CN109617130B - Method for calculating reserve capacity of wind power cluster participating in power system frequency modulation - Google Patents
Method for calculating reserve capacity of wind power cluster participating in power system frequency modulation Download PDFInfo
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Abstract
Standby capacitor for wind power cluster participating in power system frequency modulationA method of calculating an amount, the method comprising the steps of: firstly, determining the reserve capacity of the wind power cluster participating in frequency modulation, and the specific steps are as follows: firstly, obtaining the power change required by frequency modulation of each instruction period t of the power gridP t（）A monthly history data of; obtaining the available power change value of each instruction cycle t of the wind power clusterP tF()A monthly history data. According to the method, wind power participates in frequency modulation in a mode of reserving reserve capacity, firstly, power change required by historical frequency modulation of a power grid and a power change value which can be provided by historical wind power clusters are calculated, then, the reserve capacity is valued through data prediction and distribution conditions, and the reserve capacity is issued to each wind power plant. The invention relates to a very practical method for calculating the reserve capacity of a wind power cluster participating in the frequency modulation of a power system, and the reserved optimal value can be obtained through the calculation of the method.
Description
Technical Field
The invention relates to a method for calculating reserve capacity of a wind power cluster participating in frequency modulation of a power system
Background
Wind power generation is an inexhaustible novel energy, people begin to utilize wind energy for production operation very early, the new energy is more and more valued along with the increasing exhaustion of fossil energy, and the wind energy as one of the new energy has the advantages of cleanness, reproducibility, environmental protection and the like and has a wide development prospect. Wind power generation is very environment-friendly, and the generated electric energy is very huge, so more and more countries attach more importance to wind power generation. Wind power generation is a renewable energy source which is influenced by weather and has the characteristics of intermittency and volatility. The generated power of the power grid has larger random fluctuation and poor adjustability, and larger impact current can be generated during grid connection, so that the frequency deviation, voltage fluctuation and flicker of the power grid can be caused, the trend in a feeder line can be changed, the steady-state voltage distribution and the reactive characteristic can be further influenced, and the uncontrollable performance and the peak regulation capacity difficulty of the power grid can be increased.
Disclosure of Invention
The purpose of the invention is as follows:
the invention aims to provide a method for calculating the reserve capacity of a wind power cluster participating in frequency modulation of a power system, which is used for solving the problem of reserving the reserve capacity of a wind power plant cluster participating in frequency modulation of the power system and improving the wind power utilization rate and the reliability of a power grid.
The technical scheme is as follows:
in order to achieve the purpose of the invention, the invention adopts the following technical scheme that: a reserve capacity reservation analysis method for a wind power cluster participating in frequency modulation of a power system comprises the following steps:
firstly, determining the reserve capacity of the wind power cluster participating in frequency modulation, and the specific steps are as follows:
firstly, acquiring power change delta P required by frequency modulation of each instruction cycle t of a power grid(t)A monthly history data of; obtaining the power change value delta P provided by each instruction cycle t of the wind power clusterF(t)A monthly history data.
Then, the wind power cluster power difference per unit time is defined according to the following formula:
S2t+1＝∑(ΔP(t)-ΔPF(t))
S2t+1the power change value required by the grid frequency modulation in continuous time is larger than the sum of the power change value parts of the wind power cluster, as shown by S in figure 11、S3、S5. Wherein successive times are defined as t2i+1T is shown in FIG. 11、t3、t5。
The power balance of the wind power cluster in unit time is defined according to the following formula:
S2t＝∑(ΔPF(t)-ΔP(t))
S2tthe power change value required by the grid frequency modulation in continuous time is not larger than the sum of the power change value parts of the wind power cluster, as shown by S in figure 12、S4、S6. Wherein successive times are defined as t2iT is shown in FIG. 12、t4、t6。
Where t starts at 0 and S is present when t is 00I.e. S0Not equal to 0, at this time, the first time t0The power fluctuation of the wind power cluster can meet the frequency modulation requirement of the power system; if when t is 0, S is not stored0I.e. S00, at the first time t1And the power fluctuation of the wind power cluster cannot meet the frequency modulation requirement of the power system.
