CN112564088A - Renewable energy consumption capacity improving method considering thermal power flexibility modification cost - Google Patents

Renewable energy consumption capacity improving method considering thermal power flexibility modification cost Download PDF

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CN112564088A
CN112564088A CN202011302944.6A CN202011302944A CN112564088A CN 112564088 A CN112564088 A CN 112564088A CN 202011302944 A CN202011302944 A CN 202011302944A CN 112564088 A CN112564088 A CN 112564088A
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thermal power
cost
unit
output
power generating
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CN112564088B (en
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车彬
于若英
齐彩娟
赵亮
马艳霞
王湘艳
***
张红颖
张玮琪
陈宁
唐梦媛
朱凌志
张泽龙
张磊
韦冬妮
葛鹏江
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China Electric Power Research Institute Co Ltd CEPRI
Economic and Technological Research Institute of State Grid Ningxia Electric Power Co Ltd
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China Electric Power Research Institute Co Ltd CEPRI
Economic and Technological Research Institute of State Grid Ningxia 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
    • H02J3/008—Circuit arrangements for ac mains or ac distribution networks involving trading of energy or energy transmission rights
    • 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
    • H02J3/381—Dispersed generators
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
    • H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/10—The dispersed energy generation being of fossil origin, e.g. diesel generators
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20—The dispersed energy generation being of renewable origin
    • H02J2300/22—The renewable source being solar energy
    • H02J2300/24—The renewable source being solar energy of photovoltaic origin
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20—The dispersed energy generation being of renewable origin
    • H02J2300/28—The renewable source being wind energy
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/40—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation wherein a plurality of decentralised, dispersed or local energy generation technologies are operated simultaneously
    • 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
    • Y02E10/50—Photovoltaic [PV] energy
    • Y02E10/56—Power conversion systems, e.g. maximum power point trackers

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Abstract

The invention discloses a renewable energy consumption capacity improving method considering thermal power flexibility modification cost, which comprises the following steps: determining a unit output parameter according to the running state and the energy consumption characteristics of the thermal power unit; drawing a thermal power unit consumption characteristic diagram according to the value of the unit output parameter, and meanwhile, establishing a thermal power unit peak regulation cost function; combining a peak regulation cost function of the thermal power generating unit, simultaneously considering constraint conditions and transformation cost, aiming at increasing new energy consumption and reducing system operation cost, and establishing an operation cost optimization model containing a high-proportion renewable power system; applying the deep peak shaving compensation to an operation cost optimization model containing a high-proportion renewable power system; and determining the optimal peak regulation compensation coefficient of the thermal power generating unit by considering the output of the renewable energy. The method can fully consider the cost of the thermal power generating unit, improve the enthusiasm of the thermal power plant for participating in flexible transformation, and simultaneously improve the deep peak regulation capability of the thermal power generating unit so as to improve the consumption capability of renewable energy sources.

Description

Renewable energy consumption capacity improving method considering thermal power flexibility modification cost
Technical Field
The invention belongs to the technical field of new energy consumption, and particularly relates to a renewable energy consumption capacity improving method considering thermal power flexibility modification cost.
Background
The problem of wind and light abandoning of renewable energy sources is increasingly emphasized as the proportion of the renewable energy sources in the power supply of a power grid is continuously improved. Due to the electric quantity balance constraint, the output of the thermal power generating unit needs to be reduced in the high-power generation stage of the renewable energy so as to improve the consumption of the renewable energy; in the stage of insufficient output of renewable energy, the output of the thermal power generating unit needs to be improved to avoid insufficient power. In order to better utilize renewable energy and improve the energy structure of a power system, the thermal power generating unit needs to be flexibly modified to improve the deep peak regulation capacity of the thermal power generating unit.
