CN116169673A - Elasticity evaluation method and system of power distribution network, electronic equipment and readable storage medium - Google Patents
Elasticity evaluation method and system of power distribution network, electronic equipment and readable storage medium Download PDFInfo
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Abstract
The application discloses an elasticity assessment method, an elasticity assessment system, electronic equipment and a readable storage medium of a power distribution network, and relates to the field of power distribution networks, wherein the elasticity assessment method comprises the following steps: acquiring distribution network information and fault information corresponding to a distribution network to be evaluated; determining fault nodes in all nodes of the power distribution network to be evaluated based on the distribution network information and the fault information, and performing power distribution automation processing on the fault nodes; acquiring power loss information of each node in the power distribution network to be evaluated, and determining an elastic index based on the power loss information; and determining the elasticity level of the power distribution network to be evaluated according to the elasticity index. The method and the device can comprehensively consider the influence of distribution automation on the elasticity evaluation of the distribution network, and improve the comprehensiveness and reliability of the elasticity evaluation result of the distribution network.
Description
Technical Field
The present disclosure relates to the field of power distribution networks, and in particular, to a method and a system for evaluating elasticity of a power distribution network, an electronic device, and a readable storage medium.
Background
The power distribution network has unique topological structure and operation characteristics, and is more easily affected by extreme natural disasters compared with a power transmission network, so that the capability of coping with extreme disaster events of the power distribution network is widely paid attention to at home and abroad. Elasticity is the ability of a system to reduce system losses during the duration of a fault by changing its state under severe disturbance or fault conditions, and to recover to a normal state as soon as possible after the fault has ended. The distribution automation is taken as an important means for elastic lifting of the distribution network, the accurate positioning and isolation of a fault area can be realized at the moment after a large-scale fault occurs, the normal operation of a non-fault area can be quickly recovered, powerful support is provided for continuous power supply of loads, the complexity of the distribution network topology and operation mode is certainly increased due to the access of the distribution automation, the influence of the distribution automation on the elastic evaluation of the distribution network is not considered in the existing research, and the elastic evaluation result of the existing distribution network is incomplete and unreliable.
Therefore, how to provide a solution to the above technical problem is a problem that a person skilled in the art needs to solve at present.
Disclosure of Invention
The purpose of the application is to provide an elasticity evaluation method, an elasticity evaluation system, electronic equipment and a readable storage medium of a power distribution network, which can comprehensively consider the influence of power distribution automation on the elasticity evaluation of the power distribution network, and improve the comprehensiveness and reliability of the elasticity evaluation result of the power distribution network.
In order to solve the above technical problems, the present application provides a method for evaluating elasticity of a power distribution network, including:
acquiring distribution network information and fault information corresponding to a distribution network to be evaluated;
determining fault nodes in all nodes of the power distribution network to be evaluated based on the distribution network information and the fault information, and performing power distribution automation processing on the fault nodes;
acquiring power loss information of each node in the power distribution network to be evaluated, and determining an elasticity index based on the power loss information;
and determining the elasticity level of the power distribution network to be evaluated according to the elasticity index.
Optionally, after the acquiring the distribution network information and the fault information corresponding to the power distribution network to be evaluated, before determining the fault node in all the nodes of the power distribution network to be evaluated based on the distribution network information and the fault information, the elasticity evaluation method further includes:
Determining the position of each breaker in the power distribution network to be evaluated based on the distribution network information;
dividing the power distribution network to be evaluated into a plurality of nodes according to the positions;
establishing association relations between each node and the circuit breaker at the upstream of the node;
correspondingly, the power distribution automation processing process for the fault node comprises the following steps:
and carrying out power distribution automation processing on the fault node based on the association relation and the fault information.
Optionally, the process of performing power distribution automation processing on the fault node based on the association relation and the fault information includes:
controlling the circuit breaker upstream of the fault node to open so as to isolate the fault node;
judging whether a node downstream of the fault node is configured with a tie switch or not according to the distribution network information;
if yes, the contact switch is controlled to be conducted so that the node downstream of the fault node can restore power supply.
Optionally, the process of obtaining the power loss information of each node in the power distribution network to be evaluated includes:
determining a feeder automation mode of the power distribution network to be evaluated based on the distribution network information;
And acquiring the power loss information of each node in the power distribution network to be evaluated according to the feeder automation mode.
Optionally, the process of obtaining the power loss information of each node in the power distribution network to be evaluated and determining the elasticity index based on the power loss information includes:
acquiring power loss information of each node in the power distribution network to be evaluated, and determining a first elastic index corresponding to the power distribution automation processing process based on the power loss information;
and/or the number of the groups of groups,
and acquiring power loss information of each node in the power distribution network to be evaluated, and determining a second elastic index corresponding to the power distribution automation processing result based on the power loss information.
Optionally, the process of obtaining the power loss information of each node in the power distribution network to be evaluated includes:
acquiring the power loss time of each load in each non-fault node of the power distribution network to be evaluated, the power failure times of each node and the power generation loss of the nodes including distributed power generation in the power distribution automation processing process; the non-fault node is the node except the fault node in the power distribution network to be evaluated;
accordingly, the process of determining a first elasticity index corresponding to the process of power distribution automation processing based on the power loss information includes:
Calculating the average power failure time of the important load of the non-fault area based on each power failure time;
calculating the average power failure times of the system based on the power failure times;
calculating the power generation loss of a distributed power supply in the power distribution network to be evaluated based on each power generation loss;
and determining the average power-off duration of the important load of the non-fault area, the average power-off times of the system and the power generation loss of the distributed power supply as the first elasticity index.
