CN116050306B - Power frequency power grid reliability assessment method and system considering offshore wind power frequency division access - Google Patents

Power frequency power grid reliability assessment method and system considering offshore wind power frequency division access Download PDF

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CN116050306B
CN116050306B CN202310346017.1A CN202310346017A CN116050306B CN 116050306 B CN116050306 B CN 116050306B CN 202310346017 A CN202310346017 A CN 202310346017A CN 116050306 B CN116050306 B CN 116050306B
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grid
frequency division
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frequency
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CN116050306A (en
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杨昆
蔡仲启
陈建福
甘德树
彭穗
顾延勋
裴星宇
欧仲曦
廖雁群
幸旭彬
刘超
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Zhuhai Power Supply Bureau of Guangdong Power Grid Co Ltd
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Abstract

The invention discloses a method and a system for evaluating the reliability of a power frequency power grid by considering frequency division access of offshore wind power, wherein a time-division method is adopted, the fan output of the offshore wind power plant in each time period is calculated according to the probability distribution of the wind speed and the wind direction in each time period, then the grid-connected output distribution of the frequency division side in each time period is calculated by combining the available capacity of each subsystem, the frequency division side equivalent port model is obtained, the simplified modeling of the frequency division side is realized, the frequency division side equivalent port model is accessed into the power frequency power grid, the time sequence Monte Carlo simulation is carried out on the power frequency power grid, and the reliability index of the power frequency power grid is counted according to the system running state in the simulation process. The method solves the technical problems that the prior art does not fully consider the correlation of the time sequence fluctuation of the load and the time sequence fluctuation characteristic of the wind power resource, and does not consider the sampling difficulty caused by the large number of elements at the frequency division side and the complex structure, so that the reliability evaluation difficulty of the power frequency power grid is high and the accuracy is reduced.

Description

Power frequency power grid reliability assessment method and system considering offshore wind power frequency division access
Technical Field
The invention relates to the technical field of offshore wind power reliability evaluation, in particular to a power frequency power grid reliability evaluation method and system considering offshore wind power frequency division access.
Background
Compared with land wind power, the offshore wind power has the advantages of stable wind power, no land occupation, approaching the consumer market and the like, is suitable for large-scale development, and has great development potential. The offshore wind power grid connection technology mainly comprises 3 types: high voltage alternating current technology, high voltage direct current technology and frequency division transmission technology. The frequency division transmission technology reduces the transmission frequency (1/3 of the power frequency) on the premise that the voltage class is not improved, so as to shorten the electric distance of a line, enhance the transmission capacity of the line and reduce the number of transmission loops and outgoing lines corridor. The frequency division technology is adopted to greatly improve the power transmission capability, has the advantages of economy and reliability, and is suitable for large-scale remote offshore wind power generation.
The offshore wind power generation has the characteristics of randomness, volatility and the like, and large-scale wind power access makes the planning and operation of a power system face larger uncertainty, so that reliability evaluation plays an increasingly important role. The existing reliability evaluation method of the offshore wind power system is characterized in that various running states of the system are analyzed by establishing an output and shutdown model of a wind turbine generator and adopting a Monte Carlo simulation method, when the system is in fault, if the system is in unbalanced power, the output of a generator is required to be adjusted or certain loads are reduced to perform optimal load reduction calculation, the power loss of the system is obtained, and after a sufficient amount of state sample analysis results are accumulated, various reliability indexes of the system are obtained through statistics. However, in the prior art, the correlation between the time sequence fluctuation of the load and the time sequence fluctuation characteristic of the wind power resource is not fully considered, and the problem of difficult sampling caused by the large number of frequency division side elements and complex structure is not considered, so that the technical problems of high reliability evaluation difficulty and low accuracy of the power frequency power grid are caused.
Disclosure of Invention
The invention provides a power frequency grid reliability assessment method and system considering offshore wind power frequency division access, which are used for solving the technical problems that the prior art does not fully consider the correlation between the time sequence fluctuation of load and the time sequence fluctuation characteristic of wind power resources, and the sampling difficulty caused by the fact that the number of frequency division side elements is large and the structure is complex is not considered, so that the reliability assessment difficulty of the power frequency grid is large and the accuracy is reduced.
In view of the above, the first aspect of the present invention provides a method for evaluating reliability of a power frequency grid considering offshore wind power frequency division access, including:
establishing a reliability model of each subsystem on the frequency division side, wherein each subsystem model comprises a fan output reliability model, and the fan output reliability model is used for analyzing the wind speed and wind direction probability distribution in each time period according to the wind speed and wind direction data of preset time periods and calculating the fan output of the offshore wind farm in each time period according to the wind speed and wind direction probability distribution in each time period;
calculating a frequency division side total available capacity table according to each subsystem reliability model;
calculating grid-connected output distribution of the frequency division side of each period according to the total available capacity table of the frequency division side and the fan output of the offshore wind farm in each period, and obtaining an equivalent port model of the frequency division side;
and accessing the frequency division side equivalent port model into a power frequency power grid, performing sequential Monte Carlo simulation on the power frequency power grid, and counting the reliability index of the power frequency power grid according to the system running state in the simulation process.
