CN103532172A - Multistage reserve coordination method based on set dynamic classification - Google Patents

Multistage reserve coordination method based on set dynamic classification Download PDF

Info

Publication number
CN103532172A
CN103532172A CN201310504908.1A CN201310504908A CN103532172A CN 103532172 A CN103532172 A CN 103532172A CN 201310504908 A CN201310504908 A CN 201310504908A CN 103532172 A CN103532172 A CN 103532172A
Authority
CN
China
Prior art keywords
load
standby unit
unit
sub
trend
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.)
Granted
Application number
CN201310504908.1A
Other languages
Chinese (zh)
Other versions
CN103532172B (en
Inventor
刘敦楠
姜新凡
徐玉杰
葛睿
张思远
陈浩
刘志刚
张文磊
刘欣明
胡宇
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.)
State Grid Corp of China SGCC
North China Electric Power University
State Grid Hunan Electric Power Co Ltd
Original Assignee
State Grid Corp of China SGCC
North China Electric Power University
State Grid Hunan Electric Power 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 State Grid Corp of China SGCC, North China Electric Power University, State Grid Hunan Electric Power Co Ltd filed Critical State Grid Corp of China SGCC
Priority to CN201310504908.1A priority Critical patent/CN103532172B/en
Publication of CN103532172A publication Critical patent/CN103532172A/en
Application granted granted Critical
Publication of CN103532172B publication Critical patent/CN103532172B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Landscapes

  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention discloses a multistage reserve coordination method based on set dynamic classification, and belongs to the technical field of electric power distribution. According to the method, a tendency reserve set is used for guaranteeing consistency of planned output and load change tendency, then, a rapid reserve set is used for preventing supply and demand unbalance caused by predicted deviations of loads, and finally, a real-time reserve set is used for flexibly changing generated output in real time when super-short term fluctuation of the loads happens; and different reserve sets are used sequentially for load adjustment, so that stable and reliable power supply is realized finally. The different reserve sets perform respective duties and support each other on the premise that respective duties are completed, self-positioning is adjusted appropriately, and the sets assist other types of sets to complete the capacity adjustment task.

