CN103023019B - Method and system for analyzing reserve capacity of power grid - Google Patents

Method and system for analyzing reserve capacity of power grid Download PDF

Info

Publication number
CN103023019B
CN103023019B CN201210485156.4A CN201210485156A CN103023019B CN 103023019 B CN103023019 B CN 103023019B CN 201210485156 A CN201210485156 A CN 201210485156A CN 103023019 B CN103023019 B CN 103023019B
Authority
CN
China
Prior art keywords
electrical network
power
generating set
time
capacity
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201210485156.4A
Other languages
Chinese (zh)
Other versions
CN103023019A (en
Inventor
刘嘉宁
李普明
鲁跃峰
占才亮
李博
孟子杰
钟金
梁亮
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Electric Power Dispatch Control Center of Guangdong Power Grid Co Ltd
Original Assignee
Electric Power Dispatch Control Center of Guangdong Power Grid Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Electric Power Dispatch Control Center of Guangdong Power Grid Co Ltd filed Critical Electric Power Dispatch Control Center of Guangdong Power Grid Co Ltd
Priority to CN201210485156.4A priority Critical patent/CN103023019B/en
Publication of CN103023019A publication Critical patent/CN103023019A/en
Application granted granted Critical
Publication of CN103023019B publication Critical patent/CN103023019B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Landscapes

  • Supply And Distribution Of Alternating Current (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

