CN114462902A - Distributed power generation scheduling method considering photo-thermal and water potential integrated energy storage output - Google Patents

Distributed power generation scheduling method considering photo-thermal and water potential integrated energy storage output Download PDF

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CN114462902A
CN114462902A CN202210384407.3A CN202210384407A CN114462902A CN 114462902 A CN114462902 A CN 114462902A CN 202210384407 A CN202210384407 A CN 202210384407A CN 114462902 A CN114462902 A CN 114462902A
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刘帅
王誉杰
孙波
赵浩然
张洪亮
周飞龙
杨耀帅
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Abstract

The invention provides a distributed power generation scheduling method considering photo-thermal and water potential integrated energy storage output, which belongs to the technical field of distributed power generation scheduling, and is characterized in that photo-thermal energy storage output is adopted when the generated energy of photo-thermal energy storage side output required by each sampling time period is less than or equal to the upper limit threshold of photo-thermal power generation output and the actual photo-thermal energy storage total amount is greater than the generated energy of photo-thermal energy storage side output required by each sampling time period; when the generated energy required to be output by the water potential energy storage side in each sampling period is within a preset range smaller than the water potential power generation output upper limit threshold value and the actual water potential energy storage is larger than the generated energy required to be output by the water potential energy storage side in each sampling period, adopting water potential energy storage to output; when the scene does not meet the conditions, the optimal photo-thermal output and water potential output results are obtained by taking the minimum cost of the photo-thermal and water potential comprehensive energy storage side as a target; the invention overcomes the limitation of single energy storage mode of the energy storage side, improves the power consumption capability and optimizes the structure and cost of power grid dispatching.

Description

Distributed power generation scheduling method considering photo-thermal and water potential integrated energy storage output
Technical Field
The invention relates to the technical field of distributed power generation dispatching, in particular to a distributed power generation dispatching method considering photo-thermal and water potential integrated energy storage output.
Background
The statements in this section merely provide background information related to the present disclosure and may not constitute prior art.
The power generation technology based on clean energy has a plurality of research achievements at present, the achievements generally indicate that wind power generation and photovoltaic power generation depend on natural environment conditions, the fluctuating performance, the intermittent performance, the uncertainty and the inverse peak regulation performance are achieved, power grid operation can be full of unstable factors due to the fact that power generation is carried out only by means of single type of clean energy, however, research and development also indicate that the photovoltaic output and the wind power output have good power generation complementary advantages under the general condition, a power generation network is built by adopting distributed grid-connected logic, the pollution level of a traditional power generation mode can be greatly reduced, the power generation efficiency is improved, and therefore, the advantages of the distributed clean energy power generation technology are obvious.
However, the distributed clean energy power generation technology also brings the problems of wind and light abandonment, uncoordinated supply and demand scheduling and other power consumption problems. Currently, the commonly used energy storage technologies are mainly classified into electrochemical energy storage, electromagnetic energy storage, physical energy storage, phase change energy storage, and the like. In the prior art, only a single energy storage mode is generally considered to be applied to a power grid, less research on output of an energy storage side is paid attention to in detail, few achievements on the problem of comprehensive power dispatching in different scenes of small areas and cross areas are considered, the energy storage side has the problems of high cost, unbalanced energy storage supply and demand and the like, the power consumption capability cannot be fully brought into play with the effect according to local conditions, and the flexibility of output of the energy storage side is poor.
Disclosure of Invention
In order to solve the defects of the prior art, the invention provides a distributed power generation scheduling method considering photo-thermal and water potential integrated energy storage output, overcomes the limitation of single energy storage mode of an energy storage side, mainly analyzes the output power generation effect of the energy storage side, comprehensively considers the power generation scheduling problem under different scenes of a small region and a cross region based on the output of the energy storage side, improves the power consumption capability, and optimizes the structure and the cost of power grid scheduling.
In order to achieve the purpose, the invention adopts the following technical scheme:
the invention provides a distributed power generation dispatching method considering photo-thermal and water potential integrated energy storage output.