Wherein S2t+1And S2tThe time of existence may be different, so t2i+1And t2iThe times may be different and define a complete period Ti＝t2i+1+t2iT shown in FIG. 10、T1、T2The time of each complete cycle T may be different.
Then, defining a complete period wind power cluster power difference delta PT(i)Defined as follows:
ΔPT(i)＝S2t+1-S2t
wind power cluster power difference delta P of one complete periodT(i)The value of the quota representing the lack of the required power of the power grid in a complete period is the power which is just used for explaining that the power fluctuation of the wind power cluster in the period can not meet the frequency modulation requirement of the power grid, and the value is delta P shown in figure 1T(0)And Δ PT(1)(ii) a The value is negative, which indicates that the power fluctuation of the wind power cluster in the period can meet the power required by the frequency modulation of the power grid. As shown in FIG. 1, Δ PT(2)
Sequential time wind power cluster power difference delta PΣ(T(i))Defined as follows:
ΔPΣ(T(i))＝∑ΔPT(i)
indicating the total power shortage, Δ P, of the network calculated in time sequenceΣ(T(i))If the power is larger than zero, the wind power cluster power fluctuation cannot meet the power required by the grid frequency modulation until the current stage, such as delta P shown in FIG. 1Σ(T(0))And Δ PΣ(T(1))；ΔPΣ(T(i))(ii) a When the power is less than or equal to zero, the wind power cluster power fluctuation can meet the power required by the grid frequency modulation until the current stage, such as delta P shown in figure 1Σ(T(2))。
Then taking the Delta PΣ(T(i))The portion greater than zero is
Analyzing the data, studying the distribution, and taking the maximum value of the data as delta PmaxΔ P as shown in FIG. 1max＝ΔPΣ(T(1))(ii) a Taking Delta PΣ(T(i))The fraction less than zero is
Since each power system has different characteristics, the characteristics of different power systems are different
Having different characteristics, based on comparative analysis of monthly history data, of parts of the network
The method has a concentration trend, and the distribution condition has better approximate distribution characteristics. Of part of the network
The dispersion tendency is not good distribution characteristics.
Defining the actual reserved capacity as Δ PactDefining λ as the actual reserved capacity factor, as follows:
ΔPact＝λΔPmax
the actual value of the reserved capacity factor λ may be as follows:
case 1) does not require the wind power cluster to participate in the power system frequency modulation, where λ is 0.
Case 2) requires the wind power cluster to participate in all power system frequency modulation, where λ is 1.
Case 3) there is no need for the wind power cluster to participate in all power system frequency modulation, and efficiency and economy are considered, and there are several methods for lambda value selection:
the method comprises the following steps: with the root mean square as the target, the solving process is as follows:
the method comprises the following steps: the percentage η is calculated as follows:
judging the eta value, if eta is smaller than the capacity occupation ratio of the wind power cluster under the power system, causing the great waste of resources, then the reserve capacity does not need to be reserved at the moment, if eta is larger than the capacity occupation ratio of the wind power cluster under the power system (wherein a value is determined according to the actual conditions of various power systems and the wind power cluster), the lambda value refers to the following formula:
and an empirical value lambda can be obtained according to the historical operation experience of the power grid, so that the aim that the power grid stably operates and the air abandoning rate is lowest is achieved. The lambda value is obtained by analyzing and predicting monthly history data by a data prediction method, or calculating and then obtaining the data distribution mode.
Determining the lambda value participating in the frequency modulation of the power system according to the historical lambda value condition of the power system, determining the power reservation condition of the wind power cluster at the moment, and obtaining data delta PactAnd distributing the data to each wind power plant according to the following formula:
ΔPWirepresenting the power reservation condition of each wind farm in the ithWiRepresenting the capacity of the i-th wind farm.
The lambda value participating in the frequency modulation of the power system at this time is determined according to the historical lambda value condition of the power system, and the historical data of a monthly calendar is analyzed and predicted by a data prediction method, and the data distribution mode can also be calculated.
The advantages and effects are as follows:
a method for calculating reserve capacity of a wind power cluster participating in frequency modulation of a power system is particularly important for controlling the wind power cluster, all wind power plants are integrated to generate power, impact on a power grid can be effectively reduced, and wind power is fully utilized.