At present, research on flexibility modification of thermal power generating units mainly comprises two aspects: the peak regulation performance after the thermal power generating unit is transformed and the flexibility transformation economy of the thermal power generating unit. The peak regulation performance of the thermal power generating unit after being transformed is mainly reflected on the deep peak regulation capacity of the thermal power generating unit. In order to ensure that the power supply of the power system is normal in the stage of insufficient output of the renewable energy source, the rated capacity of the thermal power generating unit cannot be too low. However, with the rapid increase of the grid-connected capacity of renewable energy sources, the peak-to-valley difference of the system increases year by year, thereby causing the problem of peak regulation of the system to be prominent. The flexibility of the thermal power unit is improved, the deep peak regulation capacity of the thermal power unit can be improved, the minimum technical output is reduced, the climbing speed of the thermal power unit is improved, and the flexibility of an electric power system can be improved. The flexibility modification economy of the thermal power generating unit needs to comprehensively consider the cost required by different flexibility modification means of the thermal power generating unit, the running cost of the thermal power generating unit after the flexibility modification and the renewable energy resource abandoning cost. In a Deep Peak Regulation (DPR) phase, the operation cost of the thermal power unit is generally higher than that of a conventional peak regulation (RPR) phase of the thermal power unit, which may cause the operation cost of the thermal power unit to rise through flexible modification, so that an auxiliary service mechanism needs to be introduced to give certain compensation to improve the abandonment of less renewable energy sources with less enthusiasm for the thermal power unit to participate in peak regulation.
In conclusion, considering both the renewable energy consumption capability and the operation economy of the power system is the future development direction of the flexibility modification of the thermal power generating unit.
In order to solve the above problem, the auxiliary service mechanism is a reliable method. The existing research on an auxiliary service mechanism is more, and the compensation is mainly carried out aiming at the participation of a thermal power unit in deep peak regulation so as to stimulate the enthusiasm of the thermal power plant in participating in peak regulation, so that the consumption capability of renewable energy is improved. However, the flexibility modification cost of the thermal power generating unit is not considered in the research, which leads to limited enthusiasm for the thermal power plant to participate in the flexibility modification; meanwhile, researches on how to select the optimal compensation mode and how to select the flexible modification cost means of the thermal power generating unit are relatively less.
Therefore, how to provide a deep peak shaving compensation and consider the influence of the flexibility modification cost of the thermal power generating unit, so as to improve the enthusiasm of the thermal power generating unit for participating in the flexibility modification and the deep peak shaving is a problem to be solved by those skilled in the art.
Disclosure of Invention
In view of the above, the invention provides a renewable energy consumption capacity improving method considering thermal power flexibility modification cost, which can fully consider the cost of a thermal power generating unit, improve the enthusiasm of the thermal power plant for participating in flexibility modification, and improve the deep peak regulation capacity of the thermal power generating unit so as to improve the consumption capacity of renewable energy of the thermal power generating unit.
In order to achieve the purpose, the invention adopts the following technical scheme:
the renewable energy consumption capacity improving method considering thermal power flexibility modification cost comprises the following steps:
determining a unit output parameter according to the running state and the energy consumption characteristics of the thermal power unit;
drawing a thermal power generating unit consumption characteristic diagram according to the value of the unit output parameter, and meanwhile, establishing a thermal power generating unit peak regulation cost function;
step three, combining the peak regulation cost function of the thermal power generating unit established in the step two, simultaneously considering constraint conditions and transformation cost, aiming at increasing new energy consumption and reducing system operation cost, and establishing an operation cost optimization model containing a high-proportion renewable power system;
step four, applying the deep peak regulation compensation to the operation cost optimization model containing the high-proportion renewable power system established in the step three;
and fifthly, determining the optimal peak regulation compensation coefficient of the thermal power generating unit by considering the output of the renewable energy.
Preferably, a thermal power generating unit consumption characteristic diagram is drawn according to the value of the unit output parameter, and when the output of the thermal power generating unit i is greater than PaA conventional peak regulation stage; when the output of the thermal power generating unit I is not more than PaBut greater than PbA deep peak regulation stage; when the output of the thermal power generating unit I is not more than PbBut greater than PcA deep peak regulation oil feeding stage; wherein, Pa，Pb，PcThe minimum value of the unit output in the conventional peak regulation stage, the minimum value of the unit output in the deep peak regulation non-oil-throwing stage and the minimum value of the unit output in the deep peak regulation oil-throwing stage are respectively.