Optionally, constructing a reliability model of each subsystem on the frequency division side includes:
according to the fault rate and repair rate of each section of cable and fan of the current collecting system, calculating the available capacity table of each element of the current collecting system, carrying out series-parallel operation on the available capacity table of each element of the current collecting system according to the series-parallel relation of the elements, and establishing a reliability model of the current collecting system;
establishing a reliability model of the offshore booster station according to a bus junction mode of the offshore booster station;
establishing a submarine cable reliability model according to submarine cable reliability parameters;
establishing a reliability model of the frequency conversion station according to the fault rate and the repair rate of the frequency conversion station;
according to the wind speed and direction data obtained through statistics, a wind power station wake flow attenuation effect is considered, and a fan output reliability model with time intervals is built.
Optionally, calculating grid-connected output distribution of the frequency division side of each period according to the total available capacity table of the frequency division side and fan output of the offshore wind farm in each period to obtain an equivalent port model of the frequency division side, including:
convolving the total available capacity table of the frequency division side and the fan output of the offshore wind farm in each period, and calculating the grid-connected output distribution of the frequency division side in each period to obtain an equivalent port model of the frequency division side.
Alternatively, the preset time period is to divide 24 hours in a day into one period every 4 hours in order.
Optionally, the frequency division side equivalent port model is connected to a power frequency power grid, the time sequence Monte Carlo simulation is performed on the power frequency power grid, and the reliability index of the power frequency power grid is counted according to the system running state in the simulation process, including:
and accessing the frequency division side equivalent port model into a power frequency power grid, performing sequential Monte Carlo simulation on the power frequency power grid, sampling from a grid-connected output distribution table of a corresponding period to obtain frequency division side input power at any moment, analyzing the power flow distribution of the power frequency power grid under each fault state, performing minimum load loss calculation on the power frequency power grid until the error is smaller than a given value, and counting the reliability index of the power frequency power grid.
Optionally, analyzing the power flow distribution of the power frequency power grid in each fault state, and performing the minimum load loss calculation of the power frequency power grid has the objective function that:
Figure SMS_1
；
wherein ,
Figure SMS_13
is a nodeiIs of loss of load of->
Figure SMS_4
、/>
Figure SMS_9
and />
Figure SMS_5
Respectively the linesijTransmission power, upper transmission power limit and impedance parameter, < ->
Figure SMS_6
Is a nodeiVoltage phase angle,/v>
Figure SMS_12
Is a nodejVoltage phase angle,/v>
Figure SMS_16
、/>
Figure SMS_10
and />
Figure SMS_15
The power matrix is respectively a generator node output matrix, a load node load power matrix and a node load loss power matrix, and the power matrix is +.>
Figure SMS_2
To->
Figure SMS_7
Node admittance matrix established for branch admittance, < ->
Figure SMS_17
Is a node voltage phase angle vector, ">
Figure SMS_20
、/>
Figure SMS_18
and />
Figure SMS_19
Respectively, generatorsiActive power output, generatoriUpper active output limit of (2) and generatoriLower limit of active force of>
Figure SMS_3
Is a nodeiLoad of>
Figure SMS_8
、/>
Figure SMS_11
and />
Figure SMS_14
Respectively, hairMotor nodes, load nodes, and a set of all nodes. />
The second aspect of the invention provides a power frequency grid reliability evaluation system considering offshore wind power frequency division access, comprising:
the modeling module is used for constructing a reliability model of each subsystem at the frequency division side, wherein each subsystem model comprises a fan output reliability model, the fan output reliability model is used for analyzing the wind speed and wind direction probability distribution at each time period according to the wind speed and wind direction data of a preset time period, and calculating the fan output of the offshore wind farm at each time period according to the wind speed and wind direction probability distribution at each time period;
the capacity calculation module is used for calculating a frequency division side total available capacity table according to the reliability model of each subsystem;
the equivalent module is used for calculating grid-connected output distribution of the frequency division side of each time period according to the total available capacity table of the frequency division side and the fan output of the offshore wind farm in each time period to obtain an equivalent port model of the frequency division side;
and the evaluation module is used for accessing the frequency division side equivalent port model into the power frequency power grid, performing sequential Monte Carlo simulation on the power frequency power grid, and counting the reliability index of the power frequency power grid according to the system running state in the simulation process.
