CN113078659A - Capacity selection method for AGC frequency modulation device of energy storage auxiliary thermal power generating unit - Google Patents
Capacity selection method for AGC frequency modulation device of energy storage auxiliary thermal power generating unit Download PDFInfo
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- CN113078659A CN113078659A CN202110350522.4A CN202110350522A CN113078659A CN 113078659 A CN113078659 A CN 113078659A CN 202110350522 A CN202110350522 A CN 202110350522A CN 113078659 A CN113078659 A CN 113078659A
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- 238000004146 energy storage Methods 0.000 title claims abstract description 68
- 238000010187 selection method Methods 0.000 title claims abstract description 12
- 239000000203 mixture Substances 0.000 claims abstract description 16
- 238000009826 distribution Methods 0.000 claims abstract description 12
- HBBGRARXTFLTSG-UHFFFAOYSA-N Lithium ion Chemical compound [Li+] HBBGRARXTFLTSG-UHFFFAOYSA-N 0.000 claims description 11
- 229910001416 lithium ion Inorganic materials 0.000 claims description 11
- 239000003990 capacitor Substances 0.000 claims description 10
- 238000000034 method Methods 0.000 claims description 7
- 238000004364 calculation method Methods 0.000 claims description 4
- 238000004519 manufacturing process Methods 0.000 abstract 1
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 description 13
- 229910052744 lithium Inorganic materials 0.000 description 13
- 238000005516 engineering process Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000002860 competitive effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000007599 discharging Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000003912 environmental pollution Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000010248 power generation Methods 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
- H02J3/241—The oscillation concerning frequency
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
- H02J3/30—Arrangements for balancing of the load in a network by storage of energy using dynamo-electric machines coupled to flywheels
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
- H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
- H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
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- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/16—Mechanical energy storage, e.g. flywheels or pressurised fluids
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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
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Abstract
The invention discloses a capacity selection method for an AGC frequency modulation device of an energy storage auxiliary thermal power generating unit. The invention provides a capacity selection method for an AGC frequency modulation device of an optimal energy storage auxiliary thermal power generating unit by fitting frequency modulation instruction probability distribution based on a Gaussian mixture model aiming at the problem that the current power type energy storage device is high in manufacturing cost.
Description
Technical Field
The invention belongs to the technical field of power system automation, and particularly relates to a capacity selection method for an AGC frequency modulation device of an energy storage auxiliary thermal power generating unit.
Background
With the increasing proportion of renewable energy sources such as wind energy and solar energy of a power grid, the intermittent and fluctuating characteristics of the renewable energy sources increase the frequency modulation demand brought to the power grid. In order to absorb large-scale new energy electric energy, the power grid issues a frequency modulation auxiliary service market trading rule, and power plants are encouraged to actively participate in a frequency modulation market, so that power fluctuation caused by new energy grid connection is stabilized.
The frequency modulation performance of the thermal power generating unit generally differs from that of the hydroelectric generating unit due to the characteristics of the units, so that the thermal power generating unit is in a disadvantage in the frequency modulation market, and the reward cost of the frequency modulation unit is required to be shared frequently. In order to improve the frequency modulation performance of the thermal power generating unit, a large-scale energy storage technology needs to be configured for the thermal power generating unit.
The application of advanced large-scale energy storage technology can solve the problems of randomness and fluctuation of new energy power generation to a great extent, so that intermittent low-density renewable clean energy can be widely and effectively utilized, and the intermittent low-density renewable clean energy gradually becomes economically competitive electric energy.
The energy storage has various technical means, wherein the energy storage of the lithium battery is a mature energy storage technology at present, but the lithium battery has the defect of service life when being applied to AGC frequency modulation of a thermal power generating unit, and the theoretical service life of the lithium battery in a 2C/100% DOD state is not more than 5000 times.
In order to solve the problem of short service life of the lithium battery, a certain proportion of super capacitors can be configured. The super capacitor has the outstanding advantages of high power density, quick charging, long cycle life, wide working temperature range, safety, reliability, cleanness, environmental protection and the like, and is particularly suitable for frequency modulation requirements.
