CN111404162A - Regional power grid dispatching domain division method considering voltage stability constraint - Google Patents

Regional power grid dispatching domain division method considering voltage stability constraint Download PDF

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CN111404162A
CN111404162A CN202010341027.2A CN202010341027A CN111404162A CN 111404162 A CN111404162 A CN 111404162A CN 202010341027 A CN202010341027 A CN 202010341027A CN 111404162 A CN111404162 A CN 111404162A
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load
voltage
node
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CN111404162B (en
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宁辽逸
赵冠雄
肖红
王顺江
刘玉舟
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State Grid Corp of China SGCC
State Grid Liaoning Electric Power Co Ltd
Northeast Electric Power University
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State Grid Corp of China SGCC
Northeast Dianli University
State Grid Liaoning Electric Power Co Ltd
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/04Circuit arrangements for ac mains or ac distribution networks for connecting networks of the same frequency but supplied from different sources
    • H02J3/06Controlling transfer of power between connected networks; Controlling sharing of load between connected networks
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28Arrangements for balancing of the load in a network by storage of energy
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46Controlling of the sharing of output between the generators, converters, or transformers
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/70Wind energy
    • Y02E10/76Power conversion electric or electronic aspects

Abstract

A regional power grid dispatching domain division method considering voltage stability constraint belongs to the technical field of regional power grid dispatching domain division methods. According to the method, the voltage stability index is introduced, the power grid operation domain is divided into the normal domain, the abnormal domain and the emergency domain, each operation domain is coordinated and controlled, the complexity of power grid dispatching is relieved, and a certain aid decision function is provided for regional power grid dispatching under the condition that the stable and safe operation of the power grid is guaranteed.

Description

Regional power grid dispatching domain division method considering voltage stability constraint
Technical Field
The invention belongs to the technical field of regional power grid dispatching domain division methods, and particularly relates to a regional power grid dispatching domain division method considering voltage stability constraint.
Background
In order to solve the problems of resource shortage, environmental pollution and the like, human beings replace fossil energy by developing renewable new energy to realize sustainable development of energy. The proportion of renewable energy sources in the operation of a power grid is higher and higher due to various advantages of the renewable energy sources, the renewable energy sources have the characteristics of intermittency, randomness and the like, the voltage stability of the system is greatly influenced, a series of challenges are brought to power grid coordination scheduling, and the scheduling complexity is greatly increased. Therefore, the method ensures the stable and safe operation of the power grid and further realizes the reasonable division of the regional power grid operation scheduling domain, and becomes one of the hot problems to be solved which are concerned by the current scholars.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the method for dividing the regional power grid dispatching domain considering the voltage stability constraint is used for guaranteeing the stable and safe operation of the power grid and realizing reasonable division of the regional power grid operation dispatching domain.
