CN116365518B - Reconfigurable method and system for power distribution network based on intelligent switch - Google Patents

Reconfigurable method and system for power distribution network based on intelligent switch Download PDF

Info

Publication number
CN116365518B
CN116365518B CN202310556702.7A CN202310556702A CN116365518B CN 116365518 B CN116365518 B CN 116365518B CN 202310556702 A CN202310556702 A CN 202310556702A CN 116365518 B CN116365518 B CN 116365518B
Authority
CN
China
Prior art keywords
distribution network
power distribution
line
intelligent
switch
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202310556702.7A
Other languages
Chinese (zh)
Other versions
CN116365518A (en
Inventor
苑佳楠
霍超
郑利斌
甄岩
张港红
高建
杨双双
申振东
张予
白晖峰
尹志斌
罗安琴
谢凡
申一帆
丁啸
张楠
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Smartchip Microelectronics Technology Co Ltd
Original Assignee
Beijing Smartchip Microelectronics Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing Smartchip Microelectronics Technology Co Ltd filed Critical Beijing Smartchip Microelectronics Technology Co Ltd
Priority to CN202310556702.7A priority Critical patent/CN116365518B/en
Publication of CN116365518A publication Critical patent/CN116365518A/en
Application granted granted Critical
Publication of CN116365518B publication Critical patent/CN116365518B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00004—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the power network being locally controlled
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/001—Methods to deal with contingencies, e.g. abnormalities, faults or failures
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Abstract

The invention provides a reconfigurable method and a reconfigurable system for a power distribution network based on an intelligent switch, and belongs to the technical field of power distribution networks. The method comprises the following steps: acquiring real-time data of each line in the power distribution network; each line in the power distribution network is provided with an intelligent switch, and the lines in the power distribution network comprise lines which are connected to the power distribution network through the intelligent switches by distributed adjustable resources; based on real-time data of each line, adopting a preset adjustment capacity quantization data model to predict the adjustment capacity of the corresponding line; judging whether the reconstruction of the power distribution network is needed according to the real-time data of each line; under the condition that the power distribution network reconstruction is determined to be needed, according to the adjustment capacity predicted value of each line, the intelligent switch in the corresponding line is controlled by adopting the corresponding control strategy to realize the power distribution network reconstruction. The method can meet the low-voltage transformer area with larger load fluctuation and high power supply reliability requirement, so that the reconstruction of the power distribution network is more intelligent, and the reliability of the reconstruction of the power distribution network is improved.

