CN103023019A - Method and system for analyzing reserve capacity of power grid - Google Patents
Method and system for analyzing reserve capacity of power grid Download PDFInfo
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- CN103023019A CN103023019A CN2012104851564A CN201210485156A CN103023019A CN 103023019 A CN103023019 A CN 103023019A CN 2012104851564 A CN2012104851564 A CN 2012104851564A CN 201210485156 A CN201210485156 A CN 201210485156A CN 103023019 A CN103023019 A CN 103023019A
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Abstract
The invention provides a method and system for analyzing the reserve capacity of a power grid. The method comprises the following steps of: receiving a reserve capacity analysis command, and acquiring real-time running data of the power grid from an EMS (Enhanced Message Service) system of the power grid according to the reserve capacity analysis command; determining the reserve adjustment capacity of commissioning generating sets under all preset time scales; determining maximum power output adjustment threshold values of the commissioning generating sets corresponding to the preset time scales under the limit of a net rack framework of the current power grid; respectively determining power output adjustment values of the commissioning generating sets corresponding to the preset time scales according to the corresponding reserve adjustment capacity and the corresponding maximum power output adjustment threshold values; and according to the power output adjustment values, determining the maximum reserve capacity and the minimum reserve capacity of the power grid corresponding to the time scale. According to the scheme, the analysis efficiency can also be improved greatly, and the obtained analysis result is accurate and real-time.
Description
Technical field
The present invention relates to the electric power network technique field, particularly a kind of electrical network reserve capacity analytical method, a kind of electrical network reserve capacity analytical system.
Background technology
The analysis of electrical network reserve capacity is that dispatching of power netwoks control personnel keep one of important regulating and controlling means of electric power netting safe running, for improve power grid security, stable, high-quality operation plays an important role.At present along with EMS system (EMS) in the extensive use of dispatching of power netwoks control field and the day by day improvement of EMS function that system comprises, dispatching of power netwoks control personnel by the EMS system acquisition characterize the mass data of operation of power networks information.How can intuitively characterize the operation of power networks state and characterize the local data that current Forming Electrical Dispatching Command Tickets personnel are concerned about in the operation of power networks extracting data of magnanimity and become problem demanding prompt solution.
On the other hand, dispatching of power netwoks control personnel's live load is along with the continuous expansion of electric network composition becomes day by day heavy.Complicated electric network composition is so that dispatching of power netwoks control personnel need to face, process more complicated situation.The electrical network reserve capacity is the important regulating and controlling means that dispatching of power netwoks control personnel keep power network safety operation as the back-up machine pool-size of accepting system call control personnel instruction operation.Therefore how electrical network reserve capacity from more accurate, segmentation to dispatching of power netwoks control personnel that transmit for improve power grid security, stablize, high-quality operation seems and becomes more and more important.
Summary of the invention
For above-mentioned problems of the prior art, the object of the present invention is to provide a kind of electrical network reserve capacity analytical method, another object of the present invention is to provide a kind of electrical network reserve capacity analytical system, the analysis result of its acquisition is accurate, real-time, and analysis efficiency is high.
For achieving the above object, the present invention by the following technical solutions:
A kind of electrical network reserve capacity analytical method comprises step:
Receive the reserve capacity analysis instruction, according to the real-time running data of described reserve capacity analysis instruction from electrical network EMS system acquisition electrical network, described real-time running data comprises the Real-time Power Flow service data of real-time power output, power output threshold value and the electrical network of the generating set that respectively puts into operation;
Determine respectively the peak power output allowance of each described generating set that puts into operation according to described real-time power output and power output limit value, and determine the regulating power for subsequent use of each the described generating set that puts into operation under each Preset Time yardstick according to described peak power output allowance and default creep speed threshold value;
Determine respectively each described generating set maximum output adjustment threshold value under current Net Frame of Electric Network architectural limitation that puts into operation of corresponding each described time scale according to the Power grid structure data of described Real-time Power Flow service data and in advance acquisition;
Regulating power for subsequent use and corresponding maximum output according to correspondence are adjusted the adjusted value of exerting oneself that threshold value is determined respectively each described generating set that puts into operation of corresponding each described time scale;
Determine maximum marginal capacity and the minimum marginal capacity of the electrical network under the corresponding described time scale according to each described adjusted value of exerting oneself.
