CN116722549B - Hierarchical control method and device for power distribution network based on high-precision simulation technology - Google Patents

Hierarchical control method and device for power distribution network based on high-precision simulation technology Download PDF

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CN116722549B
CN116722549B CN202311000792.8A CN202311000792A CN116722549B CN 116722549 B CN116722549 B CN 116722549B CN 202311000792 A CN202311000792 A CN 202311000792A CN 116722549 B CN116722549 B CN 116722549B
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distribution network
power
regional
simulation system
system corresponding
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CN116722549A (en
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何开元
刘科研
盛万兴
孟晓丽
王晨钟
贾东梨
叶学顺
白牧可
詹惠瑜
李昭
杨晓雨
马昊天
张博超
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China Electric Power Research Institute Co Ltd CEPRI
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China Electric Power Research Institute Co Ltd CEPRI
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/003Load forecast, e.g. methods or systems for forecasting future load demand
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation

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  • Power Engineering (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Hardware Design (AREA)
  • Evolutionary Computation (AREA)
  • Geometry (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention relates to the technical field of operation and maintenance control of a power distribution network, in particular to a layered control method and a layered control device of the power distribution network based on a high-precision simulation technology, which simulate an area power distribution network based on the high-precision simulation technology, respectively optimally control the area power distribution network with the goals of source load balance, equipment safety, energy conservation and loss reduction, and remarkably improve the efficient and flexible regulation and control in the system space scale range under the condition of massive controllable resource access by global optimization-on-site autonomous layered coordination, fully explore the potential of each element to participate in regulation and control, and improve the safe operation level of a system.

Description

Hierarchical control method and device for power distribution network based on high-precision simulation technology
Technical Field
The invention relates to the technical field of operation and maintenance control of power distribution networks, in particular to a hierarchical control method and device of a power distribution network based on a high-precision simulation technology.
Background
With the rapid development of a power system, the distributed power source is slowly replacing the traditional energy source, the distributed power source is large in quantity dispersion and different in output characteristics, the traditional centralized regulation and control mode is difficult to realize accurate control of each distributed power source, and the operation management level of the power distribution network in the high-efficiency clean energy source area is severely limited.
At present, research on the technical field of regional power distribution network safe operation control containing high-proportion clean energy sources is carried out at home and abroad, but consideration of a power distribution network safety domain in multi-level coordination optimization and layered partition research of the power distribution network is not comprehensive, and formulation of a multi-level coordination optimization strategy does not fully exert inter-layer complementary mutual-aid capability of a trans-regional; in addition, the situation awareness technology about the running state and the regulation capability of the power distribution network considering the uncertainty of the source load intensity is not yet elucidated at present, and effective fusion with the control of the source-network-load-storage and transportation of the power distribution network cannot be realized; moreover, at present, the research on the limit of the clean energy bearing capacity of the power distribution network facing the safe operation control is still in the starting stage, and the coordination control of the power supply capacity and the safety margin cannot be realized; simulation technologies supporting visual dynamic modeling and safe operation control of the power distribution network in the high-proportion clean energy region are also to be studied. Therefore, further research is still needed to improve the safety, reliability and flexibility of the operation control of the regional power distribution network.
Disclosure of Invention
In order to overcome the defects, the invention provides a layered control method and device for a power distribution network based on a high-precision simulation technology.
In a first aspect, a hierarchical control method for a power distribution network based on a high-precision simulation technology is provided, where the hierarchical control method for the power distribution network based on the high-precision simulation technology includes:
step S101, predicting source load power of a regional distribution network;
step S102, simulating the regional distribution network by taking a source load power prediction result as an initial condition to obtain a simulation system corresponding to the regional distribution network;
step S103, selecting a reconstruction strategy from a preset reconstruction strategy set by taking source load balancing as a target, if the selection is successful, executing step S105 after carrying out network reconstruction on a medium-voltage feeder line in a simulation system corresponding to the regional power distribution network by utilizing the reconstruction strategy, otherwise, executing step S104;
step S104, active power of a distributed power supply in a simulation system corresponding to the regional distribution network is regulated by taking equipment safety as a target, and step S105 is executed after a leaf end adaptation section of power grid equipment with a load ratio greater than 1 is disconnected;
step S105, adjusting reactive power of a distributed power supply and reactive power of a compensation device in a simulation system corresponding to the regional distribution network by taking energy conservation and loss reduction as targets;
step S106, optimizing transformer transformation ratio in a simulation system corresponding to the regional power distribution network;
Step S107, performing distribution network equipment-level self-checking on the simulation system corresponding to the regional distribution network, if the distribution network equipment-level self-checking is passed, outputting a layered control scheme of each basic distribution network calculation unit in the simulation system corresponding to the regional distribution network, otherwise, outputting abnormal equipment information;
wherein the hierarchical control scheme includes at least one of: the method comprises the steps of a reconstruction strategy, active power of a distributed power supply, reactive power of the distributed power supply, reactive power of a compensation device and transformer transformation ratio.
Preferably, when the regional distribution network is a high-voltage distribution network, each network communication unit in the simulation system corresponding to the regional distribution network is packaged as a module, and when the regional distribution network is a low-voltage distribution network, each feeder line in the simulation system corresponding to the regional distribution network is packaged as a module, and the module is used as a basic distribution network calculation unit.
Further, in the process of simulating the regional distribution network by taking the source load power prediction result as an initial condition, setting the voltage of the main network node of the basic distribution network computing unit to be 1.0pu for each source load prediction time section.
Further, the selecting a reconstruction policy from a preset reconstruction policy set with the source load balancing as a target includes:
Performing network reconstruction on a medium-voltage feeder line in a simulation system corresponding to the regional power distribution network by using each reconstruction strategy in a preset reconstruction strategy set, if the equipment capacity in the simulation system corresponding to the regional power distribution network after network reconstruction is not out of limit, taking the reconstruction strategy as an alternative reconstruction strategy, otherwise, rejecting the reconstruction strategy;
and taking the alternative reconstruction strategy corresponding to the first objective function value of the simulation system corresponding to the regional power distribution network after network reconstruction as the selected reconstruction strategy.
