CN111917142A - Active power distribution method of wind, light and water based energy centralized control platform - Google Patents

Active power distribution method of wind, light and water based energy centralized control platform Download PDF

Info

Publication number
CN111917142A
CN111917142A CN202010680642.6A CN202010680642A CN111917142A CN 111917142 A CN111917142 A CN 111917142A CN 202010680642 A CN202010680642 A CN 202010680642A CN 111917142 A CN111917142 A CN 111917142A
Authority
CN
China
Prior art keywords
active power
wind
power
value
generating set
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.)
Pending
Application number
CN202010680642.6A
Other languages
Chinese (zh)
Inventor
李亦凡
龚传利
张煦
文正国
何飞跃
迟海龙
张卫君
张显兵
何婷
冯宾春
冯迅
韩长霖
任延明
刘晓彤
邓小刚
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.)
China Institute of Water Resources and Hydropower Research
Original Assignee
China Institute of Water Resources and Hydropower Research
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 China Institute of Water Resources and Hydropower Research filed Critical China Institute of Water Resources and Hydropower Research
Priority to CN202010680642.6A priority Critical patent/CN111917142A/en
Publication of CN111917142A publication Critical patent/CN111917142A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • 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
    • H02J3/48—Controlling the sharing of the in-phase component
    • 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
    • H02J3/004—Generation forecast, e.g. methods or systems for forecasting future energy generation
    • 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
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • 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
    • H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20—The dispersed energy generation being of renewable origin
    • H02J2300/22—The renewable source being solar 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
    • H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20—The dispersed energy generation being of renewable origin
    • H02J2300/28—The renewable source being wind energy
    • 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
    • Y02E10/00—Energy generation through renewable energy sources
    • Y02E10/70—Wind energy
    • Y02E10/76—Power conversion electric or electronic aspects

Abstract

The invention discloses an active power distribution method of an energy centralized control platform based on wind, light and water, which achieves the aim of utilizing potential wind energy and potential light energy to the maximum extent by preferentially absorbing wind and light active power output values, compensates the wind and light active power output values by the water and electricity active power output values, ensures that the total active power output value meets the set active power output requirement value, sets multiple constraints to constrain the wind and light active power output values, effectively reduces the vibration abrasion of a unit and ensures that the unit output is maintained to stably operate outside a vibration region.