A kind of electrical network reserve capacity analytical system comprises:
The command reception unit is used for receiving the reserve capacity analysis instruction;
Data capture unit, be used for according to the real-time running data of described reserve capacity analysis instruction from electrical network EMS system acquisition electrical network, described real-time running data comprises the Real-time Power Flow service data of real-time power output, power output threshold value and the electrical network of the generating set that respectively puts into operation;
The first determining unit, be used for determining respectively the peak power output allowance of each described generating set that puts into operation according to described real-time power output and power output limit value, and determine the regulating power for subsequent use of each the described generating set that puts into operation under each Preset Time yardstick according to described peak power output allowance and default creep speed threshold value;
The second determining unit is adjusted threshold value for each described generating set maximum output under current Net Frame of Electric Network architectural limitation that puts into operation of determining respectively corresponding each described time scale according to the Power grid structure data of described Real-time Power Flow service data and in advance acquisition;
The adjusted value determining unit of exerting oneself is used for adjusting the adjusted value of exerting oneself that threshold value is determined respectively each described generating set that puts into operation of corresponding each described time scale according to regulating power for subsequent use and the corresponding maximum output of correspondence;
Electrical network reserve capacity determining unit is for maximum marginal capacity and the minimum marginal capacity of determining the electrical network under the corresponding described time scale according to each described adjusted value of exerting oneself.
According to the present invention program, it receives the reserve capacity analysis instruction, and based on this analysis instruction from electrical network EMS system obtain respectively the to put into operation real-time power output of generating set, the Real-time Power Flow service data of power output threshold value and electrical network, can determine respectively according to real-time power output and power output limit value the peak power output allowance of each described generating set that puts into operation, and determine the regulating power for subsequent use of each the described generating set that puts into operation under the Preset Time yardstick according to peak power output allowance and default creep speed threshold value, the Power grid structure data of can also be according to the Real-time Power Flow service data and obtaining in advance determine that respectively each the described generating set maximum output under current Net Frame of Electric Network architectural limitation that puts into operation under the corresponding described time scale adjusts threshold value, adjust the respectively adjusted value of exerting oneself of definite generating set that respectively puts into operation of threshold value according to regulating power for subsequent use and maximum output again, determine maximum marginal capacity and the minimum marginal capacity of the electrical network under the corresponding described time scale according to the adjusted value of respectively exerting oneself, because real-time power output, the Real-time Power Flow service data of power output threshold value and electrical network can acquire from electrical network EMS system, obtaining of data is real-time and convenient, and, the real-time running data that obtains in the electrical network EMS system is focused on, also greatly improved analysis efficiency, and the analysis result that obtains is accurate, in real time.
Description of drawings
Fig. 1 is the schematic flow sheet of network load density analysis method embodiment of the present invention;
Fig. 2 is the IEEE 9 node modular system structural representations of the concrete example 1 of network load density analysis method of the present invention;
Fig. 3 is the structural representation of network load density Analysis System embodiment of the present invention.
Embodiment
Below in conjunction with preferred embodiments wherein the present invention program is carried out illustrated in greater detail, but embodiments of the present invention are not limited to this.In following explanation, the embodiment for electrical network reserve capacity analytical method of the present invention describes first, and the embodiment for electrical network reserve capacity analytical system of the present invention describes again.