On the other hand, unlike the chemical energy storage form of lithium ion batteries, the flywheel energy storage is a physical energy storage form, has the advantages of high charging and discharging speed, high working efficiency, long service life, simple maintenance, no environmental pollution and the like, is suitable for auxiliary frequency modulation, but has higher flywheel energy storage cost and less practical engineering application at present
Disclosure of Invention
The invention aims to provide a capacity selection method of an AGC frequency modulation device of an energy storage auxiliary thermal power generating unit aiming at the problem of higher energy storage cost of a super capacitor and a flywheel at present, which can reduce the capacity configuration requirement of an energy storage system to the greatest extent, thereby reducing the engineering cost and ensuring that the frequency modulation requirement of a power grid is met on the premise of configuring the minimum energy storage capacity.
The invention is realized by adopting the following technical scheme:
a capacity selection method for an AGC frequency modulation device of an energy storage auxiliary thermal power generating unit comprises the following steps:
1) carrying out statistics on AGC frequency modulation instructions sent to the thermal power generating unit by the power grid scheduling mechanism within M months according to the month, wherein the unit is MW;
2) taking an absolute value of an AGC frequency modulation instruction issued by scheduling;
3) counting the frequency of absolute values of AGC frequency modulation instructions according to months, and forming a frequency histogram;
4) fitting a frequency histogram of the AGC frequency modulation instruction based on a Gaussian mixture model to obtain a Gaussian mixture distribution model
Wherein M is the number of months of the statistical frequency modulation command, M is 1,2,3imIs the weight of the ith Gaussian fraction model, muimIs the mean, σ, of the ith Gaussian mixture modelimIs the variance of the ith Gaussian score model;
5) order to
6) If μi＜μjThe rated power of the power type energy storage device configured in the energy storage system is mujMW, rated capacity of T x muj×πjMWh, rated power of energy type energy storage device configured in energy storage system is muiMW, rated capacity of T x mui×πiMWh and T are fluctuation cycles of AGC frequency modulation instructions, and the unit is h.
The further improvement of the invention is that in the step 1), the AGC frequency modulation instruction sent to the thermal power generating unit within M months of the power grid dispatching mechanism is counted according to months, and the frequency modulation instruction in the summer time period, namely 6-8 months, and the frequency modulation instruction in the winter time period, namely 12 months-2 months next year are covered.
A further development of the invention is that in step 4), the number k of gaussian partial models is 2.
The further improvement of the invention is that in the step 4), a Gaussian mixture distribution model is obtained by adopting EM algorithm calculation.
In a further development of the invention, in step 5), the calculated μ is evaluatediPerforming rounding operation, reserving one decimal, and calculating the obtained muiAnd performing an upper rounding operation to round to a unit.
A further improvement of the present invention is that, in step 6), T is a fluctuation period of the AGC frequency modulation instruction, which is obtained by counting the duration of the continuous unidirectional frequency modulation instruction, and if the fluctuation period of the AGC frequency modulation instruction is 7.5 minutes, T is 2 × 7.5 minutes — 15 minutes, that is, 0.25 h.
The further improvement of the invention is that in the step 6), the power type energy storage device and the energy type energy storage device are respectively a power type flywheel and an energy type flywheel, a super capacitor and a lithium ion battery or a high-rate lithium ion battery and a low-rate lithium ion battery.
The invention has at least the following beneficial technical effects:
1. the invention configures the power type energy storage device and the energy type energy storage device with corresponding power and capacity according to the probability distribution of the dispatching AGC frequency modulation instruction, thereby reducing the capacity requirement of expensive energy storage devices such as a super capacitor or a flywheel and the like and achieving the purpose of reducing the construction cost.
2. According to the probability distribution of the AGC frequency modulation command, the power type energy storage device and the energy type energy storage device with corresponding proportions are configured, such as the power type flywheel and the energy type flywheel, the super capacitor and the lithium ion battery or the high-rate lithium ion battery and the low-rate lithium ion battery, and the power type energy storage device or the energy type energy storage device is respectively called for different frequency modulation commands, so that the purpose of quickly responding to different frequency modulation commands is achieved.
