CN111275578A - Dispatching automation system - Google Patents
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
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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
- 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
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- 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
Abstract
The invention provides a dispatching automation system, which comprises a hardware part and a software part, wherein the hardware part comprises a workstation, the workstation comprises a processor, the processor is used for executing the software part, the software part comprises a supporting platform and a high-level application module, and the supporting platform is used for realizing data acquisition, processing, control and regulation; the advanced application module is used for realizing energy management and load management. The scheduling automation system can solve the problem of 'blind scheduling' of clean energy, provides accurate power generation information for adjustment of the power supply running state in the clean energy scheduling operation and risk mode, ensures normal power supply of important loads, and provides guarantee for economic and safe operation of regional power grids.
Description
Technical Field
The invention relates to the technical field of power grid dispatching, in particular to a dispatching automation system.
Background
Clean energy resources are rich in partial areas of China, partial clean energy power stations are connected to the grid through T-junction circuits, automation conditions in the stations are poor, monitoring means are lacked, the stations are in a blind-tuning state, the operation state of the stations is difficult to master in real time through power grid scheduling, the stations cannot participate in self-healing control, and the damage to the operation stability of the power grid is aggravated to a certain extent due to disordered disconnection of the stations.
Disclosure of Invention
The invention aims to provide a dispatching automation system to solve the problems that the existing part of clean energy power stations are poor in automation condition and lack of monitoring means.
The technical scheme provided by the invention is as follows:
a dispatch automation system comprising a hardware portion and a software portion, the hardware portion comprising a workstation comprising a processor for executing the software portion, the software portion comprising a support platform for implementing data acquisition, processing, control and regulation and a high-level application module; the advanced application module is used for realizing energy management and load management.
Furthermore, the support platform comprises a data management module, a graph-model library integration module, an accident recording module, an event and alarm processing module, a historical data processing module, a report management module, a trend recording module, a man-machine connection module and a system clock module.
Further, the advanced application module comprises a clean energy monitoring module, a load management module, a load prediction module, an electricity utilization planning module, a statistical analysis and evaluation module, an energy coordination control module and a system interaction module.
Furthermore, the clean energy monitoring module comprises an equipment running state monitoring submodule, a power generation state monitoring submodule, a maintenance state management submodule and a power supply management submodule,
the equipment running state monitoring submodule is used for monitoring the running state of electric equipment, and the electric equipment at least comprises a photovoltaic power station, a photovoltaic inverter and a combiner box;
the power generation state monitoring submodule is used for monitoring the power generation state of the small hydropower station;
the maintenance state management submodule is used for managing the maintenance state of the clean energy power generation equipment;
and the power supply management submodule is used for setting parameters of a master power supply and a slave power supply.
Furthermore, the equipment running state monitoring submodule monitors the running state of the power equipment, and comprises grid-connected state monitoring, real-time data monitoring, power quality monitoring, environmental parameter monitoring and safety event monitoring.
Further, the load management module comprises a hierarchical scheduling submodule and a strategy generation submodule,
the hierarchical scheduling submodule is used for classifying the adjustable load of the micro-grid and performing hierarchical scheduling on the adjustable load according to monitoring feedback factors;
and the strategy generation submodule is used for automatically generating a global optimization load management strategy according to the adjustable characteristics, the spatial distribution and the load prediction result of the load of the microgrid.
Furthermore, the statistical analysis and evaluation module is used for realizing resource analysis, energy exchange analysis, energy consumption and benefit analysis, reliability analysis and power quality analysis.
Further, the energy coordination control module is used for generating and executing corresponding operation control strategies in different operation modes, wherein the operation modes comprise off-grid operation and grid-connected operation, and the control strategies at least comprise a sequence control strategy and a power control strategy.
Further, the power utilization plan module is used for setting an energy storage charging and discharging plan and a load power utilization plan of each clean energy source based on power grid operation factors, and the power utilization plans comprise a day-ahead power utilization plan and a day-in power utilization plan.
Further, the system interaction module is used for connecting an external metering system to perform information interaction.
Compared with the prior art, the invention has the beneficial effects that:
the dispatching automation system provided by the invention adopts the workstation as an operation carrier of the software part, is easy to deploy, the software part comprises a support platform and a high-level application module, wherein the high-level application module is used for realizing energy management and load management, the system can solve the problem of blind regulation of clean energy, provides accurate power generation information for the regulation of the power supply operation state under the clean energy dispatching operation and risk mode, ensures the normal power supply of important loads and provides guarantee for the economic and safe operation of regional power grids.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is apparent that the drawings in the following description are only preferred embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained based on these drawings without inventive efforts.