Preferably, the thermal power generating unit peak shaving cost function is as follows:
Figure BDA0002787472700000031
where T denotes the total number of simulation periods, f (P)th(i,t)) For the operating cost of thermal power generating units, NuintNumber of thermal power generating units, Pth(i,t)The output of the thermal power generating unit i in the time period t is obtained;
Figure BDA0002787472700000032
Pwind(t)respectively representing theoretical maximum output and actual output of the wind turbine generator at a time interval t; cwindPunishment cost coefficient for wind power;
Figure BDA0002787472700000033
PPV(t)respectively representing theoretical maximum output and actual output of the photovoltaic unit in a time period t; cPVThe cost coefficient is punished for the wind power,
Figure BDA0002787472700000034
i unit is transformed through j kinds of flexibilityThe maximum value is synthesized,
Figure BDA0002787472700000035
comprehensive cost, Q, of thermal power generating unit i is transformed through j kinds of flexibilityiAnd (4) judging whether the unit is modified or not, wherein 0 is not accepted, and 1 is accepted.
Preferably, the constraint condition includes an electric quantity balance constraint, a generating power range constraint and a thermal power generating unit climbing constraint.
Preferably, the following formula is used for the power balance constraint:
Figure BDA0002787472700000041
wherein, PL(t)Representing the user load for this t period.
Preferably, the following formula is adopted for generating power range constraint:
Figure BDA0002787472700000042
wherein,
Figure BDA0002787472700000043
the maximum value and the minimum value of the output of the thermal power generating unit are set as i;
Figure BDA0002787472700000044
Figure BDA0002787472700000045
the maximum value and the minimum value of the output of the thermal power generating unit before the i unit is transformed by j types;
Figure BDA0002787472700000046
respectively taking the theoretical minimum output values of the wind turbine generator and the photovoltaic generator;
Figure BDA0002787472700000047
respectively taking theoretical maximum output values of the wind turbine generator and the photovoltaic generator;Qiand (4) judging whether the unit is modified or not, wherein 0 is not accepted, and 1 is accepted.
Preferably, the thermal power generating unit climbing constraint is carried out by adopting the following formula:
Figure BDA0002787472700000048
wherein R is0For the original climbing force data, R(i,j)The rate of the thermal power generating unit i after j types of transformation is obtained; pth(i,t-1)And the output of the thermal power generating unit i in the t-1 period is obtained.
Preferably, the reconstruction cost is calculated by the following formula:
Figure BDA0002787472700000049
wherein, CgIn order to improve the cost factor,
Figure BDA00027874727000000410
is the capacity of a standard unit.
Preferably, the correlation function of the depth peaking compensation is:
Figure BDA00027874727000000411
wherein, Cm(i,t)The method comprises the steps of obtaining an electric quantity compensation coefficient of a thermal power generating unit i at the moment t and the duration of a delta t time period t;
the compensation coefficient is related to the magnitude of new energy output, and the expression is as follows:
Figure BDA00027874727000000412
wherein, KmAnd (5) a new energy conversion coefficient.
The invention has the beneficial effects that:
the method considers the cost brought by the flexibility modification of the thermal power generating unit, has more accurate calculation cost and is more fair to the cost calculation of the thermal power plant; meanwhile, the deep peak regulation capability of the thermal power plant is improved after the thermal power plant is flexibly transformed, and the participation of the thermal power plant in the deep peak regulation is compensated by an auxiliary service mechanism means based on peak regulation compensation, so that the enthusiasm of the thermal power plant in the deep peak regulation is improved.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a flow chart of a method of the present invention;
FIG. 2 is a thermal power generating unit consumption characteristic diagram in step two of the present invention;
FIG. 3 is a comparison graph of the operation cost of two compensation coefficient systems for steam extraction and heat supply modification according to the present invention;
FIG. 4 is a graph showing the change trend of the utilization rate of renewable energy resources along with the coefficient of the improvement cost in the steam extraction and heat supply improvement of the invention;
FIG. 5 is a trend chart of the change of the total output ratio of various energy sources along with the change of the transformation cost coefficient in the steam extraction and heat supply transformation implemented by the invention;
FIG. 6 is an enlarged view of a portion of the new energy source of FIG. 5;
FIG. 7 is a comparison of the operating costs of two compensation coefficient systems for straight condensing high back pressure modification in accordance with the present invention;
FIG. 8 is a graph of the change trend of the rejection rate of renewable energy with the modification cost coefficient for the straight condensing high back pressure modification of the present invention;
FIG. 9 is a graph showing the trend of the ratio change of the total output of various energy sources along with the change of the transformation cost coefficient in the pure coagulation high back pressure transformation of the invention;
