CN111769577A - Automatic power generation control method and device of wind-solar power system - Google Patents
Automatic power generation control method and device of wind-solar power system Download PDFInfo
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- H—ELECTRICITY
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- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/24—Arrangements for preventing or reducing oscillations of power in 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
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
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Abstract
The invention discloses an automatic power generation control method and device of a wind-solar power system, which relate to the field of power system frequency modulation and comprise the following steps: (1) establishing a randomness model of control deviation of a region containing a wind-solar power system; (2) establishing an energy storage area control model, establishing an energy storage output model in an area interconnection system, and controlling the total active power difference of the power system; (3) and formulating an energy storage participation power grid AGC control strategy, partitioning energy storage output according to the average value of ACE, and further determining an energy storage control strategy. The energy storage AGC method of the wind-light-containing power system considering the random ACE can solve the negative influence of ACE uncertainty on the stability of the power system.
Description
Technical Field
The application belongs to the technical field of energy storage frequency modulation, and particularly relates to an automatic power generation control method and device of a wind-solar power system.
Background
The power and frequency regulation of the regional interconnected power grid tie line is the main condition for maintaining the stability of the system, and the Automatic Generation Control (AGC) is an important means for realizing the balance of the generation power and the load power and ensuring the stability of the power grid frequency and the tie line power. In recent years, with the rapid development of renewable energy sources such as wind and light, the frequency modulation of a conventional unit cannot meet the frequency modulation system of a power system, and the stored energy has good application prospect when being used as an auxiliary frequency modulation means to participate in AGC control of a high-proportion wind and light regional power system.
Although the influence of wind power and photovoltaic on frequency is taken into consideration in the current research, an ACE model is still uncertain, and will bring negative influence on the frequency modulation of a power system and the auxiliary frequency modulation of energy storage, even influence the stability of the power system. Meanwhile, the ACE model is uncertain, and the energy storage control strategy is changed accordingly.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the method aims to solve the problems that an ACE model in the prior art is uncertain, negative effects are brought to power system frequency modulation and energy storage auxiliary frequency modulation, and even the stability of a power system is affected.
In order to solve the technical problems, the invention provides an automatic power generation control method and device of a wind-light-containing power system considering randomness ACE.
The technical scheme adopted by the invention for solving the technical problems is as follows:
the invention provides an automatic power generation control method of a wind-solar power system, which comprises the following steps:
according to the calculated random area control deviation ACE, dividing the energy storage output into zones, namely a dead zone, a normal regulation zone, a secondary emergency regulation zone and an emergency regulation zone;
when ACE is not less than 0 |deadWhen the ACE circuit is used, the value of the ACE is judged to be in a dead zone range, the system is slightly disturbed, the energy storage does not act, namely the energy storage output is 0, | ACE memorydeadRepresents a dead band limit;
when | ACE |)dead<|ACE|≤|ACE|regularWhen the ACE value is determined to be in the range of the normal adjusting area, the energy storage allocates the frequency modulation signal requirement to the energy storage according to the set proportion to bear, | ACE memoryregularIndicating a normal regulatory region boundary;
when | ACE |)regular<|ACE|≤|ACE|emergencyWhen the system is used, the ACE value is judged to be in the range of the secondary emergency adjusting area, the traditional unit can not meet the requirement of system frequency modulation, the stored energy is used for carrying out frequency modulation with the maximum power, | ACE | airemergencyRepresenting a secondary emergency regulatory region boundary;
when | ACE |)>|ACE|emergencyAnd when the ACE value is determined to be in the range of the emergency adjusting area, the energy storage and the traditional unit can not meet the frequency modulation requirement any more, and the energy storage output is 0.