Fig. 1 is a schematic diagram of an overall structure of a scheduling automation system according to an embodiment of the present invention.
Fig. 2 is a schematic view of an overall structure of a support platform according to an embodiment of the present invention.
Fig. 3 is a schematic diagram of an overall structure of an advanced application module according to an embodiment of the present invention.
Fig. 4 is a schematic diagram of an overall structure of a clean energy monitoring module according to an embodiment of the present invention.
In the figure, 1 is a workstation, 2 is a processor, 3 is a support platform, 4 is a high-level application module, 31 is a data management module, 32 is a graph-model-library integration module, 33 is an accident recording module, 34 is an event and alarm processing module, 35 is a historical data processing module, 36 is a report management module, 37 is a trend recording module, 38 is a man-machine contact module, 39 is a system clock module, 41 is a clean energy monitoring module, 42 is a load management module, 43 is a load prediction module, 44 is an electricity utilization planning module, 45 is a statistical analysis and evaluation module, 46 is an energy coordination control module, 47 is a system interaction module, 411 is an equipment operation state monitoring submodule, 412 is a power generation state monitoring submodule, 413 is a maintenance state management submodule, and 414 is a power supply management submodule.
Detailed Description
The principles and features of this invention are described below in conjunction with the following drawings, the illustrated embodiments are provided to illustrate the invention and not to limit the scope of the invention.
Fig. 1 is a schematic diagram of an overall structure of a scheduling automation system according to an embodiment of the present invention. Wherein the workstation is a computer device or a server device.
As shown in fig. 1, the scheduling automation system provided by this embodiment includes a software portion and a hardware portion, where the hardware portion includes a workstation 1, the workstation 1 is provided with a processor 2, and the processor 2 is configured to execute the software portion of the system. The software portion includes a support platform 3 and high-level application modules 4.
Wherein, the supporting platform 3 is used for realizing data acquisition, processing, control and regulation.
Fig. 2 is a schematic view of the overall structure of the support platform provided in this embodiment. As shown in fig. 2, the supporting platform 3 includes a data management module 31, a graph-model-library integration module 32, an accident recording module 33, an event and alarm processing module 34, a historical data processing module 35, a report management module 36, a trend recording module 37, a human-machine contact module 38, and a system clock module 39.
The data management module 31 is configured to perform data management, and is capable of effectively receiving and transmitting collected data, acquiring the data to a support platform or transmitting the data to a higher-level module, and finally displaying the data through a human-computer interface so as to perform manual analysis. The graph-model-library integration module 32 is used for imaging and visualizing data, so that the data can be more conveniently and visually operated. The accident recording module 33 is used for recording frequent accident points and improving the accuracy of targeted prevention and treatment. The event and alarm processing module 34 is configured to monitor abnormal data collected by each sensor disposed in the power station, and alarm when the abnormal data is monitored. The historical data processing module 35 is configured to record historical monitoring data. The report management module 36 is configured to perform centralized visual management on the data in a report form. The trend recording module 37 is used for recording data change trend in the form of a walking graph. The man-machine contact module 38 is used for realizing connection between the support platform and devices such as a display screen and a broadcast. The system clock module 39 is used to record a system reference time. The data are common data of the power consumption electric network system.
The advanced application module 4 is used for realizing energy management and load management.
Fig. 3 is a schematic diagram of an overall structure of the advanced application module provided in this embodiment, and as shown in fig. 3, the advanced application module 4 includes a clean energy monitoring module 41, a load management module 42, a load prediction module 43, an electricity utilization planning module 44, a statistical analysis and evaluation module 45, an energy coordination control module 46, and a system interaction module 47.
In some embodiments, the clean energy monitoring module 41 includes an equipment operation status monitoring submodule 411, a power generation status monitoring submodule 412, a service status management submodule 413 and a power management submodule 414, as shown in fig. 4.
The device operating state monitoring submodule 411 is configured to monitor an operating state of an electrical device, where the electrical device at least includes a photovoltaic power station, a photovoltaic inverter, and a combiner box.
The power generation state monitoring submodule 412 is used for monitoring the power generation state of the small hydropower station.