The schematic flow sheet of electrical network reserve capacity analytical method embodiment of the present invention has been shown among Fig. 1.As shown in Figure 1, the electrical network reserve capacity analytical method in the present embodiment comprises step:
Step S101: receive the reserve capacity analysis instruction, according to the real-time running data of described reserve capacity analysis instruction from electrical network EMS system acquisition electrical network, described real-time running data comprises the real-time power output P of the generating set that respectively puts into operation
Ireal, power output threshold value L
PiAnd the Real-time Power Flow service data of electrical network, wherein, the mode that obtains the real-time running data of electrical network from electrical network EMS system can adopt existing mode, does not repeat them here;
Step S102: according to described real-time power output P
IrealWith power output limit value difference L
PiDetermine the peak power output allowance P of each described generating set that puts into operation
Oireal, and according to the peak power output allowance of correspondence and the creep speed threshold value L that presets
GrateiDetermine the regulating power P for subsequent use of each the described generating set that puts into operation under each Preset Time yardstick
Adji, wherein, P
Oireal=L
Pi-P
Ireali, in the subscript i be used for demarcating the different generating sets that puts into operation,
Subscript j is used for demarcating different time scales, time scale can set to satisfy different needs according to actual conditions, for the electrical network reserve capacity of transmitting more segmentation to the user to be used for improving power grid security, stable, high-quality operation, general time scale can comprise second grade, a minute level, hour level, wherein the size of second grade, minute level, hour level can be set as required by the user, and for example, a second level is 30 seconds, minute level is 15 minutes, and hour level is 1 hour;
Step S103: each described generating set maximum output under current Net Frame of Electric Network architectural limitation that puts into operation of determining respectively corresponding each described time scale according to the Power grid structure data of described Real-time Power Flow service data and in advance acquisition is adjusted threshold value Δ P
Neti
Step S104: according to the regulating power P for subsequent use of correspondence
AdjiAnd maximum output is adjusted threshold value Δ P
NetjiDetermine respectively the adjusted value P that exerts oneself of each the described generating set that puts into operation under the corresponding described time scale
Acji, wherein, P
Actji=min{P
Adji, Δ P
Netji;
Step S105: according to the adjusted value P that exerts oneself of each described generating set that puts into operation
ActiDetermine the maximum marginal capacity P of the electrical network under the corresponding described time scale
SysmaxjWith minimum marginal capacity P
Sysminj, wherein,
Wherein, n is the quantity of generating set of putting into operation.
Wherein, the computational process that the regulating power for subsequent use of the generating set that respectively puts into operation in the above-mentioned steps, maximum output are adjusted threshold value can be not adopt above-mentioned sequencing, can carry out simultaneously.
Accordingly, according to the scheme in the present embodiment, it receives the reserve capacity analysis instruction, and based on this analysis instruction from electrical network EMS system obtain respectively the to put into operation real-time power output of generating set, the Real-time Power Flow service data of power output threshold value and electrical network, can determine respectively according to real-time power output and power output limit value the peak power output allowance of each described generating set that puts into operation, and determine the regulating power for subsequent use of each the described generating set that puts into operation under the Preset Time yardstick according to peak power output allowance and default creep speed threshold value, the Power grid structure data of can also be according to the Real-time Power Flow service data and obtaining in advance determine that respectively each the described generating set maximum output under current Net Frame of Electric Network architectural limitation that puts into operation under the corresponding described time scale adjusts threshold value, adjust the respectively adjusted value of exerting oneself of definite generating set that respectively puts into operation of threshold value according to regulating power for subsequent use and maximum output again, determine maximum marginal capacity and the minimum marginal capacity of the electrical network under the corresponding described time scale according to the adjusted value of respectively exerting oneself, because real-time power output, the Real-time Power Flow service data of power output threshold value and electrical network can acquire from electrical network EMS system, obtaining of data is real-time and convenient, and, the real-time running data that obtains in the electrical network EMS system is focused on, also greatly improved analysis efficiency, and the analysis result that obtains is accurate, in real time, can heighten dispatching of power netwoks control personnel for the control level of electrical network reserve capacity.
