CN108964044A - A kind of ocean micro-capacitance sensor group's equivalent modeling method interconnected by submarine cable - Google Patents
A kind of ocean micro-capacitance sensor group's equivalent modeling method interconnected by submarine cable Download PDFInfo
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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
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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
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
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Abstract
The purpose of the present invention is the deficiencies for the research of existing ocean micro-capacitance sensor group's external network equivalent, a kind of ocean micro-capacitance sensor group's equivalent modeling method interconnected by submarine cable is provided, its main feature is that being directed to submarine cable Parameters variation situation and limited data exchange, the unified external network equivalent circuit of ocean micro-capacitance sensor is established, and establishes the parameter estimation equation of external network equivalent circuit based on covariance theory；Weighting function is established at a distance from current time further according to the sampling time of sampled point, weighting function is combined with equivalent parameters estimation equation, according to the measuring value of the voltage and current of tie point in a period of time, and then the equivalent parameters of equivalent circuit are solved, gained equivalent circuit is ocean micro-capacitance sensor external network equivalent circuit.The present invention provides a kind of analysis models that mathematics is rigorous, realize external network equivalent in limited data exchange and submarine cable Parameters variation, and to the adaptable of Intranet operation characteristic variation, equivalent effect is good.
Description
Technical field
The present invention relates to Steady State Equivalents for Power System technical field, in particular to a kind of ocean interconnected by submarine cable
Micro-capacitance sensor group's equivalent modeling method.
Background technique
Currently, more and more oceans micro-capacitance sensor, such as regenerable marine energy field, all-electric ship, marine oil and gas platform
Deng interconnection, to improve efficiency of energy utilization, preferably control discharge.Different types of ocean micro-capacitance sensor with " i.e. insert i.e.
With " interconnection of function also becomes to become more and more popular.Therefore, in order to realize functional assessment and the ocean micro-grid system operation that is connected is special
Property analysis, need to establish a complete ocean micro-capacitance sensor models.However, relatively far apart due to these ocean micro-capacitance sensors, and sea
Foreign bad environments are changeable, therefore are difficult to collect the detailed data of each local micro-capacitance sensor to establish complete ocean micro-capacitance sensor models.?
In the case that local micro-capacitance sensor models and status information are unknown, in some specific ocean micro-capacitance sensor or primary study
For portion's power grid, external system or outer net are a "black box"s.Therefore, in the case where only intranet data, how to realize " black
Effective equivalence of case " outer net becomes the critical issue for guaranteeing Intranet specificity analysis accuracy.
Existing external network equivalent Modeling Research is at present just for land power grid, and external network equivalent modeling in land is more complex, needs
It is more to measure point value, and land power grid is connected by power transmission line, in external network equivalent analysis, it is believed that the parameter of transmission line of electricity is not
Become, i.e., does not consider influence of the variation of transmission line parameter to equivalent effect.Yan Wei, Li Shiming, Chen Jun, Lu Jiangang, Guo Lin,
Two-port outer net Static Equivalent method for parameter estimation [J] China electrical engineering of Li Qin, the Zhao Xia based on Intranet real measured data
Report, 2011,31 (13): 101-106；Multizone idle work optimization composition decomposition algorithm of Liu Zhiwen, Liu Ming the wave based on Ward equivalence
[J] Automation of Electric Systems, 2010,34 (14): 63-69. and between the micro-capacitance sensor of ocean by submarine cable be connected, using length
When transmitting electric power apart from submarine cable, not only certain active power can be consumed as common land power transmission line and cause network loss,
Also because of the biggish capacity effect of submarine cable, so that the reactive power by submarine cable is particularly sensitive to the variation of voltage, but
It is that when sea cable parameter changes, may will affect entire more importantly the parameter of sea cable can change with aging
The performance of maritime system.M.Runde,R.Hegerberg,N.Magnusson,E.Ildstad and T.Ytrehus,"
Cavity formation in mass-impregnated HVDC subsea cables-mechanisms and
critical parameters,"in IEEE Electrical Insulation Magazine,vol.30,no.2,
pp.22-33；Kolstad M L,Atle Rygg,Sharifabadi K,et al.Integrating Offshore
Wind Power and Multiple Oil and Gas Platforms to the Onshore Power Grid Using
VSC-HVDC Technology[J].Marine Technology Society Journal,2014,48(48):31-44
(14).Therefore propose that a kind of ocean micro-capacitance sensor group's equivalent modeling method for considering submarine cable Parameters variation is particularly important.
