CN117293827B - Wiring mode scale configuration method and system integrating snowflake network and electronic equipment - Google Patents
Wiring mode scale configuration method and system integrating snowflake network and electronic equipment Download PDFInfo
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Abstract
The invention provides a method, a system and electronic equipment for configuring a wiring mode scale of a fused snowflake network in the technical field of data processing for power grid management and supervision, wherein the method comprises the steps of acquiring power supply reliability evaluation values under different distribution terminal configurations of a wiring mode of the snowflake network and a looped network wiring mode, and acquiring corresponding power supply reliability targets under different power supply subareas; according to the acquired power supply reliability evaluation value and the power supply reliability target, selecting a snowflake network wiring mode and a looped network wiring mode to form a power distribution network combination set; the method comprises the steps of taking a power supply partition reliability development target as constraint, determining a combination of a snowflake network and a looped network type wiring, and forming a combination set; and taking the combination with the smallest investment scale in the combination set as the configuration of the power supply subareas of the corresponding different classes. The invention effectively considers the differential configuration of the snowflake network and the traditional power distribution network, and has the advantages of small engineering difficulty and low investment.
Description
Technical Field
The invention belongs to the technical field of data processing for power grid management and supervision, and particularly relates to a method, a system and electronic equipment for wire mode scale configuration of a fused snowflake network.
Background
The current power supply network has large scale and complete configuration, and has high requirements on safety and reliability in the power supply process. The existing power supply network basically meets the requirements of safety and reliability.
With the development of technology and the continuous improvement of user demands, the functions and the forms of the power distribution network are also changed obviously. Optimizing and lifting on the basis of the existing networking structure and transitioning to the novel power distribution system target net rack become the problem that needs to be concerned at the present stage. If the jump-in full-disc pushes over the current distribution network structure, a new distribution network is rebuilt, so that a great deal of investment waste and repeated construction are brought. The method is better in that on the basis of the existing power distribution network construction, the utilization efficiency of each device in a power distribution network, the flexible transfer capacity of the power distribution network frame and the distributed power supply consumption capacity are improved through comprehensive inheritance and optimization adjustment, the quality crossing of the power distribution network is realized, and the aim of carbon emission reduction is fulfilled.
With the above limitations and objects in mind, a snowflake network power distribution network (for example, related description is made in a patent with publication number CN115189355A, CN116780521 a) is an innovative networking mode based on a conventional ring network structure, i.e., a single ring network and a double ring network. In a snowflake network, through carrying out in-station connection on two side lines of a ring network, namely a single ring network and a double ring network, a transfer path is enhanced, and the power supply reliability, the power supply safety level, the power grid efficiency benefit, the high-quality service and the like are obviously improved.
In the face of the power distribution networking mode integrating the traditional power distribution network and the novel snowflake network, a combination optimization configuration method of an alternative wiring mode taking a target as a guide is lacking at present, and a principle of no difference is basically adopted in actual operation, namely, the existing wiring mode is modified into a snowflake network structure without difference. In this way, the association relation between the snowflake network scale and different types of power supply partition configuration targets is not fully quantitatively analyzed, so that the problems of large engineering difficulty, long time span and difficult optimization of investment are brought.
Therefore, a method for combining a snowflake network with a traditional power distribution network is needed, and the wiring mode of the snowflake network can be configured in a large scale under the condition of considering reliability.
Disclosure of Invention
In order to solve the problems, the present disclosure provides a wiring mode scale configuration method and system for integrating snowflake network networking, which effectively considers the differential configuration of the snowflake network and the traditional power distribution network, and has the advantages of small engineering difficulty and low investment.
The present disclosure provides a method for wire-pattern scale configuration of a converged snowflake network, the method comprising,
acquiring power supply reliability evaluation values under different distribution terminal configurations of a snowflake network wiring mode and a looped network wiring mode, and acquiring corresponding power supply reliability targets under different power supply partitions;
according to the acquired power supply reliability evaluation value and the power supply reliability target, selecting a snowflake network wiring mode and a looped network wiring mode to form a power distribution network combination set;
the method comprises the steps of taking a power supply partition reliability development target as constraint, determining a combination of a snowflake network and a looped network type wiring, and forming a combination set;
and taking the combination with the smallest investment scale in the combination set as the configuration of the power supply subareas of the corresponding different classes.