The regional power grid dispatching domain division method considering the voltage stability constraint comprises the following steps which are sequentially carried out,
step one, inputting raw data of a power system into MAT L AB, wherein the raw data comprises an active load probability density function mean value muBP,iMean value mu of probability density function of reactive loadBQ,iVariance σ of probability density function of active load2 BP,iVariance sigma of probability density function of reactive load2 BQ,i
Step two, establishing a wind power output model in MAT L AB, wherein the wind power output model comprises a wind power generation model and a load model,
wherein the wind power generation model is a wind power plant output power function obtained through the relation between wind speed and output and a conditional probability density distribution function of wind power output,
the load model comprises a load active power probability density function and a load reactive power probability density function;
step three, defining L static voltage stability index of a load node according to a relational expression between two nodes in a node power system, calculating the power flow of a reference state of a wind power output model system by using a Newton-Raphson method, classifying the nodes of the wind power output model system, expressing the relation between node voltage and current by using a mixed matrix, obtaining an expression of L static voltage stability index,
writing a power equation of a node under a polar coordinate into a matrix form, expanding the matrix form according to a Taylor series in a reference state to obtain an expanded node injection power expression and semi-invariants of each order of state change caused by discrete distributed load, wherein the semi-invariants of each order comprise semi-invariants of each order of node injection power and semi-invariants of each order of node voltage,
obtaining a sensitivity matrix S through a relational expression of a state variable change value in an expanded node injection power expression, a Jacobian matrix after primary power flow calculation iteration and the sensitivity matrix0
Sampling the expanded node injection power through Monte Carlo to obtain load node injection power W under a rectangular coordinate system;
step five, obtaining a distribution function of the node voltage by utilizing a semi-invariant method and combining with Gram-Charlier series according to the distribution condition of the input variables;
step six, r-order semi-invariants of the voltage stability index L are calculated and obtained according to the additivity of the semi-invariants;
step seven, expressing the stable operation state of the static voltage by using a continuous power flow equation, dividing the power grid operation into a normal operation domain, an abnormal operation domain and an emergency operation domain according to critical points, operating the power grid to the critical points of each operation domain, calculating and obtaining the breakdown voltage by using the continuous power flow,
defining an operation domain partitioning index KpComprises the following steps:
Figure BDA0002466803140000021
in the formula ,ViIs a weak point voltage, VimIn order to have a weak point breakdown voltage,
dividing the index Kp according to the operation domain, and dividing the power grid operation domain into:
Figure BDA0002466803140000022
wherein ,
Figure BDA0002466803140000031
in the formula ,ViminThe weak node voltage V is the minimum output of the conventional unitimaxIs the weak node voltage V when the output force of the conventional unit is maximumisThe weak node voltage when the energy storage device capacity is full.
The wind power plant output power function in the second step is as follows:
Figure BDA0002466803140000032
in the formula ,PNRated power of the fan, vrRated wind speed, vciFor the cut-in wind speed, v, of the fancoCut-out wind speed, k, of the fan1=PN/(vr-vci),k2=-k1vci
The probability density function of the active power and the probability density function of the reactive power of the load in the second step are as follows:
Figure BDA0002466803140000033
in the formula ,μBP,iIs the mean value of the probability density function of the active load, muBQ,iIs the mean value of the probability density function of the reactive load2 BP,iIs the variance, sigma, of the probability density function of the active load2 BQ,iIs the variance of the probability density function of reactive load, muBP,i、μBQ,i、σ2 BP,i、σ2 BQ,iAre all obtained from power system historical data.
The expression of the static voltage stability index L is:
Figure BDA0002466803140000041
in the formula ,FjiIs a matrix FLGThe elements (A) and (B) in (B),
Figure BDA0002466803140000042
is the generator node voltage,
Figure BDA0002466803140000043
Is the load node voltage.
The expanded node injection power expression is as follows:
W=W0+ΔW
=F(X0,Y0)+Fx'(X0,Y0)ΔX+
Fy'(X0,Y0)ΔY
in the formula ,W0=F(X0,Y0),X0、Y0Is a ground state variable; Δ W ═ Fx'(X0,Y0) Δ X, Δ Y are state variable change values;
wherein Δ X ═ S0ΔW,
Figure BDA0002466803140000044
J0Calculating an iterated Jacobian matrix for the primary power flow, S0Is a sensitivity matrix.
In the sixth step, the r-order semi-invariant of the voltage stabilization L index is as follows:
Figure BDA0002466803140000045
in the formula ,FjiIs a matrix FLGElement (II) of (III), FLGIs a sub-matrix of the H-matrix,
Figure BDA0002466803140000046
is a semi-invariant of the generator and load voltage,
Figure BDA0002466803140000047
Is the r-order semi-invariant of the load voltage.
Through the design scheme, the invention can bring the following beneficial effects:
according to the method, the voltage stability index is introduced, the power grid operation domain is divided into the normal domain, the abnormal domain and the emergency domain, each operation domain is coordinated and controlled, the complexity of power grid dispatching is relieved, and a certain aid decision function is provided for regional power grid dispatching under the condition that the stable and safe operation of the power grid is guaranteed.
