CN110970891A - Power distribution network elastic lifting method based on multi-energy coordination in extreme weather - Google Patents

Power distribution network elastic lifting method based on multi-energy coordination in extreme weather Download PDF

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CN110970891A
CN110970891A CN201911038098.9A CN201911038098A CN110970891A CN 110970891 A CN110970891 A CN 110970891A CN 201911038098 A CN201911038098 A CN 201911038098A CN 110970891 A CN110970891 A CN 110970891A
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distribution network
power distribution
fault
extreme weather
energy
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孙旭日
张松
李文升
孙振海
彭博
魏振
郭英雷
杜雅昕
张婷婷
徐建春
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Qingdao Power Supply Co of State Grid Shandong Electric Power Co Ltd
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Qingdao Power Supply Co of State Grid Shandong Electric Power Co Ltd
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    • 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
    • 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

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Abstract

The utility model provides a distribution network elastic lifting method based on multi-energy coordination in extreme weather, which combines the disaster-causing mechanism of extreme weather to the distribution network to simulate the disturbance process; analyzing the vulnerability of the power distribution network element under extreme weather disturbance, and establishing an element fault rate model; generating a probabilistic fault scene of the power distribution network based on a time-varying fault rate curve, and acquiring successive fault positions and fault moments of the power distribution network in a disturbance process; the response process of the comprehensive energy system after the power distribution network fails is simulated, the optimal load reduction strategy of the power distribution network is adopted in the simulation process, the principle that the power distribution network preferentially ensures important load power supply is taken as a target, the power distribution network is supported through multi-energy coordination, and the optimal coordination scheme is determined, so that the elasticity of the power distribution network is improved.

Description

Power distribution network elastic lifting method based on multi-energy coordination in extreme weather
Technical Field
The disclosure belongs to the technical field of elastic coordination of power distribution networks, and relates to a power distribution network elastic lifting method based on multi-energy coordination in extreme weather.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
Extreme weather disasters are frequent due to severe global climate changes, great threats are brought to safe and stable operation of a power distribution network, large-scale power failure accidents are often caused, and serious social and economic losses are caused. Therefore, the power distribution network is required to continuously provide safe, reliable, high-quality and economic electric energy to users under normal operation conditions, and further has certain disaster resistance capability under extreme weather disturbance to ensure continuous and stable supply of the electric energy, which is called elasticity. The elasticity of the power distribution network is used for reflecting the capability of minimizing the influence range of disasters, ensuring the continuous power supply of key loads and rapidly recovering power failure loads in the extreme event of small probability-high loss. Considering the strong influence of climate abnormality, the frequency and severity of such extreme weather events are expected to increase continuously in the future, and it is important to take corresponding measures to improve the elasticity of the power distribution network.
Under the dual background of energy crisis and environmental pollution, Integrated Energy Systems (IES) have rapidly developed by virtue of their superior energy utilization efficiency and renewable energy consumption capability. In the IES, a power distribution network is closely coupled with a heating system and a natural gas system through a series of energy conversion devices such as a Gas Turbine (GT), a combined heat and power cogeneration unit (CHP), a Gas Boiler (GB), and the like, so that flexible conversion and coordination and complementation of various energy forms such as electricity, heat, gas, and the like are realized, and more flexible and effective fault coping strategies are provided for the power distribution network. Under the background of comprehensive energy, when the power distribution network has large-area power failure due to extreme weather disturbance, the power supply after the power distribution network fault can be supported based on other energy forms of multi-energy coordinated and utilized and tight coupling, the load loss is reduced, the recovery process is accelerated, and a new thought is provided for the elasticity improvement of the power distribution network. Therefore, the method for improving the elasticity of the power distribution network based on the multi-energy coordination in the extreme weather has important significance.
However, according to the knowledge of the inventor, the elastic lifting method of the power distribution network has the following problems:
(1) the most common is to modify the strengthening strategies of high-strength lines or overhead lines into the ground, and other elements, but the modification cost of the power distribution network is limited, so that the measures cannot be implemented in a large area, and the elastic improvement effect is limited. Other researches for improving elasticity through emergency control and recovery control after disasters mostly stay in a theoretical analysis level, and lack of application background;
(2) the power supply supporting effect of other tightly coupled energy systems on the fault and recovery process of the power distribution network under the background of comprehensive energy is not considered, and the huge potential of multi-energy coordination on the elastic promotion of the power distribution network is ignored;
(3) different dynamic characteristics of various energy systems are not considered, and the process of supporting and supplying power in a multi-energy coordination mode after a fault cannot be accurately simulated.