Optionally, the power supply reliability evaluation value is a user average power failure hour number T Σ Wherein, the method comprises the steps of, wherein,
according to the number H of power failure hours of line fault users 1 Failure user of switch facility has power failure hour number H 2 Power failure hour number H of distribution transformer facility fault user 3 The number of fault outage hours K in the preset time is used for determining the number of average power outage hours T Σ 。
Alternatively, the process may be carried out in a single-stage,
wherein,
wherein l is 1, 2 or 3; h 1 Number of power outage time units H for line fault 2 Number of power failure time units H for failure of switch facilities 3 The number of power failure time units with power distribution fault, N1 is feeder F 1 The number of feeder line segments lambda i Is a feeder F 1 Annual average failure rate of feeder segment i, n j Is a feeder F 1 The number of users in feeder segment j, nn is feeder F n The number of feeder line segments lambda ’ i Is a feeder F n Annual average failure rate of feeder segment i, n j ’ Is a feeder F n The number of users, t, in feeder segment j ’ ij Is a feeder F n Each fault of the feeder section i causes a feederThe duration of the load outage within segment j.
Optionally, the distribution terminal configuration comprises intelligent distributed three-tele, centralized three-tele and standard two-tele; the power partition categories include a+, a, and B.
Optionally, at most two wiring modes are provided in the power supply area; the A+ type power supply partition is configured with intelligent distributed three-tele and centralized three-tele, the lowest configuration standard of the A type power supply partition is centralized three-tele, and the lowest configuration standard of the B type power supply partition is standard two-tele.
Optionally, according to the obtained power supply reliability evaluation value and the power supply reliability target, selecting a snowflake network wiring mode and a looped network wiring mode to form a power distribution network combination set, specifically,
according to the reliability target of the power supply partition, selecting snowflake net wiring which is larger than the reliability target value and has the smallest difference value of the target value; and selecting looped network type wiring smaller than the reliability target value to form a combined set.
Optionally, determining the snowflake network wiring mode household average power failure duration according to the household average power failure duration of the snowflake network, the ring network household average power failure duration and the ratio of the snowflake network wiring mode.
Optionally, determining the power-off duration of the snowflake network wiring mode user according to the following formula,
in the method, in the process of the invention,s-type power supply subarea snowflake network wiring mode user average power failure time length +.>The method comprises the steps of configuring self-configured user average power failure time length for the ith class of the snowflake network, wherein i=1 is intelligent distributed three-tele, i=2 is centralized three-tele, and i=3 is standard two-tele; />A self-configured user average power failure time length is allocated for the double-ring network type i; />The wiring mode of the snowflake net is the duty ratio; l (L) A The power supply radius of the snowflake net is provided; l (L) B The power supply radius is double-loop net type.
Optionally, after the combined set is formed,
according to T s Determining all combination sets of A+, A and B type power supply areas meeting reliability targets, eliminating combinations with scale ratio indexes smaller than zero, and using the rest combinations as alternative combinations; and if all the combination scale duty ratio indexes in the combination set are smaller than zero, exiting the analysis of the power supply partition.
The present disclosure also provides a patch mode scale configuration system for a converged snowflake network, the system comprising,
the acquisition unit is configured to acquire power supply reliability evaluation values under different distribution terminal configurations of a snowflake network wiring mode and a looped network wiring mode, and acquire corresponding power supply reliability targets under different power supply partitions;
the combined set unit is configured to select a snowflake network wiring mode and a looped network wiring mode according to the acquired power supply reliability evaluation value and the power supply reliability target to form a power distribution network combined set; the method comprises the steps of taking a power supply partition reliability development target as constraint, determining a combination of a snowflake network and a looped network type wiring, and forming a combination set;
and a configuration unit configured to configure a combination with a minimum investment scale in the combination set as a configuration corresponding to the different kinds of power supply partitions.
The present disclosure also provides an electronic device comprising at least one processor and at least one memory, the memory being in data connection with the processor, wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of the preceding claims.
Compared with the prior art, the method has the following advantages:
the method calculates and acquires the snowflake network wiring scale configuration indexes meeting the reliability target requirements of various power supply partitions and different distribution automation configuration modes, is used for building the wiring mode scale of different power supply partitions, has more practical guiding significance, and can provide intentional support for scientific and reasonable development decisions of the snowflake network.