Drawings
The invention is further described with reference to the following figures and detailed description:
fig. 1 is a simple system model in the regional power grid dispatching domain division method considering voltage stability constraint of the present invention.
Fig. 2 is a flow chart of the regional power grid scheduling domain partitioning method considering the voltage stability constraint of the present invention.
Fig. 3 is a conceptual diagram of a power grid operation domain in the regional power grid scheduling domain division method considering voltage stability constraints.
Fig. 4 is a wiring diagram of an IEEE30 node system according to an embodiment of the present invention in a regional power grid dispatching domain division method considering voltage stability constraints.
Fig. 5 is a node 30PV curve of an embodiment of the present invention in a regional power grid dispatch domain partitioning method that takes voltage stability constraints into account.
Fig. 6 is a power grid operation domain division diagram in the embodiment of the method for dividing the regional power grid scheduling domain in consideration of the voltage stability constraint.
Detailed Description
The method for dividing the regional power grid dispatching domain considering the voltage stability constraint comprises the following steps:
1. wind power generation model
The conditional probability density distribution function of wind power output generally follows a weibull distribution:
Figure BDA0002466803140000051
wherein v is the wind speed, c is the proportional parameter, and k is the shape parameter.
According to the relation between the wind speed and the output and a formula (1), the output power of the wind power plant is obtained as follows:
Figure BDA0002466803140000052
in the formula ,PNRated power of the fan, vrRated wind speed, vciV is the cut-in wind speed of the fancoCut-out wind speed, k, of the fan1=PN/(vr-vci);k2=-k1vci
2. Load model
Due to uncertain factors such as weather and temperature, the predicted value of the load in the power system has strong uncertainty. The probability density functions of the active power and the reactive power of the load both satisfy normal distribution as follows:
Figure BDA0002466803140000061
in the formula ,μBP,iIs the mean value of the probability density function of the active load, muBQ,iIs the mean value of the probability density function of the reactive load2 BP,iIs the variance, sigma, of the probability density function of the active load2 BQ,iIs the variance of the probability density function of reactive load, muBP,i、μBQ,i、σ2 BP,i、σ2 BQ,iAre all obtained from power system historical data.
3. Static voltage stability L index
In a multi-node system, network nodes are divided into two types, one is a load node, and the other is a generator node and a balance node.
As shown in fig. 1, in a two-node system there are:
Figure BDA0002466803140000062
in the formula ,Y11、Y12、Y21、Y22Are all elements of the system admittance matrix,
Figure BDA0002466803140000063
is the conjugate of the complex power flowing into node 1.
Figure BDA0002466803140000064
Is the voltage of node 1,
Figure BDA0002466803140000065
The voltage of node 2.
The formula (4) can be changed into
Figure BDA0002466803140000066
in the formula ,
Figure BDA0002466803140000067
in the formula ,y11、y12Respectively, the branch admittance of the pi-type circuit.
Defining the voltage stability indicator L as
Figure BDA0002466803140000071
After the system nodes are classified, the relation between the node voltage and the current can be expressed by a mixed matrix
Figure BDA0002466803140000072
in the formula ,VLGRepresenting the voltage of the load node, VGRepresenting the voltage at the generator node, ILRepresenting the current at the load node, IGRepresenting the current of the generator node, ZLL、FLG、KGL、YGGRespectively, a sub-matrix of the H-matrix.
The expression of the voltage stability index L is
Figure BDA0002466803140000073
in the formula ,FjiIs a matrix FLGThe elements (A) and (B) in (B),
Figure BDA0002466803140000074
is the voltage at the node of the generator,
Figure BDA0002466803140000075
is the load node voltage.