Disclosure of Invention
The method comprises the steps of simulating the process of supporting power supply by mutually coordinating other closely coupled energy sources in a comprehensive energy system after the power distribution network fails, and optimizing the process, so that the elasticity of the power distribution network is effectively improved.
According to some embodiments, the following technical scheme is adopted in the disclosure:
a distribution network elastic lifting method based on multi-energy coordination in extreme weather comprises the following steps:
(1) simulating a disturbance process of the distribution network by combining a disaster-causing mechanism of extreme weather on the distribution network;
(2) analyzing the vulnerability of the power distribution network element under extreme weather disturbance, and establishing an element fault rate model;
(3) generating a probabilistic fault scene of the power distribution network based on a time-varying fault rate curve, and acquiring successive fault positions and fault moments of the power distribution network in a disturbance process;
(4) the response process of the comprehensive energy system after the power distribution network fails is simulated, the optimal load reduction strategy of the power distribution network is adopted in the simulation process, the principle that the power distribution network preferentially ensures important load power supply is taken as a target, the power distribution network is supported through multi-energy coordination, and the optimal coordination scheme is determined, so that the elasticity of the power distribution network is improved.
In an alternative embodiment, in the step (1), typhoon is taken as a representative of extreme weather, and the disaster causing process of large-scale disconnection and pole collapse of the power distribution network caused by typhoon crossing is analyzed.
As an alternative embodiment, in the step (1), a Batts model is used for simulating a typhoon passing process, the wind speed and the wind direction of each point in a typhoon influence area are determined, and the wind load of a typhoon disturbance action on a power distribution network wire and a pole and the wire section tension and the pole body section bending moment caused by the wind load are calculated.
As an alternative embodiment, in the step (2), according to the structural reliability theory, when the strength of the element is smaller than the load effect borne by the element, the element is judged to have a vulnerability fault; the tensile strength of the power distribution network wire and the bending strength of the electric pole are subjected to normal distribution, and an element fault rate model is constructed by combining a specific strength probability density function to obtain an element vulnerability curve.
As an alternative embodiment, in the step (3), the time-varying fault rate curve of each line of the power distribution network is obtained by combining a time-varying wind speed curve during the typhoon crossing process and a distribution line vulnerability curve, wherein the wind speed is an intermediate variable for transmitting the correlation relationship.
As an alternative embodiment, in step (3), a power distribution network fault scenario is generated by using a probabilistic method based on state sampling: at all times during the typhoon crossing, the sampling process is repeated for all lines in the distribution network to determine successive fault locations and corresponding fault occurrence times for the distribution network.
In the step (4), in the comprehensive energy system, if only the power distribution network fails in typhoon extreme weather and the pipeline is not damaged, the power distribution network is tightly coupled with the heat supply system and the natural gas system through the gas turbine, the cogeneration unit and the gas boiler energy conversion unit.
In the step (4), after the power distribution network fails, the energy conversion unit in the comprehensive energy system serves as a standby power supply and is coordinated to supply power to an isolated island in the power distribution network due to failure and isolation of a main network through gas-electricity conversion and various energy requirements, load loss is reduced to improve elasticity of the power distribution network, the load importance degree is considered, and a process of multi-energy coordination supporting power supply is simulated based on an optimal load reduction model of the power distribution network.
In the step (4), when the process of multi-energy coordination support power supply is analyzed, different dynamic characteristics of three energy systems of electricity, heat and gas are considered, wherein a power distribution network adopts a quasi-steady-state model, a heat supply system adopts a steady-state model, and a natural gas system adopts a quasi-dynamic model.
In the step (4), the load loss of the power distribution network in the typhoon disturbance process is used as an evaluation index, the effect of the elasticity of the power distribution network is quantitatively evaluated, and the optimal scheme is confirmed.