Description

Active power distribution method of wind, light and water based energy centralized control platform
Technical Field
The invention relates to the field of new energy power generation, in particular to an active power distribution method of an energy centralized control platform based on wind, light and water.
Background
In the current energy structure of China, the occupation ratio of new energy such as wind power, solar energy and the like is greatly increased, but due to the characteristics of energy intermittence and volatility, the phenomenon of wind abandoning and light abandoning is serious at present, and a compensation power station needs to be established.
At present, the existing various energy sources control short-term and real-time output mainly depends on scheduling notification, and two adjusting methods are available. One is that the wind power plant and the photovoltaic electric field operate without limit output, and the total output curve is made to conform to the daily plan curve by the hydropower plant (including a pumped storage power station), the thermal power plant or other conventional power plants participating in the AGC (Automatic Generation Control) of the energy centralized Control platform and performing real-time compensation adjustment. The mode has the defects that the requirement on the adjusting capacity of the conventional power station is high, and under the condition of severe weather change, the conventional power station power plant is adjusted frequently, the adjusting load change amplitude is large, the service life of a unit is influenced, and the maintenance cost of the power plant is increased. And the other is that the AGC of the wind power plant and the photovoltaic power plant limits output operation, and the conventional power station normally operates according to a planned curve. The disadvantage of this method is that the complementary real-time regulation is insufficient and the wind energy and light energy cannot be fully utilized.
The current AGC strategy cannot fully utilize the complementary effect among various energy sources in short-term and real-time power generation scheduling. In order to fully utilize new energy and carry out intensive management on the new energy, each large power generation enterprise establishes or is establishing a related centralized control platform. A set of AGC system needs to be established on the platform and AGC output distribution strategy is perfected, so that the method can meet the automatic load adjustment of various energy power stations.
Disclosure of Invention
Aiming at the defects in the prior art, the active power distribution method of the wind, light and water based energy centralized control platform provided by the invention solves the problem of insufficient utilization of complementary effect of new energy in the prior art, and improves the consumption capacity of a power grid to the new energy on the premise of ensuring the safe and stable operation of the power grid.
In order to achieve the purpose of the invention, the invention adopts the technical scheme that: an active power distribution method of an energy centralized control platform based on wind, light and water comprises the following steps:
s1, measuring current wind energy and light energy through a wind-light output prediction module of the energy centralized control platform to obtain a wind power active power prediction value and a photovoltaic power active power prediction value;
s2, obtaining a wind power active power output value, a photovoltaic power active power output value and a hydropower active power output compensation value which enable the prior wind and photovoltaic output objective function to be absorbed maximally through machine learning training according to the wind power active power predicted value and the photovoltaic power active power predicted value;
and S3, correcting the wind power active power output value, the photovoltaic power active power output value and the hydropower active power output compensation value according to an intelligent power distribution method, and realizing active power distribution of wind power, photovoltaic power and hydropower.
Further, the preferential elimination of the wind-solar output objective function in step S2 is:
Figure BDA0002585690540000021
wherein T is the total time interval, T is the current time interval, f1To preferentially absorb the wind-solar output objective function, Pw,tFor the wind-power active power output value, Ps,tFor photovoltaic active power output value, Δ Ph,tIs a hydroelectric active power output compensation value, P'w,tIs wind power active power predicted value, P's,tAnd predicting the active power of the photovoltaic power.
Further, step S3 includes the following substeps:
s31, judging whether the active power output demand value is larger than the sum of the wind power active power predicted value and the photovoltaic power active power predicted value, if so, jumping to the step S32, and if not, jumping to the step S33;
s32, training through a machine learning method according to the intelligent power limiting condition, and correcting the wind power active power output value, the photovoltaic power active power output value and the hydropower active power output compensation value to enable the objective function f to be2Obtaining the minimum optimal solution, and realizing active power distribution of wind power, photovoltaic power and hydropower;
s33, training through a machine learning method according to the intelligent power limiting condition, and correcting the wind power active power output value, the photovoltaic power active power output value and the hydropower active power output compensation value to enable the objective function f to be3And obtaining the minimum optimal solution, and realizing active power distribution of wind power, photovoltaic power and hydropower.
Further, the objective function f2Comprises the following steps:
minf2＝C1·ΔPh,t+C2·W(T)+C3·N(T) (2)
wherein, C1As hydroelectric active power weighting coefficient, C2As a weighting factor for water consumption of water and electricity, C3The weight coefficient of vibration and abrasion of the hydroelectric generating set, W (T) is water consumption of water and electricity, and N (T) is the number of times of crossing a vibration area in the whole power generation field time of the hydroelectric generating set.
Further, the objective function f3Comprises the following steps:
minf3＝C4·(PAGC-P′AGC)+C5 (3)
wherein, PAGCIs an active power output requirement value, P'AGCFor actually delivering the total value of active power, C4Penalty factor for power deviation, C5The total depreciation cost of the wind turbine generator and the photovoltaic generator is reduced.
Further, the water and electricity consumption w (t) is:
Figure BDA0002585690540000031