4. Voltage stabilization L index based on random power flow calculation
The power equation of the node under polar coordinates can be written in the form of a matrix
W=F(X,Y) (10)
Wherein W is the node injection power, X is the state variable, and Y is the network structure parameter.
The above formula is expanded in the reference state according to Taylor series
Figure BDA0002466803140000076
in the formula ,W0=F(X0,Y0),X0、Y0Is a baseA state variable. Δ W is the node injection power variation, and Δ W is equal to Fx'(X0,Y0) Δ X, Δ Y are state variable change values, Δ X ═ S0ΔW,
Figure BDA0002466803140000081
J0Calculating an iterated Jacobian matrix for the primary power flow, S0Is a sensitivity matrix.
When calculating the mean voltage stabilization L index, X is expressed as the node voltage.
Assuming that the network structure parameter Y is not changed, there are
ΔW=Fx'(X0,Y0)ΔX (12)
Under the rectangular coordinate system is
W=[P1Q1... P(n-1)Qn-1]T(13)
V=[e1f1... en-1fn-1]T(14)
The method comprises the following steps of obtaining W through Monte Carlo sampling calculation, regarding all uncertain factors as random fluctuation of node injection power, carrying out deterministic power flow calculation on system data obtained through Monte Carlo sampling each time, then obtaining a distribution function of node voltage by using a semi-invariant method and combining Gram-Charlier series according to the distribution condition of input variables, on the basis, providing a mean voltage stability L index under random power flow, and carrying out static voltage stability analysis on a system containing wind power.
In the formula (10), the injected power parameter lambda is derived
Figure BDA0002466803140000082
By transforming the formula
Figure BDA0002466803140000083
Namely, it is
ΔV=S0ΔW (17)
Where Δ V is the variation of the node voltage, Δ W is the variation of the node injection power, S0In order to be a sensitivity matrix, the sensitivity matrix,
according to the property of the semi-invariants, r-order semi-invariants delta W of the injection power of each node of the system are obtained from r-order semi-invariants of the node load and the power supply injection power(r)And is provided with
Figure BDA0002466803140000091
in the formula ,ΔP(r)Semi-invariant of order r, Δ Q, of active power(r)Is an r-order semi-invariant of reactive power,
Figure BDA0002466803140000092
is an r-order semi-invariant of the active power of the generator,
Figure BDA0002466803140000093
is an r-order semi-invariant of the load active power,
Figure BDA0002466803140000094
is an r-order semi-invariant of the reactive power of the generator,
Figure BDA0002466803140000095
Is the r-order semi-invariant of the reactive power of the load.
Thereby obtaining
Figure BDA0002466803140000096
in the formula ΔV(r)Is a semi-invariant of order r, S, of the node voltage0 (r)A matrix formed by the elements of the matrix raised to the power of r, Δ W(r)An r-order semi-invariant of the injected power for each node,
from the additivity of the semi-invariants, r-order semi-invariants of the voltage stability indicator L are calculated
Figure BDA0002466803140000097
in the formula ,
Figure BDA0002466803140000098
is a semi-invariant of the generator voltage of order r,
Figure BDA0002466803140000099
is the r-order semi-invariant of the load voltage. The specific model solving flow is shown in fig. 2.
5. Multi-domain partitioning index definition
The power grid is in a normal operation stage, namely a normal operation domain, and the system does not exceed the regulation capacity of a conventional thermal power generating unit at the moment; the power grid has no normal regulation capacity and is in an abnormal operation stage, namely an abnormal operation domain, and at the moment, the energy storage battery charges and discharges the system to stabilize the fluctuation of wind power; the power grid loses the regulation and control capability and is in an emergency operation state, namely an emergency operation domain, and the safe and stable operation of the power grid is ensured by reasonably abandoning wind/light. The grid operating domain division is shown in fig. 3.