After the maximum marginal capacity that obtains electrical network and minimum marginal capacity, check and graphically displaying for user friendly, after above-mentioned steps S105, can also comprise step:
Step S106: with different color mark different time yardsticks, for example, represent a second level, red representative minute level, green representative hour level with blueness;
Step S107: show the maximum marginal capacity according to electrical network under each described time scale, the size of minimum marginal capacity and color mark form the maximum marginal capacity block diagram of electrical network, the minimum marginal capacity block diagram of electrical network, perhaps/and show according to the size of the regulating power for subsequent use of each the described generating set that puts into operation under each described time scale and the regulating power block diagram for subsequent use of the generating set that puts into operation that the color mark generates, wherein, be presented at the maximum marginal capacity block diagram of electrical network, in the time of the minimum marginal capacity block diagram of electrical network, the adjusted value of exerting oneself that also shows each the described generating set that puts into operation under each time scale can be so that user's (mainly being dispatching of power netwoks control personnel) intuitively understands the adjustment situation of exerting oneself of each the described generating set that puts into operation under each time scale.
In addition, distinguish more intuitively the generating set that respectively puts into operation for the ease of the user, can also in conjunction with network topology or geographical actual distribution figure, namely show the regulating power block diagram for subsequent use of the generating set that respectively puts into operation according to the actual distribution figure of the topological structure of electric figure/generating set that puts into operation.
Because, minute level, the moment of hour level correspondence is constantly following with respect to current time, following constantly network load may change with respect to the network load of current time, therefore, to analyze the electrical network reserve capacity obtain more accurate in order to make, when predicting the electrical network bus load of following electrical network bus load constantly with respect to current time and change, the Power grid structure data that then predict the outcome according to the electrical network bus load and obtain in advance adopt respectively each described generating set maximum output under the Net Frame of Electric Network architectural limitation that puts into operation of the corresponding time scale of trend calculative determination to adjust threshold value, whether prediction electrical network bus load changes and can adopt existing mode, does not repeat them here.Simultaneously, in order further to improve the accuracy of electrical network reserve capacity, when calculating the maximum reserve capacity of electrical network, priority allocation is for subsequent use at a slow speed; When calculating the minimum reserve capacity of electrical network, priority allocation is for subsequent use fast.
For the ease of understanding the invention described above scheme, below be elaborated with regard to two concrete examples.Need to prove that following each concrete example does not consist of the restriction to the present invention program.
Concrete example 1
As shown in Figure 2, this example as example, is showed implementation of the present invention with IEEE 9 node modular systems.LoadA, LoadB, LoadC represent 3 load centers among Fig. 2, need respectively Gen1, Gen2, these three generating sets of Gen3 to be its power supply.The generating set power output at node 1, node 2, node 3 places is 100MW at this moment, export-restriction is 150MW, and wherein A unit creep speed is restricted to 10MW/min, wherein, B unit creep speed is restricted to 5MW/min, and C unit creep speed is restricted to 1MW/min.The load power at LoadA, LoadB, LoadC place is respectively 70MW, 100MW, 130MW.It is 30MW that the delivering power of this moment is distributed as circuit 7-5, and circuit 7-8 is 70MW, and circuit 9-8 is 60MW, and circuit 9-6 is 40MW, and circuit 6-1 is 60MW, and circuit 1-4 is 40MW.Then the computing formula according to aforementioned schemes can obtain P
Olreal=P
O2real=P
O3real=50MW.The regulating power for subsequent use that obtains owing to the creep speed restriction for each generating set under the different time yardstick is: under second level, the T=30s, and P
Ad11=5MW, P
Ad12=2.5MW, P
Ad13=0.5MW; Under minute level, T=15 minute, P
Ad21=50MW, P
Ad22=50MW, P
Ad23=15MW; Under hour level, T=1 hour, P
Ad31=50MW, P
Ad32=50MW, P
Ad33=50MW.Be that hypothesis electrical network bus load remains unchanged in this example, calculate the total value of exerting oneself that obtains three generating sets in the situation that the trend obstruction do not occur by trend and be 140MW to the maximum that minimum value is 125MW within following 1 hour time period.The reserve capacity of the electrical network that then finally obtains in this example in following 30 seconds is maximum, minimum value is 8MW, lower system reserve capacity was maximum in following 15 minutes, minimum value is 115MW, following 1 hour lower system reserve capacity is 140MW to the maximum, minimum value is 125MW, and the process of calculating about trend does not repeat them here.