Compared with the prior art, the invention has the following remarkable advantages:
1. compared with a lithium ion battery energy storage system or a flywheel array energy storage system with the same capacity which is frequently adopted at present, the capacity selection method for the AGC frequency modulation device of the energy storage auxiliary thermal power generating unit can fully play the advantages of different frequency modulation instructions tracked by a power type device and an energy type device, so that a better frequency modulation tracking effect is realized on the premise of reducing the total capacity of the energy storage system.
2. According to the capacity selection method for the AGC frequency modulation device of the energy storage auxiliary thermal power generating unit, probability distribution of the AGC frequency modulation command is fitted based on the Gaussian mixture model, and the Gaussian mixture model can fit any type of distribution theoretically, so that the method is wide in application range.
Drawings
FIG. 1 is a protection logic diagram of the present invention.
Fig. 2 is a frequency histogram of absolute values of AGC frequency modulation commands of 660MW units of a certain power plant.
FIG. 3 is a frequency modulation command frequency distribution diagram of a 660MW unit of a power plant based on a Gaussian mixture model.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art. It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict. The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings.
As shown in fig. 1, the method for selecting the capacity of the AGC frequency modulation device of the energy storage auxiliary thermal power generating unit according to the present invention includes the following steps:
1) carrying out statistics on AGC frequency modulation instructions sent to the thermal power generating unit by the power grid scheduling mechanism within M months according to the month, wherein the unit is MW;
2) taking an absolute value of an AGC frequency modulation instruction issued by scheduling;
taking a certain 660MW unit as an example, the AGC frequency modulation instruction data issued to the unit in 7 months of scheduling is:
13.97573；6.30424；18.20384；9.7476；1.39254；4.86109；14.68465；11.19065；11.84895；6.30425；11.849；6.27895；21.6725；25.1664；17.49496；9.06394；2.0761；8.32975；2.15205；9.06395；9.0639；15.34289；20.9129；19.54572；7.67138；7.67146；18.86213；21.64713；21.64713；23.74859；18.86212；1.36718；9.79822；6.96254；20.93825；22.33075；5.06366；0.55704；8.3803；18.2039；2.076；9.064；8.35503；7.69677；6.27894；3.49394；11.8743；18.1532；22.3307；2.1014；6.96254；20.96354；22.3814；14.00105；1.34185；5.6207；11.1653；7.64614；7.72211；6.96255；8.4056；9.064；7.67142；18.86212；13.9757；16.10247；16.8114；15.34287；21.64713；18.86213；22.38138；15.41885；19.59637；19.59637；0.65826；8.40567；8.38034；23.06494；17.4696；15.3682；11.87428；10.48178；19.59634；16.10241；9.79819；16.81134；22.40668；16.07712；19.54572；24.45746；9.77286；14.68461；16.12775；23.77386；18.86212；8.40567；14.05167；18.91278；5.57001；4.20285；7.24103；3.24075；18.17853；3.46862；12.55789；5.59533；11.84895；8.43098；21.67245；3.4939；7.69677；7.67146；13.26678；2.78504；17.4696；7.69678；5.59534；4.86112；20.27998；3.44327；10.48178；20.25463；20.98885；6.27893；14.02634；3.4686；22.33072；23.72323；10.43116；10.43116；18.83686；18.83686；16.71006；8.4057；12.5832；16.0771；13.92505；17.46961；9.79816；7.67145；16.05175；20.25457；20.25457；11.8996；10.4565；8.35503；3.49387；10.48184；6.96252；20.25466；16.0771；17.4696；13.2668；19.57107；11.62107；4.4561；9.0639；11.14；18.15317；11.14003；16.0771；2.78504；16.07714；19.59636；16.78601；19.57099；20.30524；7.6968；5.5953；9.08925；4.88645；11.84896；9.08924；5.54473；15.34289；13.24146；20.204；17.419；4.91176；1.39251；16.76075；13.2415；4.91176；16.05182；8.40564；9.3931；3.8737；8.431；5.57；4.8864；11.849；6.96253；16.43158；0.2785；11.87425；11.1907；3.54456；16.00114；10.4818；9.0386；2.0761；17.4443；14.6593；4.0256；1.54443；7.62078；7.03852；13.95037；16.00115；13.21615；3.49393；0.70893；11.82366；4.17749；14.60865；2.10143；16.71008；16.71008；2.78503；16.05176；13.26676；5.57003；14.6593；4.17749；13.95036；18.8621；16.0771；8.35506；12.53256；16.7607；10.4565；11.19075；11.19075；16.76076；18.86213；19.57107；5.8738；3.1901；4.17753；15.34289；2.78504；8.3804；20.28；14.68464；14.00104；17.49493；19.57098；2.07611；10.45648；7.01312；14.00096；16.0771；1.3925；10.48174；19.57098；9.77286；11.8743；5.51935；15.46948；20.27993；12.55783；1.39252；9.0893；1.36718；18.17853；10.43115；12.58319；17.49494；9.74755；20.96355；7.67146；13.92504；0.70893；15.34289；14.63396；16.0265；16.0265；18.81145；9.0893；9.77285；18.1532；20.9382；9.0893；9.7728；5.57004；7.01316；8.35506；10.50708；2.78506；11.1907；11.84894；14.68466；10.43106；20.93823；20.25464；11.19067；9.79822；21.01422；9.0639；5.59534；7.62085；7.69672；6.30423；4.83584；20.22931；20.25467；9.7981；20.3052；20.33056；11.14004；18.17855；4.88642；16.76068；20.25455；9.0893；11.8743；11.16533；20.93817；20.25458；24.48274；8.38036；9.82346；16.786；8.50694；2.65846；10.4564；9.7729；9.7475；19.5204；5.3928；14.86185；9.77285；9.77286；10.45648；9.06391；9.08925；3.49394；13.31744；11.14005；9.0386；19.52038；19.52038；20.9382；5.57003；4.91175；8.38035；9.77285；9.79819；2.7344；4.17749；8.4057；9.77283；7.69678；9.74749；2.81037；17.4696；9.7729；11.19067；13.92505；16.71009；20.20401；9.08926；9.77287；15.34287；8.40567；3.46863；9.7982；3.4939；7.69677；11.8743；18.17856；14.68463；19.54574；7.67146；14.6846；2.785；11.16537；14.6846；9.77286；9.79817；10.45646；9.06394；9.77286；8.38037；16.76071；13.29212；9.06393；2.78501；4.86111；1.39252；7.72207；4.88646；9.77285；11.16535；13.26678；8.38037；9.08925；10.43113；9.08927；14.001；9.03864；11.8996；19.59638；11.87424；20.93814；13.97571；9.03865；10.50707；9.06396；8.27907；9.87413；23.06493；16.07708；8.38037；10.45645；11.84897；7.67145；13.97571；13.97571；9.06392；9.0893；7.72208；14.02633；13.21615；19.5204；10.48176；2.12674；13.95037；9.08927；9.06393；10.45645；9.74756；7.69675；10.48175；13.95038；9.06396；20.2293；18.1279；16.07711；12.60852；8.38035；14.00102；18.86212；9.7982；6.9625；15.36818；15.36818；6.6826；10.1765；8.38035；18.55685；10.8601；10.8601；9.4676；12.58318；9.77286；13.95038；22.38138；12.63386；13.92504；9.08926；9.74753；10.50711；8.35504；16.07712；20.27994；10.45645；8.40567；20.27992；9.08928；5.59532；16.1024；21.67245；9.06395；9.06395；9.08927；7.67144；18.86216；0.70888；10.43115；13.97567；4.88646；20.96356；1.3672；8.38038；0.65826；18.1279；9.03864；12.5579；8.35504；6.96252；18.12789；14.63397；2.785；18.1279；4.17752；13.26678；16.05178；11.79834；9.82348；9.08926；2.785；14.63398；13.95038；9.77285；6.98785；19.54572；18.86212；2.78503；8.38037；16.78604；11.1907；2.785；12.53256；20.17868；9.08926；4.83579；18.1279；18.1279；10.48177；10.45646；13.26678；10.48176；14.001；15.3935；20.25463；9.06393；9.6969；0.81018；16.02649；6.27893；10.48178；12.53253；13.97567；0.6583；10.50708；10.43112；8.35504；9.79819；18.15323；14.001；4.86112；4.86112；11.8743；13.26678；18.86212；5.57；18.86212；10.48175；8.32973；17.419；15.3429；9.7982；9.0386；20.9382；11.8743；18.86214；9.08926；7.67142；20.96352；10.4818；13.26677；8.35503；9.08925；10.43115；11.216；9.74753；7.64612；18.86212；14.6846；10.48177；18.8621；19.59633；9.77287；9.74755；9.77285；4.20283；10.50708；8.38035；13.31742；12.53256；9.79816；9.77286；20.2546；19.5457；16.7354；5.59535；10.2539；0.9621；15.39353；14.65928；20.2546；3.5192；0.6583；10.48177；11.87427；11.14006；11.16536；6.32959；2.7597；17.52025；9.03864；10.45646；9.06396；4.88641；14.65927；19.5457；20.27993；5.64597；19.57101；9.08927；20.25461；0.70895；11.16535；2.78497；11.16541；18.15323；12.55788；20.0268；20.0268；6.30427；9.08923；3.46863；4.17747；12.5579；13.26677；10.48183；9.7728；9.0893；9.7728；7.6715；5.62064；4.12689；10.50707；9.77284；8.38036；4.15223；17.46963；16.0771；1.39253；9.08929；9.08929；17.44433；8.355；11.1907；9.06395；3.51925；12.53257；10.48173；1.39253；16.73543；13.2415；20.9382；20.9382；17.4696；14.634；9.08923；13.97563；12.55785；17.49495；11.8489；20.96354；20.96354；12.5579；9.74754；9.08926；16.02646；9.79824；9.79814；18.83679；9.08927；14.63397；9.08926；14.6593；16.76071；11.89959；7.67145；8.35504；9.79819；9.79817；9.06395；8.38037；9.03861；8.40567；16.0265；11.8996；9.7475；12.5832；9.77286；15.3429；11.16534；8.40564；16.02646；11.1907；6.98786；11.14007；9.08929；4.15214；9.11465；1.39245；9.79816；13.6972；0.25317；1.39253；1.4178；2.1014；4.91173；2.12677；2.12677；3.51923；3.51923；2.12677；2.12677；17.44433；9.7728；9.8488；1.34184；8.35506；7.67143；11.16543；17.44425；13.26678；7.69677；16.02644；18.17852；13.29206；9.77284；18.17853；10.45648；17.14045；12.1781；10.48177；17.46963；9.0133；15.34288；10.45645；20.96356；17.41897；16.07712；15.39348；12.5579；18.8368；19.5204；9.8235；20.27996；19.54571；10.50711；4.88642；18.91276；18.8368；1.49378；6.2283；21.64713；17.49493；16.786；14.7099；11.8743；6.2536；20.27995；9.06395；13.2921；2.785；13.95038；17.44431；12.53256；13.29212；8.35501；16.05182；12.55788；12.53254；9.08926；17.44427；9.74755；16.76072；16.05178；11.16537；11.84897；12.55786；7.69678；11.87427；15.3682；19.57105；10.45645；11.19068；10.45645；17.46961；10.43112；19.52039；16.73538；9.06396；16.10243；16.10243；8.32973；18.1026；8.38033；5.999；13.69574；4.17752；4.20284；13.9504；9.06392；9.03864；3.51924；8.53227；1.89887；10.48176；18.12788；21.64712；20.96354；1.3925；6.98786；23.03964；7.67145；20.25463；8.32972；8.38034；16.02646；12.53256；8.431；20.27996；16.0771；11.84896；20.96356；9.03864；9.77286；8.40567；4.86111；11.16535；9.79817；11.8996；20.98885；12.55785；20.27993；19.59635；6.30426；6.27892；18.17852；20.27997；8.22842；9.16523；9.8488；11.77302；20.8876；20.25464；8.35504；9.77286；16.05178；20.9129；8.38034；2.78503；14.6846；7.67145；9.03862；5.62065；9.1146；9.03863；11.16538；15.39352；9.03863；15.97585；0.75953；20.25461；15.672；1.11401；0.6836；14.6846；9.77286；3.49393；12.53256；16.76072；20.22932；11.16538；2