Aiming at reasonable scale configuration of snowflake network wiring on the basis of the current power distribution network wiring mode, the current decision mode is mainly 100% of the 'one-cut' configuration, a strong association relation is not established with a power supply partition power supply reliability target, and unreasonable problems such as excessive construction, huge investment, difficult construction and implementation are easily caused due to lack of a differential configuration method;
the method takes the current power distribution network planning guideline requirement as a main basis, takes a quantitative optimization algorithm as an important support for snowflake network architecture planning, provides decision basis for scientific and reasonable development of the snowflake network, and comprises the following steps: firstly, setting boundary conditions, setting analyzed power supply partition categories, comparing and selecting objects in a wiring mode and configuring a power distribution automation mode; secondly, reliability evaluation is carried out on each wiring mode, and a power supply partition reliability development target is obtained; thirdly, forming an alternative combination set, making a preferred model of various combinations of snowflake net and ring net wiring by taking a power supply partition reliability development target as constraint, and calculating the alternative sets of various power supply partitions; and fourthly, determining the optimal configuration by adopting a minimum cost method.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention may be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 illustrates a flow diagram of a method of scale configuration according to an embodiment of the present disclosure;
FIG. 2 illustrates a schematic diagram of a configuration of a scale configuration system according to an embodiment of the present disclosure;
fig. 3 illustrates a block diagram of an electronic device, according to an embodiment of the present disclosure.
Detailed Description
For the purposes of making the objects, technical solutions and advantages of the embodiments of the present disclosure more apparent, the technical solutions of the embodiments of the present disclosure will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present disclosure, and it is apparent that the described embodiments are some embodiments of the present disclosure, but not all embodiments. Based on the embodiments in this disclosure, all other embodiments that a person of ordinary skill in the art would obtain without making any inventive effort are within the scope of protection of this disclosure.
Fig. 1 shows a flow diagram of a method of scale configuration according to an embodiment of the present disclosure. As shown in fig. 1, the method for configuring the wiring mode scale of the fused snowflake network networking according to the embodiment of the present disclosure includes obtaining power supply reliability evaluation values under different power distribution terminal configurations (i.e., power distribution automation terminal configurations) of a snowflake network wiring mode and a looped network wiring mode, and obtaining corresponding power supply reliability targets under different power supply partitions; according to the acquired power supply reliability evaluation value and the power supply reliability target, selecting a snowflake network wiring mode and a looped network wiring mode to form a power distribution network combination set; the method comprises the steps of taking a power supply partition reliability development target as constraint, determining a combination of a snowflake network and a looped network type wiring, and forming a combination set; and taking the combination with the smallest investment scale in the combination set as the configuration of the power supply subareas of the corresponding different classes.
(1) Setting calculation analysis boundary conditions
Respectively selecting three power supply areas with different ranges, such as an A+ (extra large power supply area, such as a power supply area of a direct administration city class), an A (large power supply area, such as a provincial power supply area) and a B (medium power supply area, such as a ground city power supply area) to calculate snowflake network configuration; the wiring mode configuration comparison object is a looped network wiring of snowflake network wiring and typical cable network wiring respectively; typical configuration modes of the distribution automation terminal are intelligent distributed three-remote (namely remote measurement, remote control, remote signaling and remote data transmission), centralized three-remote and standard two-remote three-class configuration modes. Two types of wiring modes are configured differently as shown in the following table:
in the embodiment of the disclosure, intelligent distributed and centralized mode is two modes of feeder automation fault processing, and centralized mode is to remotely transmit signals to a main station after faults occur, and a technician decides to process the switch to be turned off; the intelligent distribution type is used for carrying out on-site fault processing through communication among devices, isolating faults through a disconnection switch, and transmitting signals to a master station. Standard two-remote means including remote signaling and telemetry.
(2) And carrying out reliability evaluation on each wiring mode, and acquiring a reliability development target of the power supply partition.
