CN115912427A - Water-wind-light-storage integrated capacity configuration method considering wind abandoning and light abandoning upper limit - Google Patents
Water-wind-light-storage integrated capacity configuration method considering wind abandoning and light abandoning upper limit Download PDFInfo
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Abstract
The invention discloses a water-wind-light-storage integrated capacity configuration method considering a wind abandoning and light abandoning upper limit, which comprises the following steps: describing wind-solar output characteristics to obtain the installed output process of each month of typical solar wind photoelectric units; considering the short-term wind-light output uncertainty, generating a wind-light combined actual output typical scene in a certain day by utilizing a Latin hypercube sampling and k-means clustering method to construct an inner layer optimization scheduling model, and solving to obtain a typical daily operation process of each month of each power supply; traversing and combining the outer layers, and constructing an evaluation system, wherein evaluation indexes comprise peak regulation performance of the water, wind and light storage complementary system, annual consumption of wind and light electric quantity of the complementary system and annual net profit of the complementary system; traversing the wind-solar energy storage capacity combination, and calculating an evaluation index under each configuration combination according to a result obtained by solving the inner layer model; analyzing the capacity of wind-photovoltaic access supported by water energy storage, and giving an optimal configuration scheme; the wind and light resources are prevented from being insufficiently used or wasted, and the method has certain popularization significance.
Description
Technical Field
The invention belongs to the technical field of wind, light and water storage, and particularly relates to a water, wind, light and water storage integrated capacity configuration method considering wind abandoning and light abandoning upper limits.
Background
The solar photovoltaic industry and the wind power are used as relatively mature industries in a new energy industry system.
With the increase of the proportion of photovoltaic and wind power installation, attention must be paid to the phenomenon of abandoning wind and light. When the proportion of the generated energy of the wind power generation and the photovoltaic power generation exceeds 10%, the limit power is reduced to below 1%. In order to improve wind power photovoltaic absorption electric quantity and further reduce light rejection rate, the complementary characteristics of water, wind and light storage must be fully considered, uncertainty of short-term wind and light output is considered, and capacity configuration of a water, wind and light storage complementary system is reasonably planned.
At present, a plurality of scholars at home and abroad research the water-wind-solar-energy storage complementary operation, mainly focusing on the problems of a water-light complementary short-term daily-scale scheduling model and the stability of hydropower to photovoltaic output fluctuation, and the like, and the research on the capacity configuration problem of a basin-level water-wind-energy storage integrated base is less.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the method comprises the steps that a basin-level water, wind and solar energy storage complementary system is taken as a research object, the long-term and short-term complementary characteristics of each power supply, wind power photovoltaic short-term output uncertainty, wind power photovoltaic electricity-abandoning upper limit and other constraints are comprehensively considered, and the upper limit of the basin capable of supporting wind photovoltaic access and the optimal capacity configuration combination of wind, light and energy storage under a certain evaluation system are given; the problems that in the prior art, the problem of a short-term daily scale scheduling model mainly focused on water-light complementation, the stability of hydropower to photovoltaic output fluctuation and the like are solved, and the problem of capacity configuration of a basin-level water-wind-light-storage integrated base is blank in research and the like are solved.
The technical scheme of the invention is as follows:
a water-wind-light-storage integrated capacity configuration method considering wind abandoning and light abandoning upper limits comprises the following steps:
Calculating the historical wind power photovoltaic unit installed power process according to meteorological data, classifying according to months, and taking the power coefficient process obtained by different frequency calculation (the design guarantee rate P = 50%) as the unit installed power process of the month representing day:
in the formula (I), the compound is shown in the specification,
the output power of the photovoltaic power station at the time t is MW; />
Installed capacity, MW, for the photovoltaic power station; SR t Actual solar irradiation intensity at the site of the photovoltaic power station at the moment t is W/square meter; t is t The actual temperature at the photovoltaic power station site at the time t is DEG C; SR stc The standard test condition is the solar irradiation intensity, W/square meter; t is stc Temperature, deg.C, under standard test conditions;
in the formula (I), the compound is shown in the specification,
wind power output at the moment t, MW; />
The installed capacity of the wind power station, MW; v. of c 、v R 、v F Respectively the cut-in wind speed, the rated wind speed and the cut-out wind speed of the fan, wherein the cut-in wind speed, the rated wind speed and the cut-out wind speed are m/s; v. of t The wind speed at the hub of the fan at the moment t is obtained;
when the ground wind speed is known, the conversion is carried out according to the following formula according to the height of the hub:
where v is the wind speed at height H, v 0 Is a height H 0 Wind speed, m/s; and n is the surface friction coefficient.
