CN107392498A - A kind of power network topology analysis system - Google Patents
A kind of power network topology analysis system Download PDFInfo
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- CN107392498A CN107392498A CN201710677310.0A CN201710677310A CN107392498A CN 107392498 A CN107392498 A CN 107392498A CN 201710677310 A CN201710677310 A CN 201710677310A CN 107392498 A CN107392498 A CN 107392498A
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Abstract
The present invention relates to a kind of power network topology analysis system, based on multi-agent system (Multi Agent System, MAS) framework realize, its mainly include be in communication with each other plant stand level Agent measurement modules, plant stand level Agent analysis modules, partition power grid Agent analysis modules, system-level Agent analysis modules.The present invention can carry out calculating fast and reliablely to large-scale interconnected power system topology connectivity, the topological analysis for applying also for the distributing interconnected network system of plug and play calculates, there is important supporting role to power network quantitative calculation and analysis, there is good actual application prospect.
Description
Technical field：
The present invention relates to a kind of power network topology analysis system, belong to electrical engineering field.
Background technology：
During power network topology analysis is operation of power networks, the element for changing, controlling, transmit electrical energy stream is run
The analysis of state, it is therefore an objective to form the computation model for being easy to power network quantitative analysis, be that Load flow calculation, safety economy scheduling etc. are advanced
The basis of application.The state change of electric network element determines the change of power system operation mode, also just determines power network law
The distribution of the electric network swim of (Ohm's law, Kirchhoff's law) guiding.How according to real-time operation of power networks measurement information, soon
Speed, electric network element state change is accurately tracked by, is to lift the horizontal key job of power network schedule automation.It is traditional based on figure
The power network topology analysis system of depth (range) preferential search method, artificial intelligence approach, heuristic etc. has meter in
The deficiencies of calculation amount is big, computation complexity, it is difficult to meet that the topological analysis of Novel wide-area interconnected power grid under the new situation calculates demand.
The real-time optimization adjustment of the topological structure of electric of run time level also brings new challenge to power network topology analysis system.In addition,
Most of power network topology analysis systems, which have no to be related to, measures fault-tolerant, poor robustness.
The content of the invention：
The present invention provides a kind of power network topology analysis system, realizes distributed parallel computation, and incorporated the wrong data of measurement
Verification scheme, convenience of calculation, reliability are high.
Power network topology analysis system provided by the present invention, based on multi-agent system (Multi-Agent System,
MAS) framework is realized, it mainly includes plant stand level Agent measurement modules, plant stand level Agent analysis modules, the subregion being in communication with each other
Power network Agent analysis modules, system-level Agent analysis modules.
The plant stand level Agent measurement modules refer to by remote terminal unit (RTU), data transmission unit (DTU), phase
The measuring elements such as amount measurement unit (PMU) obtain the status data and branch road stream data of switch element, and according to a string
The switch state that connection branch road meets verifies with logical relation existing for branch road current-carrying capacity to measuring numerical value, corrects obvious
Measure wrong data.
The plant stand covers the electric network element set in power plant, transformer station, switchyard, " T " wiring grade.
The plant stand level Agent analysis modules are according to plant stand level Agent metric data check results, the section of formation plant stand level
Point incidence matrix；The transitive closure battle array of topological structure is tried to achieve according to the Gauss algorithm that disappears, and no resistance company is carried out to transitive closure battle array
The search of logical node, determines the logical node in plant stand；The mapping relations between electrical node, logical node are recorded, form plant stand
Level node mapping table；And by this mapping relations and each branch road current-carrying metric data, carried out according to Kirchhoff's first law (KCL)
Verification, wrong data are measured if having, are corrected, and retriggered plant stand level is analyzed.
The partition power grid Agent analysis modules are according to the end node of transmission line of electricity in partition power grid two and its plant stand at place
Information, forms the topological structure of partition power grid, and then forms its incidence matrix；Partition power grid structure is tried to achieve according to the Gauss algorithm that disappears
Transitive closure battle array, and then determine partition power grid in logical node；Record the interior system of electrical node, logical node, partition power grid
Mapping relations between system node, form partition power grid level node mapping table；And by this mapping relations and EMS
(EMS), the branch road current-carrying metric data in data acquisition and supervisor control (SCADA), according to Kirchhoff's first law
(KCL) verified, measure wrong data if having, corrected, and retriggered partition power grid level is analyzed.It is final to determine subregion electricity
Connection subsystem in net.