A distributed power generation scheduling method considering photo-thermal and water potential integrated energy storage output comprises the following processes:
when the generated energy required to be output by the photo-thermal energy storage side in each sampling period is less than or equal to the upper limit threshold of the photo-thermal power generation output, and the actual total amount of the photo-thermal energy storage is greater than the generated energy required to be output by the photo-thermal energy storage side in each sampling period, the photo-thermal energy storage output is adopted;
when the generated energy required to be output by the water potential energy storage side in each sampling period is within a preset range smaller than the water potential power generation output upper limit threshold value and the actual water potential energy storage is larger than the generated energy required to be output by the water potential energy storage side in each sampling period, adopting water potential energy storage to output;
and when the scene does not meet the conditions, the optimal photo-thermal output and water potential output results are obtained by taking the minimum cost of the photo-thermal and water potential comprehensive energy storage side as a target.
The invention provides a distributed power generation dispatching system considering photo-thermal and water potential integrated energy storage output.
A distributed power generation dispatching system considering photo-thermal and water potential integrated energy storage output comprises:
a photo-thermal energy storage processing determination module configured to: when the generated energy required to be output by the photo-thermal energy storage side in each sampling period is less than or equal to the upper limit threshold of the photo-thermal power generation output, and the actual total amount of the photo-thermal energy storage is greater than the generated energy required to be output by the photo-thermal energy storage side in each sampling period, the photo-thermal energy storage output is adopted;
a water potential energy storage processing and judging module configured to: when the generated energy required to be output by the water potential energy storage side in each sampling period is within a preset range smaller than the water potential power generation output upper limit threshold value and the actual water potential energy storage is larger than the generated energy required to be output by the water potential energy storage side in each sampling period, adopting water potential energy storage to output;
a hybrid process optimization module configured to: and when the scene does not meet the conditions, the optimal photo-thermal output and water potential output results are obtained by taking the minimum cost of the photo-thermal and water potential comprehensive energy storage side as a target.
A third aspect of the invention provides a computer readable storage medium having stored thereon a program which, when executed by a processor, performs the steps of the distributed power generation scheduling method considering integrated energy storage contribution from photo-thermal and water potential according to the first aspect of the invention.
A fourth aspect of the present invention provides an electronic device, including a memory, a processor, and a program stored in the memory and executable on the processor, where the processor executes the program to implement the steps in the distributed power generation scheduling method considering integrated energy storage output of photo-thermal and water potential according to the first aspect of the present invention.
Compared with the prior art, the invention has the beneficial effects that:
1. the invention overcomes the limitation of single energy storage mode of the energy storage side, mainly analyzes the output power generation effect of the energy storage side, comprehensively considers the power generation scheduling problem under different scenes of a small region and a cross region based on the output of the energy storage side, fills the research blank of analyzing the power generation output effect of the energy storage side to a certain extent, has more comprehensive considered power generation scheduling scenes, improves the power consumption capability and optimizes the structure and the cost of power grid scheduling.
2. The invention establishes an output characteristic expression of clean energy distributed grid-connected power generation, describes two energy storage characteristics of photo-thermal and water potential, gives out the total output and constraint conditions of power generation of daily network access, points out the importance of the output of the energy storage side, establishes a cost-power generation amount relation function of the energy storage side, and finally realizes the dispatching of power supply and demand balance in different small-area and trans-area scenes based on an energy storage side output utilization optimization method.
Advantages of additional aspects of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
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The accompanying drawings, which are incorporated in and constitute a part of this specification, are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, illustrate exemplary embodiments of the invention and together with the description serve to explain the invention and not to limit the invention.
Fig. 1 is a schematic view of an overall structure of a power generation and supply system provided in embodiment 1 of the present invention.
Fig. 2 is a partial power generation structure diagram considering only the output of the photo-thermal-water potential energy storage side according to embodiment 1 of the present invention.
Fig. 3 is a schematic flow chart of a distributed power generation scheduling method considering integrated energy storage output of photo-thermal and water potential provided in embodiment 1 of the present invention.
Detailed Description
The invention is further described with reference to the following figures and examples.
It is to be understood that the following detailed description is exemplary and is intended to provide further explanation of the invention as claimed. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the invention. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
The embodiments and features of the embodiments of the present invention may be combined with each other without conflict.