Description

A kind of multistage standby coordination approach based on unit dynamic cataloging
Technical field
The invention belongs to distributing electric power technical field, relate in particular to a kind of multistage standby coordination approach based on unit dynamic cataloging.
Background technology
Electric power has cannot large scale storage, send out the instantaneous feature completing for transmission & distribution, and electric load constantly fluctuation along with time, consumption habit, climatic influences, for guaranteeing the reliability of supply of electric power, grid company needs real time coordination electricity power enterprise to adjust generated output.Under traditional scheduler pattern, only will guarantee that power supply and demand, as Consideration, takes identical scheduling means for different scheduling situations, ignore the efficiency of coordinated scheduling and the requirement of low-carbon environment-friendly.
Summary of the invention
For the traditional scheduler pattern of mentioning in background technology, in the problem existing aspect the efficiency of coordinated scheduling and low-carbon environment-friendly, the present invention proposes a kind of multistage standby coordination approach based on unit dynamic cataloging.
A multistage standby coordination approach for unit dynamic cataloging, is characterized in that, described method specifically comprises the following steps:
Step 1: load prediction and forecast: the historical data based on past three days, the social power load situation of change of real-time rolling forecast in 30 minutes futures, and according to the Load Regulation demand of definite following 15 minutes, 5 minutes of load variations situation and 1 minute three time period;
Step 2: computer-assisted classification: by the time of power scheduling be divided into 15 minutes, three grades of 5 minutes and 1 minutes; Simultaneously, needs according to load variations in time scale and unit reaction speed, machine set type is dynamically divided, and being about to dispatcher component is the standby unit of trend, quick standby unit and real-time standby unit, determines the reserve capacity of the standby unit of three classes and corresponding machine set type;
Step 3: rolling forecast and dynamically adjustment: along with the propelling of time, standby, the quick standby and real-time standby unit of the trend of calling successively; Along with load dynamic change, realize the harmonious of the Load Regulation demand in 15 minutes, 5 minutes, 1 minute three grades of moment of load and reserve capacity; If standby deficiency, dynamically adjusts between first existing unit, if still not enough, provide alert, transfer to artificial treatment.
In described step 1, the historical data based on past three days, the process of the social power load situation of change of rolling forecast in 30 minutes futures is in real time:
Take current time as benchmark, try to achieve respectively the load mean value of following 0-30 minute corresponding with first three day:
Y i=(Y i,1+Y i,2+Y i,3)/3,
Wherein, i=0,5,10,15,20,25,30 are respectively the time point of getting in following 0-30 minute; Y i, 1be the historical load of this time point before 1 day, Y i, 2be the historical load of this time point before 2 days, Y i, 3it is the historical load of this time point before 3 days;
Actual load D this moment 0represent, following 5-30 minute required load prediction value, uses respectively D 5, D 10, D 15, D 20, D 25, D 30represent:
D 5=(D 0/Y 0)*Y 5
D 10=(D 0/Y 0)*Y 10
D 15=(D 0/Y 0)*Y 15
D 20=(D 0/Y 0)*Y 20
D 25=(D 0/Y 0)*Y 25
D 30=(D 0/Y 0)*Y 30
In described step 1, according to load variations situation, determine that the process of the Load Regulation demand of 15 minutes, 5 minutes future and 1 minute three time point is:
1) 15 minutes Load Regulation demand D qfor the load prediction values of following 15 minutes and generation schedule exert oneself poor, that is:
D q=Q f-Q p
Wherein, Q<sub TranNum="139">f</sub>for load prediction value, Q<sub TranNum="140">p</sub>for plan is exerted oneself; D<sub TranNum="141">q</sub>>0 o'clock indicate extra duty demand, D<sub TranNum="142">q</sub>indicate that unnecessary generation schedule exerts oneself at<0 o'clock;
2) 5 minutes Load Regulation demand D kaverage for same period load prediction of front N day deviation:
D k = 1 N &Sigma; l = 1 N e l
Wherein, e<sub TranNum="148">l</sub>be this moment load prediction deviation of l day, the actual value of loading and load prediction value poor; D<sub TranNum="149">k</sub>>0 o'clock represent that early stage prediction data is less than normal, D<sub TranNum="150">k</sub>represent that prediction data is bigger than normal in earlier stage at<0 o'clock;
3) 1 minute Load Regulation demand D sfor load is from undulating value in 1 minute, the peak load in a minute and minimum load poor:
D s=D m,Max-D m,Min
Wherein, D m, Max, D m, Minrepresent respectively the peak load and the minimum load that within m minute, occur.
In described step 2, the standby unit of trend, quick standby unit and the corresponding machine set type of real-time standby unit are respectively:
The corresponding machine set type of the standby unit of described trend is: 600MW and above fired power generating unit;
The corresponding machine set type of described quick standby unit is: Hydropower Unit and 600MW and following fired power generating unit;
The corresponding machine set type of described real-time standby unit is: automatic-generation-control unit AGC.
In described step 2, determine that the process of the reserve capacity of the standby unit of three classes is:
1), for the standby unit of trend, the computing formula of j standby unit reserve capacity is:
Q jqs = MaxQ jq - Q jqp Q jqx = Q jqp - MinQ jq