The system-level Agent analysis modules are believed according to the partition power grid at the end node of interconnector in system two and its place
Breath, forms system-level topological structure, and then form its incidence matrix；System-level electric network composition is tried to achieve according to the Gauss algorithm that disappears
Transitive closure battle array, and then determine system-wide logical node；The mapping recorded between electrical node, logical node, system node is closed
System；It is and this mapping relations and the branch in EMS (EMS), data acquisition and supervisor control (SCADA) are road-load
Metric data is flowed, is verified according to Kirchhoff's first law (KCL), wrong data is measured if having, is corrected, and touch again
Send out analysis system-level.System-level node mapping table is ultimately formed, it is determined that connection subsystem.In addition, system-level Agent analysis modules
It is also responsible for communicating to provide basic calculation model support with the advanced application system part of EMS.
The transitive closure battle array AcIt can be obtained by topological structure incidence matrix according to boolean calculation, i.e.,
In formula, n is node number；A is the incidence matrix of topological structure.
The relational expression that the gaussian elimination algorithm is met based on incidence matrix and transitive closure battle array：
Ac=AAc+E (2)
Wherein, E is n × n unit matrix.Then the solution of transitive closure battle array is converted into solving system of linear equations X=AX+E shapes
The boolean calculation of formula, so that the resolving amount of transitive closure battle array greatly reduces.
The beneficial effects of the invention are as follows：
Large-scale interconnected power system topology connectivity can be carried out calculating fast and reliablely, apply also for the scattered of plug and play
The topological analysis of formula interconnected network system calculates, and has important supporting role to power network quantitative calculation and analysis, has well
Actual application prospect.
Brief description of the drawings
Below in conjunction with the accompanying drawings and embodiment the present invention is further detailed explanation：
Fig. 1 is schematic structural view of the invention.
Specific embodiment：
As shown in figure 1, a kind of power network topology analysis system, the power network topology analysis system is based on multi-agent system
(Multi-Agent System, MAS) framework realizes that it mainly includes：
(1) plant stand level Agent measurement modules.Plant stand level Agent measurement modules refer to by remote terminal unit (RTU),
The measuring elements such as data transmission unit (DTU), phasor measurement unit (PMU) obtain the status data of switch element and propped up road-load
Flow data, and according to existing for switch state and the branch road current-carrying capacity that same series arm meets logical relation to measuring numerical value
Verified, correction significantly measures wrong data.Plant stand covers power plant, transformer station, switchyard, the power network of " T " wiring grade
Element set；
(2) plant stand level Agent analysis modules.Plant stand level Agent analysis modules verify according to plant stand level Agent metric data
As a result, the node incidence matrix of plant stand level is formed；The transitive closure battle array of topological structure is tried to achieve according to the Gauss algorithm that disappears, and to transmitting
Closure battle array carries out the search of no resistance connection node, determines the logical node in plant stand；Record between electrical node, logical node
Mapping relations, form plant stand level node mapping table；And by this mapping relations and each branch road current-carrying metric data, according to kirchhoff
First Law (KCL) is verified, and is measured wrong data if having, is corrected, and retriggered plant stand level is analyzed；
Transitive closure battle array AcIt can be obtained by topological structure incidence matrix according to boolean calculation, i.e.,
In formula, n is node number；A is the incidence matrix of topological structure.
The relational expression that gaussian elimination algorithm is met based on incidence matrix and transitive closure battle array：
Ac=AAc+E (2)
Wherein, E is n × n unit matrix.Then the solution of transitive closure battle array is converted into solving system of linear equations X=AX+E shapes
The boolean calculation of formula, so that the resolving amount of transitive closure battle array greatly reduces.