fig. 10 is an enlarged view of a portion of the new energy source of fig. 9;
FIG. 11 is a diagram of the development of the plant without flexibility modification of the invention (typical day);
FIG. 12 is a drawing of a unit development (typical day) through steam extraction and heat supply modification according to the present invention;
fig. 13 is a drawing of a unit work force (typical day) of the present invention through a straight condensing high back pressure modification.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to the attached fig. 1, the invention provides a renewable energy consumption capacity improving method considering thermal power flexibility modification cost, which includes the following steps:
step one, determining a according to the running state and the energy consumption characteristics of the thermal power generating uniti，bi，ciValue a ofi，bi，ciThe output parameters of the unit i are obtained;
step two, according to the output parameter a of the uniti，bi，ciDrawing a thermal power generating unit consumption characteristic diagram according to the value of the peak load, and establishing a thermal power generating unit peak regulation cost function;
step three, combining the peak regulation cost function of the thermal power generating unit established in the step two, and considering electric quantity balance constraint, generating power range constraint, climbing constraint conditions of the thermal power generating unit and transformation cost at the same time, aiming at increasing new energy consumption and reducing system operation cost, and establishing an operation cost optimization model containing a high-proportion renewable power system;
step four, applying the deep peak regulation compensation to the operation cost optimization model containing the high-proportion renewable power system established in the step three, reducing the operation cost of the thermal power plant, and improving the enthusiasm of the thermal power plant for participating in the flexibility modification and the deep peak regulation;
and step five, determining the optimal peak regulation compensation coefficient of the thermal power generating unit by considering the output of the renewable energy, and comparing the new compensation coefficient with the operation result of the deep peak regulation duration under the old compensation coefficient.
According to the unit output parameter ai，bi，ciThe value of the thermal power generating unit is used for drawing a thermal power generating unit consumption characteristic diagram, and when the output of the thermal power generating unit i is greater than P, as shown in figure 2aIs a regular peak adjustment phase (RPR); when the output of the thermal power generating unit I is not more than PaBut greater than PbA deep peak adjustment (DPR) phase; when the output of the thermal power generating unit I is not more than PbBut greater than PcA deep peak adjustment with oil phase (DPRO); wherein, Pa，Pb，PcThe minimum value (critical value) of the output of the unit in the conventional peak shaving stage, the minimum value (critical value) of the output of the unit in the deep peak shaving non-oil-throwing stage and the minimum value (critical value) of the output of the unit in the deep peak shaving oil-throwing stage are respectively.
Thermal power unit peak regulation cost function:
Figure BDA0002787472700000071
where T denotes the total number of simulation periods, f (P)th(i,t)) For the operating cost of thermal power generating units, NuintNumber of thermal power generating units, Pth(i,t)The output of the thermal power generating unit i in the time period t is obtained;
Figure BDA0002787472700000072
Pwind(t)respectively representing theoretical maximum output and actual output of the wind turbine generator at a time interval t; cwindPunishment cost coefficient for wind power;
Figure BDA0002787472700000073
PPV(t)respectively representing theoretical maximum output and actual output of the photovoltaic unit in a time period t; cPVThe cost coefficient is punished for the wind power,
Figure BDA0002787472700000074
for i unit to pass through j kinds of lingThe activity is improved to the maximum value comprehensively,
Figure BDA0002787472700000075
comprehensive cost, Q, of thermal power generating unit i is transformed through j kinds of flexibilityiAnd (4) judging whether the unit is modified or not, wherein 0 is not accepted, and 1 is accepted.
The following formula is adopted for carrying out the electric quantity balance constraint:
Figure BDA0002787472700000076
wherein, PL(t)Representing the user load for this t period.
The following formula is adopted for generating power range constraint:
Figure BDA0002787472700000081
wherein,
Figure BDA0002787472700000082
the maximum value and the minimum value of the output of the thermal power generating unit are set as i;
Figure BDA0002787472700000083
Figure BDA0002787472700000084
the maximum value and the minimum value of the output of the thermal power generating unit before the i unit is transformed by j types;
Figure BDA0002787472700000085
respectively taking the theoretical minimum output values of the wind turbine generator and the photovoltaic generator;
Figure BDA0002787472700000086
respectively taking theoretical maximum output values of the wind turbine generator and the photovoltaic generator; qiAnd (4) judging whether the unit is modified or not, wherein 0 is not accepted, and 1 is accepted.
