CN112688285A - Fault isolation and load recovery method for optimized scheduling of operators in power distribution network - Google Patents
Fault isolation and load recovery method for optimized scheduling of operators in power distribution network Download PDFInfo
- Publication number
- CN112688285A CN112688285A CN202011505972.8A CN202011505972A CN112688285A CN 112688285 A CN112688285 A CN 112688285A CN 202011505972 A CN202011505972 A CN 202011505972A CN 112688285 A CN112688285 A CN 112688285A
- Authority
- CN
- China
- Prior art keywords
- constraint
- line
- operator
- constraints
- node
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- 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
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
- Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
- Y02B70/3225—Demand response systems, e.g. load shedding, peak shaving
-
- 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
- Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
- Y04S20/20—End-user application control systems
- Y04S20/222—Demand response systems, e.g. load shedding, peak shaving
Abstract
The invention discloses a fault isolation and load recovery method for optimal scheduling of operators in a power distribution network, which comprises the steps of establishing a fault isolation and load recovery model considering the optimal scheduling of the operators by taking the minimum system loss load as an objective function, and solving under a given constraint condition to obtain a switching action and operator scheduling scheme for minimizing the system loss load; the constraint conditions comprise power grid operation constraint, operator scheduling constraint and operator and switch action coupling constraint.
Description
Technical Field
The invention belongs to the field of power system analysis, and particularly relates to a fault isolation and load recovery method for optimal scheduling of operators in a power distribution network.
Background
The electric power system is an important infrastructure of modern society, and the safe and reliable operation of the electric power system is an important guarantee for normal proceeding of social life and economic life of people. With the frequent occurrence of extreme weather, the large-scale power failure accidents of the power system caused by the extreme weather are more and more, and the production and the life of people are seriously influenced. When multiple faults in the power distribution system are caused by extreme weather, after the occurrence area of the faults is preliminarily determined through the configured fault indicators, the manual switch and the telemechanical switch can carry out preliminary fault isolation and load recovery. After the patrol personnel patrol and examine the fault area and determine the specific occurrence position of the fault, the manual switch and the telemechanical switch can further complete fault isolation and load recovery. In the fault isolation and load recovery processes, the problems of scheduling and operation of operators and the like need to be considered comprehensively by the action of the manual switch, and the action decision of a plurality of manual switches makes the problems more complicated. Therefore, it is important to comprehensively consider the switching action and the operator scheduling scheme for the operator to optimize the scheduling so as to obtain the minimum system loss load.
Disclosure of Invention
In order to further improve the efficiency of system fault isolation and load recovery after a power distribution system has a fault, particularly after multiple serious faults caused by extreme weather, the invention provides a fault isolation and load recovery method considering the optimized scheduling of an operator, and the efficiency of system fault isolation and load recovery is improved through the optimization of switching action and the scheduling optimization of the operator. The specific scheme comprises the following steps:
a fault isolation and load recovery method for optimized scheduling of operators in a power distribution network comprises a manual switch, a telemechanical switch, a fault indicator and operator position information, and comprises the following steps:
establishing a fault isolation and load recovery model scheduled by an operator according to fault data provided by a fault indicator; wherein
The fault isolation and load recovery model obtains the minimum loss in the power distribution network through the following objective function
The load capacity; the objective function is represented by the form:
wherein omegaTRepresenting the time period under consideration; omegaBRepresenting the set of nodes under considerationCombining; omegaiRepresenting the considered node weights; pC,i,tRepresenting the amount of node workload under consideration;
and the fault isolation and load recovery model solves and outputs optimal scheduling data between switching actions and operators in the distribution network for the objective function by setting constraint conditions.
Further, the constraint conditions comprise power distribution network operation constraints, operator scheduling constraints and operator and switch action coupling constraints.
