CN110460115A - A kind of AGC controls in advance method of the new energy containing polymorphic type - Google Patents

A kind of AGC controls in advance method of the new energy containing polymorphic type Download PDF

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CN110460115A
CN110460115A CN201910761093.2A CN201910761093A CN110460115A CN 110460115 A CN110460115 A CN 110460115A CN 201910761093 A CN201910761093 A CN 201910761093A CN 110460115 A CN110460115 A CN 110460115A
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陈皓勇
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Guangdong Boshen Think Tank Energy Technology Development Co ltd
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    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46Controlling of the sharing of output between the generators, converters, or transformers
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    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/70Smart grids as climate change mitigation technology in the energy generation sector
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

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Abstract

The invention discloses a kind of AGC controls in advance methods of new energy containing polymorphic type, comprising the following steps: is ready for data for establishment AGC controls in advance method, determines constraint condition, optimization aim and respective algorithms option according to reqirement of compilation;According to unit parameter, the unit for participating in AGC controls in advance method is determined;It was rolled using every 5 minutes primary, dispatching cycle is the online rolling strategy of half an hour, power deviation is calculated in advance according to ultra-short term power prediction and ultra-short term system loading, establishes the adjustment power distribution model based on cycle time section global optimization, which is solved using branch and bound method algorithm;EMS system is published in a manner of being issued operation plan by file mode or automatically by energy-saving power generation dispatching technology support system, per half an hour issues an AGC controls in advance method.The invention avoids the hysteresis qualitys of Automatic Generation Control, reduce new energy to the percussion of power grid, alleviate the adjusting burden of AGC unit.

