CN110829493A - Photo-thermal-wind power combined operation method for photo-thermal participating in power grid peak regulation - Google Patents

Photo-thermal-wind power combined operation method for photo-thermal participating in power grid peak regulation Download PDF

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CN110829493A
CN110829493A CN201911116198.9A CN201911116198A CN110829493A CN 110829493 A CN110829493 A CN 110829493A CN 201911116198 A CN201911116198 A CN 201911116198A CN 110829493 A CN110829493 A CN 110829493A
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wind power
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王兴贵
赵玲霞
丁颖杰
王海亮
杨维满
郭永吉
李晓英
郭群
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Lanzhou University of Technology
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46Controlling of the sharing of output between the generators, converters, or transformers
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46Controlling of the sharing of output between the generators, converters, or transformers
    • H02J3/48Controlling the sharing of the in-phase component
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
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Abstract

A photo-thermal-wind power combined operation method for photo-thermal participation in power grid peak shaving comprises the steps of utilizing the schedulability of the output of a photo-thermal power station containing heat storage to perform peak shaving on power grid load and performing combined scheduling on photo-thermal and wind power. The combined operation method is used for carrying out optimized dispatching on wind power output and photo-thermal output according to the change of the load value in the peak time period in daily dispatching. Has the following advantages: firstly, a photothermal power station containing heat storage is adopted to adjust the peak of a net load, and simultaneously, photothermal and wind power are jointly scheduled, so that the problem of large power grid load peak-valley difference caused by wind power integration is solved to a certain extent; and secondly, the combined operation takes the minimum net load variance as an optimization target, so that the net load fluctuation is smoothed, and the thermal power start-stop and operation peak regulation cost is reduced.