Optionally, after obtaining the power loss information of each node in the power distribution network to be evaluated, the elasticity evaluation method further includes:
determining a system function curve based on each piece of power loss information;
correspondingly, the process of determining the second elasticity index corresponding to the power distribution automation processing result based on the power loss information comprises the following steps:
calculating the active power shortage amount, the maximum load loss proportion and the average load loss speed of the system according to the system function curve;
and determining the system active power shortage, the maximum load loss ratio and the average load loss speed as the second elasticity index.
In order to solve the above technical problem, the present application further provides an elasticity evaluation system of a power distribution network, including:
The first acquisition module is used for acquiring distribution network information and fault information corresponding to the power distribution network to be evaluated;
the first determining module is used for determining fault nodes in all nodes of the power distribution network to be evaluated based on the distribution network information and the fault information, and carrying out power distribution automation processing on the fault nodes;
the second acquisition module is used for acquiring power loss information of each node in the power distribution network to be evaluated, and determining an elasticity index based on the power loss information;
and the second determining module is used for determining the elasticity level of the power distribution network to be evaluated according to the elasticity index.
In order to solve the above technical problem, the present application further provides an electronic device, including:
a memory for storing a computer program;
a processor for implementing the steps of the elasticity assessment method of the power distribution network according to any one of the above when executing the computer program.
To solve the above technical problem, the present application further provides a readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the elasticity assessment method of the power distribution network according to any one of the above claims.
The application provides an elasticity assessment method of a power distribution network, which comprises the steps of determining fault nodes in the power distribution network to be assessed according to distribution network information and fault information of the power distribution network to be assessed, conducting power distribution automation processing on the fault nodes, determining elasticity indexes according to power loss information of each node in the power distribution automation processing, and assessing the elasticity level of the power distribution network to be assessed based on the elasticity indexes. According to the method and the device, the influence of distribution automation on the elasticity evaluation of the distribution network is comprehensively considered, and the comprehensiveness and reliability of the elasticity evaluation result of the distribution network are improved. The application also provides an elasticity evaluation system of the power distribution network, electronic equipment and a readable storage medium, and the elasticity evaluation system and the electronic equipment have the same beneficial effects as the elasticity evaluation method.
Drawings
For a clearer description of the embodiments of the present application, the drawings that are needed in the embodiments will be briefly described, it being apparent that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of steps of a method for evaluating elasticity of a power distribution network provided in the present application;
Fig. 2a is a schematic structural diagram of a power distribution network to be evaluated according to the present application;
fig. 2b is a schematic structural diagram of a power distribution network to be evaluated according to the present application;
fig. 3 is a schematic structural diagram of another power distribution network to be evaluated provided in the present application;
fig. 4 is a schematic structural diagram of another power distribution network to be evaluated provided in the present application;
fig. 5 is a schematic node division diagram of a power distribution network to be evaluated according to the present application;
FIG. 6 is a schematic diagram of a system function provided in the present application;
fig. 7 is a schematic structural diagram of an elasticity evaluation system of a power distribution network provided in the present application.
Detailed Description
The core of the application is to provide an elasticity evaluation method, an elasticity evaluation system, electronic equipment and a readable storage medium of a power distribution network, which can comprehensively consider the influence of power distribution automation on the elasticity evaluation of the power distribution network, and improve the comprehensiveness and reliability of the elasticity evaluation result of the power distribution network.
For the purposes of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
Referring to fig. 1, fig. 1 is a flowchart of steps of an elasticity evaluation method of a power distribution network provided in the present application, where the elasticity evaluation method includes:
s101: acquiring distribution network information and fault information corresponding to a distribution network to be evaluated;
the distribution network information includes, but is not limited to, topology information of the distribution network to be evaluated, the topology information includes, but is not limited to, electrical devices in the distribution network to be evaluated, including, but not limited to, switching devices, power generation devices, and the like, and specifically, referring to fig. 2a, fig. 2a is a schematic topology diagram of the distribution network to be evaluated, in fig. 2a, a black dot is used to represent a load, a QF is used to represent switching devices, and MT and PV are used to represent different power generation devices. The fault information includes, but is not limited to, a fault occurrence position and occurrence time, and it is understood that a fault situation of the power distribution network to be evaluated can be simulated by setting different fault information.
S102: determining fault nodes in all nodes of the power distribution network to be evaluated based on the distribution network information and the fault information, and performing power distribution automation processing on the fault nodes;
in order to simplify the analysis process and improve the evaluation efficiency, before executing the step, the method further comprises the operation of dividing each load in the power distribution network to be evaluated into a plurality of nodes, specifically, the positions of each switch device can be determined according to the distribution network information, then the node division is performed based on the positions of the switch devices, referring to fig. 2a, the method comprises the steps of dividing the voltage transformation device into a node I, dividing the loads L1 to L4 into a node II, dividing the loads L5 to L9 into a node III and dividing the loads L10 and L11 into a node IV according to the positions of the circuit breaker devices. The fault nodes in all the nodes can be determined according to the fault occurrence positions in the fault information, and the number of the fault nodes is determined according to the fault information, which is not particularly limited herein. Illustratively, if the fault information includes information corresponding to a line anomaly between the loads L3 and L4, the fault node is node II.