Description

A kind of AGC controls in advance method of the new energy containing polymorphic type
Technical field
The present invention relates to a kind of electric system active power dispatch methods, and in particular to a kind of AGC of the new energy containing polymorphic type is super Preceding control method.
Background technique
With global warming, the continuous deterioration of ecological environment, the consumption of non-regeneration energy is growing, and development is new At global hot spot, energy pattern great change is worldwide all occurring for the energy.Wind-powered electricity generation, photovoltaic power generation etc. New energy has intermittent and randomness, can not control effectively to it, so generally directly will during dispatching of power netwoks Intermittent energy source is fully surfed the Internet.But traditional rational dispatching by power grids is established on the Accurate Prediction to load, using wind-powered electricity generation as representative Intermittent energy source power prediction precision well below load prediction, the demand that is not able to satisfy in engineering.Therefore, on a large scale New technical problem is brought to the scheduling of conventional electric power systematic economy after intermittent energy source is grid-connected.
Traditional scheduling strategy is using the dispatching method for planning directly to combine with Automatic Generation Control (AGC) a few days ago.Day Preceding plan is carried out based on the lower short term power prediction of precision, therefore, arranges the unit output of next day will by plan a few days ago Biggish power shortage is generated, which is all undertaken by AGC unit.When the permeability of intermittent energy source is higher, hold Easily there is the situation of AGC pondage deficiency, the safe and economical operation of system is impacted.Document [1] proposes a kind of consumption In a few days rolling planning and reality is added between plan and AGC a few days ago in the Multiple Time Scales active power dispatch method of large-scale wind power When plan two time scales, realize the effect of " multilevel coordination, step by step optimize ".
The maximum power vacancy that system is likely to occur can reduce using in a few days rolling planning, but power shortage is still deposited , how theoretically to guarantee conventional power unit have digest this Partial Power vacancy ability be a critical issue.Although Long-term forecast, medium-term forecast are the power prediction precision of the intermittent energy source of representative well below negative using wind-powered electricity generation in short-term forecast Lotus prediction, in engineering without very big reference significance;But it is pre- as the ultra-short term power of the intermittent energy source of representative using wind-powered electricity generation It is sufficiently high to survey precision, can satisfy engineering demand.Document [2], document [3], document [4], document [5] consider only ultrashort The prediction of phase system loading, the ultra-short term power prediction without considering intermittent energy source;And their advanced controls for being realized Method processed is the optimization on cycle time point to power deviation distribution, it is possible to will lead to and the case where AGC anti-tune occurs, add Weight system burden.
[1], Zhang Baiming, Wu Wenchuan, the active power dispatch system that the Multiple Time Scales of the too first-class consumption large-scale wind power of Zheng are coordinated System design [J], Automation of Electric Systems, 2011,35 (1): 1-6
[2], high ancestor and, fourth is proper, and quince is hard, and is waited to realize controls in advance [J] electric power of AGC using super short period load forecast System automation, 2000,24 (11): 42-44.
[3], Li Yuzhou, Wu Wenchuan, Zhang Baiming, Jiang Mu, the district control deviation controls in advance for waiting Multiple Time Scales to coordinate Method, electric power network technique, 2009,2 (33): 15-19
[4], Weng Shasha, skies Ji Hainan Power Grid AGC controls in advance [J], south electric network technology, 2011,5 (6): 64-68
[5], English is robbed week, Zhang Baiming, Guo Yujin wait fired power generating unit controls in advance strategy [J], electric power network technique, and 2005,11 (29):57-60。
Summary of the invention
To solve the above problems, the present invention has comprehensively considered the ultra-short term power of ultra-short term, intermittent energy source Prediction, proposes a kind of AGC controls in advance method of new energy containing polymorphic type, to reduce the uncertainty of new energy power output to electricity The adverse effect of net improves the ability of power grid consumption new energy.On the one hand on the basis of in a few days rolling planning, based on prediction essence It spends higher ultra-short term and ultra-short term new energy power prediction carries out AGC controls in advance method.It was rolled using every 5 minutes Dynamic primary, dispatching cycle is half an hour in line computation mode.By establishing AGC controls in advance method model, cuts down adjust in real time The deviation of degree scheme and actual motion avoids the hysteresis quality of Automatic Generation Control, reduces new energy and makees to the impact of power grid With;On the other hand, using AGC controls in advance method, so that the non-AGC unit in part can also shift to an earlier date according to system loading variation tendency Increasing and decreasing load alleviates the adjusting burden of AGC unit, achievees the purpose that reasonable employment AGC resource.
To achieve the above object, the technical scheme adopted by the invention is as follows:
A kind of AGC controls in advance method of the new energy containing polymorphic type, comprising the following steps:
Step 1 is ready for data for establishment AGC controls in advance method, determines constraint condition, optimization according to reqirement of compilation Target and respective algorithms option;
Step 2, according to unit parameter, determine the unit for participating in AGC controls in advance method;
Step 3 was rolled once using every 5 minutes, and dispatching cycle is the online rolling strategy of half an hour, according to ultra-short term function Rate prediction and ultra-short term system loading calculate power deviation in advance, establish the adjustment power point based on cycle time section global optimization With model, which is solved using branch and bound method algorithm (Cplex solver);
Step 4, the side for being issued operation plan with file mode or automatically by energy-saving power generation dispatching technology support system Formula is published to EMS system, and per half an hour issues an AGC controls in advance method, including each conventional power unit of the following half an hour Power output plan, temporal resolution are 5 minutes.
Further, the step 1 is used to prepare basic data, input number therein for establishment AGC controls in advance method According to the prediction of ultra-short term system loading and ultra-short term power prediction data, each unit basic number of new energy for including real-time update According to the scheduling result of, tie line plan data, the system demand data and in a few days rolling planning spare to load.
Further, in the step 2, according to data such as each unit regulating power, machine set types, unit is divided into three Class: 1, plan unit, similar traditional non-AGC unit, by default plan power generation, regulating cycle is the tune of upper level operation plan It saves period (i.e. the regulating cycle of in a few days rolling planning);
2, AGC controls in advance unit, controls in advance ACE coordinate unit output, the i.e. machine of present invention participation controls in advance Group, regulating cycle are 5 minutes;
3, AGC unit, traditional AGC function correct ACE, and regulating cycle is second grade.
Further, specifically comprise the following steps: in the step 3
S31, online rolling strategy is formulated
The calculating cycle of online rolling planning is identical as ultra-short term system loading predetermined period, i.e. the period is half an hour, often A scheduling slot is 5 minutes, i.e., 6 scheduling slots are shared in dispatching cycle;
S32, power deviation is calculated
In each scheduling slot, according to ultra-short term power prediction, the prediction of ultra-short term system loading, in a few days rolling planning tune It spends the data such as result, tie line plan and calculates power deviation;
S33, the adjustment power distribution model for establishing period times global optimization
1. determining objective function
Objective function by cycle time section in each unit operating cost and cycle time section in AGC unit service charge It is formed with using the method for weighted value;
2. improving constraint condition
Constraint condition includes system side constraint and the constraint of unit side, and system side constraint includes power-balance constraint and spare appearance Amount constraint, the constraint of unit side include units limits, the Climing constant etc. of each unit, and essence reflects each unit characteristic and reality The constraint of border situation;
S34, the adjustment power distribution mould that period times global optimization is solved using branch-bound algorithm (Cplex solver) Type
The adjustment power point of period times global optimization is solved using the original dual interior point with Quadratic Convergence With model.
The present invention has the following beneficial effects with respect to the prior art:
(1) the AGC controls in advance method preparation method for the new energy containing polymorphic type that the present invention establishes, in a few days rolling planning On the basis of introduce AGC controls in advance method, gradually reduced the uncertain percussion to power grid of new energy, reduced The adjusting burden of AGC.
(2) consider to be not only the period prioritization scheme to time point, make scheduling scheme that there is stronger robustness, Prevent the case where unit demodulates.
(3) present invention has comprehensively considered the ultra-short term power prediction and ultra-short term of various intermittent energy sources, because This, scheduling mode wide adaptation range proposed by the present invention can apply to the actual electric network containing various energy resource structures.
Detailed description of the invention
Fig. 1 is a kind of flow chart of the AGC controls in advance method of new energy containing polymorphic type of the embodiment of the present invention.
Fig. 2 is AGC controls in advance method flow diagram in the embodiment of the present invention.
Fig. 3 is that power distribution method flow chart is adjusted in the embodiment of the present invention.
Specific embodiment
In order to which objects and advantages of the present invention are more clearly understood, the present invention is carried out with reference to embodiments further It is described in detail.It should be appreciated that specific implementation example described herein is not used to limit this hair only to explain the present invention It is bright.