Further, the calculation formula of the first objective function value of the simulation system corresponding to the regional distribution network is as follows:
F 1 =∑ i∈S ∣P ig -P if
in the above, F 1 The first objective function value of the simulation system corresponding to the regional distribution network is S is a feeder line set in the simulation system corresponding to the regional distribution network, and P ig The sum of the active power of all distributed power sources on the ith feeder line in the simulation system corresponding to the regional distribution network is P if And the sum of the active power of all loads of the ith feeder line in the simulation system corresponding to the regional distribution network is obtained.
Further, the adjusting the active power of the distributed power supply in the simulation system corresponding to the regional distribution network with the equipment security as the target includes:
Active power of a distributed power supply in a simulation system corresponding to the regional power distribution network is set as a control variable;
the control variable is regulated to obtain a control variable which enables a second target value of the simulation system corresponding to the regional distribution network to be minimum and meets a first preset constraint condition, and active power of a distributed power supply in the simulation system corresponding to the regional distribution network is regulated based on the control variable;
wherein the first preset constraint condition includes: kirchhoff current constraints and kirchhoff voltage constraints.
Further, the calculation formula of the second target value of the simulation system corresponding to the regional distribution network is as follows:
F 2 =∑ j∈N c j k j
in the above, F 2 The second target value of the simulation system corresponding to the regional distribution network is N, and the power grid equipment set in the simulation system corresponding to the regional distribution network is C j Penalty constant k of jth power grid equipment in simulation system corresponding to regional power distribution network j For the load factor of the jth power grid equipment in the simulation system corresponding to the regional power distribution network, when the load factor of the jth power grid equipment in the simulation system corresponding to the regional power distribution network is greater than 1, k j When the load rate of the j-th power grid equipment in the simulation system corresponding to the regional power distribution network is less than or equal to 1, k is equal to 1 =1 j =0。
Further, the adjusting the reactive power of the distributed power supply and the reactive power of the compensation device in the simulation system corresponding to the regional distribution network with the energy saving and loss reduction as the target includes:
setting reactive power of a distributed power supply and reactive power of a compensation device in a simulation system corresponding to the regional distribution network as control variables;
and adjusting the control variable to obtain a control variable which enables a third target value of the simulation system corresponding to the regional distribution network to be minimum and meets a second preset constraint condition, and adjusting the reactive power of the distributed power supply and the reactive power of the compensation device in the simulation system corresponding to the regional distribution network based on the control variable.
Further, the calculation formula of the third target value of the simulation system corresponding to the regional distribution network is as follows:
in the above, F 3 Simulation corresponding to the regional distribution networkA third target value of the system, N is a power grid equipment set in the simulation system corresponding to the regional power distribution network, and V j The voltage matrix of the jth power grid equipment in the simulation system corresponding to the regional power distribution network is Y j An admittance matrix of the j-th power grid equipment in the simulation system corresponding to the regional power distribution network is adopted, T is a transposed symbol, Is a conjugate symbol.
Further, the second preset constraint condition includes: kirchhoff current constraint, kirchhoff voltage constraint, equipment capacity constraint, reactive power compensation device output constraint and distributed power supply reactive power constraint.
Further, the mathematical model of the reactive power constraint of the distributed power supply is as follows:
q g ≤p g tanθ
in the above, q g For reactive power of distributed power supply, p g And θ is the power angle corresponding to the minimum power factor of the distributed power supply.
Further, the optimizing the transformer transformation ratio in the simulation system corresponding to the regional power distribution network includes:
determining a transformer transformation ratio correction value based on the node number and the average node voltage amplitude of each feeder line in the simulation system corresponding to the regional distribution network;
and when the absolute difference value between the actual transformer ratio of the transformer in the simulation system corresponding to the regional distribution network and the transformer ratio correction value is in a preset range, adjusting the actual transformer ratio of the transformer to the transformer ratio correction value.
Further, the calculation formula of the transformer transformation ratio correction value is as follows:
U avg =(∑ i∈S N i U i )/(∑ i∈S N i )
in the above, U avg For the transformer transformation ratio correction value, N i For the number of nodes on the ith feeder line in the simulation system corresponding to the regional distribution network, U i And S is a feeder set in the simulation system corresponding to the regional distribution network.
Preferably, the performing power distribution network equipment-level self-checking on the simulation system corresponding to the regional power distribution network includes:
and carrying out power flow calculation on the simulation system corresponding to the regional power distribution network by adopting a Newton Lapherson power flow algorithm, if the simulation system corresponding to the regional power distribution network meets the power flow constraint, carrying out equipment-level self-checking on the power distribution network, otherwise, carrying out no equipment-level self-checking on the power distribution network.
In a second aspect, a hierarchical control device for a power distribution network based on a high-precision simulation technology is provided, where the hierarchical control device for a power distribution network based on the high-precision simulation technology includes:
the prediction module is used for predicting the source load power of the regional power distribution network;
the simulation module is used for simulating the regional distribution network by taking the source load power prediction result as an initial condition to obtain a simulation system corresponding to the regional distribution network;
the network reconstruction module is used for selecting a reconstruction strategy from a preset reconstruction strategy set by taking source load balancing as a target, if the selection is successful, executing a second control module after performing network reconstruction on a medium-voltage feeder line in a simulation system corresponding to the regional power distribution network by using the reconstruction strategy, otherwise, executing a first control module;
The first control module is used for adjusting the active power of the distributed power supply in the simulation system corresponding to the regional power distribution network by taking equipment safety as a target, and executing the second control module after disconnecting the leaf end adaptation section of the power grid equipment with the load rate larger than 1;
the second control module is used for adjusting the reactive power of the distributed power supply and the reactive power of the compensation device in the simulation system corresponding to the regional distribution network by taking energy conservation and loss reduction as targets and then executing the third control module;
the third control module is used for optimizing transformer transformation ratio in the simulation system corresponding to the regional distribution network;
the verification module is used for carrying out power distribution network equipment-level self-verification on the simulation system corresponding to the regional power distribution network, if the power distribution network equipment-level self-verification is passed, outputting a layered control scheme of each basic power distribution network calculation unit in the simulation system corresponding to the regional power distribution network, otherwise, outputting abnormal equipment information;
wherein the hierarchical control scheme includes at least one of: the method comprises the steps of a reconstruction strategy, active power of a distributed power supply, reactive power of the distributed power supply, reactive power of a compensation device and transformer transformation ratio.