Description

Reconfigurable method and system for power distribution network based on intelligent switch
Technical Field
The invention relates to the technical field of power distribution networks, in particular to a power distribution network reconfigurable method based on an intelligent switch, a power distribution network reconfigurable system based on the intelligent switch, a power distribution network reconfigurable device based on the intelligent switch, a machine-readable storage medium and a processor.
Background
The power distribution network reconstruction technology is a technology for improving reliability, reducing line loss, balancing load and improving power supply voltage quality by changing a power distribution network topological structure. The method specifically comprises the step of changing the network topology by changing the on/off states of the tie switch and the sectionalizer when the power distribution network normally operates, so as to change the power flow in the network, thereby achieving the purposes of reducing the network loss, balancing the load and improving the quality of the power supply voltage. The power failure recovery system also comprises a recovery system for analyzing and judging in real time according to related information after the power distribution network fails, and providing a correct and effective power failure recovery strategy for the sound area, so that a dispatcher can accurately determine the failure position, isolate the failure area and quickly recover the power supply of the non-failure area. The reconstruction of the power distribution network can effectively improve the power supply reliability, reduce the network loss, balance the load and improve the quality of the power supply voltage, and is one of important functions of the modern power distribution network automation.
At present, the power distribution network reconstruction is realized by changing the topological structure through a control switch and adjusting a circuit from a medium-voltage station area to a low-voltage station area, but under the conditions of large load fluctuation of the low-voltage station area and high power supply reliability requirement, the power distribution network reconstruction method cannot meet the requirement of the low-voltage station area.
Disclosure of Invention
The embodiment of the application aims to provide a power distribution network reconfigurable method based on an intelligent switch, a power distribution network reconfigurable system based on the intelligent switch, a power distribution network reconfigurable device based on the intelligent switch, a machine-readable storage medium and a processor. The power distribution network reconfigurable method based on the intelligent switch can meet the low-voltage transformer area with larger load fluctuation and high power supply reliability requirement.
To achieve the above object, a first aspect of the present application provides a reconfigurable method for a power distribution network based on an intelligent switch, including:
acquiring real-time data of each line in the power distribution network; the intelligent switches are arranged on all lines in the power distribution network, and the lines in the power distribution network comprise lines which are connected to the power distribution network through the intelligent switches by distributed adjustable resources;
based on real-time data of each line, carrying out adjustment capacity prediction on the corresponding line by adopting a preset adjustment capacity quantization data model to obtain an adjustment capacity prediction value of each line;
judging whether the reconstruction of the power distribution network is needed according to the real-time data of each line;
under the condition that the power distribution network reconstruction is determined to be needed, according to the adjustment capacity predicted value of each line, the intelligent switch in the corresponding line is controlled by adopting the corresponding control strategy to realize the power distribution network reconstruction.
In the embodiment of the application, the preset adjustment capability quantization data model construction process comprises the following steps:
acquiring historical operation data of each line in the power distribution network;
based on the historical operation data of each line, constructing and obtaining an equivalent model corresponding to each line;
based on quantitative analysis of the rapid adjustment capability of the power distribution network, the equivalent models corresponding to the lines are fused according to the lines, and the adjustment capability quantitative data model corresponding to the lines is obtained.
In the embodiment of the present application, the construction of the equivalent model corresponding to each line based on the historical operation data of each line includes:
simulating the resource information of the line under various operation scenes by adopting an unsupervised learning algorithm based on the historical operation data of the line to obtain a resource clustering model;
and carrying out physical parameter equivalence and control parameter equivalence on the resource clustering model by using an equivalent modeling method to obtain an equivalent model.
In the embodiment of the application, the intelligent switch in the circuit comprises a secondary fusion column switch positioned in a medium-voltage transformer area of the power distribution network and an intelligent switch positioned in a low-voltage transformer area of the power distribution network;
according to the predicted value of the adjustment capability of each line, the intelligent switch in the corresponding line is controlled by adopting the corresponding control strategy to realize the reconstruction of the power distribution network, and the method comprises the following steps:
And according to a control strategy corresponding to the adjustment capacity predicted value of each line, the reconstruction of the power distribution network is realized by controlling a secondary fusion on-column switch and/or an intelligent switch in the corresponding line.
The second aspect of the application provides a reconfigurable system of a power distribution network based on an intelligent switch, which is used for realizing the reconfigurable method of the power distribution network based on the intelligent switch, and comprises control equipment, the intelligent switch and distributed adjustable resources; the intelligent switch is arranged on a line in the power distribution network; the distributed adjustable resources are accessed into a circuit of the power distribution network through the intelligent switch;
the control device is used for:
acquiring real-time data of each line in the power distribution network;
based on real-time data of each line, carrying out adjustment capacity prediction on the corresponding line by adopting a preset adjustment capacity quantization data model to obtain an adjustment capacity prediction value of each line;
judging whether the reconstruction of the power distribution network is needed according to the real-time data of each line; under the condition that the power distribution network reconstruction is determined to be needed, according to the adjustment capacity predicted value of each line, the intelligent switch in the corresponding line is controlled by adopting the corresponding control strategy to realize the power distribution network reconstruction.
In the embodiment of the application, the intelligent switch comprises a plurality of intelligent switches positioned in a low-voltage area of the power distribution network, the plurality of intelligent switches are respectively connected with terminals of the low-voltage area of the power distribution network, and the plurality of intelligent switches are connected with the control equipment; the terminal of the low-voltage distribution network area comprises distributed adjustable resources and a user terminal.
In the embodiment of the application, the control equipment comprises an intelligent fusion terminal, wherein the intelligent fusion terminal is positioned in a medium-voltage transformer area of the power distribution network; the intelligent switches are respectively connected with the intelligent fusion terminal.
In the embodiment of the application, the control equipment further comprises a master station, and the master station is connected with the intelligent fusion terminal;
the master station is used for constructing an adjustment capability quantization data model and issuing the adjustment capability quantization data model to the intelligent fusion terminal;
the intelligent fusion terminal is used for acquiring real-time data of each line in the power distribution network, and based on the real-time data of each line, adopting a preset adjustment capacity quantization data model to predict adjustment capacity of a corresponding line, and obtaining an adjustment capacity prediction value of each line; the method is also used for judging whether the reconstruction of the power distribution network is needed or not according to the real-time data of each line; under the condition that the power distribution network reconstruction is determined to be needed, according to the adjustment capacity predicted value of each line, the intelligent switch in the corresponding line is controlled by adopting the corresponding control strategy to realize the power distribution network reconstruction.
In the embodiment of the application, the intelligent switch further comprises a secondary fusion on-pole switch, wherein the secondary fusion on-pole switch is positioned in a medium-voltage transformer area of the power distribution network, and the secondary fusion on-pole switch is connected with the master station.
A third aspect of the present application provides a reconfigurable device for a power distribution network based on an intelligent switch, including:
the acquisition module is used for acquiring real-time data of each line in the power distribution network; the intelligent switches are arranged on all lines in the power distribution network, and the lines in the power distribution network comprise lines, which are connected to the power distribution network through the intelligent switches, of distributed adjustable resources;
the prediction module is used for predicting the adjustment capacity of the corresponding line by adopting a preset adjustment capacity quantization data model based on the real-time data of each line to obtain the adjustment capacity predicted value of each line;
the judging module is used for judging whether the power distribution network reconstruction is needed according to the real-time data of each line;
and the reconstruction module is used for controlling intelligent switches in corresponding lines to realize the reconstruction of the power distribution network by adopting corresponding control strategies according to the adjustment capacity predicted value of each line under the condition that the reconstruction of the power distribution network is determined to be required.
In an embodiment of the present application, the method further includes:
the historical data acquisition module is used for acquiring historical operation data of each line in the power distribution network;
the model construction module is used for constructing and obtaining equivalent models corresponding to the lines based on the historical operation data of the lines;
And the model fusion module is used for fusing the equivalent models corresponding to the lines according to the lines based on the quantitative analysis of the rapid adjustment capability of the power distribution network to obtain quantitative data models corresponding to the adjustment capability of the lines.