Further, the power distribution network operation constraints include: topology initialization constraints, line on-off state constraints, radial topology constraints, power flow balance constraints, line capacity constraints, voltage amplitude constraints, distributed power supply output constraints, load loss constraints, fault propagation constraints and switch action constraints; wherein:
the topology initialization constraints include:
wherein the content of the first and second substances,indicating whether the i side of the line ij is closed at the time t, and if so, closing the line ijOtherwise Indicates whether the i side of the line ij is closed before the time t is 0, and if the i side is closed, the i side is closedOtherwiseΩLRepresenting the set of lines under consideration.
Constraints (2), (3) limit the initial open and closed state of the line.
The line open-closed state constraint includes:
wherein z isij,tIndicating whether the line ij is closed at the time t, if so, zij,t1, otherwise zij,t=0;fijIndicating whether the line ij is in fault, if so, fij1, otherwise fij=0;
Constraint (4) indicates that line ij is closed only when both of its side states are closed and not faulty;
equation (4) can be linearized by the following equation:
the radial topological constraint is expressed as:
wherein N isbusRepresenting the number of considered nodes; gamma rayi,tWhether the node i at the time t is a root node of the island network or not is shown, and if yes, gamma is showni,t1, otherwise γi,t0; m represents a maximum number; chi shapeij,tRepresents the virtual flow size on line ij at time t;
the constraint (7) is a coupling constraint of the number of closed lines and the number of root nodes; constraining (8) the limiting node virtual flow injection; constraints (9) limit the flow of only closed circuits through the virtual stream;
the power flow balance constraint is expressed as:
wherein, PL,iAnd QL,iRespectively representing the active demand and the reactive demand of the node i; pD,i,tAnd QD,i,tRespectively representing the active output quantity and the reactive output quantity of a node i at the time t; pC,i,tAnd QC,i,tRespectively representing the active load loss amount and the reactive load loss amount of a node i at the moment t; pF,ij,tAnd QF,ij,tRespectively representing the active power flow and the reactive power flow of a line ij at the moment t; omegaparent,iRepresenting a node i mother node set; omegachild,iA set of child nodes representing node i;
the line capacity constraint is expressed as:
The voltage magnitude constraint is expressed as:
wherein the content of the first and second substances,andrespectively representing the minimum and maximum voltages allowed at node i.
The distributed power output constraint is expressed as:
wherein eta isi,tIndicating whether the node i at the time t is in the fault area, if yes, etai,t1, otherwise ηi,t=0;Andrespectively representing the minimum value and the maximum value of the active output of the distributed power supply at the node i;andrespectively representing the minimum value and the maximum value of the reactive output of the distributed power supply at the node i.
The loss of load constraint is expressed as:
the fault propagation constraint is expressed as:
constraints (20), (21) represent node faults on both sides of the closed fault line; constraints (22), (23) indicate simultaneous failure or no failure of nodes on both sides of the closed line.
The switching action constraint is expressed as:
wherein the content of the first and second substances,indicating whether the i side of the line ij is provided with a telemechanical switch or not, and if so, indicating that the telemechanical switch is arranged on the i side of the line ijOtherwise Indicating whether a manual switch is arranged on the i side of the line ij or not, and if so, indicating that the manual switch is arranged on the i side of the line ijOtherwiseTMSIndicating the manual switch operation time.
The constraint (24) indicates that the line on-off state can only be changed by the remote switch before the manual switch completes the operation, and the line state can be changed by the manual switch and the remote switch after the manual switch completes the operation.
Further, the operator scheduling constraint is expressed as:
wherein phi isk,m,tIndicating whether the kth operator reaches the m position at the time t, if soIs then phik,m,t1, otherwise phik,m,t=0;ΩCMRepresenting a set of manual switch operators; vS,kIndicating the starting position of the kth operator; t isS,kIndicating a start time when the kth operator can be scheduled; omegaVDRepresenting an initial set of warehouse locations for an operator; t ismnIndicating the time of the operator's transition from the m position to the n position.
The constraint (25) indicates the starting position of the operator at the starting moment; the constraint (26) indicates that the operator is not in any position before the start time at which he can be scheduled, but at most one position at each moment after the start time at which he can be scheduled; the constraint (27) is a transfer constraint of the operator between different positions; the constraint (28) is a transfer constraint for the operator between the initial warehouse and the manual switch position.