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

Reserve capacity of power grid analytical method and system
Technical field
The present invention relates to electric power network technique field, particularly a kind of reserve capacity of power grid analytical method, a kind of reserve capacity of power grid analytical system.
Background technology
The analysis of reserve capacity of power grid is that dispatching of power netwoks controllers maintains one of important regulating and controlling means of electric power netting safe running, runs play an important role for raising power grid security, stable, high-quality.At present along with EMS system (EMS) to comprise the improvement day by day of function in the extensive use of dispatching of power netwoks control field and EMS system institute, dispatching of power netwoks controllers obtains the mass data of sign operation of power networks information by EMS system.How intuitively can characterize operation of power networks state in the operation of power networks extracting data of magnanimity and characterize the local data that current electric grid scheduling operation personnel are concerned about and become problem demanding prompt solution.
On the other hand, the live load of dispatching of power netwoks controllers becomes day by day heavy along with the continuous expansion of electric network composition.Complicated electric network composition makes faced by dispatching of power netwoks controllers needs, processes complicated situation more.Reserve capacity of power grid is the important regulating and controlling means that dispatching of power netwoks controllers maintains power network safety operation as the back-up machine pool-size accepting system call controllers instruction operation.Therefore the reserve capacity of power grid of how more accurate to the transmission of dispatching of power netwoks controllers, segmentation seems become more and more important for raising power grid security, stable, high-quality operation.
Summary of the invention
For above-mentioned problems of the prior art, the object of the present invention is to provide a kind of reserve capacity of power grid analytical method, another object of the present invention is to provide a kind of reserve capacity of power grid analytical system, its analysis result obtained 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 reserve capacity of power grid analytical method, comprises step:
Receive reserve capacity analysis instruction, obtain the real-time running data of electrical network from electrical network EMS system according to described reserve capacity analysis instruction, described real-time running data comprises the Real-time Power Flow service data of the real-time power output of the generating set that respectively puts into operation, power output threshold value and electrical network;
According to described real-time power output and power output threshold value determine respectively each described in put into operation the peak power output allowance of generating set, and the regulating power for subsequent use of the generating set that puts into operation described in determine under each Preset Time yardstick each according to described peak power output allowance and the creep speed threshold value preset;
According to described Real-time Power Flow service data and the Power grid structure data that obtain in advance determine respectively corresponding each described time scale each described in put into operation the maximum output adjustment threshold value of generating set under the restriction of current electric grid rack framework;
According to the maximum output adjustment threshold value of the regulating power for subsequent use of correspondence and correspondence determine respectively corresponding each described time scale each described in put into operation the adjusted value of exerting oneself of generating set;
The maximum marginal capacity of the electrical network under corresponding described time scale and minimum marginal capacity is determined according to adjusted value of exerting oneself described in each.
A kind of reserve capacity of power grid analytical system, comprising:
Instruction reception unit, for receiving reserve capacity analysis instruction;
Data capture unit, for obtaining the real-time running data of electrical network from electrical network EMS system according to described reserve capacity analysis instruction, described real-time running data comprises the Real-time Power Flow service data of the real-time power output of the generating set that respectively puts into operation, power output threshold value and electrical network;
First determining unit, for determine respectively according to described real-time power output and power output threshold value each described in put into operation the peak power output allowance of generating set, and the regulating power for subsequent use of the generating set that puts into operation described in determine under each Preset Time yardstick each according to described peak power output allowance and the creep speed threshold value preset;
Second determining unit, for determine respectively according to described Real-time Power Flow service data and the Power grid structure data that obtain in advance corresponding each described time scale each described in put into operation the maximum output adjustment threshold value of generating set under the restriction of current electric grid rack framework;
To exert oneself adjusted value determining unit, for determine respectively according to the regulating power for subsequent use of correspondence and the maximum output adjustment threshold value of correspondence corresponding each described time scale each described in put into operation the adjusted value of exerting oneself of generating set;
Reserve capacity of power grid determining unit, for determining the maximum marginal capacity of the electrical network under corresponding described time scale and minimum marginal capacity according to adjusted value of exerting oneself described in each.