Optionally, the modeling module is specifically configured to:
according to the fault rate and repair rate of each section of cable and fan of the current collecting system, calculating the available capacity table of each element of the current collecting system, carrying out series-parallel operation on the available capacity table of each element of the current collecting system according to the series-parallel relation of the elements, and establishing a reliability model of the current collecting system;
establishing a reliability model of the offshore booster station according to a bus junction mode of the offshore booster station;
establishing a submarine cable reliability model according to submarine cable reliability parameters;
establishing a reliability model of the frequency conversion station according to the fault rate and the repair rate of the frequency conversion station;
according to the wind speed and direction data obtained through statistics, a wind power station wake flow attenuation effect is considered, and a fan output reliability model with time intervals is built.
Optionally, the evaluation module is specifically configured to:
and accessing the frequency division side equivalent port model into a power frequency power grid, performing sequential Monte Carlo simulation on the power frequency power grid, sampling from a grid-connected output distribution table of a corresponding period to obtain frequency division side input power at any moment, analyzing the power flow distribution of the power frequency power grid under each fault state, performing minimum load loss calculation on the power frequency power grid until the error is smaller than a given value, and counting the reliability index of the power frequency power grid.
Optionally, analyzing the power flow distribution of the power frequency power grid in each fault state, and performing the minimum load loss calculation of the power frequency power grid has the objective function that:
Figure SMS_21
；
wherein ,
Figure SMS_31
is a nodeiIs of loss of load of->
Figure SMS_24
、/>
Figure SMS_27
and />
Figure SMS_35
Respectively the linesijTransmission power, upper transmission power limit and impedance parameter, < ->
Figure SMS_38
Is a nodeiVoltage phase angle,/v>
Figure SMS_36
Is a nodejVoltage phase angle,/v>
Figure SMS_40
、/>
Figure SMS_30
and />
Figure SMS_33
The power matrix is respectively a generator node output matrix, a load node load power matrix and a node load loss power matrix, and the power matrix is +.>
Figure SMS_22
To->
Figure SMS_26
Node admittance matrix established for branch admittance, < ->
Figure SMS_25
Is a node voltage phase angle vector, ">
Figure SMS_28
、/>
Figure SMS_32
and />
Figure SMS_39
Respectively, generatorsiActive power output, generatoriUpper active output limit of (2) and generatoriLower limit of active force of>
Figure SMS_23
Is a nodeiLoad of>
Figure SMS_29
、/>
Figure SMS_34
and />
Figure SMS_37
Respectively a generator node, a load node and a set of all nodes.
According to the technical scheme, the method and the system for evaluating the reliability of the power frequency power grid by considering offshore wind power frequency division access have the following advantages:
the reliability evaluation method of the power frequency power grid taking into consideration offshore wind power frequency division access, provided by the invention, considers the correlation of the time sequence fluctuation of loads and the time sequence fluctuation characteristic of wind power resources, calculates the offshore wind power plant fan output in each time period according to the wind speed and wind direction probability distribution in each time period by adopting a time period division method, calculates the grid-connected output distribution of each time period frequency division side by combining the available capacity of each subsystem to obtain the frequency division side equivalent port model, realizes simplified modeling of the frequency division side, then accesses the frequency division side equivalent port model into the power frequency power grid, performs time sequence Monte Carlo simulation on the power frequency power grid, calculates the reliability index of the power frequency power grid according to the system running state in the simulation process, and avoids the problem of sampling difficulty caused by the fact that the number of frequency division side elements is large and the structure is complex. The method solves the technical problems that the prior art does not fully consider the correlation of the time sequence fluctuation of the load and the time sequence fluctuation characteristic of the wind power resource, and does not consider the sampling difficulty caused by the large number of elements at the frequency division side and the complex structure, so that the reliability evaluation difficulty of the power frequency power grid is high and the accuracy is reduced.
The power frequency grid reliability evaluation system considering the offshore wind power frequency division access provided by the invention is used for executing the power frequency grid reliability evaluation method considering the offshore wind power frequency division access provided by the invention, and the principle and the obtained technical effects are the same as those of the power frequency grid reliability evaluation method considering the offshore wind power frequency division access provided by the invention, and are not repeated here.
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For a clearer description of embodiments of the invention or of solutions according to the prior art, the figures which are used in the description of the embodiments or of the prior art will be briefly described, it being obvious that the figures in the description below are only some embodiments of the invention, from which, without the aid of inventive efforts, other relevant figures can be obtained for a person skilled in the art.
FIG. 1 is a flow diagram of a power frequency grid reliability evaluation method considering offshore wind power frequency division access provided by the invention;
FIG. 2 is a schematic diagram of the offshore wind power frequency division system provided by the invention;
FIG. 3 is a logic block diagram of a power frequency grid reliability evaluation method considering offshore wind power frequency division access provided by the invention;
fig. 4 is a schematic structural diagram of a power frequency grid reliability evaluation system considering offshore wind power frequency division access.