After determining the fault node, performing power distribution automation processing on the fault node, wherein the power distribution automation processing comprises feeder automation processing, and the feeder automation processing comprises but is not limited to processing operations such as fault positioning, fault isolation and recovery on non-fault areas.
S103: acquiring power loss information of each node in the power distribution network to be evaluated, and determining an elastic index based on the power loss information;
s104: and determining the elasticity level of the power distribution network to be evaluated according to the elasticity index.
It can be appreciated that in the process of performing power distribution automation processing on a fault node, when fault isolation is performed, a breaker at the upstream of the fault node needs to be opened, and as the breaker at the upstream of the fault node is opened, each load in the node at the downstream of the fault node is also in a power failure state until the non-fault node resumes power supply. In this embodiment, power loss information of each node in the power distribution automation processing process is obtained, and an elasticity index of the power distribution network to be evaluated is calculated based on the power loss information, so that an elasticity level of the power distribution network to be evaluated is determined according to the elasticity index.
It can be seen that, in this embodiment, according to the distribution network information and the fault information of the power distribution network to be evaluated, the fault node in the power distribution network to be evaluated is determined, and the power distribution automation processing is performed on the fault node, then the elasticity index is determined according to the power loss information of each node in the power distribution automation processing, and the elasticity level of the power distribution network to be evaluated is evaluated based on the elasticity index. According to the method and the device, the influence of distribution automation on the elasticity evaluation of the distribution network is comprehensively considered, and the comprehensiveness and reliability of the elasticity evaluation result of the distribution network are improved.
Based on the above embodiments:
as an optional embodiment, after acquiring the distribution network information and the fault information corresponding to the power distribution network to be evaluated, before determining the fault node in all the nodes of the power distribution network to be evaluated based on the distribution network information and the fault information, the elasticity evaluation method further includes:
determining the position of each breaker in the power distribution network to be evaluated based on the distribution network information;
dividing the power distribution network to be evaluated into a plurality of nodes according to each position;
establishing association relation between each node and the upstream circuit breaker;
correspondingly, the power distribution automation processing process for the fault node comprises the following steps:
and carrying out power distribution automation processing on the fault node based on the association relation and the fault information.
Specifically, node division is performed on a power distribution network to be evaluated according to the positions of breaker equipment in distribution network information, a node-breaker model of a system is established, namely, the association relation between each node and the breaker at the upstream of the node-breaker model is established, so that the analysis process of the switching equipment and feeder automation modes of the power distribution network is simplified, a power distribution network is assumed to contain N breakers, the power distribution network is divided into M nodes according to the positions of the breakers altogether, the line where the switching equipment is located is regarded as a communication line between the nodes, a node-breaker association matrix H can be established to represent the corresponding relation between each node and the breaker at the upstream of the node in the power distribution network to be evaluated, and the number of rows and the number of columns of the matrix H are N and M respectively. If the upstream breaker of the partition n is the breaker m, the element H in the correlation matrix H mn =1, otherwise H mn Taking the power distribution network to be evaluated shown in fig. 2a as an example, the node-breaker association matrix of the power distribution network to be evaluated is:
H 12 ＝H 23 ＝H 34 =1 indicates that the circuit breakers QF1, QF2, QF3 are upstream circuit breakers of node II, node III, node IV, respectively, node II fails, circuit breaker QF1 trips, node III fails, circuit breaker QF2 trips; node IV fails and the breaker QF3 trips.
By adopting the scheme of the embodiment, after the fault node is determined, the circuit breaker at the upstream of the fault node can be rapidly determined, so that the efficiency of distribution automation processing is improved.
As an alternative embodiment, the process of performing power distribution automation processing on the fault node based on the association relationship and the fault information includes:
controlling a breaker at the upstream of the fault node to be opened so as to isolate the fault node;
judging whether a node downstream of the fault node is configured with a tie switch or not according to the distribution network information;
if yes, the contact switch is controlled to be conducted so that the node downstream of the fault node can restore power supply.
It can be understood that after determining the fault node, in order to isolate the fault node, the operation is performed to control the circuit breaker at the upstream of the fault node to be opened, at this time, the node at the downstream of the fault node is correspondingly isolated and loses power, based on the distribution network information, it is determined whether a tie switch is provided in the distribution network to be evaluated, two ends of the tie switch are respectively connected with two nodes, and the two nodes are not in the relationship of the upstream node and the downstream node, if the node at the downstream of the fault node is configured with the tie switch, the tie switch is controlled to be turned on, so that the node at the downstream of the fault node is recovered to supply power, thereby realizing that only the fault node is isolated.
For example, referring to fig. 2b, assuming that there is a problem of abnormal line between the load L5 and the load L6, the fault node is node III, at this time, the circuit breaker QF2 is controlled to be opened to isolate node III, but after the circuit breaker QF2 is opened, the non-fault node IV downstream of node III is also correspondingly isolated, at this time, if the tie switch LS is configured between node II and node IV, the LS is controlled to be turned on, so as to restore the power supply of node IV, thereby implementing the power distribution automation process for the fault node.
As an optional embodiment, the process of obtaining the power loss information of each node in the power distribution network to be evaluated includes:
determining a feeder automation mode of the power distribution network to be evaluated based on the distribution network information;
and acquiring the power loss information of each node in the power distribution network to be evaluated according to the feeder automation mode.
