WO2015035577A1 - Méthode d'analyse quantitative pour capacité de charge de puissance active de réseau électrique en fonction de cartographie d'énergie potentielle élastique - Google Patents

Méthode d'analyse quantitative pour capacité de charge de puissance active de réseau électrique en fonction de cartographie d'énergie potentielle élastique Download PDF

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Publication number
WO2015035577A1
WO2015035577A1 PCT/CN2013/083331 CN2013083331W WO2015035577A1 WO 2015035577 A1 WO2015035577 A1 WO 2015035577A1 CN 2013083331 W CN2013083331 W CN 2013083331W WO 2015035577 A1 WO2015035577 A1 WO 2015035577A1
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WIPO (PCT)
Prior art keywords
potential energy
elastic
grid
branch
mapping
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PCT/CN2013/083331
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English (en)
Chinese (zh)
Inventor
竺炜
Original Assignee
Zhu Wei
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Priority to PCT/CN2013/083331 priority Critical patent/WO2015035577A1/fr
Publication of WO2015035577A1 publication Critical patent/WO2015035577A1/fr

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Classifications

    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/04—Circuit arrangements for ac mains or ac distribution networks for connecting networks of the same frequency but supplied from different sources
    • H02J3/06—Controlling transfer of power between connected networks; Controlling sharing of load between connected networks
    • 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
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
    • Y04S40/20—Information technology specific aspects, e.g. CAD, simulation, modelling, system security