The method for generating the wind-solar combined actual output typical scene comprises the following steps: by analyzing the forecast output and the actual output of the historical photovoltaic wind power in the drainage basin, the wind-solar forecast error is considered to be in accordance with normal distribution, each time interval is independent, the mean value is 0, and the standard deviation is related to the installed capacity and the forecast output value in the current time interval; and obtaining respective wind and light prediction error typical scenes by adopting a Latin hypercube sampling and k-means clustering method, and carrying out Cartesian product operation to obtain wind and light combined prediction error typical scenes and occurrence probability.
The objective function for constructing the inner-layer optimized scheduling model is as follows: considering the peak regulation effect of the complementary system in the power grid, wherein the target function is that the average residual load variance is minimum;
wherein S is the total number of typical scenes, S =12; s is a typical scene number, S =1,2, …, S; t is the number of scheduling time periods in a specific scene, and T =24; t is the time interval number, T =1,2, …, T; the residual load of the system at the time t under the scene of s, MW; the average value of the system residual load under the scene of s, MW;
respectively a system load, a photovoltaic predicted output at the time t under the scene of s,Wind power output prediction, energy storage plan charging, energy storage plan discharging, MW; n is the number of hydropower stations, N is the serial number of the hydropower stations, N =1,2, …, N; />
And (5) the planned output of the hydropower station n at the time t under the scene of s, and MW.
The comprehensive consideration conventional step water and electricity restraint, energy storage operation restraint, flexibility deposit restraint and abandon wind and abandon light upper limit include:
and (3) water level control restraint from beginning to end: year initial water level control, when the reservoir regulation performance is more than or equal to the season regulation, year end water level control is carried out on the reservoir;
in the formula (I), the compound is shown in the specification,
begin_Z n respectively meeting the water level and water level control requirements at the time of a typical scene t =0 at the beginning of the year of the n hydropower stations at 1 month and day; />
end_Z n Respectively meeting the control requirements of the end-of-year water level and the end-of-year water level of the n hydropower stations;
long and short term water balance constraint:
in the formula (I), the compound is shown in the specification,
respectively two adjacent scenes, i.e. adjacent monthsThe initial monthly storage capacity of the hydropower station; Δ d is the number of days of the month; />
The storage capacity of the hydropower station h at the moment t under the scene of s is shown; />
The method comprises the following steps of (1) obtaining the flow of a hydropower station n in a t-moment interval under a s scene;
the flow of an upstream power station of a hydropower station n is taken out of the reservoir at the time of t-dt under the scene of s; dt is water flow lag time when an upstream power station goes out of the reservoir and reaches a hydropower station h; Δ t is the time period hours;
energy storage operation constraints including initial energy storage capacity, capacity balance and charge-discharge state, assuming that the charge-discharge duration of the energy storage is equal to the hours of a time period, and the average charge-discharge power of the time period is the same as the numerical value of charge-discharge electric energy;
E s,0 ＝E s,begin
in the formula, E s,0 ，E s,begin Respectively setting the initial energy storage capacity and the initial capacity control requirement under the scene of s, and setting MW & h; e s,t The residual capacity of the energy storage system at the moment t under the scene of s is MW & h;
respectively the discharging power and the charging power at the t moment of the energy storage system in the s scene, and MW; />
The energy storage discharge and charging efficiency is achieved; tau is es Is the self-discharge rate of the energy storage system;
flexibility reserve constraints: the hydropower and the stored energy are taken into consideration as an adjustable power supply to provide flexibility storage constraint for wind and light output fluctuation, including down regulation capability when wind and light fluctuate upwards and up regulation capability when wind and light fluctuate downwards;
in the formula (I), the compound is shown in the specification,
adjusting up and down capacities, MW, of hydropower energy storage at t moment under s scene; />
Respectively representing the upper limit and the lower limit of the output power, MW of the hydropower station n at the moment t under the scene s; />
Respectively representing the upper and lower capacity limits of the stored energy at the moment t in the scene of s;
maximum wind and light abandoning restraint:
in the formula, K is the number of scene of the wind-solar combined prediction error, and K is the sequence number of the scene;
the prediction error value is a prediction error value MW in the kth wind-solar combined prediction error scene at the t moment under the s typical day scene; />
The difference value of the wind-light fluctuation at the t moment and the hydropower stored energy down-regulation capacity at the s typical day scene is MW; />
The actual wind curtailment value at the time t under the s typical day scene is positive number MW; alpha is the maximum wind and light abandoning proportion coefficient;
and (3) limiting and constraining the channel:
in the formula (I), the compound is shown in the specification,
and the upper limit of the overall transmission capacity at the moment t in the s typical scene.