Example 1:
as shown in fig. 1, 2, and 3, embodiment 1 of the present invention provides a distributed power generation scheduling method considering integrated energy storage output of photo-thermal and water potential, including the following processes:
: based on the contemporaneous historical data of the output of photovoltaic power generation, wind power generation and natural hydroelectric power generation in the same regional environment, the power generation output characteristics of the three power generation technologies in different time periods every day are respectively analyzed, and a discrete empowerment model of clean energy distributed grid-connected complementary output power generation is established without considering an energy storage link:
Figure 279597DEST_PATH_IMAGE001
(1)
in the formula,
Figure 605405DEST_PATH_IMAGE002
for the expression after the processing of the sum of the output power generation and the weighting,
Figure 126516DEST_PATH_IMAGE003
sequentially representing the characteristic coefficients of photovoltaic output, wind power output and natural water output in a sampling time period k,
Figure 569042DEST_PATH_IMAGE004
the photovoltaic output sum, the wind power output sum and the natural water power output sum in the sampling time period k are sequentially obtained.
: and calculating the output of the photo-thermal energy storage power generation.
The principle of photo-thermal energy storage is that the light collecting mirror field is utilized to absorb heat of solar radiation, and the heat is conducted to the heat reservoir to carry out calcium molten salt internal heat reaction (calcium circulation reaction) so as to store solar energy into heat energy. When power generation is required, heat energy is conducted to the steam engine to generate steam, and therefore the steam turbine generator is used for generating power.
The photo-thermal energy storage output has ideal economic benefit under the condition of small power generation requirement, and the economic benefit level is obviously reduced under the condition of large power generation requirement.
(1) According to the photo-thermal energy storage characteristics, a daily logarithmic weighting operation cost model of photo-thermal energy storage output is constructed:
Figure 554315DEST_PATH_IMAGE005
(2)
in the formula,
Figure 801757DEST_PATH_IMAGE006
for the daily cost after the output of the photothermal energy storage is logarithmically weighted,
Figure 872481DEST_PATH_IMAGE007
is a natural number
Figure 112839DEST_PATH_IMAGE009
A logarithmic function of the base.
Figure 952619DEST_PATH_IMAGE010
The light-heat conversion rated capacity, the heat-heat conduction rated capacity and the power generation rated capacity are sequentially arranged.
Figure 370962DEST_PATH_IMAGE011
In turn, light-to-heat conversion efficiency, heat-to-heat conduction efficiency, and heat-to-electricity conversion efficiency,
Figure 663403DEST_PATH_IMAGE012
in turn, the light-to-heat conversion cost, the heat-to-heat conduction cost, and the heat-to-electricity conversion cost per unit capacity.
(2) The total daily photo-thermal energy storage is considered:
Figure 707451DEST_PATH_IMAGE013
(3)
in the formula,
Figure 401737DEST_PATH_IMAGE014
represents the total amount of photo-thermal energy storage per day.
Figure 990982DEST_PATH_IMAGE015
Indicating the initial amount of photo-thermal energy storage.
Figure 36298DEST_PATH_IMAGE016
Is a physical characterization coefficient of the average illumination intensity within the sampling period k.
(3) The solar-thermal energy storage power generation output within the sampling period k in the day is considered:
Figure 618458DEST_PATH_IMAGE017
(4)
in the formula,
Figure 167251DEST_PATH_IMAGE018
and the photo-thermal energy storage power generation output within the sampling time period k is shown.
Figure 192976DEST_PATH_IMAGE019
And represents the power generation amount required for generating power by using the photo-thermal energy storage in the sampling period k.
Figure 460009DEST_PATH_IMAGE020
Is a Boolean logic operation when
Figure 580281DEST_PATH_IMAGE021
When the temperature of the water is higher than the set temperature,
Figure 249160DEST_PATH_IMAGE022
(ii) a When in use
Figure 445786DEST_PATH_IMAGE023
When the temperature of the water is higher than the set temperature,
Figure 934536DEST_PATH_IMAGE024
: and calculating the generated output of the water potential energy storage.
The principle of water potential energy storage is that when power generation output is enriched, redundant electric energy is supplied to a water pumping energy storage system, and a water pump pumps water in a downstream reservoir to an upstream reservoir, so that the redundant electric energy is converted into potential energy of the water for storage. When power generation is required, the stored water in the upstream reservoir is released, and power generation is performed through the hydroelectric power generation system.