Summary of the invention
One kind is provided and is passed through the purpose of the present invention is the deficiency for the research of existing ocean micro-capacitance sensor group's external network equivalent
Ocean micro-capacitance sensor group's equivalent modeling method of submarine cable interconnection.This method becomes in limited data exchange and submarine cable parameter
In the case of change, estimate that submarine cable and ocean micro-capacitance sensor are complete based on the statistic algorithm of points of common connection (PCC) measurement data
Equivalent model with satisfaction " plug and play " function, and is directed to the unified external network equivalent that the Equivalent Model establishes ocean micro-capacitance sensor
Circuit estimates its equivalent impedance and equal currents source based on covariance theory.In addition, equivalent impedance can reflect sea
The response characteristic of foreign micro-capacitance sensor, therefore can be used for real-time control.
The ocean micro-capacitance sensor group's equivalent modeling method interconnected by submarine cable proposed by the invention includes following implemented
Method and step:
(1) ocean micro-capacitance sensor heap sort
To be defined as a main microgrid with the ocean ocean micro-capacitance sensor that is connected of group's grid control centre, be attached thereto other
Ocean micro-capacitance sensor is defined as from microgrid, and different ocean micro-capacitance sensors is connected with each other by submarine cable, as shown in Figure 1.Main microgrid
Tie point between sea cable is set as PCC, and the electric current from microgrid and main microgrid is I respectivelyMGAnd IPCC.With land power grid class
Seemingly, micro-capacitance sensor group in ocean in line computation generally also requires will to lose interest in or unobservable from microgrid, i.e. extra-net part, into
Row is equivalent；Main microgrid is research power grid, i.e. internal network part.
(2) micro-capacitance sensor group in ocean is from microgrid equivalent circuit
One ocean micro-capacitance sensor can be AES, power plant or have the platform of distributed generator, lead between them
It crosses submarine cable to connect with main microgrid, therefore based on a kind of analysis model that mathematics is rigorous, is exchanged in finite data and to seabed
Under cable data situation of change, the unification of ocean micro-capacitance sensor is established from microgrid equivalent circuit, from the equivalence ginseng of microgrid equivalent circuit
Count the ideal voltage source U by boundary nodeLWith equivalent impedance ZmgComposition.In view of be from the parameter of microgrid and cable it is unknown,
Therefore will be from microgrid and cable as a whole, the system in Fig. 1 is converted into shown in Fig. 2, at this time from microgrid equivalent circuit
Equivalent parameters be ideal current source ILWith equivalent impedance ZL, based on covariance theory to its equivalent impedance and ideal current source into
Row estimation.
(3) weighting function is established
According to settling time in the sampling time weighting function such as following formula of sampled point.The time of sample point gets over current time
Closely, the weight coefficient obtained is bigger.
In formula, t represents current time；tiIndicate the acquisition time of i-th of sample point；t0Indicate sampling initial time.
(4) equivalent parameters from microgrid equivalent circuit are solved
According to the measuring value of the voltage magnitude and phase angle of tie point PCC, current amplitude and phase angle in a period of time, and it is based on
Covariance is theoretical, establishes the parameter estimation equation from microgrid equivalent circuit, and by equivalent impedance estimation equation and time weighting letter
Number combines.