The construction criteria for constructing the evaluation system are as follows:
criterion one, peak regulation performance of a water-wind-light storage complementary system: the target value obtained by solving according to the simulation calculation model of the complementary system is the average residual load variance, and the peak regulation capacity of the complementary system is reflected;
and according to a second criterion, the complementary system consumes wind, solar and electric quantity in year:
criterion three, complementing the annual net profit of the system:
π＝TR-TC
in the formula, pi, TR and TC are respectively the annual power generation profit, the total power generation profit and the total power generation cost of the complementary system;
in the formula P wind,solar 、P water The price of the wind, light, electricity and water is the price of the power on the internet.
The power generation cost of the complementary system is divided into two parts, namely annual reduced investment cost and annual operation and maintenance cost, wherein the annual operation and maintenance cost is considered as the annual power generation benefit of the complementary system multiplied by a coefficient, and the specific expression is as follows:
in the formula, k solar 、k wind k es The unit capacity cost, unit/MW, of the photovoltaic power station, the wind power station and the energy storage equipment respectively;
respectively installing capacities, MW, for a photovoltaic power station, a wind power station and energy storage equipment to be planned; l is solar 、L wind 、L es The service life of the photovoltaic power station, the wind power station and the energy storage equipment is respectively set; l is the current rate; n is the planned service life of the water-wind-light-storage complementary system; omega is the proportion of annual operation and maintenance cost of the complementary system to the power generation benefit.
The invention has the beneficial effects that:
the method utilizes meteorological data to calculate and analyze the river basin wind-solar-electric output characteristics, utilizes a scene generation method to describe the wind-solar-electric short-term output uncertainty, and considers the wind abandon caused by the insufficient flexibility reserve in an inner layer optimization model. The long-term and short-term nesting considers the long-term regulation and storage capacity of hydropower, the annual 8760 plan is simplified into a 12-month typical scene, and the calculation reasonability and the calculation efficiency are considered in planning and solving; the finally obtained configuration result provides reference for related planning work by combining the existing wind-solar energy storage scale and the long-range planning of the river basin, avoids insufficient utilization or waste of wind-solar energy resources, and has certain popularization significance.
Drawings
FIG. 1 is a schematic diagram illustrating wind power photovoltaic output characteristics;
FIG. 2 is a typical daily load chart for flood season;
FIG. 3 is a diagram of typical day flexibility reserve and electricity abandon load loss during a flood withering period;
FIG. 4 is an evaluation index diagram of a configuration scheme under the constraint of upper limits of different wind curtailment light curtailment rates.
Detailed Description
The invention provides an upper limit of a basin capable of supporting wind-photovoltaic access and an optimal capacity configuration combination of wind-photovoltaic storage under a certain evaluation system by taking a basin-level water-wind-solar storage complementary system as a research object under the background of large-scale wind-solar integration and comprehensively considering the long-term and short-term complementary characteristics of each power supply, the uncertainty of wind-photovoltaic short-term output, the upper limit of wind-photovoltaic electricity abandonment and other constraints. The method comprises the following specific steps:
(1) Wind power photovoltaic output characteristics, calculating historical wind power photovoltaic unit installed output processes through meteorological data, classifying according to months, and taking an output coefficient process obtained through frequency calculation (design guarantee rate P = 50%) as a unit installed output process of a month representative day.
In the formula (I), the compound is shown in the specification,
the output power of the photovoltaic power station at the time t is MW; />
Installed capacity, MW, of the photovoltaic power station; SR t The actual solar irradiation intensity at the photovoltaic power station site at the moment t is W/square meter; t is t The actual temperature at the site of the photovoltaic power station at the moment t is in DEG C; SR stc The solar radiation intensity is W/square meter under the standard test condition; t is a unit of stc Is the temperature at standard test conditions, deg.C.
In the formula (I), the compound is shown in the specification,
wind power output at the moment t, MW; />
The installed capacity of the wind power station, MW; v. of c 、v R 、v F Respectively the cut-in wind speed, the rated wind speed and the cut-off of the fanWind outlet speed, m/s; v. of t And the wind speed at the hub of the fan at the moment t is m/s.
When the ground wind speed is known, the conversion is carried out according to the following formula according to the height of the hub:
where v is the wind speed at height H, v 0 Is a height H 0 The wind speed of (d), m/s; n is the surface friction coefficient of 0.1-0.4.
(2) And generating a wind and light combined output scene, and analyzing the historical photovoltaic wind power predicted output and actual output of the drainage basin, wherein the wind and light predicted error is considered to be subjected to normal distribution, each time interval is independent, the mean value is 0, and the standard deviation is related to the installed capacity and the predicted output value in the current time interval. And obtaining respective wind and light prediction error typical scenes by adopting a Latin hypercube sampling and k-means clustering method, and carrying out Cartesian product operation to obtain wind and light combined prediction error typical scenes and occurrence probability thereof.
(3) An inner layer simulation calculation model is constructed under a specific configuration combination, and a water-wind-light-storage operation process is solved, wherein the model is described as follows:
(1) an objective function: and considering the peak regulation effect of the complementary system in the power grid, and the target function is that the average residual load variance is minimum.
Wherein S is the total number of typical scenes, S =12; s is a typical scene number, S =1,2, …, S; t is the number of scheduling time periods under a specific scene, and T =24; t is the time interval number, T =1,2, …, T; for time t in s sceneSystem residual load, MW; the average value of the system residual load under the scene of s, MW;
respectively representing system load, photovoltaic predicted output, wind power predicted output, energy storage planned charging, energy storage planned discharging and MW at the moment t under the scene of s; n is the number of hydropower stations, N is the serial number of the hydropower stations, N =1,2, …, N; />
And (5) the planned output of the hydropower station n at the time t under the scene of s, and MW.
(2) And (4) controlling and restraining the water level at the beginning and end of the year, controlling the water level at the beginning of the year, and controlling the water level at the end of the year when the regulation performance of the reservoir is more than or equal to that of the season.
In the formula (I), the compound is shown in the specification,
begin_Z n respectively setting water level and water level control requirements m at the time when a typical scene t =0 in the early year (1 month) day of the n hydropower stations; />
end_Z n N hydropower station end-of-year water level and end-of-year water level control requirements, m, respectively.
(3) Long and short term water balance constraint.
In the formula (I), the compound is shown in the specification,
respectively two adjacent scenes, namely the initial capacity of hydropower stations in adjacent months, ten thousand meters 3 (ii) a Δ d is the number of days of the month. In combination with>
Is the storage capacity of a hydropower station h at the moment t under the scene of s, ten thousand meters 3 ；/>
Is the flow of a hydropower station n in a t-time interval m under a s scene 3 /s；/>
The flow m of an upstream power station of a hydropower station n at the moment of t-dt under the s scene 3 S; dt is water flow delay from an upstream power station to a hydropower station h; Δ t is the number of hours of the period.
(4) And energy storage operation constraints including initial energy storage capacity, capacity balance and charging and discharging states, and the average charging and discharging power in a time period is the same as the charging and discharging power value on the assumption that the charging and discharging duration of the energy storage is equal to the hour in the time period, namely 1 h.
In the formula, E s,0 ，E s,begin Respectively setting the initial energy storage capacity and the initial capacity control requirement under the scene of s, and setting MW & h; e s,t The residual capacity of the energy storage system at the moment t under the scene of s is MW & h;
respectively the discharging power and the charging power at the t moment of the energy storage system in the s scene, and MW; />
The energy storage efficiency is discharged and charged; tau is es Is the self-discharge rate of the energy storage system.
(5) Flexibility storage constraints, namely the flexibility storage constraints provided by the adjustable power supply by using hydropower and energy storage for wind and light output fluctuation, including down-regulation capacity when wind and light fluctuate upwards and up-regulation capacity when wind and light fluctuate downwards, are taken into consideration.
In the formula (I), the compound is shown in the specification,
adjusting up and down capacities, MW, of the hydropower storage at t moment in s scene; />
Respectively representing the upper and lower output limits, MW of the hydropower station n at the moment t under the scene of s; />
The capacity upper and lower limits, MW & h, of the energy storage at the t moment under the s scene are respectively.
(6) Maximum wind and light abandoning constraint
In the formula, K is the number of scene of the wind-light joint prediction error, and K is the sequence number of the scene;
the prediction error value is a prediction error value MW in the kth wind-solar combined prediction error scene at the t moment under the s typical day scene; />
The difference value of the wind-light fluctuation at the t moment and the hydropower stored energy down-regulation capacity at the s typical day scene is MW; />
The actual wind abandon light abandon value at the time t under the s typical day scene is positive number, MW; alpha is the maximum wind and light abandoning proportion coefficient.
(7) Channel restriction constraint
In the formula (I), the compound is shown in the specification,
the upper limit of the overall transmission capacity at the time t under the typical scene of s, MW.
(4) And constructing an outer layer evaluation system.
Criterion one is as follows: peak regulation performance of water, wind and light storage complementary system
The target value obtained by solving the simulation calculation model of the complementary system is the average residual load variance, and the peak regulation capability of the complementary system is reflected.
The second criterion is as follows: complementary system annual consumption wind and light electric quantity
Criterion three: complementary system annual net profit
π＝TR-TC
In the formula, pi, TR and TC are the annual generation profit, the total generation income and the total generation cost of the complementary system respectively.
In the formula P wind,solar 、P water The price of the wind, light, electricity and water is the price of the power on the internet.
The power generation cost of the complementary system is divided into two parts, namely annual reduced investment cost and annual operation and maintenance cost, wherein the annual operation and maintenance cost is considered as the annual power generation benefit of the complementary system multiplied by a coefficient, and the specific expression is as follows:
in the formula, k solar 、k wind k es The unit capacity cost is unit capacity cost/unit capacity MW of the photovoltaic power station, the wind power station and the energy storage equipment;
respectively installing capacities, MW, for a photovoltaic power station, a wind power station and energy storage equipment to be planned; l is a radical of an alcohol solar 、L wind 、L es The service life of the photovoltaic power station, the wind power station and the energy storage equipment is respectively set; l is the current rate; n is the planned service life of the water-wind-light-storage complementary system; omega is the proportion of annual operation and maintenance cost of the complementary system to the power generation benefit.
(5) And obtaining a configuration result.
The invention takes the Guizhou Wujiang stem drainage basin and the drainage basin as research objects for example, and the capacity configuration of the water, wind, light and energy storage integrated base is carried out according to the steps to obtain the wind, light and electricity access supporting capability of the current water, electricity and energy storage of the drainage basin and the optimal wind, light and energy storage configuration combination under the conditions of different wind abandon light rate upper limits. And comparing the current basin power supply structure with the distant view planning power supply structure to provide reference for related planning workers.
The invention is further described below with reference to the accompanying drawings and examples.
The model and the method are examined by taking the Wujiang river main flow basin as an actual engineering background. The Guizhou province actively promotes the integrated development of wind, light, water, fire and storage. A large hydropower base is used as a support, local consumption and delivery are comprehensively planned, and four water-wind-light integrated renewable energy comprehensive bases and wind-light-water-fire-energy storage multi-energy complementary integrated projects in Yangtze river basin, north river basin, south river basin and clear water river basin are built. The method selects the Wujiang main flow basin as a research object, and selects three power stations-hjd, df and sfy on the Wujiang main flow basin as power stations participating in simulation calculation, wherein the adjustment performance of the three power stations comprises years of adjustment, seasons of adjustment and days of adjustment, and the basic parameters of the hydropower stations are shown in table 1. In the beginning, the horizontal year represents the year. Meteorological data such as temperature, wind speed, solar irradiation intensity and the like are acquired from a meteorological data website ERA5, the starting time and the ending time are from 1982-1-1 to 2021-12-31, and the time scale is one hour.
TABLE 1 hydropower station basis parameters
Wind power photovoltaic parameters were obtained from enterprise websites, and the costs of lithium battery energy storage systems and photovoltaic power generation and energy storage integrated systems were analyzed according to the national laboratory of renewable energy (NREL) in the united states. For lithium battery energy storage systems of different capacities, the battery cost per capacity is unchanged, and is $ 209/kWh, and the larger the total capacity of the energy storage system is, the lower the other costs apportioned to the unit capacity are. The cost per unit of a system with 0.5 hours of power capacity reaches $ 895/kWh, while the cost per unit of a system with 4 hours of power capacity can drop to $ 380/kWh. The power supply capacity of the storage battery is considered to be 1h, and the unit capacity cost is 4086 yuan/kW. Other parameters are shown in table 2:
TABLE 2 other basic parameters
The method comprises the following specific steps:
(1) Historically, the wind power photovoltaic unit installed output processes of each day are calculated, the wind power photovoltaic unit installed output processes are grouped according to the month, and the output coefficient process obtained by frequency calculation (the design guarantee rate P = 50%) is used as the unit installed output process of the month representing day, and is shown in fig. 1.
(2) And under an inner layer optimization scheduling model, the uncertainty of the short-term wind and light output is considered. And generating a scene actual combined processing scene in the typical day scene of each month, wherein the specific flow is shown in figure 2.
(3) Under the determined wind and light storage capacity combination, an inner layer scheduling model is solved, a water and light storage power process under a typical daily scene is calculated, and the relation between wind and light flexibility requirements and water and electricity storage flexibility supply is analyzed. 240 ten thousand kilowatts of the photovoltaic installation machine, 40 ten thousand kilowatts of the wind power installation machine and 35 ten thousand kilowatts of the energy storage installation machine, when the upper limit of the light abandoning rate of the abandoned wind is 2%, the calculation result shows that the maximum scale of the wind and photovoltaic installation machine can be supported and intervened by the limitation of different light abandoning rates of the abandoned wind, and the result shows that the scale of the wind and photovoltaic installation machine is shown in a table 4. And (4) screening a scheme that the residual load variance is less than 1% of the system load residual load variance, and the product of the wind-solar annual power generation quantity of the complementary system and the annual net profit of the complementary system is large, which is shown in tables 5-7.
Table 3: in a typical day scene, the residual load variance is 0, the daily generated electric energy of hydropower, photovoltaic and wind power is 2318.02 ten thousand watt-hours, 915.06 ten thousand watt-hours and 10.18 ten thousand watt-hours respectively, the ratio is 71.9%, 28.4% and 0.32%, and the total energy storage discharge is 19.50 ten thousand watt-hours. Wind and light abandonment occurs during periods 13 to 15, and 19.
Under a typical day scene of a flood season, the surplus load variance is 0, the daily generated energy of hydropower, photovoltaic and wind power is 1566.24 ten thousand watt-hours, 980.10 ten thousand watt-hours and 123.32 ten thousand watt-hours respectively, the ratio is 59.1%, 37.0% and 4.6%, and the total energy storage discharge is 19.10 ten thousand watt-hours. Wind and light abandonment occurs during the 14 th period. A typical scenario load diagram and flexibility reserve scenario are shown in fig. 3.
(4) Setting the upper limit and the lower limit of the planned installed capacity of the photovoltaic power station as 360 and 30 and the step length as 30 according to the intrinsic conditions of wind and light resources and the limit of channel capacity (when the maximum supporting wind and light access capacity of the upper water electricity is achieved, the step length is 10); the upper limit and the lower limit of the planned installed capacity of the wind power station are 120 and 20, and the step length is 20; the upper and lower limits of the planned installed capacity of the energy storage equipment are 75 and 15, and the step length is 15; in units of ten thousand kilowatts. The flexibility reserve constraint only considers the current time interval, the upper limit of the load loss rate is 2%, the upper limit of the wind and light abandoning rate is respectively set to be 2%, 5% and 10%, simulation calculation is carried out on each configuration combination, the result is shown in fig. 4, and the horizontal axis, the vertical axis and the vertical axis are respectively the average value of annual consumption electric quantity, annual net profit and daily typical scene residual load variance of the complementary system. On the premise of determining the installed capacity of the hydroelectric energy storage, the maximum wind-solar installed scale can be supported by detecting different wind abandon light abandon rate limits, and the result is shown in table 4. And (4) screening a scheme with the residual load variance less than 1% of the system load residual load variance and a larger product of the wind-solar annual power generation amount of the complementary system and the annual net profit of the complementary system, and referring to tables 5-7.
TABLE 3 Power curtailment for the inner-layer optimized scheduling model
TABLE 4 maximum Scale of Water-exploring reservoir supporting wind-solar Access
TABLE 5% wind and light rejection configuration results
TABLE 6 configuration results of 5% wind-curtailment and light-curtailment
TABLE 7 configuration results of 10% wind curtailment and light curtailment
Claims (7)
1. A water-wind-light-storage integrated capacity configuration method considering a wind abandoning and light abandoning upper limit is characterized by comprising the following steps: the method comprises the following steps:
step 1, describing wind-solar output characteristics to obtain the installed output process of a typical solar photovoltaic unit of each month;
step 2, considering the uncertainty of short-term wind and light output, considering that wind and light prediction errors are independent in each time period and obey normal distribution, and generating a wind and light combined actual output typical scene of a certain day by utilizing a Latin hypercube sampling and k-means clustering method;
step 3, constructing an inner layer optimization scheduling model, wherein an objective function is the peak regulation performance of a complementary system is optimal, and the typical daily operation process of each month of each power supply is obtained by comprehensively considering the conventional cascade hydropower constraint, the energy storage operation constraint, the flexibility reserve constraint and the wind and light abandoning upper limit;
step 4, outer layer traversal combination is carried out, an evaluation system is constructed, and evaluation indexes comprise peak shaving performance of the water, wind, light and energy storage complementary system, annual consumption of wind, light and energy by the complementary system and annual net profit of the complementary system; traversing the wind-solar energy storage capacity combination, and calculating an evaluation index under each configuration combination according to a result obtained by solving the inner layer model under each combination;
and 5, analyzing the capacity of wind, light and electricity access supported by water energy storage, and giving an optimal configuration scheme.