The water potential energy storage output is suitable for occasions with high power generation requirements, and the economic benefit level is obviously reduced under the condition of small power generation requirements.
(1) According to the water potential energy storage characteristics, constructing a daily exponential weighting operation cost model of the water potential energy storage output:
Figure 124078DEST_PATH_IMAGE025
(5)
in the formula,
Figure 647463DEST_PATH_IMAGE026
the output for water potential energy storage refers to the daily cost after weighting,
Figure 749411DEST_PATH_IMAGE027
is an exponential function of the natural number e.
Figure 991036DEST_PATH_IMAGE028
The rated capacity of the electric-potential conversion, the rated capacity of the potential-potential conduction and the rated capacity of the power generation are sequentially arranged.
Figure 718690DEST_PATH_IMAGE029
The electric-potential conversion efficiency, the potential-potential conduction efficiency, and the potential-electric conversion efficiency are in order.
Figure 96582DEST_PATH_IMAGE030
The electric-potential conversion cost, the potential-potential conduction cost and the potential-electric conversion cost at a unit capacity are sequentially included.
(2) Considering the total amount of water potential energy stored per day:
Figure 697327DEST_PATH_IMAGE031
(6)
in the formula,
Figure 98353DEST_PATH_IMAGE032
represents the total amount of water potential energy storage per day,
Figure 442746DEST_PATH_IMAGE033
representing the initial amount of water potential stored energy, r (k) is a physical characterization coefficient of the water flow path flow over a sampling period k.
(3) Considering the water potential energy storage power generation output in the sampling time period k in the day:
Figure 127675DEST_PATH_IMAGE034
(7)
in the formula,
Figure 633742DEST_PATH_IMAGE035
and representing the water potential energy storage power generation output in the sampling time period k.
Figure 787643DEST_PATH_IMAGE036
Representing a sampling period
Figure 670148DEST_PATH_IMAGE038
The power generation capacity of water potential energy storage power generation is required.
Figure 227161DEST_PATH_IMAGE039
Is a Boolean logic operation when
Figure 904130DEST_PATH_IMAGE040
When the temperature of the water is higher than the set temperature,
Figure 279748DEST_PATH_IMAGE041
(ii) a When in use
Figure 965944DEST_PATH_IMAGE042
When the temperature of the water is higher than the set temperature,
Figure 359885DEST_PATH_IMAGE043
: under the condition of considering an energy storage link, the previous steps are integrated, the daily characteristics of the distributed grid-connected complementary power generation output of the clean energy are determined, and the total power generation output of the distributed clean energy which is connected into the grid daily is as follows:
Figure 473335DEST_PATH_IMAGE044
(8)
in the formula,
Figure 336248DEST_PATH_IMAGE045
the total output of the power generation of the daily network access,
Figure 560556DEST_PATH_IMAGE046
and the equivalent output conversion factors of photo-thermal energy storage and water potential energy storage are sequentially adopted.
The total power generation output of the daily network access represented by the formula (8) meets the following basic constraint conditions:
Figure 74583DEST_PATH_IMAGE047
in the formula,
Figure 358934DEST_PATH_IMAGE048
Figure 443565DEST_PATH_IMAGE049
sequentially represents the lower limit threshold values of the network access standard, the photo-thermal power generation output, the water potential power generation output, the photo-thermal energy storage and the water potential energy storage,
Figure 471564DEST_PATH_IMAGE050
the upper limit threshold value is correspondingly represented,
Figure 840097DEST_PATH_IMAGE051
representing the maximum allowable output fluctuation difference.
Total power generation output P of the network access every day given by the formula (8)dIs regulated and controlled by the actual power supply requirement,
Figure 295349DEST_PATH_IMAGE052
the direct output is from clean energy, and the uncontrollable output is;
Figure 195172DEST_PATH_IMAGE053
the energy storage side output from photo-thermal energy storage and water potential energy storage is controllable. For uncontrollable output
Figure 698966DEST_PATH_IMAGE054
The surplus output can be converted into controllable output by a photo-thermal-water potential comprehensive energy storage method
Figure 735055DEST_PATH_IMAGE055
The purposes of output complementation and output controllability are achieved. Thus, the total power P of the power generation grid per daydThe system can be regulated and controlled by actual power generation requirements, so that the supply and demand balance at two ends of the source load is ensured, and the reasonable power dispatching is ensured.