In a third aspect, there is provided a computer device comprising: one or more processors;
The processor is used for storing one or more programs;
and when the one or more programs are executed by the one or more processors, the power distribution network layering control method based on the high-precision simulation technology is realized.
In a fourth aspect, a computer readable storage medium is provided, on which a computer program is stored, where the computer program is executed to implement the method for hierarchical control of a power distribution network based on a high-precision simulation technique.
The technical scheme provided by the invention has at least one or more of the following beneficial effects:
the invention provides a power distribution network layered control method based on a high-precision simulation technology, which comprises the following steps: step S101, predicting source load power of a regional distribution network; step S102, simulating the regional distribution network by taking a source load power prediction result as an initial condition to obtain a simulation system corresponding to the regional distribution network; step S103, selecting a reconstruction strategy from a preset reconstruction strategy set by taking source load balancing as a target, if the selection is successful, executing step S105 after carrying out network reconstruction on a medium-voltage feeder line in a simulation system corresponding to the regional power distribution network by utilizing the reconstruction strategy, otherwise, executing step S104; step S104, active power of a distributed power supply in a simulation system corresponding to the regional distribution network is regulated by taking equipment safety as a target, and step S105 is executed after a leaf end adaptation section of power grid equipment with a load ratio greater than 1 is disconnected; step S105, adjusting reactive power of a distributed power supply and reactive power of a compensation device in a simulation system corresponding to the regional distribution network by taking energy conservation and loss reduction as targets; step S106, optimizing transformer transformation ratio in a simulation system corresponding to the regional power distribution network; step S107, performing distribution network equipment-level self-checking on the simulation system corresponding to the regional distribution network, if the distribution network equipment-level self-checking is passed, outputting a layered control scheme of each basic distribution network calculation unit in the simulation system corresponding to the regional distribution network, otherwise, outputting abnormal equipment information; wherein the hierarchical control scheme includes at least one of: the method comprises the steps of a reconstruction strategy, active power of a distributed power supply, reactive power of the distributed power supply, reactive power of a compensation device and transformer transformation ratio. According to the technical scheme provided by the invention, through global optimization-on-site autonomous hierarchical coordination, the efficient and flexible regulation and control in the system space scale range under the condition of massive controllable resource access is obviously improved; the potential of each element participating in regulation and control is fully explored through a source-network-load-storage multi-element self-optimizing operation technology, and the safe operation level of the system is improved. The method can be applied to key technologies, equipment, strategies and typical scene tests and verification of important demonstration test point projects such as power distribution network demonstration projects under high-proportion clean energy access, can be popularized and applied in various units in each place, and realizes comprehensive analysis, simulation test and verification of source-network-load-storage coordinated operation.
Drawings
Fig. 1 is a schematic flow chart of main steps of a hierarchical control method of a power distribution network based on a high-precision simulation technology according to an embodiment of the present invention;
fig. 2 is a main structural block diagram of a hierarchical control device for a power distribution network based on a high-precision simulation technology according to an embodiment of the present invention.
Detailed Description
The following describes the embodiments of the present invention in further detail with reference to the drawings.
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As disclosed in the background art, with the rapid development of the power system, the distributed power source is gradually replacing the traditional energy source, the distributed power source is greatly dispersed and has different output characteristics, the traditional centralized control mode is difficult to realize the accurate control of each distributed power source, and the operation management level of the power distribution network in the high-efficiency clean energy area is severely limited.
At present, research on the technical field of regional power distribution network safe operation control containing high-proportion clean energy sources is carried out at home and abroad, but consideration of a power distribution network safety domain in multi-level coordination optimization and layered partition research of the power distribution network is not comprehensive, and formulation of a multi-level coordination optimization strategy does not fully exert inter-layer complementary mutual-aid capability of a trans-regional; in addition, the situation awareness technology about the running state and the regulation capability of the power distribution network considering the uncertainty of the source load intensity is not yet elucidated at present, and effective fusion with the control of the source-network-load-storage and transportation of the power distribution network cannot be realized; moreover, at present, the research on the limit of the clean energy bearing capacity of the power distribution network facing the safe operation control is still in the starting stage, and the coordination control of the power supply capacity and the safety margin cannot be realized; simulation technologies supporting visual dynamic modeling and safe operation control of the power distribution network in the high-proportion clean energy region are also to be studied. Therefore, further research is still needed to improve the safety, reliability and flexibility of the operation control of the regional power distribution network.
In order to improve the problems, the invention provides a power distribution network layering control method based on a high-precision simulation technology, which comprises the following steps: step S101, predicting source load power of a regional distribution network; step S102, simulating the regional distribution network by taking a source load power prediction result as an initial condition to obtain a simulation system corresponding to the regional distribution network; step S103, selecting a reconstruction strategy from a preset reconstruction strategy set by taking source load balancing as a target, if the selection is successful, executing step S105 after carrying out network reconstruction on a medium-voltage feeder line in a simulation system corresponding to the regional power distribution network by utilizing the reconstruction strategy, otherwise, executing step S104; step S104, active power of a distributed power supply in a simulation system corresponding to the regional distribution network is regulated by taking equipment safety as a target, and step S105 is executed after a leaf end adaptation section of power grid equipment with a load ratio greater than 1 is disconnected; step S105, adjusting reactive power of a distributed power supply and reactive power of a compensation device in a simulation system corresponding to the regional distribution network by taking energy conservation and loss reduction as targets; step S106, optimizing transformer transformation ratio in a simulation system corresponding to the regional power distribution network; step S107, performing distribution network equipment-level self-checking on the simulation system corresponding to the regional distribution network, if the distribution network equipment-level self-checking is passed, outputting a layered control scheme of each basic distribution network calculation unit in the simulation system corresponding to the regional distribution network, otherwise, outputting abnormal equipment information; wherein the hierarchical control scheme includes at least one of: the method comprises the steps of a reconstruction strategy, active power of a distributed power supply, reactive power of the distributed power supply, reactive power of a compensation device and transformer transformation ratio. According to the technical scheme provided by the invention, through global optimization-on-site autonomous hierarchical coordination, the efficient and flexible regulation and control in the system space scale range under the condition of massive controllable resource access is obviously improved; the potential of each element participating in regulation and control is fully explored through a source-network-load-storage multi-element self-optimizing operation technology, and the safe operation level of the system is improved. The method can be applied to key technologies, equipment, strategies and typical scene tests and verification of important demonstration test point projects such as power distribution network demonstration projects under high-proportion clean energy access, can be popularized and applied in various units in each place, and realizes comprehensive analysis, simulation test and verification of source-network-load-storage coordinated operation.