Wherein: Q jqs, Q jqxthe upper capacitance-adjustable and the lower capacitance-adjustable that represent respectively j the standby unit of trend; Q jqprepresent that j trend guest machine batch total marks power; MaxQ jqrepresent that the maximum technology of the standby unit of j trend exerts oneself, MinQ jqrepresent that j the standby unit minimum technology of trend exert oneself; The reserve capacity scope of Hydropower Unit is [0, Hydropower Unit rated output]; The reserve capacity scope of fired power generating unit is [50% fired power generating unit rated output, 100% fired power generating unit rated output];
2) computing formula of quick standby unit reserve capacity is:
Q jks = MaxQ jk - Q jkp Q jkx = Q jkp - MinQ jk
Wherein, Q jks, Q jkxthe upper capacitance-adjustable and the lower capacitance-adjustable that represent respectively j quick standby unit; Q jkprepresent that j quick guest machine batch total marks power; MaxQ jkrepresent that the maximum technology of the quick standby unit of j exerts oneself, MinQ jkrepresent that j quick standby unit minimum technology exerts oneself;
3) computing formula of real-time standby unit reserve capacity is:
Q jss = MaxQ js - Q jsp Q jsx = Q isp - MinQ js
Wherein, Q jss, Q jsxthe upper capacitance-adjustable and the lower capacitance-adjustable that represent respectively j real-time standby unit; Q jsprepresent that j real-time guest machine batch total marks power; MaxQ jsrepresent that the maximum technology of the real-time standby unit of j exerts oneself, MinQ jsrepresent that j real-time standby unit minimum technology exerts oneself;
The standby unit of trend reserve capacity >=15 minute Load Regulation demand;
Quick standby unit reserve capacity >=5 minute Load Regulation demand;
Real-time standby unit reserve capacity >=1 minute Load Regulation demand.
In described step 3, along with the propelling of time, standby, the quick standby and real-time standby unit of the trend of calling successively, the Load Regulation demand in realization 15 minutes, 5 minutes, 1 minute three grades of moment of load and the harmonious process of reserve capacity are:
1) for the adjustment of the standby unit of trend
The adjustment of the standby unit of trend is to adjust and meet for the load trend change in 15 minutes:
Work as D q>0 o'clock, if ∑ Q jqs>=D q, the standby unit generated output of trend is improved to D q; Actual power is exerted oneself and equal load prediction value; Otherwise, to other province power purchases;
Work as D<sub TranNum="204">q</sub><0 o'clock, if ∑ Q<sub TranNum="205">jqx</sub>>=D<sub TranNum="206">q</sub>, the standby unit generated output of trend is reduced | D<sub TranNum="207">q</sub>|, actual power is exerted oneself and equal load prediction value; Otherwise, to other province sales of electricity;
By the standby adjustment of trend, can effectively realize the trend balance of workload demand and generated output.But because load prediction exists certain deviation, therefore, propelling along with the time, the ultra-short term that 0-15 divides predicts the outcome more accurate, may still there is certain deviation with the generated output after the standby unit adjustment of trend in new load prediction data, now, just need to introduce quick standby unit further adjusts;
2) quick standby unit adjustment
At present, the load prediction precision of grid company remains on 99.3% left and right, still has certain deviation.Quick standby adjustment is the adjustment of exerting oneself of taking for 0-15 minute internal cause reply load prediction deviation:
Work as D k>0, if ∑ Q jks>=D k, quick standby unit generated output is improved to D k, make up load prediction deviation; Otherwise, to the standby unit of trend, temporarily transfer generating capacity, maximum secondment demand is D k-∑ Q jks, the standby unit of trend is guaranteeing, under the prerequisite of self-regulation task, to provide adjustment capacity, if the standby unit of trend, all in maximum output state, without capacity more than needed, is waited for the further adjusting of real-time standby unit;
Work as D<sub TranNum="219">k</sub><0 o'clock, if ∑ Q<sub TranNum="220">jkx</sub>>=D<sub TranNum="221">k</sub>, quick standby unit generated output is reduced | D<sub TranNum="222">k</sub>|; Otherwise, to other province sales of electricity;
3) real-time standby unit adjustment
By above-mentioned two-stage unit, adjust, generated output and workload demand kept in balance, but due to uncontrollable factors such as user power utilization custom, weather conditions, may still there is certain fluctuation in load variations, this class fluctuation is predictable low, therefore, by real-time standby unit---AGC unit is adjusted.
AGC is the closed-loop control system of utilizing scheduling monitor computer, passage, terminal unit, execution (distribution) device, generating set automation device etc. to form, and the frequency of monitoring, adjustment electric power system, to control generator output.Drop into the unit of AGC-AUTO mode operation, be responsible for tracking prediction deviation and area control error ACE, the exerting oneself of automatic frequency adjustment unit.
The invention has the beneficial effects as follows, Each performs its own functions for different standby units, under the prerequisite of self task, supports each other having guaranteed, suitably adjusts self poisoning, and auxiliary other types unit completes capacity and adjusts task.
Accompanying drawing explanation
Fig. 1 is traditional scheduler method flow diagram provided by the invention;
Fig. 2 is multistage standby coordination optimization scheduling flow figure provided by the invention;
Fig. 3 is multistage standby coordination optimization dispatching method time adjustment figure provided by the invention.
Embodiment
Below in conjunction with accompanying drawing, preferred embodiment is elaborated.Should be emphasized that following explanation is only exemplary, rather than in order to limit the scope of the invention and to apply.