Definitions

  • active power The most basic function of the power grid is active power (hereinafter referred to as active power) transmission. Therefore, active load capacity (or active power transmission capability) is the main indicator of grid safety analysis, which depends on grid structure, branch load capacity, power supply and load. The size and distribution of many other factors. At present, the qualitative analysis of the N-l (or even N-2) branch load limiting check is generally used in practical work. The quantitative analysis method and index of the active load carrying capacity of the power grid are still the difficulties in the safety analysis of the power grid.
  • the quantitative analysis index of the active load capacity of the power grid based on the mapped elastic potential energy analyzes the mapping elastic potential energy of the power grid branch through the state map of the power grid branch and the elastic network branch, and uses the potential energy
  • the idea of superposition is obtained, and the method for obtaining the elastic potential energy of the grid mapping is obtained.
  • the analysis finds that the elastic potential energy of the map can characterize the overall active load margin of the grid and the balance of the active load of the branch: Under a certain total active load, the larger the value, the overall active load of the grid The smaller the degree, the more uneven the active load of the branch; the smaller the value, the opposite. Therefore, it can be used as a quantitative analysis indicator of the active carrying capacity of the power grid.
  • the invention enriches the theoretical basis of grid security analysis and can be widely applied to grid planning, operation mode analysis, online scheduling and the like.
  • FIG. 1 Grid-elastic network topology mapping, (1) grid, (2) mapping elastic network Specification
  • Figure 2 Equivalent Mapping Elastic Branch
  • Figure 3 Vertical Equivalent Mapping Elastic Network
  • Figure 4 New England 10-machine 39-node system
  • Figure 5 New England 10-machine 39-node system mapping elastic network structure
  • Figure 6 New England 10-machine 39-node system cut-off Mapping elastic network structure after line 21-22Fig.7
  • Figure 9 Mapping elastic network structure of four load distribution schemes, ( 1) Outgoing load distribution plan one, (2) Outgoing load distribution plan II, (3) Out line load distribution plan III, (4) Out line load distribution plan four specific implementation
  • the elastic potential energy is the work done by the external force, ie
  • mapping elastic potential energy is
  • mapping elastic potential energy of the line is
  • the grid is mapped to a vertically stressed elastic network, and the relationship between nodes and branches is kept unchanged, as shown in Figure 1.
  • mapping elastic network be composed of strips, regardless of whether its branch is a linear elastic branch, its total potential energy satisfies the superposition characteristics, ie
  • E L ⁇ ⁇ E Ll (15) where E L ⁇ and E Li are the mapped elastic potentials of the grid and the z- th branch, respectively.
  • the length of the branch is the height difference between the nodes at both ends, and the height of the node corresponds to the phase of the voltage of the grid node. If all the branches are linear elastic branches, according to equations (11) and (14), the potential energy of the linear elastic mesh is obtained.
  • . , ⁇ is the injected active and phase of the power bus node in the grid. .6 ; is the active load and phase of the load node.
  • the metric can be used to measure the balance of the power grid branch from an internal perspective.
  • the equalization of the active load of the power grid refers to the line with a large mapping elasticity coefficient, which should carry a large active power. Since the grid is mapped into a longitudinally-loaded elastic network, the associated nodes on the power supply side and the load side and the paths between them can be combined and equivalent, and simplified into the structure shown in FIG.
  • E E L ⁇ -A( ⁇ P Ll -P L ⁇ ) (23) where A is a constant. I ⁇ is the extreme value
  • the formula (26) and the formula (21) are equivalent to each other. I.e. satisfies the formula (21), E extremum.
  • mapping elastic potential energy can characterize the balance of active load of the power grid branch.
  • the mapping elastic potential energy the better the balance of the active load of the power grid branch.
  • the New England 10-machine 39-node system is shown in Figure 4.
  • the power flow calculation is performed, wherein the bus bar 31 is a balanced node, the reference voltage is 345 kV, the reference capacity is 100 MVA, and the mapping elastic network structure is as shown in FIG. 5.
  • the method 1 is a strict theoretical method, the error of the method 2 is only 0.37%. It can be seen that when the phase difference between the two ends of the grid branch is small (in this example, the phase difference between the ends of all the branches of the grid does not exceed 10° at the maximum), the linear branch map is used and the active loss of the grid is ignored, and the mapped elastic potential energy of the grid The error is small.
  • the New England 10-machine 39-node system is still used as an example. Calculated by Method 2 of Table 1, the mapped elastic potential energy of the power grid is 4.536327, and the equivalent branch phase difference is 0.147520.
  • N-l is sequentially made to the grid branch, and the first six lines are taken according to the change of potential energy from large to small, as shown in Table 2.
  • Table 2 shows that after cutting off any grid branch, the phase difference of the equivalent branch of the grid increases, indicating that the overall active load margin becomes smaller and the bearing capacity becomes weaker.
  • the mapping elastic potential energy and equivalent branch phase are mapped. The difference between the growth and the order of the difference indicates that the greater the potential elasticity of the mapping, the smaller the overall active load margin of the grid.
  • the mapping elastic potential energy increases the most, and the overall active load margin of the power grid is the smallest.
  • the parameters of the 7-node system shown in Figure 8 are shown in Tables 3 and 4.
  • the output load is shown in Table 5.
  • the reference voltage is 500kV and the reference capacity is 100WM.
  • the node height in Figure 9 corresponds to the grid node phase, and the branch map elasticity coefficient (standard value) and active power flow (marked value) are marked next to the corresponding branch.
  • the benchmark value is 100, 3 ⁇ 4 as shown in Table 6.
  • Table 6 shows that from Scheme 1 to Scheme 4, the mapping elastic potentials of the outgoing line and the grid are increasing.
  • the mapping elastic coefficient ratio that is, when the active load distribution is the most balanced, the mapping elastic potential energy of the power grid is the smallest; in the scheme 4, when the active power load ratio of the outgoing line is opposite to the mapping elastic coefficient ratio, the active power is When the load distribution is the most uneven, the mapping elasticity potential is the largest.
  • the active carrying capacity of the power grid depends on many factors such as the power grid structure, the bearing capacity of the branch, the size and distribution of the power supply and the load, etc. It is difficult to quantitatively analyze.
  • the factors that determine the carrying capacity of the elastic network are similar to those of the power grid.
  • the elastic potential energy with clear physical concept can be applied to analyze the bearing characteristics of the elastic network. After the grid is mapped into a longitudinally-loaded elastic network, the relationship between the state quantities is consistent because the state quantities in the grid and the elastic network are equal, so the load-bearing characteristics of the elastic network are the active load-bearing characteristics of the grid.
  • the mapped elastic potential energy can quantitatively measure the active load margin of the power grid; from the internal perspective, the balance of the active load of the power grid branch can be measured; and when the mapped elastic potential energy changes, the overall load margin and internal bearer are both Description
  • mapping elastic potential energy can be used as a quantitative analysis index of the active carrying capacity of the grid.
  • Theoretical analysis and simulation analysis show that under certain total active load, the greater the mapping elastic potential energy, the weaker the active carrying capacity of the power grid.
  • the invention enriches the theoretical basis of grid security analysis and can be widely applied to grid planning, operation mode analysis, online scheduling and the like.