In the embodiment of the application, the intelligent switch in the circuit comprises a secondary fusion column switch positioned in a medium-voltage transformer area of the power distribution network and an intelligent switch positioned in a low-voltage transformer area of the power distribution network;
the reconstruction module comprises:
and the switch control unit is used for realizing the reconstruction of the power distribution network through a secondary fusion on-pole switch in the control circuit and/or the intelligent switch.
A fourth aspect of the application provides a processor configured to perform the above-described smart switch-based power distribution network reconfiguration method.
A fifth aspect of the application provides a machine-readable storage medium having instructions stored thereon, which when executed by a processor, cause the processor to be configured to perform the smart switch-based power distribution network reconstruction method described above.
According to the technical scheme, the distributed adjustable resources are connected into the power distribution network, when the power distribution network is required to be reconstructed, the intelligent switch is controlled to adjust the circuit with the distributed adjustable resources so as to reconstruct the power distribution network, reliable voltage and frequency support can be provided by utilizing the inherent inertia damping characteristics of the distributed adjustable resources, such as quick self-response, strong power controllability and missing compensation system, thereby the low-voltage transformer area with larger load fluctuation and high power supply reliability requirement can be satisfied, the power flow adjustable and controllable, the flexible access of new energy and the optimization of distribution transformer load rate are realized, and the reliable and safe power supply of important load is ensured. The preset adjustment capability quantization data model is adopted to predict the adjustment capability, so that the adjustment capability can be predicted in advance, the accurate adjustment of the line is facilitated, global optimization is realized, the reconstruction of the power distribution network is more intelligent, the power supply reliability of the power distribution area is effectively improved, and the reconstruction reliability of the power distribution network is further improved. The distributed adjustable resources are participated in the line control, so that the low-voltage transformer area can be balanced on site, the regulation and control capability and the safety of the power distribution network can be enhanced, and the overall operation efficiency is improved.
Additional features and advantages of embodiments of the application will be set forth in the detailed description which follows.
Drawings
The accompanying drawings are included to provide a further understanding of embodiments of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain, without limitation, the embodiments of the application. In the drawings:
fig. 1 schematically illustrates a flow diagram of a reconfigurable method for a power distribution network based on intelligent switches according to an embodiment of the application;
FIG. 2 schematically illustrates a smart switch-based power distribution network reconstruction architecture composition in accordance with an embodiment of the present application;
FIG. 3 schematically illustrates a schematic diagram of an operational state of a power distribution network according to an embodiment of the present application;
fig. 4 schematically shows a block diagram of a reconfigurable device for a power distribution network based on intelligent switches according to an embodiment of the application;
fig. 5 schematically shows an internal structural view of a computer device according to an embodiment of the present application.
Description of the reference numerals
410-an acquisition module; 420-a prediction module; 430-judging module; 440-reconstructing module; a01-a processor; a02-a network interface; a03-an internal memory; a04-a display screen; a05-an input device; a06—a nonvolatile storage medium; b01-operating system; b02-computer program.
Detailed Description
The following describes the detailed implementation of the embodiments of the present application with reference to the drawings. It should be understood that the detailed description and specific examples, while indicating and illustrating the application, are not intended to limit the application.
Referring to fig. 1-3, fig. 1 schematically illustrates a flow chart of a reconfigurable method for a power distribution network based on intelligent switches according to an embodiment of the application; FIG. 2 schematically illustrates a smart switch-based power distribution network reconstruction architecture composition in accordance with an embodiment of the present application; fig. 3 schematically shows a schematic diagram of the operation state of the power distribution network according to an embodiment of the present application.
The reconfigurable method of the power distribution network based on the intelligent switch, provided by the embodiment of the application, has a multi-dimensional networking mode and mainly comprises medium-voltage dynamic networking, low-voltage flexible looping and new energy active networking, realizes the on-site balance of the source network load storage of the low-voltage area by depending on an intelligent fusion terminal, responds to the dispatching of the distribution network, participates in the interaction of the distribution network and realizes the autonomy of the area. Meanwhile, the two-time fusion on-column switch and the master station can be used for cooperative allocation, and the medium-voltage transformer area mutual aid is realized by utilizing adjustable resources and participating in the cooperative control of the master station and the slave station; and a master station comprehensive dispatching management and control system is relied on to formulate a master-configuration cooperative control strategy so as to realize global optimization.
The embodiment provides a reconfigurable method of a power distribution network based on an intelligent switch, which comprises the following steps:
step 210: acquiring real-time data of each line in the power distribution network; the intelligent switches are arranged on all lines in the power distribution network, and the lines in the power distribution network comprise distributed adjustable resources which are connected to the lines of the power distribution network through the intelligent switches. The power distribution network comprises a plurality of lines, wherein the real-time data of the lines are real-time dynamic operation data, and the real-time data comprise voltage, current, frequency, phase, equivalent resistance of the lines and the like. The acquisition may be obtained by reading data acquired in real time through the intelligent switch.
In this embodiment, in order to maintain the power distribution network in a normal running state, the power grid capacity of the power distribution network can be comprehensively considered from a spare capacity margin dimension, an active support margin dimension, a partition independent energy capacity dimension, a real-time controllability dimension, a fault risk factor dimension, a reliability dimension and the like, so that distributed adjustable resources are added in the power distribution network, namely, the lines of the power distribution network comprise the lines of the power distribution network, which are accessed to the power distribution network through intelligent switches. The distributed adjustable resources include, but are not limited to, distributed power sources, energy storage devices, charging piles, adjustable loads, and the like. The distributed adjustable resource is located in a low-voltage area of the power distribution network, can be accessed to a medium-voltage area of the power distribution network through an intelligent switch, and particularly can be an integrated power distribution cabinet of an electric transformer accessed to the medium-voltage area, so that a line with the distributed adjustable resource accessed to the power distribution network through the intelligent switch is obtained.
The power distribution system comprises a power distribution network, a power distribution station, a power distribution system and a power distribution system, wherein the power distribution network comprises a power distribution system, the power distribution system comprises a power distribution system, a power distribution system and a power distribution system, the power distribution system comprises a power distribution system, a power distribution system and a power distribution system, the power distribution system comprises a power distribution system, and the power distribution system comprises a power distribution system, wherein the power distribution system comprises a power distribution system, the power distribution system comprises a power distribution system, a power distribution system and a power distribution system, and the power distribution system comprises the power distribution.
In this embodiment, the intelligent switch includes a secondary fused on-pole switch and a switching station located in a medium-voltage transformer area of the power distribution network, and an intelligent switch located in a low-voltage transformer area of the power distribution network.
The secondary fusion column switch has the advantages of interface, assembly and test standardization, equipment miniaturization, device integration, impedance matching, operation and maintenance intellectualization and the like, is mainly arranged on a 10KV overhead line, and can realize automatic removal of single-phase grounding faults and automatic isolation of interphase short-circuit faults, thereby ensuring the electricity safety of non-fault users and preventing the accident expansion of the fault users. The secondary integration on-column switch is composed of a switch body, an intelligent terminal, a connecting cable and the like, can be used for occasions such as line segmentation, connection, branching, user demarcation and the like, and has a bidirectional metering function to realize automatic collection of electric quantity data and an automatic power distribution function of the on-column switch.
The intelligent switch is developed based on an edge computing basic platform of the self-main Internet of things, and has the capabilities of edge computing and container deployment. The system has the functions of data acquisition, platform topology identification, power quality analysis, state alarm, power failure judgment and positioning, equipment self-diagnosis, service life self-evaluation and the like, and meets the requirements of the businesses such as holographic perception, instant judgment, active rush repair, graphical operation and maintenance and the like of the distribution transformer platform. When the distributed adjustable resource is distributed photovoltaic, the intelligent switch is a photovoltaic grid-connected switch product, and particularly based on intelligent switch core board development, a reliable control unit and a bidirectional measurement unit are added on the basis of the intelligent switch, information is interacted with the inverter and the energy storage unit, the power quality of the grid-connected power supply is collected and processed in real time, and the intelligent integrated terminal of the platform area is matched to realize distributed photovoltaic power generation data monitoring and grid-connected control.