: and 5, the total output of the power generation and the network access is regulated and controlled by the actual power supply demand, and the analysis in the fifth step shows that the power supply demand source can be divided into direct output and energy storage side output. There are many mature system conclusions for the direct output research, but the energy storage side output research is not comprehensive. Only the part of the power supply demand source requiring the output of the energy storage side is considered, and the daily total cost of the photo-thermal-water potential comprehensive energy storage side is described firstly on the basis of the part, and the functional relation between the cost of the energy storage side and the output of the energy storage side is considered secondly.
(1) Cost issues are discussed. The photo-thermal energy storage is directly from solar energy, and the water potential energy storage is from conversion of surplus electric power. The former is small and the latter is large on the energy storage scale. In addition, the photo-thermal energy storage depends on the illumination condition, and the water potential energy storage depends on the water flow condition. And (3) combining the characteristics and analyzing the two energy storage characteristics in the second step and the third step, and initially establishing a daily total cost model of the photo-thermal-water potential combined energy storage side:
Figure 548159DEST_PATH_IMAGE056
(15)
in the formula,
Figure 669699DEST_PATH_IMAGE057
the cost of converting the photo-thermal energy storage output and the cost of converting the water potential energy storage output are sequentially included.
Figure 977183DEST_PATH_IMAGE058
In turn, the illumination conversion cost and the flow conversion cost over the sampling period k.
(2) The functional relationship between the energy storage side cost and the energy storage side output is discussed. In equation (15), the sampling period within a day
Figure 133358DEST_PATH_IMAGE038
Internal photo-thermal energy storage output
Figure 117363DEST_PATH_IMAGE059
Energy storage output by mixing water potential
Figure 726199DEST_PATH_IMAGE060
The general power generation output of the two energy storage modes is indicated by the formulas (4) and (5) respectively, and the general power generation output of the two energy storage modes is generated according to the power generation amount of the power grid required energy storage side output
Figure 571795DEST_PATH_IMAGE061
And (4) determining. Therefore, the cost of the energy storage side and the power generation amount of the energy storage side have a direct relation, and the equation (15) can be equivalently expressed as a cost-power generation amount relation function of the energy storage side:
Figure 582477DEST_PATH_IMAGE062
(16)
wherein,
Figure 737383DEST_PATH_IMAGE063
(17)
in the formula,
Figure 833515DEST_PATH_IMAGE064
and representing a cost-power generation relation function of the energy storage side.
Figure 482803DEST_PATH_IMAGE065
Representing cost-generated energy relation function of energy storage side and generated energy
Figure 613570DEST_PATH_IMAGE066
The sum of all terms that are not related.
S6: based on the part of the power supply demand requiring the output of the energy storage side, the power generation scheduling problem of power supply and demand balance under different scenes of a small region and a trans-region is comprehensively considered.
The small area is a peripheral area where the distributed clean energy complementary grid-connected power generation side is located, and the power supply requirement of a load end of the small area is small due to the fact that the area where the power generation side is located is far away. The trans-regional area is a developed area such as a town to which power is transmitted after grid connection on the power generation side, and the power supply demand of the load side of the trans-regional area is large.
Adopt the direct purpose of light and heat energy storage and the access electricity generation side of water potential energy storage simultaneously, just considered the problem that the single energy storage output that the too big difference of little region and trans-regional load end rule leads to is not enough or single energy storage cost is extravagant. In the second step and the third step, it is proposed that the photo-thermal energy storage output power generation is more economical for small-scale power supply requirements, the water potential energy storage output power generation is more economical for large-scale power supply requirements, and in most scenes, the two are comprehensively applied to have better economic benefits. Therefore, under the condition that the direct output condition meets the requirement of the power grid, three power supply demand scenes utilizing the energy storage side are established, and a corresponding scheduling method is provided:
the method comprises the following steps: the power supply requirement of using the output of the energy storage side is only in a small area, and the requirement of all sampling periods is met
Figure 939378DEST_PATH_IMAGE067
Total power generation capacity with internal need of photo-thermal energy storage side output
Figure 257227DEST_PATH_IMAGE068
Not exceeding the upper limit threshold of the output of the photo-thermal power generation
Figure 710205DEST_PATH_IMAGE069
Conditions of (a) i.e.