Fig. 1 is traditional scheduler method flow diagram provided by the invention.In Fig. 1, under traditional scheduler pattern, if load higher than generation schedule, control centre can distribute to stand-by generator group according to certain method by the load having more.Conventional distribution method has:
(1) according to unit installed capacity, by sharing of load, give different units pro rata;
(2) priority allocation, to clean energy resourcies such as water power, is secondly efficiently large fired power generating unit, is common fired power generating unit again.
Under traditional scheduler pattern, within every 5 minutes, carry out a power scheduling, and only have this level, cannot realize scheduling in advance, may cause the wasting of resources of standby unit, increase dispatcher's working strength, meanwhile, may reduce power generation dispatching precision.
Fig. 2 is multistage standby coordination optimization scheduling flow figure provided by the invention.Described method specifically comprises the following steps:
Step 1: load prediction and forecast: the historical data based on past three days, the social power load situation of change of real-time rolling forecast in 30 minutes futures, and according to the Load Regulation demand of definite following 15 minutes, 5 minutes of load variations situation and 1 minute three time period;
Historical data based on past three days, the process of the social power load situation of change of rolling forecast in 30 minutes futures is in real time:
Take current time as benchmark, try to achieve respectively the load mean value of following 0-30 minute corresponding with first three day:
Y i=(Y i,1+Y i,2+Y i,3)/3,
Wherein, i=0,5,10,15,20,25,30 are respectively the time point of getting in following 0-30 minute; Y i, 1be the historical load of this time point before 1 day, Y i, 2be the historical load of this time point before 2 days, Y i, 3it is the historical load of this time point before 3 days;
Actual load D this moment 0represent, following 5-30 minute required load prediction value, uses respectively D 5, D 10, D 15, D 20, D 25, D 30represent:
D 5=(D 0/Y 0)*Y 5
D 10=(D 0/Y 0)*Y 10
D 15=(D 0/Y 0)*Y 15
D 20=(D 0/Y 0)*Y 20
D 25=(D 0/Y 0)*Y 25
D 30=(D 0/Y 0)*Y 30
The process of determining the Load Regulation demand of 15 minutes, 5 minutes future and 1 minute three time point according to load variations situation is:
1) 15 minutes Load Regulation demand D qfor the load prediction values of following 15 minutes and generation schedule exert oneself poor, that is:
D q=Q f-Q p
Wherein, Q<sub TranNum="296">f</sub>for load prediction value, Q<sub TranNum="297">p</sub>for plan is exerted oneself; D<sub TranNum="298">q</sub>>0 o'clock indicate extra duty demand, D<sub TranNum="299">q</sub>indicate that unnecessary generation schedule exerts oneself at<0 o'clock;
2) 5 minutes Load Regulation demand D kaverage for same period load prediction of front N day deviation:
D k = 1 N &Sigma; l = 1 N e l
Wherein, e<sub TranNum="305">l</sub>be this moment load prediction deviation of l day, the actual value of loading and load prediction value poor; D<sub TranNum="306">k</sub>>0 o'clock represent that early stage prediction data is less than normal, D<sub TranNum="307">k</sub>represent that prediction data is bigger than normal in earlier stage at<0 o'clock;
3) 1 minute Load Regulation demand D sfor load is from undulating value in 1 minute, the peak load in a minute and minimum load poor:
D s=D m,Max-D m,Min
Wherein, D m, Max, D m, Minrepresent respectively the peak load and the minimum load that within m minute, occur;
Step 2: computer-assisted classification: by the time of power scheduling be divided into 15 minutes, three grades of 5 minutes and 1 minutes; Simultaneously, needs according to load variations in time scale and unit reaction speed, machine set type is dynamically divided, and being about to dispatcher component is the standby unit of trend, quick standby unit and real-time standby unit, determines the reserve capacity of the standby unit of three classes and corresponding machine set type;
The standby unit of trend, quick standby unit and the corresponding machine set type of real-time standby unit are respectively:
The corresponding machine set type of the standby unit of described trend is: 600MW and above fired power generating unit;
The corresponding machine set type of described quick standby unit is: Hydropower Unit and 600MW and following fired power generating unit;
The corresponding machine set type of described real-time standby unit is: automatic-generation-control unit AGC;
The process of determining the reserve capacity of the standby unit of three classes is:
1), for the standby unit of trend, the computing formula of j standby unit reserve capacity is:
Q jqs = MaxQ jq - Q jqp Q jqx = Q jqp - MinQ jq
Wherein: Q jqs, Q jqxthe upper capacitance-adjustable and the lower capacitance-adjustable that represent respectively j the standby unit of trend; Q jqprepresent that j trend guest machine batch total marks power; MaxQ jqrepresent that the maximum technology of the standby unit of j trend exerts oneself, MinQ jqrepresent that j the standby unit minimum technology of trend exert oneself; The reserve capacity scope of Hydropower Unit is [0, Hydropower Unit rated output]; The reserve capacity scope of fired power generating unit is [50% fired power generating unit rated output, 100% fired power generating unit rated output];
2) computing formula of quick standby unit reserve capacity is:
Q jks = MaxQ jk - Q jkp Q jkx = Q jkp - MinQ jk
Wherein, Q jks, Q jkxthe upper capacitance-adjustable and the lower capacitance-adjustable that represent respectively j quick standby unit; Q jkprepresent that j quick guest machine batch total marks power; MaxQ jkrepresent that the maximum technology of the quick standby unit of j exerts oneself, MinQ jkrepresent that j quick standby unit minimum technology exerts oneself;