The overhaul state management submodule 413 is configured to manage an overhaul state of the clean energy power generation device, where the clean energy power generation device may be a small hydropower station power generation device, a photovoltaic power generation device, or another clean energy power generation device.
The power management submodule 414 is configured to set master-slave power parameters.
Optionally, the device operating state monitoring submodule 411 monitors an operating state of the electrical device, where the monitoring specifically includes grid-connected state monitoring, real-time data monitoring, power quality monitoring, environmental parameter monitoring, and safety event monitoring.
The load management module 42 includes a hierarchical scheduling sub-module and a policy generation sub-module.
The hierarchical scheduling submodule is used for classifying the adjustable loads of the micro-grid and performing hierarchical scheduling on the adjustable loads according to monitoring feedback factors, and the monitoring feedback factors comprise response speed, action time and other factors.
And the strategy generation submodule is used for automatically generating a global optimization load management strategy according to the adjustable characteristics, the spatial distribution and the load prediction result of the load of the microgrid.
The load prediction module 43 is configured to provide short-term load predictions including a day-ahead load prediction for predicting load conditions for 1-7 days and a real-time load prediction for predicting load conditions for the next two hours.
The power utilization plan module 44 is configured to set an energy storage charging and discharging plan and a load power utilization plan of various clean energy sources based on power grid operation factors, where the power utilization plan includes a day-ahead power utilization plan and a day-inside power utilization plan, and the power grid operation factors are one or more of a remote scheduling plan, power generation load prediction data, micro-grid real-time operation data, power supply and load characteristics, and operation constraint conditions.
The statistical analysis and evaluation module 45 is used for implementing resource analysis, energy exchange analysis, energy consumption and benefit analysis, reliability analysis and power quality analysis.
In some embodiments, taking photovoltaic power generation as an example for data mining and statistical analysis, the statistical analysis and evaluation module 45 may implement: the method comprises the steps of all-region power generation and utilization electric power quantity statistics, all-region power generation power statistics, all-region loss electric quantity statistics, inverter power generation quantity statistics, inverter loss electric quantity statistics, inverter power and boost power conversion statistics, inverter equipment operation state statistics and event alarm information statistics. Wherein the operation state comprises normal operation events, fault time and the like; the statistics of the event alarm information includes statistics of times, frequency, duration and the like of the event alarm information.
The energy coordination control module 46 is configured to generate and execute corresponding operation control strategies in different operation modes of the power station, where the operation modes include off-grid operation and grid-connected operation, and the control strategies at least include a sequence control strategy and a power control strategy.
Under the grid-connected operation mode, a power grid serves as a networking power supply, all power generation units adopt a P/Q control mode, and corresponding power control operation is carried out under the condition that different objective functions are met by combining load prediction and power generation prediction results.
In some embodiments, the objective function includes, but is not limited to, maximum consumption of clean energy, minimum loss of the microgrid, and stable operation of the microgrid. The corresponding power control operation is carried out under the condition of meeting different target function conditions, namely under the condition of meeting constraint conditions such as power flow constraint, node voltage constraint and the like, the regulation target tends to be optimal in a target function by controlling the reactive power compensation device, the clean energy output and the like.
Under the off-grid operation mode, all the power generation units except the networking power supply adopt a P/Q control mode, and when the grid frequency and voltage fluctuation are small, the networking power supply is used for dynamically stabilizing; when the system frequency and voltage fluctuation is large, a group of energy storage units and super capacitors which adopt a P/Q control mode are used for dynamic stabilization. Combining the load prediction and the power generation prediction results, and performing the operation of a cutting machine when the frequency and the voltage of the system are too high and cannot be stabilized; and when the frequency and the voltage of the system are too low and cannot be stabilized, carrying out load shedding operation or carrying out grid-connected operation on the interconnected system and the power grid.
The sequence control strategy is used for controlling the equipment action in the microgrid according to a preset sequence and flow, and realizing grid-connected starting, grid-connected stopping, off-grid starting, off-grid stopping and the like.
The power control strategy is to perform real-time power control on a distributed power supply, stored energy, load and the like in the microgrid according to a power optimization control instruction or an artificial set value of the microgrid energy management system to ensure safe and stable operation of the microgrid.
The system interaction module 47 is used for connecting with an external metering system to perform information interaction, so as to obtain power grid operation data required by the system, such as clean energy power generation power, grid connection state and the like.