Further, the operator and switch action coupling constraint is expressed as:
wherein δ () is a mapping function from the position of the line to the line number, and ij ═ δ (m) represents that the position of the line ij is m.
Equation (29) can be linearized by the following equation:
further, the fault isolation and load recovery model considering the operator optimization scheduling is represented by the following form:
advantageous effects
Compared with the prior art, the invention has the beneficial effects that:
in the prior art, when considering the change of the line opening and closing state, only one switch type is generally considered, and the difference between a telecontrol switch and a manual switch in action is ignored. Meanwhile, when considering manual switch action, the scheduling of the switch operator is not usually considered. Compared with the prior art, the method fills the blank, comprehensively considers different characteristics of the telemechanical switch and the manual switch during action, operator scheduling and the coupling relation between the operator scheduling and the manual switch action, and accordingly obtains a fault isolation and load recovery scheme considering the operator optimization scheduling. In conclusion, the method provided by the invention can realize efficient fault isolation and load recovery processes, so that the coping capacity of the power distribution network for multiple serious faults caused by faults, especially extreme weather, is improved.
Drawings
Fig. 1 is a schematic flow chart of a fault isolation and load recovery method for optimal scheduling of an operator in a power distribution network according to the present invention;
fig. 2 is a schematic diagram of an IEEE 123 node power distribution system.
Detailed Description
The technical solution of the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.
As shown in fig. 1, the present invention provides a fault isolation and load recovery method for operator optimized scheduling in a power distribution network, which is characterized in that the power distribution network includes a manual switch, a telemechanical switch, a fault indicator and operator position information, and the steps are as follows:
establishing operator scheduled fault isolation and load restoration from fault data provided by a fault indicator
A model; the representation form is:
the fault isolation and load recovery model obtains the minimum loss in the power distribution network through the following objective function
The load capacity; the objective function is represented by the form:
wherein omegaTRepresenting the time period under consideration; omegaBRepresenting the set of nodes under consideration; omegaiRepresenting the considered node weights; pC,i,tRepresenting the amount of node workload under consideration;
and the fault isolation and load recovery model solves and outputs optimal scheduling data between switching actions and operators in the distribution network for the objective function by setting constraint conditions.
The constraint conditions comprise power distribution network operation constraints, operator scheduling constraints and operator and switch action coupling constraints.
The power distribution network operation constraints include: topology initialization constraints, line on-off state constraints, radial topology constraints, power flow balance constraints, line capacity constraints, voltage amplitude constraints, distributed power supply output constraints, load loss constraints, fault propagation constraints and switch action constraints; wherein:
the topology initialization constraints include:
wherein the content of the first and second substances,indicating whether the i side of the line ij is closed at the time t, and if so, closing the line ijOtherwise Indicates whether the i side of the line ij is closed before the time t is 0, and if the i side is closed, the i side is closedOtherwiseΩLRepresenting the set of lines under consideration.
Constraints (2), (3) limit the initial open and closed state of the line.
The line open-closed state constraint includes:
wherein z isij,tIndicating whether the line ij is closed at the time t, if so, zij,t1, otherwise zij,t=0;fijIndicating whether the line ij is in fault, if so, fij1, otherwise fij=0;
Constraint (4) indicates that line ij is closed only when both of its side states are closed and not faulty;
equation (4) can be linearized by the following equation:
the radial topological constraint is expressed as:
wherein N isbusRepresenting the number of considered nodes; gamma rayi,tWhether the node i at the time t is a root node of the island network or not is shown, and if yes, gamma is showni,t1, otherwise γi,t0; m represents a maximum number; chi shapeij,tRepresents the virtual flow size on line ij at time t;
the constraint (7) is a coupling constraint of the number of closed lines and the number of root nodes; constraining (8) the limiting node virtual flow injection; constraints (9) limit the flow of only closed circuits through the virtual stream;
the power flow balance constraint is expressed as:
wherein, PL,iAnd QL,iRespectively representing the active demand and the reactive demand of the node i; pD,i,tAnd QD,i,tRespectively representing the active output quantity and the reactive output quantity of a node i at the time t; pC,i,tAnd QC,i,tRespectively representing the active load loss amount and the reactive load loss amount of a node i at the moment t; pF,ij,tAnd QF,ij,tRespectively representing active tide of line ij at time tFlow and reactive power flow; omegaparent,iRepresenting a node i mother node set; omegachild,iA set of child nodes representing node i;
the line capacity constraint is expressed as:
The voltage magnitude constraint is expressed as:
wherein the content of the first and second substances,andrespectively representing the minimum and maximum voltages allowed at node i.