The switch station is used as an important node of a medium-voltage line, and mainly comprises primary equipment such as a circuit breaker, an isolating switch, a current transformer, a voltage transformer, a bus and secondary equipment such as communication equipment and a computing terminal, and the power system and user electric equipment can be selectively connected or disconnected through a switch device. Utilize intelligent switch, intelligent sensor external member, intelligent complete set looped netowrk cabinet, intelligent complete set switch board, intelligent transformer etc. to constitute panorama monitoring system, carry out localization processing and decision-making with above-mentioned electric quantity and non-electric quantity information through marginal computing power, perhaps accept the main website regulation and control with the main website is mutual, realize distribution network self-healing.
Step 220: based on real-time data of each line, carrying out adjustment capacity prediction on the corresponding line by adopting a preset adjustment capacity quantization data model to obtain an adjustment capacity prediction value of each line;
in this embodiment, the preset adjustment capability quantization data model may be constructed according to historical data of the power distribution network, and is used to predict the rapid adjustment capability of the line. Each line corresponds to its own tuning capacity quantitative data model. The current adjustment capacity of the circuit can be predicted through the adjustment capacity quantization data model, so that a corresponding strategy is adopted to reconstruct the power distribution network.
The construction process of the preset adjustment capacity quantitative data model comprises the following steps:
firstly, acquiring historical operation data of each line in a power distribution network; in this embodiment, the historical operation data includes operation data at a plurality of moments, and each set of operation data includes data of voltage, current, frequency, phase, equivalent resistance of a line, and the like corresponding to the moment.
Then, constructing and obtaining equivalent models corresponding to all the lines based on the historical operation data of all the lines;
in some embodiments, the construction process of the equivalent model includes:
firstly, simulating resource information of lines in various operation scenes by adopting an unsupervised learning algorithm based on historical operation data of the lines to obtain a resource clustering model; in this embodiment, the resource cluster model includes a centralized resource cluster model and a distributed resource cluster model in the distribution network. The non-supervised learning algorithm may be a principal component analysis method, a laplace feature mapping method, or the like.
The distributed resource clustering model can integrate historical dynamic operation data of distributed adjustable resources (including distributed power supplies, energy storage devices, charging piles, adjustable loads and the like) in a distribution network, and is constructed through a multi-operation scene simulation and an unsupervised learning algorithm to obtain the distributed resource clustering model, wherein the distributed resource clustering model comprises a parameter equivalent model, a feeder line equivalent model and the like. Correspondingly, the centralized resource clustering model can be constructed by integrating historical dynamic operation data of the centralized resources and then adopting an unsupervised learning algorithm to obtain the centralized resource clustering model through multi-operation scene simulation.
And secondly, performing physical parameter equivalence and control parameter equivalence on the resource clustering model by using an equivalent modeling method to obtain an equivalent model.
In this embodiment, an equivalent modeling method may be used to perform physical parameter equivalent and control parameter equivalent on the centralized resource clustering model and the distributed resource clustering model in the distribution network, so as to obtain multiple equivalent models. In this embodiment, the equivalent modeling method refers to equivalent integration of each model in the resource clustering model, that is, screening and filtering the models with the same function, and only retaining one model. The physical parameter equivalence means that the models in the centralized resource clustering model and the distributed resource class model are respectively filtered according to the physical parameters, and only one model is reserved for a plurality of models with the same physical parameters. Similarly, the control parameter equivalence means that the models in the centralized resource clustering model and the distributed resource clustering model are respectively filtered according to the control parameters, and only one model is reserved for a plurality of models with the same control parameters.
In some embodiments, in order to obtain a more accurate equivalent model, the historical operation data may be divided into sample data and verification data, a plurality of equivalent models are constructed according to the sample data, then the verification data is used to verify the plurality of equivalent models, and the equivalent models are iterated through error correction to obtain the more accurate equivalent model.
And finally, based on quantitative analysis of the rapid adjustment capability of the power distribution network, fusing the equivalent models corresponding to the lines according to the lines to obtain quantitative data models corresponding to the adjustment capability of the lines. In this embodiment, the rapid adjustment energy-saving analysis based on the power distribution network may be to build a rapid adjustment energy-saving quantitative data model by quantifying a dynamic corresponding process of the distributed resource, and combining an operation constraint condition, a system operation trend, a system boundary condition (indexes such as voltage, current, frequency, etc. of an alert state and a fault state), and a system control policy.
It should be noted that, the merging refers to determining the corresponding equivalent model in the line first, and the determining manner may be determined according to the data source used for constructing the equivalent model, for example, if the equivalent model a is obtained based on the historical operation data in the line 1, the adjusting capability quantization data model of the line 1 includes the equivalent model a. And judging whether the same equivalent model exists in the same circuit, if so, reserving one equivalent model to obtain the corresponding adjustment capacity quantitative data model of each circuit. The obtained adjustment capacity quantization data model reduces redundant equivalent models, reduces the size of the adjustment capacity quantization data model, and saves storage resources.
Step 230: judging whether the reconstruction of the power distribution network is needed according to the real-time data of each line;
in this embodiment, whether the power distribution network needs to be reconstructed may be determined by determining whether a line fails according to real-time data, and if the line fails, the power distribution network needs to be reconstructed is described; or judging whether the current line meets the requirement or not, and under the condition that the current line does not meet the requirement, carrying out power distribution network reconstruction.
Step 240: under the condition that the power distribution network reconstruction is determined to be needed, according to the adjustment capacity predicted value of each line, the intelligent switch in the corresponding line is controlled by adopting the corresponding control strategy to realize the power distribution network reconstruction.
In this embodiment, corresponding control strategies may be set in advance according to different adjustment capabilities, where the control strategies include adjusting and controlling intelligent switches in the line, specifically may change network topology by changing the on/off states of the tie switches and the sectionalizing switches, so as to change the power flow in the network, and achieve the purpose of reconstructing the power distribution network. When the power distribution network is required to be reconstructed, corresponding control strategies can be matched in preset control strategies according to the adjustment capacity predicted values of all the lines, and then the intelligent switch is adjusted and controlled according to the corresponding control strategies.
In some embodiments, the intelligent switches in the line include a secondary fused on-pole switch located in a medium voltage bay of the power distribution network and an intelligent switch located in a low voltage bay of the power distribution network;
according to the predicted value of the adjustment capability of each line, the intelligent switch in the corresponding line is controlled by adopting the corresponding control strategy to realize the reconstruction of the power distribution network, and the method comprises the following steps:
and according to a control strategy corresponding to the predictive value of the regulating capacity of each line, the reconstruction of the power distribution network is realized by controlling a secondary fusion on-column switch and/or an intelligent switch in the corresponding line.
In this embodiment, one or more of the secondary fused on-column switch and the smart switch may be controlled to perform network reconfiguration.
The first is that direct control wisdom switch just can reach distribution network reconfiguration, owing to there is distributed adjustable resource such as photovoltaic, energy storage at distribution network low pressure district, can all be connected to the well voltage district of distribution network through wisdom switch interconnection mode network deployment, just so can break through the restriction of the inherent capacity of district, realize the dynamic capacity increase. Aiming at the problems of large load fluctuation and high power supply reliability requirement, the power consumption requirement of high-power random load can be met, the purposes of adjustable and controllable power flow, flexible access of new energy, optimization of distribution transformer load rate, seasonal load fluctuation control and reliable and safe power supply of important loads are realized.
The distributed new energy is accessed into the power distribution network, so that the 'double-high' characteristic of the power distribution network is more obvious, and the demand of bearing the power grid support and support on distributed resources is more urgent. The traditional distributed power converter adopts a 'grid following' control mode, can only run in a grid connection mode, can not run off the grid, and can not support the inertial support of the voltage and the frequency of the power grid. The self-response of the distributed new energy source is fast, the power controllability is strong, the inherent inertial damping characteristic of the system deficiency is compensated, and reliable voltage and frequency support can be provided for the power distribution network.
The second type is to directly control a secondary fusion on-pole switch, medium-voltage lines of a medium-voltage transformer area in the power distribution network can be interconnected back to back and cross-region, and comprehensive sensing, data fusion and intelligent application of key power distribution equipment such as the medium-voltage power distribution lines, ring main units and on-pole switches are realized through informationized construction of node equipment of the medium-voltage power distribution network lines, so that the lean management requirement of the power distribution network is met. In the embodiment, the switching of the medium-voltage line can be realized by controlling the secondary fusion on-column switch, so that the reconstruction of the power distribution network is realized.
The third is that simultaneous control wisdom switch and secondary fuse on-column switch, because secondary fuses on-column switch and is located the medium-voltage district, wisdom switch is located the low-voltage district to can realize hierarchical control's of layering purpose, make the distribution network reconstruct more reliably.