According to the present invention program, it receives reserve capacity analysis instruction, and obtain the real-time power output of the generating set that respectively puts into operation from electrical network EMS system based on this analysis instruction, the Real-time Power Flow service data of power output threshold value and electrical network, can according to real-time power output and power output threshold value determine respectively each described in put into operation the peak power output allowance of generating set, and according to the regulating power for subsequent use of generating set of putting into operation described in each under peak power output allowance and the creep speed threshold value determination Preset Time yardstick preset, can also be put into operation described according to Real-time Power Flow service data and the Power grid structure obtained in advance data, to determine under corresponding described time scale respectively each the maximum output adjustment threshold value of generating set under the restriction of current electric grid rack framework, to determine respectively respectively to put into operation according to regulating power for subsequent use and maximum output adjustment threshold value again the adjusted value of exerting oneself of generating set, the maximum marginal capacity of the electrical network under corresponding described time scale and minimum marginal capacity is determined according to adjusted value of respectively exerting oneself, due to 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, the acquisition of data is real-time and convenient, and, the real-time running data obtained in electrical network EMS system is focused on, also analysis efficiency is substantially increased, and the analysis result obtained is accurate, in real time.
Accompanying drawing explanation
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 representation 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 better embodiment wherein, illustrated in greater detail is carried out to the present invention program, but embodiments of the present invention are not limited thereto.In the following description, the embodiment first for reserve capacity of power grid analytical method of the present invention is described, then is described for the embodiment of reserve capacity of power grid analytical system of the present invention.
The schematic flow sheet of reserve capacity of power grid analytical method embodiment of the present invention has been shown in Fig. 1.As shown in Figure 1, the reserve capacity of power grid analytical method in the present embodiment comprises step:
Step S101: receive reserve capacity analysis instruction, obtain the real-time running data of electrical network from electrical network EMS system according to described reserve capacity analysis instruction, 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 obtaining 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 threshold value L pidetermine respectively each described in put into operation the peak power output allowance P of generating set oireal, and according to the peak power output allowance of correspondence and the creep speed threshold value L that presets grateiput into operation described in determine under each Preset Time yardstick each the regulating power P for subsequent use of generating set adji, wherein, P oireal=L pi-P ireali, in subscript i be used for demarcate the different generating set that puts into operation, subscript j is for demarcating different time scales, time scale can according to actual conditions setting to meet different needs, run for raising power grid security, stable, high-quality to transmit the reserve capacity of power grid more segmented to user, general time scale can comprise level second, minute level, hour level, wherein second level, minute level, hour level size can be set as required by user, such as, second, level was 30 seconds, minute level is 15 minutes, and hour level is 1 hour;
Step S103: according to described Real-time Power Flow service data and the Power grid structure data that obtain in advance determine respectively corresponding each described time scale each described in put into operation the maximum output adjustment threshold value Δ P of generating set under the restriction of current electric grid rack framework neti;
Step S104: according to the regulating power P for subsequent use of correspondence adjiand maximum output adjustment threshold value Δ P netjiput into operation described in determine under corresponding described time scale respectively each the adjusted value P that exerts oneself of generating set acji, wherein, P actji=min{P adji, Δ P netji;
Step S105: according to the adjusted value P that exerts oneself of the generating set that puts into operation described in each actidetermine the maximum marginal capacity P of the electrical network under corresponding described time scale sys max jwith minimum marginal capacity P sys min j, wherein, P sys min j = Σ i n min ( P actij ) , P sys max j = Σ i n max ( P actij ) , Wherein, n is the quantity of generating set of putting into operation.
Wherein, the regulating power for subsequent use of the generating set that respectively puts into operation in above-mentioned steps, the computational process of maximum output adjustment threshold value can be do not adopt above-mentioned sequencing, can carry out simultaneously.
Accordingly, according to the scheme in the present embodiment, it receives reserve capacity analysis instruction, and obtain the real-time power output of the generating set that respectively puts into operation from electrical network EMS system based on this analysis instruction, the Real-time Power Flow service data of power output threshold value and electrical network, can according to real-time power output and power output threshold value determine respectively each described in put into operation the peak power output allowance of generating set, and according to the regulating power for subsequent use of generating set of putting into operation described in each under peak power output allowance and the creep speed threshold value determination Preset Time yardstick preset, can also be put into operation described according to Real-time Power Flow service data and the Power grid structure obtained in advance data, to determine under corresponding described time scale respectively each the maximum output adjustment threshold value of generating set under the restriction of current electric grid rack framework, to determine respectively respectively to put into operation according to regulating power for subsequent use and maximum output adjustment threshold value again the adjusted value of exerting oneself of generating set, the maximum marginal capacity of the electrical network under corresponding described time scale and minimum marginal capacity is determined according to adjusted value of respectively exerting oneself, due to 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, the acquisition of data is real-time and convenient, and, the real-time running data obtained in electrical network EMS system is focused on, also analysis efficiency is substantially increased, and the analysis result obtained is accurate, in real time, the level of control of dispatching of power netwoks controllers for reserve capacity of power grid can be heightened.