(3) partition power grid Agent analysis modules.Partition power grid Agent analysis modules are according to transmission line of electricity in partition power grid
Two end nodes and its power plant and substation's information at place, form the topological structure of partition power grid, and then form its incidence matrix；According to Gauss
The algorithm that disappears tries to achieve the transitive closure battle array of partition power grid structure, and then determines the logical node in partition power grid；Record electrical node,
Mapping relations in logical node, partition power grid between system node, form partition power grid level node mapping table；And this mapping is closed
System and the branch road current-carrying metric data in EMS (EMS), data acquisition and supervisor control (SCADA), according to
Kirchhoff's first law (KCL) is verified, and is measured wrong data if having, is corrected, and retriggered partition power grid fraction
Analysis.The final connection subsystem determined in partition power grid；
(4) system-level Agent analysis modules.System-level Agent analysis modules are according to the end node of interconnector in system two
And its partition power grid information at place, system-level topological structure is formed, and then form its incidence matrix；Disappeared algorithm according to Gauss
The transitive closure battle array of system-level electric network composition is tried to achieve, and then determines system-wide logical node；Record electrical node, logic section
Mapping relations between point, system node；And this mapping relations and EMS (EMS), data acquisition are controlled with monitoring
Branch road current-carrying metric data in system (SCADA), is verified according to Kirchhoff's first law (KCL), if there is measurement wrong
Data, corrected, and the system-level analysis of retriggered.System-level node mapping table is ultimately formed, it is determined that connection subsystem.This
Outside, system-level Agent analysis modules are also responsible for the communication of the advanced application system part of EMS in terms of providing basis
Calculate model support.
Lower floor to upper layer transfers is node mapping relations between each level Agent shown in Fig. 1, and from upper strata toward lower floor
What is transmitted can be the information such as the control instruction from other advanced application systems.
The foregoing is only a specific embodiment of the invention, but protection scope of the present invention is not limited thereto, any
Belong to those skilled in the art the invention discloses technical scope in, the change or replacement that can readily occur in, all should
It is included within the scope of the present invention.Therefore, protection scope of the present invention should be defined by scope of the claims.
Above-mentioned case study on implementation is only for clear example of the present invention, and is not the limit to embodiment of the present invention
It is fixed.The obvious changes or variations amplified out the spirit for belonging to the present invention is still in protection scope of the present invention.
Claims (7)
- A kind of 1. power network topology analysis system, it is characterised in that based on multi-agent system (Multi-Agent System, MAS) framework is realized, it mainly includes plant stand level Agent measurement modules, plant stand level Agent analysis modules, the subregion being in communication with each other Power network Agent analysis modules, system-level Agent analysis modules.
- A kind of 2. power network topology analysis system as claimed in claim 1, it is characterised in that：The plant stand level Agent measures mould Block obtains the state of switch element by remote terminal unit (RTU), data transmission unit (DTU), phasor measurement unit (PMU) Data and branch road stream data, and the logic according to existing for the switch state that same series arm meets with branch road current-carrying capacity Relation pair measures numerical value and verified, and correction significantly measures wrong data；The plant stand cover power plant, transformer station, switchyard, The electric network element set of " T " wiring grade.
- A kind of 3. power network topology analysis system as claimed in claim 1, it is characterised in that：The plant stand level Agent analyzes mould Root tuber is according to plant stand level Agent metric data check results, the node incidence matrix of formation plant stand level；Tried to achieve according to the Gauss algorithm that disappears The transitive closure battle array of topological structure, and the search of no resistance connection node is carried out to transitive closure battle array, determine the logic in plant stand Node；The mapping relations between electrical node, logical node are recorded, form plant stand level node mapping table；And by this mapping relations with Each branch road current-carrying metric data, verified according to Kirchhoff's first law (KCL), measure wrong data if having, corrected, And retriggered plant stand level is analyzed.
- A kind of 4. power network topology analysis system as claimed in claim 1, it is characterised in that：The partition power grid Agent analyses Module forms the topological structure of partition power grid according to the end node of transmission line of electricity in partition power grid two and its power plant and substation's information at place, And then form its incidence matrix；The transitive closure battle array of partition power grid structure is tried to achieve according to the Gauss algorithm that disappears, and then determines subregion electricity Logical node in net；Electrical node, logical node, the mapping relations in partition power grid between system node are recorded, form subregion Power network level node mapping table；And by this mapping relations and EMS (EMS), data acquisition and supervisor control (SCADA) the branch road current-carrying metric data in, is verified according to Kirchhoff's first law (KCL), and wrong data are measured if having, Corrected, and retriggered partition power grid level is analyzed, the final connection subsystem determined in partition power grid.