The above-described scheme is explained in detail below.
Example 1
Referring to fig. 1, fig. 1 is a schematic flow chart of main steps of a hierarchical control method of a power distribution network based on a high-precision simulation technology according to an embodiment of the present invention. As shown in fig. 1, the power distribution network hierarchical control method based on the high-precision simulation technology in the embodiment of the invention mainly comprises the following steps:
step S101, predicting source load power of a regional distribution network;
step S102, simulating the regional distribution network by taking a source load power prediction result as an initial condition to obtain a simulation system corresponding to the regional distribution network;
step S103, selecting a reconstruction strategy from a preset reconstruction strategy set by taking source load balancing as a target, if the selection is successful, executing step S105 after carrying out network reconstruction on a medium-voltage feeder line in a simulation system corresponding to the regional power distribution network by utilizing the reconstruction strategy, otherwise, executing step S104;
step S104, active power of a distributed power supply in a simulation system corresponding to the regional distribution network is regulated by taking equipment safety as a target, and step S105 is executed after a leaf end adaptation section of power grid equipment with a load ratio greater than 1 is disconnected;
step S105, adjusting reactive power of a distributed power supply and reactive power of a compensation device in a simulation system corresponding to the regional distribution network by taking energy conservation and loss reduction as targets;
Step S106, optimizing transformer transformation ratio in a simulation system corresponding to the regional power distribution network;
step S107, performing distribution network equipment-level self-checking on the simulation system corresponding to the regional distribution network, if the distribution network equipment-level self-checking is passed, outputting a layered control scheme of each basic distribution network calculation unit in the simulation system corresponding to the regional distribution network, otherwise, outputting abnormal equipment information;
wherein the hierarchical control scheme includes at least one of: the method comprises the steps of a reconstruction strategy, active power of a distributed power supply, reactive power of the distributed power supply, reactive power of a compensation device and transformer transformation ratio.
In this embodiment, when the regional power distribution network is a high-voltage power distribution network, each network communication unit in the simulation system corresponding to the regional power distribution network is packaged as a module, and when the regional power distribution network is a low-voltage power distribution network, each feeder line in the simulation system corresponding to the regional power distribution network is packaged as a module, and the module is used as a basic power distribution network calculation unit.
In the process of simulating the regional distribution network by taking the source load power prediction result as an initial condition, setting the voltage of a main network node of a basic distribution network calculation unit to be 1.0pu for each source load prediction time section.
In a specific embodiment, the step S101 may be implemented as follows:
historical meteorological data and holiday data are extracted, wherein the meteorological data need to comprise data such as temperature, wind power, humidity and the like, and the holiday data need to comprise data such as holiday date, special activities and the like; and establishing a data vector, and carrying out normalization processing on each dimension of data.
And establishing a prediction model based on meteorological data, holiday data and distributed power supply data, and predicting by adopting a mode identification method.
In a specific embodiment, the step S102 may be implemented as follows:
searching by taking a transformer as a starting point and taking a bus incoming line and an outgoing line switch as boundaries, and modularizing related equipment into a station; the three elements of the transformer, the bus and the switch are automatically mapped by using the primary map layout of the classical transformer substation.
And according to the voltage level, carrying out primary decomposition on the distribution network instance by taking the station as a boundary.
For a high-voltage distribution network, carrying out topology analysis based on communication, and packaging each network communication unit into a module; topology auto-mapping is achieved using a d3.Js force directed graph.
For a medium-low voltage distribution network, carrying out topology analysis based on the feeder lines, wherein each feeder line is packaged into a module; topology auto-mapping is achieved using a d3.Js force directed graph.
And finishing topology automatic mapping, wherein the modules constructed in the process are basic distribution network calculation units.
In one embodiment, the selecting a reconstruction policy from a preset reconstruction policy set with the source load balancing as a target includes:
performing network reconstruction on a medium-voltage feeder line in a simulation system corresponding to the regional power distribution network by using each reconstruction strategy in a preset reconstruction strategy set, if the equipment capacity in the simulation system corresponding to the regional power distribution network after network reconstruction is not out of limit, taking the reconstruction strategy as an alternative reconstruction strategy, otherwise, rejecting the reconstruction strategy;
and taking the alternative reconstruction strategy corresponding to the first objective function value of the simulation system corresponding to the regional power distribution network after network reconstruction as the selected reconstruction strategy.
The calculation formula of the first objective function value of the simulation system corresponding to the regional power distribution network is as follows:
F 1 =∑ i∈S ∣P ig -P if
in the above, F 1 The first objective function value of the simulation system corresponding to the regional distribution network is S is a feeder line set in the simulation system corresponding to the regional distribution network, and P ig The sum of the active power of all distributed power sources on the ith feeder line in the simulation system corresponding to the regional distribution network is P if And the sum of the active power of all loads of the ith feeder line in the simulation system corresponding to the regional distribution network is obtained.
In one embodiment, the adjusting, with the objective of equipment security, active power of a distributed power source in a simulation system corresponding to the regional power distribution network includes:
active power of a distributed power supply in a simulation system corresponding to the regional power distribution network is set as a control variable;
the control variable is regulated to obtain a control variable which enables a second target value of the simulation system corresponding to the regional distribution network to be minimum and meets a first preset constraint condition, and active power of a distributed power supply in the simulation system corresponding to the regional distribution network is regulated based on the control variable;
wherein the first preset constraint condition includes: kirchhoff current constraints and kirchhoff voltage constraints.