The distributed power output constraint is expressed as:
wherein eta isi,tIndicating whether the node i at the time t is in the fault area, if yes, etai,t1, otherwise ηi,t=0;Andrespectively representing the minimum value and the maximum value of the active output of the distributed power supply at the node i;andrespectively representing the minimum value and the maximum value of the reactive output of the distributed power supply at the node i.
The loss of load constraint is expressed as:
the fault propagation constraint is expressed as:
constraints (20), (21) represent node faults on both sides of the closed fault line; constraints (22), (23) indicate simultaneous failure or no failure of nodes on both sides of the closed line.
The switching action constraint is expressed as:
wherein the content of the first and second substances,indicating whether the i side of the line ij is provided with a telemechanical switch or not, and if so, indicating that the telemechanical switch is arranged on the i side of the line ijOtherwise Indicating whether a manual switch is arranged on the i side of the line ij or not, and if so, indicating that the manual switch is arranged on the i side of the line ijOtherwiseTMSIndicating the manual switch operation time.
The constraint (24) indicates that the line on-off state can only be changed by the remote switch before the manual switch completes the operation, and the line state can be changed by the manual switch and the remote switch after the manual switch completes the operation.
The operator scheduling constraint is expressed as:
wherein phi isk,m,tIndicating whether the kth operator reaches the position m at the moment t, if so, phik,m,t1, otherwise phik,m,t=0;ΩCMRepresenting a set of manual switch operators; vS,kIndicating the starting position of the kth operator; t isS,kIndicating a start time when the kth operator can be scheduled; omegaVDRepresenting an initial set of warehouse locations for an operator; t ismnIndicating the time of the operator's transition from the m position to the n position.
The constraint (25) indicates the starting position of the operator at the starting moment; the constraint (26) indicates that the operator is not in any position before the start time at which he can be scheduled, but at most one position at each moment after the start time at which he can be scheduled; the constraint (27) is a transfer constraint of the operator between different positions; the constraint (28) is a transfer constraint for the operator between the initial warehouse and the manual switch position.
The operator and switch action coupling constraint is expressed as:
wherein δ (·) is a mapping function from the location of the line to the line number, and ij δ (m) represents that the location of the line ij is m.
Equation (29) can be linearized by the following equation:
the invention is applied in practice:
step 1: the validity and correctness of the method provided by the invention are verified by adopting an IEEE 123 node power distribution system as shown in figure 2. Based on the line fault information, the operators 1, 2, 5, 6 reach the positions 28-34, 32-33, 113 and 114 and 115 respectively at the time t-13 to start the operation tasks, and the operators 3, 4 reach the positions 59-60 and 74-75 respectively at the time t-19 to start the operation tasks.
Step 2:
and establishing a fault isolation and load recovery model considering the optimal scheduling of the operators by taking the minimum system loss load as an objective function, and solving under a given constraint condition to obtain a switching action and operator scheduling scheme for minimizing the system loss load. The constraint conditions include grid operation constraints, operator scheduling constraints, and operator and switch action coupling constraints.