.83563；9.1146；9.74753；8.35504；9.08926；10.48178；8.60822；0.4304；11.1907；22.33076；16.05179；18.12787；12.53254；6.30425；18.17852；13.95038；12.58319；13.34274；0.58232；14.60866；2.81034；4.88646；18.88746；20.98887；18.86213；4.88644；8.35504；11.8996；14.70994；18.88746；19.54572；8.35504；14.6593；5.57；13.9504；12.55785；12.22873；0.37979；12.58319；7.72208；13.21615；10.43115；13.29208；19.54571；9.08927；9.08926；6.96252；11.87426；11.16538；9.74754；9.08925；9.11459；9.77286；10.48178；9.08927；3.46859；2.78501；19.54572；9.08926；11.87427；11.8996；18.91275；20.98885；6.96253；2.81033；11.19068；15.34289；11.14005；11.8743；14.6593；13.26679；16.8873；1.26593；19.54571；11.92493；2.75972；8.355；3.46862；4.30411；0.30237；4.60648；6.25362；7.01316；9.06397；11.14004；5.62063；11.84898；9.06396；20.96356；9.03864；18.15323；9.74753；5.57004；16.02649；11.19068；10.43112；13.95035；13.26675；9.06397；6.30426；6.27892；9.4676；17.87326；9.77286；11.14004；9.08927；5.57004；12.53256；11.89957；10.45648；9.08926；9.06393；2.81033；16.78603；7.64612；12.63382；4.20283；4.8358；9.06394；9.08926；9.77286；22.38136；9.74754；21.62182；20.9129；6.30426；8.35504；13.95038；10.48178；11.14004；18.1532；10.50712；10.4311；19.5457；2.785；6.27894；5.57003；14.63397；11.84897；19.26721；17.87469；9.79819；19.54571；13.97571；20.25464；9.08926；9.06393；9.08927；10.45645；8.35503；9.06398；9.06392；9.1146；8.355；8.3804；2.12673；11.87427；10.45644；25.14106；22.38135；6.96253；0.68359；4.75986；7.11444；7.69673；11.19072；9.74753；11.89959；9.08926；9.06394；18.86212；8.35504；11.89958；4.91176；8.38034；20.96353；20.96353；12.5832；11.82365；19.52039；9.77286；8.38036；14.65928；6.98786；17.49494；20.25464；14.65927；3.51925；13.21613；11.8743；8.73481；10.78561；20.93823；10.45644；6.6826；10.80948；10.80948；6.02432；6.02432；9.4676；9.4676；11.59433；9.74753；12.55786；8.784；12.96152；11.19068；9.79818；14.73523；16.07709；8.40566；6.45618；2.58246；11.16538；2.07611；14.6846；9.08927；6.30426；14.60864；6.96256；3.51922；1.39252；23.72323；9.08927；9.08926；12.60852；9.74754；13.95037；5.59533；13.97568；11.84896；6.98786；12.5832；10.43115；11.19067；20.98886；14.00101；15.34287；19.54572；19.54572；9.06396；12.53256；9.08926；5.59534；16.10242；13.97568；17.46961；9.03863；15.36818；9.06398；11.16534；11.8743；9.77286；6.27892；2.0761；17.4443；16.02647；20.25463；9.74754；6.96252；8.35502；12.2526；9.51822；12.53256；9.06397；16.07712；11.14005；1.39251；2.50507；12.2526；9.08926；15.34286；1.39252；4.60648；12.96152；0.68358；14.00102；11.8996；16.76071；8.35504；13.92504；3.54459；10.17798；3.11413；9.08927；14.6593；9.0386；12.22872；8.68418；2.07608；9.79819；21.64713；14.6846；8.38034；4.83579；16.73538；8.38035；9.74755；17.46963；5.62067；13.24145；9.08926；17.4696；18.17852；9.77287；18.20387；4.15218；9.03864；14.58334；14.58334；11.216；20.25464；20.25464；5.57001；11.14004；6.38023；2.73437；10.45645；16.02646；9.08929；20.22933；20.25463；16.76071；15.36823；11.19067；20.30527；7.64612；15.34287；9.08926；8.38037；18.15323；14.6846；9.06397；13.97571；10.48176；7.69676；12.60852；19.3685；0.20256；12.55785；1.08725；7.3915；7.3915；13.6451；13.6451；12.30325；8.86142；3.44183；15.08826；10.43112；12.55789；9.79816；9.03863；9.59564；2.27863；9.08927；9.06396；8.35504；16.7607；8.38033；12.55786；9.74753；9.08926；17.4696；15.39352；20.30526；23.09026；16.81133；9.08927；16.81134；9.08926；16.27965；0.53168；20.27993；9.74756；3.51924；9.74755；5.34213；0.9621；10.50712；9.06392；8.35505；13.97567；13.24149；5.57004；13.16553；9.13989；19.57101；15.34284；19.4697；0.78488；4.88642；6.07638；2.30399；13.29208；10.43115；8.40567；11.84893；6.2789；9.064；4.1775；9.7981；7.6462；3.51923；17.46963；17.46963；16.73543；12.6085；1.3672；20.9636；20.28；16.7861；2.10146；8.38036；20.96355；18.86212；4.15223；4.8864；18.1026。
3) the frequency of the absolute value of the AGC frequency modulation instruction is counted monthly and a frequency histogram is formed, which is shown in fig. 2 for the example of the above mentioned 660MW unit.
4) Fitting a frequency histogram of the AGC frequency modulation instruction based on a Gaussian mixture model to obtain a Gaussian mixture distribution model
Wherein M is the number of months of the statistical frequency modulation command, M is 1,2,3imIs the weight of the ith Gaussian fraction model, muimIs the mean, σ, of the ith Gaussian mixture modelimIs the variance of the ith Gaussian score model;
5) order to
Taking a certain 660MW unit mentioned above as an example, the fitting obtained by calculation obtains pi1＝0.8091，π2＝0.1909，μ1＝9.6156，μ2＝19.2958，σ1＝4.1846，σ22.7295, its gaussian mixture model is p (x) 0.8091 × N (x |9.6156,4.1846) +0.1909 × N (x |19.2958,2.7295), and its probability distribution is shown in fig. 3. The data rounding operation is carried out on the result to obtain pi1＝0.8，π2＝0.2，μ1＝10，μ2＝20；
6) If μi＜μjThe rated power of the power type energy storage device configured in the energy storage system is mujMW, rated capacity thereofThe amount is T × muj×πjMWh, rated power of energy type energy storage device configured in energy storage system is muiMW, rated capacity of T x mui×πiMWh and T are fluctuation cycles of AGC frequency modulation instructions, and the unit is h.
Taking a certain 660MW unit as an example, if a super capacitor lithium battery is used for hybrid energy storage, the rated power of the super capacitor in the energy storage system can be 20MW, the rated capacity of the super capacitor is 0.25 × 20 × 0.2 ═ 1MWh, the rated power of the lithium battery in the energy storage system can be 10MW, and the rated capacity of the lithium battery is 0.25 × 10 × 0.8 ═ 2 MWh; if the flywheel energy storage is adopted, the flywheel energy storage system can be configured with 2 sets of energy storage flywheels, wherein the rated power of one set of flywheel energy storage can be 10MW, and the rated capacity is 0.25 multiplied by 10 multiplied by 0.8 which is 2 MWh; the rated power of the other set of flywheel can be 20MW, and the rated capacity is 0.25 multiplied by 20 multiplied by 0.2 which is 1 MWh; if the high-rate lithium battery and the low-rate lithium battery are used for hybrid energy storage, the rated power of the high-rate lithium battery in the energy storage system can be 20MW, the rated capacity of the high-rate lithium battery is 0.25 multiplied by 20 multiplied by 0.2-1 MWh, the rated power of the low-rate lithium battery in the energy storage system can be 10MW, and the rated capacity of the low-rate lithium battery in the energy storage system is 0.25 multiplied by 10 multiplied by 0.8-2 MWh.
Although the invention has been described in detail hereinabove with respect to a general description and specific embodiments thereof, it will be apparent to those skilled in the art that modifications or improvements may be made thereto based on the invention. Accordingly, such modifications and improvements are intended to be within the scope of the invention as claimed.
Claims (8)
1. A capacity selection method for an AGC frequency modulation device of an energy storage auxiliary thermal power generating unit is characterized by comprising the following steps:
1) carrying out statistics on AGC frequency modulation instructions sent to the thermal power generating unit by the power grid scheduling mechanism within M months according to the month, wherein the unit is MW;
2) taking an absolute value of an AGC frequency modulation instruction issued by scheduling;
3) counting the frequency of absolute values of AGC frequency modulation instructions according to months, and forming a frequency histogram;
4) for AGC frequency-modulated commandsThe frequency histogram is fitted based on a Gaussian mixture model to obtain a Gaussian mixture distribution model
Wherein M is the number of months of the statistical frequency modulation command, M is 1,2,3imIs the weight of the ith Gaussian fraction model, muimIs the mean, σ, of the ith Gaussian mixture modelimIs the variance of the ith Gaussian score model;
5) order to
6) If μi＜μjThe rated power of the power type energy storage device configured in the energy storage system is mujMW, rated capacity of T x muj×πjMWh, rated power of energy type energy storage device configured in energy storage system is muiMW, rated capacity of T x mui×πiMWh and T are fluctuation cycles of AGC frequency modulation instructions, and the unit is h.
2. The capacity selection method for the AGC frequency modulation device of the energy storage auxiliary thermal power generating unit according to claim 1, characterized in that in the step 1), the AGC frequency modulation command sent to the thermal power generating unit within M months of the power grid dispatching mechanism is counted according to months, wherein the frequency modulation command covers the summer time period of 6-8 months and the winter time period of 12-2 months next year.
3. The method for selecting the capacity of the AGC frequency modulation device of the energy storage assisted thermal power generating unit according to claim 1, wherein in the step 4), the number k of the gaussian partial models is 2.
4. The capacity selection method for the AGC frequency modulation device of the energy storage auxiliary thermal power generating unit according to claim 1, characterized in that in the step 4), a Gaussian mixture distribution model is obtained through calculation by adopting an EM algorithm.
5. The method for selecting the capacity of the AGC frequency modulation device of the energy storage auxiliary thermal power generating unit according to claim 1, wherein in the step 5), the calculated mu is subjected to calculationiPerforming rounding operation, reserving one decimal, and calculating the obtained muiAnd performing an upper rounding operation to round to a unit.
6. The method for selecting the capacity of the AGC frequency modulation device of the energy storage assisting thermal power generating unit according to claim 1, wherein in step 6), T is a fluctuation period of the AGC frequency modulation command, which is obtained by counting a duration of the continuous unidirectional frequency modulation command, and the fluctuation period of the AGC frequency modulation command is 7.5 minutes, and then T is 2 × 7.5 minutes-15 minutes, that is, 0.25 h.
7. The method for selecting the capacity of the AGC frequency modulation device of the energy storage assisting thermal power generating unit according to claim 1, wherein in the step 6), the power type energy storage devices are a power type flywheel and an energy type flywheel.
8. The method for selecting the capacity of the AGC frequency modulation device of the energy storage auxiliary thermal power generating unit according to claim 1, wherein in the step 6), the energy type energy storage devices are a super capacitor and a lithium ion battery or a high-rate lithium ion battery and a low-rate lithium ion battery.
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Application publication date: 20210706 Assignee: HUANENG LUOYUAN POWER GENERATION Co.,Ltd. Assignor: Xi'an Thermal Power Research Institute Co.,Ltd. Contract record no.: X2023110000149 Denomination of invention: A Capacity Selection Method for AGC Frequency Control Device in Energy Storage Assisted Thermal Power Units Granted publication date: 20230207 License type: Common License Record date: 20231206 |