As Figure 1-Figure 2, the AGC controls in advance method of a kind of new energy containing polymorphic type of the embodiment of the present invention, firstly, Data are ready for for establishment day AGC controls in advance method, constraint condition, optimization aim and corresponding calculation are determined according to reqirement of compilation Method option;Secondly, formulating online rolling strategy, it is inclined to calculate power in advance according to ultra-short term power prediction and ultra-short term system loading Difference establishes the adjustment power distribution model based on cycle time section global optimization, using branch-bound algorithm (Cplex solver) Solve the model;Finally, the green operation plan of Security Checking will be passed through by energy-saving power generation dispatching technology support system with file Mode or the mode issued automatically are published to EMS system, the AGC controls in advance method of publication in every 5 minutes, including future half The power output plan of hour each unit, temporal resolution are 5 minutes.
Specifically comprise the following steps:
1) early-stage preparations
For establishment AGC controls in advance method prepare basic data, including real-time update ultra-short term system loading prediction and Ultra-short term power prediction data, each unit master data, tie line plan, the system of the new energy demand spare to load, day The scheduling result of interior rolling planning;Constraint condition includes power-balance constraint, spinning reserve constraint, unit regulations speed;Optimization Target includes the service fee of each unit operating cost in cycle time section and the AGC unit in cycle time section;Algorithm choosing Item includes the condition of convergence and computational accuracy.
2) online rolling strategy is formulated
The calculating cycle for the online rolling planning that the present invention uses is identical as ultra-short term system loading predetermined period, i.e. the period For half an hour, each scheduling slot is 5 minutes, i.e., 6 scheduling slots are shared in dispatching cycle.
3) power deviation is calculated, the adjustment power distribution model based on cycle time section global optimization is established, using branch Key-machine (Cplex solver) solves the model.
The present invention is established by following steps by the adjustment power distribution model of cycle time section global optimization: based on (one) Calculate power deviation
The power deviation of calculating is the deviation based on prediction, is not the current power deviation of system, and accuracy depends on The ultra-short term power prediction and ultra-short term system loading of intermittent energy source are predicted.The calculation formula of total adjustment power Δ P are as follows:
Δ P=PL+PT-P-PG+PF
Wherein, PLFor ultra-short term value;PTFor Tie line Power, send outside as positive direction;P is in a few days to roll The generated output of plan;PGFor the ultra-short term power prediction of intermittent energy source;PFFor AGC unit to be made be optimal power output and The generation schedule of AGC unit is adjusted to optimal in order to allow AGC unit to remain with biggish adjustment nargin by the power undertaken Contribute and power that the unit of AGC controls in advance that lets on undertakes.
(2) power distribution model is adjusted
We use one group of integer variable Zj, j ∈ J, using this variable with adjust step-length be multiplied as the adjustment amount of unit, That is Δ Pj=Zj*Aj,j∈J;Wherein, Δ PjIndicate the adjustment amount of unit j, AjIndicate the adjusting step-length of unit j.
(1) objective function
One, it is each unit operating cost in cycle time section: in the case where total regulated quantity is fixed, finds optimal tune Whole expense, i.e.,Wherein C (j) is the power purchase price of unit j.
Two, be cycle time section in AGC unit service fee: due to unit participate in AGC adjustment reimbursement for expenses compared with Height has so regulations speed or the combination faster unit of regulations speed should be chosen as far as possible:
(wherein D is the unit costs (member/MW) of AGC service, and Δ P is total adjustment amount).Above formula is to unit regulation power Integral in time is multiplied by the formula that AGC service fee obtains.
(2) constraint equation
One, the adjustment total amount of total adjustment amount Δ P and each unitDifference be less than AGC dynamic regulation dead zone PDD, i.e.,
Two, regulations speed has with unit reserve
WhereinFor the adjustment capability bound of unit j in a period, calculated before distribution:
Wherein PjRepresent the power output plan of unit j;rjRepresent the spare of unit j;WithRespectively unit j's goes out Power limit restraint;WithThe respectively regulations speed in raising and lowering direction;Δ t is AGC controls in advance cycle time.
AGC controls in advance method be in line computation, it is more demanding to the calculating speed of algorithm.The present invention uses branch-and-bound Algorithm (Cplex solver) solves the model.
4) AGC controls in advance method is worked out
By energy-saving power generation dispatching technology support system by by the green operation plan of Security Checking with file mode or Automatically the mode issued is published to EMS system, the AGC controls in advance method of publication in every 5 minutes, including each machine of the following half an hour The power output plan of group, temporal resolution are 5 minutes.
The above is only a preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art For member, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also answered It is considered as protection scope of the present invention.

Claims (4)

1. a kind of AGC controls in advance method of new energy containing polymorphic type, it is characterised in that: the following steps are included:
Step 1 is ready for data for establishment AGC controls in advance method, determines constraint condition, optimization aim according to reqirement of compilation With respective algorithms option;
Step 2, according to unit parameter, determine the unit for participating in AGC controls in advance method;
Step 3 was rolled once using every 5 minutes, and dispatching cycle is the online rolling strategy of half an hour, pre- according to ultra-short term power It surveys and ultra-short term system loading calculates power deviation in advance, establish the adjustment power distribution mould based on cycle time section global optimization Type solves the model using branch and bound method algorithm;
Step 4 is sent out in a manner of being issued operation plan by file mode or automatically by energy-saving power generation dispatching technology support system For cloth to EMS system, per half an hour issues an AGC controls in advance method, the power output including each conventional power unit of the following half an hour Plan, temporal resolution are 5 minutes.
2. a kind of AGC controls in advance method of the new energy containing polymorphic type as described in claim 1, it is characterised in that: the step Input data in rapid 1 include real-time update ultra-short term system loading prediction and new energy ultra-short term power prediction data, The scheduling of each unit master data, tie line plan data, the system demand data spare to load and in a few days rolling planning As a result.
3. a kind of AGC controls in advance method of the new energy containing polymorphic type as described in claim 1, it is characterised in that: the step In rapid 2, according to each unit regulating power, machine set type, unit is divided into three classes:
Class1, plan unit, similar traditional non-AGC unit, by default plan power generation, regulating cycle is upper level scheduling meter The regulating cycle drawn;
Type 2, AGC controls in advance unit, controls in advance ACE coordinate unit output, and regulating cycle is 5 minutes;
Type 3, AGC unit, traditional AGC function correct ACE, and regulating cycle is second grade.
4. a kind of AGC controls in advance method of the new energy containing polymorphic type as described in claim 1, it is characterised in that: the step Specifically comprise the following steps: in rapid 3
S31, online rolling strategy is formulated
The calculating cycle of online rolling planning is identical as ultra-short term system loading predetermined period, i.e. the period is half an hour, each tune Spending the period is 5 minutes, i.e., 6 scheduling slots are shared in dispatching cycle;
S32, power deviation is calculated
In each scheduling slot, according to ultra-short term power prediction, the prediction of ultra-short term system loading, in a few days rolling planning scheduling knot Fruit, tie line plan calculate power deviation;
S33, the adjustment power distribution model for establishing period times global optimization
1. determining objective function
Objective function is adopted by the service fee of the AGC unit in each unit operating cost and cycle time section in cycle time section It is formed with the method for weighted value;
2. improving constraint condition
Constraint condition includes system side constraint and the constraint of unit side, system side constraint include power-balance constraint and spare capacity about Beam, the constraint of unit side include units limits, the Climing constant etc. of each unit, and essence reflects each unit characteristic and practical feelings Condition constraint;
S34, the adjustment power distribution model that period times global optimization is solved using branch-bound algorithm
The adjustment power distribution mould of period times global optimization is solved using the original dual interior point with Quadratic Convergence Type.
CN201910761093.2A 2019-08-17 2019-08-17 A kind of AGC controls in advance method of the new energy containing polymorphic type Pending CN110460115A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113098059A (en) * 2021-04-07 2021-07-09 国网安徽省电力有限公司六安供电公司 AGC advanced control method containing multiple types of new energy
CN113381454A (en) * 2021-06-02 2021-09-10 国网河北省电力有限公司 New energy joint debugging method combining ultra-short-term prediction and regional control deviation

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Publication number Priority date Publication date Assignee Title
CN103199565A (en) * 2013-03-29 2013-07-10 华南理工大学 Multi-zone automatic generation control coordination method based on differential game theory
CN105046395A (en) * 2015-05-15 2015-11-11 华南理工大学 Intraday rolling scheduling method of electric power system including multiple types of new energy

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103199565A (en) * 2013-03-29 2013-07-10 华南理工大学 Multi-zone automatic generation control coordination method based on differential game theory
CN105046395A (en) * 2015-05-15 2015-11-11 华南理工大学 Intraday rolling scheduling method of electric power system including multiple types of new energy

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113098059A (en) * 2021-04-07 2021-07-09 国网安徽省电力有限公司六安供电公司 AGC advanced control method containing multiple types of new energy
CN113381454A (en) * 2021-06-02 2021-09-10 国网河北省电力有限公司 New energy joint debugging method combining ultra-short-term prediction and regional control deviation

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