In the implementation process, real-time data of a line in a power distribution network are acquired, an intelligent switch is arranged on the line in the power distribution network, and the line in the power distribution network comprises a line which is connected to the power distribution network through the intelligent switch by distributed adjustable resources; then, based on the real-time data, adopting a preset adjustment capacity quantization data model to conduct adjustment capacity prediction on the lines to obtain adjustment capacity prediction values of all the lines; then judging whether the power distribution network reconstruction is needed according to the real-time data; under the condition that the power distribution network reconstruction is determined to be needed, according to the adjustment capability predicted value of each line, the intelligent switch in the line is controlled by adopting a corresponding control strategy to realize the power distribution network reconstruction. When the power distribution network is required to be reconstructed, the circuit with the distributed adjustable resources is adjusted by controlling the intelligent switch, so that the reconstruction of the power distribution network is realized, the reliable voltage and frequency support can be provided by utilizing the inherent inertia damping characteristics of the distributed adjustable resources, such as quick self-response, strong power controllability and missing compensation system, thereby meeting the low-voltage transformer area with larger load fluctuation and high power supply reliability requirement, realizing the adjustable and controllable power flow, flexible access of new energy, optimizing distribution transformer load rate and guaranteeing the reliable and safe power supply of important loads. The preset adjustment capability quantization data model is adopted to predict the adjustment capability, so that the adjustment capability can be predicted in advance, the accurate adjustment of the line is facilitated, global optimization is realized, the reconstruction of the power distribution network is more intelligent, the power supply reliability of the power distribution area is effectively improved, and the reconstruction reliability of the power distribution network is further improved. The distributed adjustable resources are participated in the line control, so that the low-voltage transformer area can be balanced on site, the regulation and control capability and the safety of the power distribution network can be enhanced, and the overall operation efficiency is improved. Through control wisdom switch and secondary fuse on-column switch, can realize hierarchical control's of layering purpose, further improved distribution network reconstruction's reliability.
Fig. 1 is a flow diagram of a reconfigurable method for a power distribution network based on intelligent switches in one embodiment. It should be understood that, although the steps in the flowchart of fig. 1 are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in fig. 1 may include multiple sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, nor do the order in which the sub-steps or stages are performed necessarily performed in sequence, but may be performed alternately or alternately with at least a portion of other steps or sub-steps of other steps.
The embodiment of the invention provides a power distribution network reconfigurable system based on an intelligent switch, which is used for realizing the power distribution network reconfigurable method based on the intelligent switch, and comprises the following steps: control equipment, intelligent switches and distributed adjustable resources; the intelligent switch is arranged on a line in the power distribution network; the distributed adjustable resources are accessed into a circuit of the power distribution network through the intelligent switch;
The control device is used for: acquiring real-time data of each line in the power distribution network, and predicting the adjustment capacity of the corresponding line by adopting a preset adjustment capacity quantization data model based on the real-time data of each line to obtain an adjustment capacity predicted value of each line; the method is also used for judging whether the reconstruction of the power distribution network is needed or not according to the real-time data of each line; under the condition that the power distribution network reconstruction is determined to be needed, according to the adjustment capacity predicted value of each line, the intelligent switch in the corresponding line is controlled by adopting the corresponding control strategy to realize the power distribution network reconstruction.
In this embodiment, the control device is a device having data processing capability and computing capability, and may be a computer, an intelligent device, or the like.
In the implementation process, the control equipment predicts the adjustment capacity of the lines by adopting a preset adjustment capacity quantization data model based on the acquired real-time data to obtain the adjustment capacity predicted value of each line; then judging whether the power distribution network reconstruction is needed according to the real-time data; under the condition that the power distribution network reconstruction is determined to be needed, according to the adjustment capability predicted value of each line, the intelligent switch in the line is controlled by adopting a corresponding control strategy to realize the power distribution network reconstruction. When the power distribution network is required to be reconstructed, the circuit with the distributed adjustable resources is adjusted by controlling the intelligent switch, so that the reconstruction of the power distribution network is realized, the reliable voltage and frequency support can be provided by utilizing the inherent inertia damping characteristics of the distributed adjustable resources, such as quick self-response, strong power controllability and missing compensation system, thereby meeting the low-voltage transformer area with larger load fluctuation and high power supply reliability requirement, realizing the adjustable and controllable power flow, flexible access of new energy, optimizing distribution transformer load rate and managing seasonal load fluctuation, and guaranteeing the reliable and safe power supply of important loads. The preset adjustment capability quantization data model is adopted to predict the adjustment capability, so that the adjustment capability can be predicted in advance, the accurate adjustment of the line is facilitated, global optimization is realized, the reconstruction of the power distribution network is more intelligent, the power supply reliability of the power distribution area is effectively improved, and the reconstruction reliability of the power distribution network is further improved. The distributed adjustable resources are participated in the line control, so that the low-voltage transformer area can be balanced on site, the regulation and control capability and the safety of the power distribution network can be enhanced, and the overall operation efficiency is improved.
The intelligent switches comprise a plurality of intelligent switches positioned in a low-voltage area of the power distribution network, the intelligent switches are respectively connected with terminals of the low-voltage area of the power distribution network, and the intelligent switches are connected with the control equipment; the terminal of the low-voltage distribution network area comprises distributed adjustable resources and a user terminal.
In this embodiment, the smart switch is the same as the smart switch mentioned in the power distribution network reconfigurable method based on the smart switch, and will not be described herein. The distributed adjustable resources and the user terminals can be accessed into the power distribution network through the intelligent switch, so that the power distribution network can be conveniently reconstructed.
In some embodiments, the control device includes an intelligent fusion terminal, where the intelligent fusion terminal is located in a medium-voltage transformer area of the power distribution network; the intelligent switches are respectively connected with the intelligent fusion terminal.
In this embodiment, the intelligent fusion terminal is an edge proxy device integrating distribution and power consumption information acquisition of a distribution area based on research and development of an independent chip, is core equipment of the distribution internet of things, can flexibly access and acquire operation data of various low-voltage intelligent equipment such as intelligent electric meters, various power consumption acquisition terminals, charging piles, three-phase unbalanced management devices, leakage protectors and the like, realizes plug and play among the equipment, interconnection and intercommunication, supports distribution and power consumption information acquisition of the distribution area, realizes plug and play among the equipment, interconnection and intercommunication, and supports distribution and power consumption data homologous acquisition. The intelligent fusion terminal sends a command to the intelligent switch, so that the circuit can be controlled, and the reconstruction of the power distribution network is realized.
In some embodiments, the control device further comprises a master station, and the master station is connected with the intelligent fusion terminal;
the master station is used for constructing an adjustment capability quantization data model and issuing the adjustment capability quantization data model to the intelligent fusion terminal;
the intelligent fusion terminal is used for acquiring real-time data of each line in the power distribution network, and based on the real-time data of each line, adopting a preset adjustment capacity quantization data model to predict adjustment capacity of a corresponding line, and obtaining an adjustment capacity prediction value of each line; the method is also used for judging whether the reconstruction of the power distribution network is needed or not according to the real-time data of each line; under the condition that the power distribution network reconstruction is determined to be needed, according to the adjustment capacity predicted value of each line, the intelligent switch in the corresponding line is controlled by adopting the corresponding control strategy to realize the power distribution network reconstruction.
In this embodiment, in order to reduce the calculated amount of the intelligent fusion terminal and facilitate comprehensive regulation, a master station is designed, the intelligent fusion terminal and the master station cooperatively interact, access management and control of a platform area source, a network, a load and a storage are realized through an intelligent switch, a photovoltaic grid-connected switch and the like, power load distribution is flexibly regulated and controlled, and bidirectional power flow of a distribution network is optimized. The master station may be a cloud master station.
The intelligent switch further comprises a secondary fusion column switch, wherein the secondary fusion column switch is located in a medium-voltage transformer area of the power distribution network, and the secondary fusion column switch is connected with the master station.