Concrete example 2
The difference of this example and example 1 is that system is: dope following 15 minutes and 1 hour constantly the network load at place be different from the preload of working as of electrical network in the example 1.For example, the network load load value that predicts the outcome and locate in 15 minutes following: LoadA is 90MW, and LoadB is 90MW, and LoadC is 140MW.The load value of locating in 1 hour in future: LoadA is 85MW, and LoadB is 105MW, and LoadC is 140MW.Then system is at total generated output 320MW of following 15 minutes place need in this example, and total generated output that the place will need 1 hour future is 330MW.Because the load level at LoadA, LoadB, LoadC place was located to locate with respect to current state variation to have occured with 1 hour at following 15 minutes, therefore need to rerun flow calculation program and calculate each described generating set maximum output adjustment threshold value under the Net Frame of Electric Network architectural limitation that puts into operation.For subsequent use to keep quick reserve capacity at a slow speed according to priority allocation during the maximum reserve capacity value of computing system in this example, the 20MW reserve capacity that increases is preferentially born 15MW (the rate of change restriction maximum of 1MW/min is born the 15MW increment) by generating set C, because line construction limits (Net Frame of Electric Network architectural limitation), final generating set C bears 12MW simultaneously.Remaining system increment is born by generating set B.When the minimum reserve capacity of computing system, preferentially system loading is changed by quick for subsequent use bearing, then the A generating set is born the 20MW increment that increases.The reserve capacity of electrical network in following 30 seconds is maximum, minimum value is 8MW, and following 15 minutes lower system reserve capacity maximums are that 115MW, minimum value are 108MW.The following electrical network reserve capacity computational process of locating in 1 hour is identical therewith, just 1 hour time scale in this example not as 15 minutes yardsticks so that generating set power output rate of change limit value plays effect of contraction.The adjustment total value of exerting oneself that calculates three generating sets of system by flow calculation program is 105MW to the maximum, and minimum is 95MW.Then system will locate system reserve capacity in following 1 hour and be 105MW to the maximum, and minimum value is 95MW.
According to the electrical network reserve capacity analytical method of the invention described above, the present invention also provides a kind of electrical network reserve capacity analytical system, below just the embodiment of electrical network reserve capacity analytical system of the present invention is elaborated.
The structural representation of electrical network reserve capacity analytical system embodiment of the present invention has been shown among Fig. 3.As shown in Figure 3, the electrical network reserve capacity analytical system in the present embodiment comprises:
The first determining unit 303 is used for according to described real-time power output P
IrealWith power output limit value difference L
PiDetermine the peak power output allowance P of each described generating set that puts into operation
Oireal, and according to the peak power output allowance of correspondence and the creep speed threshold value L that presets
GrateiDetermine the regulating power P for subsequent use of each the described generating set that puts into operation under each Preset Time yardstick
Adji, wherein, P
Oireal=L
Pi-P
Ireali, in the subscript i be used for demarcating the different generating sets that puts into operation,
Subscript j is used for demarcating different time scales, time scale can set to satisfy different needs according to actual conditions, for the electrical network reserve capacity of transmitting more segmentation to the user to be used for improving power grid security, stable, high-quality operation, general time scale can comprise second grade, a minute level, hour level, wherein the size of second grade, minute level, hour level can be set as required by the user, and for example, a second level is 30 seconds, minute level is 15 minutes, and hour level is 1 hour;
The second determining unit 304 determines respectively that according to the Power grid structure data of described Real-time Power Flow service data and in advance acquisition each described generating set maximum output under current Net Frame of Electric Network architectural limitation that puts into operation of corresponding each described time scale is adjusted threshold value Δ P
Neti
The adjusted value determining unit 305 of exerting oneself is used for the regulating power P for subsequent use according to correspondence
AdjiAnd maximum output is adjusted threshold value Δ P
NetjiDetermine respectively the adjusted value P that exerts oneself of each the described generating set that puts into operation under the corresponding described time scale
Acji, wherein, P
Actji=min{P
Adji, Δ P
Netji;
Electrical network reserve capacity determining unit 306 is according to the adjusted value P that exerts oneself of each described generating set that puts into operation
ActiDetermine the maximum marginal capacity P of the electrical network under the corresponding described time scale
SysmaxjWith minimum marginal capacity P
Sysminj, wherein,
Wherein, n is the quantity of generating set of putting into operation.