The continuous power flow is an important method for analyzing the static voltage stability problem and consists of four parts of prediction, correction, parameterization strategy and step length control, and the continuous power flow equation is
Figure BDA0002466803140000101
in the formula ,PGiIs the active power of the generator, PLiBeing active power of the load, QGiBeing reactive power of the generator, QLiBeing reactive power of the load, ViIs the node voltage amplitude, θiIs a nodal phase angle, Gij、BijAre all node admittance matrix elements, λ is a load parameter, kGiThe generator climbing coefficient.
And when the power grid runs to the critical point of each operation domain, observing the voltage of the whole power grid, finding the weakest node, and calculating the breakdown voltage by using the continuous power flow.
The voltage of the weak node changes along with the change of the active power, and the observation of the voltage of the weak node is a key point for defining and dividing the index of the power grid operation domain.
Index K for dividing power grid operation domainpIs defined as:
Figure BDA0002466803140000102
in the formula ,ViIs a weak point voltage, VimIs the weak point breakdown voltage.
According to the index KpDivision of the grid operating domain
Figure BDA0002466803140000103
wherein ,
Figure BDA0002466803140000104
in the formula ,ViminThe weak node voltage V is the minimum output of the conventional unitimaxIs the weak node voltage V when the output force of the conventional unit is maximumisFor weak node voltage, V, when the capacity of the energy storage device is fullimIs the weak point breakdown voltage.
Example (b):
the invention is further illustrated by the following figures and examples.
In the embodiment, based on an IEEE-30 node typical system, generators of nodes 11 and 13 are replaced by wind power with the capacity of 50MW, the proportion of the wind power access capacity to the total installed capacity is 25%, an energy storage device with the capacity of 100MW & h is additionally arranged at a node 15, and a system wiring diagram is shown in FIG. 4.
In the IEEE-30 node system, the node 1 is a balance node, the nodes 2, 5, 8, 11 and 13 are PV nodes, and the nodes 6, 9, 22, 25, 27 and 28 are contact nodes, the mean voltage of the system is stable L indexes under different injection power levels and different random disturbances, the node 30 is the weakest node, and the node 3 is the most stable node.
The weakest node of the whole network of the stored energy at the charging and discharging time is the node 30, and the PV curves of the node 30 at two times are shown in FIG. 5.
As can be seen from FIG. 5, the limit voltage V of the node 30mIs 0.55, according to definition KpIndex finding method and related data finding K at this timepminA value of approximately 1.87, KpmaxA value of approximately 1.78, KpsA value of approximately 1.91 based on KpThe division of the operation domain of the index power grid is shown in fig. 6.
When the wind power output reaches the limit power PwmaxWhen the test is carried out, the test result is 1-13; 17-23; in the period of 25-30, the load is higher than the wind power output limit power and the minimum output of the conventional unit but lower than the maximum output of the conventional unit, when the load is increased, the conventional unit has the capability of upward adjustment, the power grid operates in a normal domain, and the power grid is 1.78<Kp<1.87, in the range of 0 to 1; 13-14; in the period, the load is lower than the wind power output limit power and the minimum output of the unit, the conventional unit does not have the capability of downward regulation, and the power grid operates in an abnormal region, 1.87<Kp<1.91, the energy storage state is charging, in the period of 23-25, the load is higher than the wind power output limit and the maximum output of the unit, the conventional unit does not have the capability of upward adjustment, the power grid operates in an abnormal domain, the energy storage state is discharging, 1<Kp<1.78; in the period of 15-19, the stored energy reaches the maximum capacity, the wind power cannot be consumed, and the power grid operates in an emergency domain, 1.91<Kp
The method of the invention divides the power grid operation domain into a normal domain, an abnormal domain and an emergency domain, and carries out coordination control on each operation domain respectively, thereby relieving the complexity of power grid dispatching and providing a certain assistant decision function for regional power grid dispatching.