The thermal power generating unit climbing constraint is carried out by adopting the following formula:
Figure BDA0002787472700000087
wherein R is0For the original climbing force data, R(i,j)The rate of the thermal power generating unit i after j types of transformation is obtained; pth(i,t-1)And the output of the thermal power generating unit i in the t-1 period is obtained.
The reconstruction cost is calculated with the following formula:
Figure BDA0002787472700000088
wherein, CgIn order to improve the cost factor,
Figure BDA0002787472700000089
is the capacity of a standard unit. The reforming cost of the thermal power generating unit can be approximately proportional to the capacity of the reforming unit.
The correlation function for depth peaking compensation is:
Figure BDA00027874727000000810
wherein, Cm(i,t)The method comprises the steps of obtaining an electric quantity compensation coefficient of a thermal power generating unit i at the moment t and the duration of a delta t time period t;
the compensation coefficient is related to the magnitude of new energy output, and the expression is as follows:
Figure BDA00027874727000000811
wherein, KmAnd (5) a new energy conversion coefficient.
The method considers the cost brought by the flexibility modification of the thermal power generating unit, has more accurate calculation cost and is more fair to the cost calculation of the thermal power plant; meanwhile, the deep peak regulation capability of the thermal power plant is improved after the thermal power plant is flexibly transformed, and the participation of the thermal power plant in the deep peak regulation is compensated by an auxiliary service mechanism means based on peak regulation compensation, so that the enthusiasm of the thermal power plant in the deep peak regulation is improved.
Taking a certain area as an example, the method for improving the renewable energy consumption capability considering the thermal power flexibility modification cost is used for compensating the flexibility modification of the thermal power generating unit, and the improvement of the flexibility modification on the thermal power grid system is evaluated by comparing the performances of the renewable energy consumption, the operation cost, the deep peak regulation and the like of the scene with the operation cost optimization model containing a high-proportion renewable power system. 150MW of the wind power installation machine and 150MW of the photovoltaic power generation installation machine in the region account for about 40% of the installation machine in the whole region, and output data of the wind power generation and the photovoltaic power generation from 2018 in the region are selected as samples. The simulation time is 5000h, and the time interval is 15 min.
The experimental set parameters are shown in table 1.
Figure BDA0002787472700000091
TABLE 1 thermal power plant parameters without modification
In order to make the calculation analysis conclusion clearer, the invention divides the calculation scenes of the calculation examples into the following two scenes, wherein the scene one is a basic scene:
(1) scene one
Under the condition of large-scale new energy access, the economic loss of system operation is the minimum, and the most economic operation of a conventional power supply and a peak regulation resource which is modified by adopting steam extraction in an operation period is considered. (determination of optimal cost of modification)
(2) Scene two
Under the condition of large-scale new energy access, the economic loss of system operation is the minimum, the conventional power supply is adopted and pure condensation high back pressure transformation is adopted as the optimized operation of peak regulation resources under different electricity price mechanisms in the operation period.
Figure BDA0002787472700000101
TABLE 2 Compensation effect comparison (steam extraction modification)
Figure BDA0002787472700000102
TABLE 3 Compensation effect comparison (straight condensing high back pressure modification)
Figure BDA0002787472700000103
TABLE 4 scene Performance comparison (typical day)
FIG. 3 is a comparison graph of the operation costs of two compensation coefficient systems in a scene, and it can be seen that when a conventional auxiliary service mechanism is adopted, the reconstruction cost coefficient is as large as 1.8 times CgWhen the steam extraction and the modification are carried out, the steam extraction and the modification by adopting a flexible modification means are higher than the cost of the non-modification, and the modification is cancelled; when a renewable energy output service mechanism is considered, the reconstruction cost coefficient is as large as 2.0 times CgAnd when the steam extraction and transformation are carried out by adopting a flexible transformation means, the steam extraction and transformation cost is higher than that of the steam extraction and transformation cost without transformation, and the total cost is lower than that of the traditional compensation means. It is therefore shown from the above studies that renewable energy output service mechanisms are considered. Should be used. The differences of specific compensation cost, new energy abandon rate and the like are shown in a table 2.
Fig. 4 is a diagram of a trend of the renewable energy utilization rate along with the transformation cost coefficient, and it can be seen that as the transformation cost increases, part of units abandon the transformation, which leads to the increase of the renewable energy utilization rate.