A distribution network elastic lifting system based on multi-energy coordination in extreme weather comprises:
the disturbance model building module is configured to simulate a disturbance process of the distribution network in combination with a disaster-causing mechanism of extreme weather on the distribution network;
the vulnerability analysis module is configured to analyze the vulnerability of the power distribution network element under extreme weather disturbance and establish an element fault rate model;
the fault scene analysis module is configured to generate a probabilistic fault scene of the power distribution network based on the time-varying fault rate curve, and obtain successive fault positions and fault moments of the power distribution network in a disturbance process;
the coordination support simulation module is configured to simulate the response process of the comprehensive energy system after the power distribution network fails, an optimal load reduction strategy of the power distribution network is adopted in the simulation process, the principle that the power distribution network preferentially ensures important load power supply is taken as a target, the power distribution network is supported through multi-energy coordination, and an optimal coordination scheme is determined to improve the elasticity of the power distribution network.
A computer readable storage medium, wherein a plurality of instructions are stored, the instructions are adapted to be loaded by a processor of a terminal device and execute the steps of the method for improving the elasticity of the distribution network based on multi-energy coordination in extreme weather.
A terminal device comprising a processor and a computer readable storage medium, the processor being configured to implement instructions; the computer readable storage medium is used for storing a plurality of instructions, and the instructions are suitable for being loaded by a processor and executing the steps of the distribution network elasticity improving method based on multi-energy coordination in extreme weather.
Compared with the prior art, the beneficial effect of this disclosure is:
(1) according to the method, the elasticity improvement of the power distribution network in extreme weather is combined with the comprehensive energy background, other closely coupled energy systems are used for supplying power to the fault power distribution network, additional equipment investment is not required to be increased, and the application prospect is good;
(2) the method considers different dynamic characteristics of various energy systems, more accurately tracks the process of multi-energy coordination support power supply after the fault, and accords with the actual operation condition;
(3) the method effectively reduces the load loss of the power distribution network in the process of bearing extreme weather disturbance, has good elastic lifting effect of the power distribution network and high comprehensive energy utilization rate, and fully develops the huge potential of multi-energy coordination on elastic lifting of the power distribution network.
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The accompanying drawings, which are included to provide a further understanding of the disclosure, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure and are not to limit the disclosure.
FIG. 1 is a flow chart provided by the present disclosure;
FIG. 2 is a schematic diagram provided by the present disclosure illustrating a distribution network elastic response process in terms of load curves;
FIG. 3 is a wiring diagram of an IEEE 33 node power distribution network provided by the present disclosure;
FIG. 4 is a wiring diagram of a 5-node heating system provided by the present disclosure;
FIG. 5 is a 7-node natural gas system wiring diagram provided by the present disclosure;
fig. 6 is a power distribution network elastic response process actual load curve under the scenario of presence or absence of multipotential coordination provided by the present disclosure.
The specific implementation mode is as follows:
the present disclosure is further described with reference to the following drawings and examples.
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present disclosure. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
As shown in fig. 1, a distribution network elastic lifting method based on multi-energy coordination in extreme weather includes the following steps:
(1) determining the wind speed and the wind direction of each point of the power distribution network on a typhoon wind field simulation circle according to the typhoon position and the travelling parameters, and calculating the wire section tension and the pole body section bending moment born by the distribution line;
(2) respectively establishing element fault rate models of the lead and the electric pole according to a structural reliability theory, deducing the fault rate of the distribution line based on the series model, and associating the fault rate with the corresponding wind speed to obtain a vulnerability curve of the distribution line under typhoon disturbance;
(3) on the basis of a time-varying fault rate curve of a distribution line, sequentially judging whether each line has a fault at each moment by a state sampling method, determining a fault line and a fault moment in the distribution network, and generating a probabilistic fault scene;
(4) the comprehensive energy system simulates the process that the power distribution network is supported and powered in a multi-energy coordination mode after the power distribution network fails, an optimal load reduction strategy is adopted for the power distribution network after the failure, the loss of important loads is minimized, and the elasticity of the power distribution network is improved;
(5) and extracting elasticity evaluation indexes from the elastic response process of the power distribution network, quantitatively evaluating the elasticity of the power distribution network, and selecting an optimal scheme.