After the maximum marginal capacity obtaining electrical network and minimum marginal capacity, conveniently the checking and graphical representation of user, after above-mentioned steps S105, can also comprise step:
Step S106: with different colors mark Different time scales, such as, represents level second, 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, or show the regulating power block diagram for subsequent use of the generating set that puts into operation generated according to size and the color mark of the regulating power for subsequent use of the generating set that puts into operation described in each under each described time scale, wherein, be presented at the maximum marginal capacity block diagram of electrical network, while the minimum marginal capacity block diagram of electrical network, put into operation described in also to show under each time scale each the adjusted value of exerting oneself of generating set, can so that user's (mainly dispatching of power netwoks controllers) puts into operation described in intuitively to understand under each time scale each the adjustment situation of exerting oneself of generating set.
In addition, the generating set that respectively puts into operation is distinguished more intuitively for the ease of user, in conjunction with network topology or geographical actual distribution figure, namely can also 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.
Due to, minute level, the moment of hour level correspondence is the future time instance relative to current time, future time instance network load may change relative to the network load of current time, therefore, the reserve capacity of power grid obtained to make analysis is more accurate, when the electrical network bus load predicting future time instance changes relative to the electrical network bus load of current time, the Power grid structure data then predicted the outcome according to electrical network bus load and obtain in advance adopt respectively Load flow calculation determine corresponding time scale each described in put into operation generating set Net Frame of Electric Network framework restriction under maximum output adjustment threshold value, whether prediction electrical network bus load changes and can adopt existing mode, do not repeat them here.Meanwhile, in order to improve the accuracy of reserve capacity of power grid further, 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, be described in detail with regard to two concrete examples below.It should be noted that, following each concrete example does not form the restriction to the present invention program.
Concrete example 1
As shown in Figure 2, this example, using IEEE 9 node modular system as example, shows implementation of the present invention.In Fig. 2, LoadA, LoadB, LoadC represent 3 load centers, need these three generating sets of Gen1, Gen2, Gen3 for its power supply respectively.Now the generating set power output at node 1, node 2, node 3 place is 100MW, 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 delivering power is now 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 P can be obtained according to the computing formula of aforementioned schemes o1real=P o2real=P o3real=50MW.For each generating set under Different time scales because creep speed limits the regulating power for subsequent use obtained be: second level, under T=30s, 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; Hour level, T=1 are at present little, P ad31=50MW, P ad32=50MW, P ad33=50MW.Be that hypothesis electrical network bus load remains unchanged within the time period of following 1 hour in this example, obtain the total value of exerting oneself of three generating sets when not occurring that trend is blocked by Load flow calculation and be 140MW to the maximum, minimum value is 125MW.The reserve capacity of the electrical network then finally obtained in this example in following 30 seconds is maximum, minimum value is 8MW, following 15 minutes lower system reserve capacities are maximum, minimum value is 115MW, following 1 little system reserve capacity is at present 140MW to the maximum, minimum value is 125MW, and the process about Load flow calculation 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 network load that 1 hour moment was located is different from the current loads of the electrical network in example 1.Such as, network load predicts the outcome in the load value at following 15 minutes places: LoadA is 90MW, LoadB be 90MW, LoadC is 140MW.Load value at following 1 hour place: LoadA is 85MW, LoadB be 105MW, LoadC is 140MW.Then system, at total generated output 320MW of following 15 minutes place need, is 330MW at total generated output of following 1 hour place need in this example.Because the load level at LoadA, LoadB, LoadC place there occurs change at following 15 minutes places and 1 hour place relative to current state, therefore need to rerun flow calculation program calculate each described in put into operation the maximum output adjustment threshold value of generating set under the restriction of Net Frame of Electric Network framework.For subsequent use to retain quick reserve capacity at a slow speed according to priority allocation during computing system maximum reserve capacity value in this example, the 20MW reserve capacity of increase is preferentially born 15MW (the rate of change restriction of 1MW/min is maximum bears 15MW increment) by generating set C, simultaneously due to line construction restriction (restriction of Net Frame of Electric Network framework), final generating set C bears 12MW.Remaining system increment is born by generating set B.When the minimum reserve capacity of computing system, preferentially system loading change born by for subsequent use fast, then increased 20MW increment born by A generating set.