Fig. 5 and fig. 6 are a trend graph (overall graph) and a partial enlarged graph of the change of the total output ratio of various energy sources along with the change of the transformation cost coefficient in a scene respectively. It can be seen that as the cost of the retrofit increases, some units will abandon the retrofit, which will result in a slight decrease in the renewable energy output.
FIG. 7 is a comparison graph of the operation costs of two compensation coefficient systems in a scene, and it can be seen that when a conventional auxiliary service mechanism is adopted, the reconstruction cost coefficient is as large as 1.4 times CgThe high back pressure modification by the flexible modification means is already higher than the cost without modification. The modification should be cancelled at this time. When a renewable energy output service mechanism is considered, the reconstruction cost coefficient is as large as 1.6 times CgAnd when the steam extraction and transformation are carried out by adopting a flexible transformation means, the steam extraction and transformation cost is higher than that of the steam extraction and transformation cost without transformation, and the total cost is lower than that of the traditional compensation means. It is therefore shown from the above studies that renewable energy output service mechanisms are considered. Should be used. The differences of specific compensation cost, new energy abandon rate and the like are shown in a table 3.
FIG. 8 is a trend graph of the utilization rate of renewable energy sources along with the change of the transformation cost coefficient in the scene two, and it can be seen that, due to the increase of the transformation cost, part of units abandon the transformation, which leads to the increase of the utilization rate of renewable energy sources and when the transformation cost coefficient reaches 1.6 times CgThe total renewable energy utilization rate at this time will exceed 5%, which does not meet the design requirements of the present example.
Fig. 9 and fig. 10 are a trend graph (overall graph) and a partial enlarged graph of the change of the total output ratio of the two various types of energy in the scene along with the change of the transformation cost coefficient, respectively. It can be seen that as the cost of the retrofit increases, some units will abandon the retrofit, which will result in a slight decrease in the renewable energy output.
The numerical comparisons of fig. 3-10, and table 2 table 3. The following conclusions can be drawn:
1. two modifications are used, which can be used when the cost factor is low (i.e. it is desirable to have a longer run time to reflect its economic effect). The high back pressure modification is compared with the steam extraction modification, and when the modification cost coefficient is higher than 0.2 times CgAnd then, adopting steam extraction for modification. Otherwise, high back pressure modification is adopted; when the transformation cost coefficient is as large as 1.8 times C, the steam extraction transformation by adopting a flexible transformation means is higher than the cost without transformation, and the transformation is cancelled at the moment.
2. As the transformation cost coefficient is increased, part of the units abandon the transformation, which causes the output of renewable energy to slightly decrease.
3. Compared with steam extraction transformation, the high back pressure transformation is more sensitive relative to the transformation cost coefficient, so that the transformation effect can be reflected only by running for a long time (more than 25000 h).
Fig. 11 to 13 are diagrams of a power grid system without flexibility modification and a unit performance diagram of a scene one and a scene two on a typical day, respectively.
By comparing the transformation modes in the above scenario with respect to the operating cost of the power system and the renewable energy consumption capability, the following conclusions can be drawn:
(1) the flexible modification of the thermal power generating unit can effectively improve the consumption capability of renewable energy sources of the power system;
(2) the flexibility improvement of the thermal power generating unit can effectively reduce the operation cost of the power system;
(3) compared with steam extraction transformation, the transformation mode of pure condensation high voltage multiplication has better effect on improving the performance of the power system.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (9)

1. The renewable energy consumption capacity improving method considering thermal power flexibility modification cost is characterized by comprising the following steps of:
determining a unit output parameter according to the running state and the energy consumption characteristics of the thermal power unit;
drawing a thermal power generating unit consumption characteristic diagram according to the value of the unit output parameter, and meanwhile, establishing a thermal power generating unit peak regulation cost function;
step three, combining the peak regulation cost function of the thermal power generating unit established in the step two, simultaneously considering constraint conditions and transformation cost, aiming at increasing new energy consumption and reducing system operation cost, and establishing an operation cost optimization model containing a high-proportion renewable power system;
step four, applying the deep peak regulation compensation to the operation cost optimization model containing the high-proportion renewable power system established in the step three;
and fifthly, determining the optimal peak regulation compensation coefficient of the thermal power generating unit by considering the output of the renewable energy.