In formula, UPCCAnd IPCCThe respectively voltage and current value of tie point PCC；D indicates variance, D (IPCC) it is electric current
IPCCVariance calculate；COV indicates covariance, COV (UPCC, IPCC) it is tie point voltage UPCC, electric current IPCCCovariance meter
It calculates；Voltage, electric current are vector.
By weighting function (1) and parameter Estimation equation (2), equivalent impedance Z is solvedL:
Equivalent current source I is asked by equivalent impedanceL:
Compared with prior art, the method for the present invention has the advantages that
(1) external network equivalent modeling method application proposed by the invention is ocean micro-capacitance sensor group, compares land outer net
Equivalence method is more succinct, reasonable, special based on ocean micro-capacitance sensor group on the basis of requiring no knowledge about more outer net details
Point and covariance are theoretical, can be used for solving the problems, such as the Static Equivalent of " black box outer net ".
(2) equivalent modeling method proposed by the invention has fully considered the Parameters variation situation of submarine cable, eliminates
Influence of the sea cable Parameters variation to equivalent effect, keeps equivalent result more accurate.
(3) equivalent modeling method proposed by the invention has carried out time weight processing to measurement data, ensure that equivalent
The accuracy of impedance and equivalent source changes gained external network equivalent parameter to Intranet operation characteristic adaptable, equivalent
Effect is good.
Detailed description of the invention
Fig. 1 is ocean micro-capacitance sensor group structure figure
Fig. 2 is the ocean micro-capacitance sensor group structure figure for considering cable data variation.
Fig. 3 is ocean micro-capacitance sensor group's system wiring figure that the method for the present invention is applied in embodiment, digital representation section in figure
Point number.The system interior joint 19-23 is outer net node (from microgrid node), and node 18 is boundary node, remaining is Intranet section
Point (main microgrid node), i.e., dashed box part is to need equivalent outer net in figure.
Fig. 4 is the system wiring figure after the external network equivalent for considering sea cable Parameters variation in embodiment, is outer net in dotted line frame
(from microgrid) equivalent circuit, equivalent parameters are equivalent impedance ZLWith equivalent current source IL。
Fig. 5 is when Intranet (main microgrid) load changes, and Static Power Flow is calculated under three kinds of equivalence methods
Each node VAE value of the main microgrid of system and node voltage value change curve, VAE value and node voltage value are per unit values.
Specific embodiment
With reference to the accompanying drawings and embodiments, the present invention will be described in further detail, so that the purpose of the present invention, technology
Scheme and advantage are more clearly understood.It should be appreciated that described herein, specific examples are only used to explain the present invention, Bu Nengli
Solution is the limitation to the present invention including range, and the person skilled in the art in the field can make one according to the content of aforementioned present invention
A little nonessential modifications and adaptations.
It is that the practical Large marine platform power grid in Bohai Sea Area and marine mobile platform power grid are linked composition shown in Fig. 3.
Line chart depicts the electric hookup of mobile offshore platform in dotted line frame in figure, and rest part is Bohai Sea Large marine platform
Electric network composition, two micro-capacitance sensors are connected by 10 kilometers of submarine cable long between the 4th, Section 18 point.Node 1,10,19 connects respectively
Gas turbine powered generator is connect, two marine micro-capacitance sensors are radial structure.Using the method for the present invention in dotted line frame in Fig. 3
Outer net carry out it is equivalent.Its step are as follows:
(1) ocean micro-capacitance sensor heap sort
Company's ocean micro-capacitance sensor with control centre phase is defined as main microgrid, what remaining was attached thereto is from microgrid, i.e. Fig. 3
Mobile offshore platform in dotted line frame is from outside microgrid, dotted line frame being main microgrid.After the micro-capacitance sensor heap sort of ocean, principal and subordinate's microgrid
Between by submarine cable be connected, the line between Fig. 3 interior joint 4 and 18 is submarine cable.