wherein T is total time period, T is current time period, n is number of hydroelectric generating sets, WF (P)iH, t) is water consumption corresponding to the active power output value of the ith hydroelectric generating set under the H water head in the t period, WC (i, t) is the water consumption for starting and stopping the ith hydroelectric generating set in the t period, and WN (P)iH, t) is the water consumption of the ith hydroelectric generating set under the H water head for compensating wind power and photovoltaic power in the t time period, and Q (P)iAnd H, t) is the flow of the ith hydroelectric generating set under the H water head in the t period.
Further, the number of times N (T) of crossing the vibration region in the full power generation field time of the hydroelectric generating set is as follows:
Figure BDA0002585690540000041
wherein T is the total time interval, T is the current time interval, n is the number of the hydroelectric generating sets, PiDown1Is the lower limit, P, of the first vibration zone of the ith hydroelectric generating setiUp1Is the upper limit, P, of the first vibration region of the ith hydroelectric generating setiDown2Is the lower limit, P, of the second vibration zone of the ith hydroelectric generating setiUp2Is the upper limit, P, of the second vibration region of the ith hydroelectric generating seti,1For the active power output value, P, of the first vibration zone of the ith hydroelectric generating seti,2For the output value of active power, P, of the second vibration zone of the ith hydroelectric generating setiAnd (t) is an active power output value which does not belong to the vibration region in the period of t.
Further, the smart power limiting conditions in the steps S32 and S33 include the following equalities and inequalities:
power balance constraint
Figure BDA0002585690540000042
Unit output constraint
Figure BDA0002585690540000043
Restriction of hydroelectric vibration region
Figure BDA0002585690540000044
Adjusting dead zone constraint | Δ P>0.01Pspecified
Slope rate limitation
Figure BDA0002585690540000045
Starting condition P of hydroelectric generating setAGC-(P′w,t+P′s,t)+Pb>∑PT
Number N of starting hydroelectric generating seth,Open＝(PAGC-P′w,t-P′s,t+Pb-∑PT)/Pm+1
Hydroelectric generating set shutdown condition sigma PT-(PAGC-P′w,t-P′s,t+Pb)>Pm
Number N of hydroelectric generating set stopsh,Close＝[∑PT-(PAGC-P′w,t-P′s,t+Pb)]/Pm
Condition P for hydraulic power generating unit to quit energy centralized control platformAGC<θ1*(P′w,t+P′s,t)
Shutdown condition P of wind turbine generatorAGC＜＜θ2*P′w,t-Pwj
Starting condition of wind turbine generator
Figure BDA0002585690540000051
Wherein, PAGCValue required for active power output, Pw,tFor the wind-power active power output value, Ps,tFor photovoltaic active power output value, Δ Ph,tIs the compensation value of the active power output of the hydropower,
Figure BDA0002585690540000052
the lower limit of the output value of the active power of the hydropower station,
Figure BDA0002585690540000053
the upper limit of the output value of the active power of the hydropower station,
Figure BDA0002585690540000054
is the lower limit of the output value of the wind power active power,
Figure BDA0002585690540000055
is the upper limit of the output value of the wind power active power,
Figure BDA0002585690540000056
is the lower limit of the photovoltaic active power output value,
Figure BDA0002585690540000057
is the upper limit of the output value of the active power of the photovoltaic powerwiFor the output value of active power, P, during normal operation of the ith hydroelectric generating setiDown1Is the lower limit, P, of the first vibration zone of the ith hydroelectric generating setiUp1Is the upper limit, P, of the first vibration region of the ith hydroelectric generating setiDown2Is the lower limit, P, of the second vibration zone of the ith hydroelectric generating setiUp2Is the upper limit of the second vibration area of the ith hydroelectric generating set, and the delta P is the active power generation increment of hydropower, wind power or photovoltaic powerspecifiedRated power value R of hydroelectric, wind or photovoltaic generator setitFor the gradient rate, R, of the ith hydroelectric generating set in the t periodidownFor the i-th hydroelectric generating set descending and climbing speed limit value, RiupFor the ascending ramp rate limit value, R, of the ith hydroelectric generating setjtIs the j th time period of tClimbing rate, R, of a typhoon generator setjdownFor the jth wind power unit descending and climbing speed limit value, RjupIs the ascending and climbing speed limit value, R, of the jth wind turbine generator setktIs the climbing rate R of the kth photovoltaic generator set in the t periodkdownFor the kth photovoltaic generator set descending and climbing speed limit value, RkupIs the rising climbing speed limit value of the kth photovoltaic generator set, P'w,tIs wind power active power predicted value, P's,tFor photovoltaic active power prediction, PbFor reserve capacity of rotation of the hydroelectric power plant, ∑ PTAdjustable capacity, N, of grid-connected units for an already deployed energy centralized control platformh,OpenFor starting up the hydroelectric generating sets, PmFor the maximum capacity of a single machine of a hydroelectric generating set, Nh,CloseFor number of stops of hydroelectric generating sets, theta1The weighting coefficient of the hydroelectric generating set is in a value range of 0-1 theta2Weighting coefficients for the shutdown conditions of the wind turbine generator, wherein the value range is 0-1, PwjThe output value of active power theta of a single wind turbine3The value range of the starting condition weighting coefficient of the wind turbine generator is 0-1, and J is the total number of the wind turbine generator and is P'wjIs the active power predicted value of a single fan, l is the first fan,
Figure BDA0002585690540000058
and predicting the active power of all the fans which are not started.
In conclusion, the beneficial effects of the invention are as follows: the active power distribution method of the wind-light-water-based energy centralized control platform achieves the purpose of utilizing potential wind energy and potential light energy to the maximum extent by preferentially absorbing wind-light active power output values, compensates the wind-light active power output values by the hydroelectric active power output values, ensures that the total active power output values meet the set active power output requirement values, sets multiple constraints to constrain the wind-light active power output values, effectively reduces vibration abrasion of a unit, and enables the unit to maintain stable operation outside a vibration region.
Drawings
Fig. 1 is a flow chart of an active power distribution method of a wind, light and water-based energy centralized control platform.
Detailed Description