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

L'invention concerne une méthode d'analyse quantitative pour la capacité de charge de puissance active d'un réseau électrique en fonction d'une cartographie d'énergie potentielle élastique. En fonction d'une cartographie de modèle de réseau à mécanique élastique du réseau électrique, la cartographie de l'énergie potentielle élastique d'une branche de réseau électrique est obtenue grâce à une cartographie des états de branche. La cartographie de l'énergie potentielle élastique du réseau électrique est obtenue en utilisant une superposition d'énergie potentielle. L'analyse découvre et les simulations vérifient que la cartographie d'énergie potentielle élastique peut être utilisée comme indice d'analyse quantitative de la capacité de charge de puissance active du réseau électrique. La méthode enrichit la base théorique de l'analyse de sécurité de réseau électrique, et peut être appliquée de façon générale à la planification de réseau électrique, l'analyse de modes de fonctionnement, la répartition en ligne et à des applications similaires.
PCT/CN2013/083331 2013-09-11 2013-09-11 Méthode d'analyse quantitative pour capacité de charge de puissance active de réseau électrique en fonction de cartographie d'énergie potentielle élastique WO2015035577A1 (fr)

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PCT/CN2013/083331 WO2015035577A1 (fr) 2013-09-11 2013-09-11 Méthode d'analyse quantitative pour capacité de charge de puissance active de réseau électrique en fonction de cartographie d'énergie potentielle élastique

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PCT/CN2013/083331 WO2015035577A1 (fr) 2013-09-11 2013-09-11 Méthode d'analyse quantitative pour capacité de charge de puissance active de réseau électrique en fonction de cartographie d'énergie potentielle élastique

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108964125A (zh) * 2018-07-19 2018-12-07 长沙理工大学 提高主网功角安全鲁棒性的大型风电接入点选择方法
CN111262282A (zh) * 2020-03-17 2020-06-09 中国科学院电工研究所 一种考虑收益的分布式能源和用户交直流系统管控方法
CN111293698A (zh) * 2020-03-17 2020-06-16 中国科学院电工研究所 一种考虑运行裕度的分布式能源和用户交直流系统管控方法

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CN102227084A (zh) * 2011-06-24 2011-10-26 竺炜 电网－弹性力学网络拓扑映射方法

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CN102227084A (zh) * 2011-06-24 2011-10-26 竺炜 电网－弹性力学网络拓扑映射方法

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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108964125A (zh) * 2018-07-19 2018-12-07 长沙理工大学 提高主网功角安全鲁棒性的大型风电接入点选择方法
CN111262282A (zh) * 2020-03-17 2020-06-09 中国科学院电工研究所 一种考虑收益的分布式能源和用户交直流系统管控方法
CN111293698A (zh) * 2020-03-17 2020-06-16 中国科学院电工研究所 一种考虑运行裕度的分布式能源和用户交直流系统管控方法
CN111293698B (zh) * 2020-03-17 2021-09-28 中国科学院电工研究所 一种考虑运行裕度的分布式能源和用户交直流系统管控方法

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