CN104636810A - Power system black-start online recovery decision support platform - Google Patents
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Abstract
The invention relates to a power system black-start online recovery decision support platform. The decision support platform comprises a hardware frame, a software structure, a black-start recovery target grid frame intelligent generation method, and an online recovery intelligent decision support method. The black-start online recovery decision support platform can determine a target grid frame which should be recovered first according to the topological structure of a power grid and the power and load distribution in the power grid, and offer micro guidance to dispatchers in making a subsequent recovery plan. Further, on the basis of determining an optimization principle in accordance with the actual conditions of the power grid, the real-time operating condition of the system is tracked, the optimal recovery sequence of each recovery phase is calculated dynamically, and an online decision support platform aiming at the specific operation process of emergency recovery is provided for dispatchers.
Description
Technical field
The present invention relates to a kind of power system blackstart and recover Decision Support Platform online, belong to power system security defence and recover control field.
Background technology
The large-scale blackout constantly occurred in recent years shows, have a power failure on a large scale be modern power systems must faced by serious threat.Along with expanding day and society the improving constantly electric power supply dependency degree of electric system scale, the consequence that large-scale blackout causes is also more and more serious.As one of important measures of power system security defence, research electric system have a power failure on a large scale after black starting-up recover problem recover to control burden for alleviating, accelerate System recover speed, reduce economic loss that large-scale blackout brings and social influence significant.
The optimization that current power system blackstart recovers the black-start scheme that decision system provides all is formulated based on electric system historical data off-line, but the recovery scheme formulated of off-line cannot Protean system state after adaptation accident completely, concrete on-line operation process for emergency recovery can not be provided for dispatcher.Therefore, the online decision support method of black starting-up should be studied further, exploitation power system blackstart recovers Decision Support Platform, the black starting-up rejuvenation after having a power failure on a large scale to instruct whole electric system better online, alleviates the economy and society loss that electrical network catastrophe brings.
Summary of the invention
Solve above-mentioned deficiency and defect, the present invention is on the basis determining the optimization principles meeting electrical network reality, tracker real time execution operating mode, the optimized database restore sequence of each Restoration stage of dynamic calculation, for dispatcher provides the online decision support platform for emergency recovery specific operation process.
For achieving the above object, power system blackstart recovers Decision Support Platform online and comprises hardware frame, software configuration, black starting-up recovery target net intelligent generation method and online recovery intelligence decision support system method.
Described hardware frame, is under the jurisdiction of the regulate and control operation part under management and running supervisory system, and hardware configuration is standard configuration 4 Intel8 core Xeon E74820 processor (2.0GHz, 18MB buffer memory, 105W), can expand to four path processors, Intel7500 chipset; Integrated iL03 telemanagement, standard configuration 8x4G (32GB) PC3L-10600 (depositing formula low-voltage internal memory), maximumly can expand to 2TB fully buffered DIMM s (DDR3-10600/8500) internal memory, standard configuration is containing 4 memory boards (every memory board 8 memory banks), add CPU easily extensible 4 memory boards, can mirror image be configured to.
Described software configuration, comprise target net search, target net verification, target net preferably, system state identification, recover sequence optimisation, recovery scheme verification, recovery scheme adjustment, return to form supervision and recovery situation statistics.Each functional module directly and database, knowledge base mutual, the whole decision support system (DSS) of formation side by side, user calls each functional module by master controller.
It is recover the formulating rules of target net, route searching strategy and verification and preferred standard according to black starting-up that described black starting-up recovers target net intelligent generation method, is formed and sets up the automatic flow that black starting-up recovers target net.Target net intelligent generation method is as follows:
(1) original state confirms: the electric network information obtained based on management and running supervisory system, provides power supply interrupted district, operation area and demonstrate its border.
(2) target net generates: the real time information obtained based on management and running supervisory system, for the black starting-up power supply of specifying, consider multiple objective programming and multi-objective restriction, from the principle that multichannel starts, the topology searching out destination node to be restored is communicated with startup restoration path.
(3) target net verification: adopt general engineering criterion checking to carry out the technical feasibility operated for target net.
(4) target net is preferred: when having multiple technologies feasible pattern in the path of realize target rack, in conjunction with the decision-making tendentiousness of dispatcher, adopts index to carry out preferably, for dispatcher provides decision references.