The following description of the embodiments of the present invention is provided to facilitate the understanding of the present invention by those skilled in the art, but it should be understood that the present invention is not limited to the scope of the embodiments, and it will be apparent to those skilled in the art that various changes may be made without departing from the spirit and scope of the invention as defined and defined in the appended claims, and all matters produced by the invention using the inventive concept are protected.
As shown in fig. 1, an active power distribution method for a wind, light and water based energy centralized control platform includes the following steps:
s1, measuring current wind energy and light energy through a wind-light output prediction module of the energy centralized control platform to obtain a wind power active power prediction value and a photovoltaic power active power prediction value;
s2, obtaining a wind power active power output value, a photovoltaic power active power output value and a hydropower active power output compensation value which enable the prior wind and photovoltaic output objective function to be absorbed maximally through machine learning training according to the wind power active power predicted value and the photovoltaic power active power predicted value;
in step S2, the preferential elimination of the wind-solar output objective function is:
Figure BDA0002585690540000071
wherein T is the total time interval, T is the current time interval, f1To preferentially absorb the wind-solar output objective function, Pw,tFor the wind-power active power output value, Ps,tFor photovoltaic active power output value, Δ Ph,tIs a hydroelectric active power output compensation value, P'w,tIs wind power active power predicted value, P's,tAnd predicting the active power of the photovoltaic power.
And S3, correcting the wind power active power output value, the photovoltaic power active power output value and the hydropower active power output compensation value according to an intelligent power distribution method, and realizing active power distribution of wind power, photovoltaic power and hydropower.
The step S3 includes the following sub-steps:
s31, judging whether the active power output demand value is larger than the sum of the wind power active power predicted value and the photovoltaic power active power predicted value, if so, jumping to the step S32, and if not, jumping to the step S33;
s32, training through a machine learning method according to the intelligent power limiting condition, and correcting the wind power active power output value, the photovoltaic power active power output value and the hydropower active power output compensation value to enable the objective function f to be2Obtaining the minimum optimal solution, and realizing active power distribution of wind power, photovoltaic power and hydropower;
objective function f2Comprises the following steps:
minf2＝C1·ΔPh,t+C2·W(T)+C3·N(T) (2)
wherein, C1As hydroelectric active power weighting coefficient, C2As a weighting factor for water consumption of water and electricity, C3The weight coefficient of vibration and abrasion of the hydroelectric generating set, W (T) is water consumption of water and electricity, and N (T) is the number of times of crossing a vibration area in the whole power generation field time of the hydroelectric generating set.
The water consumption W (T) of the hydropower is as follows:
Figure BDA0002585690540000072
wherein T is total time period, T is current time period, n is number of hydroelectric generating sets, WF (P)iH, t) is water consumption corresponding to the active power output value of the ith hydroelectric generating set under the H water head in the t period, WC (i, t) is the water consumption for starting and stopping the ith hydroelectric generating set in the t period, and WN (P)iH, t) is the water consumption of the ith hydroelectric generating set under the H water head for compensating wind power and photovoltaic power in the t time period, and Q (P)iAnd H, t) is the flow of the ith hydroelectric generating set under the H water head in the t period.
The number N (T) of times of crossing the vibration region in the full power generation field time of the hydroelectric generating set is as follows:
Figure BDA0002585690540000081
wherein T is the total time interval, T is the current time interval, n is the number of the hydroelectric generating sets, PiDown1Is the lower limit, P, of the first vibration zone of the ith hydroelectric generating setiUp1Is the upper limit, P, of the first vibration region of the ith hydroelectric generating setiDown2Is the lower limit, P, of the second vibration zone of the ith hydroelectric generating setiUp2Is the upper limit, P, of the second vibration region of the ith hydroelectric generating seti,1For the active power output value, P, of the first vibration zone of the ith hydroelectric generating seti,2For the output value of active power, P, of the second vibration zone of the ith hydroelectric generating setiAnd (t) is an active power output value which does not belong to the vibration region in the period of t.
Under the condition that the active power output demand value is larger than the sum of the wind power active power predicted value and the photovoltaic power active power predicted value, the active power output values of the wind turbine generator and the photovoltaic generator are not limited, so that the wind power and the photovoltaic power are consumed maximally, the hydroelectric generator compensates power loss caused by randomness of the active power output values of the wind turbine generator and the photovoltaic generator, and the hydroelectric active power output value PhThe smaller the compensation of the hydroelectric generator set to the compensation wind turbine set and the photovoltaic generator set is, the smaller the deviation between the active power output demand value and the active power output values of the wind turbine set and the photovoltaic generator set is.
S33, training through a machine learning method according to the intelligent power limiting condition, and correcting the wind power active power output value, the photovoltaic power active power output value and the hydropower active power output compensation value to enable the objective function f to be3And obtaining the minimum optimal solution, and realizing active power distribution of wind power, photovoltaic power and hydropower.
Objective function f3Comprises the following steps:
minf3＝C4·(PAGC-P′AGC)+C5 (3)
wherein, PAGCIs an active power output requirement value, P'AGCFor actually delivering the total value of active power, C4Penalty factor for power deviation, C5The total depreciation cost of the wind turbine generator and the photovoltaic generator is reduced.
Under the condition that the active power output demand value is smaller than the sum of the wind power active power predicted value and the photovoltaic power active power predicted value, the electric energy generated by the hydroelectric generating set is stored through the energy centralized control platform, the wind generating set and the photovoltaic generating set are properly closed, and the wind generating set and the photovoltaic generating set are adjusted according to the active power output demand value.
The smart power limiting conditions in step S32 and step S33 include the following equalities and inequalities:
power balance constraint
Figure BDA0002585690540000094
Unit output constraint
Figure BDA0002585690540000091
GB/T19963 and 2011 technical specification of accessing the wind power plant to the power system provide a limit value for the maximum value of the active power change of the wind power plant so as to meet the requirement of safe and stable operation of the power system, see Table 1.
Maximum value table I of active change of wind power plant under normal operation condition
Figure BDA0002585690540000092
GB/T19964 and 2012 technical provisions for accessing the photovoltaic power station to the power system provide a limit to the active power of the photovoltaic power station, the change rate of the active power of the photovoltaic power station should not exceed 10% installed capacity/min, and the change rate of the active power of the photovoltaic power station, which is caused by the reduction of solar irradiance, is allowed to exceed the limit.
Restriction of hydroelectric vibration region
Figure BDA0002585690540000093
The restriction of the hydroelectric vibration area is used for reducing the times of the unit crossing the vibration area, so that the vibration abrasion of the unit can be effectively reduced, and the output of the unit is maintained to stably run outside the vibration area.
Adjusting dead zone constraint | Δ P>0.01Pspecified
The method and the device avoid frequent actions of unit adjustment caused by tiny power fluctuation by adjusting dead zone constraint, and avoid the assessment penalty of scheduling caused by substandard active adjustment, and the invention takes the unit rated power value with 1% of the dead zone adjustment, namely the unit rated power value with the absolute value of the actively issued increment larger than 1%.
Slope rate limitation
Figure BDA0002585690540000101
Starting condition P of hydroelectric generating setAGC-(P′w,t+P′s,t)+Pb>∑PT
Number N of starting hydroelectric generating seth,Open＝(PAGC-P′w,t-P′s,t+Pb-∑PT)/Pm+1
Hydroelectric generating set shutdown condition sigma PT-(PAGC-P′w,t-P′s,t+Pb)>Pm
Number N of hydroelectric generating set stopsh,Close＝[∑PT-(PAGC-P′w,t-P′s,t+Pb)]/Pm
Condition P for hydraulic power generating unit to quit energy centralized control platformAGC<θ1*(P′w,t+P′s,t)
And when the active power output demand value is small, the hydroelectric generating set is shut down.
Shutdown condition P of wind turbine generatorAGC＜＜θ2*P′w,t-Pwj
The shutdown condition of the wind turbine is used for the fan with the worst wind resource.
Starting condition of wind turbine generator
Figure BDA0002585690540000102
The starting condition of the wind turbine generator is used for starting the fan with good wind resources according to the active power output demand value.
Wherein, PAGCValue required for active power output, Pw,tFor the wind-power active power output value, Ps,tFor photovoltaic active power output value, Δ Ph,tIs the compensation value of the active power output of the hydropower,
Figure BDA0002585690540000103
the lower limit of the output value of the active power of the hydropower station,
Figure BDA0002585690540000104
the upper limit of the output value of the active power of the hydropower station,
Figure BDA0002585690540000105
is the lower limit of the output value of the wind power active power,
Figure BDA0002585690540000106
is the upper limit of the output value of the wind power active power,
Figure BDA0002585690540000107
is the lower limit of the photovoltaic active power output value,
Figure BDA0002585690540000108
is the upper limit of the output value of the active power of the photovoltaic powerwiFor the output value of active power, P, during normal operation of the ith hydroelectric generating setiDown1Is the lower limit, P, of the first vibration zone of the ith hydroelectric generating setiUp1Is the upper limit, P, of the first vibration region of the ith hydroelectric generating setiDown2Is the lower limit, P, of the second vibration zone of the ith hydroelectric generating setiUp2Is the upper limit of the second vibration area of the ith hydroelectric generating set, and the delta P is the active power generation increment of hydropower, wind power or photovoltaic powerspecifiedRated power value R of hydroelectric, wind or photovoltaic generator setitFor the gradient rate, R, of the ith hydroelectric generating set in the t periodidownFor the i-th hydroelectric generating set descending and climbing speed limit value, RiupFor the ascending ramp rate limit value, R, of the ith hydroelectric generating setjtIs the climbing rate R of the jth wind turbine generator set in the t periodjdownFor the jth wind power unit descending and climbing speed limit value, RjupIs the ascending and climbing speed limit value, R, of the jth wind turbine generator setktIs the climbing rate R of the kth photovoltaic generator set in the t periodkdownFor the kth photovoltaic generator set descending and climbing speed limit value, RkupIs the rising climbing speed limit value of the kth photovoltaic generator set, P'w,tIs wind power active power predicted value, P's,tFor photovoltaic active power prediction, PbFor reserve capacity of rotation of the hydroelectric power plant, ∑ PTAdjustable capacity, N, of grid-connected units for an already deployed energy centralized control platformh,OpenFor starting up the hydroelectric generating sets, PmFor the maximum capacity of a single machine of a hydroelectric generating set, Nh,CloseFor number of stops of hydroelectric generating sets, theta1The weighting coefficient of the hydroelectric generating set is in a value range of 0-1 theta2Weighting coefficients for the shutdown conditions of the wind turbine generator, wherein the value range is 0-1, PwjThe output value of active power theta of a single wind turbine3The value range of the starting condition weighting coefficient of the wind turbine generator is 0-1, and J is the total number of the wind turbine generator and is P'wjIs the active power predicted value of a single fan, l is the first fan,
Figure BDA0002585690540000111
and predicting the active power of all the fans which are not started.
In conclusion, the beneficial effects of the invention are as follows: the active power distribution method of the wind-light-water-based energy centralized control platform achieves the purpose of utilizing potential wind energy and potential light energy to the maximum extent by preferentially absorbing wind-light active power output values, compensates the wind-light active power output values by the hydroelectric active power output values, ensures that the total active power output values meet the set active power output requirement values, sets multiple constraints to constrain the wind-light active power output values, effectively reduces vibration abrasion of a unit, and enables the unit to maintain stable operation outside a vibration region.

Claims (8)

1. An active power distribution method of an energy centralized control platform based on wind, light and water is characterized by comprising the following steps:
s1, measuring current wind energy and light energy through a wind-light output prediction module of the energy centralized control platform to obtain a wind power active power prediction value and a photovoltaic power active power prediction value;
s2, obtaining a wind power active power output value, a photovoltaic power active power output value and a hydropower active power output compensation value which enable the prior wind and photovoltaic output objective function to be absorbed maximally through machine learning training according to the wind power active power predicted value and the photovoltaic power active power predicted value;
and S3, correcting the wind power active power output value, the photovoltaic power active power output value and the hydropower active power output compensation value according to an intelligent power distribution method, and realizing active power distribution of wind power, photovoltaic power and hydropower.
2. The active power distribution method of the wind, light and water based energy centralized control platform according to claim 1, wherein the preferential absorption of the wind, light and power objective function in step S2 is as follows:
Figure FDA0002585690530000011
wherein T is the total time interval, T is the current time interval, f1To preferentially absorb the wind-solar output objective function, Pw，tFor the wind-power active power output value, Ps，tFor photovoltaic active power output value, Δ Ph，tIs a hydroelectric active power output compensation value, P'w，tIs wind power active power predicted value, P's，tAnd predicting the active power of the photovoltaic power.
3. The active power distribution method of the wind, light and water based energy centralized control platform according to claim 2, wherein the step S3 comprises the following sub-steps:
s31, judging whether the active power output demand value is larger than the sum of the wind power active power predicted value and the photovoltaic power active power predicted value, if so, jumping to the step S32, and if not, jumping to the step S33;
s32, according to intelligenceThe power limiting condition is trained through a machine learning method, and the wind power active power output value, the photovoltaic power active power output value and the hydropower active power output compensation value are corrected to enable the objective function f to be2Obtaining the minimum optimal solution, and realizing active power distribution of wind power, photovoltaic power and hydropower;
s33, training through a machine learning method according to the intelligent power limiting condition, and correcting the wind power active power output value, the photovoltaic power active power output value and the hydropower active power output compensation value to enable the objective function f to be3And obtaining the minimum optimal solution, and realizing active power distribution of wind power, photovoltaic power and hydropower.
4. The active power distribution method of the wind, light and water based energy centralized control platform according to claim 3, wherein the objective function f is2Comprises the following steps:
minf2＝C1·ΔPh，t+C2·W(T)+C3·N(T) (2)
wherein, C1As hydroelectric active power weighting coefficient, C2As a weighting factor for water consumption of water and electricity, C3The weight coefficient of vibration and abrasion of the hydroelectric generating set, W (T) is water consumption of water and electricity, and N (T) is the number of times of crossing a vibration area in the whole power generation field time of the hydroelectric generating set.
5. The active power distribution method of the wind, light and water based energy centralized control platform according to claim 3, wherein the objective function f is3Comprises the following steps:
minf3＝C4·(PAGC-P′AGC)+C5 (3)
wherein, PAGCIs an active power output requirement value, P'AGCFor actually delivering the total value of active power, C4Penalty factor for power deviation, C5The total depreciation cost of the wind turbine generator and the photovoltaic generator is reduced.
6. The active power distribution method of the wind, light and water based energy centralized control platform according to claim 4, wherein the water and electricity consumption W (T) is as follows:
Figure FDA0002585690530000021
wherein T is total time period, T is current time period, n is number of hydroelectric generating sets, WF (P)iH, t) is water consumption corresponding to the active power output value of the ith hydroelectric generating set under the H water head in the t period, WC (i, t) is the water consumption for starting and stopping the ith hydroelectric generating set in the t period, and WN (P)iH, t) is the water consumption of the ith hydroelectric generating set under the H water head for compensating wind power and photovoltaic power in the t time period, and Q (P)iAnd H, t) is the flow of the ith hydroelectric generating set under the H water head in the t period.
7. The active power distribution method of the wind, light and water based energy centralized control platform according to claim 4, wherein the number of times N (T) of crossing the vibration region in the whole power generation field time of the hydroelectric generating set is as follows:
Figure FDA0002585690530000031
wherein T is the total time interval, T is the current time interval, n is the number of the hydroelectric generating sets, PiDown1Is the lower limit, P, of the first vibration zone of the ith hydroelectric generating setiUp1Is the upper limit, P, of the first vibration region of the ith hydroelectric generating setiDown2Is the lower limit, P, of the second vibration zone of the ith hydroelectric generating setiUp2Is the upper limit, P, of the second vibration region of the ith hydroelectric generating seti，1For the active power output value, P, of the first vibration zone of the ith hydroelectric generating seti，2For the output value of active power, P, of the second vibration zone of the ith hydroelectric generating setiAnd (t) is an active power output value which does not belong to the vibration region in the period of t.
8. The active power distribution method of the wind, light and water based energy centralized control platform according to claim 3, wherein the intelligent power limiting conditions in the steps S32 and S33 comprise the following equations and inequalities:
power balance constraint
Figure FDA0002585690530000032
Unit output constraint
Figure FDA0002585690530000033
Restriction of hydroelectric vibration region
Figure FDA0002585690530000034
Adjusting dead zone constraint | Δ P | > 0.01Pspecified
Slope rate limitation
Figure FDA0002585690530000035
Starting condition P of hydroelectric generating setAGC-(P′w，t+P′s，t)+Pb＞∑PT
Number N of starting hydroelectric generating seth，Open＝(PAGC-P′w，t-P′s，t+Pb-∑PT)/Pm+1
Hydroelectric generating set shutdown condition sigma PT-(PAGC-P′w，t-P′s，t+Pb)＞Pm
Number N of hydroelectric generating set stopsh，Close＝[∑PT-(PAGC-P′w，t-P′s，t+Pb)]/Pm
Condition P for hydraulic power generating unit to quit energy centralized control platformAGC＜θ1*(P′w，t+P′s，t)
Shutdown condition P of wind turbine generatorAGC＜＜θ2*P′w，t-Pwj
Starting condition of wind turbine generator
Figure FDA0002585690530000041
Wherein, PAGCValue required for active power output, Pw，tFor the wind-power active power output value, Ps，tFor photovoltaic active power output value, Δ Ph，tIs the compensation value of the active power output of the hydropower,
Figure FDA0002585690530000042
the lower limit of the output value of the active power of the hydropower station,
Figure FDA0002585690530000043
the upper limit of the output value of the active power of the hydropower station,
Figure FDA0002585690530000044
is the lower limit of the output value of the wind power active power,
Figure FDA0002585690530000045
is the upper limit of the output value of the wind power active power,
Figure FDA0002585690530000046
is the lower limit of the photovoltaic active power output value,
Figure FDA0002585690530000047
is the upper limit of the output value of the active power of the photovoltaic powerwiFor the output value of active power, P, during normal operation of the ith hydroelectric generating setiDown1Is the lower limit, P, of the first vibration zone of the ith hydroelectric generating setiUp1Is the upper limit, P, of the first vibration region of the ith hydroelectric generating setiDown2Is the lower limit, P, of the second vibration zone of the ith hydroelectric generating setiUp2Is the upper limit of the second vibration area of the ith hydroelectric generating set, and the delta P is the active power generation increment of hydropower, wind power or photovoltaic powerspecifiedRated power value R of hydroelectric, wind or photovoltaic generator setitFor the gradient rate, R, of the ith hydroelectric generating set in the t periodidownFor the i-th hydroelectric generating set descending and climbing speed limit value, RiupFor the ith hydroelectric machineGroup ramp rate limit, RjtIs the climbing rate R of the jth wind turbine generator set in the t periodjdownFor the jth wind power unit descending and climbing speed limit value, RjupIs the ascending and climbing speed limit value, R, of the jth wind turbine generator setktIs the climbing rate R of the kth photovoltaic generator set in the t periodkdownFor the kth photovoltaic generator set descending and climbing speed limit value, RkupIs the rising climbing speed limit value of the kth photovoltaic generator set, P'w，tIs wind power active power predicted value, P's，tFor photovoltaic active power prediction, PbFor reserve capacity of rotation of the hydroelectric power plant, ∑ PTAdjustable capacity, N, of grid-connected units for an already deployed energy centralized control platformh，OpenFor starting up the hydroelectric generating sets, PmFor the maximum capacity of a single machine of a hydroelectric generating set, Nh，CloseFor number of stops of hydroelectric generating sets, theta1The weighting coefficient of the hydroelectric generating set is in a value range of 0-1 theta2Weighting coefficients for the shutdown conditions of the wind turbine generator, wherein the value range is 0-1, PwjThe output value of active power theta of a single wind turbine3The value range of the starting condition weighting coefficient of the wind turbine generator is 0-1, and J is the total number of the wind turbine generator and is P'wjIs the active power predicted value of a single fan, l is the first fan,
Figure FDA0002585690530000051
and predicting the active power of all the fans which are not started.
CN202010680642.6A 2020-07-15 2020-07-15 Active power distribution method of wind, light and water based energy centralized control platform Pending CN111917142A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010680642.6A CN111917142A (en) 2020-07-15 2020-07-15 Active power distribution method of wind, light and water based energy centralized control platform