And calculating power supply reliability evaluation indexes of various wiring modes (namely snowflake network wiring modes and looped network wiring modes (including double looped network wiring modes and single loop network wiring modes) in the table) under different distribution automation terminal configurations. In the embodiment of the disclosure, the reliability evaluation can adopt a fault enumeration method to enumerate the influences of the elements such as a 10kV line, a switch, a bus and the like under the fault condition, calculate the number of users in power failure caused by the fault condition of each element, and (3) collecting and calculating the number of the users when the feeder line is comprehensively powered off, calculating the number of the users when the user is powered off under the working condition of failure of each element, and then calculating the number of the users when the feeder line is comprehensively powered off and the number of the users when the power is uniformly powered off, namely, calculating the number of the users when the power is uniformly powered off.
In embodiments of the present disclosure, reliability modeling calculations may be performed on an example regional power grid using Failure Mode and Effect Analysis (FMEA). The power failure time of all users of the line caused by the faults of elements such as a snowflake network, a single ring network, a double ring network wiring mode line, a circuit breaker, a power distribution station, a box-type transformer substation and the like is counted, the probability of each section of line faults is comprehensively considered, when the faults of different feeder sections are respectively simulated, the influences (the power failure time) of other users on the line are obtained, namely, a reliability evaluation model of the system is obtained, and then a power supply reliability evaluation value (namely, the number of power failure hours of the household) is obtained, as shown in formulas (1) and (2):
（1）
wherein l is 1, 2 or 3; h 1 Number of power outage time units H for line fault 2 Number of power failure time units H for failure of switch facilities 3 Power distribution fault set power failure time number, N 1 Is a feeder F 1 The number of feeder line segments lambda i Is a feeder F 1 Annual average failure rate of feeder segment i, n j Is a feeder F 1 Number of users, N, in feeder segment j n Is a feeder F n The number of feeder line segments lambda ’ i Is a feeder F n Annual average failure rate of feeder segment i, n j ’ Is a feeder F n The number of users, t, in feeder segment j ’ ij Is a feeder F n Each fault in the feeder section i causes the duration of a load outage in the feeder section j.
And the collection calculates the number of the households when the feeder line is comprehensively powered off, and the number of the households when the households are powered off.
（2）
In the method, in the process of the invention,for the number of hours of power failure of the house number +.>For line failure user power failure hours, < >>Power failure hours for switch facility failure user, < >>The power failure hours of the distribution transformer facility fault users are counted;Kthe power failure hours account for the nearly three years of faults and the average power failure hours account for the proportion.
In the implementation of the disclosure, various power supply partition reliability development targets, i.e., reliability target values, can be obtained according to relevant regulations, for example, according to the Q/GDW 10738-2020 "rules of planning and designing Power distribution network technology", for example, the requirements of the A+ type power supply partition power supply reliability target values99.999% (5 minutes), class A power supply partition power supply reliability target value requirement99.99% (52 minutes), class B power supply partition power supply reliability target value requirement +.>99.965% (3 hours).
(3) And (3) formulating a combination principle of each wiring mode under different distribution automation configurations to form a combination set.
According to the reliability target of the power supply partition, selecting a snowflake net wiring which is larger than the reliability target value and has the smallest difference value of the target value (namely, the difference value between the power supply reliability target value and the power supply reliability value of each wiring mode); and selecting looped network type wiring (single-ring network and double-ring network) smaller than the reliability target value to form a combined set. The principle of composition of the combined set follows: in principle, at most two wiring modes are provided in the power supply section; the A+ type power supply partition is configured with intelligent distributed three-tele and centralized three-tele, the lowest configuration standard of the A type power supply partition is centralized three-tele, and the lowest configuration standard of the B type power supply partition is standard two-tele.
(4) And (3) taking the reliability development target of the power supply partition as constraint, and making a preferred model of various combinations of snowflake network and looped network type wiring.
The maximum two alternative wiring modes in the power supply partition are set, the maximum load rate meeting the N-1 check is used for loading, and the load rates of the snowflake network and the looped network are 75% and 50% respectively. And after the numbers of the power failure time of the two wiring modes are accumulated, the average power failure time of the users is obtained in the comprehensive number of users. The formula is shown as follows
（3）
In the method, in the process of the invention,s-type power supply subarea snowflake network wiring mode user average power failure time length +.>The method comprises the steps of configuring self-configured user average power failure time length for the ith class of the snowflake network, wherein i=1 is intelligent distributed three-tele, i=2 is centralized three-tele, and i=3 is standard two-tele; />A self-configured user average power failure time length is allocated for the double-ring network type i; />The wiring mode of the snowflake net is the duty ratio; l (L) A The power supply radius of the snowflake net is provided; l (L) B The power supply radius is double-loop net type.
(5) And calculating the snowflake network scale ratio configuration of various power supply partitions under the reliability target, and screening and combining.
Calculating all combined sets of A+, A and B power supply partitions meeting reliability targets by using the method (3) to obtain the average power outage duration T of various power supply areas S . Since in theory the calculation of equation (3) may appear negative, combinations with TS less than zero are culled and the remaining combinations (i.e., TS greater than or equal to 0) are alternative combinations. And if all the combination scale duty ratio indexes in the combination set are smaller than zero, exiting the analysis of the power supply partition. The existing combination cannot meet the requirements of reliability development targets, and a new wiring mode needs to be optimized and perfected.
(6) And calculating the investment scale of the alternative combination configuration scheme, and selecting the minimum investment as the optimal scheme.
And calculating the scale of each combination configuration device, calculating the total investment according to standard unit price, selecting the combination with the minimum investment scale as the configuration scale of the power supply subareas, and completing the calculation of various power supply subareas to form the snowflake network distribution automation configuration and the scale configuration of the A+/A/B type power supply subareas.
Based on the steps, the present disclosure further provides a wiring mode scale configuration system for integrating snowflake network networking, where the system shown in fig. 2 includes a system interface, an obtaining unit, a combined set unit and a configuration unit, where the system interface is used to obtain relevant parameters from a power distribution network, and the parameters can be obtained through a wired network or an invalid network; the acquisition unit is configured to acquire power supply reliability evaluation values under different distribution terminal configurations of a snowflake network wiring mode and a looped network wiring mode, and acquire corresponding power supply reliability targets under different power supply partitions; the combined set unit is configured to select a snowflake network wiring mode and a looped network wiring mode according to the acquired power supply reliability evaluation value and the power supply reliability target to form a power distribution network combined set; the method comprises the steps of taking a power supply partition reliability development target as constraint, determining a combination of a snowflake network and a looped network type wiring, and forming a combination set; and a configuration unit configured to configure a combination with a minimum investment scale in the combination set as a configuration corresponding to the different kinds of power supply partitions. The specific steps of the execution of each unit, as described in the method flow section, are not repeated here.
Based on the disclosure, correspondingly, the invention further provides electronic equipment. As shown in fig. 3, an electronic device of an embodiment of the present disclosure includes at least one processor and at least one memory electrically connected to the processor, wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform a method as described above.
It should be noted that, the electrical connection between the above units does not necessarily represent connection between lines, and an indirect connection manner may be applied to the embodiments of the present disclosure as long as the purpose of the present disclosure is achieved.
In the embodiments of the present disclosure, a market is taken as an example for explanation:
(1) First, a calculation analysis boundary condition is set
And selecting uniform load density, setting the power supply radius length by limiting the economic operation capacity of the transformer substation, calculating the total area of a power supply area and sequentially obtaining the total load.
1) A+/A/B type power supply subareas are selected, the load density of the A+ type power supply subareas is selected to be 30MW/km2, the load density of the A type power supply subareas is selected to be 20MW/km2, and the load density of the B type power supply subareas is selected to be 10MW/km2.
2) 15MW/km2 was chosen as a typical load density level.
3) Each line length was selected to be 1.5km.
4) 50MVA is adopted for the 110/10kV transformer substation main transformer, 20MVA is adopted for the 35/10kV transformer substation main transformer, and each transformer substation is provided with 2 or 3 main transformers.
5) The 10kV cable line is selected according to a cross-linked copper core cable with the cross section of 300 square millimeters, the current-carrying capacity of the lead is 550A, and the maximum load bearing capacity of a single line is about 8.4 megawatts.
6) The circuit breaker, the fuse and the switch equipment are reliable in operation, and the circuit is provided with a distribution automation device.
7) Intelligent distributed fault isolation time is 100ms, centralized fault isolation time is 5min, and standard type two-remote fault isolation time is 1h.
(2) Secondly, reliability evaluation is carried out on each wiring mode, and a power supply partition reliability development target is obtained.
Reliability modeling calculations are performed on the example regional power grid using failure mode consequences analysis (FMEA). And (3) counting three years of power failure events of elements such as a cable line, a circuit breaker, a distribution transformer and the like, and counting the failure rate, the failure checking time and the isolation time as shown in the following table.
And calculating reliability evaluation indexes of the snowflake network, the double-ring network and the single-ring network in distributed three-remote configuration, as shown in the following table.
And calculating a reliability evaluation index SAIDI calculation result summary table of the snowflake network, the double-ring network and the single-ring network in different configuration modes, as shown in the following table.
(3) Thirdly, a combination principle of each wiring mode under different self-configuration is formulated to form a combination set.
According to the reliability target of the power supply partition, selecting a snowflake net wiring which is larger than the reliability target value and has the smallest difference value of the target values; and selecting looped network type wiring smaller than the reliability target value to form a combined set.
(4) Fourth, with the power supply partition reliability development target as constraint, a preferred model of various combinations of snowflake net and ring net type wiring is formulated.
The maximum two alternative wiring modes in the power supply partition are set, the maximum load rate meeting the N-1 check is used for loading, and the load rates of the snowflake network and the looped network are 75% and 50% respectively. And after the numbers of the power failure time of the two wiring modes are accumulated, the average power failure time of the users is obtained in the comprehensive number of users. The formula is shown as follows
（3）
In the method, in the process of the invention,powering class SRegional snowflake network wiring mode user average power-off duration, < >>The method comprises the steps of configuring self-configuration for the ith class of the snowflake network, wherein i=1 is intelligent distributed three-tele, i=2 is centralized three-tele, and i=3 is standard two-tele; />Self-configuration is configured for the ith class of the double-ring network; />The wiring mode ratio of the snowflake net is set.
(5) Fifthly, calculating snowflake network scale proportion configuration of various power supply partitions under a reliability target, and screening and combining.
And (3) calculating all combination sets of the A + \A\B type power supply partitions meeting the reliability target by applying the formula, removing the combination with the scale ratio index smaller than zero, and using the rest combination as an alternative combination. And if all the combination scale duty ratio indexes in the combination set are smaller than zero, exiting the analysis of the power supply partition. The existing combination cannot meet the requirements of reliability development targets, and a new wiring mode needs to be optimized and perfected.
(6) Sixth, calculate the investment scale of the alternative combination configuration scheme, choose the minimum value of investment as the optimal scheme.
And calculating the scale of each combination configuration device, calculating the total investment according to standard unit price, selecting the combination with the minimum investment scale as the configuration scale of the power supply subareas, and completing the calculation of various power supply subareas to form the snowflake network distribution automation configuration and the scale configuration of the A+/A/B type power supply subareas.
The unit load investments for the different combinations were calculated and are specified in the table below.
And selecting the combination with the minimum unit load investment, wherein the A+ type power supply partition is { A1 and C1}, the A type power supply partition is { A2 and C2}, and the B type power supply partition is { A3 and C3}. The principle can be summarized, the lowest wiring configuration proportion of the intelligent distributed three-remote snowflake net in the class A+ power supply partition is 90% (86% rounding), the lowest wiring configuration proportion of the intelligent distributed three-remote snowflake net in the class A power supply partition is 50% (47% rounding), and the lowest wiring configuration proportion of the standard two-remote snowflake net in the class B power supply partition is 20% (18% rounding).
Although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (9)
1. A wiring mode scale configuration method of a fused snowflake net is characterized by comprising the following steps of,
acquiring power supply reliability evaluation values under different distribution terminal configurations of a snowflake network wiring mode and a looped network wiring mode, and acquiring corresponding power supply reliability targets under different power supply partitions;
according to the acquired power supply reliability evaluation value and the power supply reliability target, selecting a snowflake network wiring mode and a looped network wiring mode to form a power distribution network combination set;
the method comprises the steps of taking a power supply partition reliability development target as constraint, determining a combination of a snowflake network and a looped network type wiring, and forming a combination set;
taking the combination with the smallest investment scale in the combination set as the configuration of the corresponding different power supply subareas; wherein,
according to S-type power supply partition snowflake network wiring mode, the average power failure duration T of a user s Determining all combined sets of A+, A and B type power supply regions meeting reliability targets, and referring to the scale ratioRemoving combinations with the marks smaller than zero, wherein the rest combinations are alternative combinations; if all the combination scale duty ratio indexes in the combination set are smaller than zero, exiting the analysis of the power supply partition; wherein,
in the method, in the process of the invention,s-type power supply subarea snowflake network wiring mode user average power failure time length +.>The method comprises the steps of configuring self-configured user average power failure time length for the ith class of the snowflake network, wherein i=1 is intelligent distributed three-tele, i=2 is centralized three-tele, and i=3 is standard two-tele; />A self-configured user average power failure time length is allocated for the double-ring network type i; />The wiring mode of the snowflake net is the duty ratio; l (L) A The power supply radius of the snowflake net is provided; l (L) B The power supply radius is double-loop net type.
2. The method of claim 1, wherein the power reliability assessment value is a number T of hours per consumer power outage Σ Wherein, the method comprises the steps of, wherein,
wherein,
wherein l is 1, 2 or 3; h 1 For line faultsNumber of users, H, when power failure occurs 2 Number of power failure time units H for failure of switch facilities 3 The number of power failure time units with power distribution fault, N1 is feeder F 1 The number of feeder line segments lambda i Is a feeder F 1 Annual average failure rate of feeder segment i, n j Is a feeder F 1 The number of users in feeder segment j, nn is feeder F n The number of feeder line segments lambda ’ i Is a feeder F n Annual average failure rate of feeder segment i, n j ’ Is a feeder F n The number of users, t, in feeder segment j ’ ij Is a feeder F n Each fault in the feeder section i causes the duration of a load outage in the feeder section j.
3. The method of claim 1, wherein the step of determining the position of the substrate comprises,
the distribution terminal configuration comprises intelligent distributed three-tele, centralized three-tele and standard two-tele; the power partition categories include a+, a, and B.
4. The method of claim 3, wherein the step of,
at most two wiring modes are in the power supply area; the A+ type power supply partition is configured with intelligent distributed three-tele and centralized three-tele, the lowest configuration standard of the A type power supply partition is centralized three-tele, and the lowest configuration standard of the B type power supply partition is standard two-tele.
5. The method according to claim 1, wherein the snowflake network wiring mode and the looped network wiring mode are selected according to the acquired power supply reliability evaluation value and the power supply reliability target to form a power distribution network combination set, in particular,
according to the reliability target of the power supply partition, selecting snowflake net wiring which is larger than the reliability target value and has the smallest difference value of the target value; and selecting looped network type wiring smaller than the reliability target value to form a combined set.
6. A wiring mode scale configuration system integrating snowflake networks is characterized in that the system comprises,
the acquisition unit is configured to acquire power supply reliability evaluation values under different distribution terminal configurations of a snowflake network wiring mode and a looped network wiring mode, and acquire corresponding power supply reliability targets under different power supply partitions;
the combined set unit is configured to select a snowflake network wiring mode and a looped network wiring mode according to the acquired power supply reliability evaluation value and the power supply reliability target to form a power distribution network combined set; the method comprises the steps of taking a power supply partition reliability development target as constraint, determining a combination of a snowflake network and a looped network type wiring, and forming a combination set;
a configuration unit configured to take a combination with a minimum investment scale in the combination set as a configuration of the corresponding different kinds of power supply partitions;
wherein, according to S-type power supply partition snowflake network wiring mode, the user average power failure duration T s Determining all combination sets of A+, A and B type power supply areas meeting reliability targets, eliminating combinations with scale ratio indexes smaller than zero, and using the rest combinations as alternative combinations; if all the combination scale duty ratio indexes in the combination set are smaller than zero, exiting the analysis of the power supply partition; wherein,
in the method, in the process of the invention,s-type power supply subarea snowflake network wiring mode user average power failure time length +.>The method comprises the steps of configuring self-configured user average power failure time length for the ith class of the snowflake network, wherein i=1 is intelligent distributed three-tele, i=2 is centralized three-tele, and i=3 is standard two-tele; />A self-configured user average power failure time length is allocated for the double-ring network type i; />The wiring mode of the snowflake net is the duty ratio; l (L) A The power supply radius of the snowflake net is provided; l (L) B The power supply radius is double-loop net type.