Detailed Description
In order to make the present invention better understood by those skilled in the art, the following description will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. 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.
For easy understanding, referring to fig. 1 to 3, an embodiment of a power frequency grid reliability evaluation method considering offshore wind power frequency division access is provided in the present invention, including:
step 101, constructing a reliability model of each subsystem on the frequency division side, wherein each subsystem model comprises a fan output reliability model, and the fan output reliability model is used for analyzing the wind speed and wind direction probability distribution in each time period according to the wind speed and wind direction data of preset time periods and calculating the fan output of the offshore wind farm in each time period according to the wind speed and wind direction probability distribution in each time period.
The structure of the offshore wind power frequency division system is shown in fig. 1, and the offshore wind power frequency division system consists of an offshore wind power plant, a current collection sea cable, an offshore booster, a submarine cable, a frequency conversion station and the like, wherein a fan of the offshore wind power plant drives a generator to generate frequency division alternating current, the frequency division alternating current is collected through the current collection sea cable, boosted by the offshore booster station, then conveyed to a receiving end system through the submarine cable, converted into 50Hz alternating current through an onshore frequency conversion station and then integrated into a power frequency power grid. The frequency conversion station employs a modular multilevel matrix converter (modular multilevel matrix converter, M3C). In the embodiment of the invention, a reliability model of each subsystem at the frequency division side is constructed, wherein the reliability model comprises a fan output reliability model, a current collecting system reliability model, an offshore booster station reliability model, a submarine cable reliability model and a variable frequency station reliability model. The wind power output reliability model is used for analyzing wind speed and wind direction probability distribution in each time period according to wind speed and wind direction data of preset time periods and calculating the wind power output of the offshore wind power plant in each time period according to the wind speed and wind direction probability distribution in each time period. The preset time division period is to divide 24 hours in a day into a period of every 4 hours according to the sequence, namely, 0 point to 4 points are a period of time, 4 points to 8 points are a period of time, 8 points to 12 points are a period of time, 12 points to 16 points are a period of time, 16 points to 20 points are a period of time, and 20 points to 24 points are a period of time. Specifically, the fan output reliability model performs normalization processing on the original wind speed and direction data of each period according to the original wind speed and direction data of each period obtained from a meteorological platform, then sets the total number K of clustered wind speed scenes, initializes K clustering centers, performs K-means clustering on the normalized original wind speed and direction data of each period, and obtains the wind speed and direction probability distribution under each period according to clustering results. Then according to the geographic position and layout of each wind generating set in the offshore wind farm, under a certain wind speed scene, respectively calculating wake flow attenuation effects under the common influence of a plurality of fans to obtain the actual wind speed of each fan position, and calculating the output of each fan according to the actual wind speed to obtain the output of the offshore wind farm under the scene, wherein the calculation formula of the output of the fans is as follows:
Figure SMS_41
；
wherein ,Pis used for exerting the force of the fan,vis the actual wind speed of the fan,
Figure SMS_42
cut in wind speed for fan>
Figure SMS_43
The wind speed is cut out for the fan,
Figure SMS_44
rated wind speed of the fan is>
Figure SMS_45
Rated active power for the fan.
And 102, calculating a frequency division side total available capacity table according to each subsystem reliability model.
For the current collecting system, the available capacity table of each element of the current collecting system is calculated according to the fault rate and the repair rate of each section of cable and the fan, convolution operation is carried out according to the serial-parallel connection relation of the elements, and a reliability model of the current collecting system is established to obtain the available capacity table of the current collecting system. In particular, elements
Figure SMS_46
And element->
Figure SMS_47
When combined in parallel, the combination element thereof>
Figure SMS_48
The available capacity of (2) is the sum of the available capacities of the two elements, the combined element +.>
Figure SMS_49
Available capacitykThe exact probability of (2) is:
Figure SMS_50
；
wherein ,
Figure SMS_51
is an element->
Figure SMS_52
Available capacityiExact probability of->
Figure SMS_53
Is an element->
Figure SMS_54
Available capacityjExact probability of->
Figure SMS_55
Is an element->
Figure SMS_56
Can be usedTotal number of capacity states. />
Element
Figure SMS_57
And element->
Figure SMS_58
When combined in series, the combination element thereof>
Figure SMS_59
Is dependent on the element +.>
Figure SMS_60
And element->
Figure SMS_61
The smaller of the available capacities is to have the combination element +.>
Figure SMS_62
Available capacity of greater thankThe available capacity of both series elements is greater thankThe method comprises the following steps:
Figure SMS_63
；
wherein ,
Figure SMS_64
for combined elements->
Figure SMS_65
Available capacity greater thankProbability of->
Figure SMS_66
Is an element->
Figure SMS_67
Available capacity greater thankProbability of->
Figure SMS_68
Is an element->
Figure SMS_69
Large available capacityIn the followingkIs a probability of (2).