In order to enable wind power to play a greater role in a power grid, a wind power cluster is made to participate in frequency modulation control of a power system, under the condition that the wind power participates in frequency modulation of the power system, if a certain spare capacity is not reserved, the frequency modulation capacity is very limited or even cannot participate in frequency modulation, how to achieve the purpose that the wind power participates in frequency modulation to the maximum extent and too much wind power is not lost is achieved, and the reservation of the spare capacity of the wind power cluster is very critical. The invention provides a calculation method for considering the reasons, and the wind power reserve capacity is reserved to the maximum capacity to achieve the frequency modulation effect of the power system while the minimum wind abandon is met.
In summary, the wind power is made to participate in frequency modulation by reserving the reserve capacity, the power change required by historical frequency modulation of the power grid and the power change value historically provided by the wind power cluster are calculated, the reserve capacity is valued through data prediction and distribution conditions, and the value is issued to each wind power plant. The invention relates to a very practical method for calculating the reserve capacity of a wind power cluster participating in the frequency modulation of a power system, and the reserved optimal value can be obtained through the calculation of the method.
Drawings
FIG. 1 shows pairs S according to the invention2t+1，S2tVisual interpretation of (1);
FIG. 2 is a main flow of the method;
fig. 3 is a flowchart of the algorithm of the method.
Detailed Description
The present invention is further illustrated by the following examples, which are illustrative of the present invention and are not to be construed as being limited thereto.
The invention aims to provide a reserve capacity reservation analysis method for a wind power cluster participating in frequency modulation of a power system, which is used for solving the problem of how to reserve the reserve capacity for the wind power plant cluster participating in the frequency modulation of the power system and improving the wind power utilization rate and the reliability of a power grid.
In order to achieve the purpose of the invention, the invention adopts the following technical scheme that: a reserve capacity reservation analysis method for a wind power cluster participating in frequency modulation of a power system comprises the following steps:
firstly, determining the reserve capacity of the wind power cluster participating in frequency modulation, and the specific steps are as follows:
firstly, acquiring power change delta P required by frequency modulation of each instruction cycle t of a power grid(t)A monthly history data of; obtaining the power change value delta P provided by each instruction cycle t of the wind power clusterF(t)A monthly history data.
Then, the wind power cluster power difference per unit time is defined according to the following formula:
S2t+1＝∑(ΔP(t)-ΔPF(t))
S2t+1the power change value required by the grid frequency modulation in continuous time is larger than the sum of the power change value parts of the wind power cluster, as shown by S in figure 11、S3、S5. Wherein successive times are defined as t2i+1T is shown in FIG. 11、t3、t5。
The power balance of the wind power cluster in unit time is defined according to the following formula:
S2t＝∑(ΔPF(t)-ΔP(t))
S2tthe power change value of the power grid frequency modulation requirement in continuous time is not more than wind powerSummation of portions of cluster power variation values, S as shown in FIG. 12、S4、S6. Wherein successive times are defined as t2iT is shown in FIG. 12、t4、t6。
Where t starts at 0 and S is present when t is 00I.e. S0Not equal to 0, at this time, the first time t0The power fluctuation of the wind power cluster can meet the frequency modulation requirement of the power system; if when t is 0, S is not stored0I.e. S00, at the first time t1And the power fluctuation of the wind power cluster cannot meet the frequency modulation requirement of the power system. As shown in fig. 1, S is absent0The case (1).
Wherein S2t+1And S2tThe time of existence may be different, so t2i+1And t2iThe times may be different and define a complete period Ti＝t2i+1+t2iT, as shown in FIG. 10、T1、T2The time of each complete cycle T may be different.