In the step (1), the wind speed of each point of the distribution network on the simulation circle of the typhoon wind field is related to the distance from the point to the center of the typhoon, and the calculation formula is as follows:
Figure BDA0002252098940000081
in the formula: vrWherein, the wind speed is the wind speed, and the wind direction is the anticlockwise tangential direction on the simulated circle; r is the distance from the point to the center of the typhoon; rmaxIs the maximum wind speed radius.
And (2) according to the structural reliability theory, when the strength of the element is smaller than the load effect borne by the element, judging that the element has a fragile fault. The tensile strength of a wire of a power distribution network and the bending strength of an electric pole are known to obey normal distribution, an element fault rate model is built by combining a specific strength probability density function, and the element fault rate models of the wire and the electric pole are respectively built:
Figure BDA0002252098940000082
in the formula: p is a radical ofwAnd ppThe failure rates of the lead and the electric pole are respectively; sigmagAnd MTRespectively the wire section tension born by the distribution line and the pole body section bending moment.
And (3) equating the line as an element series model, and deducing the fault rate of the distribution line according to the fault rates of the single conductor and the electric pole element in each grade:
Figure BDA0002252098940000083
in the formula: p is the fault rate of the distribution line; n iswThe number of the conducting wire grades on the distribution line; n ispThe number of the electric poles; p is a radical ofw,kThe fault rate of the k-th conductor on the line is obtained; p is a radical ofp,kThe failure rate of the kth pole on the line. All failure rates are the real-time wind speed V at the linerAnd (4) correlating the function with the corresponding wind speed to obtain a vulnerability curve of the distribution line under the typhoon disturbance.
And (3) combining the vulnerability curve of the distribution line with the time-varying wind speed curve when the typhoon passes through the boundary to obtain the time-varying fault rate curve of each line. On the basis of a time-varying fault rate curve of the distribution line, whether each line has a fault at each moment is sequentially judged by a state sampling method, and if the moment t after the typhoon landing is, a random number uniformly distributed between [0 and 1] is taken for the ith line to be compared with the fault rate, so that the state of the distribution line at the moment is judged:
Figure BDA0002252098940000091
in the formula: n is a radical ofi,tIs a random number; p is a radical ofi,tThe current fault rate of the line is obtained; si,tIn the state of the distribution line at this time, 0 indicates a line fault, and 1 indicates a normal operation.
And repeating the sampling process on all the distribution lines during the typhoon passing period, determining fault lines and fault moments in the distribution network, and generating a probabilistic fault scene of the distribution network.
In the step (4), the process of power supply through multi-energy coordination support after the power distribution network fault is simulated, a power distribution network optimal load reduction strategy is adopted, the principle that the power distribution network preferentially ensures important load power supply is taken as a target, and the target function is as follows:
Figure BDA0002252098940000092
in the formula：wiThe weight of the load on the node i is determined by the importance degree of the load and is divided into 3 grades, and the weights are respectively 1, 0.1 and 0.01; tau isi,tThe load active power loss amount of the node i at the time t.
The constraints include network constraints and operation constraints of the distribution network, the heating system and the natural gas system, respectively.
And describing the power flow of the power distribution network by adopting a Dist-flow model based on second-order cone relaxation. The constraints considered include:
dist-flow constraint:
Figure BDA0002252098940000101
Figure BDA0002252098940000102
Figure BDA0002252098940000103
Figure BDA0002252098940000104
Figure BDA0002252098940000105
Figure BDA0002252098940000106
in the formula: Ω (i) is a set of branches with node i as a tail node; Θ (i) is a set of branches with node i as the head node; pji,tAnd Qji,tRespectively the active power and the reactive power of the head end of the branch ji at the time t; pi,tAnd Qi,tNet active and reactive power injection quantities at node i, respectively;
Figure BDA0002252098940000107
and
Figure BDA0002252098940000108
the active power output by the GT and the CHP on the node i respectively;
Figure BDA0002252098940000109
and
Figure BDA00022520989400001010
the reactive power output by GT and CHP respectively;
Figure BDA00022520989400001011
and
Figure BDA00022520989400001012
respectively an active load and a reactive load on a node i; u shapei,tIs the node voltage; i isji,tIs a branch current; r isjiAnd xjiBranch resistance and reactance respectively; deltai,tAnd the load reactive power loss amount of the node i at the time t.
Load reduction constraint:
Figure BDA00022520989400001013
Figure BDA0002252098940000111
node voltage constraint:
Figure BDA0002252098940000112
in the formula: u shapeimaxAnd UiminThe voltage upper and lower limits of node i.