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 115MW, minimum value is 108MW.The reserve capacity of power grid computational process at following 1 hour place is identical therewith, and just the time scale of 1 hour does not make generating set power output rate of change limit value play effect of contraction as 15 minutes yardsticks in this example.The adjustment total value of exerting oneself being calculated system three generating sets by flow calculation program is 105MW to the maximum, and minimum is 95MW.Then system following 1 hour place's system reserve capacity is 105MW to the maximum, and minimum value is 95MW.
According to the reserve capacity of power grid analytical method of the invention described above, the present invention also provides a kind of reserve capacity of power grid analytical system, is just described in detail to the embodiment of reserve capacity of power grid analytical system of the present invention below.
The structural representation of reserve capacity of power grid analytical system embodiment of the present invention has been shown in Fig. 3.As shown in Figure 3, the reserve capacity of power grid analytical system in the present embodiment comprises:
Instruction reception unit 301, for receiving reserve capacity analysis instruction;
Data capture unit 302, for obtaining the real-time running data of electrical network from electrical network EMS system according to described reserve capacity analysis instruction, 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 obtaining the real-time running data of electrical network from electrical network EMS system can adopt existing mode, does not repeat them here;
First determining unit 303, for according to described real-time power output P irealwith power output threshold value L respectively pidetermine each described in put into operation the peak power output allowance P of generating set oireal, and according to the peak power output allowance of correspondence and the creep speed threshold value L that presets grateiput into operation described in determine under each Preset Time yardstick each the regulating power P for subsequent use of generating set adji, wherein, P oiredl=L pi-P ireali, in subscript i be used for demarcate the different generating set that puts into operation, subscript j is for demarcating different time scales, time scale can according to actual conditions setting to meet different needs, run for raising power grid security, stable, high-quality to transmit the reserve capacity of power grid more segmented to user, general time scale can comprise level second, minute level, hour level, wherein second level, minute level, hour level size can be set as required by user, such as, second, level was 30 seconds, minute level is 15 minutes, and hour level is 1 hour;
Second determining unit 304, according to described Real-time Power Flow service data and the Power grid structure data that obtain in advance determine respectively corresponding each described time scale each described in put into operation the maximum output adjustment threshold value Δ P of generating set under the restriction of current electric grid rack framework neti;
To exert oneself adjusted value determining unit 305, for the regulating power P for subsequent use according to correspondence adjiand maximum output adjustment threshold value Δ P netjiput into operation described in determine under corresponding described time scale respectively each the adjusted value P that exerts oneself of generating set acji, wherein, P actji=min{P adji, Δ P netji;
Reserve capacity of power grid determining unit 306, according to the adjusted value P that exerts oneself of the generating set that puts into operation described in each actidetermine the maximum marginal capacity P of the electrical network under corresponding described time scale sys max jwith minimum marginal capacity P sys min j, wherein, P sys min j = Σ i n min ( P actij ) , P sys max j = Σ i n max ( P actij ) , Wherein, n is the quantity of generating set of putting into operation.
Accordingly, according to the scheme in the present embodiment, instruction reception unit 301 receives reserve capacity analysis instruction, data capture unit 302 obtains the real-time power output of the generating set that respectively puts into operation from electrical network EMS system according to this reserve capacity analysis instruction, the Real-time Power Flow service data of power output threshold value and electrical network, first determining unit 303, can according to real-time power output and power output threshold value determine respectively each described in put into operation the peak power output allowance of generating set, and according to the regulating power for subsequent use of the generating set that puts into operation described in each under peak power output allowance and creep speed threshold value determination Preset Time yardstick, second determining unit 304 can put into operation described according to described Real-time Power Flow service data and the Power grid structure data obtained in advance, to determine under corresponding described time scale respectively each the maximum output adjustment threshold value of generating set under the restriction of current electric grid rack framework, adjusted value determining unit 305 of exerting oneself puts into operation described according to regulating power for subsequent use and maximum output adjustment threshold value, to determine under corresponding described time scale respectively each the adjusted value of exerting oneself of generating set, reserve capacity of power grid determining unit 306 determines the maximum marginal capacity of the electrical network under corresponding described time scale and minimum marginal capacity according to the adjusted value of exerting oneself of the generating set that puts into operation described in each, due to 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, the acquisition of data is real-time and convenient, and, the real-time running data obtained in electrical network EMS system is focused on, also analysis efficiency is substantially increased, and the analysis result obtained is accurate, in real time.
After the maximum marginal capacity obtaining electrical network and minimum marginal capacity, conveniently the checking and graphical representation of user, in reserve capacity of power grid analytical system of the present invention, can also include:
Mark unit 307, for different colors mark Different time scales, such as, represents level second, red representative minute level, green representative hour level with blueness;
Block diagram generation unit 308, for forming the maximum marginal capacity block diagram of electrical network, the minimum marginal capacity block diagram of electrical network according to the maximum marginal capacity of electrical network, the size of minimum marginal capacity and color mark under each described time scale, or/and the regulating power block diagram for subsequent use of the generating set that puts into operation that generates according to size and the color mark of the regulating power for subsequent use of the generating set that puts into operation described in each under each described time scale;
Display unit 309, for showing the regulating power block diagram for subsequent use of the maximum marginal capacity block diagram of electrical network, the minimum marginal capacity block diagram of electrical network, the generating set that puts into operation, wherein, while the minimum marginal capacity block diagram being presented at the maximum marginal capacity block diagram of electrical network, electrical network, put into operation described in also to show under each time scale each the adjusted value of exerting oneself of generating set, can so that user's (mainly dispatching of power netwoks controllers) puts into operation described in intuitively to understand under each time scale each the adjustment situation of exerting oneself of generating set.
In addition, the generating set that respectively puts into operation is distinguished more intuitively for the ease of user, can also in conjunction with network topology or geographical actual distribution figure, namely display unit 309 can also show the regulating power block diagram for subsequent use of the generating set that puts into operation according to the actual distribution figure of the topological structure of electric figure/generating set that puts into operation.
Due to, minute level, the moment of hour level correspondence is the future time instance relative to current time, future time instance network load may change relative to the network load of current time, therefore, the reserve capacity of power grid obtained to make analysis is more accurate, reserve capacity of power grid analytical system of the present invention can also comprise predicting unit 310, for predicting whether the electrical network bus load of future time instance changes relative 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, do not repeat them here, accordingly, the Power grid structure data that the second determining unit 304 can also be used for predicting the outcome according to electrical network bus load and obtain in advance adopt respectively Load flow calculation determine corresponding time scale each described in put into operation generating set Net Frame of Electric Network framework restriction under maximum output adjustment threshold value.Simultaneously, in order to improve the accuracy of reserve capacity of power grid further, reserve capacity of power grid determining unit 306 is when calculating the maximum reserve capacity of electrical network, and priority allocation is for subsequent use at a slow speed, reserve capacity of power grid 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 from electrical network EMS system and directly obtain.In another embodiment, reserve capacity of power grid analytical system of the present invention can also be comprise the electrical network EMS system be connected with data capture unit 302.
The above embodiment only have expressed several execution mode of the present invention, and it describes comparatively concrete and detailed, but therefore can not be interpreted as the restriction to the scope of the claims of the present invention.It 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. a reserve capacity of power grid analytical method, is characterized in that, comprises the steps:
Receive reserve capacity analysis instruction, obtain the real-time running data of electrical network from electrical network EMS system according to described reserve capacity analysis instruction, described real-time running data comprises the Real-time Power Flow service data of the real-time power output of the generating set that respectively puts into operation, power output threshold value and electrical network;
According to described real-time power output and power output threshold value determine respectively each described in put into operation the peak power output allowance of generating set, and the regulating power for subsequent use of the generating set that puts into operation described in determine under each Preset Time yardstick each according to described peak power output allowance and the creep speed threshold value preset;
According to described Real-time Power Flow service data and the Power grid structure data that obtain in advance determine respectively corresponding each described time scale each described in put into operation the maximum output adjustment threshold value of generating set under the restriction of current electric grid rack framework;
According to the maximum output adjustment threshold value of the regulating power for subsequent use of correspondence and correspondence determine respectively corresponding each described time scale each described in put into operation the adjusted value of exerting oneself of generating set;
The maximum marginal capacity of the electrical network under corresponding described time scale and minimum marginal capacity is determined according to adjusted value of exerting oneself described in each.
2. reserve capacity of power grid analytical method according to claim 1, is characterized in that, also comprise step:
With different colors mark Different time scales;
Show the maximum marginal capacity block diagram of electrical network, the minimum marginal capacity block diagram of electrical network that generate according to the maximum marginal capacity of electrical network, the size of minimum marginal capacity and color mark under each described time scale, or display is according to the regulating power block diagram for subsequent use of the generating set that respectively puts into operation of the size of the regulating power for subsequent use of the generating set that puts into operation described in each under each described time scale and the generation of color mark.
3. reserve capacity of power grid 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 the reserve capacity of power grid analytical method one of claims 1 to 3 Suo Shu, it is characterized in that, also comprise step:
When the electrical network bus load predicting future time instance changes relative to the electrical network bus load of current time, predict the outcome according to electrical network bus load and the Power grid structure data acquisition Load flow calculation that obtains in advance determine corresponding time scale each described in put into operation the maximum output adjustment threshold value of generating set under the restriction of Net Frame of Electric Network framework.
5. reserve capacity of power grid analytical method according to claim 4, is characterized in that, also comprise 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. a reserve capacity of power grid analytical system, is characterized in that, comprising:
Instruction reception unit, for receiving reserve capacity analysis instruction;
Data capture unit, for obtaining the real-time running data of electrical network from electrical network EMS system according to described reserve capacity analysis instruction, described real-time running data comprises the Real-time Power Flow service data of the real-time power output of the generating set that respectively puts into operation, power output threshold value and electrical network;
First determining unit, for determine respectively according to described real-time power output and power output threshold value each described in put into operation the peak power output allowance of generating set, and the regulating power for subsequent use of the generating set that puts into operation described in determine under each Preset Time yardstick each according to described peak power output allowance and the creep speed threshold value preset;
Second determining unit, for determine respectively according to described Real-time Power Flow service data and the Power grid structure data that obtain in advance corresponding each described time scale each described in put into operation the maximum output adjustment threshold value of generating set under the restriction of current electric grid rack framework;
To exert oneself adjusted value determining unit, for determine respectively according to the regulating power for subsequent use of correspondence and the maximum output adjustment threshold value of correspondence corresponding each described time scale each described in put into operation the adjusted value of exerting oneself of generating set;
Reserve capacity of power grid determining unit, for determining the maximum marginal capacity of the electrical network under corresponding described time scale and minimum marginal capacity according to adjusted value of exerting oneself described in each.
7. reserve capacity of power grid analytical system according to claim 6, is characterized in that, also comprise:
Mark unit, for marking Different time scales by different colors;
Block diagram generation unit, for showing the maximum marginal capacity block diagram of electrical network, the minimum marginal capacity block diagram of electrical network that generate according to the maximum marginal capacity of electrical network, the size of minimum marginal capacity and color mark under each described time scale, or display is according to the regulating power block diagram for subsequent use of the generating set that respectively puts into operation of the size of the regulating power for subsequent use of the generating set that puts into operation described in each under each described time scale and the generation of color mark;
Display unit, for described maximum marginal capacity block diagram, described minimum marginal capacity block diagram, described regulating power block diagram for subsequent use, or display unit is used for the regulating power block diagram for subsequent use showing the generating set that puts into operation according to the actual distribution figure of the topological structure of electric figure/generating set that puts into operation.
8. the reserve capacity of power grid analytical system according to claim 6 or 7, is characterized in that:
Also comprise predicting unit, for predicting whether the electrical network bus load of future time instance changes relative to the electrical network bus load of current time, and generation forecast result;
Second determining unit also for the Power grid structure data predicted the outcome according to electrical network bus load and obtain in advance adopt respectively Load flow calculation determine corresponding time scale each described in put into operation generating set Net Frame of Electric Network framework restriction under maximum output adjustment threshold value.
9. reserve capacity of power grid analytical system according to claim 8, is characterized in that, described reserve capacity of power grid 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. the reserve capacity of power grid analytical system according to claim 6 or 7, is characterized in that, also comprises the electrical network EMS system be connected with described data capture unit.
CN201210485156.4A 2012-09-29 2012-11-23 Method and system for analyzing reserve capacity of power grid Active CN103023019B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201210485156.4A CN103023019B (en) 2012-09-29 2012-11-23 Method and system for analyzing reserve capacity of power grid