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010680642.6A CN111917142A (en) 2020-07-15 2020-07-15 Active power distribution method of wind, light and water based energy centralized control platform

Publications (1)

Publication Number Publication Date
CN111917142A true CN111917142A (en) 2020-11-10

Family

ID=73280142

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010680642.6A Pending CN111917142A (en) 2020-07-15 2020-07-15 Active power distribution method of wind, light and water based energy centralized control platform

Country Status (1)

Country Link
CN (1) CN111917142A (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113890108A (en) * 2021-08-24 2022-01-04 王浩 Horizontal type water pumping and energy storage based wind-solar-water energy storage multi-energy complementary system
CN114884137A (en) * 2022-07-07 2022-08-09 中国长江三峡集团有限公司 Power control method and device, electronic equipment and storage medium
JP7454720B2 (en) 2022-02-15 2024-03-22 中国長江電力股▲ふん▼有限公司 How a hydropower plant start/stop unit quickly crosses the vibration area by AGC

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102332730A (en) * 2011-08-17 2012-01-25 国家电网公司 Method and system for controlling generated output of renewable energy source
CN102623989A (en) * 2012-03-28 2012-08-01 湖南大学 Method for optimization and configuration of intermittent distributed generation (DG)
CN103457313A (en) * 2013-07-01 2013-12-18 中国水利水电科学研究院 Wind and solar general type new energy intelligent control system and method
CN105048516A (en) * 2015-08-18 2015-11-11 四川大学 Wind-light-water-fire multi-source complementary optimization scheduling method

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102332730A (en) * 2011-08-17 2012-01-25 国家电网公司 Method and system for controlling generated output of renewable energy source
CN102623989A (en) * 2012-03-28 2012-08-01 湖南大学 Method for optimization and configuration of intermittent distributed generation (DG)
CN103457313A (en) * 2013-07-01 2013-12-18 中国水利水电科学研究院 Wind and solar general type new energy intelligent control system and method
CN105048516A (en) * 2015-08-18 2015-11-11 四川大学 Wind-light-water-fire multi-source complementary optimization scheduling method

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
赵泽: "风光水互补发电系统有功控制问题研究", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113890108A (en) * 2021-08-24 2022-01-04 王浩 Horizontal type water pumping and energy storage based wind-solar-water energy storage multi-energy complementary system
JP7454720B2 (en) 2022-02-15 2024-03-22 中国長江電力股▲ふん▼有限公司 How a hydropower plant start/stop unit quickly crosses the vibration area by AGC
CN114884137A (en) * 2022-07-07 2022-08-09 中国长江三峡集团有限公司 Power control method and device, electronic equipment and storage medium

Similar Documents

Publication Publication Date Title
CN106992556B (en) Optimal scheduling method based on hybrid power supply multi-time scale complementation
CN111917142A (en) Active power distribution method of wind, light and water based energy centralized control platform
CN104795846A (en) Optimized operation method of pumped-storage power station and wind power combined system
CN112234655A (en) Source network coordination peak regulation optimization method for safety and stability of transmitting-end power grid
CN112736985B (en) Output distribution method of water-light joint scheduling considering load characteristics of receiving end
CN112886645B (en) New energy power system operation simulation method based on ultrahigh hydrogen energy proportion
CN112018824A (en) Power grid coordination control method based on water-light complementation
CN110880761A (en) P2P platform-based wind-solar pumped storage hybrid system joint scheduling method
CN110768302A (en) Evaluation and regulation method for renewable energy consumption capability of regional power grid
CN114069688A (en) Multi-power-supply capacity layout planning method based on time sequence production simulation
CN107910891B (en) A kind of distributed photovoltaic cluster voltage dual-layer optimization droop control method
CN110336308B (en) Opportunity constraint-based active power distribution network economic dispatching method
CN109103894B (en) Reactive power control method for water-light complementary power station
Wang et al. Multi-objective optimal dispatch of wind-integrated power system based on distributed energy storage
CN110797888A (en) Power system scheduling method based on flexible direct current power transmission and power storage station energy storage
CN114123248B (en) Power grid frequency modulation operation control method and system using new energy primary frequency modulation priority
CN115659666A (en) Virtual power plant wind-solar combined optimization scheduling method considering comprehensive demand response
CN116245680A (en) Photovoltaic absorption rate calculation method based on complementation in water, light and month of clean energy base
CN115719973A (en) Distributed photovoltaic grid-connected voltage comprehensive treatment method and system
CN112600202B (en) Method for calculating optimal power flow of power grid with controllable phase shifter considering randomness of new energy
CN112821464B (en) Renewable energy source and thermal power generation coupling system scheduling model through same grid point
CN115473282A (en) Cascade hydroelectric and photovoltaic complementary power generation system and control method
Xu et al. Real-time dispatching and coordinated control of large capacity wind power integration
CN112801816A (en) Resource optimization scheduling method for total benefits of wind, light and water complementary system
CN110417002B (en) Optimization method of island micro-grid energy model

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20201110

RJ01 Rejection of invention patent application after publication