3) computing formula of real-time standby unit reserve capacity is:
Q jss = MaxQ js - Q jsp Q jsx = Q isp - MinQ js
Wherein, Q jss, Q jsxthe upper capacitance-adjustable and the lower capacitance-adjustable that represent respectively j real-time standby unit; Q jsprepresent that j real-time guest machine batch total marks power; MaxQ jsrepresent that the maximum technology of the real-time standby unit of j exerts oneself, MinQ jsrepresent that j real-time standby unit minimum technology exerts oneself;
The standby unit of trend reserve capacity >=15 minute Load Regulation demand;
Quick standby unit reserve capacity >=5 minute Load Regulation demand;
Real-time standby unit reserve capacity >=1 minute Load Regulation demand.
Step 3: rolling forecast and dynamically adjustment: along with the propelling of time, standby, the quick standby and real-time standby unit of the trend of calling successively; Along with load dynamic change, realize the harmonious of the Load Regulation demand in 15 minutes, 5 minutes, 1 minute three grades of moment of load and reserve capacity; If standby deficiency, dynamically adjusts between first existing unit, if still not enough, provide alert, transfer to artificial treatment.
Along with the propelling of time, standby, the quick standby and real-time standby unit of the trend of calling successively, the Load Regulation demand in realization 15 minutes, 5 minutes, 1 minute three grades of moment of load and the harmonious process of reserve capacity are:
1) for the adjustment of the standby unit of trend
The adjustment of the standby unit of trend is to adjust and meet for the load trend change in 15 minutes:
Work as D q>0 o'clock, if ∑ Q jqs>=D q, the standby unit generated output of trend is improved | D q|; Actual power is exerted oneself and equal load prediction value; Otherwise, to other province power purchases;
Work as D<sub TranNum="363">q</sub><0 o'clock, if ∑ Q<sub TranNum="364">jqx</sub>>=D<sub TranNum="365">q</sub>, the standby unit generated output of trend is reduced | D<sub TranNum="366">q</sub>|, actual power is exerted oneself and equal load prediction value; Otherwise, to other province sales of electricity;
By the standby adjustment of trend, can effectively realize the trend balance of workload demand and generated output.But because load prediction exists certain deviation, therefore, propelling along with the time, the ultra-short term that 0-15 divides predicts the outcome more accurate, may still there is certain deviation with the generated output after the standby unit adjustment of trend in new load prediction data, now, just need to introduce quick standby unit further adjusts.
2) quick standby unit adjustment
At present, the load prediction precision of grid company remains on 99.3% left and right, still has certain deviation.Quick standby adjustment is the adjustment of exerting oneself of taking for 0-15 minute internal cause reply load prediction deviation:
Work as D k>0, if ∑ Q jks>=D k, quick standby unit generated output is improved to D k, make up load prediction deviation; Otherwise, to the standby unit of trend, temporarily transfer generating capacity, maximum secondment demand is D k-∑ Q jks, the standby unit of trend is guaranteeing, under the prerequisite of self-regulation task, to provide adjustment capacity, if the standby unit of trend, all in maximum output state, without capacity more than needed, is waited for the further adjusting of real-time standby unit;
Work as D<sub TranNum="378">k</sub><0 o'clock, if ∑ Q<sub TranNum="379">jkx</sub>>=D<sub TranNum="380">k</sub>, quick standby unit generated output is reduced | D<sub TranNum="381">k</sub>|; Otherwise, to other province sales of electricity;
3) real-time standby unit adjustment
By above-mentioned two-stage unit, adjust, generated output and workload demand kept in balance, but due to uncontrollable factors such as user power utilization custom, weather conditions, may still there is certain fluctuation in load variations, this class fluctuation is predictable low, therefore, by real-time standby unit---AGC unit is adjusted.
AGC is the closed-loop control system of utilizing scheduling monitor computer, passage, terminal unit, execution (distribution) device, generating set automation device etc. to form, and the frequency of monitoring, adjustment electric power system, to control generator output.Drop into the unit of AGC-AUTO mode operation, be responsible for tracking prediction deviation and area control error ACE, the exerting oneself of automatic frequency adjustment unit.
Fig. 3 is multilevel coordination Optimization Scheduling time adjustment figure provided by the invention.In Fig. 3, take time point A as example, finally realize actual load level and the generated output that A orders be consistent if think, in advance within 15 minutes, call the standby unit of trend, the prediction that plan is exerted oneself order with A is loaded and is consistent; As time goes on, when time left is in the time of 5 minutes, may there is deviation with the data of 15 minutes in the load data that now A point upgrades, call quick standby unit, and load deviation is partly eliminated; When approaching A point and only having 1 minute, call real-time standby unit, eliminate at any time the impact of accident on load.
The above; be only the present invention's embodiment preferably, but protection scope of the present invention is not limited to this, is anyly familiar with in technical scope that those skilled in the art disclose in the present invention; the variation that can expect easily or replacement, within all should being encompassed in protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion with the protection range of claim.

Claims (6)

1. the multistage standby coordination approach based on unit dynamic cataloging, is characterized in that, described method specifically comprises the following steps:
Step 1: load prediction and forecast: the historical data based on past three days, the social power load situation of change of real-time rolling forecast in 30 minutes futures, and according to the Load Regulation demand of definite following 15 minutes, 5 minutes of load variations situation and 1 minute three time period;
Step 2: computer-assisted classification: by the time of power scheduling be divided into 15 minutes, three grades of 5 minutes and 1 minutes; Simultaneously, needs according to load variations in time scale and unit reaction speed, machine set type is dynamically divided, and being about to dispatcher component is the standby unit of trend, quick standby unit and real-time standby unit, determines the reserve capacity of the standby unit of three classes and corresponding machine set type;
Step 3: rolling forecast and dynamically adjustment: along with the propelling of time, standby, the quick standby and real-time standby unit of the trend of calling successively; Along with load dynamic change, realize the harmonious of the Load Regulation demand in 15 minutes, 5 minutes, 1 minute three grades of moment of load and reserve capacity; If standby deficiency, dynamically adjusts between first existing unit, if still not enough, provide alert, transfer to artificial treatment.
2. method according to claim 1, is characterized in that, in described step 1, and the historical data based on past three days, the process of the social power load situation of change of rolling forecast in 30 minutes futures is in real time:
Take current time as benchmark, try to achieve respectively the load mean value of following 0-30 minute corresponding with first three day:
Y i=(Y i,1+Y i,2+Y i,3)/3;
Wherein, i=0,5,10,15,20,25,30 are respectively the time point of getting in following 0-30 minute; Y i, 1be the historical load of this time point before 1 day, Y i, 2be the historical load of this time point before 2 days, Y i, 3it is the historical load of this time point before 3 days;
Actual load D this moment 0represent, following 5-30 minute required load prediction value, uses respectively D 5, D 10, D 15, D 20, D 25, D 30represent:
D 5=(D 0/Y 0)*Y 5
D 10=(D 0/Y 0)*Y 10
D 15=(D 0/Y 0)*Y 15
D 20=(D 0/Y 0)*Y 20
D 25=(D 0/Y 0)*Y 25
D 30=(D 0/Y 0)*Y 30
3. method according to claim 1, is characterized in that, in described step 1, determines that the process of the Load Regulation demand of 15 minutes, 5 minutes future and 1 minute three time point is according to load variations situation:
1) 15 minutes Load Regulation demand D qfor the load prediction values of following 15 minutes and generation schedule exert oneself poor, that is:
D q=Q f-Q p
Wherein, Q<sub TranNum="452">f</sub>for load prediction value, Q<sub TranNum="453">p</sub>for plan is exerted oneself; D<sub TranNum="454">q</sub>>0 o'clock indicate extra duty demand, D<sub TranNum="455">q</sub>indicate that unnecessary generation schedule exerts oneself at<0 o'clock;
2) 5 minutes Load Regulation demand D kaverage for same period load prediction of front N day deviation:
D k = 1 N &Sigma; l = 1 N e l
Wherein, e<sub TranNum="461">l</sub>be this moment load prediction deviation of l day, the actual value of loading and load prediction value poor; D<sub TranNum="462">k</sub>>0 o'clock represent that early stage prediction data is less than normal, D<sub TranNum="463">k</sub>represent that prediction data is bigger than normal in earlier stage at<0 o'clock;
3) 1 minute Load Regulation demand D sfor load is from undulating value in 1 minute, the peak load in a minute and minimum load poor:
D s=D m,Max-D m,Min
Wherein, D m, Max, D m, Minrepresent respectively the peak load and the minimum load that within m minute, occur.
4. method according to claim 1, is characterized in that, in described step 2, the standby unit of trend, quick standby unit and the corresponding machine set type of real-time standby unit are respectively:
The corresponding machine set type of the standby unit of described trend is: 600MW and above fired power generating unit;
The corresponding machine set type of described quick standby unit is: Hydropower Unit and 600MW and following fired power generating unit;
The corresponding machine set type of described real-time standby unit is: automatic-generation-control unit AGC.
5. method according to claim 1, is characterized in that, in described step 2, determines that the process of the reserve capacity of the standby unit of three classes is:
1), for the standby unit of trend, the computing formula of j standby unit reserve capacity is:
Q jqs = MaxQ jq - Q jqp Q jqx = Q jqp - MinQ jq
Wherein: Q jqs, Q jqxthe upper capacitance-adjustable and the lower capacitance-adjustable that represent respectively j the standby unit of trend; Q jqprepresent that j trend guest machine batch total marks power; MaxQ jqrepresent that the maximum technology of the standby unit of j trend exerts oneself, MinQ jqrepresent that j the standby unit minimum technology of trend exert oneself; The reserve capacity scope of Hydropower Unit is [0, Hydropower Unit rated output]; The reserve capacity scope of fired power generating unit is [50% fired power generating unit rated output, 100% fired power generating unit rated output];
2) computing formula of quick standby unit reserve capacity is:
Q jks = MaxQ jk - Q jkp Q jkx = Q jkp - MinQ jk
Wherein, Q jks, Q jkxthe upper capacitance-adjustable and the lower capacitance-adjustable that represent respectively j quick standby unit; Q jkprepresent that j quick guest machine batch total marks power; MaxQ jkrepresent that the maximum technology of the quick standby unit of j exerts oneself, MinQ jkrepresent that j quick standby unit minimum technology exerts oneself;
3) computing formula of real-time standby unit reserve capacity is:
Q jss = MaxQ js - Q jsp Q jsx = Q isp - MinQ js
Wherein, Q jss, Q jsxthe upper capacitance-adjustable and the lower capacitance-adjustable that represent respectively j real-time standby unit; Q jsprepresent that j real-time guest machine batch total marks power; MaxQ jsrepresent that the maximum technology of the real-time standby unit of j exerts oneself, MinQ jsrepresent that j real-time standby unit minimum technology exerts oneself;
The standby unit of trend reserve capacity >=15 minute Load Regulation demand;
Quick standby unit reserve capacity >=5 minute Load Regulation demand;
Real-time standby unit reserve capacity >=1 minute Load Regulation demand.
6. method according to claim 1, it is characterized in that, in described step 3, propelling along with the time, standby, the quick standby and real-time standby unit of the trend of calling successively, the Load Regulation demand in realization 15 minutes, 5 minutes, 1 minute three grades of moment of load and the harmonious process of reserve capacity are:
1) for the adjustment of the standby unit of trend
The adjustment of the standby unit of trend is to adjust and meet for the load trend change in 15 minutes:
Work as D q>0 o'clock, if ∑ Q jqs>=D q, the standby unit generated output of trend is improved to D q; Actual power is exerted oneself and equal load prediction value; Otherwise, to other province power purchases;
Work as D<sub TranNum="520">q</sub><0 o'clock, if ∑ Q<sub TranNum="521">jqx</sub>>=D<sub TranNum="522">q</sub>, the standby unit generated output of trend is reduced | D<sub TranNum="523">q</sub>|, actual power is exerted oneself and equal load prediction value; Otherwise, to other province sales of electricity;
2) quick standby unit adjustment
Work as D k>0, if ∑ Q jks>=D k, quick standby unit generated output is improved to D k, make up load prediction deviation; Otherwise, to the standby unit of trend, temporarily transfer generating capacity, maximum secondment demand is D k-∑ Q jks, the standby unit of trend is guaranteeing, under the prerequisite of self-regulation task, to provide adjustment capacity, if the standby unit of trend, all in maximum output state, without capacity more than needed, is waited for the further adjusting of real-time standby unit;
Work as D<sub TranNum="533">k</sub><0 o'clock, if ∑ Q<sub TranNum="534">jkx</sub>>=D<sub TranNum="535">k</sub>, quick standby unit generated output is reduced | D<sub TranNum="536">k</sub>|; Otherwise, to other province sales of electricity;
3) real-time standby unit adjustment
Drop into the unit of AGC-AUTO mode operation, be responsible for tracking prediction deviation and area control error ACE, the exerting oneself of automatic frequency adjustment unit.
CN201310504908.1A 2013-10-23 2013-10-23 Multistage reserve coordination method based on set dynamic classification Expired - Fee Related CN103532172B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201310504908.1A CN103532172B (en) 2013-10-23 2013-10-23 Multistage reserve coordination method based on set dynamic classification