It can be understood that the distribution network information also comprises information corresponding to the current feeder automation mode of the power distribution network to be evaluated, and feeder automation can be divided into centralized, in-situ coincident and intelligent distributed according to the information processing mode. The three feeder automation modes have large differences in power supply areas, grid structures and characteristics, and the pairs of the three feeder automation mode schemes are shown in table 1.
Table 1 feeder automation protocol comparison table
| Centralized type | In-situ coincident | Intelligent distributed type | |
| Power supply area | Class a+, A, B, C region | B. C, D class area | B. C, D class area |
| Grid structure | Overhead cable | Overhead | Overhead cable |
The characteristics of the centralized feeder automation mode include: the flexibility is high, the adaptability is strong, the switching operation times are few, a communication network with high reliability and high real-time performance is required, and all power distribution network fault processing functions such as fault positioning, isolation, non-fault area recovery and the like can be realized; the in-situ coincident automation mode is characterized by comprising the following steps: fault positioning and isolation can be completed on site by self, and terminal fixed values are required to be adjusted after the line operation mode is changed; the intelligent distributed automation mode is characterized by comprising the following steps: the rapid fault processing, millisecond positioning and isolation, second-level power supply recovery, small power failure area, simple fixed value setting, but higher communication reliability and real-time performance are required.
It can be understood that in different feeder automation modes, the power failure duration of the load in each node is different, and referring to fig. 3, the power failure duration of each load node of the non-fault node is analyzed for the action process of the different feeder automation modes.
Specifically, for the centralized feeder automation mode, after the fault occurs, the fault information is uploaded to the master station, and the switching-on and switching-off of the switch equipment is further controlled according to the judgment of the master station, so that the fault location, isolation and recovery of a non-fault area are realized. When the fault K 1 When the fault occurs, the breaker 1 is disconnected, the terminal uploads fault information to the main station, the main station realizes fault positioning through information processing, and the sectionalized switch FS is disconnected 13 And FS 14 Realizing fault isolation and finally closing the contact switch LS 1 Realizing non-fault area load L 15 Is provided. In this mode, the power outage duration calculation relation for a specific load is as follows:
wherein Ω up 、Ω down Representing a fault upstream node and a fault downstream node set respectively; t (T) z 、T d 、T l The information processing time of the main station, the reclosing time of the breaker and the reclosing time of the tie switch are respectively.
Specifically, aiming at a voltage time type on-site coincident feeder automation mode, the mode mainly realizes fault isolation and recovery of non-fault areas through action coordination of a breaker, a sectionalizer and a tie switch. When the fault K 1 When the circuit breaker 1 is opened, the circuit breaker is re-closed after the closing time of the circuit breaker 1, FS 11 、FS 12 And FS 13 Respectively realize closing after corresponding closing time, FS 13 The circuit breaker 1 is opened again at the moment of closing, FS 13 Latching, circuit breaker 1, FS 11 And FS 12 Reclosing after respective closing waiting time, realizing power supply of fault upstream non-fault area, and disconnecting FS 14 Closed LS 1 Realizing power restoration of non-fault area downstream of fault, and calculating power failure time length of load of each node in the modeThe formula is as follows:
wherein T is f The reclosing time of the sectional switch; t (T) f,k The last segment switch closing time upstream of the fault.
Specifically, for a fast-acting intelligent distributed feeder automation mode, the mode refers to that after a fault occurs, a breaker is not disconnected, isolation of a non-fault area can be realized only by means of mutual communication between terminals, and when a fault K occurs 1 When the circuit breaker happens, the FS can be disconnected only by means of mutual communication between terminals without disconnection 13 And FS 14 Isolation of fault areas is achieved, and LS is further closed 1 And realizing the load re-electrification of the non-fault area at the downstream of the fault. The non-fault area only has the power failure condition of the fault downstream load, and the power failure time length of the fault downstream load is calculated as follows:
T i ＝∑T l,i ,i∈Ω down 。
as an optional embodiment, the process of obtaining power loss information of each node in the power distribution network to be evaluated and determining the elasticity index based on the power loss information includes:
Acquiring power loss information of each node in the power distribution network to be evaluated, and determining a first elastic index corresponding to a power distribution automation processing process based on the power loss information;
and/or the number of the groups of groups,
and acquiring power loss information of each node in the power distribution network to be evaluated, and determining a second elastic index corresponding to a power distribution automation processing result based on the power loss information.
In this implementation, the elastic indexes of the switch device and the feeder automation mode are considered to include two layers of power distribution automation processing process and power distribution automation processing result, wherein the process layer elastic indexes, namely the first elastic index, are used for describing the elasticity level of the power distribution network in the switch device and the feeder automation mode process, and the result layer elastic indexes, namely the second elastic index, are used for describing the elasticity level of the power distribution network in the switch device and the feeder automation mode result, wherein the first elastic indexes include, but are not limited to, indexes such as important load average power failure time length in a non-fault area, average power failure times of a system, power generation loss of a distributed power supply and the like, and the second elastic indexes include, but are not limited to, indexes such as active power shortage of the system, maximum load loss proportion, average load loss speed and the like.