Described online recovery intelligence decision support system method is scanning system real-time status, judges by topological analysis the electriferous state that system is current.On this basis, according to the dispatching principle determined and optimisation strategy, search obtains the optimized database restore scheme of current generation, and verifies its technical feasibility.Online recovery intelligence decision support system method is as follows:
(1) system state identification: scanning system current state, carries out anticipation by the electric parameters such as voltage, power of bus important in surveillance to system blackout scope and grade.And then, analyzed by initial network topology, obtain the whole network normal condition comprising plant stand tie lines and system tie lines; Followed the tracks of by network topology, can fast search state change after network joint relation.System state dynamically represents, and provides operation of power networks region in real time, recovers region, region to be restored and can not recover region.
(2) sequence optimisation research is recovered: according to the optimization principles determined and system band electricity condition, the recovery target fully automatically determining the current generation and the optimized database restore sequence reaching this target or when dispatcher specifies power supply to be restored or load, optimize and calculate optimal recovery path, specifically recover decision support for dispatcher provides.
(3) recovery scheme verification: whether the operation steps of recovery sequence optimisation gained is feasible should be verified by Load flow calculation.Before verification, allow to limit the convergence error of Load flow calculation, the parameter such as iterations arranges.After verification, the out-of-limit situation of security constraint is gathered and is reflected with text and alarm form.
(4) recovery scheme adjustment: be ensure handling safety or entire system running quality, through the scheme of verification, also needs in addition necessary adjustment.
(5) return to form supervision: according to the restriction requirement of primary operating parameter in rejuvenation, reports to the police to the situation such as out-of-limit of single equipment overload, section overload, voltage and frequency.
(6) recovery situation statistics: to the quantity of the plant stand recovered in current system, important plant stand and main element, unit output and load level are added up.Further, also show the network recovered, network to be restored, irrecoverable network by wiring diagram, and review executed recovery operation.
(7) the providing of recovery scheme sequence: to meet mode personnel and dispatcher to the different demand of scheme thickness.
Accompanying drawing explanation
Fig. 1 is the software configuration schematic diagram that power system blackstart of the present invention recovers Decision Support Platform online.
Embodiment
Below in conjunction with accompanying drawing, the present invention will be further described in detail.
Power system blackstart recovers Decision Support Platform online and comprises hardware frame, software configuration, black starting-up recovery target net intelligent generation method and online recovery intelligence decision support system method.
Hardware frame, is under the jurisdiction of the regulate and control operation part under management and running supervisory system, and hardware configuration is standard configuration 4 Intel8 core Xeon E74820 processors, can expand to four path processors, Intel7500 chipset; Integrated iL03 telemanagement, standard configuration 8x4G (32GB) PC3L-10600 (depositing formula low-voltage internal memory), maximumly can expand to 2TB fully buffered DIMM s (DDR3-10600/8500) internal memory, standard configuration is containing 4 memory boards (every memory board 8 memory banks), add CPU easily extensible 4 memory boards, can mirror image be configured to.
Further, hardware configuration is standard configuration 4 Intel8 core Xeon E74820 processor (2.0GHz, 18MB buffer memory, 105W), can expand to four path processors, Intel7500 chipset; Integrated iL03 telemanagement, standard configuration 8x4G (32GB) PC3L-10600 (depositing formula low-voltage internal memory), maximumly can expand to 2TB fully buffered DIMM s (DDR3-10600/8500) internal memory, standard configuration is containing 4 memory boards (every memory board 8 memory banks), add CPU easily extensible 4 memory boards, mirror image can be configured to, online ECC pattern for subsequent use or senior; Built-in Smart Array P410i/1GB FBWC (holding RAID0-5) array control unit, maximum support 8 small size SAS/SATA/SSD hot-plug hard disks, standard configuration 6 pieces of 600GB10K SAS6G2.5 " dual-port hot-plug hard disk; standard configuration 2 PCI-E2.0x8; 3 PCI-E2.0x4; by can card selection can increase by 4 PCI-E2.0x8,1 PCI-E2.0x4,1PCI-E1.1x4 with I/0 slot or can increase by 2 PCI-X, 2 PCI-E2.0x16; 1 PCI-E2.0x4 slot; The multi-functional network interface card of integrated NC375i tetra-port one GbE; Optional dual-port 10GbE upgrades, standard configuration band 4 1200W hot plug power supplys; Standard configuration hot-plug redundant phoenix fan (3+1); Standard configuration band DVD-RW, 4U rack, 5 years on-the-spot, and 7*24,4 hours same day showed up.Linux tetra-UPU11.2 enterprise version.
Figure 1 shows that power system blackstart recovers the software configuration schematic diagram of Decision Support Platform online.Software configuration, comprise target net search, target net verification, target net preferably, system state identification, recover sequence optimisation, recovery scheme verification, recovery scheme adjustment, return to form supervision and recovery situation statistics.Each functional module directly and database, knowledge base mutual, the whole decision support system (DSS) of formation side by side, user calls each functional module by master controller.