Figure 695478DEST_PATH_IMAGE070
(ii) a Simultaneously satisfies the actual photo-thermal energy storage total amount
Figure 198047DEST_PATH_IMAGE071
The conditions of (1). In this scenario, only photo-thermal energy storage is used to exert force, then
Figure 3192DEST_PATH_IMAGE072
Equation (16) is rewritten as:
Figure 994282DEST_PATH_IMAGE073
(18)
scene two: the power supply requirement of the output of the energy storage side is utilized only in the cross region, and all sampling periods are met
Figure 834062DEST_PATH_IMAGE074
Generated energy with internal need of water potential energy storage side output
Figure 501672DEST_PATH_IMAGE075
Upper limit threshold value of power generation output under water potential
Figure 59692DEST_PATH_IMAGE076
Within a certain range of conditions, i.e. satisfies
Figure 775845DEST_PATH_IMAGE077
The conditions of (a); simultaneously satisfies the actual water potential energy storage
Figure 673393DEST_PATH_IMAGE078
The conditions of (1). Under the scene, only the water potential energy is used for storing the output, then
Figure 324955DEST_PATH_IMAGE079
Equation (16) is rewritten as:
Figure 291642DEST_PATH_IMAGE080
(19)
scene three: in practice, the situations of the first and second scenes are not likely to occur due to too severe conditions, and therefore the situations cover all other power supply requirements of the energy storage side except the situations of the first and second scenes. The power generation scheduling problem based on the photo-thermal-water potential comprehensive energy storage side output under the scene is an optimization problem. Establishing a target function with the minimum cost on the photo-thermal-water potential comprehensive energy storage side by using a cost-power generation amount relation function on the energy storage side in an equation (17):
Figure 624535DEST_PATH_IMAGE081
(20)
sampling period in all days
Figure 438907DEST_PATH_IMAGE082
In, the constraint conditions are:
Figure 448320DEST_PATH_IMAGE083
(21)
Figure 715354DEST_PATH_IMAGE084
(22)
in the formula,
Figure 851937DEST_PATH_IMAGE085
representing the total power generation demand required by the output of the energy storage side in the power supply demand in the sampling period k, making in real time according to the actual supply and demand relationship,
Figure 520816DEST_PATH_IMAGE086
is a ratio limiting factor of the generated output of the energy storage side in the total generated output of the network during the sampling period k,
Figure 701130DEST_PATH_IMAGE087
and is and
Figure 393143DEST_PATH_IMAGE088
and formulating in real time according to the requirements of an actual power grid.
And (3) solving by a Newton method based on the objective function to obtain a distributed power generation dispatching method considering photo-thermal-water potential comprehensive energy storage output.
Example 2:
the embodiment 2 of the invention provides a distributed power generation dispatching system considering photo-thermal and water potential integrated energy storage output, which comprises:
a photo-thermal energy storage processing determination module configured to: when the generated energy required to be output by the photo-thermal energy storage side in each sampling period is less than or equal to the upper limit threshold of the photo-thermal power generation output, and the actual total amount of the photo-thermal energy storage is greater than the generated energy required to be output by the photo-thermal energy storage side in each sampling period, the photo-thermal energy storage output is adopted;
a water potential energy storage processing and judging module configured to: when the generated energy required to be output by the water potential energy storage side in each sampling period is within a preset range smaller than the water potential power generation output upper limit threshold value and the actual water potential energy storage is larger than the generated energy required to be output by the water potential energy storage side in each sampling period, adopting water potential energy storage to output;
a hybrid process optimization module configured to: and when the scene does not meet the conditions, the optimal photo-thermal output and water potential output results are obtained by taking the minimum cost of the photo-thermal and water potential comprehensive energy storage side as a target.