The relationship between exact probability and cumulative probability is:
Figure SMS_70
；
wherein ,
Figure SMS_71
elements respectively->
Figure SMS_72
Element->
Figure SMS_73
Combined element->
Figure SMS_74
Available capacitykIs a cumulative probability of (a).
The method can obtain:
Figure SMS_75
；
and for the offshore booster station, establishing a reliability model of the offshore booster station according to a bus junction mode of the offshore booster station to obtain an available capacity meter of the offshore booster station.
And for the submarine cable, establishing a submarine cable reliability model according to submarine cable reliability parameters to obtain a submarine cable available capacity table.
And obtaining the fault rate and the repair rate of the frequency conversion station according to the frequency conversion station reliability model, and establishing the frequency conversion station reliability model to obtain the available capacity table of the frequency conversion station. Wherein the failure rate of the modular multilevel matrix converter (M3C) according to the frequency conversion station
Figure SMS_76
And repair rate->
Figure SMS_77
Calculating unavailability of modular multilevel matrix convertersQThe calculation formula is as follows:
Figure SMS_78
；
according to unavailability degreeQTo determine the available capacity table of the frequency conversion station, and the corresponding relation is shown in table 1.
Figure SMS_79
In the table 1, the contents of the components,
Figure SMS_80
is the rated capacity of a modular multilevel matrix converter (M3C).
And carrying out series operation on the collector system available capacity table, the offshore booster station available capacity table, the submarine cable available capacity table and the frequency conversion station available capacity table to obtain a frequency division side total available capacity table.
And 103, calculating grid-connected output distribution of the frequency division side of each time period according to the total available capacity table of the frequency division side and the fan output of the offshore wind farm in each time period, and obtaining an equivalent port model of the frequency division side.
The method is characterized in that a total available capacity table of the frequency division side and the fan output of the offshore wind farm in each period are subjected to convolution calculation to obtain grid-connected output distribution of the frequency division side in each period, and then an equivalent port model of the frequency division side can be obtained.
And 104, accessing the frequency division side equivalent port model into a power frequency power grid, performing sequential Monte Carlo simulation on the power frequency power grid, and counting the reliability index of the power frequency power grid according to the system running state in the simulation process.
The method is characterized in that a frequency division side equivalent port model with known grid-connected output distribution is connected to a power frequency power grid, time sequence Monte Carlo simulation is conducted on the power frequency power grid, input power of the frequency division side at the moment is obtained by sampling from a grid-connected output distribution table of a corresponding period under different loads at each moment, and in the follow-up simulation, the frequency division side can be regarded as a generator which is connected to a grid-connected node and has known output. And under each fault state, analyzing the power flow distribution of the power frequency power grid system, and carrying out minimum load loss calculation until the simulation error is smaller than a given value, and obtaining the system reliability index by statistics, wherein the system reliability index comprises load loss probability, load loss frequency, expected value of power deficiency and the like. In the fault state, after the fault element is removed, the power flow of the power grid is redistributed, the conditions that the power supply is insufficient and the power demand of a user cannot be met possibly occur, and the output of a generator is required to be adjusted or part of load is removed at the moment so as to realize power balance of the power grid. Adopting a direct current load flow model, taking the minimum load loss as a target, and carrying out optimal load shedding calculation on constraint conditions including active power balance constraint, generator output constraint, load shedding constraint and line load flow constraint, wherein the target function for carrying out the minimum load loss calculation of a power frequency power grid is as follows:
Figure SMS_81
；
wherein ,
Figure SMS_91
is a nodeiIs of loss of load of->
Figure SMS_83
、/>
Figure SMS_89
and />
Figure SMS_85
Respectively the linesijTransmission power, upper transmission power limit and impedance parameter, < ->
Figure SMS_87
Is a nodeiVoltage phase angle,/v>
Figure SMS_93
Is a nodejVoltage phase angle,/v>
Figure SMS_95
、/>
Figure SMS_90
and />
Figure SMS_96
The power matrix is respectively a generator node output matrix, a load node load power matrix and a node load loss power matrix, and the power matrix is +.>
Figure SMS_82
To->
Figure SMS_86
Node admittance matrix established for branch admittance, < ->
Figure SMS_94
Is a node voltage phase angle vector, ">
Figure SMS_99
、/>
Figure SMS_98
and />
Figure SMS_100
Respectively, generatorsiActive power output, generatoriUpper active output limit of (2) and generatoriLower limit of active force of>
Figure SMS_84
Is a nodeiLoad of>
Figure SMS_88
、/>
Figure SMS_92
and />
Figure SMS_97
Respectively a generator node, a load node and a set of all nodes.