The calculation formula of the second target value of the simulation system corresponding to the regional power distribution network is as follows:
F 2 =∑ j∈N c j k j
in the above, F 2 The second target value of the simulation system corresponding to the regional distribution network is N, and the power grid equipment set in the simulation system corresponding to the regional distribution network is C j The default value of the penalty constant of the j-th power grid equipment in the simulation system corresponding to the regional power distribution network is 1000000, k j For the load factor of the jth power grid equipment in the simulation system corresponding to the regional power distribution network, when the load factor of the jth power grid equipment in the simulation system corresponding to the regional power distribution network is greater than 1, k j When the load rate of the j-th power grid equipment in the simulation system corresponding to the regional power distribution network is less than or equal to 1, k is equal to 1 =1 j =0。
In an embodiment, the adjusting the reactive power of the distributed power source and the reactive power of the compensation device in the simulation system corresponding to the regional distribution network with the goal of energy saving and loss reduction includes:
setting reactive power of a distributed power supply and reactive power of a compensation device in a simulation system corresponding to the regional distribution network as control variables;
and adjusting the control variable to obtain a control variable which enables a third target value of the simulation system corresponding to the regional distribution network to be minimum and meets a second preset constraint condition, and adjusting the reactive power of the distributed power supply and the reactive power of the compensation device in the simulation system corresponding to the regional distribution network based on the control variable.
The calculation formula of the third target value of the simulation system corresponding to the regional power distribution network is as follows:
in the above, F 3 N is a power grid equipment set in the simulation system corresponding to the regional power distribution network and V is a third target value of the simulation system corresponding to the regional power distribution network j The voltage matrix of the jth power grid equipment in the simulation system corresponding to the regional power distribution network is Y j An admittance matrix of the j-th power grid equipment in the simulation system corresponding to the regional power distribution network is adopted, T is a transposed symbol,is a conjugate symbol.
The second preset constraint condition includes: kirchhoff current constraint, kirchhoff voltage constraint, equipment capacity constraint, reactive power compensation device output constraint and distributed power supply reactive power constraint.
The mathematical model of the reactive power constraint of the distributed power supply is as follows:
q g ≤p g tanθ
in the above, q g For reactive power of distributed power supply, p g And θ is the power angle corresponding to the minimum power factor of the distributed power supply.
In one embodiment, the optimizing the transformer transformation ratio in the simulation system corresponding to the regional distribution network includes:
determining a transformer transformation ratio correction value based on the node number and the average node voltage amplitude of each feeder line in the simulation system corresponding to the regional distribution network;
and when the absolute difference value between the actual transformer ratio of the transformer in the simulation system corresponding to the regional distribution network and the transformer ratio correction value is in a preset range, adjusting the actual transformer ratio of the transformer to the transformer ratio correction value.
The calculation formula of the transformer transformation ratio correction value is as follows:
U avg =(∑ i∈S N i U i )/(∑ i∈S N i )
in the above, U avg For the transformer transformation ratio correction value, N i For the number of nodes on the ith feeder line in the simulation system corresponding to the regional distribution network, U i And S is a feeder set in the simulation system corresponding to the regional distribution network.
In this embodiment, the performing power distribution network device-level self-verification on the simulation system corresponding to the regional power distribution network includes:
and carrying out power flow calculation on the simulation system corresponding to the regional power distribution network by adopting a Newton Lapherson power flow algorithm, if the simulation system corresponding to the regional power distribution network meets the power flow constraint, carrying out equipment-level self-checking on the power distribution network, otherwise, carrying out no equipment-level self-checking on the power distribution network.
In a specific embodiment, the step S107 may be implemented as follows:
1) The method is aimed at the whole distribution network instance, and is directly calculated through Newton Laporton tide algorithm; if not, turning to the step 7-2), otherwise turning to the step 3).
2) And sequencing the basic distribution network calculation units according to the voltage from low to high, and initializing the balance node voltage of the basic distribution network calculation units to be 1.0pu. Sequentially using Newton Laporton power flow algorithm to calculate basic distribution network calculation units, and transmitting active power and reactive power to source terminal connection units by leaf terminal units; after one traversal is completed, the Newton Lapherson power flow algorithm is used for calculation in a reverse order, and a source terminal unit transmits voltage amplitude values to a leaf terminal connection unit; the push-forward back process described above is repeated until the computation converges.
3) And for single-node connection equipment such as distributed power supplies, loads and energy storage, acquiring the voltage amplitude of the node of the connection point in the power flow calculation, and judging whether the corresponding distributed power supplies, loads and energy storage can be supported for normal operation.
4) Aiming at equipment such as a switch, a transformer, a line, a switch and the like, current or power of the equipment in load flow calculation is obtained, and whether overload phenomenon exists is judged.
5) If no equipment for judging abnormality exists, integrating and outputting a coordination control strategy; otherwise, outputting abnormal equipment information and carrying out risk early warning.
Example 2
Based on the same inventive concept, the invention also provides a power distribution network layering control device based on the high-precision simulation technology, as shown in fig. 2, the power distribution network layering control device based on the high-precision simulation technology comprises:
the prediction module is used for predicting the source load power of the regional power distribution network;
the simulation module is used for simulating the regional distribution network by taking the source load power prediction result as an initial condition to obtain a simulation system corresponding to the regional distribution network;
the network reconstruction module is used for selecting a reconstruction strategy from a preset reconstruction strategy set by taking source load balancing as a target, if the selection is successful, executing a second control module after performing network reconstruction on a medium-voltage feeder line in a simulation system corresponding to the regional power distribution network by using the reconstruction strategy, otherwise, executing a first control module;
The first control module is used for adjusting the active power of the distributed power supply in the simulation system corresponding to the regional power distribution network by taking equipment safety as a target, and executing the second control module after disconnecting the leaf end adaptation section of the power grid equipment with the load rate larger than 1;
the second control module is used for adjusting the reactive power of the distributed power supply and the reactive power of the compensation device in the simulation system corresponding to the regional distribution network by taking energy conservation and loss reduction as targets and then executing the third control module;
the third control module is used for optimizing transformer transformation ratio in the simulation system corresponding to the regional distribution network;
the verification module is used for carrying out power distribution network equipment-level self-verification on the simulation system corresponding to the regional power distribution network, if the power distribution network equipment-level self-verification is passed, outputting a layered control scheme of each basic power distribution network calculation unit in the simulation system corresponding to the regional power distribution network, otherwise, outputting abnormal equipment information;
wherein the hierarchical control scheme includes at least one of: the method comprises the steps of a reconstruction strategy, active power of a distributed power supply, reactive power of the distributed power supply, reactive power of a compensation device and transformer transformation ratio.