As an optional embodiment, the process of obtaining the power loss information of each node in the power distribution network to be evaluated includes:
Acquiring the power loss time of each load in each non-fault node of the power distribution network to be evaluated, the power failure times of each node and the power generation loss of the nodes comprising distributed power generation in the power distribution automation processing process; the non-fault node is a node except the fault node in the power distribution network to be evaluated;
accordingly, the process of determining a first elasticity index corresponding to the power distribution automation process based on the power loss information includes:
calculating the average power failure time of the important load of the non-fault area based on each power failure time;
calculating the average power failure times of the system based on the power failure times;
calculating the power generation loss of a distributed power supply in the power distribution network to be evaluated based on the power generation loss;
and determining the average power failure time of the important load of the non-fault area, the average power failure times of the system and the power generation loss of the distributed power supply as a first elasticity index.
Specifically, the average power failure time length of the important load of the non-fault area is defined as the ratio of the sum of the short power failure time lengths of the important load of the non-fault area to the important load of the non-fault area in the action logic process of feeder automation, the index represents the efficiency of the feeder automation in realizing fault isolation and the recovery of the important load of the non-fault area, the influence of different feeder automation modes on the elasticity level is reflected from the process level, and the calculation relational expression is as follows:
Wherein,,
average power failure time length for important loads in non-fault areas; omega shape B A set of important nodes for a non-fault area; p (P) load,j The active power of the load of the node j; t (T) loss,j The power failure duration of the node j.
Specifically, the average power failure times of the system is defined as the ratio of the power failure times of all nodes of the system to the number of nodes in the action logic process of feeder automation, the index represents the average power failure times suffered by each user powered by the system in the action logic process of feeder automation, the influence of different feeder automation modes on the elasticity level is reflected from the process level, and the calculation relational expression is as follows:
wherein T is ai Average power failure times of the system; t is the time number, and N is the total number of system load nodes.
Specifically, the distributed power generation loss is defined as the sum of the generated energy of distributed power generation at all times due to system fault loss, the index reveals the distributed power generation operation condition in the fault process of the power distribution automation equipment from the process level, and the calculation relational expression is as follows:
wherein,,
generating a loss amount for the distributed power supply; omega shape G Is a node set containing distributed power generation.
As an optional embodiment, after obtaining the power loss information of each node in the power distribution network to be evaluated, the elasticity evaluation method further includes:
Determining a system function curve based on each piece of power loss information;
correspondingly, the process of determining the second elastic index corresponding to the power distribution automation processing result based on the power loss information comprises the following steps:
calculating the active power shortage amount, the maximum load loss proportion and the average load loss speed of the system according to the system function curve;
and determining the active power shortage amount, the maximum load loss ratio and the average load loss speed of the system as a second elasticity index.
Specifically, after repair is completed, according to the obtained power loss information of each node in the power distribution network to be evaluated, the active power value of the load without power loss in the power distribution network to be evaluated can be obtained, a system function curve is determined based on the active power value of the load without power loss, and the active power shortage, the maximum load loss ratio and the average load loss speed of the system can be calculated by using the system function curve. It can be understood that, first, a preset repair time can be determined according to a feeder automation mode and configuration information of switching devices in the power distribution network to be evaluated, and when the current time reaches the preset repair time, a system function curve is determined based on a load active power value without power loss.
Specifically, the active power shortage of the system is defined as the difference between the integral values of the system function curve under the condition of no disaster and the system function curve under the condition of extreme disaster, the system function is taken as a load value in the embodiment, the index reveals the load loss in the whole process of encountering the extreme disaster event from the result level, the vulnerability of the whole distribution network is reflected, and the calculation relational expression is as follows:
Wherein I is PD Is the maximum load loss rate; t (T) 0 T is the initial time and the final time of encountering an extreme disaster event respectively; q (Q) R 、Q 1 The system function curve is an ideal state system function curve and a function curve under actual conditions.
Specifically, the maximum load loss ratio is defined as the ratio of the system load amount under the worst fault condition to the system load amount under the fault condition, and the index describes the system toughness of the automatically accessed power distribution network under the fault condition from the result level, and the calculation relational expression is as follows:
wherein Ra is the maximum load loss ratio; omega shape N Collecting all load nodes of the system; ΔP load,j The amount of active power loss for the load of node j.
Specifically, the average load loss speed is defined as the ratio of the total load loss to the time of the load loss process, the index refers to the speed of the system losing the load under the influence caused by the failure to fully absorb the disaster, the robustness of the power distribution network is reflected from the result level, and the calculation relational expression is as follows:
wherein V is SLL Is the load loss rate; t (T) e For the duration of the off-load process.
For example, referring to fig. 4, in the power distribution network to be evaluated, the loads 3, 5, 14, 22, 28 are important loads, and the rest are normal loads. The wind power generation device with rated capacity of 300kW is connected to the load 23, and the miniature gas turbine sets are connected to the loads 4 and 13, wherein the rated capacity is 500kW and 600kW respectively; the loads 8 and 22 are respectively connected with photovoltaic power generation devices with rated capacity of 550kW, the photovoltaic power generation devices and the wind power generation devices can run off-grid after the system fails, and the micro gas turbine unit can continue to be connected with the system after the system fails.