Accordingly, according to the scheme in the present embodiment, command reception unit 301 receives the reserve capacity analysis instruction, data capture unit 302 according to this reserve capacity analysis instruction from electrical network EMS system obtain respectively the to put into operation real-time power output of generating set, the Real-time Power Flow service data of power output threshold value and electrical network, the first determining unit 303, can determine respectively according to real-time power output and power output limit value the peak power output allowance of each described generating set that puts into operation, and determine the regulating power for subsequent use of each the described generating set that puts into operation under the Preset Time yardstick according to peak power output allowance and creep speed threshold value, the second determining unit 304 can be according to described Real-time Power Flow service data and the Power grid structure data that obtain in advance determine that respectively each the described generating set maximum output under current Net Frame of Electric Network architectural limitation that puts into operation under the corresponding described time scale adjusts threshold value, the adjusted value determining unit 305 of exerting oneself is adjusted the adjusted value of exerting oneself that threshold value is determined respectively each the described generating set that puts into operation under the corresponding described time scale according to regulating power for subsequent use and maximum output, electrical network reserve capacity determining unit 306 is determined maximum marginal capacity and the minimum marginal capacity of the electrical network under the corresponding described time scale according to the adjusted value of exerting oneself of each described generating set that puts into operation, because real-time power output, the Real-time Power Flow service data of power output threshold value and electrical network can acquire from electrical network EMS system, obtaining of data is real-time and convenient, and, the real-time running data that obtains in the electrical network EMS system is focused on, also greatly improved analysis efficiency, and the analysis result that obtains is accurate, in real time.
After the maximum marginal capacity that obtains electrical network and minimum marginal capacity, check and graphically displaying for user friendly, in electrical network reserve capacity analytical system of the present invention, can also include:
Mark unit 307 is used for for example, representing a second level, red representative minute level, green representative hour level with blueness with different color mark different time yardsticks;
Block diagram generation unit 308, be used for forming the maximum marginal capacity block diagram of electrical network, the minimum marginal capacity block diagram of electrical network according to size and the color mark of the maximum marginal capacity of electrical network under each described time scale, minimum marginal capacity, perhaps/and according to the size of the regulating power for subsequent use of each the described generating set that puts into operation under each described time scale and the regulating power block diagram for subsequent use of the generating set that puts into operation that the color mark generates;
In addition, distinguish more intuitively the generating set that respectively puts into operation for the ease of the user, can also be in conjunction with network topology or geographical actual distribution figure, namely display unit 309 can also show according to the actual distribution figure of the topological structure of electric figure/generating set that puts into operation the regulating power block diagram for subsequent use of the generating set that puts into operation.
Because, minute level, the moment of hour level correspondence is constantly following with respect to current time, following constantly network load may change with respect to the network load of current time, therefore, to analyze the electrical network reserve capacity obtain more accurate in order to make, electrical network reserve capacity analytical system of the present invention can also comprise predicting unit 310, whether be used for predict future electrical network bus load constantly changes with respect to the electrical network bus load of current time, and generation forecast result, whether prediction electrical network bus load changes and can adopt existing mode, does not repeat them here; Accordingly, the second determining unit 304 can also adopt respectively each described generating set maximum output under the Net Frame of Electric Network architectural limitation that puts into operation of the corresponding time scale of trend calculative determination to adjust threshold value for the Power grid structure data that predict the outcome according to the electrical network bus load and obtain in advance.Simultaneously, in order further to improve the accuracy of electrical network reserve capacity, electrical network reserve capacity determining unit 306 is when calculating the maximum reserve capacity of electrical network, and priority allocation is for subsequent use at a slow speed, electrical network reserve capacity determining unit 306 is when calculating the minimum reserve capacity of electrical network, and priority allocation is for subsequent use fast.