A second aspect of the present invention provides an automatic power generation control apparatus including a wind-solar power system, comprising:
the partitioning module is used for partitioning the energy storage output according to the calculated random area control deviation ACE, namely a dead zone, a normal regulation zone, a secondary emergency regulation zone and an emergency regulation zone;
a first judgment module used for counting the air when | ACE | is less than or equal to 0 | < ACE |)deadWhen the ACE value is in the dead zone range, the system is less disturbed, the energy storage does not act, namely the energy storage output is 0, | ACE | calculation of the luminancedeadRepresents a dead band limit;
a second judging module for judging whether the ACE is the dominant raydead<|ACE|≤|ACE|regularWhen the ACE value is in the range of the normal regulation area, the energy storage distributes the frequency modulation signal demand to the energy storage according to the set proportion to bear, | ACE shadingregularIndicating a normal regulatory region boundary;
a third judgment module for calculating the current moment of ACEregular<|ACE|≤|ACE|emergencyWhen the system is used, the value of ACE is in the range of a secondary emergency adjusting area, the traditional unit can not meet the requirement of system frequency modulation, the stored energy is used for carrying out frequency modulation with the maximum power, | ACE | air countemergencyRepresenting a secondary emergency regulatory region boundary;
a fourth judgment module for calculating the current amount of ACE>|ACE|emergencyIn time, the value of ACE is in the scope of urgent regulatory region, and the energy storage can no longer satisfy the frequency modulation demand with traditional unit, and the energy storage is exerted oneself and is 0.
The invention has the beneficial effects that: the technical scheme provided by the invention has feasibility and effectiveness, and the energy storage participation power grid frequency modulation strategy provided by the invention can not only deal with the scene of random wind and light access to the power system, but also deal with the condition of other loads accessing the system.
Drawings
The technical solution of the present application is further explained below with reference to the drawings and the embodiments.
FIG. 1 is a flow chart of a method of an embodiment of the present application;
FIG. 2 is a schematic view of a section of the energy storage capacity of an embodiment of the present application.
Detailed Description
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
The technical solutions of the present application will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Example 1
The present embodiment provides an automatic power generation control method of a wind and photovoltaic power system, as shown in fig. 1, including:
s1, according to the calculated random area control deviation ACE, dividing the energy storage output into a dead area, a normal regulation area, a secondary emergency regulation area and an emergency regulation area;
s2 when ACE is not less than 0deadWhen the ACE circuit is used, the value of the ACE is judged to be in a dead zone range, the system is slightly disturbed, the energy storage does not act, namely the energy storage output is 0, | ACE memorydeadRepresents a dead band limit;
s3 when | ACEdead<|ACE|≤|ACE|regularWhen the ACE value is determined to be in the range of the normal adjusting area, the energy storage allocates the frequency modulation signal requirement to the energy storage according to the set proportion to bear, | ACE memoryregularIndicating a normal regulatory region boundary;
s4 when | ACEregular<|ACE|≤|ACE|emergencyWhen the system is used, the ACE value is judged to be in the range of the secondary emergency adjusting area, the traditional unit can not meet the requirement of system frequency modulation, the stored energy is used for carrying out frequency modulation with the maximum power, | ACE | airemergencyRepresenting a secondary emergency regulatory region boundary;
s5 when | ACE>|ACE|emergencyAnd when the ACE value is determined to be in the range of the emergency adjusting area, the energy storage and the traditional unit can not meet the frequency modulation requirement any more, and the energy storage output is 0.
In this embodiment, a randomness area control deviation ACE is calculated by establishing a randomness model of area control deviation of a wind-light-containing power system, and an energy storage action interval is divided into a dead zone, a normal regulation zone, a secondary emergency regulation zone and an emergency regulation zone according to the magnitude of the randomness area control deviation ACE obtained by calculation, wherein the specific interval division is as shown in fig. 2, in the dead zone, 0 ≦ ACE |dead(ii) a In the normal regulation zone, | ACE |dead<|ACE|≤|ACE|regular(ii) a (ii) a sub-emergency accommodation zone, | ACE | non-woven cellsregular<|ACE|≤|ACE|emergency(ii) a Emergency regulating area, | ACE | non-woven fabrics>|ACE|emergency。
And then, controlling the energy storage output according to the region where the ACE is located.
Optionally, the method for calculating the random area control deviation ACE in this embodiment is as follows:
simulating wind speed and illumination intensity through weibull distribution and beta distribution to further obtain a wind and light random output model;
establishing a randomness model of control deviation of a region containing a wind-solar power system, namely:
wherein the content of the first and second substances,
it is shown that the frequency of the fluctuations,
representing the link power fluctuation and B is the frequency deviation factor.