2. The water, wind, light and storage integrated capacity configuration method considering the wind abandoning and light abandoning upper limit of claim 1 is characterized in that: calculating the historical wind power photovoltaic unit installed power process according to meteorological data, classifying according to months, and taking the power coefficient process obtained by different frequency calculation (the design guarantee rate P = 50%) as the unit installed power process of the month representing day:
in the formula (I), the compound is shown in the specification,
the output power of the photovoltaic power station at the time t is MW; />
Installed capacity, MW, for the photovoltaic power station; SR t The actual solar irradiation intensity at the photovoltaic power station site at the moment t is W/square meter; t is t The actual temperature at the photovoltaic power station site at the time t is DEG C; SR stc The standard test condition is the solar irradiation intensity, W/square meter; t is stc Temperature under standard test conditions, DEG C;
in the formula (I), the compound is shown in the specification,
wind power output at the moment t, MW; />
The installed capacity of the wind power station, MW; v. of c 、v R 、v F Respectively the cut-in wind speed, the rated wind speed and the cut-out wind speed of the fan, m/s; v. of t The wind speed at the hub of the fan at the moment t is obtained;
when the ground wind speed is known, the conversion is carried out according to the following formula according to the height of the hub:
where v is the wind speed at height H, v 0 Is a height H 0 Wind speed, m/s; n is the ground friction systemAnd (4) counting.
3. The method for configuring the water-wind-light-storage integrated capacity by considering the wind abandoning and light abandoning upper limit of the wind abandoning device as claimed in claim 1, wherein: the method for generating the typical scene of wind-light combined actual output comprises the following steps: by analyzing the forecast output and the actual output of the historical photovoltaic wind power in the drainage basin, the wind-solar forecast error is considered to be in accordance with normal distribution, each time interval is independent, the mean value is 0, and the standard deviation is related to the installed capacity and the forecast output value in the current time interval; and obtaining respective wind and light prediction error typical scenes by adopting a Latin hypercube sampling and k-means clustering method, and carrying out Cartesian product operation to obtain wind and light combined prediction error typical scenes and occurrence probability.
4. The method for configuring the water-wind-light-storage integrated capacity by considering the wind abandoning and light abandoning upper limit of the wind abandoning device as claimed in claim 1, wherein: the objective function for constructing the inner-layer optimized scheduling model is as follows: considering the peak regulation effect of the complementary system in the power grid, wherein the target function is that the average residual load variance is minimum;
wherein S is the total number of typical scenes, S =12; s is a typical scene number, S =1,2, …, S; t is the number of scheduling time periods under a specific scene, and T =24; t is the time interval number, T =1,2, …, T; the residual load of the system at the time t under the scene of s, MW; the average value MW of the system residual load under the scene of s;
respectively representing system load, photovoltaic predicted output, wind power predicted output, energy storage planned charging, energy storage planned discharging and MW at the moment t under the scene of s; n is the number of hydropower stations, N is the serial number of the hydropower stations, N =1,2, …, N; />
And (5) the planned output of the hydropower station n at the time t under the scene of s, and MW.
5. The method for configuring the water-wind-light-storage integrated capacity by considering the wind abandoning and light abandoning upper limit of the wind abandoning system as claimed in claim 4, wherein: the comprehensive consideration conventional step water and electricity restraint, energy storage operation restraint, flexibility deposit restraint and abandon wind and abandon light upper limit include:
and (3) controlling and restraining the water level from beginning to end: year initial water level control, when the reservoir regulation performance is more than or equal to the season regulation, year end water level control is carried out on the reservoir;
in the formula (I), the compound is shown in the specification,
begin_Z n respectively meeting the water level and water level control requirements at the time of a typical scene t =0 at the beginning of the year of the n hydropower stations at 1 month and day;
end_Z n respectively meeting the control requirements of the end-of-year water level and the end-of-year water level of the n hydropower stations;
long and short term water balance constraint:
in the formula (I), the compound is shown in the specification,
respectively two adjacent scenes, namely the initial storage capacity of the hydropower stations in adjacent months; Δ d is the number of days of the month; />
The storage capacity of the hydropower station h at the moment t under the scene of s is shown; />
The method comprises the following steps of (1) obtaining the flow of a hydropower station n in a t-moment interval under a s scene;
the flow of an upstream power station of the hydropower station n is taken out of the reservoir at the t-dt moment in the s scene; dt is water flow lag time when an upstream power station goes out of the reservoir and reaches a hydropower station h; Δ t is the time period hours;
energy storage operation constraints including initial energy storage capacity, capacity balance and charge-discharge state, assuming that the charge-discharge duration of the energy storage is equal to the hours of a time period, and the average charge-discharge power of the time period is the same as the numerical value of charge-discharge electric energy;
E s,0 ＝E s,begin
in the formula, E s,0 ，E s,begin Respectively setting the initial energy storage capacity and the initial capacity control requirement under the scene of s, and setting MW & h; e s,t The residual capacity of the energy storage system at the moment t under the scene of s is MW & h;
respectively the discharging power and the charging power at the t moment of the energy storage system in the s scene, and MW; />
The energy storage efficiency is discharged and charged; tau. es Is the self-discharge rate of the energy storage system;
flexibility reserve constraints: the hydropower and the stored energy are taken into consideration as an adjustable power supply to provide flexibility storage constraint for wind and light output fluctuation, including down regulation capability when wind and light fluctuate upwards and up regulation capability when wind and light fluctuate downwards;
in the formula (I), the compound is shown in the specification,
adjusting up and down capacities, MW, of the hydropower storage at t moment in s scene; />
Respectively representing the upper and lower output limits, MW of the hydropower station n at the moment t under the scene of s; />
Respectively for storing energy in s fieldThe capacity upper and lower limits at the scene time t;
maximum wind and light abandoning restraint:
in the formula, K is the number of scene of the wind-light joint prediction error, and K is the sequence number of the scene;
the prediction error value is a prediction error value MW in the kth wind-solar combined prediction error scene at the t moment under the s typical day scene; />
The difference value of the wind-light fluctuation at the t moment and the hydropower stored energy down-regulation capacity at the s typical day scene is MW; />
The actual wind abandon light abandon value at the time t under the s typical day scene is positive number, MW; alpha is the maximum wind and light abandoning proportion coefficient;
and (3) limiting and constraining the channel:
in the formula (I), the compound is shown in the specification,
for the integral power transmission at t moment under s typical sceneAnd (4) the upper limit of the capacity.
6. The method for configuring the water-wind-light-storage integrated capacity by considering the wind abandoning and light abandoning upper limit of the wind abandoning system as claimed in claim 4, wherein: the construction criteria for constructing the evaluation system are as follows:
criterion one, peak regulation performance of a water-wind-light storage complementary system: the target value obtained by solving according to the simulation calculation model of the complementary system is the average residual load variance, and the peak regulation capacity of the complementary system is reflected;
and criterion two, complementary system annual consumption of wind and light electric quantity:
criterion three, complementing the annual net profit of the system:
π＝TR-TC
in the formula, pi, TR and TC are the annual generation profit, the total generation income and the total generation cost of the complementary system respectively;
in the formula P wind,solar 、P water The price of the wind, light, electricity and water is the price of the power on the internet.
7. The method for configuring the water-wind-light-storage integrated capacity by considering the wind abandoning and light abandoning upper limit of the wind abandoning device as claimed in claim 6, wherein: the power generation cost of the complementary system is divided into two parts, namely annual reduced investment cost and annual operation and maintenance cost, wherein the annual operation and maintenance cost is considered as the annual power generation benefit of the complementary system multiplied by a coefficient, and the specific expression is as follows:
in the formula, k solar 、k wind k es The unit capacity cost, unit/MW, of the photovoltaic power station, the wind power station and the energy storage equipment respectively;
respectively installing capacities, MW, for a photovoltaic power station, a wind power station and energy storage equipment to be planned; l is solar 、L wind 、L es The service life of the photovoltaic power station, the wind power station and the energy storage equipment is respectively set; l is the current rate; n is the planned service life of the water-wind-light-storage complementary system; omega is the proportion of annual operation and maintenance cost of the complementary system to the power generation benefit. />
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| CN118095790A (en) * | 2024-04-23 | 2024-05-28 | 中国电建集团昆明勘测设计研究院有限公司 | Hydropower station resource allocation method and system based on multi-source equipment state |
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| CN117081175A (en) * | 2023-10-12 | 2023-11-17 | 中国电建集团贵阳勘测设计研究院有限公司 | Water, wind and light storage integrated foundation power production simulation method |
| CN117081175B (en) * | 2023-10-12 | 2023-12-29 | 中国电建集团贵阳勘测设计研究院有限公司 | Water, wind and light storage integrated foundation power production simulation method |
| CN118095790A (en) * | 2024-04-23 | 2024-05-28 | 中国电建集团昆明勘测设计研究院有限公司 | Hydropower station resource allocation method and system based on multi-source equipment state |
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