In the embodiment, a secondary fusion on-column switch and a main station cooperatively interact to coordinate the stable operation of the load (low-voltage distribution transformer area, medium-voltage direct-supply large-load user, multi-energy coupling load, flexible load, adjustable load and special line large-load user) and the power supply (10 kV photovoltaic power station, 10kV energy storage power station, small-sized pumping and storage power station, transformer substation bus, other medium-voltage grids and other forms of energy stations) in the medium-voltage transformer area. Based on the cooperative allocation of the primary station and the secondary fusion on-column switch, the medium-voltage transformer area mutual aid is realized by utilizing adjustable resources to participate in cooperative control; and a cooperative control strategy is formulated by relying on a master station comprehensive scheduling management and control system, so that global optimization is realized.
In some embodiments, the master station is further connected with a switch station of the medium-voltage transformer area, and the switch station and the master station interactively receive master station regulation and control, so that self-healing of the power distribution network can be realized.
Referring to fig. 4, fig. 4 schematically shows a block diagram of a reconfigurable device for a power distribution network based on intelligent switches according to an embodiment of the application. Based on the same inventive concept, the embodiment of the application provides a reconfigurable device of a power distribution network based on an intelligent switch, which comprises an acquisition module 410, a prediction module 420, a judgment module 430 and a reconfiguration module 440, wherein:
An acquisition module 410, configured to acquire real-time data of each line in the power distribution network; the intelligent switches are arranged on all lines in the power distribution network, and the lines in the power distribution network comprise lines, which are connected to the power distribution network through the intelligent switches, of distributed adjustable resources;
the prediction module 420 is configured to predict the adjustment capability of the corresponding line by using a preset adjustment capability quantization data model based on real-time data of each line, so as to obtain a prediction value of the adjustment capability of each line;
the judging module 430 is configured to judge whether the power distribution network needs to be reconstructed according to the real-time data of each line;
and the reconstruction module 440 is configured to control the intelligent switches in the corresponding lines to implement the reconstruction of the power distribution network by adopting the corresponding control strategy according to the adjustment capability prediction value of each line under the condition that it is determined that the reconstruction of the power distribution network is required.
Wherein, still include:
the historical data acquisition module is used for acquiring historical operation data of each line in the power distribution network;
the model construction module is used for constructing and obtaining equivalent models corresponding to the lines based on the historical operation data of the lines;
and the model fusion module is used for fusing the equivalent models corresponding to the lines according to the lines based on the quantitative analysis of the rapid adjustment capability of the power distribution network to obtain quantitative data models corresponding to the adjustment capability of the lines.
The intelligent switch in the circuit comprises a secondary fusion column switch positioned in a medium-voltage transformer area of the power distribution network and an intelligent switch positioned in a low-voltage transformer area of the power distribution network;
the reconstruction module 440 includes:
and the switch control unit is used for realizing the reconstruction of the power distribution network through a secondary fusion on-column switch and/or the intelligent switch in the control circuit.
The reconfigurable device of the power distribution network based on the intelligent switch comprises a processor and a memory, wherein the acquisition module 410, the prediction module 420, the judgment module 430, the reconfiguration module 440 and the like are all stored in the memory as program units, and the processor executes the program modules stored in the memory to realize corresponding functions.
The processor includes a kernel, and the kernel fetches the corresponding program unit from the memory. The kernel can be provided with one or more than one, and the low-voltage transformer area with larger load fluctuation and high power supply reliability requirement is realized by adjusting kernel parameters.
The memory may include volatile memory, random Access Memory (RAM), and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM), among other forms in computer readable media, the memory including at least one memory chip.
The embodiment of the invention provides a machine-readable storage medium, and a program is stored on the machine-readable storage medium, and when the program is executed by a processor, the method for reconstructing the distribution network based on the intelligent switch is realized.
The embodiment of the invention provides a processor which is used for running a program, wherein the program runs to execute the intelligent switch-based power distribution network reconstruction method.
In one embodiment, a computer device is provided, which may be a terminal, and the internal structure of which may be as shown in fig. 5. The computer apparatus includes a processor a01, a network interface a02, a display screen a04, an input device a05, and a memory (not shown in the figure) which are connected through a system bus. Wherein the processor a01 of the computer device is adapted to provide computing and control capabilities. The memory of the computer device includes an internal memory a03 and a nonvolatile storage medium a06. The nonvolatile storage medium a06 stores an operating system B01 and a computer program B02. The internal memory a03 provides an environment for the operation of the operating system B01 and the computer program B02 in the nonvolatile storage medium a06. The network interface a02 of the computer device is used for communication with an external terminal through a network connection. The computer program, when executed by the processor a01, implements a reconfigurable method for a power distribution network based on intelligent switching. The display screen a04 of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device a05 of the computer device may be a touch layer covered on the display screen, or may be a key, a track ball or a touch pad arranged on a casing of the computer device, or may be an external keyboard, a touch pad or a mouse.
It will be appreciated by those skilled in the art that the structure shown in FIG. 5 is merely a block diagram of some of the structures associated with the present inventive arrangements and is not limiting of the computer device to which the present inventive arrangements may be applied, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
In one embodiment, the reconfigurable apparatus for a power distribution network based on intelligent switches provided by the present application may be implemented in the form of a computer program, which may be run on a computer device as shown in fig. 5. The memory of the computer device may store various program modules that make up the intelligent switch-based power distribution network reconfigurable apparatus, such as the acquisition module 410, the prediction module 420, the determination module 430, and the reconfiguration module 440 shown in fig. 4. The computer program constituted by the respective program modules causes the processor to execute the steps in the calling method of the file system of the respective embodiments of the present application described in the present specification.
The computer device shown in fig. 5 may perform step 210 through the acquisition module 410, the prediction module 420, the judgment module 430, and the reconstruction module 440 in the smart switch-based power distribution network reconfigurable apparatus shown in fig. 4, respectively, to perform step 220, step 230, and step 240.
The embodiment of the application provides equipment, which comprises a processor, a memory and a program stored in the memory and capable of running on the processor, wherein the processor realizes the following steps when executing the program:
acquiring real-time data of each line in the power distribution network; the intelligent switches are arranged on all lines in the power distribution network, and the lines in the power distribution network comprise lines which are connected to the power distribution network through the intelligent switches by distributed adjustable resources;
based on real-time data of each line, carrying out adjustment capacity prediction on the corresponding line by adopting a preset adjustment capacity quantization data model to obtain an adjustment capacity prediction value of each line;
judging whether the reconstruction of the power distribution network is needed according to the real-time data of each line;
under the condition that the power distribution network reconstruction is determined to be needed, according to the adjustment capacity predicted value of each line, the intelligent switch in the corresponding line is controlled by adopting the corresponding control strategy to realize the power distribution network reconstruction.
In one embodiment, the preset adjustment capability quantization data model construction process includes:
acquiring historical operation data of each line in the power distribution network;
based on the historical operation data of each line, constructing and obtaining an equivalent model corresponding to each line;
Based on quantitative analysis of the rapid adjustment capability of the power distribution network, the equivalent models corresponding to the lines are fused according to the lines, and the adjustment capability quantitative data model corresponding to the lines is obtained.
In one embodiment, the constructing, based on the historical operation data of each line, an equivalent model corresponding to each line includes:
simulating the resource information of the line under various operation scenes by adopting an unsupervised learning algorithm based on the historical operation data of the line to obtain a resource clustering model;
and carrying out physical parameter equivalence and control parameter equivalence on the resource clustering model by using an equivalent modeling method to obtain an equivalent model.
In one embodiment, the intelligent switches in the circuit comprise a secondary fused on-pole switch positioned in a medium-voltage transformer area of the power distribution network and an intelligent switch positioned in a low-voltage transformer area of the power distribution network;
according to the predicted value of the adjustment capability of each line, the intelligent switch in the corresponding line is controlled by adopting the corresponding control strategy to realize the reconstruction of the power distribution network, and the method comprises the following steps:
and according to a control strategy corresponding to the adjustment capacity predicted value of each line, the reconstruction of the power distribution network is realized by controlling a secondary fusion on-column switch and/or an intelligent switch in the corresponding line.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, etc., such as Read Only Memory (ROM) or flash RAM. Memory is an example of a computer-readable medium.
Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
It should also be noted that 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 an element.
The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and variations of the present application will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. which come within the spirit and principles of the application are to be included in the scope of the claims of the present application.