As shown in Figure 3, the present invention program is when carrying out the analysis of load density, and relevant electrical network real-time running data can obtain directly to obtain from electrical network EMS system.In another embodiment, electrical network reserve capacity analytical system of the present invention can also be to comprise the electrical network EMS system that is connected with data capture unit 302.
The above embodiment has only expressed several execution mode of the present invention, and it describes comparatively concrete and detailed, but can not therefore be interpreted as the restriction to claim of the present invention.Should be pointed out that for the person of ordinary skill of the art without departing from the inventive concept of the premise, can also make some distortion and improvement, these all belong to protection scope of the present invention.Therefore, the protection range of patent of the present invention should be as the criterion with claims.
Claims (10)
1. an electrical network reserve capacity analytical method is characterized in that, comprises the steps:
Receive the reserve capacity analysis instruction, according to the real-time running data of described reserve capacity analysis instruction from electrical network EMS system acquisition electrical network, described real-time running data comprises the Real-time Power Flow service data of real-time power output, power output threshold value and the electrical network of the generating set that respectively puts into operation;
Determine respectively the peak power output allowance of each described generating set that puts into operation according to described real-time power output and power output limit value, and determine the regulating power for subsequent use of each the described generating set that puts into operation under each Preset Time yardstick according to described peak power output allowance and default creep speed threshold value;
Determine respectively each described generating set maximum output adjustment threshold value under current Net Frame of Electric Network architectural limitation that puts into operation of corresponding each described time scale according to the Power grid structure data of described Real-time Power Flow service data and in advance acquisition;
Regulating power for subsequent use and corresponding maximum output according to correspondence are adjusted the adjusted value of exerting oneself that threshold value is determined respectively each described generating set that puts into operation of corresponding each described time scale;
Determine maximum marginal capacity and the minimum marginal capacity of the electrical network under the corresponding described time scale according to each described adjusted value of exerting oneself.
2. electrical network reserve capacity analytical method according to claim 1 is characterized in that, also comprises step:
With different color mark different time yardsticks;
The maximum marginal capacity block diagram of the electrical network that demonstration generates according to the size of the maximum marginal capacity of electrical network under each described time scale, minimum marginal capacity and color mark, the minimum marginal capacity block diagram of electrical network, perhaps/and show according to the size of the regulating power for subsequent use of each the described generating set that puts into operation under each described time scale and the regulating power block diagram for subsequent use of the generating set that respectively puts into operation that the color mark generates.
3. electrical network reserve capacity analytical method according to claim 2 is characterized in that, shows described regulating power block diagram for subsequent use according to the actual distribution figure of the topological structure of electric figure/generating set that puts into operation.
4. according to claim 1 to one of 3 described electrical network reserve capacity analytical methods, it is characterized in that, also comprise step:
When predicting the electrical network bus load of following electrical network bus load constantly with respect to current time and change, predict the outcome and each described generating set maximum output under the Net Frame of Electric Network architectural limitation that puts into operation of the corresponding time scale of Power grid structure the data trend calculative determination that obtains is in advance adjusted threshold value according to the electrical network bus load.
5. described electrical network reserve capacity analytical method according to claim 4 is characterized in that, also comprises step: when calculating the maximum reserve capacity of electrical network, priority allocation is for subsequent use at a slow speed; When calculating the minimum reserve capacity of electrical network, priority allocation is for subsequent use fast.