In the embodiment, wind speed and illumination intensity are simulated through weibull distribution and beta distribution, and further random wind and light output is obtained.
S11 establishment of wind power processing random model
According to the two-parameter weibull distribution, a wind speed probability density function f (v) can be obtained:
and further obtaining a wind speed probability distribution function F (v):
in the formula: v is the wind speed; k is a shape parameter; and c is a scale parameter.
By calculating the average value and the standard value of the actual wind speed, the values of two parameters of the weibull distribution can be obtained, and the random wind speed can be obtained:
fan random output Pwind：
In the formula:
k2＝-k1vci；vci、vco、vrrespectively the cut-in wind speed, the cut-out wind speed and the rated wind speed of the wind turbine generator set, m/s; pwtrRated power, MW, of the fan.
S12: establishment of photovoltaic output stochastic model
The solar cell array is the core of a photovoltaic power generation system, the output of the solar cell array has a direct relation with the illumination irradiation intensity E, the total area S of the solar cell array and the photoelectric conversion efficiency eta, and the output model is as follows:
Pp＝ESη
photovoltaic power generation adopts beta distribution to simulate solar radiation intensity, and a probability density function is obtained:
in the formula: emAnd obtaining a cumulative probability distribution function F (E) of the E by inverting the probability density function f (E):
thus obtaining a random value of the intensity of the illumination radiation E:
E＝EM*F-1(E)
s13 building of area control deviation (ACE) randomness model containing wind and light power system
The ACE is mainly determined by frequency and tie line power, and the wind power and photovoltaic randomness active power output change of the embodiment considering frequency deviation delta f
The following were used:
in the formula:
the output power of wind power is;
is the photovoltaic output power.
On the premise of not counting loads and other factors, wind and light are added into the system as disturbance, and the influence of system output, the moment of inertia M of the power system and a damping coefficient D is considered at the same time to obtain a frequency change equation:
in the formula: delta PGIs the amount of power adjustment. In a two-zone interconnect system, frequency fluctuations are taken into account
And tie line power synchronization coefficient TtieTie line power PTThe change equation of (a) is as follows:
in the formula: kGThe power is adjusted in units of time,
is the respective frequency fluctuations of the two regions. And obtaining the random Area Control Error (ACE) according to the obtained frequency and the tie line power fluctuation equation:
wherein B is a frequency deviation coefficient.
Optionally, the embodiment further includes a step of establishing a random model of energy storage output, specifically:
in this embodiment, a storage battery energy storage system is used to control the randomness regional control deviation ACE, and an energy storage output stochastic model is established, specifically as follows:
because the uncertainty of the ACE brings more difficulty to the frequency modulation of the power system, the conventional unit cannot meet the requirement of the frequency modulation, and the embodiment takes a two-region interconnection system as an example, and the stored energy is accessed to perform auxiliary frequency modulation in AGC.
In a single-region control system, before energy storage is not added, the total active variable quantity of the system can be obtained:
under the action of a speed regulator and a reheating turbine, the traditional thermal power generating unit can obtain equivalent power output delta PG：
ΔPR＝∫K·ACEdt
In the formula: delta PRControl power for ACE; k is the gain of the integral controller; r is the adjustment coefficient of the system; t isgAnd TtRespectively speed regulator and re-regulatorTime constant of the hot turbine.
The total active change of the system after the energy storage is added varies as follows:
in the formula: delta PBESSAnd the energy storage output is provided.
In this embodiment, the storage battery energy storage system is adopted to directly control the ACE, and the energy storage output stochastic model is as follows:
the method for establishing the energy storage participation power grid AGC control strategy comprises the following steps:
as shown in the attached figure 1, the ACE average value is used as a signal for guiding energy storage action, and an energy storage action interval is divided into four adjustment intervals, namely a dead zone, a normal adjustment zone, a secondary emergency adjustment zone and an emergency adjustment zone according to the magnitude of an ACE absolute value.
When ACE is not less than 0 |deadWhen the ACE value is in the range of the dead zone, the system is less disturbed, and the stored energy does not act, namely delta PBESS＝0；
When | ACE |)dead<|ACE|≤|ACE|regularDuring the time, the value of ACE is in the within range of normal regulatory region, and the energy storage is undertaken with frequency modulation signal demand allocation to the energy storage according to certain proportion this moment, and the energy storage mainly undertakes the proportion of high frequency component, this moment:
in the formula: k is a control coefficient, and can be 0.3-0.4.
When | ACE |)regular<|ACE|≤|ACE|emergencyWhen the system is in a secondary emergency regulation area, the value of ACE is within the range of the secondary emergency regulation area, the traditional unit cannot meet the requirement of system frequency modulation, and the energy storage needs to be modulated by the maximum power;
when | ACE |)>|ACE|emergencyDuring the time, the value of ACE is in the scope of urgent regulatory region, and energy storage and traditional unit have been unable to satisfy the frequency modulation demand again this moment, and the energy storage is exerted oneself and is 0.
The method can effectively describe uncertainty description of wind power and photovoltaic disturbance on regional tie line power and frequency deviation, can realize AGC control under wind and light continuous random disturbance, and is more in line with system reality than the traditional deterministic ACE, and in addition, the AGC frequency modulation strategy of the method can achieve effective auxiliary frequency modulation effect.
Example 2
The embodiment provides an automatic power generation control device comprising a wind-solar power system, which comprises:
the partitioning module is used for dividing the energy storage action interval into a dead zone, a normal regulation zone, a secondary emergency regulation zone and an emergency regulation zone according to the calculated random area control deviation ACE;
a first judgment module used for counting the air when | ACE | is less than or equal to 0 | < ACE |)deadWhen the ACE value is in the dead zone range, the system is less disturbed, the energy storage does not act, namely the energy storage output is 0;
a second judging module for judging whether the ACE is the dominant raydead<|ACE|≤|ACE|regularWhen the ACE value is in the range of the normal regulation area, the energy storage distributes the frequency modulation signal requirement to the energy storage according to the set proportion for bearing;
a third judgment module for calculating the current moment of ACEregular<|ACE|≤|ACE|emergencyWhen the system is in a secondary emergency regulation area, the value of ACE is within the range of the secondary emergency regulation area, the traditional unit cannot meet the requirement of system frequency modulation, and the stored energy is used for carrying out frequency modulation at the maximum power;
a fourth judgment module for calculating the current amount of ACE>|ACE|emergencyIn time, the value of ACE is in the scope of urgent regulatory region, and the energy storage can no longer satisfy the frequency modulation demand with traditional unit, and the energy storage is exerted oneself and is 0.
Optionally, the embodiment further includes a random area control deviation ACE calculation module, configured to:
simulating wind speed and illumination intensity through weibull distribution and beta distribution to further obtain a wind and light random output model;
establishing a randomness model of control deviation of a region containing a wind-solar power system, namely:
wherein the content of the first and second substances,
it is shown that the frequency of the fluctuations,
representing the link power fluctuation and B is the frequency deviation factor.
Optionally, the embodiment further includes an energy storage output model building module, configured to:
the energy storage output random model is established as follows:
wherein, Δ PBESSFor energy-storage output, TBESSAnd t is the time of the energy storage output response time constant.
Please refer to embodiment 1 for a specific implementation of this embodiment.
In light of the foregoing description of the preferred embodiments according to the present application, it is to be understood that various changes and modifications may be made without departing from the spirit and scope of the invention. The technical scope of the present application is not limited to the contents of the specification, and must be determined according to the scope of the claims.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Claims (7)
1. An automatic power generation control method for a wind and light-containing power system is characterized by comprising the following steps:
according to the calculated random area control deviation ACE, dividing the energy storage output into zones, namely a dead zone, a normal regulation zone, a secondary emergency regulation zone and an emergency regulation zone;
when 0 ≦ ACE|≤|ACE|deadWhen the ACE circuit is used, the value of the ACE is judged to be in a dead zone range, the system is slightly disturbed, the energy storage does not act, namely the energy storage output is 0, | ACE memorydeadRepresents a dead band limit;
when | ACE |)dead<|ACE|≤|ACE|regularWhen the ACE value is determined to be in the range of the normal adjusting area, the energy storage allocates the frequency modulation signal requirement to the energy storage according to the set proportion to bear, | ACE memoryregularIndicating a normal regulatory region boundary;
when | ACE |)regular<|ACE|≤|ACE|emergencyWhen the system is used, the ACE value is judged to be in the range of the secondary emergency adjusting area, the traditional unit can not meet the requirement of system frequency modulation, the stored energy is used for carrying out frequency modulation with the maximum power, | ACE | airemergencyRepresenting a secondary emergency regulatory region boundary;
when | ACE |)>|ACE|emergencyAnd when the ACE value is determined to be in the range of the emergency adjusting area, the energy storage and the traditional unit can not meet the frequency modulation requirement any more, and the energy storage output is 0.
2. The automatic power generation control method of the wind-solar-containing power system according to claim 1, wherein the calculation method of the stochastic zone control deviation ACE is as follows:
simulating wind speed and illumination intensity through weibull distribution and beta distribution to further obtain a wind and light random output model;
establishing a randomness model of control deviation of a region containing a wind-solar power system, namely:
wherein the content of the first and second substances,
it is shown that the frequency of the fluctuations,
representing the link power fluctuation and B is the frequency deviation factor.
3. The automated power generation control method of the wind-solar-containing power system of claim 2, further comprising the step of establishing a stochastic model of stored energy output, specifically:
wherein, Δ PBESSForce is exerted for energy storage; t isBESSAnd t represents time for the energy storage output response time constant.
4. The automated power generation control system of claim 3, wherein when the value of ACE is within the range of the normal regulation zone, the stored energy output is as follows:
wherein k is a control coefficient and takes a value of 0.3-0.4.
5. An automatic power generation control device including a wind-solar power system, comprising:
the partitioning module is used for partitioning the energy storage output according to the calculated random area control deviation ACE, namely a dead zone, a normal regulation zone, a secondary emergency regulation zone and an emergency regulation zone;
a first judgment module used for counting the air when | ACE | is less than or equal to 0 | < ACE |)deadWhen the ACE value is in the dead zone range, the system is less disturbed, the energy storage does not act, namely the energy storage output is 0, | ACE | calculation of the luminancedeadRepresents a dead band limit;
a second judging module for judging whether the ACE is the dominant raydead<|ACE|≤|ACE|regularWhen the ACE value is in the range of the normal regulation area, the energy storage distributes the frequency modulation signal demand to the energy storage according to the set proportion to bear, | ACE shadingregularIndicating a normal regulatory region boundary;
a third judging module for judging if | ACE|regular<|ACE|≤|ACE|emergencyWhen the system is used, the value of ACE is in the range of a secondary emergency adjusting area, the traditional unit can not meet the requirement of system frequency modulation, the stored energy is used for carrying out frequency modulation with the maximum power, | ACE | air countemergencyRepresenting a secondary emergency regulatory region boundary;
a fourth judgment module for calculating the current amount of ACE>|ACE|emergencyIn time, the value of ACE is in the scope of urgent regulatory region, and the energy storage can no longer satisfy the frequency modulation demand with traditional unit, and the energy storage is exerted oneself and is 0.
6. The automated wind-solar power system generation control apparatus of claim 5, further comprising a stochastic zone control deviation, ACE, calculation module for:
simulating wind speed and illumination intensity through weibull distribution and beta distribution to further obtain a wind and light random output model;
establishing a randomness model of control deviation of a region containing a wind-solar power system, namely:
wherein the content of the first and second substances,
it is shown that the frequency of the fluctuations,
representing the link power fluctuation and B is the frequency deviation factor.
7. The automatic power generation control device comprising a wind and photovoltaic power system according to claim 5, further comprising an energy storage output model building module configured to:
the energy storage output random model is established as follows:
wherein, Δ PBESSForce is exerted for energy storage; t isBESSThe energy storage output response time constant; t represents time.
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