(2) ocean micro-capacitance sensor outer net equivalent circuit is established
Based on a kind of analysis model that mathematics is rigorous, equivalence is carried out to the mobile offshore platform in Fig. 3 dotted line frame, then ocean
Micro-capacitance sensor equivalent circuit is represented as the circuit being made of an ideal voltage source and equivalent impedance.In view of from microgrid and cable
Parameter be unknown, therefore will be from microgrid and cable as a whole, the equivalent system in Fig. 3 is converted into shown in Fig. 4
Equivalent model, the parameter of external network equivalent circuit to be asked is ideal current source ILWith equivalent impedance ZL。
(3) equivalent parameters of external network equivalent circuit are solved
It is theoretical based on covariance according to one group of measuring value of tie point PCC voltage and current in a period of time, establish outer net
The parameter estimation equation of equivalent circuit, and solved, it is described as follows:
Boundary node state letter interior for a period of time is obtained such as microfacies measuring unit or intelligence instrument by measuring device
Breath, i.e. voltage, current amplitude and phase angle.By the sampling time of collected sampled point, found out respectively by claims formula (1)
The time weighting coefficient of measuring value.Measurement voltage, current value and weight coefficient are substituted into claims formula (3), that is, calculated
Equivalent impedance out, then equivalent current source is found out by formula (4).
For the validity for verifying the method for the present invention, with the practical Large marine platform power grid in Bohai Sea Area shown in Fig. 3 with
Marine mobile platform power grid is linked for composition, verifies the equivalent precision of the method for the present invention.It participates in there are two the methods compared:
(1) PQ equivalence method；(2) PV equivalence method.
It should be noted that: PV equivalence and PQ equivalence method, the short circuit of the slave microgrid obtained when being according to interconnection
Its equivalence is PV node or PQ node by the parameters such as capacity, generator power.
For the precision of three kinds of equivalence methods of quantitative explanation, define two evaluation indexes: node voltage absolute error is averaged
It is worth (VAE) and node voltage value.VAE is bigger, then is reflected under the conditions of test period load variations, the error of Equivalent Model is got over
Greatly, conversely, then illustrating that the accuracy of Equivalent Model is higher.The average value of node voltage absolute error is defined as follows:
In formula, XnIt is the voltage value of the node n of the Equivalent Model obtained by Load flow calculation；It is to be saved under complete model
The voltage value of point n can be used as the voltage reference value of each Equivalent Model node n；N is the sampling number in the period.
Intranet (main microgrid) load changes, and Fig. 5 is that the system under three kinds of equivalence methods is calculated in Static Power Flow
Each node VAE value of main microgrid and node voltage value, VAE value and node voltage value are per unit values.
Shown by the simulation result of Fig. 5: (1) the main microgrid node VAE value being calculated after the method for the present invention is equivalent
VAE value than being calculated after PV, PQ equivalence method is all small, illustrates that equivalence method proposed by the present invention compares other two etc.
The accuracy of value method is higher.(2) electricity being calculated after three kinds of equivalence methods can be seen that by voltage fluctuation curve in figure
The variation tendency of pressure value and actual value is essentially identical, and the node voltage value being calculated after PV equivalence and PQ are equivalent deviates real
Actual value is larger, i.e., error is larger.And the node voltage value being calculated after the method for the present invention is equivalent is more nearly actual value, accidentally
It is poor minimum.
Claims (1)
1. a kind of ocean micro-capacitance sensor group's equivalent modeling method interconnected by submarine cable, which is characterized in that the method includes
Following steps:
(1) ocean micro-capacitance sensor heap sort
The ocean micro-capacitance sensor being connected with ocean group's grid control centre is defined as a main microgrid, other oceans being attached thereto
Micro-capacitance sensor is defined as from microgrid, and different ocean micro-capacitance sensors is connected with each other by submarine cable, as shown in Figure 1.Main microgrid and sea
Tie point between cable is set as PCC, and the electric current from microgrid and main microgrid is I respectivelyMGAnd IPCC.It is similar with land power grid, ocean
Micro-capacitance sensor group's generally also requires will to lose interest in or unobservable from microgrid, i.e. extra-net part in line computation, carries out equivalent；
Main microgrid is research power grid, i.e. internal network part.