The working method of the system is the same as the distributed power generation scheduling method considering the integrated energy storage output of photo-thermal and water potential provided in embodiment 1, and details are not repeated here.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (10)

1. A distributed power generation scheduling method considering photo-thermal and water potential integrated energy storage output is characterized in that:
the method comprises the following steps:
when the generated energy required to be output by the photo-thermal energy storage side in each sampling period is less than or equal to the upper limit threshold of the photo-thermal power generation output, and the actual total amount of the photo-thermal energy storage is greater than the generated energy required to be output by the photo-thermal energy storage side in each sampling period, the photo-thermal energy storage output is adopted;
when the generated energy required to be output by the water potential energy storage side in each sampling period is within a preset range smaller than the water potential power generation output upper limit threshold value and the actual water potential energy storage is larger than the generated energy required to be output by the water potential energy storage side in each sampling period, adopting water potential energy storage to output;
and when the scene does not meet the conditions, the optimal photo-thermal output and water potential output results are obtained by taking the minimum cost of the photo-thermal and water potential comprehensive energy storage side as a target.
2. The distributed power generation scheduling method considering integrated energy storage output of photo-thermal and water potential as claimed in claim 1, wherein:
the relation function of the cost and the generated energy of the energy storage side when the photo-thermal energy storage is adopted to output power is as follows:
Figure 619248DEST_PATH_IMAGE001
wherein,
Figure 209498DEST_PATH_IMAGE002
the generated energy of the photo-thermal energy storage power generation is required to be adopted in the sampling time period k,
Figure 406124DEST_PATH_IMAGE003
representing the photo-thermal energy storage power generation output within the sampling time period k,
Figure 160454DEST_PATH_IMAGE004
for the daily cost after the output of the photothermal energy storage is logarithmically weighted,
Figure 84416DEST_PATH_IMAGE005
for illumination within a sampling period kReduced cost, csteThe cost is reduced for the photo-thermal energy storage output.
3. The distributed power generation scheduling method considering integrated energy storage output of photo-thermal and water potential as claimed in claim 1, wherein:
the relation function of the cost and the generated energy of the energy storage side when the water potential energy storage output is adopted is as follows:
Figure 607801DEST_PATH_IMAGE006
wherein,
Figure 975329DEST_PATH_IMAGE007
the generated energy of the water potential energy storage power generation is required to be adopted in the sampling time period k,
Figure 951375DEST_PATH_IMAGE008
representing the water potential energy storage power generation output within the sampling period k, cepeThe cost is reduced for the water potential energy storage output,
Figure 492078DEST_PATH_IMAGE009
for the daily cost after the water potential energy storage output is logarithmically weighted,
Figure 322499DEST_PATH_IMAGE010
the cost is reduced for the flow in the sampling period k.
4. The distributed power generation scheduling method considering integrated energy storage output of photo-thermal and water potential as claimed in claim 1, wherein:
the total power generation output of the distributed power generation in the network access every day is as follows:
Figure 657666DEST_PATH_IMAGE011
wherein, among others,
Figure 324271DEST_PATH_IMAGE012
is an equivalent output conversion factor of photo-thermal energy storage,
Figure 403085DEST_PATH_IMAGE013
is an equivalent output conversion factor of photo-thermal energy storage and water potential energy storage,
Figure 88013DEST_PATH_IMAGE014
is the sum of photovoltaic output, wind power output and natural water power output in a time period k,
Figure 594081DEST_PATH_IMAGE015
generating output power for the photo-thermal energy storage in the sampling time period k,
Figure 810299DEST_PATH_IMAGE016
storing energy and generating output power for the water potential in the sampling time period k,
Figure 630487DEST_PATH_IMAGE017
is the total amount of photo-thermal energy storage per day,
Figure 982971DEST_PATH_IMAGE018
the total energy storage amount of daily water potential.