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201310504908.1A CN103532172B (en) 2013-10-23 2013-10-23 Multistage reserve coordination method based on set dynamic classification

Publications (2)

Publication Number Publication Date
CN103532172A true CN103532172A (en) 2014-01-22
CN103532172B CN103532172B (en) 2015-06-24

Family

ID=49933969

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201310504908.1A Expired - Fee Related CN103532172B (en) 2013-10-23 2013-10-23 Multistage reserve coordination method based on set dynamic classification

Country Status (1)

Country Link
CN (1) CN103532172B (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106655284A (en) * 2016-12-27 2017-05-10 广州供电局有限公司 Power generation scheduling control method and power generation scheduling control system
CN110098638A (en) * 2019-06-04 2019-08-06 西安交通大学 A kind of quick unit combined method based on load condition transfer curve
CN112653196A (en) * 2020-12-09 2021-04-13 中国南方电网有限责任公司 Power system power generation side standby resource scheduling method, system, device and medium
CN117424231A (en) * 2023-12-14 2024-01-19 深圳市华星数字有限公司 Energy-saving power distribution control system and method

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2008271723A (en) * 2007-04-23 2008-11-06 Toshiba Corp Power supply/demand controller and method for the same
CN101988697A (en) * 2009-08-07 2011-03-23 华东电力试验研究院有限公司 Intelligent coordinated control method for thermal power unit
CN102075014A (en) * 2011-01-06 2011-05-25 清华大学 Large grid real-time scheduling method for accepting access of wind power
JP2013162563A (en) * 2012-02-02 2013-08-19 Mitsubishi Electric Corp Power demand/supply control device and power demand/supply control method

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2008271723A (en) * 2007-04-23 2008-11-06 Toshiba Corp Power supply/demand controller and method for the same
CN101988697A (en) * 2009-08-07 2011-03-23 华东电力试验研究院有限公司 Intelligent coordinated control method for thermal power unit
CN102075014A (en) * 2011-01-06 2011-05-25 清华大学 Large grid real-time scheduling method for accepting access of wind power
JP2013162563A (en) * 2012-02-02 2013-08-19 Mitsubishi Electric Corp Power demand/supply control device and power demand/supply control method

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106655284A (en) * 2016-12-27 2017-05-10 广州供电局有限公司 Power generation scheduling control method and power generation scheduling control system
CN110098638A (en) * 2019-06-04 2019-08-06 西安交通大学 A kind of quick unit combined method based on load condition transfer curve
CN112653196A (en) * 2020-12-09 2021-04-13 中国南方电网有限责任公司 Power system power generation side standby resource scheduling method, system, device and medium
CN117424231A (en) * 2023-12-14 2024-01-19 深圳市华星数字有限公司 Energy-saving power distribution control system and method
CN117424231B (en) * 2023-12-14 2024-03-15 深圳市华星数字有限公司 Energy-saving power distribution control system and method

Also Published As

Publication number Publication date
CN103532172B (en) 2015-06-24

Similar Documents

Publication Publication Date Title
CN109301849B (en) Energy management combination control strategy for user-side battery energy storage power station
US9438041B2 (en) System and method for energy distribution
CN107248751B (en) A kind of energy storage station dispatch control method for realizing distribution network load power peak load shifting
US10050447B2 (en) Multi-farm wind power generation system
EP2973932A1 (en) System and method for energy distribution
US20140005846A1 (en) System and method for controlling micro-grid operation
CN105006843A (en) Multi-time-scale flexible load scheduling method for handling wind power uncertainties
CN111900729B (en) Method and device for optimizing and adjusting source-grid-load interaction daily plan of regional power grid
CN103545849A (en) Framework with wind electricity participating in system frequency modulation control
CN104538990A (en) Automatic generation control method for small power grid isolated network operation
CN103532172B (en) Multistage reserve coordination method based on set dynamic classification
CN103297505A (en) Multi-energy online control method and system for data center under dynamic cloud service request
CN104239966B (en) Active power distribution network operating method based on electricity cost differentiation
CN111030150A (en) Hybrid energy storage capacity determination method for reliable load power supply of micro-grid system
CN110783959A (en) New forms of energy power generation system&#39;s steady state control system
WO2020123799A1 (en) Hybrid power plant
CN112838603A (en) Wind-solar energy storage and pumping multi-source energy AGC coordinated complementary control method and device
CN102510123A (en) Automatic energy storage control method for large-scale wind power cutter
CN117254464B (en) Control method and system of energy storage system
Lim et al. Control of Photovoltaic-Variable Speed Diesel Generator battery-less hybrid energy system
CN116131297A (en) New energy consumption-oriented source network load storage province and land cooperative regulation and control method and system
CN112736950B (en) Public energy storage power station configuration method and system for micro-grid group
CN111064187A (en) Electric quantity limit distribution method for power generation and utilization
Mei et al. Multi-objective coordinated optimal scheduling of virtual power plants based on demand side response
Wang et al. User-side load fast precise dispatching model based on contracts and direct load control

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
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20150624

Termination date: 20171023

CF01 Termination of patent right due to non-payment of annual fee