The power distribution network to be evaluated comprises 9 circuit breakers, the access positions are represented by forks in fig. 4, a node-circuit breaker model is shown in fig. 5, the power distribution network to be evaluated is divided into 9 nodes according to the positions of the circuit breakers, 3 interconnecting switches are respectively positioned between a load 25 and a load 32, between a load 18 and a load 33 and between a load 13 and a load 22, the closing time of the circuit breakers is 5s, the closing time of the interconnecting switches is 7s, and the information processing time of a main station is 2min. The node-associated matrix of the power distribution network is shown in the following formula, and it can be known from the node-associated matrix that the forward circuit breaker corresponding to each node is the circuit breaker with the same node serial number, namely, when the partition m fails, the circuit breaker m is opened:
in this embodiment, the fault scenario is taken as that a large-scale fault occurs in the power distribution network under the influence of extreme typhoon weather, and time 2: the line between the loads 10-11 fails; time 3: the line between the loads 6-7 fails; time 4: the line between the loads 19-20 fails; time 5: the line between the loads 30-31 fails, and the repair of the failed line is started at the moment 6, only one line is repaired at each moment, and the repair sequence of the failed line is consistent with the fault sequence of the line.
The three scenes of no automation equipment, only a breaker, the breaker and a tie switch in the power distribution network are respectively simulated and analyzed. Fig. 6 shows power distribution network function curves under three conditions, wherein the ordinate represents the active power value of the load of the power distribution network, the abscissa represents the moment, line faults occur at the moment 2-5, partial load is in a power failure phenomenon, the system function curve shows a descending trend, the fault line is repaired step by step from the moment 6, and the system function curve is lifted, so that the system function curves under 3 scenes all show a trend of decreasing before increasing. As can be seen from fig. 6, the system functions at each moment in the scenario without distribution automation equipment are all minimal, the scenario with only circuit breakers centered, the system functions at each moment in the curves with circuit breakers and tie switch scenarios are maximal, and the overall curve is uppermost. The relevant elasticity indexes under three scenes are calculated from the above results and are shown in table 2.
Table 2 different switch access scene elasticity index calculation results
Comparing the scene of the automatic equipment without power distribution with the scene of the automatic equipment with power distribution, the system active power shortage of the scene system without power distribution is 26.005MWh, the system active power shortage is reduced to 12.495MWh by the access of the circuit breaker in scene 2 (only including the circuit breaker), the system active power shortage of the scene 3 (including the circuit breaker and the contact switch) is 9.545MWh, and the system power shortage caused by the extreme event can be effectively reduced by the access of the automatic equipment with power distribution, so that the elasticity level of the power distribution network for coping with the extreme event is improved. Meanwhile, the maximum load loss ratio of the scene 1 (without distribution automation equipment) is 100%, the maximum load loss ratio of the scene 2 and the scene 3 is 69.9%, the calculation results of the scenes 1, 2 and 3 are 3.715MW/h, 0.865MW/h and 0.649MW/h respectively in terms of the average load loss speed index, the maximum load loss ratio and the average load loss speed can be effectively reduced by the access of the distribution automation equipment, and the toughness of the distribution network under an extreme event is improved. Comparing the scene 2 and the scene 3 elastic index calculation results, the tie switch can realize the transfer of the load under the condition of system fault, so that the access of the tie switch can effectively reduce the active power shortage of the system and improve the extreme event coping capacity of the power distribution network.
Specifically, the power outage duration of each load node in the non-fault area in the different modes is calculated by referring to the mode described above, and the calculation results of the relevant elasticity indexes in the three feeder automation modes are shown in table 3.
TABLE 3 calculation results of elasticity indicators for different feeder automation modes
The power failure time of a non-fault area of a system is 260 seconds due to the fact that the information processing time of a master station of one minute level exists in a mode 1 (centralized feeder automation mode), and the power supply of the non-fault area can be directly achieved through communication of a terminal in a mode 3 (quick-action intelligent distributed feeder automation mode), so that the power failure time of the non-fault area is only 11.5 seconds in the mode, a switch needs to be overlapped for many times in a mode 2 (voltage time type on-site overlapped feeder automation), the average power failure time of loads of the non-fault area is 51.5 seconds, the power supply of the non-fault area can be affected to the minimum extent by comparing the average power failure time of loads of the non-fault area of the three modes, the mode 3 can be affected by the power supply of the non-fault area in a fault recovery process, the load power supply of the non-fault area can be greatly affected by the mode 1 for 2 times; the average power failure times of the system in the scenes of the mode 1 and the mode 3 are 0.42 times, and the average power failure times of the system in the mode 2 are 0.84 times, which is caused by the fact that the mode 2 can be reclosed for a plurality of times to cause a plurality of short power failures; as can be seen from comparison of the distributed power generation loss amounts under the three modes, the loss amount of the distributed power generation can be reduced to the greatest extent in the mode 3, the maximum loss amount of the distributed power generation is 61.4MWh in the mode 1, the distributed power generation loss amount is 6.4MWh in the mode 2. The calculation result of the elastic index shows that in three feeder automation modes, the capacity of the power distribution network to cope with extreme events in the quick-action intelligent distributed feeder automation mode is optimal, the number of power failures of the centralized feeder automation mode is smaller than that of the voltage time type on-site coincident feeder automation mode, and the other two elastic indexes are worst, so that the elasticity level of the power distribution network in the centralized feeder automation mode is worst, and the capacity of the power distribution network to cope with extreme events in the voltage time type on-site coincident feeder automation mode is at an intermediate level in the three modes.