And (3) branch current constraint:
Figure BDA0002252098940000113
in the formula: i isjimaxThe upper current limit for branch ji.
Unit climbing restraint:
Figure BDA0002252098940000114
Figure BDA0002252098940000115
in the formula: RU and RD are the ramp up and ramp down rates of GT and CHP, respectively.
The heating system adopts a control strategy of constant flow and variable temperature. The constraints considered include:
and (3) thermal power constraint:
Figure BDA0002252098940000116
in the formula:
Figure BDA0002252098940000117
and
Figure BDA0002252098940000118
thermal power output by the CHP and thermal load of the node i respectively; m isi,tIs the mass flow of hot water at node i;
Figure BDA0002252098940000119
and
Figure BDA00022520989400001110
respectively the heating temperature and the regenerative temperature at the node i.
Temperature mixing restraint:
Figure BDA00022520989400001111
Figure BDA00022520989400001112
in the formula:
Figure BDA00022520989400001113
is the mass flow of hot water in the pipe ji.
Heat supply and regenerative temperature constraint:
Figure BDA0002252098940000121
Figure BDA0002252098940000122
in the formula:
Figure BDA0002252098940000123
and
Figure BDA0002252098940000124
upper and lower limits of the heating temperature for the nodes;
Figure BDA0002252098940000125
and
Figure BDA0002252098940000126
the upper limit and the lower limit of the node regenerative temperature are shown.
A set of differential equations approximated by partial differential equations is used to create a quasi-dynamic model of the natural gas system, taking into account the dynamics of the gas flow. The constraints considered include:
and (3) airflow dynamic constraint:
Figure BDA0002252098940000127
Figure BDA0002252098940000128
in the formula: rhoi,tIs the gas density at node i at time t; mi,tIs the mass flow of gas at node i; p is a radical ofi,tIs the air pressure at node i; l isij、AijAnd dijThe length, cross-sectional area and pipe diameter of the pipeline ij are respectively; omegaijIs the mean gas in the conduit ijFlow rate.
And (3) constraining the state equation:
pi,t＝ρi,tZRgTg
in the formula: z is the gas compression coefficient; rgIs the gas constant; t isgIs the gas temperature.
Node airflow balance constraint:
Figure BDA0002252098940000129
in the formula:
Figure BDA00022520989400001213
is the air load on node i;
Figure BDA00022520989400001210
and
Figure BDA00022520989400001211
GT and CHP at node i, respectively;
Figure BDA00022520989400001212
supplying air quantity for an air source; mij,tIs the gas mass flow in the pipe ij connected to the node i.
Air pressure restraint:
pi min≤pi,t≤pi max
in the formula: p is a radical ofi maxAnd pi minRespectively the upper and lower limits of the air pressure of the node i.
And (3) restricting the air supply amount of an air source:
Figure BDA0002252098940000131
in the formula:
Figure BDA0002252098940000132
and
Figure BDA0002252098940000133
respectively the upper limit and the lower limit of the air supply quantity of the air source.
The coupling elements in the integrated energy system contemplated in this disclosure include GT and CHP, whose energy conversion relationship constraints are:
Figure BDA0002252098940000134
Figure BDA0002252098940000135
in the formula ηGTAnd ηCHPGT and CHP, respectively.
In the step (5), elasticity evaluation indexes are extracted based on the distribution network elasticity response process to quantitatively evaluate the elasticity of the distribution network to extreme weather, the load loss of the distribution network compared with that of the distribution network in normal operation in the typhoon disturbance process is used as the elasticity evaluation indexes, and the calculation method is as follows:
Figure BDA0002252098940000136
in the formula: t is0The typhoon influence time comprises typhoon passing time and power supply recovery time; TL (t) is a target load curve of the power distribution network in normal operation; TR (t) is the actual load curve during a typhoon disturbance.