Further, software interface is as follows:
Electrical network parameter obtains API: can obtain electrical network parameter, comprise generator parameter (capacity, synchronous reactance, transient state reactance, subtranient reactance), transformer parameter, line parameter circuit value, load parameter etc.
Power network topology API: the topology information that can obtain electrical network, comprises the detailed topology of the disconnector of transformer station inside, isolating switch and transformer, circuit etc., also can provide the topology of generator, transformer, circuit and the load processed.
Real time data acquisition API: the real-time data of power grid after state estimation can be obtained according to demand, as: line power, node voltage, the position of the switch etc.
Load flow calculation API: Load flow calculation can be carried out to the system that black starting-up recovers intelligence decision support system CMOS macro cell.
User interactions service interface: yardman's operational order can be obtained, and scheme black starting-up being recovered intelligence decision support system CMOS macro cell is shown on management and running supervisory system interface for dispatcher's reference in the mode of picture and text.
It is recover the formulating rules of target net, route searching strategy and verification and preferred standard according to black starting-up that black starting-up recovers target net intelligent generation method, is formed and sets up the automatic flow that black starting-up recovers target net.
Further, target net intelligent generation method holds as follows:
(1) original state confirms: the electric network information obtained based on management and running supervisory system, provides power supply interrupted district, operation area and demonstrate its border.
(2) target net generates: the real time information obtained based on management and running supervisory system, for the black starting-up power supply of specifying, consider multiple objective programming and multi-objective restriction, from the principle that multichannel starts, the topology searching out destination node to be restored is communicated with startup restoration path.
(3) target net verification: adopt general engineering criterion checking to carry out the technical feasibility operated for target net.Concrete verification project comprises: generator self-excitation, nonloaded line closing overvoltage, be activated Controlling Auxiliaries in Power Plants start verification.
(4) target net is preferred: when having multiple technologies feasible pattern in the path of realize target rack, in conjunction with the decision-making tendentiousness of dispatcher, adopts index to carry out preferably, for dispatcher provides decision references.Verification index is as the capacity of voltage transitions number of times, topological path length, unit, boot sequence and the impact on important load in superpotential, self-excitation, topological path.
Online recovery intelligence decision support system method is scanning system real-time status, judges by topological analysis the electriferous state that system is current.On this basis, according to the dispatching principle determined and optimisation strategy, search obtains the optimized database restore scheme of current generation, and verifies its technical feasibility.
Further, online recovery intelligence decision support system method is as follows:
(1) system state identification: scanning system current state, carries out anticipation by the electric parameters such as voltage, power of bus important in surveillance to system blackout scope and grade.And then, analyzed by initial network topology, obtain the whole network normal condition comprising plant stand tie lines and system tie lines; Followed the tracks of by network topology, can fast search state change after network joint relation.System state dynamically represents, and provides operation of power networks region in real time, recovers region, region to be restored and can not recover region.
(2) sequence optimisation research is recovered: according to the optimization principles determined and system band electricity condition, the recovery target fully automatically determining the current generation and the optimized database restore sequence reaching this target or when dispatcher specifies power supply to be restored or load, optimize and calculate optimal recovery path, specifically recover decision support for dispatcher provides.
Recovery sequence optimisation is not only yardman provides current preferred path, needs to consider following factor: according to restoration path, reference device property difference optimized device order of operation simultaneously; The mobile equilibrium of plant-grid connection and load restoration; The Maximum Drawdown allowed according to system frequency optimizes calculated load access amount; According to recovery real-time status optimum choice homophony frequency, main pressure regulator unit; Anti-error verification.
(3) recovery scheme verification: whether the operation steps of recovery sequence optimisation gained is feasible should be verified by Load flow calculation.Before verification, allow to limit the convergence error of Load flow calculation, the parameter such as iterations arranges.After verification, the out-of-limit situation of security constraint is gathered and is reflected with text and alarm form.
(4) recovery scheme adjustment: be ensure handling safety or entire system running quality, through the scheme of verification, also needs in addition necessary adjustment.
(5) return to form supervision: according to the restriction requirement of primary operating parameter in rejuvenation, reports to the police to the situation such as out-of-limit of single equipment overload, section overload, voltage and frequency.
(6) recovery situation statistics: to the quantity of the plant stand recovered in current system, important plant stand and main element, unit output and load level are added up.Further, also show the network recovered, network to be restored, irrecoverable network by wiring diagram, and review executed recovery operation.
(7) the providing of recovery scheme sequence: to meet mode personnel and dispatcher to the different demand of scheme thickness.
For one of ordinary skill in the art, according to thought of the present invention, all will change in specific embodiments and applications, this description should not be construed as limitation of the present invention.
Claims (5)
1. power system blackstart recovers Decision Support Platform online, it is characterized in that, comprises hardware frame, software configuration, black starting-up recovery target net intelligent generation method and online recovery intelligence decision support system method.
2. power system blackstart according to claim 1 recovers Decision Support Platform online, it is characterized in that, hardware frame is under the jurisdiction of the regulate and control operation part under management and running supervisory system, hardware configuration is standard configuration 4 Intel8 core Xeon E74820 processor (2.0GHz, 18MB buffer memory, 105W), can expand to four path processors, Intel7500 chipset; Integrated iLO3 telemanagement, standard configuration 8x4G (32GB) PC3L-10600 (depositing formula low-voltage internal memory), maximumly can expand to 2TB fully buffered DIMM s (DDR3-10600/8500) internal memory, standard configuration is containing 4 memory boards (every memory board 8 memory banks), add CPU easily extensible 4 memory boards, can mirror image be configured to.
3. power system blackstart according to claim 1 recovers Decision Support Platform online, it is characterized in that, software configuration comprise target net search, target net verification, target net preferably, system state identification, recover sequence optimisation, recovery scheme verification, recovery scheme adjustment, return to form supervision and recovery situation statistics.Each functional module directly and database, knowledge base mutual, the whole decision support system (DSS) of formation side by side, user calls each functional module by master controller.
4. power system blackstart according to claim 1 recovers Decision Support Platform online, it is characterized in that, it is recover the formulating rules of target net, route searching strategy and verification and preferred standard according to black starting-up that black starting-up recovers target net intelligent generation method, is formed and sets up the automatic flow that black starting-up recovers target net.Target net intelligent generation method is as follows:
(1) original state confirms: the electric network information obtained based on management and running supervisory system, provides power supply interrupted district, operation area and demonstrate its border.
(2) target net generates: the real time information obtained based on management and running supervisory system, for the black starting-up power supply of specifying, consider multiple objective programming and multi-objective restriction, from the principle that multichannel starts, the topology searching out destination node to be restored is communicated with startup restoration path.
(3) target net verification: adopt general engineering criterion checking to carry out the technical feasibility operated for target net.
(4) target net is preferred: when having multiple technologies feasible pattern in the path of realize target rack, in conjunction with the decision-making tendentiousness of dispatcher, adopts index to carry out preferably, for dispatcher provides decision references.
5. power system blackstart according to claim 1 recovers Decision Support Platform online, it is characterized in that, online recovery intelligence decision support system method is scanning system real-time status, judges by topological analysis the electriferous state that system is current.On this basis, according to the dispatching principle determined and optimisation strategy, search obtains the optimized database restore scheme of current generation, and verifies its technical feasibility.Online recovery intelligence decision support system method is as follows:
(1) system state identification: scanning system current state, carries out anticipation by the electric parameters such as voltage, power of bus important in surveillance to system blackout scope and grade.And then, analyzed by initial network topology, obtain the whole network normal condition comprising plant stand tie lines and system tie lines; Followed the tracks of by network topology, can fast search state change after network joint relation.System state dynamically represents, and provides operation of power networks region in real time, recovers region, region to be restored and can not recover region.
(2) sequence optimisation research is recovered: according to the optimization principles determined and system band electricity condition, the recovery target fully automatically determining the current generation and the optimized database restore sequence reaching this target or when dispatcher specifies power supply to be restored or load, optimize and calculate optimal recovery path, specifically recover decision support for dispatcher provides.
(3) recovery scheme verification: whether the operation steps of recovery sequence optimisation gained is feasible should be verified by Load flow calculation.Before verification, allow to limit the convergence error of Load flow calculation, the parameter such as iterations arranges.After verification, the out-of-limit situation of security constraint is gathered and is reflected with text and alarm form.
(4) recovery scheme adjustment: be ensure handling safety or entire system running quality, through the scheme of verification, also needs in addition necessary adjustment.
(5) return to form supervision: according to the restriction requirement of primary operating parameter in rejuvenation, reports to the police to the situation such as out-of-limit of single equipment overload, section overload, voltage and frequency.
(6) recovery situation statistics: to the quantity of the plant stand recovered in current system, important plant stand and main element, unit output and load level are added up.Further, also show the network recovered, network to be restored, irrecoverable network by wiring diagram, and review executed recovery operation.
(7) the providing of recovery scheme sequence: to meet mode personnel and dispatcher to the different demand of scheme thickness.
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Cited By (1)
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Application publication date: 20150520 |