The reliability evaluation method of the power frequency power grid taking into consideration offshore wind power frequency division access, provided by the invention, considers the correlation of the time sequence fluctuation of loads and the time sequence fluctuation characteristic of wind power resources, calculates the offshore wind power plant fan output in each time period according to the wind speed and wind direction probability distribution in each time period by adopting a time period division method, calculates the grid-connected output distribution of each time period frequency division side by combining the available capacity of each subsystem to obtain the frequency division side equivalent port model, realizes simplified modeling of the frequency division side, then accesses the frequency division side equivalent port model into the power frequency power grid, performs time sequence Monte Carlo simulation on the power frequency power grid, calculates the reliability index of the power frequency power grid according to the system running state in the simulation process, and avoids the problem of sampling difficulty caused by the fact that the number of frequency division side elements is large and the structure is complex. The method solves the technical problems that the prior art does not fully consider the correlation of the time sequence fluctuation of the load and the time sequence fluctuation characteristic of the wind power resource, and does not consider the sampling difficulty caused by the large number of elements at the frequency division side and the complex structure, so that the reliability evaluation difficulty of the power frequency power grid is high and the accuracy is reduced.
For easy understanding, referring to fig. 4, the present invention provides an embodiment of a power frequency grid reliability evaluation system considering offshore wind power frequency division access, including:
the modeling module is used for constructing a reliability model of each subsystem at the frequency division side, wherein each subsystem model comprises a fan output reliability model, the fan output reliability model is used for analyzing the wind speed and wind direction probability distribution at each time period according to the wind speed and wind direction data of a preset time period, and calculating the fan output of the offshore wind farm at each time period according to the wind speed and wind direction probability distribution at each time period;
the capacity calculation module is used for calculating a frequency division side total available capacity table according to the reliability model of each subsystem;
the equivalent module is used for calculating grid-connected output distribution of the frequency division side of each time period according to the total available capacity table of the frequency division side and the fan output of the offshore wind farm in each time period to obtain an equivalent port model of the frequency division side;
and the evaluation module is used for accessing the frequency division side equivalent port model into the power frequency power grid, performing sequential Monte Carlo simulation on the power frequency power grid, and counting the reliability index of the power frequency power grid according to the system running state in the simulation process.
The modeling module is specifically used for:
according to the fault rate and repair rate of each section of cable and fan of the current collecting system, calculating the available capacity table of each element of the current collecting system, carrying out series-parallel operation on the available capacity table of each element of the current collecting system according to the series-parallel relation of the elements, and establishing a reliability model of the current collecting system;
establishing a reliability model of the offshore booster station according to a bus junction mode of the offshore booster station;
establishing a submarine cable reliability model according to submarine cable reliability parameters;
establishing a reliability model of the frequency conversion station according to the fault rate and the repair rate of the frequency conversion station;
according to the wind speed and direction data obtained through statistics, a wind power station wake flow attenuation effect is considered, and a fan output reliability model with time intervals is built.
The evaluation module is specifically used for:
and accessing the frequency division side equivalent port model into a power frequency power grid, performing sequential Monte Carlo simulation on the power frequency power grid, sampling from a grid-connected output distribution table of a corresponding period to obtain frequency division side input power at any moment, analyzing the power flow distribution of the power frequency power grid under each fault state, performing minimum load loss calculation on the power frequency power grid until the error is smaller than a given value, and counting the reliability index of the power frequency power grid.
Analyzing the power flow distribution of the power frequency power grid in each fault state, and calculating the minimum load loss of the power frequency power grid by using the objective function as follows:
Figure SMS_101
；
wherein ,
Figure SMS_110
is a nodeiIs of loss of load of->
Figure SMS_103
、/>
Figure SMS_106
and />
Figure SMS_105
Respectively the linesijTransmission power, upper transmission power limit and impedance parameter, < ->
Figure SMS_107
Is a nodeiVoltage phase angle,/v>
Figure SMS_111
Is a nodejVoltage phase angle,/v>
Figure SMS_117
、/>
Figure SMS_114
and />
Figure SMS_116
The power matrix is respectively a generator node output matrix, a load node load power matrix and a node load loss power matrix, and the power matrix is +.>
Figure SMS_102
To->
Figure SMS_109
Node admittance matrix established for branch admittance, < ->
Figure SMS_113
Is a node voltage phase angle vector, ">
Figure SMS_119
、/>
Figure SMS_118
and />
Figure SMS_120
Respectively, generatorsiActive power output, generatoriUpper active output limit of (2) and generatoriLower limit of active force of>
Figure SMS_104
Is a nodeiLoad of>
Figure SMS_108
、/>
Figure SMS_112
and />
Figure SMS_115
Respectively a generator node, a load node and a set of all nodes.