6. an electrical network reserve capacity analytical system is characterized in that, comprising:
The command reception unit is used for receiving the reserve capacity analysis instruction;
Data capture unit, be used for according to the real-time running data of described reserve capacity analysis instruction from electrical network EMS system acquisition electrical network, described real-time running data comprises the Real-time Power Flow service data of real-time power output, power output threshold value and the electrical network of the generating set that respectively puts into operation;
The first determining unit, be used for determining respectively the peak power output allowance of each described generating set that puts into operation according to described real-time power output and power output limit value, and determine the regulating power for subsequent use of each the described generating set that puts into operation under each Preset Time yardstick according to described peak power output allowance and default creep speed threshold value;
The second determining unit is adjusted threshold value for each described generating set maximum output under current Net Frame of Electric Network architectural limitation that puts into operation of determining respectively corresponding each described time scale according to the Power grid structure data of described Real-time Power Flow service data and in advance acquisition;
The adjusted value determining unit of exerting oneself is used for adjusting the adjusted value of exerting oneself that threshold value is determined respectively each described generating set that puts into operation of corresponding each described time scale according to regulating power for subsequent use and the corresponding maximum output of correspondence;
Electrical network reserve capacity determining unit is for maximum marginal capacity and the minimum marginal capacity of determining the electrical network under the corresponding described time scale according to each described adjusted value of exerting oneself.
7. electrical network reserve capacity analytical system according to claim 6 is characterized in that, also comprises:
The mark unit is used for different color mark different time yardsticks;
The block diagram generation unit, be used for to show the maximum marginal capacity block diagram of the electrical network that size and color mark according to the maximum marginal capacity of electrical network under each described time scale, minimum marginal capacity generate, the minimum marginal capacity block diagram of electrical network, perhaps/and show according to the size of the regulating power for subsequent use of each the described generating set that puts into operation under each described time scale and the regulating power block diagram for subsequent use of the generating set that respectively puts into operation that the color mark generates;
Display unit, be used for described maximum marginal capacity block diagram, described minimum marginal capacity block diagram, described regulating power block diagram for subsequent use, perhaps/and display unit be used for showing according to the actual distribution figure of the topological structure of electric figure/generating set that puts into operation the regulating power block diagram for subsequent use of the generating set that puts into operation.
8. it is characterized in that according to claim 6 or 7 described electrical network reserve capacity analytical systems:
Also comprise predicting unit, be used for predict future electrical network bus load constantly and whether change with respect to the electrical network bus load of current time, and the generation forecast result;
The second determining unit also adopts respectively each described generating set maximum output under the Net Frame of Electric Network architectural limitation that puts into operation of the corresponding time scale of trend calculative determination to adjust threshold value for the Power grid structure data that predict the outcome according to the electrical network bus load and obtain in advance.
9. described electrical network reserve capacity analytical system according to claim 8 is characterized in that, described electrical network reserve capacity determining unit, and when calculating the maximum reserve capacity of electrical network, priority allocation is for subsequent use at a slow speed; When calculating the minimum reserve capacity of electrical network, priority allocation is for subsequent use fast.
10. according to claim 6 or 7 described electrical network reserve capacity analytical systems, it is characterized in that, also comprise the electrical network EMS system that is connected with described data capture unit.
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CN201210485156.4A CN103023019B (en) | 2012-09-29 | 2012-11-23 | Method and system for analyzing reserve capacity of power grid |
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CN103746384A (en) * | 2014-01-29 | 2014-04-23 | 广东电网公司电力科学研究院 | Electrical load dispatching control method and system thereof |
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CN108647876A (en) * | 2018-05-07 | 2018-10-12 | 南京邮电大学 | A kind of method of the spare supply capacity of quantitative evaluation operation of power networks |
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CN103824230A (en) * | 2013-11-25 | 2014-05-28 | 南京南瑞集团公司 | System accident reserve capacity coordination distribution method based on risk quantization |
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CN103746384A (en) * | 2014-01-29 | 2014-04-23 | 广东电网公司电力科学研究院 | Electrical load dispatching control method and system thereof |
CN103746384B (en) * | 2014-01-29 | 2015-11-18 | 广东电网公司电力科学研究院 | Electric load dispatch control method and system thereof |
CN108647876A (en) * | 2018-05-07 | 2018-10-12 | 南京邮电大学 | A kind of method of the spare supply capacity of quantitative evaluation operation of power networks |
CN113300416A (en) * | 2021-07-07 | 2021-08-24 | 广东电网有限责任公司 | Power grid standby capacity configuration method, system, equipment and computer medium |
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