Claims (11)

1. The utility model provides a distribution network reconfigurable method based on intelligent switch which is characterized in that the method comprises the following steps:
acquiring real-time data of each line in the power distribution network; the intelligent switches are arranged on all lines in the power distribution network, and the lines in the power distribution network comprise lines which are connected to the power distribution network through the intelligent switches by distributed adjustable resources;
based on real-time data of each line, carrying out adjustment capacity prediction on the corresponding line by adopting a preset adjustment capacity quantization data model to obtain an adjustment capacity prediction value of each line;
judging whether the reconstruction of the power distribution network is needed according to the real-time data of each line;
under the condition that the power distribution network reconstruction is determined to be needed, controlling intelligent switches in corresponding lines by adopting corresponding control strategies according to the adjustment capacity predicted value of each line to realize the power distribution network reconstruction;
The preset adjustment capability quantization data model construction process comprises the following steps:
acquiring historical operation data of each line in the power distribution network;
based on the historical operation data of each line, constructing and obtaining an equivalent model corresponding to each line;
based on quantitative analysis of the rapid adjustment capability of the power distribution network, fusing equivalent models corresponding to all the lines according to the lines to obtain quantitative data models corresponding to all the lines;
the construction of the equivalent model corresponding to each line based on the historical operation data of each line comprises the following steps:
simulating the resource information of the line under various operation scenes by adopting an unsupervised learning algorithm based on the historical operation data of the line to obtain a resource clustering model; the resource clustering model comprises a centralized resource clustering model and a distributed resource clustering model in a distribution network;
and respectively carrying out physical parameter equivalence and control parameter equivalence on the centralized resource clustering model and the distributed resource clustering model in the distribution network by using an equivalent modeling method to obtain a plurality of equivalent models.
2. The intelligent switch-based power distribution network reconfiguration method of claim 1, wherein the intelligent switches in the circuit comprise a secondary fused on-pole switch located in a medium-voltage area of the power distribution network and an intelligent switch located in a low-voltage area of the power distribution network;
According to the predicted value of the adjustment capability of each line, the intelligent switch in the corresponding line is controlled by adopting the corresponding control strategy to realize the reconstruction of the power distribution network, and the method comprises the following steps:
and according to a control strategy corresponding to the adjustment capacity predicted value of each line, the reconstruction of the power distribution network is realized by controlling a secondary fusion on-column switch and/or an intelligent switch in the corresponding line.
3. A smart switch based power distribution network reconfigurable system for implementing the smart switch based power distribution network reconfigurable method of any of claims 1 to 2, comprising: control equipment, intelligent switches and distributed adjustable resources;
the intelligent switch is arranged on a line in the power distribution network; the distributed adjustable resources are accessed into a circuit of the power distribution network through the intelligent switch;
the control device is used for:
acquiring real-time data of each line in the power distribution network;
based on real-time data of each line, carrying out adjustment capacity prediction on the corresponding line by adopting a preset adjustment capacity quantization data model to obtain an adjustment capacity prediction value of each line;
judging whether the reconstruction of the power distribution network is needed according to the real-time data of each line; under the condition that the power distribution network reconstruction is determined to be needed, controlling intelligent switches in corresponding lines by adopting corresponding control strategies according to the adjustment capacity predicted value of each line to realize the power distribution network reconstruction;
The preset adjustment capability quantization data model construction process comprises the following steps:
acquiring historical operation data of each line in the power distribution network;
based on the historical operation data of each line, constructing and obtaining an equivalent model corresponding to each line;
based on quantitative analysis of the rapid adjustment capability of the power distribution network, fusing equivalent models corresponding to all the lines according to the lines to obtain quantitative data models corresponding to all the lines;
the construction of the equivalent model corresponding to each line based on the historical operation data of each line comprises the following steps:
simulating the resource information of the line under various operation scenes by adopting an unsupervised learning algorithm based on the historical operation data of the line to obtain a resource clustering model; the resource clustering model comprises a centralized resource clustering model and a distributed resource clustering model in a distribution network;
and respectively carrying out physical parameter equivalence and control parameter equivalence on the centralized resource clustering model and the distributed resource clustering model in the distribution network by using an equivalent modeling method to obtain a plurality of equivalent models.
4. The intelligent switch-based power distribution network reconfigurable system of claim 3, wherein the intelligent switch comprises a plurality of intelligent switches located in a low-voltage area of the power distribution network, the plurality of intelligent switches are respectively connected with terminals of the low-voltage area of the power distribution network, and the plurality of intelligent switches are all connected with the control device; the terminal of the low-voltage distribution network area comprises distributed adjustable resources and a user terminal.
5. The intelligent switch-based power distribution network reconfigurable system of claim 4, wherein the control device comprises an intelligent fusion terminal, the intelligent fusion terminal being located in a medium voltage area of the power distribution network; the intelligent switches are respectively connected with the intelligent fusion terminal.
6. The intelligent switch-based power distribution network reconfigurable system of claim 5, wherein the control device further comprises a master station, the master station being connected to the intelligent fusion terminal;
the master station is used for constructing an adjustment capability quantization data model and issuing the adjustment capability quantization data model to the intelligent fusion terminal;
the intelligent fusion terminal is used for acquiring real-time data of each line in the power distribution network, and based on the real-time data of each line, adopting a preset adjustment capacity quantization data model to predict adjustment capacity of a corresponding line, and obtaining an adjustment capacity prediction value of each line; the method is also used for judging whether the reconstruction of the power distribution network is needed or not according to the real-time data of each line; under the condition that the power distribution network reconstruction is determined to be needed, according to the adjustment capacity predicted value of each line, the intelligent switch in the corresponding line is controlled by adopting the corresponding control strategy to realize the power distribution network reconstruction.
7. The smart switch-based power distribution network reconfigurable system of claim 6, wherein the smart switch further comprises a secondary fused on-pole switch, the secondary fused on-pole switch being located in a medium voltage area of the power distribution network, the secondary fused on-pole switch being connected to the master station.
8. Reconfigurable device of distribution network based on intelligent switch, characterized by comprising:
the acquisition module is used for acquiring real-time data of each line in the power distribution network; the intelligent switches are arranged on all lines in the power distribution network, and the lines in the power distribution network comprise lines which are connected to the power distribution network through the intelligent switches by distributed adjustable resources;
the prediction module is used for predicting the adjustment capacity of the corresponding line by adopting a preset adjustment capacity quantization data model based on the real-time data of each line to obtain the adjustment capacity predicted value of each line;
the judging module is used for judging whether the power distribution network reconstruction is needed according to the real-time data of each line;
the reconfiguration module is used for controlling intelligent switches in corresponding lines to realize the reconfiguration of the power distribution network by adopting corresponding control strategies according to the adjustment capacity predicted value of each line under the condition that the reconfiguration of the power distribution network is determined to be required;
Wherein, still include:
the historical data acquisition module is used for acquiring historical operation data of each line in the power distribution network;
the model construction module is used for constructing and obtaining equivalent models corresponding to the lines based on the historical operation data of the lines; comprising the following steps: simulating the resource information of the line under various operation scenes by adopting an unsupervised learning algorithm based on the historical operation data of the line to obtain a resource clustering model; the resource clustering model comprises a centralized resource clustering model and a distributed resource clustering model in a distribution network; respectively carrying out physical parameter equivalence and control parameter equivalence on a centralized resource clustering model and a distributed resource clustering model in a distribution network by using an equivalent modeling method to obtain a plurality of equivalent models;
and the model fusion module is used for fusing the equivalent models corresponding to the lines according to the lines based on the quantitative analysis of the rapid adjustment capability of the power distribution network to obtain quantitative data models corresponding to the adjustment capability of the lines.
9. The smart switch-based power distribution network reconfigurable device of claim 8, wherein the smart switches in the circuit comprise a secondary fused on-pole switch located in a medium voltage area of the power distribution network and a smart switch located in a low voltage area of the power distribution network;
The reconstruction module comprises:
and the switch control unit is used for realizing the reconstruction of the power distribution network through a secondary fusion on-pole switch and/or an intelligent switch in the control circuit.
10. A processor configured to perform the smart switch-based power distribution network reconfiguration method according to any one of claims 1 to 2.
11. A machine-readable storage medium having instructions stored thereon, which when executed by a processor, cause the processor to be configured to perform the smart switch-based power distribution network reconstruction method according to any one of claims 1 to 2.
CN202310556702.7A 2023-05-17 2023-05-17 Reconfigurable method and system for power distribution network based on intelligent switch Active CN116365518B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202310556702.7A CN116365518B (en) 2023-05-17 2023-05-17 Reconfigurable method and system for power distribution network based on intelligent switch