5. The distributed power generation scheduling method considering integrated energy storage output of photo-thermal and water potential as claimed in claim 1, wherein:
photo-thermal energy storage power generation output within sampling time period k
Figure 112470DEST_PATH_IMAGE019
Comprises the following steps:
Figure 550404DEST_PATH_IMAGE020
wherein,
Figure 908705DEST_PATH_IMAGE021
represents the power generation amount required to generate power by using the photo-thermal energy storage in the sampling period k,
Figure 381274DEST_PATH_IMAGE022
for Boolean logic operation, when
Figure 421955DEST_PATH_IMAGE023
When the temperature of the water is higher than the set temperature,
Figure 347185DEST_PATH_IMAGE024
when is coming into contact with
Figure 509176DEST_PATH_IMAGE025
When the temperature of the water is higher than the set temperature,
Figure 836252DEST_PATH_IMAGE026
6. the distributed power generation scheduling method considering integrated energy storage output of photo-thermal and water potential as claimed in claim 1, wherein:
water potential energy storage power generation output within time period k
Figure 120603DEST_PATH_IMAGE027
Comprises the following steps:
Figure 720081DEST_PATH_IMAGE028
wherein,
Figure 482500DEST_PATH_IMAGE029
Figure 601766DEST_PATH_IMAGE029
the generated energy of the water potential energy storage power generation is required to be adopted in the sampling time period k,
Figure 57018DEST_PATH_IMAGE030
for Boolean logic operation, when
Figure 143792DEST_PATH_IMAGE031
When the temperature of the water is higher than the set temperature,
Figure 709902DEST_PATH_IMAGE032
(ii) a When in use
Figure 745991DEST_PATH_IMAGE033
When the temperature of the water is higher than the set temperature,
Figure 309828DEST_PATH_IMAGE034
7. the distributed power generation scheduling method considering integrated energy storage output of photo-thermal and water potential as claimed in claim 1, wherein:
the upper limit of the preset range is the water potential power generation output upper limit threshold, and the lower limit of the preset range is the product of the first coefficient and the water potential power generation output upper limit threshold.
8. The utility model provides a consider light and heat and water potential and synthesize distributed generation dispatch system that energy storage was exported which characterized in that:
the method comprises the following steps:
a photo-thermal energy storage processing determination module configured to: when the generated energy required to be output by the photo-thermal energy storage side in each sampling period is less than or equal to the upper limit threshold of the photo-thermal power generation output, and the actual total amount of the photo-thermal energy storage is greater than the generated energy required to be output by the photo-thermal energy storage side in each sampling period, the photo-thermal energy storage output is adopted;
a water potential energy storage processing and judging module configured to: when the generated energy required to be output by the water potential energy storage side in each sampling period is within a preset range smaller than the water potential power generation output upper limit threshold value and the actual water potential energy storage is larger than the generated energy required to be output by the water potential energy storage side in each sampling period, adopting water potential energy storage to output;
a hybrid process optimization module configured to: and when the scene does not meet the conditions, the optimal photo-thermal output and water potential output results are obtained by taking the minimum cost of the photo-thermal and water potential comprehensive energy storage side as a target.
9. The distributed power generation dispatching system considering integrated thermal and water potential energy storage output of claim 8, wherein:
the relation function of the cost and the generated energy of the energy storage side when the photo-thermal energy storage is adopted to output power is as follows:
Figure 696947DEST_PATH_IMAGE035
wherein,
Figure 988120DEST_PATH_IMAGE036
the generated energy of the photo-thermal energy storage power generation is required to be adopted in the sampling time period k,
Figure 144295DEST_PATH_IMAGE003
representing the photo-thermal energy storage power generation output within the sampling time period k,
Figure 879032DEST_PATH_IMAGE004
for the daily cost after the output of the photothermal energy storage is logarithmically weighted,
Figure 487868DEST_PATH_IMAGE005
for the cost of illumination in the sampling period k, csteThe cost is reduced for the photo-thermal energy storage output.
10. The distributed power generation dispatching system considering integrated thermal and water potential energy storage output of claim 8, wherein:
the relation function of the cost and the generated energy of the energy storage side when the water potential energy storage output is adopted is as follows:
Figure 848311DEST_PATH_IMAGE037
wherein,
Figure 858993DEST_PATH_IMAGE007
the generated energy of the water potential energy storage power generation is required to be adopted in the sampling time period k,
Figure 826949DEST_PATH_IMAGE008
representing the water potential energy storage power generation output within the sampling period k, cepeThe cost is reduced for the water potential energy storage output,
Figure 860764DEST_PATH_IMAGE009
the daily cost after the output of the water potential energy storage is logarithmically weighted,
Figure 306789DEST_PATH_IMAGE010
the cost is reduced for the flow in the sampling period k.
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