And step 3:
the optimal switching action and personnel scheduling scheme results obtained by solving the fault isolation and load recovery model considering the operator optimal scheduling are shown in table 1. Wherein, the elements in the table represent that the operator arrives at a certain position at a certain time or the telemechanical switch at a certain position acts at a certain time, such as: operator 1 arrives at lines 28-34 at time t-13, lines 26-29 at time t-16, and lines 22-24 at time t-19; at time t 15, the telemechanical switch at line 115 and 116 is actuated, at time t 17, the telemechanical switch at line 49-121, at time t 20, the telemechanical switch at line 14-19, at time t 21, the telemechanical switch at line 102 and 122, at time t 22, the telemechanical switch at line 53-119, and at time t 23, the telemechanical switches at lines 55-95 and 79-81. As shown in table 1:
TABLE 1 optimal scheme for switching actions and operator scheduling
Claims (6)
1. A fault isolation and load recovery method for optimized scheduling of operators in a power distribution network is characterized in that the power distribution network comprises a manual switch, a telemechanical switch, a fault indicator and position information of the operators, and the method comprises the following steps:
establishing a fault isolation and load recovery model scheduled by an operator according to fault data provided by a fault indicator; wherein
The fault isolation and load recovery model obtains the minimum loss load in the power distribution network through the following objective function; the objective function is represented by the form:
wherein omegaTRepresenting the time period under consideration; omegaBRepresenting the set of nodes under consideration; omegaiRepresenting the considered node weights; pC,i,tRepresenting the amount of node workload under consideration;
and the fault isolation and load recovery model solves and outputs optimal scheduling data between switching actions and operators in the distribution network for the objective function by setting constraint conditions.
2. The method for fault isolation and load restoration for operator optimized scheduling in a power distribution network of claim 1, wherein: the constraint conditions include: distribution network operation constraints, operator scheduling constraints, and operator and switch action coupling constraints.
3. The method for fault isolation and load restoration for operator optimized scheduling in an electrical distribution network of claim 2, wherein: the power distribution network operation constraints include: topology initialization constraints, line on-off state constraints, radial topology constraints, power flow balance constraints, line capacity constraints, voltage amplitude constraints, distributed power supply output constraints, load loss constraints, fault propagation constraints and switch action constraints; wherein:
the topology initialization constraints include:
wherein the content of the first and second substances,indicating whether the i side of the line ij is closed at the time t, and if so, closing the line ijOtherwise Indicates whether the i side of the line ij is closed before the time t is 0, and if the i side is closed, the i side is closedOtherwiseΩLRepresenting the set of lines under consideration.
Constraints (2), (3) limit the initial open and closed state of the line.
The line open-closed state constraint includes:
wherein z isij,tIndicating whether the line ij is closed at the time t, if so, zij,t1, otherwise zij,t=0;fijIndicating whether the line ij is in fault, if so, fij1, otherwise fij=0;
Constraint (4) indicates that line ij is closed only when both of its side states are closed and not faulty;
equation (4) can be linearized by the following equation:
the radial topological constraint is expressed as:
wherein N isbusRepresenting the number of considered nodes; gamma rayi,tWhether the node i at the time t is a root node of the island network or not is shown, and if yes, gamma is showni,t1, otherwise γi,t0; m represents a maximum number; chi shapeij,tRepresents the virtual flow size on line ij at time t;
the constraint (7) is a coupling constraint of the number of closed lines and the number of root nodes; constraining (8) the limiting node virtual flow injection; constraints (9) limit the flow of only closed circuits through the virtual stream;
the power flow balance constraint is expressed as:
wherein, PL,iAnd QL,iRespectively representing the active demand and the reactive demand of the node i; pD,i,tAnd QD,i,tRespectively representing the active output quantity and the reactive output quantity of a node i at the time t; pC,i,tAnd QC,i,tRespectively representing the active load loss amount and the reactive load loss amount of a node i at the moment t; pF,ij,tAnd QF,ij,tRespectively representing the active power flow and the reactive power flow of a line ij at the moment t; omegaparent,iRepresenting a node i mother node set; omegachild,iA set of child nodes representing node i;
the line capacity constraint is expressed as:
The voltage magnitude constraint is expressed as:
wherein the content of the first and second substances,andrespectively representing the minimum and maximum voltages allowed at node i.
The distributed power output constraint is expressed as:
wherein eta isi,tIndicating whether the node i at the time t is in the fault area, if yes, etai,t1, otherwise ηi,t=0;Andrespectively representing the minimum value and the maximum value of the active output of the distributed power supply at the node i;andrespectively representing the minimum value and the maximum value of the reactive output of the distributed power supply at the node i.