Preferably, when the regional distribution network is a high-voltage distribution network, each network communication unit in the simulation system corresponding to the regional distribution network is packaged as a module, and when the regional distribution network is a low-voltage distribution network, each feeder line in the simulation system corresponding to the regional distribution network is packaged as a module, and the module is used as a basic distribution network calculation unit.
Further, in the process of simulating the regional distribution network by taking the source load power prediction result as an initial condition, setting the voltage of the main network node of the basic distribution network computing unit to be 1.0pu for each source load prediction time section.
Further, the selecting a reconstruction policy from a preset reconstruction policy set with the source load balancing as a target includes:
performing network reconstruction on a medium-voltage feeder line in a simulation system corresponding to the regional power distribution network by using each reconstruction strategy in a preset reconstruction strategy set, if the equipment capacity in the simulation system corresponding to the regional power distribution network after network reconstruction is not out of limit, taking the reconstruction strategy as an alternative reconstruction strategy, otherwise, rejecting the reconstruction strategy;
and taking the alternative reconstruction strategy corresponding to the first objective function value of the simulation system corresponding to the regional power distribution network after network reconstruction as the selected reconstruction strategy.
Further, the calculation formula of the first objective function value of the simulation system corresponding to the regional distribution network is as follows:
F 1 =∑ i∈S ∣P ig -P if
in the above, F 1 The first objective function value of the simulation system corresponding to the regional distribution network is S is a feeder line set in the simulation system corresponding to the regional distribution network, and P ig The sum of the active power of all distributed power sources on the ith feeder line in the simulation system corresponding to the regional distribution network is P if And the sum of the active power of all loads of the ith feeder line in the simulation system corresponding to the regional distribution network is obtained.
Further, the adjusting the active power of the distributed power supply in the simulation system corresponding to the regional distribution network with the equipment security as the target includes:
active power of a distributed power supply in a simulation system corresponding to the regional power distribution network is set as a control variable;
the control variable is regulated to obtain a control variable which enables a second target value of the simulation system corresponding to the regional distribution network to be minimum and meets a first preset constraint condition, and active power of a distributed power supply in the simulation system corresponding to the regional distribution network is regulated based on the control variable;
wherein the first preset constraint condition includes: kirchhoff current constraints and kirchhoff voltage constraints.
Further, the calculation formula of the second target value of the simulation system corresponding to the regional distribution network is as follows:
F 2 =∑ j∈N c j k j
in the above, F 2 The second target value of the simulation system corresponding to the regional distribution network is N, and the power grid equipment set in the simulation system corresponding to the regional distribution network is C j Penalty constant k of jth power grid equipment in simulation system corresponding to regional power distribution network j For the load factor of the jth power grid equipment in the simulation system corresponding to the regional power distribution network, when the load factor of the jth power grid equipment in the simulation system corresponding to the regional power distribution network is greater than 1, k j When the load rate of the j-th power grid equipment in the simulation system corresponding to the regional power distribution network is less than or equal to 1, k is equal to 1 =1 j =0。
Further, the adjusting the reactive power of the distributed power supply and the reactive power of the compensation device in the simulation system corresponding to the regional distribution network with the energy saving and loss reduction as the target includes:
setting reactive power of a distributed power supply and reactive power of a compensation device in a simulation system corresponding to the regional distribution network as control variables;
and adjusting the control variable to obtain a control variable which enables a third target value of the simulation system corresponding to the regional distribution network to be minimum and meets a second preset constraint condition, and adjusting the reactive power of the distributed power supply and the reactive power of the compensation device in the simulation system corresponding to the regional distribution network based on the control variable.
Further, the calculation formula of the third target value of the simulation system corresponding to the regional distribution network is as follows:
In the above, F 3 N is a power grid equipment set in the simulation system corresponding to the regional power distribution network and V is a third target value of the simulation system corresponding to the regional power distribution network j The voltage matrix of the jth power grid equipment in the simulation system corresponding to the regional power distribution network is Y j An admittance matrix of the j-th power grid equipment in the simulation system corresponding to the regional power distribution network is adopted, T is a transposed symbol,is a conjugate symbol.
Further, the second preset constraint condition includes: kirchhoff current constraint, kirchhoff voltage constraint, equipment capacity constraint, reactive power compensation device output constraint and distributed power supply reactive power constraint.
Further, the mathematical model of the reactive power constraint of the distributed power supply is as follows:
q g ≤p g tanθ
in the above, q g For reactive power of distributed power supply, p g And θ is the power angle corresponding to the minimum power factor of the distributed power supply.
Further, the optimizing the transformer transformation ratio in the simulation system corresponding to the regional power distribution network includes:
determining a transformer transformation ratio correction value based on the node number and the average node voltage amplitude of each feeder line in the simulation system corresponding to the regional distribution network;
and when the absolute difference value between the actual transformer ratio of the transformer in the simulation system corresponding to the regional distribution network and the transformer ratio correction value is in a preset range, adjusting the actual transformer ratio of the transformer to the transformer ratio correction value.
Further, the calculation formula of the transformer transformation ratio correction value is as follows:
U avg =(∑ i∈S N i U i )/(∑ i∈S N i )
in the above, U avg To be the instituteThe transformation ratio correction value of the transformer, N i For the number of nodes on the ith feeder line in the simulation system corresponding to the regional distribution network, U i And S is a feeder set in the simulation system corresponding to the regional distribution network.