Claims (6)

1. The regional power grid dispatching domain division method considering the voltage stability constraint is characterized by comprising the following steps: comprises the following steps which are sequentially carried out,
step one, the power system is originalInputting data into MAT L AB, wherein the raw data comprises the mean value mu of probability density function of active loadBP,iMean value mu of probability density function of reactive loadBQ,iVariance σ of probability density function of active load2 BP,iVariance sigma of probability density function of reactive load2 BQ,i
Step two, establishing a wind power output model in MAT L AB, wherein the wind power output model comprises a wind power generation model and a load model,
wherein the wind power generation model is a wind power plant output power function obtained through the relation between wind speed and output and a conditional probability density distribution function of wind power output,
the load model comprises a load active power probability density function and a load reactive power probability density function;
step three, defining L static voltage stability index of a load node according to a relational expression between two nodes in a node power system, calculating the power flow of a reference state of a wind power output model system by using a Newton-Raphson method, classifying the nodes of the wind power output model system, expressing the relation between node voltage and current by using a mixed matrix, obtaining an expression of L static voltage stability index,
writing a power equation of a node under a polar coordinate into a matrix form, expanding the matrix form according to a Taylor series in a reference state to obtain an expanded node injection power expression and semi-invariants of each order of state change caused by discrete distributed load, wherein the semi-invariants of each order comprise semi-invariants of each order of node injection power and semi-invariants of each order of node voltage,
obtaining a sensitivity matrix S through a relational expression of a state variable change value in an expanded node injection power expression, a Jacobian matrix after primary power flow calculation iteration and the sensitivity matrix0
Sampling the expanded node injection power through Monte Carlo to obtain load node injection power W under a rectangular coordinate system;
step five, obtaining a distribution function of the node voltage by utilizing a semi-invariant method and combining with Gram-Charlier series according to the distribution condition of the input variables;
step six, r-order semi-invariants of the voltage stability index L are calculated and obtained according to the additivity of the semi-invariants;
step seven, expressing the stable operation state of the static voltage by using a continuous power flow equation, dividing the power grid operation into a normal operation domain, an abnormal operation domain and an emergency operation domain according to critical points, operating the power grid to the critical points of each operation domain, calculating and obtaining the breakdown voltage by using the continuous power flow,
defining an operation domain partitioning index KpComprises the following steps:
Figure FDA0002466803130000021
in the formula ,ViIs a weak point voltage, VimIn order to have a weak point breakdown voltage,
dividing the index Kp according to the operation domain, and dividing the power grid operation domain into:
Figure FDA0002466803130000022
wherein ,
Figure FDA0002466803130000023
in the formula ,ViminThe weak node voltage V is the minimum output of the conventional unitimaxIs the weak node voltage V when the output force of the conventional unit is maximumisThe weak node voltage when the energy storage device capacity is full.
2. The method for dividing the regional power grid dispatching domain considering the voltage stability constraint as claimed in claim 1, wherein the method comprises the following steps: the wind power plant output power function in the second step is as follows:
Figure FDA0002466803130000024
in the formula ,PNRated power of the fan, vrRated wind speed, vciFor the cut-in wind speed, v, of the fancoCut-out wind speed, k, of the fan1=PN/(vr-vci),k2=-k1vci
3. The method for dividing the regional power grid dispatching domain considering the voltage stability constraint as claimed in claim 1, wherein the method comprises the following steps: the probability density function of the active power and the probability density function of the reactive power of the load in the second step are as follows:
Figure FDA0002466803130000031
in the formula ,μBP,iIs the mean value of the probability density function of the active load, muBQ,iIs the mean value of the probability density function of the reactive load2 BP,iIs the variance, sigma, of the probability density function of the active load2 BQ,iIs the variance of the probability density function of reactive load, muBP,i、μBQ,i、σ2 BP,i、σ2 BQ,iAre all obtained from power system historical data.