The loss of load constraint is expressed as:
the fault propagation constraint is expressed as:
constraints (20), (21) represent node faults on both sides of the closed fault line; constraints (22), (23) indicate simultaneous failure or no failure of nodes on both sides of the closed line.
The switching action constraint is expressed as:
wherein the content of the first and second substances,indicating whether the i side of the line ij is provided with a telemechanical switch or not, and if so, indicating that the telemechanical switch is arranged on the i side of the line ijOtherwise Indicating whether a manual switch is arranged on the i side of the line ij or not, and if so, indicating that the manual switch is arranged on the i side of the line ijOtherwiseTMSIndicating the manual switch operation time.
The constraint (24) indicates that the line on-off state can only be changed by the remote switch before the manual switch completes the operation, and the line state can be changed by the manual switch and the remote switch after the manual switch completes the operation.
4. The method for fault isolation and load restoration for operator optimized scheduling in an electrical distribution network of claim 2, wherein the operator scheduling constraint is expressed as:
wherein phi isk,m,tIndicating whether the kth operator reaches the position m at the moment t, if so, phik,m,t1, otherwise phik,m,t=0;ΩCMRepresenting a set of manual switch operators; vS,kIndicating the starting position of the kth operator; t isS,kIndicating a start time when the kth operator can be scheduled; omegaVDRepresenting an initial set of warehouse locations for an operator; t ismnIndicating the time of the operator's transition from the m position to the n position.
The constraint (25) indicates the starting position of the operator at the starting moment; the constraint (26) indicates that the operator is not in any position before the start time at which he can be scheduled, but at most one position at each moment after the start time at which he can be scheduled; the constraint (27) is a transfer constraint of the operator between different positions; the constraint (28) is a transfer constraint for the operator between the initial warehouse and the manual switch position.
5. The method for fault isolation and load restoration for operator optimized scheduling in an electric power distribution network according to claim 2, wherein the operator and switch action coupling constraints are expressed as:
wherein δ (·) is a mapping function from the location of the line to the line number, and ij δ (m) represents that the location of the line ij is m.
Equation (29) can be linearized by the following equation:
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011505972.8A CN112688285B (en) | 2020-12-18 | 2020-12-18 | Fault isolation and load recovery method for optimized scheduling of operators in power distribution network |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011505972.8A CN112688285B (en) | 2020-12-18 | 2020-12-18 | Fault isolation and load recovery method for optimized scheduling of operators in power distribution network |
Publications (2)
Publication Number | Publication Date |
---|---|
CN112688285A true CN112688285A (en) | 2021-04-20 |
CN112688285B CN112688285B (en) | 2022-04-29 |
Family
ID=75449829
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202011505972.8A Active CN112688285B (en) | 2020-12-18 | 2020-12-18 | Fault isolation and load recovery method for optimized scheduling of operators in power distribution network |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN112688285B (en) |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113872188A (en) * | 2021-09-15 | 2021-12-31 | 天津大学 | Toughness improving method for multi-resource multi-stage coupling power distribution system |
CN115345391A (en) * | 2022-10-20 | 2022-11-15 | 广东电网有限责任公司 | Post-disaster recovery method and device for electric-gas energy system and storage medium |
CN116316616A (en) * | 2023-05-26 | 2023-06-23 | 南方电网数字电网研究院有限公司 | Fault processing scheme determining method and device for power distribution network and computer equipment |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101958536A (en) * | 2010-09-20 | 2011-01-26 | 中国电力科学研究院 | Distribution network failure isolation and quick power service restoration decision support system |
CN102496937A (en) * | 2011-11-28 | 2012-06-13 | 山东工商学院 | Fault recovery method applied to intelligent distribution network and based on load balance |
CN103366315A (en) * | 2013-07-24 | 2013-10-23 | 国家电网公司 | Distribution network operating safety assessment method based on distribution network fault lost load recovery values |