Preferably, the performing power distribution network equipment-level self-checking on the simulation system corresponding to the regional power distribution network includes:
and carrying out power flow calculation on the simulation system corresponding to the regional power distribution network by adopting a Newton Lapherson power flow algorithm, if the simulation system corresponding to the regional power distribution network meets the power flow constraint, carrying out equipment-level self-checking on the power distribution network, otherwise, carrying out no equipment-level self-checking on the power distribution network.
Example 3
Based on the same inventive concept, the invention also provides a computer device comprising a processor and a memory for storing a computer program comprising program instructions, the processor for executing the program instructions stored by the computer storage medium. The processor may be a central processing unit (Central Processing Unit, CPU), but may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application SpecificIntegrated Circuit, ASIC), off-the-shelf Programmable gate arrays (FPGAs) or other Programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc., which are computing cores and control cores of the terminal adapted to implement one or more instructions, in particular to load and execute one or more instructions in a computer storage medium to implement the corresponding method flow or corresponding functions, to implement the steps of a hierarchical control method for a distribution network based on high-precision simulation technology in the above embodiments.
Example 4
Based on the same inventive concept, the present invention also provides a storage medium, in particular, a computer readable storage medium (Memory), which is a Memory device in a computer device, for storing programs and data. It is understood that the computer readable storage medium herein may include both built-in storage media in a computer device and extended storage media supported by the computer device. The computer-readable storage medium provides a storage space storing an operating system of the terminal. Also stored in the memory space are one or more instructions, which may be one or more computer programs (including program code), adapted to be loaded and executed by the processor. The computer readable storage medium herein may be a high-speed RAM memory or a non-volatile memory (non-volatile memory), such as at least one magnetic disk memory. One or more instructions stored in a computer-readable storage medium may be loaded and executed by a processor to implement the steps of a power distribution network hierarchical control method based on a high-precision simulation technique in the above embodiments.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention 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 invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. 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.
Finally, it should be noted that: the above embodiments are only for illustrating the technical aspects of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the above embodiments, it should be understood by those of ordinary skill in the art that: modifications and equivalents may be made to the specific embodiments of the invention without departing from the spirit and scope of the invention, which is intended to be covered by the claims.

Claims (10)

1. The utility model provides a distribution network layering control method based on high accuracy simulation technique which characterized in that, the method includes:
step S101, predicting source load power of a regional distribution network;
step S102, simulating the regional distribution network by taking a source load power prediction result as an initial condition to obtain a simulation system corresponding to the regional distribution network;
step S103, selecting a reconstruction strategy from a preset reconstruction strategy set by taking source load balancing as a target, if the selection is successful, executing step S105 after carrying out network reconstruction on a medium-voltage feeder line in a simulation system corresponding to the regional power distribution network by utilizing the reconstruction strategy, otherwise, executing step S104;
step S104, active power of a distributed power supply in a simulation system corresponding to the regional distribution network is regulated by taking equipment safety as a target, and step S105 is executed after a leaf end adaptation section of power grid equipment with a load ratio greater than 1 is disconnected;
step S105, adjusting reactive power of a distributed power supply and reactive power of a compensation device in a simulation system corresponding to the regional distribution network by taking energy conservation and loss reduction as targets;
step S106, optimizing transformer transformation ratio in a simulation system corresponding to the regional power distribution network;
step S107, performing distribution network equipment-level self-checking on the simulation system corresponding to the regional distribution network, if the distribution network equipment-level self-checking is passed, outputting a layered control scheme of each basic distribution network calculation unit in the simulation system corresponding to the regional distribution network, otherwise, outputting abnormal equipment information;
Wherein the hierarchical control scheme includes at least one of: the method comprises the steps of a reconstruction strategy, active power of a distributed power supply, reactive power of the distributed power supply, reactive power of a compensation device and transformer transformation ratio;
when the regional power distribution network is a high-voltage power distribution network, each network communication unit in the simulation system corresponding to the regional power distribution network is packaged into a module, and when the regional power distribution network is a low-voltage power distribution network, each feeder line in the simulation system corresponding to the regional power distribution network is packaged into a module, and the module is used as a basic power distribution network calculation unit;
in the process of simulating the regional distribution network by taking the source load power prediction result as an initial condition, setting the node voltage of a main network of a basic distribution network calculation unit to be 1.0pu for each source load prediction time section;
the reactive power of the distributed power supply and the reactive power of the compensation device in the simulation system corresponding to the regional distribution network are adjusted by taking energy conservation and loss reduction as targets, and the reactive power adjustment method comprises the following steps:
setting reactive power of a distributed power supply and reactive power of a compensation device in a simulation system corresponding to the regional distribution network as control variables;
the control variable is regulated to obtain a control variable which enables a third target value of the simulation system corresponding to the regional distribution network to be minimum and meets a second preset constraint condition, and reactive power of a distributed power supply and reactive power of a compensation device in the simulation system corresponding to the regional distribution network are regulated based on the control variable;
The calculation formula of the third target value of the simulation system corresponding to the regional distribution network is as follows:
F 3 =∑ j∈N (V j ) T (Y j V j ) *
in the above, F 3 N is a power grid equipment set in the simulation system corresponding to the regional power distribution network and V is a third target value of the simulation system corresponding to the regional power distribution network j The voltage matrix of the jth power grid equipment in the simulation system corresponding to the regional power distribution network is Y j An admittance matrix of the j-th power grid equipment in the simulation system corresponding to the regional power distribution network is represented by a transposed symbol, and a conjugated symbol is represented by T;
the second preset constraint condition includes: kirchhoff current constraint, kirchhoff voltage constraint, equipment capacity constraint, reactive power compensation device output constraint and distributed power supply reactive power constraint.