4. The method for dividing the regional power grid dispatching domain considering the voltage stability constraint as claimed in claim 1, wherein the expression of the static voltage stability index L is as follows:
Figure FDA0002466803130000032
in the formula ,FjiIs a matrix FLGThe elements (A) and (B) in (B),
Figure FDA0002466803130000033
the node voltage of the generator,
Figure FDA0002466803130000034
Is the load node voltage.
5. The method for dividing the regional power grid dispatching domain considering the voltage stability constraint as claimed in claim 1, wherein the method comprises the following steps: the expanded node injection power expression is as follows:
W=W0+ΔW
=F(X0,Y0)+F′x(X0,Y0)ΔX+F′y(X0,Y0)ΔY
in the formula ,W0=F(X0,Y0),X0、Y0Is a ground state variable; delta W ═ F'x(X0,Y0) Δ X, Δ Y are state variable change values;
wherein Δ X ═ S0ΔW,
Figure FDA0002466803130000035
J0Calculating an iterated Jacobian matrix for the primary power flow, S0Is a sensitivity matrix.
6. The method for dividing the regional power grid dispatching domain considering the voltage stability constraint as claimed in claim 1, wherein the r-order semi-invariant of the voltage stability L index in the sixth step is as follows:
Figure FDA0002466803130000041
in the formula ,FjiIs a matrix FLGElement (II) of (III), FLGAnd Vr i is an r-order semi-invariant of the generator and load voltage, and Vr j is an r-order semi-invariant of the load voltage.
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CN113723821A (en) * 2021-08-31 2021-11-30 广东电网有限责任公司 Power grid fault early warning method and device based on power flow betweenness

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CA2602888A1 (en) * 2007-07-27 2009-01-27 British Columbia Transmission Corporation Method and system of real-time estimation of transmission line parameters in on-line power flow calculations
CN108879658A (en) * 2018-06-20 2018-11-23 华侨大学 A kind of voltage weak spot discrimination method of active distribution network
CN110460085A (en) * 2019-08-28 2019-11-15 华北电力大学(保定) A method of consider wind-powered electricity generation and part throttle characteristics to effect on power system
CN110518627A (en) * 2019-05-28 2019-11-29 国网辽宁省电力有限公司电力科学研究院 Meter and the probabilistic power system steady state voltage stability probability evaluation method of failure of wind-powered electricity generation
CN110601190A (en) * 2019-09-23 2019-12-20 国网辽宁省电力有限公司鞍山供电公司 Regional power grid operation domain division method

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CA2602888A1 (en) * 2007-07-27 2009-01-27 British Columbia Transmission Corporation Method and system of real-time estimation of transmission line parameters in on-line power flow calculations
CN108879658A (en) * 2018-06-20 2018-11-23 华侨大学 A kind of voltage weak spot discrimination method of active distribution network
CN110518627A (en) * 2019-05-28 2019-11-29 国网辽宁省电力有限公司电力科学研究院 Meter and the probabilistic power system steady state voltage stability probability evaluation method of failure of wind-powered electricity generation
CN110460085A (en) * 2019-08-28 2019-11-15 华北电力大学(保定) A method of consider wind-powered electricity generation and part throttle characteristics to effect on power system
CN110601190A (en) * 2019-09-23 2019-12-20 国网辽宁省电力有限公司鞍山供电公司 Regional power grid operation domain division method

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
朱星阳;张建华;刘文霞;邱威;吴旭;蒋程;: "风电并网引起电网电压波动的评价方法及应用" *
李默;马瑞;余鹏;吴震宇;杨海晶;杨旭;: "含DFIG风电场的配电网静态电压稳定指标研究" *
陈磊;闵勇;侯凯元;: "考虑风电随机性的静态电压稳定概率评估" *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113723821A (en) * 2021-08-31 2021-11-30 广东电网有限责任公司 Power grid fault early warning method and device based on power flow betweenness
CN113723821B (en) * 2021-08-31 2024-04-26 广东电网有限责任公司 Power grid fault early warning method and device based on tide betweenness

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