The preset time division period is to divide 24 hours in one day into a period of every 4 hours in sequence.
The equivalent module is specifically used for:
convolving the total available capacity table of the frequency division side and the fan output of the offshore wind farm in each period, and calculating the grid-connected output distribution of the frequency division side in each period to obtain an equivalent port model of the frequency division side.
The power frequency grid reliability evaluation system considering the offshore wind power frequency division access provided by the invention is used for executing the power frequency grid reliability evaluation method considering the offshore wind power frequency division access provided by the invention, and the principle and the obtained technical effects are the same as those of the power frequency grid reliability evaluation method considering the offshore wind power frequency division access provided by the invention, and are not repeated here.
The above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims (10)

1. A power frequency power grid reliability evaluation method considering offshore wind power frequency division access is characterized by comprising the following steps:
establishing a reliability model of each subsystem on the frequency division side, wherein each subsystem model comprises a fan output reliability model, and the fan output reliability model is used for analyzing the wind speed and wind direction probability distribution in each time period according to the wind speed and wind direction data of preset time periods and calculating the fan output of the offshore wind farm in each time period according to the wind speed and wind direction probability distribution in each time period;
calculating a frequency division side total available capacity table according to each subsystem reliability model;
calculating grid-connected output distribution of the frequency division side of each period according to the total available capacity table of the frequency division side and the fan output of the offshore wind farm in each period, and obtaining an equivalent port model of the frequency division side;
and accessing the frequency division side equivalent port model into a power frequency power grid, performing sequential Monte Carlo simulation on the power frequency power grid, and counting the reliability index of the power frequency power grid according to the system running state in the simulation process.
2. The method for evaluating the reliability of a power frequency grid taking into consideration offshore wind power frequency division access as claimed in claim 1, wherein the step of constructing a reliability model of each subsystem on a frequency division side comprises the steps of:
according to the fault rate and repair rate of each section of cable and fan of the current collecting system, calculating the available capacity table of each element of the current collecting system, carrying out series-parallel operation on the available capacity table of each element of the current collecting system according to the series-parallel relation of the elements, and establishing a reliability model of the current collecting system;
establishing a reliability model of the offshore booster station according to a bus junction mode of the offshore booster station;
establishing a submarine cable reliability model according to submarine cable reliability parameters;
establishing a reliability model of the frequency conversion station according to the fault rate and the repair rate of the frequency conversion station;
according to the wind speed and direction data obtained through statistics, a wind power station wake flow attenuation effect is considered, and a fan output reliability model with time intervals is built.
3. The method for evaluating the reliability of a power frequency grid taking into consideration offshore wind power frequency division access according to claim 1, wherein calculating the grid-connected output distribution of the offshore wind farm at each time period according to the total available capacity table of the frequency division side and the fan output of the offshore wind farm at each time period to obtain the equivalent port model of the frequency division side comprises the following steps:
convolving the total available capacity table of the frequency division side and the fan output of the offshore wind farm in each period, and calculating the grid-connected output distribution of the frequency division side in each period to obtain an equivalent port model of the frequency division side.
4. The method for evaluating the reliability of a power frequency grid taking into consideration offshore wind power frequency division access according to claim 1, wherein the preset time division period is a period of time of dividing 24 hours in a day into 4 hours in sequence.
5. The method for evaluating the reliability of a power frequency grid taking into account frequency division access of offshore wind power according to claim 1, wherein the step of accessing the frequency division side equivalent port model to the power frequency grid, performing sequential monte carlo simulation on the power frequency grid, and counting the reliability index of the power frequency grid according to the system operation state in the simulation process comprises the steps of:
and accessing the frequency division side equivalent port model into a power frequency power grid, performing sequential Monte Carlo simulation on the power frequency power grid, sampling from a grid-connected output distribution table of a corresponding period to obtain frequency division side input power at any moment, analyzing the power flow distribution of the power frequency power grid under each fault state, performing minimum load loss calculation on the power frequency power grid until the error is smaller than a given value, and counting the reliability index of the power frequency power grid.