7. The system of claim 6, wherein the power reliability assessment value is a number T of hours per consumer power outage Σ Wherein, the method comprises the steps of, wherein,
wherein,
wherein l is 1, 2 or 3; h 1 Number of power outage time units H for line fault 2 Number of power failure time units H for failure of switch facilities 3 The number of power failure time units with power distribution fault, N1 is feeder F 1 The number of feeder line segments lambda i Is a feeder F 1 Annual average failure rate of feeder segment i, n j Is a feeder F 1 The number of users in feeder segment j, nn is feeder F n The number of feeder line segments lambda ’ i Is a feeder F n Annual average failure rate of feeder segment i, n j ’ Is a feeder F n The number of users, t, in feeder segment j ’ ij Is a feeder F n Each fault in the feeder section i causes the duration of a load outage in the feeder section j.
8. The system according to claim 6, wherein the snowflake network wiring mode and the looped network wiring mode are selected according to the acquired power supply reliability evaluation value and the power supply reliability target to form a power distribution network combination set, in particular,
according to the reliability target of the power supply partition, selecting snowflake net wiring which is larger than the reliability target value and has the smallest difference value of the target value; and selecting looped network type wiring smaller than the reliability target value to form a combined set.
9. An electronic device comprising at least one processor and at least one memory, said memory being in data connection with said processor, characterized in that,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of wire-pattern layout of a fused snowflake network of any one of claims 1-5.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105162110A (en) * | 2015-08-24 | 2015-12-16 | 国网天津市电力公司 | Configuration method for sectionalizing and interconnection switches of power distribution network |
| CN105305431A (en) * | 2015-11-06 | 2016-02-03 | 国网天津市电力公司 | Snowflake grid type grid construction method suitable for urban medium voltage distribution networks |
| CN106296466A (en) * | 2016-08-29 | 2017-01-04 | 中国电力科学研究院 | A kind of feeder system planing method based on reliability |
| CN106684808A (en) * | 2016-09-08 | 2017-05-17 | 珠海电力设计院有限公司 | Double closed-loop/multiple closed-loop interconnected power distribution network wiring structure and power supply system |
| CN114757496A (en) * | 2022-03-23 | 2022-07-15 | 广东电网有限责任公司 | Method and device for evaluating power supply reliability of power distribution network |
| CN115189355A (en) * | 2022-09-08 | 2022-10-14 | 国网天津市电力公司城南供电分公司 | Snowflake grid type grid structure construction method and device for three-station six-line mode power distribution network |
| CN116780521A (en) * | 2023-06-30 | 2023-09-19 | 国网天津市电力公司 | Novel power distribution network frame construction method based on multi-state switch |
-
2023
- 2023-11-27 CN CN202311586431.6A patent/CN117293827B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105162110A (en) * | 2015-08-24 | 2015-12-16 | 国网天津市电力公司 | Configuration method for sectionalizing and interconnection switches of power distribution network |
| CN105305431A (en) * | 2015-11-06 | 2016-02-03 | 国网天津市电力公司 | Snowflake grid type grid construction method suitable for urban medium voltage distribution networks |
| CN106296466A (en) * | 2016-08-29 | 2017-01-04 | 中国电力科学研究院 | A kind of feeder system planing method based on reliability |
| CN106684808A (en) * | 2016-09-08 | 2017-05-17 | 珠海电力设计院有限公司 | Double closed-loop/multiple closed-loop interconnected power distribution network wiring structure and power supply system |
| CN114757496A (en) * | 2022-03-23 | 2022-07-15 | 广东电网有限责任公司 | Method and device for evaluating power supply reliability of power distribution network |
| CN115189355A (en) * | 2022-09-08 | 2022-10-14 | 国网天津市电力公司城南供电分公司 | Snowflake grid type grid structure construction method and device for three-station six-line mode power distribution network |
| CN116780521A (en) * | 2023-06-30 | 2023-09-19 | 国网天津市电力公司 | Novel power distribution network frame construction method based on multi-state switch |
Non-Patent Citations (2)
| Title |
|---|
| Research on application of high reliability structure in medium voltage distribution network;Dong Zhao等;《2023 2nd International Conference on Smart Grids and Energy Systems (SGES)》;14-18页 * |
| 我国首个10 kV"雪花网"试点工程建设完成;新华社;《农村电工》;第31卷(第1期);3 * |
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