In summary, the elasticity evaluation method of the power distribution network provided by the application considers the influence of power distribution automation access, analyzes the action logic process of the access and feeder automation modes of power distribution automation equipment, realizes system node division, constructs a node-breaker association matrix convenient for fault analysis, evaluates the elasticity level of the power distribution network by using elasticity evaluation indexes including results and process two layers, can reflect the running state of the power distribution network in extreme disaster events more truly, and judges the coping capability of the power distribution network when coping with the extreme disaster events. The switching-in of the distribution automation equipment can effectively realize isolation of fault areas and power restoration of non-fault areas, active power shortage of the distribution network during extreme disaster events is reduced, extreme disaster event coping capacity of the distribution network is improved. Further, after an extreme disaster event occurs, the difference exists in the transient power failure duration of a non-fault area caused by the equipment action sequence under different feeder automation modes, and the three feeder automation modes of centralized feeder automation, voltage time type on-site superposition type feeder automation and quick-action intelligent distributed feeder automation are considered and compared, so that the quick-action intelligent distributed feeder automation has the greatest promotion effect on the elasticity level, and the centralized feeder automation has the weakest promotion effect, so that guidance can be provided for the feeder automation mode selection of power distribution automation construction.
In a second aspect, referring to fig. 7, fig. 7 is a schematic structural diagram of an elasticity evaluation system of a power distribution network provided in the present application, where the elasticity evaluation system includes:
the first obtaining module 71 is configured to obtain distribution network information and fault information corresponding to the power distribution network to be evaluated;
a first determining module 72, configured to determine a fault node among all nodes of the power distribution network to be evaluated based on the power distribution network information and the fault information, and perform power distribution automation processing for the fault node;
the second obtaining module 73 is configured to obtain power loss information of each node in the power distribution network to be evaluated, and determine an elasticity index based on the power loss information;
a second determining module 74 is configured to determine an elasticity level of the power distribution network to be evaluated according to the elasticity index.
It can be seen that, in this embodiment, according to the distribution network information and the fault information of the power distribution network to be evaluated, the fault node in the power distribution network to be evaluated is determined, and the power distribution automation processing is performed on the fault node, then the elasticity index is determined according to the power loss information of each node in the power distribution automation processing, and the elasticity level of the power distribution network to be evaluated is evaluated based on the elasticity index. According to the method and the device, the influence of distribution automation on the elasticity evaluation of the distribution network is comprehensively considered, and the comprehensiveness and reliability of the elasticity evaluation result of the distribution network are improved.
As an alternative embodiment, the elasticity assessment system further comprises:
the third determining module is used for determining the positions of all the circuit breakers in the power distribution network to be evaluated based on the distribution network information;
the dividing module is used for dividing the power distribution network to be evaluated into a plurality of nodes according to each position;
the establishing module is used for establishing the association relation between each node and the upstream circuit breaker;
correspondingly, the power distribution automation processing process for the fault node comprises the following steps:
and carrying out power distribution automation processing on the fault node based on the association relation and the fault information.
As an alternative embodiment, the process of performing power distribution automation processing on the fault node based on the association relationship and the fault information includes:
controlling a breaker at the upstream of the fault node to be opened so as to isolate the fault node;
judging whether a node downstream of the fault node is configured with a tie switch or not according to the distribution network information;
if yes, the contact switch is controlled to be conducted so that the node downstream of the fault node can restore power supply.
As an optional embodiment, the process of obtaining the power loss information of each node in the power distribution network to be evaluated includes:
determining a feeder automation mode of the power distribution network to be evaluated based on the distribution network information;
And acquiring the power loss information of each node in the power distribution network to be evaluated according to the feeder automation mode.
As an optional embodiment, the process of obtaining power loss information of each node in the power distribution network to be evaluated and determining the elasticity index based on the power loss information includes:
acquiring power loss information of each node in the power distribution network to be evaluated, and determining a first elastic index corresponding to a power distribution automation processing process based on the power loss information;
and/or the number of the groups of groups,
and acquiring power loss information of each node in the power distribution network to be evaluated, and determining a second elastic index corresponding to a power distribution automation processing result based on the power loss information.
As an optional embodiment, the process of obtaining the power loss information of each node in the power distribution network to be evaluated includes:
acquiring the power loss time of each load in each non-fault node of the power distribution network to be evaluated, the power failure times of each node and the power generation loss of the nodes comprising distributed power generation in the power distribution automation processing process; the non-fault node is a node except the fault node in the power distribution network to be evaluated;
accordingly, the process of determining a first elasticity index corresponding to the power distribution automation process based on the power loss information includes:
calculating the average power failure time of the important load of the non-fault area based on each power failure time;
Calculating the average power failure times of the system based on the power failure times;
calculating the power generation loss of a distributed power supply in the power distribution network to be evaluated based on the power generation loss;
and determining the average power failure time of the important load of the non-fault area, the average power failure times of the system and the power generation loss of the distributed power supply as a first elasticity index.
As an alternative embodiment, the elasticity assessment system further comprises:
the fourth determining module is used for determining a system function curve based on the power-loss information;
correspondingly, the process of determining the second elastic index corresponding to the power distribution automation processing result based on the power loss information comprises the following steps:
calculating the active power shortage amount, the maximum load loss proportion and the average load loss speed of the system according to the system function curve;
and determining the active power shortage amount, the maximum load loss ratio and the average load loss speed of the system as a second elasticity index.
In a third aspect, the present application further provides an electronic device, including:
a memory for storing a computer program;
a processor for implementing the steps of the elasticity assessment method of the power distribution network as described in any one of the embodiments above when executing a computer program.
For an introduction to an electronic device provided in the present application, reference is made to the foregoing embodiments, and the description is omitted herein.