Then, defining a complete period wind power cluster power difference delta PT(i)Defined as follows:
ΔPT(i)＝S2t+1-S2t
wind power cluster power difference delta P of one complete periodT(i)The value of the quota representing the lack of the required power of the power grid in a complete period is the power which is just used for explaining that the power fluctuation of the wind power cluster in the period can not meet the frequency modulation requirement of the power grid, and the value is delta P shown in figure 1T(0)100 and Δ PT(1)And if the value is negative, the power fluctuation of the wind power cluster in the period can meet the power required by the grid frequency modulation. As shown in FIG. 1, Δ PT(2)＝-130
Sequential time wind power cluster power difference delta PΣ(T(i))Defined as follows:
ΔPΣ(T(i))＝∑ΔPT(i)
indicating the total power shortage, Δ P, of the network calculated in time sequenceΣ(T(i))If the power is larger than zero, the wind power cluster power is cut to the current stageThe fluctuation cannot meet the power required for frequency modulation of the power grid, such as Δ P shown in FIG. 1Σ(T(0))100 and Δ PΣ(T(1))＝100+15＝115；ΔPΣ(T(i))When the power is less than or equal to zero, the wind power cluster power fluctuation can meet the power required by the grid frequency modulation until the current stage, such as delta P shown in figure 1Σ(T(2))＝100+15-130＝-15。
Then taking the Delta PΣ(T(i))The portion greater than zero is
Analyzing the data, studying the distribution, and taking the maximum value of the data as delta PmaxΔ P as shown in FIG. 1max＝ΔPΣ(T(1))115 (f); taking Delta PΣ(T(i))The fraction less than zero is
Since each power system has different characteristics, the characteristics of different power systems are different
Having different characteristics, based on comparative analysis of monthly history data, of parts of the network
The method has a concentration trend, and the distribution condition has better approximate distribution characteristics. Of part of the network
The dispersion tendency is not good distribution characteristics.
Let the actual reserved capacity be set to Δ PactThe following formula:
ΔPact＝λΔPmax
λ is defined as the actual reserved capacity factor, and the actual reserved capacity factor λ solution may have the following cases:
case 1) does not require the wind power cluster to participate in the power system frequency modulation, where λ is 0.
Case 2) requires the wind power cluster to participate in all the power system frequency modulation, and λ ═ 1 at this time.
Case 3) there is no need for the wind power cluster to participate in all power system frequency modulation, and efficiency and economy are considered, and there are several methods for lambda value selection:
the method comprises the following steps: with the root mean square as the target, the solving process is as follows:
the method II comprises the following steps: the percentage η is determined as follows:
judging the eta value, if eta is smaller than the capacity occupation ratio of the wind power cluster under the power system, causing the great waste of resources, then the reserve capacity does not need to be reserved at the moment, if eta is larger than the capacity occupation ratio of the wind power cluster under the power system (wherein a value is determined according to the actual conditions of various power systems and the wind power cluster), the lambda value refers to the following formula:
and an empirical value lambda can be obtained according to the historical operation experience of the power grid, so that the aim that the power grid stably operates and the air abandoning rate is lowest is achieved. The lambda value is obtained by analyzing and predicting monthly history data by a data prediction method, or calculating and then obtaining the data distribution mode.
Determining the lambda value participating in the frequency modulation of the power system at this time according to the historical lambda value condition of the power system, determining the power reservation condition of the wind power cluster at this time, and obtaining data delta PactAnd distributing the data to each wind power plant according to the following formula:
ΔPWirepresenting the power reservation condition of each wind farm in the ithWiRepresenting the capacity of the i-th wind farm.