2. The method of claim 1, wherein selecting a reconstruction policy from a set of preset reconstruction policies targeting source load balancing comprises:
performing network reconstruction on a medium-voltage feeder line in a simulation system corresponding to the regional power distribution network by using each reconstruction strategy in a preset reconstruction strategy set, if the equipment capacity in the simulation system corresponding to the regional power distribution network after network reconstruction is not out of limit, taking the reconstruction strategy as an alternative reconstruction strategy, otherwise, rejecting the reconstruction strategy;
Taking an alternative reconstruction strategy corresponding to the area distribution network after network reconstruction when the first objective function value of the simulation system corresponding to the area distribution network is minimum as a selected reconstruction strategy;
the calculation formula of the first objective function value of the simulation system corresponding to the regional power distribution network is as follows:
F 1 =∑ i∈S ∣P ig -P if
in the above, F 1 The first objective function value of the simulation system corresponding to the regional distribution network is S is a feeder line set in the simulation system corresponding to the regional distribution network, and P ig The sum of the active power of all distributed power sources on the ith feeder line in the simulation system corresponding to the regional distribution network is P if And the sum of the active power of all loads of the ith feeder line in the simulation system corresponding to the regional distribution network is obtained.
3. The method of claim 1, wherein the adjusting the active power of the distributed power source in the simulation system corresponding to the regional distribution network with the objective of equipment safety includes:
active power of a distributed power supply in a simulation system corresponding to the regional power distribution network is set as a control variable;
the control variable is regulated to obtain a control variable which enables a second target value of the simulation system corresponding to the regional distribution network to be minimum and meets a first preset constraint condition, and active power of a distributed power supply in the simulation system corresponding to the regional distribution network is regulated based on the control variable;
Wherein the first preset constraint condition includes: kirchhoff current constraints and kirchhoff voltage constraints;
the calculation formula of the second target value of the simulation system corresponding to the regional power distribution network is as follows:
F 2 =∑ j∈N c j k j
in the above, F 2 The second target value of the simulation system corresponding to the regional distribution network is N, and the power grid equipment set in the simulation system corresponding to the regional distribution network is C j Penalty constant k of jth power grid equipment in simulation system corresponding to regional power distribution network j The j-th simulation system corresponding to the regional distribution networkThe load factor of the power grid equipment is k when the load factor of the jth power grid equipment in the simulation system corresponding to the regional power distribution network is greater than 1 j When the load rate of the j-th power grid equipment in the simulation system corresponding to the regional power distribution network is less than or equal to 1, k is equal to 1 =1 j =0。
4. The method of claim 1, wherein the mathematical model of the distributed power supply reactive power constraint is as follows:
q g ≤p g tanθ
in the above, q g For reactive power of distributed power supply, p g And θ is the power angle corresponding to the minimum power factor of the distributed power supply.
5. The method of claim 1, wherein optimizing transformer transformation ratios in a simulation system corresponding to the regional distribution network comprises:
Determining a transformer transformation ratio correction value based on the node number and the average node voltage amplitude of each feeder line in the simulation system corresponding to the regional distribution network;
and when the absolute difference value between the actual transformer ratio of the transformer in the simulation system corresponding to the regional distribution network and the transformer ratio correction value is in a preset range, adjusting the actual transformer ratio of the transformer to the transformer ratio correction value.
6. The method of claim 5, wherein the transformer ratio correction value is calculated as follows:
U avg =(∑ i∈S N i U i )/( ∑ i∈S N i )
in the above, U avg For the transformer transformation ratio correction value, N i For the number of nodes on the ith feeder line in the simulation system corresponding to the regional distribution network, U i And S is a feeder set in the simulation system corresponding to the regional distribution network.
7. The method of claim 1, wherein performing distribution network equipment-level self-verification on the simulation system corresponding to the regional distribution network comprises:
and carrying out power flow calculation on the simulation system corresponding to the regional power distribution network by adopting a Newton Lapherson power flow algorithm, if the simulation system corresponding to the regional power distribution network meets the power flow constraint, carrying out equipment-level self-checking on the power distribution network, otherwise, carrying out no equipment-level self-checking on the power distribution network.
8. An apparatus for a hierarchical control method of a power distribution network based on the high-precision simulation technique of any one of claims 1 to 7, characterized in that the apparatus comprises:
the prediction module is used for predicting the source load power of the regional power distribution network;
the simulation module is used for simulating the regional distribution network by taking the source load power prediction result as an initial condition to obtain a simulation system corresponding to the regional distribution network;
the network reconstruction module is used for selecting a reconstruction strategy from a preset reconstruction strategy set by taking source load balancing as a target, if the selection is successful, executing a second control module after performing network reconstruction on a medium-voltage feeder line in a simulation system corresponding to the regional power distribution network by using the reconstruction strategy, otherwise, executing a first control module;
the first control module is used for adjusting the active power of the distributed power supply in the simulation system corresponding to the regional power distribution network by taking equipment safety as a target, and executing the second control module after disconnecting the leaf end adaptation section of the power grid equipment with the load rate larger than 1;
the second control module is used for adjusting the reactive power of the distributed power supply and the reactive power of the compensation device in the simulation system corresponding to the regional distribution network by taking energy conservation and loss reduction as targets and then executing the third control module;
The third control module is used for optimizing transformer transformation ratio in the simulation system corresponding to the regional distribution network;
the verification module is used for carrying out power distribution network equipment-level self-verification on the simulation system corresponding to the regional power distribution network, if the power distribution network equipment-level self-verification is passed, outputting a layered control scheme of each basic power distribution network calculation unit in the simulation system corresponding to the regional power distribution network, otherwise, outputting abnormal equipment information;
wherein the hierarchical control scheme includes at least one of: the method comprises the steps of a reconstruction strategy, active power of a distributed power supply, reactive power of the distributed power supply, reactive power of a compensation device and transformer transformation ratio.
9. A computer device, comprising: one or more processors;
the processor is used for storing one or more programs;
the method for hierarchical control of a power distribution network based on high-precision simulation techniques as claimed in any one of claims 1 to 7 is implemented when said one or more programs are executed by said one or more processors.
10. A computer-readable storage medium, on which a computer program is stored, which computer program, when executed, implements the method for hierarchical control of a distribution network based on high-precision simulation techniques as claimed in any one of claims 1 to 7.
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