In some embodiments, when the system interaction module 47 performs information interaction with an external metering system, the information to be sent is sent after performing a preset operation, where the preset operation performed on the information to be sent may be to encrypt the information to be sent, add characters to the information to be sent, or perform other operations on the information to be sent.
The dispatching automation system provided by the invention can solve the problem of blind dispatching of clean energy in terms of economic benefits, and provides accurate power generation information for the regulation of the power grid running state in the clean energy dispatching running and risk modes; normal power supply of important loads is ensured during isolated network operation, and economic loss is reduced; the rapid fault recovery and isolated grid connection control are realized, and the guarantee is provided for the economic and safe operation of the regional power grid. From the social benefit, reasonable isolated network operation can be realized under the condition of extreme natural disasters, important loads in a region are guaranteed not to lose power, recovery control of fault conditions is realized, the stability of the regional power grid under the condition of encountering natural disasters is improved, clean energy is effectively utilized for power generation, the important loads are guaranteed to be supplied with power, the emergency disaster-resistant capability of the society is improved, and the emergency disaster-resistant effective power guarantee is formed.
In the embodiments provided by the present invention, it should be understood that the disclosed system and method can be implemented in other ways. For example, the above-described system embodiments are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (10)
1. A dispatch automation system, characterized in that the system comprises a hardware portion and a software portion, the hardware portion comprising a workstation comprising a processor for executing the software portion, the software portion comprising a support platform for implementing data acquisition, processing, control and regulation and a high-level application module; the advanced application module is used for realizing energy management and load management.
2. The automated dispatch system of claim 1, wherein the support platform comprises a data management module, a graph-model-library integration module, an incident logging module, an event and alarm processing module, a historical data processing module, a report management module, a trend logging module, a human-machine interface module, and a system clock module.
3. The automated dispatch system of claim 1, wherein the high-level application modules comprise a clean energy monitoring module, a load management module, a load forecasting module, a power plan module, a statistical analysis and evaluation module, an energy coordination control module, and a system interaction module.
4. The dispatching automation system of claim 3, wherein the clean energy monitoring module comprises an equipment operation status monitoring submodule, a power generation status monitoring submodule, a service status management submodule and a power management submodule,
the equipment running state monitoring submodule is used for monitoring the running state of electric equipment, and the electric equipment at least comprises a photovoltaic power station, a photovoltaic inverter and a combiner box;
the power generation state monitoring submodule is used for monitoring the power generation state of the small hydropower station;
the maintenance state management submodule is used for managing the maintenance state of the clean energy power generation equipment;
and the power supply management submodule is used for setting parameters of a master power supply and a slave power supply.
5. The dispatching automation system of claim 4, wherein the equipment operation state monitoring submodule monitors the operation state of the power equipment, and comprises grid connection state monitoring, real-time data monitoring, power quality monitoring, environmental parameter monitoring and safety event monitoring.
6. The dispatching automation system of claim 3, wherein the load management module comprises a hierarchical dispatching submodule and a policy generation submodule,
the hierarchical scheduling submodule is used for classifying the adjustable load of the micro-grid and performing hierarchical scheduling on the adjustable load according to monitoring feedback factors;
and the strategy generation submodule is used for automatically generating a global optimization load management strategy according to the adjustable characteristics, the spatial distribution and the load prediction result of the load of the microgrid.
7. The automated dispatch system of claim 3, wherein the statistical analysis and evaluation module is configured to perform resource analysis, energy exchange analysis, energy consumption and benefit analysis, reliability analysis, and power quality analysis.
8. The dispatching automation system of claim 3, wherein the energy coordination control module is configured to generate and execute corresponding operation control strategies in different operation modes, the operation modes include off-grid operation and on-grid operation, and the control strategies include at least a sequential control strategy and a power control strategy.
9. The dispatching automation system of claim 3, wherein the power utilization plan module is configured to set an energy storage charging and discharging plan and a load power utilization plan of each clean energy source based on grid operation factors, and the power utilization plans include a day-ahead power utilization plan and a day-inside power utilization plan.
10. The automated dispatch system of claim 3, wherein the system interaction module is configured to interface with an external metering system for information interaction.
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| CN116050844A (en) * | 2023-02-07 | 2023-05-02 | 中国安全生产科学研究院 | Intelligent supervision method and system for new business security risk |
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