6. The method for evaluating the reliability of a power frequency grid taking into consideration offshore wind power frequency division access according to claim 5, wherein the objective function of analyzing the power flow distribution of the power frequency grid and performing minimum loss load calculation of the power frequency grid in each fault state is as follows:
Figure QLYQS_1
；
wherein ,
Figure QLYQS_11
is a nodeiIs of loss of load of->
Figure QLYQS_3
、/>
Figure QLYQS_8
and />
Figure QLYQS_5
Respectively the linesijTransmission power, upper transmission power limit and impedance parameter, < ->
Figure QLYQS_7
Is a nodeiVoltage phase angle,/v>
Figure QLYQS_12
Is a nodejVoltage phase angle,/v>
Figure QLYQS_18
、/>
Figure QLYQS_9
and />
Figure QLYQS_10
The power matrix is respectively a generator node output matrix, a load node load power matrix and a node load loss power matrix, and the power matrix is +.>
Figure QLYQS_2
To->
Figure QLYQS_6
Node admittance matrix established for branch admittance, < ->
Figure QLYQS_13
Is a node voltage phase angle vector, ">
Figure QLYQS_16
、/>
Figure QLYQS_19
and />
Figure QLYQS_20
Respectively, generatorsiActive force and hairMotor with a motor housingiUpper active output limit of (2) and generatoriLower limit of active force of>
Figure QLYQS_4
Is a nodeiLoad of>
Figure QLYQS_15
、/>
Figure QLYQS_14
and />
Figure QLYQS_17
Respectively a generator node, a load node and a set of all nodes.
7. A power frequency power grid reliability evaluation system considering offshore wind power frequency division access is characterized by comprising:
the modeling module is used for constructing a reliability model of each subsystem at the frequency division side, wherein each subsystem model comprises a fan output reliability model, the fan output reliability model is used for analyzing the wind speed and wind direction probability distribution at each time period according to the wind speed and wind direction data of a preset time period, and calculating the fan output of the offshore wind farm at each time period according to the wind speed and wind direction probability distribution at each time period;
the capacity calculation module is used for calculating a frequency division side total available capacity table according to the reliability model of each subsystem;
the equivalent module is used for calculating grid-connected output distribution of the frequency division side of each time period according to the total available capacity table of the frequency division side and the fan output of the offshore wind farm in each time period to obtain an equivalent port model of the frequency division side;
and the evaluation module is used for accessing the frequency division side equivalent port model into the power frequency power grid, performing sequential Monte Carlo simulation on the power frequency power grid, and counting the reliability index of the power frequency power grid according to the system running state in the simulation process.
8. The power frequency grid reliability evaluation system considering offshore wind power frequency division access according to claim 7, wherein the modeling module is specifically configured to:
according to the fault rate and repair rate of each section of cable and fan of the current collecting system, calculating the available capacity table of each element of the current collecting system, carrying out series-parallel operation on the available capacity table of each element of the current collecting system according to the series-parallel relation of the elements, and establishing a reliability model of the current collecting system;
establishing a reliability model of the offshore booster station according to a bus junction mode of the offshore booster station;
establishing a submarine cable reliability model according to submarine cable reliability parameters;
establishing a reliability model of the frequency conversion station according to the fault rate and the repair rate of the frequency conversion station;
according to the wind speed and direction data obtained through statistics, a wind power station wake flow attenuation effect is considered, and a fan output reliability model with time intervals is built.
9. The power frequency grid reliability evaluation system considering offshore wind power frequency division access according to claim 7, wherein the evaluation module is specifically configured to:
and accessing the frequency division side equivalent port model into a power frequency power grid, performing sequential Monte Carlo simulation on the power frequency power grid, sampling from a grid-connected output distribution table of a corresponding period to obtain frequency division side input power at any moment, analyzing the power flow distribution of the power frequency power grid under each fault state, performing minimum load loss calculation on the power frequency power grid until the error is smaller than a given value, and counting the reliability index of the power frequency power grid.
10. The system for evaluating the reliability of a power frequency grid taking into account offshore wind power frequency division access according to claim 9, wherein the objective function of analyzing the power flow distribution of the power frequency grid and performing minimum loss load calculation of the power frequency grid in each fault state is as follows:
Figure QLYQS_21
；
wherein ,
Figure QLYQS_29
is a nodeiIs of loss of load of->
Figure QLYQS_23
、/>
Figure QLYQS_27
and />
Figure QLYQS_25
Respectively the linesijTransmission power, upper transmission power limit and impedance parameter, < ->
Figure QLYQS_31
Is a nodeiVoltage phase angle,/v>
Figure QLYQS_33
Is a nodejVoltage phase angle,/v>
Figure QLYQS_36
、/>
Figure QLYQS_30
and />
Figure QLYQS_32
The power matrix is respectively a generator node output matrix, a load node load power matrix and a node load loss power matrix, and the power matrix is +.>
Figure QLYQS_22
To->
Figure QLYQS_26
Node admittance matrix established for branch admittance, < ->
Figure QLYQS_35
Is a node voltage phase angle vector, ">
Figure QLYQS_37
、/>
Figure QLYQS_38
and />
Figure QLYQS_40
Respectively, generatorsiActive power output, generatoriUpper active output limit of (2) and generatoriLower limit of active force of>
Figure QLYQS_24
Is a nodeiLoad of>
Figure QLYQS_28
、/>
Figure QLYQS_34
and />
Figure QLYQS_39
Respectively a generator node, a load node and a set of all nodes. />
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