- A kind of 5. power network topology analysis system as claimed in claim 1, it is characterised in that：The system-level Agent analyses mould Root tuber forms system-level topological structure according to the end node of interconnector in system two and its partition power grid information at place, and then Form its incidence matrix；The transitive closure battle array of system-level electric network composition is tried to achieve according to the Gauss algorithm that disappears, and then determined system-wide Logical node；Record the mapping relations between electrical node, logical node, system node；And by this mapping relations and energy management Branch road current-carrying metric data in system (EMS), data acquisition and supervisor control (SCADA), according to kirchhoff first Law (KCL) is verified, and is measured wrong data if having, is corrected, and the system-level analysis of retriggered.Ultimately form system-level Node mapping table, it is determined that connection subsystem.In addition, system-level Agent analysis modules be also responsible for it is advanced with EMS Application system part is communicated to provide basic calculation model support.
- A kind of 6. power network topology analysis system as described in claim 3,4,5, it is characterised in that：The transitive closure battle array AcCan Obtained by topological structure incidence matrix according to boolean calculation, i.e.,<mrow> <msub> <mi>A</mi> <mi>c</mi> </msub> <mo>=</mo> <munderover> <mi>&Sigma;</mi> <mrow> <mi>i</mi> <mo>=</mo> <mn>0</mn> </mrow> <mrow> <mi>n</mi> <mo>-</mo> <mn>1</mn> </mrow> </munderover> <msup> <mi>A</mi> <mi>i</mi> </msup> <mo>=</mo> <mi>I</mi> <mo>&CirclePlus;</mo> <mi>A</mi> <mo>&CirclePlus;</mo> <msup> <mi>A</mi> <mn>2</mn> </msup> <mo>&CirclePlus;</mo> <mo>&CirclePlus;</mo> <msup> <mi>A</mi> <mrow> <mi>n</mi> <mo>-</mo> <mn>1</mn> </mrow> </msup> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>1</mn> <mo>)</mo> </mrow> </mrow>In formula, n is node number；A is the incidence matrix of topological structure.
- A kind of 7. power network topology analysis system as described in claim 3,4,5, it is characterised in that：The gaussian elimination algorithm base In the relational expression that incidence matrix and transitive closure battle array meet：Ac=AAc+E (2)Wherein, E is n × n unit matrix；Then the solution of transitive closure battle array is converted into solving system of linear equations X=AX+E forms Boolean calculation.
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| CN108375903A (en) * | 2018-02-08 | 2018-08-07 | 凯铭科技(杭州)有限公司 | A kind of multi-agent system linearquadratic regulator control method |
| CN108649554A (en) * | 2018-03-23 | 2018-10-12 | 山东大学 | A kind of power network topology analysis method based on Gaussian elimination algorithm |
| CN109830954A (en) * | 2018-11-19 | 2019-05-31 | 国网四川省电力公司电力科学研究院 | The topological hierarchy recognition methods automatically generated suitable for power grid visualization simulation model |
| CN111082418A (en) * | 2019-12-02 | 2020-04-28 | 国网宁夏电力有限公司经济技术研究院 | System and method for analyzing topological relation of power distribution network equipment |
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| CN115441418A (en) * | 2022-09-28 | 2022-12-06 | 广东电网有限责任公司电力调度控制中心 | Asynchronous interconnection identification system of multi-region power grid section |
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Cited By (9)
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| CN108375903A (en) * | 2018-02-08 | 2018-08-07 | 凯铭科技(杭州)有限公司 | A kind of multi-agent system linearquadratic regulator control method |
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| CN109830954A (en) * | 2018-11-19 | 2019-05-31 | 国网四川省电力公司电力科学研究院 | The topological hierarchy recognition methods automatically generated suitable for power grid visualization simulation model |
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| CN111082418B (en) * | 2019-12-02 | 2021-06-04 | 国网宁夏电力有限公司经济技术研究院 | System and method for analyzing topological relation of power distribution network equipment |
| CN111563305A (en) * | 2020-05-15 | 2020-08-21 | 广东电科院能源技术有限责任公司 | Mapping method, system and computer equipment for tidal current graph of T-junction station |
| CN111563305B (en) * | 2020-05-15 | 2021-08-27 | 南方电网电力科技股份有限公司 | Mapping method, system and computer equipment for tidal current graph of T-junction station |
| CN115441418A (en) * | 2022-09-28 | 2022-12-06 | 广东电网有限责任公司电力调度控制中心 | Asynchronous interconnection identification system of multi-region power grid section |
| CN115441418B (en) * | 2022-09-28 | 2024-04-16 | 广东电网有限责任公司电力调度控制中心 | Asynchronous interconnection recognition system for sections of multi-region power grid |
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