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310556702.7A CN116365518B (en) 2023-05-17 2023-05-17 Reconfigurable method and system for power distribution network based on intelligent switch

Publications (2)

Publication Number Publication Date
CN116365518A CN116365518A (en) 2023-06-30
CN116365518B true CN116365518B (en) 2023-08-11

Family

ID=86926659

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202310556702.7A Active CN116365518B (en) 2023-05-17 2023-05-17 Reconfigurable method and system for power distribution network based on intelligent switch

Country Status (1)

Country Link
CN (1) CN116365518B (en)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107221937A (en) * 2017-06-27 2017-09-29 四川大学 Distribution network failure reconstruct and voltage control method and system based on distributed energy storage
CN109193652A (en) * 2018-10-30 2019-01-11 贵州电网有限责任公司 A kind of distribution network failure self-healing system containing distributed generation resource based on Situation Awareness
CN110932399A (en) * 2019-11-28 2020-03-27 上海宏力达信息技术股份有限公司 Intelligent switch regulation and control method and system for power grid, storage medium and terminal
CN115441502A (en) * 2022-09-13 2022-12-06 广东电网有限责任公司 Power supply recovery method, device and equipment based on distributed power supply and storage medium
CN115954862A (en) * 2022-11-08 2023-04-11 南方电网数字平台科技(广东)有限公司 Reconstruction method and device for power distribution network containing renewable energy sources

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112039070B (en) * 2020-09-09 2021-12-14 华北电力大学 Hierarchical network reconstruction method and system combining data and model hybrid drive

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107221937A (en) * 2017-06-27 2017-09-29 四川大学 Distribution network failure reconstruct and voltage control method and system based on distributed energy storage
CN109193652A (en) * 2018-10-30 2019-01-11 贵州电网有限责任公司 A kind of distribution network failure self-healing system containing distributed generation resource based on Situation Awareness
CN110932399A (en) * 2019-11-28 2020-03-27 上海宏力达信息技术股份有限公司 Intelligent switch regulation and control method and system for power grid, storage medium and terminal
CN115441502A (en) * 2022-09-13 2022-12-06 广东电网有限责任公司 Power supply recovery method, device and equipment based on distributed power supply and storage medium
CN115954862A (en) * 2022-11-08 2023-04-11 南方电网数字平台科技(广东)有限公司 Reconstruction method and device for power distribution network containing renewable energy sources

Also Published As

Publication number Publication date
CN116365518A (en) 2023-06-30

Similar Documents

Publication Publication Date Title
CN107359617B (en) Active power distribution network source-network-load coordination control system comprising micro-grid group
Zhao et al. A review of active management for distribution networks: current status and future development trends
Liu et al. The control and analysis of self-healing urban power grid
Bajwa et al. Enhancing power system resilience leveraging microgrids: A review
Ali et al. Hierarchical control of microgrid using IoT and machine learning based islanding detection
Jiang et al. A vision of smart transmission grids
Giri Proactive management of the future grid
CN109873499A (en) Intelligent distribution area management terminal
Lu et al. Design and application of microgrid operation control system based on IEC 61850
CN104505825A (en) Power supply safety diagnosis analysis method for high voltage distribution network
KR20100037317A (en) Multiple facts control system and method therefor
Jain et al. Overview of Energy Management Systems for Microgrids and Smart Grid
CN116365518B (en) Reconfigurable method and system for power distribution network based on intelligent switch
Recalde et al. A review of operation methods and simulation requirements for future smart distribution grids
CN108233361B (en) Garden microgrid-oriented hierarchical and partitioned cooperative control method for comprehensive energy supply system
Liu et al. Design of energy management system for Active Distribution Network
Shen et al. Comprehensive coordinated model of active distribution network planning
Prostejovsky et al. Autonomous service-restoration in smart distribution grids using Multi-Agent Systems
Salkuti Study on the performance indicators for smart grids: a comprehensive review
Gopalakrishnan Future Energy Systems
Kulasekera et al. Dual layered multi agent system for intentional islanding operation of microgrids
Dubey et al. The Role of Context and Resilient Middleware in Next Generation Smart Grids.
CN109784775A (en) A kind of micro-grid system dispatching method and device
Bonian et al. Use of Online Transient Stability and Voltage Stability Assessment Tools at State Grid China
Apostolov Integration of distributed energy resources in Smart Grids

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant