CN102957144A - Method for modeling automatic power generating control model in power system simulation - Google Patents

Method for modeling automatic power generating control model in power system simulation Download PDF

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CN102957144A
CN102957144A CN2012103483160A CN201210348316A CN102957144A CN 102957144 A CN102957144 A CN 102957144A CN 2012103483160 A CN2012103483160 A CN 2012103483160A CN 201210348316 A CN201210348316 A CN 201210348316A CN 102957144 A CN102957144 A CN 102957144A
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power
control
ace
frequency
interconnection
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CN102957144B (en
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仲悟之
宋新立
汤涌
卜广全
吴国旸
刘涛
叶小晖
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State Grid Corp of China SGCC
China Electric Power Research Institute Co Ltd CEPRI
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State Grid Corp of China SGCC
China Electric Power Research Institute Co Ltd CEPRI
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Abstract

The invention discloses a method for modeling an automatic power generating control model in power system stimulation, which models an automatic power generating control system by considering the control mode and the control performance evaluation standards in the automatic power generating control and the algorithm characteristics of power system stimulation. Meanwhile the invention discloses a method for implementing an automatic power control model in power system stimulation. The model can stimulate the three modes of constant-frequency control, constant-exchange power control and tie-line power and frequency deviation control in automatic power generating control, and simultaneously achieves the three control performance evaluation standards of A1/A2, CPS1/CPS2 and T of automatic power generating control; regions adopt different control strategies according to different region control performance evaluation standards, so that the model can analyze the influence of automatic power generating control in the long-term dynamic stimulation in a power system, and the requirement of the simulation of of the whole process of electromechanical transient and electromechanical medium and long-term dynamic state of the power system are met.

Description

The modeling method of automatic generation control model in a kind of electric system simulation
Technical field
The present invention relates to field of power, be specifically related to the modeling method of automatic generation control model in a kind of electric system simulation.
Background technology
Along with the raising that interconnected network construction development and control require, each regional power grid has all actively used AGC to carry out the automatic control of electrical network, optimizes the running quality of electrical network, alleviates dispatcher's operating pressure.
At present, the AGC system is mainly used in the management and running control of provincial and above electrical network in State Grid Corporation of China, comprise that nearly 30 control centres that state's accent, network regulation and province transfer have possessed the AGC system.The producer that the AGC system is provided mainly is Beijing Ke Dong company and Nan Rui scientific ﹠ technical corporation, and the principle of two AGC of company products is identical, and function is close.
The platform that adopts comprises CC2000A platform, OPEN3000 platform and D5000 platform, and along with the popularization of D5000 platform, the AGC system of each producer all progressively turned to the D5000 platform in recent years.
The control criterion that adopts comprises A1/A2 standard and CPS 1/CPS2 standard, and from development trend, the CPS1/CPS2 standard will progressively replace the A1/A2 standard.Because the needs that China extra-high voltage grid is built, domestic the control that the T standard is used for important interconnection proposed also, its feasibility waits the actual motion checking.
Automatic generation control is to be based upon on the basis of EMS (Energy Management System, EMS) and generator group coordination and control system, realizes a kind of advanced person's of closed-loop control modern power network control device.This system is according to A1/A2 standard and CPS1/CPS2 standard or T standard, generation schedule is suitably adjusted, active power by generating set in the control compass of competency is come regulating system frequency and interregional Tie line Power, guarantees the operation of electrical network with stabilizing the economy.
The basic task of AGC is to realize following target, comprising:
(1) FREQUENCY CONTROL.The change at random of response power load and generated output, keeping mains frequency is within 50Hz ± 0.1Hz scope, the accumulated error of frequency is also within limits value simultaneously;
(2) interconnection control.Generated output in each region allocation system, keeping interregional exchange power is planned value, realizes the balance of the interior active power in each zone and load power;
(3) optimize operation.In the situation that satisfy power system security constraints condition, mains frequency and externally clean exchange power be planned value, coordinate to participate in the exerting oneself by the operation of Optimum Economic distribution principle of power plant (unit) of remote regulating, make electrical network obtain maximum benefit.
The full dynamic simulation program can have good simulated effect to electric power system electromechanical transient and long term dynamics, in the full dynamic simulation program, automatic electricity generation control system is carried out detailed modeling, both can reflect that it was on the impact of transient process, can reflect again the impact of its centering long process, modeling work tool is of great significance.And in scale-model investigation in the past, the simplified model of AGC research is more, can not satisfy electric power system from second level to the whole process simulation requirement of minute level even hour level.The present invention mainly carries out detailed modeling to the AGC model, set up simultaneously the control of constant frequency rate, permanent exchange power control, interconnection power and three kinds of control models of frequency bias control, realized simultaneously three kinds of control performance assessment criterias of A1/A2, CPS1/CPS2, T of automatic generation control, the present invention is very necessary to research electric power system long term dynamics characteristic.
Summary of the invention
For the deficiencies in the prior art, the invention provides the modeling method of automatic generation control model in a kind of electric system simulation, can consider easily the impact in the long term dynamics, simulate automatic generation control pattern and evaluation criterion, be applicable to the whole process simulation of electric power system electromechanical transient and long term dynamics.
The modeling method of automatic generation control model is carried out modeling to automatic electricity generation control system in a kind of electric system simulation provided by the invention, and its improvements are, described method comprises the steps:
(1): the automatic generation control model is pressed the variable origin classification, comprise network side model and unit side form type;
(2): described network side model is according to any one or two of control model sampling system actual frequency f and interconnection power P;
(3): if sampling actual frequency f judges described actual frequency f and standard frequency f 0Difference DELTA f whether cross the border, if then suspend automatic electricity generation control system and return step (2), otherwise calculate the actual frequency power ACE corresponding with the difference of standard frequency 1If sampling interconnection power P is judged described interconnection power P and power target value P 0Difference DELTA P whether out-of-limit, if then suspend automatic electricity generation control system and return step (2), otherwise judged whether the interconnection power planning, then make difference power ACE if having 2Equal the poor of interconnection actual power and interconnection plan power, if then do not make ACE 2Equal described interconnection power P and power target value P 0Difference DELTA P;
(4): calculate total Region control deviation ACE;
(5): carry out index according to different Region control Performance evaluation criterion and calculate, corresponding control strategy is estimated and adopted to result of calculation;
(6): the unit quantity that can regulate in the statistical regions is issued to automatic-generation-control unit side form type with the ACE signal;
(7): automatic-generation-control unit side form type calculates according to certain principle, realizes load economical distribution between unit;
(8): judge whether the regulating power in the unit ACE signal is out-of-limit, if out-of-limitly then described regulating power is limited in given maximum, out-of-limitly then do not bear the regulating power pattern according to the interval different PLC of employing of different state of a controls if having;
(9): according to unit output pace of change upper lower limit value restriction unit output pace of change;
(10): the unit output pace of change is issued machine unit speed regulating device carry out;
(11): return step (2) and sample next time.
Wherein, step (1) classify finish after, calculate the time between current time and the last control constantly, if less than the described control time interval under the normal control model, then skip this sampled point and wait for next time sampling (needing equally the time of judging whether to cross the control time interval when next time sampling); If more than or equal to the control time interval under the normal control model, then carry out step (2).
Wherein, step (2) determines that described network side model is as follows according to any one or two s' of control model sampling system actual frequency f and interconnection power P step:
1.: constant frequency rate control model CFC, sampling system actual frequency;
2.: permanent exchange power control pattern CNIC, sampling interconnection power;
3.: interconnection power and frequency bias control pattern TBC, simultaneously sampling system actual frequency and interconnection power;
Wherein, the described calculating actual frequency of step (3) the power ACE corresponding with the difference of standard frequency 1Expression formula be:
ACE 1＝Δf×BIASK
In the formula, Δ f is the difference of actual frequency and target frequency, and BIASK is the frequency departure coefficient.
Wherein, definite method of described frequency departure coefficient B IASK comprises:
1.: the fixed coefficient method, namely can adopt fixing value, the annual setting once set according to the percentage of the highest forecast demand in year; Or
2.: dynamic coefficient method, namely adopt linear or nonlinear variable parameter is set, this parameter is determined by the analysis to the frequency response characteristic of the factors vary such as load, generating set power, governing system characteristic and frequency.
Wherein, step (4) is calculated the expression formula of total Region control deviation ACE and is:
ACE=ACE 1+ACE 2
In the formula, ACE 1Be power deviation corresponding to frequency departure; ACE 2Be difference power.
Wherein, the described Region control Performance evaluation criterion of step (5) comprises three kinds of standards:
1. A1/A2 evaluation criterion; 2. CPS1/CPS2 evaluation criterion; 3. T evaluation criterion.
Wherein, in the step (7), the scale factor that regulating power in the ACE signal is distributed is the weighted average of artificial set point and PLC regulations speed, artificial set point or PLC regulations speed, calculates after the scale factor normalized of pro rate coefficient by each PLC.
Wherein, in the step (7), the economic allocation coefficient that the regulating power in the ACE signal is distributed and little gaining rate of unit are inversely proportional to, and are provided by on-line economic dispatch.
Wherein, in the step (7), the regulating power in the ACE signal will have different proportional gain factors and integration gain factor in the different state of a controls interval in a zone.
Wherein, in the step (8), the regulating power in the ACE signal will have different PLC to bear regulating power in the different state of a controls interval in a zone, and the pattern that PLC bears regulating power is divided into following four kinds:
The E.BLO pattern;
The F.BLR pattern;
The G.BLA pattern; With
The H.BLE pattern.
Compared with the prior art, beneficial effect of the present invention is:
Consider control model in the automatic generation control and the algorithm characteristic of electric power system full emulation, simultaneously, the present invention proposes the implementation method of automatic generation control model in the electric system simulation.This model can be simulated the constant frequency rate control in the automatic generation control, permanent exchange power control, interconnection power and three kinds of patterns of frequency bias control; Three kinds of control performance assessment criterias of A1/A2, CPS1/CPS2, T of automatic generation control have been realized simultaneously, according to different Region control Performance evaluation criterion, regional will adopt different control strategies, so that this model can be analyzed the impact of automatic generation control in the emulation of electric power system long term dynamics, be suitable for the whole process simulation requirement of electric power system electromechanical transient and long term dynamics.
The control model in whole zone is pre-set, only need to fill in primary network side AGC model gets final product, and the unit that each participation AGC regulates is different, each of each power plant unit need to be filled in unit side AGC model separately, the present invention is by being divided into the AGC model network side and unit side, both clear concept was user-friendly to again.
Description of drawings
Fig. 1 is automatic generation control AGC functional structure chart;
Fig. 2 is the schematic diagram of automatic generation control AGC network side model;
Fig. 3 is the schematic diagram of automatic generation control AGC unit side form type;
Fig. 4 is the flow chart of the implementation method of electric system simulation step of the present invention (1)-step (6) automatic generation control network side model;
Fig. 5 is the flow chart of the implementation method of electric system simulation step of the present invention (7)-step (11) automatic-generation-control unit side form type.
Fig. 6 is the interval schematic diagram of different state of a control of the present invention.
Embodiment
Below in conjunction with accompanying drawing the specific embodiment of the present invention is described in further detail.
The present invention proposes simulation automatic generation control (AGC) system model, the functional structure of AGC such as accompanying drawing 1.Among the figure, be divided into non-AGC unit and AGC unit, according to the day generation schedule of all generating sets, calculate the generation schedule of next day, pass on the one hand non-AGC unit, passing to LOAD FREQUENCY control LFC, calculating target power by the scheduling ED that adjusts economy on the other hand.After LOAD FREQUENCY control LFC judges according to deviations such as frequency, times whether POWER SYSTEM STATE is emergency mode, the AGC unit is carried out the corresponding power regulation and control, and and the QAGC unit between set up and feed back, make AGC power equal desired value.This model structure is reasonable, has preferably operability and adaptability, can correctly simulate three kinds of control models of automatic generation control, and three kinds of evaluation criterions.
Comprise the amplitude limit link in the simulation model, three kinds of control models, frequency departure coefficient B IASK determine method, three kinds of parts such as evaluation criterion:
1) amplitude limit link explanation (take the FDL amplitude limit as example)
If the frequency departure f of interconnection 0-f〉frequency departure limit FDL, then with the frequency departure f of interconnection 0-f is restricted to FDL; If the frequency departure f of interconnection 0-f＜-frequency departure limit FDL, then with the frequency departure f of interconnection 0-f is restricted to-FDL.
2) three kinds of control model explanations
The control of automatic generation control (AGC) system mainly contains three kinds of control models: 1.: constant frequency rate control CFC(Constant Frequency Control); 2.: permanent exchange power control CNIC(Constant Net Interchange Control); 3.: interconnection power and frequency bias control TBC(Tie line Bias frequency Control).The main purpose of CFC control model is to guarantee that system frequency equals set point; CNIC control model main purpose is to guarantee that interconnection power equals set point; The TBC control model is to guarantee that simultaneously system frequency and interconnection power equal set point.
3) frequency departure coefficient B IASK determines the method explanation
1.: the fixed coefficient method, namely can adopt fixing value, the annual setting once can be set according to the percentage of the highest forecast demand in year, the frequency departure coefficient of most of controlled areas is at the year 1%-1.5%(MW/0.1Hz of high forecast demand) between.
2.: dynamic coefficient method, namely for make the frequency departure coefficient at any time, in any case as far as possible near frequency response characteristic, can adopt linear or nonlinear variable parameter is set, this parameter is determined by the analysis to the frequency response characteristic of the factors vary such as load, generating set power, governing system characteristic and frequency.
4) three kinds of evaluation criterion explanations
(1) A1/A2 evaluation criterion
(1) definition of A1/A2 evaluation criterion
The A1 standard-required is in any one 10 minutes interval, and ACE must zero passage.This means the frequent zero passage of ACE, it can reduce the generation of inadvertent exchange electric quantity to greatest extent.But, also should see the frequent zero passage of ACE can causing system to carry out meaningless reverse adjusting, the recovery of system frequency is produced negative impact.
The A2 standard code control limit of ACE mean value, namely 10 of ACE minutes mean values are less than the L of regulation d
AVG（ACE 10min）≤L d
(2) calculating of control desired value and limit value
The control limit of the 10 minutes mean value of ACE is L d, L dComputing formula be
L d＝0.025ΔL+5MW
Δ L can calculate with two kinds of methods in the formula
(1) Δ L refers to the controlled area in the winter time or peak period in summer, the maximum variable quantity (increase or subtract) of day hour electric weight.
(2) Δ L refer to the controlled area in 1 year any 10 hours the electric quantity change amount (increase or subtract) mean value.
Generally speaking, the L of each controlled area dThe annual modification once.
(3) control performance standard index
According to the requirement of (North American Electric Reliability Corporation is called for short NERC) of the North America electric reliability committee, according to the A1/A2 standard AGC performance of each controlled area to be estimated, its qualified index is:
A1≥100%
A2≥90%
(2) CPS1/CPS2 evaluation criterion
(1) definition of evaluation criterion
The CPS1 standard refers to the controlled area in a long-time section (such as a year), and its Region control deviation ACE should satisfy the requirement of following formula:
ACE i - 10 B i ( f - f 0 ) ≤ ϵ 1 2
ACE in the formula i---the 1 minute mean value of the ACE of controlled area i;
B i---the frequency departure coefficient of controlled area i, this value is negative, unit is MW/0.1Hz;
The actual frequency of f---controlled area;
f 0---the standard frequency of controlled area;
ε 1---in the one-year age section, the root-mean-square value of 1 minute mean value of interconnected electric power system actual frequency and standard frequency deviation represents with following formula
ϵ 1 = Σ 1 n ( Δf i ) 2 n
N in the formula---the number of minutes in the one-year age section;
Δ f i---i minute frequency departure;
ε 1As the FREQUENCY CONTROL desired value, be a long-term performance assessment criteria, in interconnected electric power system, the ε of each controlled area 1Being worth all identically, and is a fixed constant.
The CPS2 standard refers within a period (such as 1 hour), and 10 minutes mean values of controlled area ACE must be controlled at special limit value L 10In.
(2) computational methods of control criterion
1.: the computing formula of CPS1
Order
CF = AVG ( ACE × Δf - 10 B × ϵ 1 2 )
Then have:
CPS1＝(2-CF)×100%
As can be seen from the above equation, the adjusting of CPS1 〉=regional AGC of 200% expression is favourable to reducing controlled area ACE or system frequency deviation; 200%〉CPS1 〉=100% does not exceed coverage to the impact of controlled area AGE or system frequency deviation; CPS1＜100% AGC regulates and has exceeded coverage.
2.: the computing formula of CPS2
According to the CPS2 standard definition,
AVG(ACE 10min)≤L 10
L 10 = 1.65 × ϵ 10 × ( - 10 B i ) × ( - 10 B s )
ε in the formula 10---in the one-year age section, the root-mean-square value of 10 minutes mean value of interconnected electric power system actual frequency and standard frequency deviation;
B s---the frequency departure coefficient that interconnected electric power system is total,
The computing formula of CPS2 is as follows:
The qualified point of CPS2=(10minACE/total 10min calendar point) * 100%
(3) control performance standard index
To each controlled area, according to the standard of CPS1, CPS2 its regional AGC performance to be estimated, its qualified index is:
CPS1≥100%
CPS2≥90%
(3) T evaluation criterion
This evaluation criterion and CPS1/CPS2 evaluation criterion control strategy are similar, only frequency departure need to be changed into the interconnection deviation and get final product.
The invention provides the implementation method of automatic generation control model in a kind of electric system simulation, in the time domain method emulation of electric system simulation, the calculating of automatic generation control model is that in the time domain method emulation calculates link.Fig. 4 and Fig. 5 are the flow charts of automatic generation control model implementation method of the present invention, and this implementation method comprises the steps:
(1): the automatic generation control model is pressed the variable origin classification, comprise network side model and unit side form type;
Calculate the time between current time and the last control constantly, if less than the described control time interval under the normal control model, wait for next time sampling (needing equally the time of judging whether to cross the control time interval when next time sampling) after then skipping this sampled point; If more than or equal to the control time interval under the normal control model, then carry out step (2);
(2): when entering the network side model, in the electric system simulation transfer function block diagram of automatic generation control AGC network side model as shown in Figure 2, described network side model is according to any one or two of control model sampling system actual frequency f and interconnection power P;
Determine that described network side model is as follows according to any one or two s' of control model sampling system actual frequency f and interconnection power P step:
1.: constant frequency rate control model CFC, sampling system actual frequency;
2.: permanent exchange power control pattern CNIC, sampling interconnection power;
3.: interconnection power and frequency bias control pattern TBC, simultaneously sampling system actual frequency and interconnection power;
(3): if sampling actual frequency f judges described actual frequency f and standard frequency f 0Difference DELTA f whether cross the border, if then suspend automatic electricity generation control system and return step (2), otherwise calculate the actual frequency power ACE corresponding with the difference of standard frequency 1If sampling interconnection power P is judged described interconnection power P and power target value P 0Difference DELTA P whether cross the border, if then suspend automatic electricity generation control system and return step (2), otherwise judged whether the interconnection power planning, then make difference power ACE if having 2Equal the poor of interconnection actual power and interconnection plan power, if then do not make ACE 2Equal described interconnection power P and power target value P 0Difference DELTA P;
The power ACE that described calculating actual frequency is corresponding with the difference of standard frequency 1Expression formula be:
ACE 1＝Δf×BIASK
In the formula, Δ f is the difference of actual frequency and target frequency, and BIASK is the frequency departure coefficient.
Wherein, definite method of described frequency departure coefficient B IASK comprises:
1.: the fixed coefficient method, namely can adopt fixing value, the annual setting once set according to the percentage of the highest forecast demand in year; Or
2.: dynamic coefficient method, namely adopt linear or nonlinear variable parameter is set, this parameter is determined by the analysis to the frequency response characteristic of the factors vary such as load, generating set power, governing system characteristic and frequency;
(4): calculate total Region control deviation ACE;
ACE=ACE 1+ACE 2；
In the formula, ACE 1Be power deviation corresponding to frequency departure; ACE 2Be difference power;
(5): carry out index according to different Region control Performance evaluation criterion and calculate, corresponding control strategy is estimated and adopted to result of calculation; For example, certain system adopts A1/A2 evaluation criterion, and in any one 10 minutes interval, the mean value of ACE is not less than the L of regulation d, this moment, the AGC system changed gain coefficient K PWith the integrating factor COEFFICIENT K I, accelerated to adjust exerting oneself of generator, make evaluation index satisfy standard-required.
Wherein, described Region control Performance evaluation criterion comprises three kinds of standards:
1. A1/A2 evaluation criterion; 2. CPS1/CPS2 evaluation criterion; 3. T evaluation criterion.
(6): the unit quantity that can regulate in the statistical regions is issued to automatic-generation-control unit side form type with the ACE signal;
(7): enter unit side form type, the transfer function block diagram of automatic generation control AGC unit side form type as shown in Figure 3, automatic-generation-control unit side form type calculates according to certain principle, realizes load economical distribution between unit; Wherein, certain principle mainly comprises:
In the step (7), the scale factor that the regulating power in the ACE signal is distributed is the weighted average of artificial set point and PLC regulations speed, artificial set point or PLC regulations speed, calculates after the scale factor normalized of pro rate coefficient by each PLC.
In the step (7), the economic allocation coefficient that the regulating power in the ACE signal is distributed and little gaining rate of unit are inversely proportional to, and are provided by on-line economic dispatch.
In the step (7), the regulating power in the ACE signal will have different proportional gain factors and integration gain factor in the different state of a controls interval in a zone.
(8): judge whether the regulating power in the unit ACE signal is out-of-limit, if out-of-limitly then described regulating power is limited in given maximum, out-of-limitly then do not bear the regulating power pattern according to the interval different PLC of employing of different state of a controls if having;
Wherein, regulating power in the ACE signal will have different PLC to bear regulating power in the different state of a controls interval in a zone, different state of a controls interval comprises four districts: dead band, normal district, inferior urgent district and urgent district, as shown in Figure 6, its PLC pattern of bearing regulating power is divided into following four kinds:
A.BLO pattern---PLC does not bear regulating power in any case, only bears prime power.
B.BLR pattern---PLC unconditionally bears regulating power in any case.
When C.BLA pattern---control area was in promptly inferior or the state of emergency, PLC just bore regulating power.
The D.BLE pattern---when the control area was in a state of emergency, PLC just bore regulating power.
(9): according to unit output pace of change upper lower limit value restriction unit output pace of change;
(10): the unit output pace of change is issued machine unit speed regulating device carry out;
(11): return step (2) and sample next time.
In sum, implementation method according to automatic generation control model in the electric system simulation of the present invention, has preferably operability and adaptability, control mode and the evaluation criterion of AGC system can be simulated easily, the overall process dynamic stability emulation of electrical power system transient and long term dynamics can be applied to.
Should be noted that at last: above embodiment is only in order to illustrate that technical scheme of the present invention is not intended to limit, although with reference to above-described embodiment the present invention is had been described in detail, those of ordinary skill in the field are to be understood that: still can make amendment or be equal to replacement the specific embodiment of the present invention, and do not break away from any modification of spirit and scope of the invention or be equal to replacement, it all should be encompassed in the middle of the claim scope of the present invention.

Claims (11)

1. the modeling method of automatic generation control model in the electric system simulation is carried out modeling to automatic electricity generation control system, it is characterized in that, described method comprises the steps:
(1): the automatic generation control model is pressed the variable origin classification, comprise network side model and unit side form type;
(2): described network side model is according to any one or two of control model sampling system actual frequency f and interconnection power P;
(3): if sampling actual frequency f judges described actual frequency f and standard frequency f 0Difference DELTA f whether cross the border, if then suspend automatic electricity generation control system and return step (2), otherwise calculate the actual frequency power ACE corresponding with the difference of standard frequency 1If sampling interconnection power P is judged described interconnection power P and power target value P 0Difference DELTA P whether out-of-limit, if then suspend automatic electricity generation control system and return step (2), otherwise judged whether the interconnection power planning, then make difference power ACE if having 2Equal the poor of interconnection actual power and interconnection plan power, if then do not make ACE 2Equal described interconnection power P and power target value P 0Difference DELTA P;
(4): calculate total Region control deviation ACE;
(5): carry out index according to different Region control Performance evaluation criterion and calculate, corresponding control strategy is estimated and adopted to result of calculation;
(6): the unit quantity that can regulate in the statistical regions is issued to automatic-generation-control unit side form type with the ACE signal;
(7): automatic-generation-control unit side form type calculates according to certain principle, realizes load economical distribution between unit;
(8): judge whether the regulating power in the unit ACE signal is out-of-limit, if out-of-limitly then described regulating power is limited in given maximum, out-of-limitly then do not bear the regulating power pattern according to the interval different PLC of employing of different state of a controls if having;
(9): according to unit output pace of change upper lower limit value restriction unit output pace of change;
(10): the unit output pace of change is issued machine unit speed regulating device carry out;
(11): return step (2) and sample next time.
2. modeling method as claimed in claim 1, it is characterized in that, step (1) classify finish after, calculate the time between current time and the last control moment, if less than the described control time interval under the normal control model, then skip this sampled point and wait for next time sampling; If more than or equal to the control time interval under the normal control model, then carry out step (2).
3. modeling method as claimed in claim 1 is characterized in that, step (2) determines that described network side model is as follows according to any one or two s' of control model sampling system actual frequency f and interconnection power P step:
1.: constant frequency rate control model CFC, sampling system actual frequency;
2.: permanent exchange power control pattern CNIC, sampling interconnection power;
3.: interconnection power and frequency bias control pattern TBC, simultaneously sampling system actual frequency and interconnection power.
4. modeling method as claimed in claim 1 is characterized in that, the power ACE that the described calculating actual frequency of step (3) is corresponding with the difference of standard frequency 1Expression formula be:
ACE 1＝Δf×BIASK
In the formula, Δ f is the difference of actual frequency and target frequency, and BIASK is the frequency departure coefficient.
5. modeling method as claimed in claim 4 is characterized in that, definite method of described frequency departure coefficient B IASK comprises:
1.: the fixed coefficient method, namely can adopt fixing value, the annual setting once set according to the percentage of the highest forecast demand in year; Or
2.: dynamic coefficient method, namely adopt linear or nonlinear variable parameter is set, this parameter is determined by the analysis to the frequency response characteristic of the factors vary such as load, generating set power, governing system characteristic and frequency.
6. modeling method as claimed in claim 1 is characterized in that, the expression formula that step (4) is calculated total Region control deviation ACE is:
ACE=ACE 1+ACE 2
In the formula, ACE 1Be power deviation corresponding to frequency departure; ACE 2Be difference power.
7. modeling method as claimed in claim 1 is characterized in that, the described Region control Performance evaluation criterion of step (5) comprises three kinds of standards:
1. A1/A2 evaluation criterion; 2. CPS1/CPS2 evaluation criterion; 3. T evaluation criterion.
8. modeling method as claimed in claim 1, it is characterized in that, in the step (7), the scale factor that regulating power in the ACE signal is distributed is the weighted average of artificial set point and PLC regulations speed, artificial set point or PLC regulations speed, calculates after the scale factor normalized of pro rate coefficient by each PLC.
9. modeling method as claimed in claim 1 is characterized in that, in the step (7), the economic allocation coefficient that the regulating power in the ACE signal is distributed and little gaining rate of unit are inversely proportional to, and are provided by on-line economic dispatch.
10. modeling method as claimed in claim 1 is characterized in that, in the step (7), the regulating power in the ACE signal will have different proportional gain factors and integration gain factor in the different state of a controls interval in a zone.
11. modeling method as claimed in claim 1, it is characterized in that, in the step (8), the regulating power in the ACE signal will have different PLC to bear regulating power in the different state of a controls interval in a zone, and the pattern that PLC bears regulating power is divided into following four kinds:
The A.BLO pattern;
The B.BLR pattern;
The C.BLA pattern; With
The D.BLE pattern.
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Cited By (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103166221A (en) * 2013-03-30 2013-06-19 大连理工大学 Ultra-high voltage grid operating control mode for controlling in-series execution of performance evaluation criterion
CN103199565A (en) * 2013-03-29 2013-07-10 华南理工大学 Multi-zone automatic generation control coordination method based on differential game theory
CN103337879A (en) * 2013-07-11 2013-10-02 上海电力学院 Regulation power dynamic optimization and distribution method with dead zone
CN103439962A (en) * 2013-08-06 2013-12-11 国家电网公司 Power gird automatic generation control closed loop detection and verification method
CN103986157A (en) * 2014-05-19 2014-08-13 国家电网公司 Control method suitable for automatic power generation control system of extra-high voltage interconnection line
CN104578113A (en) * 2015-01-05 2015-04-29 国电南瑞科技股份有限公司 Unit control mode self-adapting switching method based on AGC
CN105527858A (en) * 2015-12-29 2016-04-27 国网上海市电力公司 Hardware-in-the-loop simulation system for automatic generation control in smart grid
CN105529748A (en) * 2016-01-11 2016-04-27 中国南方电网有限责任公司 Automatic generation control system and method suitable for dynamic simulation of power system
CN106208155A (en) * 2016-08-30 2016-12-07 贵州电网公司电力调度控制中心 The control method of interconnection conveying Power Safe constraint and device
CN109586290A (en) * 2018-12-14 2019-04-05 中国电力科学研究院有限公司 A kind of Active Control Method and system of large scale electric network electro-magnetic transient automatic modeling
CN110021967A (en) * 2019-04-16 2019-07-16 国网陕西省电力公司电力科学研究院 A kind of district control deviation calculation method and system for Automatic Generation Control
CN110417064A (en) * 2019-07-26 2019-11-05 国网山东省电力公司电力科学研究院 Regulations speed dynamic regulation method and device based on the active ability monitoring of AGC unit
CN110516899A (en) * 2019-07-03 2019-11-29 南方电网科学研究院有限责任公司 Real-time simulation network-level and provincial-level AGC combined closed-loop test method and device
CN111769577A (en) * 2020-07-27 2020-10-13 国网河南省电力公司电力科学研究院 Automatic power generation control method and device of wind-solar power system
CN113078662A (en) * 2021-05-19 2021-07-06 广东电网有限责任公司 New energy rapid frequency response system and method

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101521380A (en) * 2008-02-29 2009-09-02 通用电气公司 Automatic generation control augmentation for wind plant integration

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101521380A (en) * 2008-02-29 2009-09-02 通用电气公司 Automatic generation control augmentation for wind plant integration

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
刘乐: "自动发电控制中频率偏差系数研究", 《中国博士学位论文全文数据库 工程科技Ⅱ辑》 *
刘孝先: "电力市场环境下的自动发电控制技术研究", 《中国优秀博硕士学位论文全文数据库 (硕士) 工程科技Ⅱ辑》 *
高宗和等: "互联电网CPS标准下的自动发电控制策略", 《电力系统自动化》 *

Cited By (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103199565A (en) * 2013-03-29 2013-07-10 华南理工大学 Multi-zone automatic generation control coordination method based on differential game theory
CN103166221A (en) * 2013-03-30 2013-06-19 大连理工大学 Ultra-high voltage grid operating control mode for controlling in-series execution of performance evaluation criterion
CN103337879A (en) * 2013-07-11 2013-10-02 上海电力学院 Regulation power dynamic optimization and distribution method with dead zone
CN103439962A (en) * 2013-08-06 2013-12-11 国家电网公司 Power gird automatic generation control closed loop detection and verification method
CN103439962B (en) * 2013-08-06 2015-09-23 国家电网公司 A kind of electrical network Automatic Generation Control closed loop detect verification method
CN103986157A (en) * 2014-05-19 2014-08-13 国家电网公司 Control method suitable for automatic power generation control system of extra-high voltage interconnection line
CN104578113A (en) * 2015-01-05 2015-04-29 国电南瑞科技股份有限公司 Unit control mode self-adapting switching method based on AGC
CN105527858A (en) * 2015-12-29 2016-04-27 国网上海市电力公司 Hardware-in-the-loop simulation system for automatic generation control in smart grid
CN105529748A (en) * 2016-01-11 2016-04-27 中国南方电网有限责任公司 Automatic generation control system and method suitable for dynamic simulation of power system
CN105529748B (en) * 2016-01-11 2018-05-04 中国南方电网有限责任公司 A kind of automatic power generation control method suitable for Power System Dynamic Simulation
CN106208155A (en) * 2016-08-30 2016-12-07 贵州电网公司电力调度控制中心 The control method of interconnection conveying Power Safe constraint and device
CN109586290A (en) * 2018-12-14 2019-04-05 中国电力科学研究院有限公司 A kind of Active Control Method and system of large scale electric network electro-magnetic transient automatic modeling
CN110021967A (en) * 2019-04-16 2019-07-16 国网陕西省电力公司电力科学研究院 A kind of district control deviation calculation method and system for Automatic Generation Control
CN110516899A (en) * 2019-07-03 2019-11-29 南方电网科学研究院有限责任公司 Real-time simulation network-level and provincial-level AGC combined closed-loop test method and device
CN110516899B (en) * 2019-07-03 2022-03-15 南方电网科学研究院有限责任公司 Real-time simulation network-level and provincial-level AGC combined closed-loop test method and device
CN110417064A (en) * 2019-07-26 2019-11-05 国网山东省电力公司电力科学研究院 Regulations speed dynamic regulation method and device based on the active ability monitoring of AGC unit
CN111769577A (en) * 2020-07-27 2020-10-13 国网河南省电力公司电力科学研究院 Automatic power generation control method and device of wind-solar power system
CN113078662A (en) * 2021-05-19 2021-07-06 广东电网有限责任公司 New energy rapid frequency response system and method

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