(2) ocean micro-capacitance sensor group is established from microgrid equivalent circuit
One ocean micro-capacitance sensor can be AES, power plant or have the platform of distributed generator, pass through sea between them
Bottom cable is connected with main microgrid, therefore based on a kind of analysis model that mathematics is rigorous, is exchanged in finite data and to submarine cable
In the case of Parameters variation, establish the unification of ocean micro-capacitance sensor from microgrid equivalent circuit, from the equivalent parameters of microgrid equivalent circuit by
The ideal voltage source U of boundary nodeLWith equivalent impedance ZmgComposition.In view of be from the parameter of microgrid and cable it is unknown, therefore
Will be from microgrid and cable as a whole, the system in Fig. 1 is converted into shown in Fig. 2, at this time from microgrid equivalent circuit etc.
Value parameter is ideal current source ILWith equivalent impedance ZL, its equivalent impedance and ideal current source are estimated based on covariance theory
It calculates.
(3) weighting function is established
According to settling time in the sampling time weighting function such as following formula of sampled point.The time of sample point is closer with current time, obtains
The weight coefficient arrived is bigger.
In formula, t represents current time；tiIndicate the acquisition time of i-th of sample point；t0Indicate sampling initial time.
(4) equivalent parameters from microgrid equivalent circuit are solved
According to the measuring value of the voltage magnitude and phase angle of tie point PCC, current amplitude and phase angle in a period of time, and it is based on association side
It is poor theoretical, establish the parameter estimation equation from microgrid equivalent circuit, and by equivalent impedance estimation equation and time weighting function phase
In conjunction with.
In formula, UPCCAnd IPCCThe respectively voltage and current value of tie point PCC；D indicates variance, D (IPCC) it is electric current IPCC's
Variance calculates；COV indicates covariance, COV (UPCC, IPCC) it is tie point voltage UPCC, electric current IPCCCovariance calculate；Electricity
Pressure, electric current are vector.
By weighting function (1) and parameter Estimation equation (2), equivalent impedance Z is solvedL:
Equivalent current source I is asked by equivalent impedanceL:
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111539148A (en) * | 2020-04-28 | 2020-08-14 | 西南石油大学 | Method for evaluating current-carrying capacity of submarine umbilical cable conductor |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110057448A1 (en) * | 2009-09-08 | 2011-03-10 | Joseph Page | Wave energy converters |
| CN103632015A (en) * | 2013-12-19 | 2014-03-12 | 国家电网公司 | Equating method and device based on actual measurement information of boundary nodes for two-port network |
| CN106208158A (en) * | 2016-07-22 | 2016-12-07 | 华北电力大学（保定） | The Inertia Matching method of the most micro-source paired running in microgrid |
| CN106357202A (en) * | 2016-09-21 | 2017-01-25 | 天津百利机械装备研究院有限公司 | Wind-solar-diesel power generation control system for island living accommodation and control method |
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110057448A1 (en) * | 2009-09-08 | 2011-03-10 | Joseph Page | Wave energy converters |
| CN103632015A (en) * | 2013-12-19 | 2014-03-12 | 国家电网公司 | Equating method and device based on actual measurement information of boundary nodes for two-port network |
| CN106208158A (en) * | 2016-07-22 | 2016-12-07 | 华北电力大学（保定） | The Inertia Matching method of the most micro-source paired running in microgrid |
| CN106357202A (en) * | 2016-09-21 | 2017-01-25 | 天津百利机械装备研究院有限公司 | Wind-solar-diesel power generation control system for island living accommodation and control method |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111539148A (en) * | 2020-04-28 | 2020-08-14 | 西南石油大学 | Method for evaluating current-carrying capacity of submarine umbilical cable conductor |
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