The load curve diagram in fig. 2 describes the elastic response process of the distribution network in extreme weather. From the typhoon landing time t1At first, a large number of distribution lines successively fail under the impact of typhoon, so that the fault range of the distribution network is gradually enlarged, and the load level of the whole system continuously falls until the time t when the fault is the most serious2And at the moment, the load level of the power distribution network is lowest. The power distribution network after the fault keeps running in a stable derating state until t3At the moment, typhoon passes through the boundary, the fault line is repaired from the boundary, and the load of the power distribution network reaches t4And gradually returns to the original normal operation level. The change of load level in the response process reflects the elasticity of the power distribution networkThe less the load loss, the more elastic. Area S of the shaded portion in FIG. 2Shadow maskingThe load loss amount of the actual load curve in the typhoon disturbance process compared with the target load curve under the normal operation condition is the elasticity evaluation index of the power distribution network adopted by the method.
The wiring diagrams of the power distribution network, the heating system and the natural gas system provided by the present disclosure are respectively shown in fig. 3-5. The positions of the coupling elements in the integrated energy system in the three subsystems are shown in table 1.
TABLE 1
Figure BDA0002252098940000141
In addition, the elastic response process of the power distribution network under the condition of existence of multi-energy coordination support is simulated by taking the following fault scene of the power distribution network in the typhoon crossing as an example: distribution lines 19, 15, 28 and 8 fail at 2.75h, 5.75h, 7.25h and 7.75h after typhoon landing, and recover one by one after 20h in the failure sequence.
Fig. 6 shows the actual load curve and the target load curve for two scenarios. The final load loss of the power distribution network is 44.13MWh when the multi-energy coordination support power supply is considered, and compared with the final load loss of 29.41MWh when the multi-energy coordination support power supply is not connected, the total load loss of the power distribution network is reduced by 14.72MWh, and the elasticity is improved by 33.36%. Fig. 6 and the calculation results of the elasticity evaluation indexes show that the distribution network elasticity lifting method based on multi-energy coordination accurately tracks the process of multi-energy coordination supporting power supply after a fault, effectively reduces the load loss of the distribution network in extreme weather, greatly improves the distribution network elasticity, and fully exploits the huge potential of multi-energy coordination on the distribution network elasticity lifting.
As will be appreciated by one skilled in the art, embodiments of the present disclosure may be provided as a method, system, or computer program product. Accordingly, the present disclosure may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present disclosure 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 so forth) having computer-usable program code embodied therein.
The present disclosure is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the disclosure. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams 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.
The above description is only a preferred embodiment of the present disclosure and is not intended to limit the present disclosure, and various modifications and changes may be made to the present disclosure by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present disclosure should be included in the protection scope of the present disclosure.
Although the present disclosure has been described with reference to specific embodiments, it should be understood that the scope of the present disclosure is not limited thereto, and those skilled in the art will appreciate that various modifications and changes can be made without departing from the spirit and scope of the present disclosure.

Claims (10)

1. A distribution network elastic lifting method based on multi-energy coordination in extreme weather is characterized by comprising the following steps: the method comprises the following steps:
(1) simulating a disturbance process of the distribution network by combining a disaster-causing mechanism of extreme weather on the distribution network;
(2) analyzing the vulnerability of the power distribution network element under extreme weather disturbance, and establishing an element fault rate model;
(3) generating a probabilistic fault scene of the power distribution network based on a time-varying fault rate curve, and acquiring successive fault positions and fault moments of the power distribution network in a disturbance process;
(4) the response process of the comprehensive energy system after the power distribution network fails is simulated, the optimal load reduction strategy of the power distribution network is adopted in the simulation process, the principle that the power distribution network preferentially ensures important load power supply is taken as a target, the power distribution network is supported through multi-energy coordination, and the optimal coordination scheme is determined, so that the elasticity of the power distribution network is improved.
2. The method for elastically lifting the power distribution network based on the multi-energy coordination in the extreme weather as claimed in claim 1, is characterized in that: in the step (1), typhoon is taken as a representative of extreme weather, and the disaster causing process of large-scale line breaking and pole falling of the power distribution network caused by typhoon crossing is analyzed.
3. The method for elastically lifting the power distribution network based on the multi-energy coordination in the extreme weather as claimed in claim 1, is characterized in that: in the step (1), simulating a typhoon passing process by using a Batts model, determining the wind speed and the wind direction of each point in a typhoon influence area, and calculating the wind load of typhoon disturbance action on the power distribution network wire and the electric pole and the wire section tension and the electric pole body section bending moment caused by the wind load.
