-25 | 国网河北省电力有限公司培训中心 | Multifunctional complementary communication power supply simulation training system and implementation method thereof |
| CN114049807A (en) * | 2021-09-28 | 2022-02-15 | 浙江浙石油综合能源销售有限公司 | Disaster emergency simulation training system and method for energy supply station |
| CN114363926A (en) * | 2021-12-17 | 2022-04-15 | 国家电网有限公司 | Wireless communication test system and method for power distribution and utilization of power grid, wireless access terminal and application |
| CN114363926B (en) * | 2021-12-17 | 2024-04-05 | 国家电网有限公司 | Power grid distribution and utilization wireless communication test system and method, wireless access terminal and application |
| CN118137549A (en) * | 2024-05-07 | 2024-06-04 | 东莞市锂智慧能源有限公司 | Photovoltaic energy storage control method based on intelligent learning technology |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110752674B (en) | 2022-12-09 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110752674B (en) | Electric power disaster monitoring and simulating system | |
| CN102237720B (en) | Analysis, early warning and control method for power grid security | |
| Liu et al. | The healing touch: Tools and challenges for smart grid restoration | |
| EP3301774A1 (en) | Dynamic dispatcher training simulator | |
| CN103488835A (en) | Simulation platform and method for dispatching automation system | |
| CN102663530A (en) | Safety early warning and evaluating system for high-voltage direct current transmission system | |
| CN102436226A (en) | Online monitoring and condition maintenance management system | |
| Jiang et al. | A vision of smart transmission grids | |
| EP2381094B1 (en) | Energy network and control thereof | |
| CN104539051A (en) | Online evaluation system of secondary equipment of intelligent substation | |
| WO2020171814A1 (en) | Event selection for power grid disturbance | |
| CN103424670A (en) | Lightning stroke automatic diagnosis system for trip accident of power transmission line | |
| Stanton et al. | Energy management | |
| Baranovic et al. | Experiences from intelligent alarm processing and decision support tools in smart grid transmission control centers | |
| Fardanesh et al. | A digital transformation at New York power authority: Using innovative technologies to create a more efficient power system | |
| CN106093636A (en) | The analog quantity check method of the secondary device of intelligent grid and device | |
| CN110635572B (en) | Power grid monitoring and management system | |
| Chaves et al. | Development of an Automated Distribution Grid With the Application of New Technologies | |
| Liu | Short-term operational reliability evaluation for power systems under extreme weather conditions | |
| Sass et al. | Control center implementation of advanced optimization and decision support applications | |
| CN109768619A (en) | Monitoring information automatic debugging system and adjustment method | |
| CN204721302U (en) | A kind of photovoltaic plant intelligent controller | |
| Brosinsky et al. | HVAC/HVDC Control Center-Test and Demonstrator System | |
| CN111029914B (en) | Active first-aid repair system based on ubiquitous Internet of things construction | |
| Cao et al. | Intelligent condition monitoring and management for power transmission and distribution equipments in Yunnan Power Grid |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20221117 Address after: 538000 No. 60 golden flower tea Avenue, port area, Fangchenggang, the Guangxi Zhuang Autonomous Region Applicant after: Fangchenggang Power Supply Bureau of Guangxi Power Grid Co.,Ltd. Address before: Sunshine Garden, 70 Huitang Road, Changle District, Fuzhou City, Fujian Province Applicant before: Li Yao |
|
| TA01 | Transfer of patent application right | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |