CN110661252A - Real-time economic dispatching method for providing flexible climbing capacity by considering wind-solar energy storage - Google Patents

Real-time economic dispatching method for providing flexible climbing capacity by considering wind-solar energy storage Download PDF

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CN110661252A
CN110661252A CN201910862624.7A CN201910862624A CN110661252A CN 110661252 A CN110661252 A CN 110661252A CN 201910862624 A CN201910862624 A CN 201910862624A CN 110661252 A CN110661252 A CN 110661252A
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frc
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CN110661252B (en
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黄阮明
王乐
何欣芹
赵晶晶
郭明星
庞爱莉
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State Grid Shanghai Electric Power Co Ltd
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • 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
    • 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
    • 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 relates to a real-time economic dispatching method for providing flexible climbing capacity by considering wind-solar energy storage, which comprises the following steps: s1, establishing a target function of the real-time economic dispatching model; s2, obtaining constraint conditions of the real-time economic dispatching model; s3, establishing a real-time economic dispatching model according to the target function and the constraint condition; s4, the real-time economic dispatching model corrects the deviation of each energy output value and the upward/downward FRC according to the energy output value at the current moment, the upward/downward FRC and the predicted value at the next moment in a rolling mode, and real-time economic dispatching is executed.

Description

Real-time economic dispatching method for providing flexible climbing capacity by considering wind-solar energy storage
Technical Field
The invention relates to the technical field of power systems, in particular to a real-time economic dispatching method for providing flexible climbing capacity by considering wind and light storage.
Background
With the large-scale access of renewable energy sources such as wind power and photovoltaic, the demand for the flexibility of a power system is higher and higher, and the insufficient flexibility becomes a core problem concerned by power grid planning and operation. The flexibility of the power system is difficult to quantify, and quantifying the flexibility of the power system by using Flexible Ramp Capacity (FRC) is a relatively common and effective method at present. FRC refers to the capacity reserved at a scheduling instant to meet higher/lower payload fluctuations at subsequent instants. Wind power and photovoltaic output are superposed on the load as negative load, and FRC is called more frequently compared with rotary standby.
In a wind-solar-energy-storage combined system with high-proportion renewable energy penetration, wind power and photovoltaic complementarity is considered, wind power/photovoltaic jointly provide FRC (fast recovery frequency) so that the system load can be kept better tracked, and the flexibility of the system can be improved from a power generation side. On the other hand, the energy storage response speed is high, when the power balance of the system is suddenly changed, the energy storage can quickly provide the FRC and provide power support, so that the wind power, the photovoltaic and the energy storage are considered to be coordinated together to participate in providing the economic dispatching of the FRC, the burden is reduced for a conventional unit, and the probability of the insufficient FRC is reduced.
Chinese patent CN201810947112.6 discloses a two-stage economic dispatching method for providing flexible climbing capacity by considering wind-light storage, according to the acquired wind power, photovoltaic and energy storage capacity providing upward FRC capacity and downward FRC capacity, a two-stage economic dispatching model is established, and the running cost of the day-ahead dispatching process and the adjustment cost of the real-time economic dispatching process are taken as target functions, so that the starting-stopping plan and the approximate output plan of the conventional unit in the day-ahead process and the detection and adjustment of the wind-light storage three modes in the real-time economic dispatching process are obtained to complement each other and provide the FRC. According to the method, wind power, photovoltaic and energy storage participate in providing the economic dispatching of the FRC, for a conventional unit, the addition of the wind power reduces the pressure of the conventional unit for providing the FRC, for the sudden change of the net load, the energy storage responds rapidly to provide the FRC to reduce the output of the conventional unit, the climbing pressure of the conventional unit is effectively reduced, the overall economic benefit of system operation is improved, and the flexibility of the system operation is improved.
However, in the actual real-time economic dispatching process, when wind power, photovoltaic and energy storage are complemented to provide the FRC, the wind power, photovoltaic and energy storage are often limited by various constraint conditions, and the disclosed patent does not consider the limitation of various constraint conditions, so that the detection and adjustment accuracy and feasibility of the FRC complementarily provided by the three modes of the wind power, photovoltaic and energy storage obtained by the method are not high, and the method is not beneficial to reducing the climbing pressure of a conventional unit, improving the overall economic benefit of system operation and simultaneously improving the flexibility and reliability of the system better.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide a real-time economic dispatching method for providing flexible climbing capacity by considering wind and light storage.
The purpose of the invention can be realized by the following technical scheme:
a real-time economic dispatching method for providing flexible climbing capacity by considering wind-solar energy storage comprises the following steps:
s1, establishing a target function of the real-time economic dispatching model;
preferably, the objective function is to minimize the scheduling cost of the real-time economic scheduling process, and the expression of the scheduling cost of the real-time economic scheduling process is as follows:
Figure BDA0002200263640000021
wherein T is the number of scheduling time segments, G is a conventional unit set, Ci(. cndot.) is a function of the fuel cost of a conventional unit,
Figure BDA0002200263640000022
is a real-time process correction quantity of the output power of the unit i at the moment t,
Figure BDA0002200263640000023
and
Figure BDA0002200263640000024
the conventional unit i is provided with the price coefficients of the up/down FRC respectively,
Figure BDA0002200263640000025
and
Figure BDA0002200263640000026
respectively providing real-time process correction amounts of upward/downward FRC for the conventional unit i at the moment t, Cw/pv/esFor the cost coefficient of wind power/photovoltaic/stored energy output power,the real-time process correction quantity of the actual output at the wind power/photovoltaic/energy storage moment t is piw/pv/es,uAnd piw/pv/es,dProviding the price coefficient of the upper/lower FRC for wind power/photovoltaic/energy storage respectively,
Figure BDA0002200263640000028
and
Figure BDA0002200263640000031
providing real-time process correction amounts of up/down FRC for wind power/photovoltaic/stored energy at time t respectively, wherein CL is a load shedding cost coefficient, and delta ltIs the total load shedding amount at the moment t, omega is the punishment coefficient of FRC insufficiency,andthe deficiency of the upper/lower FRC, respectively.
S2, obtaining constraint conditions of the real-time economic dispatching model;
further, the constraint conditions include wind power constraint, photovoltaic constraint and energy storage constraint.
Furthermore, the wind power constraint comprises wind power output constraint, wind power up/down FRC capacity constraint and wind power climbing constraint.
The constraint inequality of the wind power output constraint is as follows:
Figure BDA0002200263640000034
wherein the content of the first and second substances,
Figure BDA0002200263640000036
for the output power of the wind power at the time t,
Figure BDA0002200263640000037
for the upward FRC provided by the wind at time t,
Figure BDA0002200263640000038
for the downward FRC provided by the wind at time t,
Figure BDA0002200263640000039
predicting the output of the wind power at the moment t;
the constraint inequality of the wind power up/down FRC capacity constraint is as follows:
Figure BDA00022002636400000310
Figure BDA00022002636400000311
wherein the content of the first and second substances,
Figure BDA00022002636400000312
is a lower alpha quantile point of the wind power output predicted value at the moment t +1,
Figure BDA00022002636400000313
the lower alpha quantile point of the actual output of the wind power at the moment t + 1;
the wind power climbing constraint inequality is as follows:
Figure BDA00022002636400000314
wherein the content of the first and second substances,
Figure BDA00022002636400000316
for the output power of the wind power at the time t-1,
Figure BDA00022002636400000317
the correction quantity is the real-time process correction quantity of the actual output of the wind power at the moment t, and delta t is the scheduling time.
Further, the photovoltaic constraints include photovoltaic output constraints, photovoltaic up/down FRC capacity constraints, and photovoltaic climbing constraints.
The constraint inequality of the photovoltaic output constraint is as follows:
Figure BDA00022002636400000318
wherein the content of the first and second substances,
Figure BDA00022002636400000320
for the output power of the photovoltaic cell at the instant t,
Figure BDA00022002636400000321
for the upward FRC provided by the photovoltaic at time t,
Figure BDA0002200263640000041
for the downward FRC provided by the photovoltaic at time t,
Figure BDA0002200263640000042
predicting the output of the photovoltaic at the moment t;
the constraint inequality of the photovoltaic up/down FRC capacity constraint is as follows:
Figure BDA0002200263640000043
Figure BDA0002200263640000044
wherein the content of the first and second substances,
Figure BDA0002200263640000045
is the lower alpha quantile point of the output predicted value of the photovoltaic at the moment t +1,
Figure BDA0002200263640000046
the lower alpha quantile point of the actual output of the photovoltaic at the moment t + 1;
the constraint inequality of the photovoltaic climbing constraint is as follows:
Figure BDA0002200263640000047
wherein the content of the first and second substances,
Figure BDA0002200263640000049
for the output power of the photovoltaic at time t-1,
Figure BDA00022002636400000410
the correction quantity is the real-time process correction quantity of the actual output of the photovoltaic at the moment t, and delta t is the scheduling time.
Further, the energy storage constraints include maximum charge/discharge power constraints, charge/discharge state constraints, and energy storage up/down FRC capacity constraints.
The constraint inequality of the maximum charging/discharging power constraint is as follows:
Figure BDA00022002636400000411
Figure BDA00022002636400000412
wherein the content of the first and second substances,
Figure BDA00022002636400000413
to store the charge/discharge power at time t,
Figure BDA00022002636400000414
for storing the upward FRC provided at time t,for storing the downward FRC provided at time t,
Figure BDA00022002636400000416
for the real-time course correction of the charging/discharging power of the energy storage at the time t,
Figure BDA00022002636400000417
for the maximum charge/discharge power of the stored energy,
Figure BDA00022002636400000418
a charging/discharging state variable of the stored energy at a time t;
the constraint inequality of the charge-discharge state constraint is as follows:
Figure BDA00022002636400000419
the constraint inequality of the energy storage up/down FRC capacity constraint is as follows:
Figure BDA00022002636400000420
Figure BDA0002200263640000051
wherein S istFor storing the state of charge at time t, St-1To store the state of charge at time t-1, SminMinimum state of charge for energy storage, SmaxMaximum state of charge, η, for energy storagechCharging efficiency, eta, for energy storagedcAnd E is the rated capacity of the stored energy, and delta t is the scheduling time.
S3, establishing a real-time economic dispatching model according to the target function and the constraint condition;
and S4, the real-time economic dispatching model corrects the deviation of each energy output value and the upward/downward FRC according to each energy output value at the current moment, the upward/downward FRC and the predicted value at the next moment in a rolling mode, and real-time economic dispatching is executed.
Further, the scheduling time is an interval time between the current time and the next time in step S4, and the value of the scheduling time is 15 min.
Compared with the prior art, the invention has the following advantages:
1) according to the situation of actual operation of wind power, photovoltaic and energy storage, the invention enables the wind power, photovoltaic and energy storage to be complemented to provide FRC scheduling adjustment more accurately and feasible by setting a plurality of constraint conditions in the real-time economic scheduling process, thereby reducing the climbing pressure of a conventional unit, improving the overall economic benefit of system operation and better improving the flexibility and reliability of the system;
2) the wind-solar hybrid power generation system considers wind-solar energy storage to provide flexible climbing capacity, greatly reduces the pressure of a conventional unit for providing FRC, and executes real-time economic dispatching by providing various 'flexible source' combinations for providing FRC, so that the flexibility is high;
3) according to the real-time economic dispatching model established by the invention, the deviation between the output value of each energy source and the upward/downward FRC is corrected in a rolling manner according to the output value of each energy source and the upward/downward FRC at the current moment and the set ultra-short-term predicted value of the dispatching time level, so that the accuracy and the reliability are improved.
Drawings
FIG. 1 is a schematic flow chart of the present invention;
FIG. 2 is a flow chart of a real-time economic dispatch model;
FIG. 3 is a change in FRC demand taking into account net load uncertainty;
FIG. 4 is a load, wind power, and photovoltaic power desired value curve;
fig. 5 shows FRC scheduling under the policy C1;
fig. 6 shows FRC scheduling under the policy of C8.
Detailed Description
The invention is described in detail below with reference to the figures and specific embodiments. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, shall fall within the scope of protection of the present invention.
Examples
As shown in fig. 1, the present invention provides a real-time economic dispatching method for providing flexible climbing capacity in consideration of wind-solar energy storage, which comprises the following steps:
s1, establishing a target function of the real-time economic dispatching model;
s2, obtaining constraint conditions of the real-time economic dispatching model;
s3, establishing a real-time economic dispatching model according to the target function and the constraint condition;
and S4, the real-time economic dispatching model corrects the deviation of each energy output value and the upward/downward FRC according to each energy output value at the current moment, the upward/downward FRC and the predicted value at the next moment in a rolling mode, and real-time economic dispatching is executed.
The real-time economic dispatching process is based on the latest dispatching time prediction data, the energy power output and the FRC distribution condition are adjusted, the wind power, photovoltaic output and load are uncertain, and the dispatching time of real-time economic dispatching is usually 10 to60min, and the selected scheduling time is 15min in the embodiment. FIG. 3 is a graph of FRC demand change for three scheduling periods, where L0～L3For the predicted net load output value of each time interval, u1～u3、d1～d3Respectively, a maximum and a minimum net load contribution that takes into account uncertainty.
The wind power generation and the photovoltaic power generation are controlled by power electronic devices, the output power can be adjusted rapidly, the active power adjusting rate of the wind power is about 0.05-0.25 p.u./s, and the photovoltaic power is about 0.04 p.u./min. Although the wind power/photovoltaic has enough capacity to adjust the active power output, the capacity of the wind power/photovoltaic to provide the FRC is limited by the uncertainty of the actual power output of the wind power/photovoltaic, which is the main difference between the wind power/photovoltaic and the conventional unit, and meanwhile, from the economic perspective, in order to provide the upward FRC, the wind power/photovoltaic cannot operate according to the maximum power output, and certain opportunity cost loss exists. The opportunity cost of the wind power/photovoltaic for providing FRC loss can be considered to give certain compensation, and the wind power/photovoltaic for providing FRC reduces the calling of some expensive conventional units, thereby being beneficial to improving the overall economic benefit of the system.
The real-time economic dispatching model established by the invention can be used for rolling and correcting the deviation of the output value of each energy source and the upward/downward FRC according to the output value of each energy source and the upward/downward FRC at the current moment and the ultra-short term predicted value of the set dispatching time level, and executing real-time economic dispatching, and the flow chart of the model is shown in figure 2.
The real-time economic dispatching model takes the dispatching cost of the real-time economic dispatching process as the minimum objective function, and the expression of the dispatching cost of the real-time economic dispatching process is as follows:
wherein T is the number of scheduling time segments, G is a conventional unit set, Ci(. cndot.) is a function of the fuel cost of a conventional unit,
Figure BDA0002200263640000072
for real-time process correction of output power of unit i at time tThe amount of the compound (A) is,
Figure BDA0002200263640000073
and
Figure BDA0002200263640000074
the conventional unit i is provided with the price coefficients of the up/down FRC respectively,and
Figure BDA0002200263640000076
respectively providing real-time process correction amounts of upward/downward FRC for the conventional unit i at the moment t, Cw/pv/esFor the cost coefficient of wind power/photovoltaic/stored energy output power,
Figure BDA0002200263640000077
the real-time process correction quantity of the actual output at the wind power/photovoltaic/energy storage moment t is piw/pv/es,uAnd piw/pv/es,dProviding the price coefficient of the upper/lower FRC for wind power/photovoltaic/energy storage respectively,
Figure BDA0002200263640000078
and
Figure BDA0002200263640000079
providing real-time process correction amounts of up/down FRC for wind power/photovoltaic/stored energy at time t respectively, wherein CL is a load shedding cost coefficient, and delta ltIs the total load shedding amount at the moment t, omega is the punishment coefficient of FRC insufficiency,and
Figure BDA00022002636400000711
the deficiency of the upper/lower FRC, respectively.
After the conventional unit combination state is determined, the unit combination state is kept unchanged in the real-time economic dispatching process, so that the unit combination constraint does not need to be additionally considered in the real-time economic dispatching process. Therefore, the constraint conditions of the invention comprise wind power constraint, photovoltaic constraint and energy storage constraint.
(1) Wind power constraint
The wind power constraint comprises wind power output constraint, wind power up/down FRC capacity constraint and wind power climbing constraint.
The constraint inequality of the wind power output constraint is as follows:
Figure BDA00022002636400000712
Figure BDA00022002636400000713
wherein the content of the first and second substances,
Figure BDA00022002636400000714
for the output power of the wind power at the time t,for the upward FRC provided by the wind at time t,for the downward FRC provided by the wind at time t,predicting the output of the wind power at the moment t;
the constraint inequality of wind power up/down FRC capacity constraint is as follows:
Figure BDA0002200263640000083
Figure BDA0002200263640000084
wherein the content of the first and second substances,
Figure BDA0002200263640000085
is a lower alpha quantile point of the wind power output predicted value at the moment t +1,
Figure BDA0002200263640000086
the lower alpha quantile point of the actual output of the wind power at the moment t +1 is shown. With the improvement of the wind power 15min ultra-short-term prediction data precision, the FRC is constrained by combining the alpha quantile point of the wind power prediction output probability distribution, and the reliability of wind power/photovoltaic provision of the FRC can be further improved.
The wind power climbing constraint inequality is as follows:
Figure BDA0002200263640000087
Figure BDA0002200263640000088
wherein the content of the first and second substances,
Figure BDA0002200263640000089
for the output power of the wind power at the time t-1,
Figure BDA00022002636400000810
the correction quantity is the real-time process correction quantity of the actual output of the wind power at the moment t, and delta t is the scheduling time.
(2) Photovoltaic confinement
The photovoltaic constraints include photovoltaic output constraints, photovoltaic up/down FRC capacity constraints, and photovoltaic climbing constraints.
The constraint inequality of the photovoltaic output constraint is as follows:
Figure BDA00022002636400000811
wherein the content of the first and second substances,
Figure BDA00022002636400000813
for the output power of the photovoltaic cell at the instant t,
Figure BDA00022002636400000814
for the upward FRC provided by the photovoltaic at time t,
Figure BDA00022002636400000815
for the downward FRC provided by the photovoltaic at time t,
Figure BDA00022002636400000816
predicting the output of the photovoltaic at the moment t;
the constraint inequality of the photovoltaic up/down FRC capacity constraint is:
Figure BDA00022002636400000817
Figure BDA00022002636400000818
wherein the content of the first and second substances,
Figure BDA00022002636400000819
is the lower alpha quantile point of the output predicted value of the photovoltaic at the moment t +1,
Figure BDA00022002636400000820
the lower alpha quantile point of the actual output of the photovoltaic at the moment t + 1. With the improvement of the ultra-short-term prediction data precision of the photovoltaic 15min, the FRC is constrained by combining the alpha quantile point of the photovoltaic prediction output probability distribution, and the reliability of the wind power/photovoltaic provision of the FRC can be further improved.
The constraint inequality of the photovoltaic climbing constraint is as follows:
Figure BDA00022002636400000821
Figure BDA0002200263640000091
wherein the content of the first and second substances,
Figure BDA0002200263640000092
for the output power of the photovoltaic at time t-1,
Figure BDA0002200263640000093
the correction quantity is the real-time process correction quantity of the actual output of the photovoltaic at the moment t, and delta t is the scheduling time.
(3) Restraint of stored energy
The energy storage constraints include maximum charge/discharge power constraints, charge/discharge state constraints, and energy storage up/down FRC capacity constraints.
The constraint inequality of the maximum charge/discharge power constraint is:
Figure BDA0002200263640000094
Figure BDA0002200263640000095
wherein the content of the first and second substances,
Figure BDA0002200263640000096
to store the charge/discharge power at time t,for storing the upward FRC provided at time t,for storing the downward FRC provided at time t,
Figure BDA0002200263640000099
for the real-time course correction of the charging/discharging power of the energy storage at the time t,
Figure BDA00022002636400000910
for the maximum charge/discharge power of the stored energy,a charging/discharging state variable of the stored energy at a time t;
the constraint inequality of the charge-discharge state constraint is as follows:
Figure BDA00022002636400000912
the constraint inequality of the energy storage up/down FRC capacity constraint is:
Figure BDA00022002636400000913
Figure BDA00022002636400000914
Figure BDA00022002636400000915
wherein S istFor storing the state of charge at time t, St-1To store the state of charge at time t-1, SminMinimum state of charge for energy storage, SmaxMaximum state of charge, η, for energy storagechCharging efficiency, eta, for energy storagedcAnd E is the rated capacity of the stored energy, and delta t is the scheduling time. The super capacitor has the advantages of long service life, high charging and discharging efficiency, short charging and discharging time and the like, and the super capacitor is adopted for storing energy in the embodiment. Considering the life factor of energy storage, the state of charge of the energy storage in the charging and discharging process needs to meet the following constraints:
Smin≤St≤Smax
example 1
The improved IEEE 118 node 54 machine system is taken as an example, and comprises 91 load nodes, 5 400MW wind power plants, 9 300MW photovoltaic power plants and 5 120MWh energy storage power plants. The maximum climbing rate of the wind power plant is 20MW/min, the maximum climbing rate of the photovoltaic power plant is 12MW/min, the comprehensive energy cost coefficient of the wind/light/storage system is 75$/MW · h, and the price coefficient of FRC provided by the wind/light/storage system is generally 20% of the energy cost coefficient. Assuming an initial state of charge of 0.5 for energy storage, other parameters of the energy storage system are shown in table 1. Penalty cost system for system load shedding and FRC deficiencyThe numbers are respectively CL ═ 4000$/MW · h, and ω $/MW · h, and the proportionality coefficients describing the wind-light storage uncertain capacity are respectively η $L,u/d＝0.01、ηw,u/d＝0.05、ηpv,u/d＝0.06。
TABLE 1 energy storage System parameters
Figure BDA0002200263640000101
The load, wind power and photovoltaic real-time power expected values of the calculation examples are obtained by disturbance calculation of predicted values, and are shown in fig. 4.
This example demonstrates the effect of 8 FRC "agile source" allocation strategies based on the model proposed by the present invention. In table 2, "Y" indicates that the "flexible source" participates in providing FRC, and "N" indicates that it does not participate in providing FRC.
TABLE 2 "Flexible Source" policy combination for providing FRC
The FRC scheduling result of the combination of 8 strategies, as shown in fig. 5 and 6, can be obtained from fig. 5 and 6, when no wind-solar energy storage participates in providing FRC, there is a serious FRC deficiency, and when wind-solar energy storage simultaneously provides FRC, there is no FRC deficiency any more.
In this embodiment, the economic analysis is performed on 8 scheduling strategies at the same time, and the results are shown in table 3:
24 hour run cost analysis of Table 38 strategies
Figure BDA0002200263640000111
When the penetration rate of wind power and photovoltaic power in a power grid is increased to a certain degree, the wind-solar energy storage participation in providing the FRC has more economic and technical advantages, the system operation flexibility is improved, and through the model provided by the invention, when the wind-solar energy storage provides the FRC together, all needed FRC can be complemented, and the condition of insufficient FRC is avoided.
While the invention has been described with reference to specific embodiments, the invention is not limited thereto, and those skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope of the invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (10)

1. A real-time economic dispatching method for providing flexible climbing capacity by considering wind and light storage is characterized by comprising the following steps:
s1, establishing a target function of the real-time economic dispatching model;
s2, obtaining constraint conditions of the real-time economic dispatching model;
s3, establishing a real-time economic dispatching model according to the target function and the constraint condition;
and S4, the real-time economic dispatching model corrects the deviation of each energy output value and the upward/downward FRC according to each energy output value at the current moment, the upward/downward FRC and the predicted value at the next moment in a rolling mode, and real-time economic dispatching is carried out.
2. The real-time economic dispatching method for providing flexible climbing capacity considering wind-solar energy storage according to claim 1, characterized in that the objective function is to minimize the dispatching cost of the real-time economic dispatching process, and the dispatching cost of the real-time economic dispatching process has the expression:
Figure FDA0002200263630000011
wherein T is the number of scheduling time segments, G is a conventional unit set, Ci(. cndot.) is a function of the fuel cost of a conventional unit,
Figure FDA0002200263630000012
is a real-time process correction quantity of the output power of the unit i at the moment t,and
Figure FDA0002200263630000014
the conventional unit i is provided with the price coefficients of the up/down FRC respectively,
Figure FDA0002200263630000015
and
Figure FDA0002200263630000016
respectively providing real-time process correction amounts of upward/downward FRC for the conventional unit i at the moment t, Cw/pv/esFor the cost coefficient of wind power/photovoltaic/stored energy output power,
Figure FDA0002200263630000017
the real-time process correction quantity of the actual output at the wind power/photovoltaic/energy storage moment t is piw/pv/es,uAnd piw/pv/es,dProviding up/down FRC price coefficient, Deltar, for wind/photovoltaic/stored energy, respectivelyt w/pv/es,uAnd Δ rt w/pv/es,dProviding real-time process correction amounts of up/down FRC for wind power/photovoltaic/stored energy at time t respectively, wherein CL is a load shedding cost coefficient, and delta ltIs the total load shedding amount at the moment t, omega is the penalty coefficient of FRC deficiency, delta rt uAnd Δ rt dThe deficiency of the upper/lower FRC, respectively.
3. The real-time economic dispatching method for providing flexible climbing capacity considering wind-solar energy storage according to claim 1, characterized in that the constraint conditions include wind power constraint, photovoltaic constraint and energy storage constraint.
4. The method of claim 3, wherein the wind power constraints comprise wind power output constraints, wind power up/down FRC capacity constraints, and wind power ramp constraints.
5. The real-time economic dispatching method for providing flexible climbing capacity by considering wind-solar energy storage according to claim 4, characterized in that the constraint inequality of the wind power output constraint is as follows:
Figure FDA0002200263630000021
Figure FDA0002200263630000022
wherein the content of the first and second substances,
Figure FDA0002200263630000023
for the output power of the wind power at the time t,
Figure FDA0002200263630000024
for the upward FRC provided by the wind at time t,
Figure FDA0002200263630000025
for the downward FRC provided by the wind at time t,
Figure FDA0002200263630000026
predicting the output of the wind power at the moment t;
the constraint inequality of the wind power up/down FRC capacity constraint is as follows:
Figure FDA0002200263630000027
Figure FDA0002200263630000028
wherein the content of the first and second substances,
Figure FDA0002200263630000029
is a lower alpha quantile point of the wind power output predicted value at the moment t +1,
Figure FDA00022002636300000210
the lower alpha quantile point of the actual output of the wind power at the moment t + 1;
the wind power climbing constraint inequality is as follows:
Figure FDA00022002636300000211
Figure FDA00022002636300000212
wherein the content of the first and second substances,
Figure FDA00022002636300000213
for the output power of the wind power at the time t-1,
Figure FDA00022002636300000214
the correction quantity is the real-time process correction quantity of the actual output of the wind power at the moment t, and delta t is the scheduling time.
6. The method of claim 3, wherein the photovoltaic constraints comprise photovoltaic output constraints, photovoltaic up/down FRC capacity constraints, and photovoltaic climbing constraints.
7. The real-time economic dispatching method for providing flexible climbing capacity considering wind-solar energy storage according to claim 6, characterized in that the constraint inequality of photovoltaic output constraint is as follows:
Figure FDA0002200263630000031
wherein the content of the first and second substances,
Figure FDA0002200263630000033
for the output power of the photovoltaic cell at the instant t,
Figure FDA0002200263630000034
for the upward FRC provided by the photovoltaic at time t,
Figure FDA0002200263630000035
for the downward FRC provided by the photovoltaic at time t,
Figure FDA0002200263630000036
predicting the output of the photovoltaic at the moment t;
the constraint inequality of the photovoltaic up/down FRC capacity constraint is as follows:
Figure FDA0002200263630000037
wherein the content of the first and second substances,
Figure FDA0002200263630000039
is the lower alpha quantile point of the output predicted value of the photovoltaic at the moment t +1,
Figure FDA00022002636300000310
the lower alpha quantile point of the actual output of the photovoltaic at the moment t + 1;
the constraint inequality of the photovoltaic climbing constraint is as follows:
Figure FDA00022002636300000312
wherein the content of the first and second substances,
Figure FDA00022002636300000313
for the output power of the photovoltaic at time t-1,
Figure FDA00022002636300000314
the correction quantity is the real-time process correction quantity of the actual output of the photovoltaic at the moment t, and delta t is the scheduling time.
8. The real-time economic dispatch method for providing flexible climbing capacity considering wind-solar energy storage according to claim 3, wherein the energy storage constraints comprise maximum charge/discharge power constraints, charge/discharge state constraints and energy storage up/down FRC capacity constraints.
9. The real-time economic dispatching method for providing flexible climbing capacity considering wind-solar energy storage according to claim 8, characterized in that the constraint inequality of the maximum charging/discharging power constraint is as follows:
Figure FDA00022002636300000315
Figure FDA00022002636300000316
wherein the content of the first and second substances,to store the charge/discharge power at time t,
Figure FDA00022002636300000318
for storing the upward FRC provided at time t,
Figure FDA00022002636300000319
for storing the downward FRC provided at time t,
Figure FDA00022002636300000320
for the real-time course correction of the charging/discharging power of the energy storage at the time t,for the maximum charge/discharge power of the stored energy,
Figure FDA00022002636300000322
a charging/discharging state variable of the stored energy at a time t;
the constraint inequality of the charge-discharge state constraint is as follows:
Figure FDA00022002636300000323
the constraint inequality of the energy storage up/down FRC capacity constraint is as follows:
Figure FDA0002200263630000041
Figure FDA0002200263630000042
wherein S istFor storing the state of charge at time t, St-1To store the state of charge at time t-1, SminMinimum state of charge for energy storage, SmaxMaximum state of charge, η, for energy storagechCharging efficiency, eta, for energy storagedcAnd E is the rated capacity of the stored energy, and delta t is the scheduling time.
10. The real-time economic dispatching method for providing flexible climbing capacity considering wind-solar energy storage according to any one of claims 5, 7 or 9, characterized in that the dispatching time is the interval time between the current time and the next time in step S4, and the value range of the dispatching time is 10-60 min.
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