4. The method for elastically lifting the power distribution network based on the multi-energy coordination in the extreme weather as claimed in claim 1, is characterized in that: in the step (2), according to the structure reliability theory, when the strength of the element is smaller than the load effect borne by the element, the element is judged to have a fragile fault; the tensile strength of the power distribution network wire and the bending strength of the electric pole are subjected to normal distribution, and an element fault rate model is constructed by combining a specific strength probability density function to obtain an element vulnerability curve.
5. The method for elastically lifting the power distribution network based on the multi-energy coordination in the extreme weather as claimed in claim 1, is characterized in that: in the step (3), the time-varying fault rate curve of each line of the power distribution network is obtained by combining a time-varying wind speed curve and a distribution line vulnerability curve in the typhoon crossing process, wherein the wind speed is an intermediate variable for transmitting the incidence relation;
or, in the step (3), a power distribution network fault scene is generated by adopting a probabilistic method based on state sampling: at all times during the typhoon crossing, the sampling process is repeated for all lines in the distribution network to determine successive fault locations and corresponding fault occurrence times for the distribution network.
6. The method for elastically lifting the power distribution network based on the multi-energy coordination in the extreme weather as claimed in claim 1, is characterized in that: in the step (4), in the comprehensive energy system, if only the power distribution network fails in typhoon extreme weather and the pipeline is not damaged, the power distribution network is closely coupled with the heat supply system and the natural gas system through the gas turbine, the cogeneration unit and the gas boiler energy conversion unit;
or after the power distribution network fails, the energy conversion unit in the comprehensive energy system serves as a standby power supply and is coordinated to supply power to an island isolated from the main network due to the failure in the power distribution network through gas-electricity conversion and various energy requirements, load loss is reduced to improve elasticity of the power distribution network, the load importance degree is considered, and the process of multi-energy coordination supporting power supply is simulated based on the optimal load reduction model of the power distribution network.
7. The method for elastically lifting the power distribution network based on the multi-energy coordination in the extreme weather as claimed in claim 1, is characterized in that: in the step (4), when the process of multi-energy coordination support power supply is analyzed, different dynamic characteristics of three energy systems of electricity, heat and gas are considered, wherein a power distribution network adopts a quasi-steady-state model, a heat supply system adopts a steady-state model, and a natural gas system adopts a quasi-dynamic model;
or, in the step (4), the load loss of the power distribution network in the typhoon disturbance process is used as an evaluation index, the effect of the elasticity of the power distribution network is quantitatively evaluated, and the optimal scheme is confirmed.
8. The utility model provides a distribution network elasticity lift system based on multipotency is coordinated under extreme weather, characterized by: the method comprises the following steps:
the disturbance model building module is configured to simulate a disturbance process of the distribution network in combination with a disaster-causing mechanism of extreme weather on the distribution network;
the vulnerability analysis module is configured to analyze the vulnerability of the power distribution network element under extreme weather disturbance and establish an element fault rate model;
the fault scene analysis module is configured to generate a probabilistic fault scene of the power distribution network based on the time-varying fault rate curve, and obtain successive fault positions and fault moments of the power distribution network in a disturbance process;
the coordination support simulation module is configured to simulate the response process of the comprehensive energy system after the power distribution network fails, an optimal load reduction strategy of the power distribution network is adopted in the simulation process, the principle that the power distribution network preferentially ensures important load power supply is taken as a target, the power distribution network is supported through multi-energy coordination, and an optimal coordination scheme is determined to improve the elasticity of the power distribution network.
9. A computer-readable storage medium characterized by: a plurality of instructions are stored, wherein the instructions are suitable for being loaded by a processor of a terminal device and executing the steps of the method for improving the elasticity of the power distribution network based on the multi-energy coordination in the extreme weather according to any one of claims 1 to 7.
10. A terminal device is characterized in that: the system comprises a processor and a computer readable storage medium, wherein the processor is used for realizing instructions; the computer readable storage medium is used for storing a plurality of instructions, which are adapted to be loaded by a processor and to execute the steps of the method for elasticity improvement of the distribution network based on multi-energy coordination in extreme weather according to any one of claims 1 to 7.
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CN113505967A (en) * 2021-06-04 2021-10-15 上海电力大学 Power distribution network toughness improving method based on real-time fault rate
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