The electronic equipment has the same beneficial effects as the elasticity evaluation method of the power distribution network.
In a fourth aspect, the present application further provides a readable storage medium, on which a computer program is stored, which when executed by a processor implements the steps of the elasticity assessment method of a power distribution network as described in any one of the embodiments above.
For an introduction to a readable storage medium provided in the present application, reference is made to the above embodiments, and the description thereof is omitted herein.
The readable storage medium has the same beneficial effects as the elasticity evaluation method of the power distribution network.
It should also be noted that in this specification, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A method for evaluating elasticity of a power distribution network, comprising:
acquiring distribution network information and fault information corresponding to a distribution network to be evaluated;
determining fault nodes in all nodes of the power distribution network to be evaluated based on the distribution network information and the fault information, and performing power distribution automation processing on the fault nodes;
acquiring power loss information of each node in the power distribution network to be evaluated, and determining an elasticity index based on the power loss information;
and determining the elasticity level of the power distribution network to be evaluated according to the elasticity index.
2. The method for evaluating the elasticity of the power distribution network according to claim 1, wherein after the obtaining of the power distribution network information and the fault information corresponding to the power distribution network to be evaluated, before determining the fault node in all the nodes of the power distribution network to be evaluated based on the power distribution network information and the fault information, the method for evaluating the elasticity further comprises:
Determining the position of each breaker in the power distribution network to be evaluated based on the distribution network information;
dividing the power distribution network to be evaluated into a plurality of nodes according to the positions;
establishing association relations between each node and the circuit breaker at the upstream of the node;
correspondingly, the power distribution automation processing process for the fault node comprises the following steps:
and carrying out power distribution automation processing on the fault node based on the association relation and the fault information.
3. The method for evaluating the elasticity of a power distribution network according to claim 2, wherein the process of performing power distribution automation processing on the fault node based on the association relation and the fault information comprises:
controlling the circuit breaker upstream of the fault node to open so as to isolate the fault node;
judging whether a node downstream of the fault node is configured with a tie switch or not according to the distribution network information;
if yes, the contact switch is controlled to be conducted so that the node downstream of the fault node can restore power supply.
4. The method for evaluating the elasticity of the power distribution network according to claim 1, wherein the process of obtaining the power loss information of each node in the power distribution network to be evaluated comprises:
Determining a feeder automation mode of the power distribution network to be evaluated based on the distribution network information;
and acquiring the power loss information of each node in the power distribution network to be evaluated according to the feeder automation mode.
5. The method for evaluating the elasticity of a power distribution network according to any one of claims 1 to 4, wherein the process of obtaining the power loss information of each node in the power distribution network to be evaluated and determining the elasticity index based on the power loss information includes:
acquiring power loss information of each node in the power distribution network to be evaluated, and determining a first elastic index corresponding to the power distribution automation processing process based on the power loss information;
and/or the number of the groups of groups,
and acquiring power loss information of each node in the power distribution network to be evaluated, and determining a second elastic index corresponding to the power distribution automation processing result based on the power loss information.
6. The method for evaluating the elasticity of a power distribution network according to claim 5, wherein the process of obtaining the power loss information of each node in the power distribution network to be evaluated comprises:
acquiring the power loss time of each load in each non-fault node of the power distribution network to be evaluated, the power failure times of each node and the power generation loss of the nodes including distributed power generation in the power distribution automation processing process; the non-fault node is the node except the fault node in the power distribution network to be evaluated;
Accordingly, the process of determining a first elasticity index corresponding to the process of power distribution automation processing based on the power loss information includes:
calculating the average power failure time of the important load of the non-fault area based on each power failure time;
calculating the average power failure times of the system based on the power failure times;
calculating the power generation loss of a distributed power supply in the power distribution network to be evaluated based on each power generation loss;
and determining the average power-off duration of the important load of the non-fault area, the average power-off times of the system and the power generation loss of the distributed power supply as the first elasticity index.
7. The method for evaluating the elasticity of a power distribution network according to claim 5, wherein after obtaining the power loss information of each node in the power distribution network to be evaluated, the method for evaluating the elasticity further comprises:
determining a system function curve based on each piece of power loss information;
correspondingly, the process of determining the second elasticity index corresponding to the power distribution automation processing result based on the power loss information comprises the following steps:
calculating the active power shortage amount, the maximum load loss proportion and the average load loss speed of the system according to the system function curve;
and determining the system active power shortage, the maximum load loss ratio and the average load loss speed as the second elasticity index.
8. An elasticity evaluation system of a power distribution network, comprising:
the first acquisition module is used for acquiring distribution network information and fault information corresponding to the power distribution network to be evaluated;
the first determining module is used for determining fault nodes in all nodes of the power distribution network to be evaluated based on the distribution network information and the fault information, and carrying out power distribution automation processing on the fault nodes;
the second acquisition module is used for acquiring power loss information of each node in the power distribution network to be evaluated, and determining an elasticity index based on the power loss information;
and the second determining module is used for determining the elasticity level of the power distribution network to be evaluated according to the elasticity index.
9. An electronic device, comprising:
a memory for storing a computer program;
processor for implementing the steps of the elasticity assessment method of the power distribution network according to any one of claims 1-7 when executing said computer program.
10. A readable storage medium, characterized in that the readable storage medium has stored thereon a computer program which, when executed by a processor, implements the steps of the elasticity assessment method of a power distribution network according to any one of claims 1-7.
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