Description

Photo-thermal-wind power combined operation method for photo-thermal participating in power grid peak regulation
Technical Field
The invention relates to a photo-thermal-wind power combined operation method for photo-thermal participation in power grid peak shaving, and particularly belongs to the technical field of photo-thermal-wind power combined power generation.
Background
With the continuous increase of the wind power grid-connected capacity and the increasing of the load peak-valley difference, the wind abandon will occur under the condition of insufficient system peak regulation capacity. In order to reduce the waste wind, a corresponding peak regulation power supply needs to be constructed in a matched manner according to a certain proportion. At present, peak regulation power sources mainly comprise thermal power and hydroelectric power, wherein the hydroelectric power is limited by geographical conditions, and the thermal power can pollute the environment. The photo-thermal power station containing heat storage can realize power balance through the adjusting action of the heat storage device, is clean and environment-friendly, and can replace part of traditional peak regulation power supplies to carry out peak regulation on power grid load.
In a power system containing wind power, the wind power has randomness and volatility, so that the wind power output and load change show a reverse peak regulation characteristic, the load peak-valley difference is indirectly enlarged, and the thermal power peak regulation cost of the system is increased. Wind and light resources have complementarity, wind and power output characteristics are considered, and the photo-thermal power station operation characteristics are combined, so that peak load regulation of a power grid by photo-thermal and wind-power combined dispatching can be considered, and the influence of wind and power uncertainty on the power grid is reduced.
Disclosure of Invention
The invention aims to provide a photo-thermal-wind power combined operation method for photo-thermal participation in power grid peak regulation.
The invention relates to a photo-thermal-wind power combined operation method for photo-thermal participation in power grid peak regulation, which comprises the following steps: according to the change of the load value in the peak time period in daily scheduling, wind power output and photo-thermal output are optimally scheduled, and the method specifically comprises the following steps:
step 1: predicting a next day load curve and wind power output; collecting active power every 15min with 1 day as scheduling periodThen 4 data are obtained, averaged and taken as the power value of each time, and the load value P of each time within 24h in 1 day is obtainedltAnd wind power output Pwt
Step 2: determining the average load of the system according to the installed capacity of the photo-thermal power station, the maximum daily load and the wind power value corresponding to the maximum time, as shown in a formula I;
Pl_avg=Pl_p-Pw_pl-Pcsp_max(formula one)
In the formula, Pl_avgIs the average load; pl_pIs the peak load; pw_plWind power output corresponding to the moment of the load peak value; pcsp_maxThe installed capacity of the photo-thermal power station;
and step 3: in the daily load peak period, determining the magnitude of the photo-thermal output according to the load value, the wind power output and the average system load at each moment, as shown in a formula II;
Pcsp_t=Plt-Pwt-Pl_avg(formula two)
In the formula, Pcsp_tActual output of the photo-thermal power station at the time t;
and 4, step 4: determining a net load value of the system according to the load value at each moment of the load peak period, the wind power output and the photo-thermal output, wherein the net load value is shown as a formula III;
Pjlt=Plt-Pwt-Pcsp_t(formula III) wherein PjltIs the net load at time t;
and 5: calculating the average value of the net loads in 24h according to the net loads at all times, wherein the average value is shown in a formula IV;
Figure BDA0002274083310000021
where T is a scheduling period, Pjlt_avThe average value of the system net load in the dispatching period T is obtained;
step 6: establishing a mathematical model used by the photo-thermal-wind power combined operation method by taking the minimum system net load variance as a target function, wherein the mathematical model is shown as a formula V;
Figure BDA0002274083310000022
when the model is solved, the photo-thermal and wind-electricity output in the formula should satisfy the corresponding equality and inequality constraints. The equality constraint is a system power balance constraint, and the inequality constraint is such as the output constraint, the climbing constraint, the heat storage capacity constraint and the like of the photo-thermal unit, and the output constraint and the like of the wind power, which are shown in the specific implementation mode.
The invention has the advantages that: firstly, a photothermal power station containing heat storage is adopted to carry out peak load regulation on net load, and photothermal and wind are jointly scheduled, so that the problem of large load peak-valley difference of a power grid caused by wind power integration is solved to a certain extent; and secondly, the combined control takes the minimum net load variance as an optimization target, so that the net load fluctuation is smoothed, and the thermal power start-stop and operation peak regulation cost is reduced.
Drawings
FIG. 1 is a flow chart of photo-thermal-wind power combined operation optimization scheduling.
Detailed Description
The invention provides a photo-thermal-wind power combined operation method for photo-thermal participation in power grid peak shaving, aiming at the defects of insufficient system peak shaving capability and the influence of wind power fluctuation on a power grid. And the output schedulability of the photothermal power station containing heat storage is utilized to adjust the peak load of the power grid, and photothermal power and wind power are jointly adjusted. In a power system containing wind power, when light and heat participate in peak regulation of a power grid, in order to promote wind power consumption, wind power output is considered firstly, net load values of the system at all times are obtained through a load prediction curve and a wind power output prediction curve in a scheduling period, then, a light and heat power station adjusts the net load according to a Direct Normal Irradance (DNI) value and a heat storage condition of a heat storage device at each time, and schedules the net load together with thermal power. In order to fully play the adjusting function of photo-thermal, reduce abandoned wind and reduce the peak regulation cost of thermal power, a photo-thermal-wind power combined operation mathematical model is established by taking the minimum fluctuation of net load as a target.
The photo-thermal-wind power combined operation optimization scheduling flow chart is shown in fig. 1, and the operation method is used for performing optimization scheduling on wind power output and photo-thermal output according to the change of the load value in the peak period in daily scheduling.
The specific technical scheme is as follows:
step 1: and predicting the next day load curve and the wind power output. Taking 1 day as a scheduling period, collecting active power every 15min, obtaining 4 data every hour, averaging and using the data as a power value of each moment to obtain a load value P of each moment within 1d for 24hltAnd wind power output Pwt
Step 2: and determining the average load of the system according to the installed capacity of the photo-thermal power station, the maximum daily load and the wind power value corresponding to the maximum time, as shown in a formula I.
Pl_avg=Pl_p-Pw_pl-Pcsp_max(formula one)
In formula I, Pl_avgIs the average load; pl_pIs the peak load; pw_plWind power output corresponding to the moment of the load peak value; pcsp_maxThe installed capacity of the photo-thermal power station.
And step 3: and in the daily load peak period, determining the magnitude of the photo-thermal output according to the load value, the wind power output and the average system load at each moment, as shown in a formula II.
Pcsp_t=Plt-Pwt-Pl_avg(formula two)
In the formula two, Pcsp_tThe actual output of the photo-thermal power station at the moment t.
And 4, step 4: and determining a net load value of the system according to the load value at each moment of the load peak period, the wind power output and the photo-thermal output, as shown in a formula III.
Pjlt=Plt-Pwt-Pcsp_t(formula three)
In formula III, PjltIs the payload at time t.
And 5: and calculating the average value of the net load in 24h according to the net load at each moment, as shown in a formula IV.
Figure BDA0002274083310000031
In the fourth formula, T is a scheduling period, Pjlt_avThe average value of the system net load in the dispatching period T is obtained;
step 6: and establishing a mathematical model used by the photo-thermal-wind power combined operation method by taking the minimum system net load variance as a target function so as to stabilize net load fluctuation and reduce thermal power peak regulation cost, wherein the mathematical model is shown in a formula V.
Figure BDA0002274083310000032
And 7: corresponding output P during photo-thermal and wind power combined dispatchingcsp_tAnd PwtVarious equality and inequality constraints need to be satisfied. The equality constraint is a system power balance constraint, and the inequality constraint mainly comprises a force constraint, a climbing constraint and the like. In addition, the photothermal power station should also satisfy the heat storage and release capacity constraints.
1) Joint system power balance constraints:
Pwc_t=Pcsp_t+Pwt=Plt-Pl_avg(formula six)
In the formula: pwc_tThe combined output of the photo-thermal power station and the wind power station is realized;
2) the operation inequality constraint of the photo-thermal power station is as follows:
and (3) restraining the upper limit and the lower limit of the unit output:
in the formula:
Figure BDA0002274083310000034
the maximum output and the minimum output of the photo-thermal unit are respectively;the upper and lower rotation of the machine set are respectively reserved.
And (3) climbing restraint:
Figure BDA0002274083310000036
in the formula:
Figure BDA0002274083310000041
the maximum upward and downward climbing capacity of the unit is achieved.
And (3) heat storage capacity constraint:
Figure BDA0002274083310000042
in the formula:
Figure BDA0002274083310000043
ρ is the number of full-load hours, which is the lower limit of the heat storage capacity.
The heat storage device is restricted in heat storage and release power:
Figure BDA0002274083310000044
in the formula:
Figure BDA0002274083310000045
the storage and the heat release power of the high-temperature tank are maximum, and the heat storage and the heat release can not be carried out simultaneously.
3) Wind power plant output restraint:
0≤Pwt≤Pwmax(formula eleven)
In the formula: pwmaxAnd the maximum value of the wind power output is obtained.
The above are embodiments of the present invention, and it will be apparent to those skilled in the art that certain modifications or variations may be made in the combined operation method without departing from the principles of the combined thermal and wind power generation technology, and such modifications and variations are also within the scope of the present invention.

Claims (1)

1. A photo-thermal-wind power combined operation method for photo-thermal participation in power grid peak shaving is characterized by comprising the following steps: according to the change of the load value in the peak time period in daily scheduling, wind power output and photo-thermal output are optimally scheduled, and the method specifically comprises the following steps:
step 1: predicting a next day load curve and wind power output; taking 1 day as a scheduling period, collecting active power every 15min, obtaining 4 data every hour, averaging and using the data as power values of all the moments to obtain load values P of 24h in 1 day at all the momentsltAnd wind power output Pwt
Step 2: determining the average load of the system according to the installed capacity of the photo-thermal power station, the maximum daily load and the wind power value corresponding to the maximum time, as shown in a formula I;
Pl_avg=Pl_p-Pw_pl-Pcsp_max(formula one)
In the formula, Pl_avgIs the average load; pl_pIs the peak load; pw_plWind power output corresponding to the moment of the load peak value; pcsp_maxThe installed capacity of the photo-thermal power station;
and step 3: in the daily load peak period, determining the magnitude of the photo-thermal output according to the load value, the wind power output and the average system load at each moment, as shown in a formula II;
Pcsp_t=Plt-Pwt-Pl_avg(formula two)
In the formula, Pcsp_tActual output of the photo-thermal power station at the time t;
and 4, step 4: determining a net load value of the system according to the load value at each moment of the load peak period, the wind power output and the photo-thermal output, wherein the net load value is shown as a formula III;
Pjlt=Plt-Pwt-Pcsp_t(formula three)
In the formula, PjltIs the net load at time t;
and 5: calculating the average value of the net loads in 24h according to the net loads at all times, wherein the average value is shown in a formula IV;
Figure FDA0002274083300000011
wherein, T is a scheduling period,Pjlt_avthe average value of the system net load in the dispatching period T is obtained;
step 6: establishing a mathematical model used by the photo-thermal-wind power combined operation method by taking the minimum system net load variance as a target function, wherein the mathematical model is shown as a formula V;
Figure FDA0002274083300000012
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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109245179A (en) * 2018-11-10 2019-01-18 东北电力大学 A kind of wind-powered electricity generation-photo-thermal based on timesharing energy complement, which is combined, sends capacity optimization method outside
US20190081476A1 (en) * 2017-09-12 2019-03-14 Sas Institute Inc. Electric power grid supply and load prediction
CN110198052A (en) * 2019-07-11 2019-09-03 国网甘肃省电力公司经济技术研究院 A kind of photo-thermal-wind-powered electricity generation hybrid grid-connected power generation control method for coordinating

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20190081476A1 (en) * 2017-09-12 2019-03-14 Sas Institute Inc. Electric power grid supply and load prediction
CN109245179A (en) * 2018-11-10 2019-01-18 东北电力大学 A kind of wind-powered electricity generation-photo-thermal based on timesharing energy complement, which is combined, sends capacity optimization method outside
CN110198052A (en) * 2019-07-11 2019-09-03 国网甘肃省电力公司经济技术研究院 A kind of photo-thermal-wind-powered electricity generation hybrid grid-connected power generation control method for coordinating

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