CN114123357B - Wind farm AGC power optimization control method - Google Patents
Wind farm AGC power optimization control method Download PDFInfo
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- CN114123357B CN114123357B CN202111408544.8A CN202111408544A CN114123357B CN 114123357 B CN114123357 B CN 114123357B CN 202111408544 A CN202111408544 A CN 202111408544A CN 114123357 B CN114123357 B CN 114123357B
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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
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
- H02J3/48—Controlling the sharing of the in-phase component
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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
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/381—Dispersed generators
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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
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
- H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
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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
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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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
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/28—The renewable source being wind energy
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- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/76—Power conversion electric or electronic aspects
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- Power Engineering (AREA)
- Control Of Eletrric Generators (AREA)
Abstract
The invention discloses a wind farm AGC power optimization control method, which comprises the following steps: and acquiring real-time operation data of the unit, counting the controllable unit power, and calculating the number of the unit needing to be controlled according to the set value of the scheduling power. According to the number of the current controlled operation units, the historical total power generation time of the units is evaluated, the fatigue coefficients of the units are finally determined, the units are stopped, the power optimal distribution among the units is realized, and the fatigue load among the units is balanced; calculating the full-field power deviation, optimally distributing the full-field power deviation among the controlled operation units according to the power of the controlled units, and finally performing PI (proportion integration) adjustment on the unit power deviation to finally realize closed-loop control of the full-field power.
Description
Technical Field
The invention belongs to the technical field of power control of a new energy electric field power system, and particularly relates to an AGC power optimization control method for a wind power plant.
Background
The wind power grid-connected capacity is increased by one hundred times in ten years, and the photovoltaic power is increased by one hundred times in five years. The power system characteristics of the new energy electric field are very important for the stable operation of the power grid.
The current wind power or photovoltaic full-field power control is controlled by a dispatching master station, dispatching instructions are issued by an AGC master station, and a wind power plant AGC substation performs full-field power control. There are a number of problems with current conventional AGC substation power control. Such as no closed loop control or low closed loop control accuracy. The unit power allocation is not reasonable, such as average allocation among units or other simple allocation algorithms. The unit start-stop control is based on experience, and no specific optimized start-stop strategy exists. And the full-field power change rate does not meet the access requirement of the power system, and the problem of too high or too low speed exists. With the continuous increase of the installed capacity of new energy, the current traditional AGC substation control technology needs to be optimized and upgraded. There is a need for a higher closed loop control accuracy, more optimized unit power allocation strategy.
Disclosure of Invention
The invention aims to provide an AGC power optimization control method for a wind power plant. Based on the actual running state of the wind turbine and the full-farm power set value, start-stop control and power control of the wind turbine are realized, so that the actual active power of the grid-connected point of the wind farm meets the scheduling active power set requirement. Meanwhile, by combining historical power generation time factors of the units, fatigue loads among the units are balanced, and active power of the units is optimally distributed.
The invention is realized by adopting the following technical scheme:
the wind farm AGC power optimization control method comprises the following steps:
s1, acquiring real-time power of a public connection point of a wind power plant; acquiring a full-field power set value issued by scheduling; acquiring the running state, the actual active power, the real-time wind speed and the total power generation time of the unit; calculating a unit power curve, controlling the unit power, controlling the average power and the fatigue coefficient of the unit;
s2, calculating the number of the required controlled operation units according to the full-field power set value and the average power of the controlled units; the number of the needed controlled operation units and the actual controlled operation units are calculated in a comparison mode, and a start-stop remote control instruction of the controlled unit is obtained according to the fatigue coefficient of the units, wherein the start-stop remote control instruction is controlled operation or controlled stop;
s3, calculating full-field power deviation according to the full-field power set value and the real-time power of the public connection point; calculating the ratio of the power which can be sent by the controlled operation units according to the controlled state of each unit and the real-time wind speed, and distributing the total-field power deviation to each controlled operation unit according to the ratio, namely the power deviation of each controlled operation unit;
s4, PI regulation is carried out on the power deviation of the controlled operation unit, and finally, the upper limit and the lower limit of the power instruction of the unit are limited according to the parameter constraint of the power limit value of the unit, and finally, a power setting remote regulation instruction is obtained;
s5, sending a set start-stop remote control instruction and a power setting remote regulating instruction to each set of the wind farm through communication, and keeping the actual power of the grid-connected point PCC consistent with a full-farm power set value sent by the dispatching.
The invention is further improved in that the step S1 specifically comprises the following steps:
s11, acquiring an operation state S (i) and an actual active power P (i) of an ith unit, wherein the operation state of the unit is uncontrollable, controlled to stop, and controlled to operate, and calculating a power curve PC (i) of the ith unit according to the operation state S (i) and the actual active power P (i) of the unit;
s12, according to a power curve PC (i) of the unit, the active power P of the unit i at the current wind speed V (i) can be calculated avi (i) The current wind speed V (i) is between the nth and the (n+1) th points on the power curve, using two points [ n, PC (i, n) ]]，[n+1，PC(i，n+1)]The linear interpolation method obtains the active power P of the generator set avi (i)；
S13, machine set operation stateThe units in the state of controlled shutdown or controlled operation are all controlled units, and the power of the generator of the controlled unit j is P avi_c (j) Average power of all-field controlled unitsN c The total number of the actual controlled units;
s14, calculating the fatigue factor of the ith unit according to the total power generation time T (i) of the ith unit Σt (i) is the sum of the wind farm organic group generation times.
The invention is further improved in that the step S2 specifically includes:
setting P according to full field power set And average power P of the controlled unit avi_c_avg Calculating the number N of required controlled operation units cset ＝P set /P avi_c_avg And rounded up.
The invention is further improved in that the total number of the current actual controlled operation is N cAct Actual controlled running machine set number N cAct And calculating the number N of the controlled operation units required cset Deviation of N cErr＝ N cAct -N cset When N cErr When > 0, more stops are needed, N in controlled operation cErr The station becomes a controlled stop, the fatigue coefficient in the controlled operation is maximized cErr The remote control command of the start and stop of the station is changed from controlled operation to controlled stop; when N is cErr <At 0, more units are required to operate, and |N in controlled shutdown cErr I becomes the controlled operation, the front i N with the smallest fatigue coefficient in the controlled shutdown cErr The I platform start-stop remote control instruction is changed from controlled stop to controlled operation; when N is cErr When the control command is=0, the current unit start-stop remote control command is kept unchanged.
The invention further improves the machine set start-stop remote control instruction TC, when the machine set start-stop remote control instruction is controlled running, TC=1, and when the machine set start-stop remote control instruction is controlled stopping, TC=0.
The invention is further improved in that the step S3 specifically includes:
s31, according to the full-field power set value P set Real-time active power P of common connection point pcc Can calculate the full-field power deviation P err ，P err ＝P set -P pcc ；
S32, calculating the deviation of the ith controlled operation unit according to the full-field power deviation
The machine set number of the running state of the controlled running is k, the duty ratio of the power capable of being transmitted of the controlled running machine set k to the sum of the power capable of being transmitted of all the controlled running machine sets is calculated, and the full-field power deviation P is distributed according to the duty ratio err I.e. power deviation of the controlled operating unit k
The invention is further improved in that the step S4 specifically includes:
s41, according to the power deviation delta P (k) of the controlled operation unit, performing PI regulation on the power deviation of the controlled operation unit k, and calculating P through a PI regulator dmd_1 (k)；
S42, finally, according to the set upper limit value parameter P of the unit power max And a lower limit value parameter P min P pair P dmd_1 (k) Constraint, i.e. P dmd_2 (k)＝min(P dmd_1 (k)，P max )，P dmd (k)＝max(P dmd_2 (k)，P min )。
The invention is further improved in that the step S5 specifically includes:
remote control command TC (k) for running controlled unit and power limit value remote regulation command P dmd (k) Issued to the controlled machine set k so as to enable the real-time power P of the grid-connected point pcc Full-field power set point P issued by scheduling set And keep the same.
The invention has at least the following beneficial technical effects:
according to the wind farm AGC power optimization control method, real-time operation data of the units are obtained, the controllable unit power is counted, and the number of the units needing to be controlled is calculated according to a scheduling power set value. And according to the number of the current controlled operation units, the historical total power generation time of the units is evaluated, the fatigue coefficients of the units are finally determined, the units are stopped, the power optimal distribution among the units is realized, and the fatigue load among the units is balanced. And finally, PI regulation is carried out on the full-field power deviation, so that closed-loop control of the full-field power is realized, and the steady-state control precision is high.
Drawings
FIG. 1 is a flow chart of the method of the present invention.
FIG. 2 is a strategy block diagram of wind farm AGC power optimization control.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art. It should be noted that, without conflict, the embodiments of the present invention and features of the embodiments may be combined with each other. The invention will be described in detail below with reference to the drawings in connection with embodiments.
The invention provides a wind farm AGC power optimization control method, which comprises the following specific implementation steps:
s1, acquiring real-time power P of public connection points of wind power plants pcc The method comprises the steps of carrying out a first treatment on the surface of the Acquiring a full-field power set value P issued by scheduling set The method comprises the steps of carrying out a first treatment on the surface of the Acquiring the running state S, the actual power P, the real-time wind speed V and the total power generation time T of the unit; computer unit power curve PC, unit power P avi Average power P of controlled unit avi_c_avg Fatigue coefficient F of machine set a ；
S2, according to the full-field power set value P set And average power P of the controlled unit avi_c_avg Calculating the number N of required controlled operation units cset The method comprises the steps of carrying out a first treatment on the surface of the The controlled operation unit number N needed by comparison calculation cset And the actual controlled running unit number N cAct According to the fatigue coefficient F of the machine set a And obtaining a start-stop remote control command TC of the controlled unit. The start-stop remote control instruction is controlled running or controlled stopping.
S3, according to the full-field power set value P set Public connection point real-time power P pcc Calculating full field power deviation P err The method comprises the steps of carrying out a first treatment on the surface of the According to the controlled state S of each unit, the real-time wind speed V of the controlled unit calculates the ratio of the power which can be sent by the controlled operation unit, and distributes the whole-field power deviation to each controlled operation unit according to the ratio, namely the power deviation delta P of each controlled operation unit.
S4, PI regulation is carried out on the power deviation of the controlled operation unit, finally, the upper limit and the lower limit of the power instruction of the unit are limited according to the unit power limit value parameter constraint, and finally, the power setting remote regulation instruction P is obtained dmd 。
S5, a set start-stop remote control command TC and a power setting remote adjustment command P are carried out dmd And the real-time power of the PCC is consistent with the set value of the full-field power issued by the dispatching.
2. The step S1 of the present invention specifically includes:
s11, acquiring an operation state S (i) of an ith unit and actual active power P (i), wherein the operation state of the unit is uncontrollable, controlled to stop and controlled to operate. And calculating a power curve PC (i) of the ith unit according to the unit running state S (i) and the sampled actual active power P (i). The specific calculation method of the power curve PC (i) comprises the following steps: the wind speed section is from 0 to the cut-out wind speed V out And a wind speed point is taken every 0.25m/s interval. The wind speed value corresponding to the kth wind speed point is V k =0.25×k. Power curve value of kth wind speed point of ith unitWherein Sigma P (i, k) is the sum of the sampled actual active power of the kth wind speed point of the ith unit, and Sigma N (i, k) is the sample of the kth wind speed point of the ith unitIs a total point of (c) for the number of points.
S12, according to a power curve PC (i) of the unit, the active power P of the unit i at the current wind speed V (i) can be calculated avi (i) The current wind speed V (i) may be two points [ n, PC (i, n) ] between the nth and the (n+1) th points on the power curve]，[n+1，PC(i，n+1)]The linear interpolation method obtains the active power P of the generator set avi (i)。
S13, uniformly defining the machine set with the machine set running state of controlled shutdown or controlled operation as a controlled machine set, wherein the power of the controlled machine set j is P avi_c (j) Average power of all-field controlled units N c Is the total number of the actual controlled units.
S14, calculating the fatigue factor of the ith unit according to the total power generation time T (i) of the ith unit Σt (i) is the sum of the wind farm organic group generation times.
3. The step S2 of the present invention specifically includes:
s21, according to the full-field power set value P set And average power P of the controlled unit avi_c_avg Calculating the number N of required controlled operation units cset ＝P set /P avi_c_avg And rounded up.
S22, the total number of the current actual controlled operation is N cAct Actual controlled running machine set number N cAct And calculating the number N of the controlled operation units required cset Deviation of N cErr＝ N cAct- N cset When N cErr When > 0, more stops are needed, N in controlled operation cErr The station being turned into a controlled stop, operating under controlFront N with maximum fatigue coefficient cErr The remote control command of the station start-stop mode is changed from controlled operation to controlled stop. When N is cErr <At 0, more units are required to operate, and |N in controlled shutdown cErr First N, which is the smallest fatigue coefficient in controlled shutdown, is changed to controlled operation cErr The remote control command of the start and stop of the station is changed from controlled stop to controlled operation. When N is cErr When the control command is=0, the current unit start-stop remote control command is kept unchanged. And when the unit start-stop remote control instruction is controlled stop, TC=0.
4. The step S3 of the present invention specifically includes:
s31, according to the full-field power set value P set Real-time active power P of common connection point pcc Can calculate the full-field power deviation P err ，P err ＝P set -P pcc 。
S32, calculating the deviation of the ith controlled operation unit according to the full-field power deviation.
The running state is controlled running unit number k, and the total field power deviation P is distributed according to the ratio of the sum of the power of each controlled running unit k and the power of Pavi_cr (k) err I.e. power deviation of the controlled operating unit k
5. The step S4 of the present invention specifically includes:
s41, according to the power deviation delta P (k) of the controlled operation unit, performing PI regulation on the power deviation of the controlled operation unit k, and calculating P through a PI regulator dmd_1 (k)。
P dmd_1 (k)＝K p ΔP(k)+K i ΔP(k)
K in the formula p Is proportional gain, K i Is the integral gain.
S42, finally, according to the set upper limit value parameter P of the unit power max And a lower limit value parameter P min P pair P dmd_1 (k) Constraint, i.e.P dmd_2 (k)＝min(P dmd_1 (k)，P max )，P dmd (k)＝max(P dmd_2 (k)，P min )，
6. The step S5 of the present invention specifically includes:
finally, the controlled unit operation remote control command TC (k) and the power limit remote control command P are controlled dmd (k) Issued to the controlled machine set k so as to enable the real-time power P of the grid-connected point pcc Full-field power set point P issued by scheduling set And keep the same.
Specific examples are as follows:
s11, 6 fans are used in the wind power plant to obtain grid-connected point power P of the wind power plant pcc =9mw, schedule issue power setting instruction P set The operation states of 6 units are obtained in the mode of (1) =1, S (2) =1, S (3) =1, S (4) =1, S (5) =1, S (6) =1, and are controlled operation. And the running state of the 0 units is controlled shutdown. The actual power of the unit is P (1) =1.4, P (1) =1.5, P (1) =1.6, and unit MW, respectively. Real-time wind speed V (1) =10.5, V (2) =10.5, V (3) =11.5, V (4) =11.5, V (5) =12.5, in m/s for the unit. Total power generation time T (1) =80000, T (2) =90000, T (3) =100000, T (4) =110000, T (5) =120000, T (6) =130000, unit h.
S12, calculating power curves of 6 units respectively as PC (i) according to sampling statistics of wind speed and unit power. Then according to the actual wind speed and power curve of 6 units, calculating the power of 6 units as P avi (1)＝1.5，P avi (2)＝1.5，P avi (3)＝1.6，P avi (4)＝1.6，P avi (5)＝1.7，P avi (6) =1.7, unit MW.
S13, calculating the average power of the controlled unit, unit MW.
S14According to the total power generation time T (i) of each unit, the fatigue factor of the unit is calculatedF a (1)＝T(1)/(T(1)+T(2)+T(3)+T(4)+T(5))＝0.1269.F a (2)＝＝0.1428,F a (3)＝0.1587，F a (4)＝0.1746，F a (5)＝0.1904，F a (6)＝0.2063。
S21, calculating the number N of the controlled operation units required cset ＝P set /P avi_c_avg ，N cset =6/1.6=3.75, rounded up, so N cset =4 pieces
S22, 6 current controlled operation stations are needed to be controlled, 4 controlled operation stations are needed to be controlled, 2 controlled stopping stations are needed, and according to the fatigue factors, the first 2 stations with the largest fatigue factors of the units 5 and 6 are needed to be controlled, so that the start-stop remote control instructions of the units 5 and 6 are controlled stopping stations, namely TC=0. The start-stop remote control instructions of the units 1, 2, 3 and 4 are controlled operation, and TC=1.
And S31, after the controlled shutdown of the units 5 and 6, the actual power of the wind field is 1.4+1.4+1.5+1.5=5.8 MW. At this time, full field power deviation P err ＝P set -P pcc ＝5.8–6.4＝-0.6MW。
S32, distributing full-field power deviation to each unit according to the power which can be sent,Δp (1) = (-0.6) 1.5/(1.5+1.5+1.6+1.6) = -0.145MW, Δp (2) = -0.145MW, Δp (3) = -0.155MW, Δp (4) = -0.155MW are calculated in sequence
S41, performing deviation PI regulation on the units 1, 2, 3 and 4, limiting amplitude of the PI regulation output value, taking the maximum value as 2 and the minimum value as 0, and then remotely regulating the power of the units 1, 2, 3 and 4 to obtain a command P dmd (k) And issuing to a unit. The actual P (1) =1.5, P (2) =1.5, P (3) =1.6, P (4) =1.6, unit MW of the units 1, 2, 3, 4 are adjusted over a plurality of control cycles. Final wind farm actual active P cc Setting active P with scheduling set And keep the same.
While the invention has been described in detail in the foregoing general description and with reference to specific embodiments thereof, it will be apparent to one skilled in the art that modifications and improvements can be made thereto. Accordingly, such modifications or improvements may be made without departing from the spirit of the invention and are intended to be within the scope of the invention as claimed.
Claims (8)
1. The wind farm AGC power optimization control method is characterized by comprising the following steps:
s1, acquiring real-time power of a public connection point of a wind power plant; acquiring a full-field power set value issued by scheduling; acquiring the running state, the actual active power, the real-time wind speed and the total power generation time of the unit; calculating a unit power curve, controlling the unit power, controlling the average power and the fatigue coefficient of the unit;
s2, calculating the number of the required controlled operation units according to the full-field power set value and the average power of the controlled units; the number of the needed controlled operation units and the actual controlled operation units are calculated in a comparison mode, and a start-stop remote control instruction of the controlled unit is obtained according to the fatigue coefficient of the units, wherein the start-stop remote control instruction is controlled operation or controlled stop;
s3, calculating full-field power deviation according to the full-field power set value and the real-time power of the public connection point; calculating the ratio of the power which can be sent by the controlled operation units according to the controlled state of each unit and the real-time wind speed, and distributing the total-field power deviation to each controlled operation unit according to the ratio, namely the power deviation of each controlled operation unit;
s4, PI regulation is carried out on the power deviation of the controlled operation unit, and finally, the upper limit and the lower limit of the power instruction of the unit are limited according to the parameter constraint of the power limit value of the unit, and finally, a power setting remote regulation instruction is obtained;
s5, sending a set start-stop remote control instruction and a power setting remote regulating instruction to each set of the wind farm through communication, and keeping the actual power of the grid-connected point PCC consistent with a full-farm power set value sent by the dispatching.
2. The method for optimizing and controlling AGC power of a wind farm according to claim 1, wherein the step S1 specifically includes:
s11, acquiring an operation state S (i) and an actual active power P (i) of an ith unit, wherein the operation state of the unit is uncontrollable, controlled to stop, and controlled to operate, and calculating a power curve PC (i) of the ith unit according to the operation state S (i) and the actual active power P (i) of the unit;
s12, according to a power curve PC (i) of the unit, the active power P of the unit i at the current wind speed V (i) can be calculated avi (i) The current wind speed V (i) is between the nth and the (n+1) th points on the power curve, using two points [ n, PC (i, n) ]]，[n+1，PC(i，n+1)]The linear interpolation method obtains the active power P of the generator set avi (i)；
S13, the machine sets with the machine set running state of controlled shutdown or controlled running are all controlled machine sets, and the power of the controlled machine set j is P avi_c (j) Average power of all-field controlled unitsN c The total number of the actual controlled units;
s14, calculating the fatigue factor of the ith unit according to the total power generation time T (i) of the ith unit Σt (i) is the sum of the wind farm organic group generation times.
3. The method for optimizing and controlling AGC power of a wind farm according to claim 2, wherein the step S2 specifically includes:
setting P according to full field power set And average power P of the controlled unit avi_c_avg Calculating the number N of required controlled operation units cset ＝P set /P avi_c_avg And rounded up.
4. A wind farm AGC power optimization control method according to claim 3, wherein the total number of current actual controlled operations is N cAct Actual controlled running machine set number N cAct And calculating the number N of the controlled operation units required cset Deviation of N cErr＝ N cAct- N cset When N cErr When > 0, more stops are needed, N in controlled operation cErr The station becomes a controlled stop, the fatigue coefficient in the controlled operation is maximized cErr The remote control command of the start and stop of the station is changed from controlled operation to controlled stop; when N is cErr <At 0, more units are required to operate, and |N in controlled shutdown cErr I becomes the controlled operation, the front i N with the smallest fatigue coefficient in the controlled shutdown cErr The I platform start-stop remote control instruction is changed from controlled stop to controlled operation; when N is cErr When the control command is=0, the current unit start-stop remote control command is kept unchanged.
5. The method for optimizing and controlling AGC power of a wind farm according to claim 4, wherein the set start-stop remote control command TC is TC=1 when the set start-stop remote control command is controlled operation, and TC=0 when the set start-stop remote control command is controlled stop.
6. The method for optimizing and controlling AGC power of a wind farm according to claim 3, wherein the step S3 specifically includes:
s31, according to the full-field power set value P set Real-time active power P of common connection point pcc Can calculate the full-field power deviation P err ，P err ＝P set -P pcc ；
S32, calculating the deviation of the ith controlled operation unit according to the full-field power deviation
The machine set number of the running state of the controlled running is k, the duty ratio of the power capable of being transmitted of the controlled running machine set k to the sum of the power capable of being transmitted of all the controlled running machine sets is calculated, and the full-field power deviation P is distributed according to the duty ratio err I.e. power deviation of the controlled operating unit k
7. The method for optimizing and controlling AGC power of a wind farm according to claim 6, wherein the step S4 specifically includes:
s41, according to the power deviation delta P (k) of the controlled operation unit, performing PI regulation on the power deviation of the controlled operation unit k, and calculating P through a PI regulator dmd_1 (k)；
S42, finally, according to the set upper limit value parameter P of the unit power max And a lower limit value parameter P min P pair P dmd_1 (k) Constraint, i.e. P dmd_2 (k)＝min(P dmd_1 (k)，P max )，P dmd (k)＝max(P dmd_2 (k)，P min )，P dmd (k) A remote command is set for the power.
8. The method for optimizing and controlling AGC power of a wind farm according to claim 7, wherein the step S5 specifically includes:
remote control instruction TC (k) for starting and stopping unit and power setting remote regulation instruction P dmd (k) Issued to the controlled machine set k so as to enable the real-time power P of the grid-connected point pcc Full-field power set point P issued by scheduling set And keep the same.
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Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102013699A (en) * | 2010-10-25 | 2011-04-13 | 电子科技大学 | Method for distributing active power of wind power station |
| CN102400855A (en) * | 2011-11-16 | 2012-04-04 | 北京金风科创风电设备有限公司 | Power adjusting method and device in wind farm |
| CN202696272U (en) * | 2012-04-02 | 2013-01-23 | 安徽立卓智能电网科技有限公司 | Wind power farm operation concentrated monitoring system |
| CN103199562A (en) * | 2013-04-08 | 2013-07-10 | 国电南瑞南京控制系统有限公司 | Wind power station active power control method |
| WO2013174090A1 (en) * | 2012-05-22 | 2013-11-28 | 中国电力科学研究院 | Wind farm active power controlling method for improving the generating efficiency of the wind farm |
| CN104794576A (en) * | 2015-04-21 | 2015-07-22 | 清华大学 | Active power distribution coordination method of units in wind power plant |
| CN105515061A (en) * | 2016-01-25 | 2016-04-20 | 云南电网有限责任公司电力科学研究院 | Method and system for active power control of wind turbines |
| CN107749644A (en) * | 2017-11-29 | 2018-03-02 | 国电联合动力技术有限公司 | A kind of wind power plant participates in the intelligent control method and its control system of primary frequency modulation |
| CN108306312A (en) * | 2018-03-01 | 2018-07-20 | 科诺伟业风能设备（北京）有限公司 | A kind of wind power plant primary frequency modulation control method |
| CN108631362A (en) * | 2018-05-11 | 2018-10-09 | 北京中宜天成科技有限公司 | A kind of wind power control method |
| CN110676872A (en) * | 2019-09-05 | 2020-01-10 | 沈阳工业大学 | Wind power plant active power distribution method considering fatigue load of unit |
| CN111146806A (en) * | 2020-01-03 | 2020-05-12 | 国电联合动力技术有限公司 | Active available output dynamic calculation optimization method for wind power plant and energy management platform |
| CN112234616A (en) * | 2020-10-13 | 2021-01-15 | 青岛百恒新能源技术有限公司 | Wind power plant active power optimal distribution control method |
| EP3779180A1 (en) * | 2019-08-14 | 2021-02-17 | Siemens Gamesa Renewable Energy A/S | Controlling a wind farm with wind turbines that are damping tower oscillations |
| CN113659630A (en) * | 2021-07-26 | 2021-11-16 | 明阳智慧能源集团股份公司 | Wind power plant power optimization scheduling method and system based on fatigue damage value estimation |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2354541B1 (en) * | 2010-01-20 | 2014-09-17 | Siemens Aktiengesellschaft | Wind farm power control based on matrix reflecting a power load distribution between individual wind turbines |
| CN108336761B (en) * | 2018-04-03 | 2019-04-02 | 北京金风科创风电设备有限公司 | Power control method, device and system for wind power plant and computer equipment |
-
2021
- 2021-11-24 CN CN202111408544.8A patent/CN114123357B/en active Active
Patent Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102013699A (en) * | 2010-10-25 | 2011-04-13 | 电子科技大学 | Method for distributing active power of wind power station |
| CN102400855A (en) * | 2011-11-16 | 2012-04-04 | 北京金风科创风电设备有限公司 | Power adjusting method and device in wind farm |
| CN202696272U (en) * | 2012-04-02 | 2013-01-23 | 安徽立卓智能电网科技有限公司 | Wind power farm operation concentrated monitoring system |
| WO2013174090A1 (en) * | 2012-05-22 | 2013-11-28 | 中国电力科学研究院 | Wind farm active power controlling method for improving the generating efficiency of the wind farm |
| CN103199562A (en) * | 2013-04-08 | 2013-07-10 | 国电南瑞南京控制系统有限公司 | Wind power station active power control method |
| CN104794576A (en) * | 2015-04-21 | 2015-07-22 | 清华大学 | Active power distribution coordination method of units in wind power plant |
| CN105515061A (en) * | 2016-01-25 | 2016-04-20 | 云南电网有限责任公司电力科学研究院 | Method and system for active power control of wind turbines |
| CN107749644A (en) * | 2017-11-29 | 2018-03-02 | 国电联合动力技术有限公司 | A kind of wind power plant participates in the intelligent control method and its control system of primary frequency modulation |
| CN108306312A (en) * | 2018-03-01 | 2018-07-20 | 科诺伟业风能设备（北京）有限公司 | A kind of wind power plant primary frequency modulation control method |
| CN108631362A (en) * | 2018-05-11 | 2018-10-09 | 北京中宜天成科技有限公司 | A kind of wind power control method |
| EP3779180A1 (en) * | 2019-08-14 | 2021-02-17 | Siemens Gamesa Renewable Energy A/S | Controlling a wind farm with wind turbines that are damping tower oscillations |
| CN110676872A (en) * | 2019-09-05 | 2020-01-10 | 沈阳工业大学 | Wind power plant active power distribution method considering fatigue load of unit |
| CN111146806A (en) * | 2020-01-03 | 2020-05-12 | 国电联合动力技术有限公司 | Active available output dynamic calculation optimization method for wind power plant and energy management platform |
| CN112234616A (en) * | 2020-10-13 | 2021-01-15 | 青岛百恒新能源技术有限公司 | Wind power plant active power optimal distribution control method |
| CN113659630A (en) * | 2021-07-26 | 2021-11-16 | 明阳智慧能源集团股份公司 | Wind power plant power optimization scheduling method and system based on fatigue damage value estimation |
Non-Patent Citations (1)
| Title |
|---|
| 风电场有功功率控制降功率优化算法;邹见效等;《电子科技大学学报》;全文 * |
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