-
2020
- 2020-12-18 CN CN202011505972.8A patent/CN112688285B/en active Active
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101958536A (en) * | 2010-09-20 | 2011-01-26 | 中国电力科学研究院 | Distribution network failure isolation and quick power service restoration decision support system |
CN102496937A (en) * | 2011-11-28 | 2012-06-13 | 山东工商学院 | Fault recovery method applied to intelligent distribution network and based on load balance |
CN103366315A (en) * | 2013-07-24 | 2013-10-23 | 国家电网公司 | Distribution network operating safety assessment method based on distribution network fault lost load recovery values |
Non-Patent Citations (1)
Title |
---|
陈昕玥等: "基于机会约束规划含光伏发电的配电网故障恢复", 《电网技术》 * |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113872188A (en) * | 2021-09-15 | 2021-12-31 | 天津大学 | Toughness improving method for multi-resource multi-stage coupling power distribution system |
CN115345391A (en) * | 2022-10-20 | 2022-11-15 | 广东电网有限责任公司 | Post-disaster recovery method and device for electric-gas energy system and storage medium |
CN116316616A (en) * | 2023-05-26 | 2023-06-23 | 南方电网数字电网研究院有限公司 | Fault processing scheme determining method and device for power distribution network and computer equipment |
CN116316616B (en) * | 2023-05-26 | 2023-09-15 | 南方电网数字电网研究院有限公司 | Fault processing scheme determining method and device for power distribution network and computer equipment |
Also Published As
Publication number | Publication date |
---|---|
CN112688285B (en) | 2022-04-29 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN112688285B (en) | Fault isolation and load recovery method for optimized scheduling of operators in power distribution network | |
CN106556761B (en) | A kind of direct-current charging post detection system and method applied on site | |
CN104270091B (en) | A kind of photovoltaic power generation equipment method for diagnosing faults based on monitoring system | |
CN104578427B (en) | Fault self-healing method for power distribution network containing microgrid power source | |
CN112884245B (en) | Power distribution network post-disaster rush repair scheduling and load recovery collaborative optimization method and system | |
WO2022037234A1 (en) | Transmission-distribution integrated load transfer method facing high-quality power supply service | |
CN105743126A (en) | Microgrid energy management system capable of realizing load management | |
CN111697566B (en) | Reliability assessment method for active power distribution network information physical system considering information failure | |
CN110311398B (en) | Connection topology, control system and method of novel energy storage battery system | |
CN104934968A (en) | Multi-agent based distribution network disaster responding recovery coordinate control method and multi-agent based distribution network disaster responding recovery coordinate control device | |
CN113159598A (en) | Method and device for rush repair and scheduling of transformer area faults and terminal equipment | |
CN105893714B (en) | Based on the detection of automatic voltage control system closed loop and appraisal procedure under Bulk power system simulation system | |
CN105552899B (en) | A kind of method of power system restoration power after calculating is had a power failure on a large scale | |
CN104361531A (en) | Identification method and system for high-risk failure equipment of substation automation system | |
CN110233477B (en) | Stability control simulation system based on three-defense line simulation | |
CN206178821U (en) | LCC self -defined simulation and analysis system of HVDC based on ADPSS | |
CN104809340A (en) | Method for quickly calculating operating point of multi-end flexible direct-current power transmission system | |
CN113872188B (en) | Toughness improving method for multi-resource multi-stage coupling power distribution system | |
CN105629101B (en) | A kind of method for diagnosing faults of more power module parallel systems based on ant group algorithm | |
CN201490728U (en) | Combined to the grid anti-reflux control system | |
CN107786001A (en) | A kind of monitoring abnormal state analyzer for DC converter station | |
CN103915843B (en) | Take into account the multi-period power distribution network service restoration method of interruptible load | |
Zhong et al. | Method of Cyber-Physical System Based on Self-Approaching Optimization Theory for Smart Microgrid | |
CN105137360B (en) | One key charging method of storage batteries of transformer substation group | |
CN105024346B (en) | A kind of modeling method of micro-capacitance sensor protection system |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |