CN105656024A  Electric power system operation standby safety margin online assessment method  Google Patents
Electric power system operation standby safety margin online assessment method Download PDFInfo
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 CN105656024A CN105656024A CN201510874414.1A CN201510874414A CN105656024A CN 105656024 A CN105656024 A CN 105656024A CN 201510874414 A CN201510874414 A CN 201510874414A CN 105656024 A CN105656024 A CN 105656024A
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Classifications

 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

 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]
Abstract
The invention discloses an electric power system operation standby safety margin online assessment method and belongs to the electric power system operation and control technology field. Through considering time domain simulation of protection and automatic safety device motion, a stable operation state of a faulted system is acquired. Based on a direct current trend equation of the state, active power sensitivity of an operation standby to power transmission equipment and a power transmission channel is calculated. Through solving and considering a controllable operation standby interval, a power transmission equipment overload limit and a power transmission channel safety and stability limit constraint, a maximum operation standby is taken as an optimization function of a target so as to acquire an operation standby capacity maximum value which can be used for controlling a steadystate frequency. Through combining a power frequency static state characteristic coefficient, a maximum controllable amount of the steadystate frequency is calculated and operation standby safety margin online assessment considering the fault is realized.
Description
Technical field
The invention belongs to operation and control of electric power system technical field, specifically, the present invention relates to a kind of considering security that is applicable to and stablize constraint to the online quantitative estimation method of frequency control ability of electric power system operation standby after forecast failure.
Background technology
After electric power system operation standby mainly occurs for forecast failure (comprising generator output fluctuation, fluctuation of load, short circuit, tripping operation and direct current locking etc.), safeguards system frequency quality requires to arrange, therefore, need constantly to monitor operation is for subsequent use in Operation of Electric Systems, and assess the virtual rating of its safeguards system frequency quality.
What existing operation inservice monitoring for subsequent use and appraisal procedure adopted is exerts oneself according to the total maximum generation of current running status, the difference of total minimum generated output and total load represents control power system mesomeric state frequency decrease respectively operation reserve capacity and the operation reserve capacity that control power system mesomeric state frequency rises, to run the ratio reflection operation safety margin for subsequent use that reserve capacity accounts for total load or total generated output.
Existing method the size unification that affects of power system power balance is considered with himself by forecast failure, there is the deficiency of two aspects: on the one hand, do not distinguish the impact difference that power system is caused by the identical different forecast failures of power variation, such as, after the different DC line bipolar lockings that transmission power is identical, the power shortage caused after may there is machine of cutting, cutting load because transient state is different with dynamic process is different, even if the power shortage caused is identical, it is also possible to the trend distribution caused is different; On the other hand, do not consider to run yet for subsequent use whether can be unavailable because of the constraint of transmission facility overload margin and passway for transmitting electricity safety and stability limit, there is operation reserve capacity that the method provides can not completely for controlling the operation condition of power system mesomeric state change of frequency. Therefore, adopt the method can not obtain true reflection to consider forecast failure, meet power system safety and stability and run the operation safety margin for subsequent use of constraint requirements.For this reason, need for different forecast failures, by considering the timedomainsimulation of first and second equipment dynamic behaviour and obtain the steady operational status after forecast failure, again based on this running status, consider that the constraint of transmission facility overload margin and passway for transmitting electricity safety and stability limit calculates actual available maximum operation reserve capacity, in conjunction with the upper and lower limit that powerfrequency static characteristics coefficient and the systematic steady state frequency quality of this running status require, operation safety margin for subsequent use is carried out quantitative evaluation.
Summary of the invention
It is an object of the invention to: for existing operation inservice monitoring for subsequent use and appraisal procedure, the size unification that affects of power system power balance is considered by forecast failure with it, do not distinguish the impact difference that power system is caused by the identical different forecast failures of power variation, and do not consider the deficiency of the constraint of transmission facility overload margin and passway for transmitting electricity safety and stability limit, after considering forecast failure, power train is unified, the dynamic behaviour of second set, the constraint of transmission facility overload margin and passway for transmitting electricity safety and stability limit in adjustment for subsequent use is run under steady operational status after taking into account forecast failure, a kind of electric power system operation standby safety margin online evaluation method considering forecast failure is proposed, to meet the actual demand of management and running control.
The technology used in the present invention principle is: forecast failure just can be transitioned into stable running status after needing experience transient state, dynamic process after occurring; generator excitation/velocity control system, protection in transient process, peace may action from equipment such as devices; it is therefore necessary to carry out for forecast failure considering that the timedomainsimulation of first and second equipment dynamic behaviour just can obtain after forecast failure closest to actual steady operational status. The speed obtaining steady operational status to improve, in dynamic process, computing node frequency jitter amplitude is less than set(ting)value as criterion premature termination timedomainsimulation. Running the constraint of transmission facility overload margin and passway for transmitting electricity safety and stability limit in adjustment for subsequent use after taking into account forecast failure under steady operational status, the maximum controlled variable for subsequent use that runs calculated is only the operation reserve capacity really can implemented. In conjunction with the upper and lower limit that powerfrequency static characteristics coefficient and the systematic steady state frequency quality of system under steady operational status after forecast failure require, can realize the electric power system operation standby safety margin online evaluation considering forecast failure.
Specifically, the present invention adopts following technical scheme to realize, and comprises the following steps:
1) based on the current running status of power system, carry out for forecast failure considering that protection and peace are from the timedomainsimulation of device action, until when emulation is all less than set(ting)value �� to the difference of adjacent maximum value in each computing node dynamic process of frequency and mnm., terminate timedomainsimulation, obtain dynamic process of frequency and each meritorious dynamic process injecting node and transmission facility of each computing node, enter step 2);
Described injection node comprises generator node, load node and equivalent injection node;
Described transmission facility comprises circuit and transformer;
2) for each computing node, respectively using step 1) maximum value at the end of node dynamic process of frequency and the mean value both mnm. as the steady frequency considering each computing node after forecast failure, then using the mean value of the steady frequency of all computing nodes as the steady frequency f considering power system after forecast failure_{a};
Inject node for each, respectively using step 1) inject the meritorious dynamic process of node at the end of maximum value and the mean value both mnm. as considering that the stable state of this injection node is meritorious after forecast failure;
For each transmission facility, respectively using step 1) maximum value at the end of the meritorious dynamic process of transmission facility and the mean value both mnm. is as considering that the stable state of this transmission facility is meritorious after forecast failure, the passway for transmitting electricity monitored for safety and stability for each again, respectively meritorious for the stable state of transmission facilities all in passway for transmitting electricity sum is gained merit as the stable state of this passway for transmitting electricity after considering forecast failure, enter step 3);
3) according to considering after forecast failure that stable state that each injects node is meritorious and the network topology of power system after forecast failure and model and parameter, form the DC power flow equation of power system, enter step 4);
4) based on the DC power flow equation of power system, for each meritorious controllable node that injection node presets, calculate the sensitivity that each transmission facility in power system is gained merit by meritorious controllable node respectively, enter step 5);
5) if f_{a}It is less than or equal to power system rated frequency f_{r}With the difference of ��/2, then by solving the optimization function that formula (1) represents, after calculating forecast failure, can be used for improving the meritorious injection change total amount �� P of power system mesomeric state frequency_{in}, enter step 6);
If f_{a}It is more than or equal to f_{r}With ��/2 sum, then by solving the optimization function that formula (2) represents, after calculating forecast failure, can be used for reducing the meritorious injection change total amount �� P of power system mesomeric state frequency_{de}, enter step 7);
If f_{a}It is greater than f_{r}With the difference of ��/2 and f_{a}It is less than f_{r}With ��/2 sum, then respectively by the optimization function solving formula (1) and formula (2) represents, meritorious injections that can be used for improving power system mesomeric state frequency after calculating forecast failure changes total amount �� P_{in}With the meritorious injection change total amount �� P that can be used for reducing power system mesomeric state frequency_{de}, enter step 8);
In formula (1) and (2), I is the sum injecting the meritorious controllable node of node, �� P_{i}For the meritorious injection variable quantity of ith node in meritorious controllable node, P_{i.0}For the meritorious injection rate of stable state of ith node in controllable node meritorious after consideration forecast failure, P_{i.max}For meritorious injection rate of considering the stable state of ith node in meritorious controllable node after forecast failure set time long �� t in the upper limit in controlled interval, P_{i.min}For meritorious injection rate of considering the stable state of ith node in meritorious controllable node after forecast failure set time long �� t in the lower limit in controlled interval, J is the passway for transmitting electricity sum monitored for safety and stability, K_{j}For the sum of transmission facility in the individual passway for transmitting electricity for safety and stability supervision of jth, s_{j.k.i}For the sensitivity that jth is gained merit by the meritorious injection of ith node in meritorious controllable node for passway for transmitting electricity kth the transmission facility that safety and stability monitors, �� P_{j.k}For the variable quantity that jth is gained merit for kth transmission facility in the passway for transmitting electricity of safety and stability supervision, P_{j.k.0}For jth after consideration forecast failure is gained merit for the stable state of kth transmission facility in the passway for transmitting electricity of safety and stability supervision, P_{j.k.LMT}For the meritorious limit of stable state of kth transmission facility in the individual passway for transmitting electricity for safety and stability supervision of jth, �� P_{T.j}For the variable quantity that jth is gained merit for the passway for transmitting electricity that safety and stability monitors, P_{T.j.0}For jth after consideration forecast failure is meritorious for the stable state of the passway for transmitting electricity of safety and stability supervision, P_{T.j.LMT}For the forward security stability limitation of the passway for transmitting electricity that jth after consideration forecast failure monitors for safety and stability, P_{T}'_{.j.LMT}For the reverse safety and stability limit of the passway for transmitting electricity that jth after consideration forecast failure monitors for safety and stability, the set of the transmission facility except transmission facility in the passway for transmitting electricity being used for safety and stability supervision being designated as B, L is the sum of transmission facility in B, s_{b.l.i}For the sensitivity that B the l transmission facility is gained merit by the meritorious injection of ith node in meritorious controllable node, �� P_{b.l}For the variable quantity that the l transmission facility in B is meritorious, P_{b.l.0}For in B after consideration forecast failure, the stable state of l transmission facility is gained merit, P_{b.l.LMT}For the meritorious limit of stable state of l transmission facility in B;
First, 6) according to step 5) meritorious injections that can be used for improving power system mesomeric state frequency after the forecast failure that calculates change total amount �� P_{in}, and the powerfrequency static characteristics coefficient k of power system after consideration forecast failure_{pf}, calculated by formula (3) and consider �� P_{in}The variation delta f of power system mesomeric state frequency after implementing_{in}, then calculated the electric power system operation standby safety margin �� considering forecast failure by formula (4), method ends;
In formula, f_{d}For the lower limit in power system mesomeric state frequency security interval;
First, 7) according to step 5) meritorious injections that can be used for reducing power system mesomeric state frequency after the forecast failure that calculates change total amount �� P_{de}, and the powerfrequency static characteristics coefficient k of power system after consideration forecast failure_{pf}, calculated by formula (5) and consider �� P_{de}The variation delta f of power system mesomeric state frequency after implementing_{de}, then calculated the electric power system operation standby safety margin �� considering forecast failure by formula (6), method ends;
In formula, f_{u}For the upper limit in power system mesomeric state frequency security interval;
First, 8) according to step 5) meritorious injections that can be used for improving power system mesomeric state frequency after the forecast failure that calculates change total amount �� P_{in}, and the powerfrequency static characteristics coefficient k of power system after consideration forecast failure_{pf}, calculated by formula (7) and consider �� P_{in}The variation delta f of power system mesomeric state frequency after implementing_{in}, according to step 5) and meritorious injections that can be used for reducing power system mesomeric state frequency after the forecast failure that calculates change total amount �� P_{de}, and the powerfrequency static characteristics coefficient k of power system after consideration forecast failure_{pf}, calculated by formula (8) and consider �� P_{de}The variation delta f of power system mesomeric state frequency after implementing_{de}, then calculated the electric power system operation standby safety margin �� considering forecast failure by formula (9), method ends;
In formula, f_{d}For the lower limit in power system mesomeric state frequency security interval, f_{u}For the upper limit in power system mesomeric state frequency security interval.
In order to improve operation efficiency, abovementioned all processes can be processed by PC cluster method, namely each forecast failure concentrated for forecast failure, by the electric power system operation standby safety margin online evaluation using considering single forecast failure as an example, adopt the mode of PC cluster, by abovementioned all processes, each example is carried out parallel processing, obtain considering respectively the electric power system operation standby safety margin of each forecast failure.
By adopting technique scheme, the present invention achieves following technique effect: by carrying out for forecast failure considering that the timedomainsimulation of first and second equipment dynamic behaviour can obtain after forecast failure closest to actual steady operational status, overcomes existing operation inservice monitoring for subsequent use and ignores transient state with appraisal procedure and dynamic process, foundation stable state analysis technology determine the steady operational status after forecast failure, unrealistic deficiency. In dynamic process, computing node frequency jitter amplitude is less than set(ting)value as criterion premature termination timedomainsimulation, it is to increase obtain the speed of steady operational status after forecast failure. By running the constraint of transmission facility overload margin and passway for transmitting electricity safety and stability limit in adjustment for subsequent use under steady operational status after taking into account forecast failure, the operation calculated maximum controlled variable for subsequent use, reflects the operation reserve capacity really can implemented. In conjunction with the upper and lower limit that powerfrequency static characteristics coefficient and the systematic steady state frequency quality of system under steady operational status after forecast failure require, achieve the electric power system operation standby safety margin online evaluation considering forecast failure, meet the actual demand of management and running control.
Accompanying drawing explanation
Fig. 1 is the schema of the inventive method.
Embodiment
Below in conjunction with accompanying drawing, the present invention is described in further detail.
Step 1 in Fig. 1: based on the current running status of power system, carry out for forecast failure considering that protection and peace are from the timedomainsimulation of device action, until when emulation is all less than set(ting)value �� (being usually set to 0.02Hz) to the difference of adjacent maximum value in each computing node dynamic process of frequency and mnm., terminate timedomainsimulation, obtain dynamic process of frequency and each meritorious dynamic process injecting node and transmission facility of each computing node, enter step 2);
Described injection node comprises generator node, load node and equivalent injects node (such as equivalent generator node, etc. duty value node). Described transmission facility comprises circuit and transformer.
Step 2 in Fig. 1: for each computing node, respectively using step 1) maximum value at the end of node dynamic process of frequency and the mean value both mnm. as the steady frequency considering this computing node after forecast failure, then using the mean value of the steady frequency of all computing nodes as the steady frequency f considering power system after forecast failure_{a}��
Inject node for each, respectively using step 1) inject the meritorious dynamic process of node at the end of maximum value and the mean value both mnm. as considering that the stable state of this injection node is meritorious after forecast failure.
For each transmission facility, respectively using step 1) at the end of the meritorious dynamic process of transmission facility maximum value and the mean value both mnm. as considering that the stable state of this transmission facility is meritorious after forecast failure, the passway for transmitting electricity monitored for safety and stability for each again, respectively meritorious for the stable state of transmission facilities all in passway for transmitting electricity sum is gained merit as the stable state of this passway for transmitting electricity after considering forecast failure, enter step 3).
Step 3 in Fig. 1: according to considering after forecast failure that stable state that each injects node is meritorious and the network topology of power system after forecast failure and model and parameter, form the DC power flow equation of power system, enter step 4).
Step 4 in Fig. 1: based on the DC power flow equation of power system, for each meritorious controllable node that injection node presets, calculates the sensitivity that each transmission facility in power system is gained merit by meritorious controllable node respectively, enters step 5).
Step 5 in Fig. 1: if f_{a}It is less than or equal to power system rated frequency f_{r}With the difference of ��/2, then by solving the optimization function that formula (1) represents, after calculating forecast failure, can be used for improving the meritorious injection change total amount �� P of power system mesomeric state frequency_{in}, enter step 6).
If f_{a}It is more than or equal to f_{r}With ��/2 sum, then by solving the optimization function that formula (2) represents, after calculating forecast failure, can be used for reducing the meritorious injection change total amount �� P of power system mesomeric state frequency_{de}, enter step 7).
If f_{a}It is greater than f_{r}With the difference of ��/2 and f_{a}It is less than f_{r}With ��/2 sum, then respectively by the optimization function solving formula (1) and formula (2) represents, meritorious injections that can be used for improving power system mesomeric state frequency after calculating forecast failure changes total amount �� P_{in}With the meritorious injection change total amount �� P that can be used for reducing power system mesomeric state frequency_{de}, enter step 8);
In formula (1) and (2), I is the sum injecting the meritorious controllable node of node, �� P_{i}For the meritorious injection variable quantity of ith node in meritorious controllable node, P_{i.0}For the meritorious injection rate of stable state of ith node in controllable node meritorious after consideration forecast failure, P_{i.max}For meritorious injection rate of considering the stable state of ith node in meritorious controllable node after forecast failure set time long �� t (being usually set to 3 minutes) in the upper limit in controlled interval, P_{i.min}For meritorious injection rate of considering the stable state of ith node in meritorious controllable node after forecast failure set time long �� t in the lower limit in controlled interval, J is the passway for transmitting electricity sum monitored for safety and stability, K_{j}For the sum of transmission facility in the individual passway for transmitting electricity for safety and stability supervision of jth, s_{j.k.i}For the sensitivity that jth is gained merit by the meritorious injection of ith node in meritorious controllable node for passway for transmitting electricity kth the transmission facility that safety and stability monitors, �� P_{j.k}For the variable quantity that jth is gained merit for kth transmission facility in the passway for transmitting electricity of safety and stability supervision, P_{j.k.0}For jth after consideration forecast failure is gained merit for the stable state of kth transmission facility in the passway for transmitting electricity of safety and stability supervision, P_{j.k.LMT}For the meritorious limit of stable state of kth transmission facility in the individual passway for transmitting electricity for safety and stability supervision of jth, �� P_{T.j}For the variable quantity that jth is gained merit for the passway for transmitting electricity that safety and stability monitors, P_{T.j.0}For jth after consideration forecast failure is meritorious for the stable state of the passway for transmitting electricity of safety and stability supervision, P_{T.j.LMT}For the forward security stability limitation of the passway for transmitting electricity that jth after consideration forecast failure monitors for safety and stability, P'_{T.j.LMT}For the reverse safety and stability limit of the passway for transmitting electricity that jth after consideration forecast failure monitors for safety and stability, the set of the transmission facility except transmission facility in the passway for transmitting electricity being used for safety and stability supervision being designated as B, L is the sum of transmission facility in B, s_{b.l.i}For the sensitivity that B the l transmission facility is gained merit by the meritorious injection of ith node in meritorious controllable node, �� P_{b.l}For the variable quantity that the l transmission facility in B is meritorious, P_{b.l.0}For in B after consideration forecast failure, the stable state of l transmission facility is gained merit, P_{b.l.LMT}For the meritorious limit of stable state of l transmission facility in B.
If needing the meritorious constraint considering junctor section between region in the active power adjustment controlled for steady frequency, then junctor section is processed as the passway for transmitting electricity being used for safety and stability supervision, wherein, by P_{T.j.LMT}Substitute by the meritorious upper limit of this junctor section, by P'_{T.j.LMT}Substituting with the contrary number of the meritorious lower limit of this junctor section, other parameter constant, can realize.
Wherein, the method of calculation of the meritorious limit of the stable state of transmission facility are as follows: if the ratio of transmission facility electric current and electric current limit under the current running status of power system is greater than set(ting)value (being usually set to 10%), the terminal voltage then remained under the current running status of power system with transmission facility is constant and power factor does not turn into condition, calculate gaining merit when transmission facility electric current reaches electric current limit, the stable state of transmission facility is it can be used as to gain merit limit, otherwise, then constant and under the current running status of power system the terminal voltage of power factor (being usually set to 0.95) of setting is kept not turn into condition with transmission facility, calculate gaining merit when transmission facility electric current reaches electric current limit, the stable state of transmission facility is it can be used as to gain merit limit.
Step 6 in Fig. 1: first, according to step 5) meritorious injections that can be used for improving power system mesomeric state frequency after the forecast failure that calculates change total amount �� P_{in}, and the powerfrequency static characteristics coefficient k of power system after consideration forecast failure_{pf}(when power system voltage is constant, system always injects meritorious variable quantity and the ratio of systematic steady state frequency variation), is calculated by formula (3) and considers �� P_{in}The variation delta f of power system mesomeric state frequency after implementing_{in}, then calculated the electric power system operation standby safety margin �� considering forecast failure by formula (4), method ends:
In formula, f_{d}For the lower limit in power system mesomeric state frequency security interval.
Step 7 in Fig. 1: first, according to step 5) meritorious injections that can be used for reducing power system mesomeric state frequency after the forecast failure that calculates change total amount �� P_{de}, and the powerfrequency static characteristics coefficient k of power system after consideration forecast failure_{pf}, calculated by formula (5) and consider �� P_{de}The variation delta f of power system mesomeric state frequency after implementing_{de}, then calculated the electric power system operation standby safety margin �� considering forecast failure by formula (6), method ends:
In formula, f_{u}For the upper limit in power system mesomeric state frequency security interval;
Step 8 in Fig. 1: first, according to step 5) meritorious injections that can be used for improving power system mesomeric state frequency after the forecast failure that calculates change total amount �� P_{in}, and the powerfrequency static characteristics coefficient k of power system after consideration forecast failure_{pf}, calculated by formula (7) and consider �� P_{in}The variation delta f of power system mesomeric state frequency after implementing_{in}, according to step 5) and meritorious injections that can be used for reducing power system mesomeric state frequency after the forecast failure that calculates change total amount �� P_{de}, and the powerfrequency static characteristics coefficient k of power system after consideration forecast failure_{pf}, calculated by formula (8) and consider �� P_{de}The variation delta f of power system mesomeric state frequency after implementing_{de}, then calculated the electric power system operation standby safety margin �� considering forecast failure by formula (9), method ends:
In formula, f_{d}For the lower limit in power system mesomeric state frequency security interval, f_{u}For the upper limit in power system mesomeric state frequency security interval.
In order to improve operation efficiency, abovementioned all processes can be processed by PC cluster method, namely each forecast failure concentrated for forecast failure, by the electric power system operation standby safety margin online evaluation using considering single forecast failure as an example, adopt the mode of PC cluster, by abovementioned all processes, each example is carried out parallel processing, obtain considering respectively the electric power system operation standby safety margin of each forecast failure.
Although the present invention is with better embodiment openly as above, but embodiment is not for limiting the present invention's. Without departing from the spirit and scope of the invention, any equivalence change done or retouching, belong to the protection domain of the present invention equally. Therefore the content that protection scope of the present invention should define taking the claim of the application is as standard.
Claims (3)
1. electric power system operation standby safety margin online evaluation method, it is characterised in that, comprise the steps:
1) based on the current running status of power system, carry out for forecast failure considering that protection and peace are from the timedomainsimulation of device action, until when emulation is all less than set(ting)value �� to the difference of adjacent maximum value in each computing node dynamic process of frequency and mnm., terminate timedomainsimulation, obtain the dynamic process of frequency of each computing node and each meritorious dynamic process injecting node and each transmission facility, enter step 2);
Described injection node comprises generator node, load node and equivalent injection node;
Described transmission facility comprises circuit and transformer.
2) for each computing node, respectively using step 1) maximum value at the end of node dynamic process of frequency and the mean value both mnm. as the steady frequency considering each computing node after forecast failure, then using the mean value of the steady frequency of all computing nodes as the steady frequency f considering power system after forecast failure_{a};
Inject node for each, respectively using step 1) inject the meritorious dynamic process of node at the end of maximum value and the mean value both mnm. as considering that the stable state of this injection node is meritorious after forecast failure;
For each transmission facility, respectively using step 1) maximum value at the end of the meritorious dynamic process of transmission facility and the mean value both mnm. is as considering that the stable state of this transmission facility is meritorious after forecast failure, the passway for transmitting electricity monitored for safety and stability for each again, respectively meritorious for the stable state of transmission facilities all in passway for transmitting electricity sum is gained merit as the stable state of this passway for transmitting electricity after considering forecast failure, enter step 3);
3) according to considering after forecast failure that stable state that each injects node is meritorious and the network topology of power system after forecast failure and model and parameter, form the DC power flow equation of power system, enter step 4);
4) based on the DC power flow equation of power system, for each meritorious controllable node that injection node presets, calculate the sensitivity that each transmission facility in power system is gained merit by meritorious controllable node respectively, enter step 5);
5) if f_{a}It is less than or equal to power system rated frequency f_{r}With the difference of ��/2, then by solving the optimization function that formula (1) represents, after calculating forecast failure, can be used for improving the meritorious injection change total amount �� P of power system mesomeric state frequency_{in}, enter step 6);
If f_{a}It is more than or equal to f_{r}With ��/2 sum, then by solving the optimization function that formula (2) represents, after calculating forecast failure, can be used for reducing the meritorious injection change total amount �� P of power system mesomeric state frequency_{de}, enter step 7);
If f_{a}It is greater than f_{r}With the difference of ��/2 and f_{a}It is less than f_{r}With ��/2 sum, then respectively by the optimization function solving formula (1) and formula (2) represents, meritorious injections that can be used for improving power system mesomeric state frequency after calculating forecast failure changes total amount �� P_{in}With the meritorious injection change total amount �� P that can be used for reducing power system mesomeric state frequency_{de}, enter step 8);
In formula (1) and (2), I is the sum injecting the meritorious controllable node of node, �� P_{i}For the meritorious injection variable quantity of ith node in meritorious controllable node, P_{i.0}For the meritorious injection rate of stable state of ith node in controllable node meritorious after consideration forecast failure, P_{i.max}For meritorious injection rate of considering the stable state of ith node in meritorious controllable node after forecast failure set time long �� t in the upper limit in controlled interval, P_{i.min}For meritorious injection rate of considering the stable state of ith node in meritorious controllable node after forecast failure set time long �� t in the lower limit in controlled interval, J is the passway for transmitting electricity sum monitored for safety and stability, K_{j}For the sum of transmission facility in the individual passway for transmitting electricity for safety and stability supervision of jth, s_{j.k.i}For the sensitivity that jth is gained merit by the meritorious injection of ith node in meritorious controllable node for passway for transmitting electricity kth the transmission facility that safety and stability monitors, �� P_{j.k}For the variable quantity that jth is gained merit for kth transmission facility in the passway for transmitting electricity of safety and stability supervision, P_{j.k.0}For jth after consideration forecast failure is gained merit for the stable state of kth transmission facility in the passway for transmitting electricity of safety and stability supervision, P_{j.k.LMT}For the meritorious limit of stable state of kth transmission facility in the individual passway for transmitting electricity for safety and stability supervision of jth, �� P_{T.j}For the variable quantity that jth is gained merit for the passway for transmitting electricity that safety and stability monitors, P_{T.j.0}For jth after consideration forecast failure is meritorious for the stable state of the passway for transmitting electricity of safety and stability supervision, P_{T.j.LMT}For the forward security stability limitation of the passway for transmitting electricity that jth after consideration forecast failure monitors for safety and stability, P '_{T.j.LMT}For the reverse safety and stability limit of the passway for transmitting electricity that jth after consideration forecast failure monitors for safety and stability, the set of the transmission facility except transmission facility in the passway for transmitting electricity being used for safety and stability supervision being designated as B, L is the sum of transmission facility in B, s_{b.l.i}For the sensitivity that B the l transmission facility is gained merit by the meritorious injection of ith node in meritorious controllable node, �� P_{b.l}For the variable quantity that the l transmission facility in B is meritorious, P_{b.l.0}For in B after consideration forecast failure, the stable state of l transmission facility is gained merit, P_{b.l.LMT}For the meritorious limit of stable state of l transmission facility in B;
First, 6) according to step 5) meritorious injections that can be used for improving power system mesomeric state frequency after the forecast failure that calculates change total amount �� P_{in}, and the powerfrequency static characteristics coefficient k of power system after consideration forecast failure_{pf}, calculated by formula (3) and consider �� P_{in}The variation delta f of power system mesomeric state frequency after implementing_{in}, then calculated the electric power system operation standby safety margin �� considering forecast failure by formula (4), method ends;
In formula, f_{d}For the lower limit in power system mesomeric state frequency security interval;
First, 7) according to step 5) meritorious injections that can be used for reducing power system mesomeric state frequency after the forecast failure that calculates change total amount �� P_{de}, and the powerfrequency static characteristics coefficient k of power system after consideration forecast failure_{pf}, calculated by formula (5) and consider �� P_{de}The variation delta f of power system mesomeric state frequency after implementing_{de}, then calculated the electric power system operation standby safety margin �� considering forecast failure by formula (6), method ends;
In formula, f_{u}For the upper limit in power system mesomeric state frequency security interval;
First, 8) according to step 5) meritorious injections that can be used for improving power system mesomeric state frequency after the forecast failure that calculates change total amount �� P_{in}, and the powerfrequency static characteristics coefficient k of power system after consideration forecast failure_{pf}, calculated by formula (7) and consider �� P_{in}The variation delta f of power system mesomeric state frequency after implementing_{in}, according to step 5) and meritorious injections that can be used for reducing power system mesomeric state frequency after the forecast failure that calculates change total amount �� P_{de}, and the powerfrequency static characteristics coefficient k of power system after consideration forecast failure_{pf}, calculated by formula (8) and consider �� P_{de}The variation delta f of power system mesomeric state frequency after implementing_{de}, then calculated the electric power system operation standby safety margin �� considering forecast failure by formula (9), method ends;
In formula, f_{d}For the lower limit in power system mesomeric state frequency security interval, f_{u}For the upper limit in power system mesomeric state frequency security interval.
2. the online cluster appraisal procedure of electric power system operation standby safety margin according to claim 1, it is characterized in that, in step 5) in, if needing the meritorious constraint considering junctor section between region in the active power adjustment controlled for steady frequency, then being processed as the passway for transmitting electricity being used for safety and stability supervision by junctor section, it is by P_{T.j.LMT}Substitute by the meritorious upper limit of this junctor section, by P '_{T.j.LMT}Substitute with the contrary number of the meritorious lower limit of this junctor section.
3. the online cluster appraisal procedure of electric power system operation standby safety margin according to claim 1 and 2, it is characterized in that, for each forecast failure that forecast failure is concentrated, by the electric power system operation standby safety margin online evaluation using considering single forecast failure as an example, adopt the mode of PC cluster, by method according to claim 1, each example is carried out parallel processing, obtain considering respectively the electric power system operation standby safety margin of each forecast failure.
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