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
CN201210376795.7 2012-09-29
CN201210376795 2012-09-29
CN201210485156.4A CN103023019B (en) 2012-09-29 2012-11-23 Method and system for analyzing reserve capacity of power grid

Publications (2)

Publication Number Publication Date
CN103023019A CN103023019A (en) 2013-04-03
CN103023019B true CN103023019B (en) 2014-12-17

Family

ID=47971285

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201210485156.4A Active CN103023019B (en) 2012-09-29 2012-11-23 Method and system for analyzing reserve capacity of power grid

Country Status (1)

Country Link
CN (1) CN103023019B (en)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103824230B (en) * 2013-11-25 2018-01-02 国电南瑞科技股份有限公司 A kind of systematic failures spare capacity coordinated allocation method based on risk quantification
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
CN113300416B (en) * 2021-07-07 2022-10-21 广东电网有限责任公司 Power grid standby capacity configuration method, system, equipment and computer medium

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101413981B (en) * 2008-11-27 2010-12-08 上海交通大学 Electric power system operation standby reliability testing system
CN101414317A (en) * 2008-11-27 2009-04-22 东北电力大学 Equivalent wind speed method for processing wind electric field static power equivalence dispersion problem

Also Published As

Publication number Publication date
CN103023019A (en) 2013-04-03

Similar Documents

Publication Publication Date Title
Luna et al. Online energy management systems for microgrids: Experimental validation and assessment framework
CN107276127B (en) Consider the wind electricity digestion optimization method of the multi-area Interconnected Power System of interconnection electricity transaction plan
CN102280878B (en) Wind power penetration optimization evaluation method based on SCED
WO2016037303A1 (en) Evaluation method for online accommodating capacity of new energy power generation
CN103971173B (en) Active distribution network substation capacity control method and system
Brka et al. Predictive power management strategies for stand-alone hydrogen systems: Operational impact
CN103023019B (en) Method and system for analyzing reserve capacity of power grid
CN102244677B (en) Green energy Cloud computing method and system
CN101271544B (en) Prediction method of generatrix load in electric network
CN103414206A (en) Water, fire and light combined optimization power generation scheduling optimization method considering security constraints
CN103440531A (en) Wind power plant short-term wind power prediction system in view of operating state of wind power plant draught fan
CN109274131B (en) Probability statistics theory-based non-time sequence quantitative evaluation method for new energy consumption capability
CN115392547A (en) Virtual power plant energy comprehensive control platform based on data analysis
CN112308270A (en) Long-term electricity load prediction method and device and computer implementation system
CN116937569A (en) Intelligent energy storage method and device for photovoltaic power generation and electronic equipment
CN106849064B (en) Regional power grid load prediction management system based on meteorological data
CN117335457A (en) Processing method and device based on optical storage micro-grid system
CN103400217A (en) Wind power compatibility network safety analysis method for coordinated dispatching of wind power and conventional energy sources
CN113690885B (en) Power supply control method and power supply platform
Zhang et al. Study on generation and transmission maintenance scheduling under electricity market
CN201730136U (en) Processing device for supplying auxiliary scheduling data of water supply network
CN103928944B (en) Photovoltaic DC-to-AC converter power stage combined adjuster
CN115912373A (en) Grid-connected point voltage adjusting method, device, equipment and medium of photovoltaic system
CN115940301A (en) Power factor control method, device, equipment and storage medium
CN103779961B (en) Community becomes intellect economy operation control system and control method thereof

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
CP01 Change in the name or title of a patent holder
CP01 Change in the name or title of a patent holder

Address after: 510699 No. 75 Meihua Road, Guangzhou, Guangdong, Yuexiu District

Patentee after: ELECTRIC POWER DISPATCHING CONTROL CENTER OF GUANGDONG POWER GRID Co.,Ltd.

Address before: 510699 No. 75 Meihua Road, Guangzhou, Guangdong, Yuexiu District

Patentee before: ELECTRIC POWER DISPATCH CONTROL CENTER OF GUANGDONG GRID Co.