Claims (4)
1. A method for calculating reserve capacity of a wind power cluster participating in frequency modulation of a power system is characterized by comprising the following steps: the calculation method comprises the following specific steps:
(1) obtaining power change delta P required by frequency modulation of each instruction period t of a power grid(t)A monthly history data; obtaining a power change value delta P which can be provided by each instruction cycle t of the wind power clusterF(t)A monthly history data of;
(2) the difference of the unit time wind power cluster power is defined as formula (1) according to the following formula:
S2t+1＝∑(ΔP(t)-ΔPF(t)) (1)
the unit time wind power cluster power balance is defined as formula (2) according to the following formula:
S2t＝∑(ΔPF(t)-ΔP(t)) (2)
S2t+1the power change value required by the grid frequency modulation is larger than the sum of the power change value parts of the wind power cluster in continuous time, wherein the continuous time is defined as t2i+1；S2tThe power change value required by grid frequency modulation in continuous time is not larger than the sum of the power change value parts of the wind power cluster, wherein the continuous time is defined as t2i(ii) a Due to S2t+1And S2tThe existence time will be different, so t2i+1And t2iThe times will also differ and define a complete period Ti＝t2i+1+t2i；
(3) Wind power cluster power difference delta P of one complete periodT(i)Is defined as formula (3) according to the following formula:
ΔPT(i)＝S2t+1-S2t (3)
wind power cluster power difference delta P of one complete periodT(i)Indicating the amount of power shortage required of a full-cycle gridThe value of the power required by the power grid frequency modulation can not be met by the power fluctuation of the periodic wind power cluster when the power fluctuation of the periodic wind power cluster is positive, and the value of the power required by the power grid frequency modulation can be met by the power fluctuation of the periodic wind power cluster when the power fluctuation of the periodic wind power cluster is negative;
sequential time wind power cluster power difference delta P∑(T(i))Is defined as formula (4) according to the following formula:
ΔP∑(T(i))＝∑ΔPT(i) (4)
indicating the total power shortage, Δ P, of the network calculated in time sequence∑(T(i))When the power is larger than zero, the wind power cluster power fluctuation can not meet the power required by power grid frequency modulation, namely delta P∑(T(i))When the power is less than or equal to zero, the power fluctuation of the wind power cluster can meet the power required by the frequency modulation of the power grid when the current stage is reached;
(4) taking Delta P∑(T(i))The portion greater than zero is
Analyzing the data, studying the distribution, and taking the maximum value of the data as delta Pmax(ii) a Taking Delta P∑(T(i))The fraction less than zero is
Obtained from different power systems
Having different characteristics, based on comparative analysis of monthly history data, of parts of the network
The method has a centralized trend, and the distribution condition has better approximate distribution characteristics; of part of the network
The dispersion tendency is not good in distribution characteristics;
defining the actual reserved capacity as Δ PactAnd defining λ as the actual reserved capacity factor, as formula (5):
ΔPact＝λΔPmax (5)
(5) determining the lambda value participating in the frequency modulation of the power system according to the lambda value condition of the monthly history of the power system, determining the power reservation condition of the wind power cluster at the moment, and obtaining data delta PactDistributed to each wind farm, as in formula (6):
ΔPWirepresenting the power reservation condition of each wind farm in the ithWiRepresenting the capacity of the i-th wind farm.
2. The method for calculating the reserve capacity of the wind power cluster participating in frequency modulation of the power system according to claim 1, characterized in that: s mentioned in step (2)2tThe balance of the wind power cluster is defined as unit time, wherein the value of t starts from 0, and S exists when t is 00I.e. S0Not equal to 0, at this time, the first time t0The power fluctuation of the wind power cluster can meet the frequency modulation requirement of the power system; if when t is 0, S is not stored0I.e. S00, at the first time t1And the power fluctuation of the wind power cluster cannot meet the frequency modulation requirement of the power system.
3. The method for calculating the reserve capacity of the wind power cluster participating in frequency modulation of the power system according to claim 1, characterized in that: the actual reserved capacity factor λ mentioned in step (4) is solved as follows:
case 1) the wind power cluster is not needed to participate in the frequency modulation of the power system, and at the moment, lambda is 0;
case 2) the wind power cluster needs to participate in all power system frequency modulation, and λ is 1 at this time;
case 3) there is no need for the wind power cluster to participate in all power system frequency modulation, and efficiency and economy are considered, and there are several methods for lambda value-taking:
the method comprises the following steps: with the root mean square as the target, the solving process is shown in formula (7):
the method II comprises the following steps: calculating the percentage eta as formula (8)
Judging the value of eta, if eta is smaller than the capacity occupation ratio of the wind power cluster in the power system, causing great waste of resources, then the reserve capacity does not need to be reserved, if eta is larger than the capacity occupation ratio of the wind power cluster in the power system, lambda value refers to a formula (9), wherein a value is determined according to actual conditions of different power systems and the wind power cluster;
4. the method for calculating the reserve capacity of the wind power cluster participating in frequency modulation of the power system according to claim 1, characterized in that: the step (5) of determining the lambda value participating in the frequency modulation of the power system at this time according to the historical lambda value condition of the power system is to analyze and predict monthly history data by using a data prediction method and also to calculate the data distribution mode.
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| CN105610159A (en) * | 2016-03-02 | 2016-05-25 | 东北电力大学 | Method for analyzing wind farm-provided primary frequency modulation reserve capacity required for power system |
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