2. The method for improving renewable energy consumption capability considering thermal power flexibility transformation cost according to claim 1, wherein a thermal power unit consumption characteristic diagram is drawn according to the value of a unit output parameter, and when the output of the thermal power unit i is greater than PaA conventional peak regulation stage; when the output of the thermal power generating unit I is not more than PaBut greater than PbA deep peak regulation stage; when the output of the thermal power generating unit I is not more than PbBut greater than PcA deep peak regulation oil feeding stage; wherein, Pa，Pb，PcThe minimum value of the unit output in the conventional peak regulation stage, the minimum value of the unit output in the deep peak regulation non-oil-throwing stage and the minimum value of the unit output in the deep peak regulation oil-throwing stage are respectively.
3. The method for improving the renewable energy consumption capability by considering the thermal power flexibility improvement cost as claimed in claim 2, wherein the thermal power unit peak shaving cost function is as follows:
Figure FDA0002787472690000011
where T denotes the total number of simulation periods, f (P)th(i,t)) For the operating cost of thermal power generating units, NuintThe number of the thermal power generating units is the same as the number of the thermal power generating units,Pth(i,t)the output of the thermal power generating unit i in the time period t is obtained;
Figure FDA0002787472690000012
Pwind(t)respectively representing theoretical maximum output and actual output of the wind turbine generator at a time interval t; cwindPunishment cost coefficient for wind power;
Figure FDA0002787472690000013
PPV(t)respectively representing theoretical maximum output and actual output of the photovoltaic unit in a time period t; cPVThe cost coefficient is punished for the wind power,
Figure FDA0002787472690000021
the comprehensive maximum value is transformed for the unit i through j kinds of flexibility,
Figure FDA0002787472690000022
comprehensive cost, Q, of thermal power generating unit i is transformed through j kinds of flexibilityiAnd (4) judging whether the unit is modified or not, wherein 0 is not accepted, and 1 is accepted.
4. The method for improving the renewable energy consumption capability considering the thermal power flexibility improvement cost according to claim 3, wherein the constraint conditions include an electric quantity balance constraint, a power generation power range constraint and a thermal power unit climbing constraint.
5. The method for improving the renewable energy consumption capability considering the thermal power flexibility improvement cost is characterized in that the electric quantity balance constraint is carried out by adopting the following formula:
Figure FDA0002787472690000023
wherein, PL(t)Representing the user load for this t period.
6. The method for improving the renewable energy consumption capability considering the thermal power flexibility improvement cost according to claim 5, is characterized in that the generated power range constraint is carried out by adopting the following formula:
Figure FDA0002787472690000024
wherein,
Figure FDA0002787472690000025
the maximum value and the minimum value of the output of the thermal power generating unit are set as i;
Figure FDA0002787472690000026
Figure FDA0002787472690000027
the maximum value and the minimum value of the output of the thermal power generating unit before the i unit is transformed by j types;
Figure FDA0002787472690000028
respectively taking the theoretical minimum output values of the wind turbine generator and the photovoltaic generator;
Figure FDA0002787472690000029
respectively taking theoretical maximum output values of the wind turbine generator and the photovoltaic generator; qiAnd (4) judging whether the unit is modified or not, wherein 0 is not accepted, and 1 is accepted.
7. The method for improving the renewable energy consumption capability considering the thermal power flexibility improvement cost is characterized in that the thermal power unit climbing constraint is carried out by adopting the following formula:
Figure FDA00027874726900000210
wherein R is0For the original climbing force data, R(i,j)As heat powerThe speed of the unit i after j types of transformation; pth(i,t-1)And the output of the thermal power generating unit i in the t-1 period is obtained.
8. The method for improving the renewable energy consumption capability considering the thermal power flexibility modification cost according to claim 7, is characterized in that the modification cost is calculated by adopting the following formula:
Figure FDA0002787472690000031
wherein, CgIn order to improve the cost factor,
Figure FDA0002787472690000032
is the capacity of a standard unit.
9. The method for improving the renewable energy consumption capability considering the thermal power flexibility improvement cost according to claim 8, wherein the correlation function of the deep peak shaving compensation is as follows:
Figure FDA0002787472690000033
wherein, Cm(i,t)The method comprises the steps of obtaining an electric quantity compensation coefficient of a thermal power generating unit i at the moment t and the duration of a delta t time period t;
the compensation coefficient is related to the magnitude of new energy output, and the expression is as follows:
Figure FDA0002787472690000034
wherein, KmAnd (5) a new energy conversion coefficient.
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