CN115940258A - Wind, light and water storage-containing power grid optimized operation method, system and readable medium - Google Patents
Wind, light and water storage-containing power grid optimized operation method, system and readable medium Download PDFInfo
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Abstract
The invention belongs to the technical field of power grid operation, and relates to a method, a system and a readable medium for optimizing operation of a power grid containing wind, light and water storage, wherein the method comprises the following steps: analyzing complementary characteristics of the wind, light and water storage system according to seasonal characteristics; according to the complementary characteristics of the wind-solar-water storage system, establishing an operation strategy of the wind-solar-water storage system in the dry season; establishing an optimized operation model of the wind-solar-water storage system according to the operation strategy of the wind-solar-water storage system in the dry season and by combining the actual operation characteristics of the hydropower station; and optimizing the operation process of the power grid containing the wind, light and water storage according to the wind, light and water storage system optimization operation model. The method reduces the influence of uncertainty of wind and light resources on the power grid, standardizes the random behaviors of the source and load sides, and improves the economical efficiency of the power grid operation.
Description
Technical Field
The invention relates to a method, a system and a readable medium for optimizing operation of a power grid containing wind, light and water storage, and belongs to the technical field of power grid operation.
Background
With the social development, the research and application of novel clean energy such as wind energy, solar energy and the like are more and more extensive, and the novel clean energy has a very wide development prospect, but with the rapid increase of the installation scale of the new energy, the fluctuation and the intermittence of the output of the novel clean energy bring great challenges to the safe operation of a power grid. Wind power, photovoltaic power generation and hydropower have natural time-space complementary characteristics, and the defects of single energy during grid-connected operation can be overcome.
However, the wind and light resources have the characteristics of high randomness and high intermittence. The volatility of the two can cause a plurality of problems to the scheduling operation of the system. The hydroelectric generation has the characteristics of low unit cost and large influence by seasons. In order to ensure that the water level of the downstream is stable in the dry season, the traditional hydropower station discharges water with a plurality of capacities every day to generate electricity, does not pay much attention to the optimized operation of hydropower, and does not carry out reasonable operation scheduling arrangement according to the specific characteristics of wind, light and water resources.
Disclosure of Invention
In view of the above problems, the present invention provides a method, a system and a readable medium for optimizing operation of a power grid including wind, light and water storage, which reduce the influence of uncertainty of wind and light resources on the power grid, standardize random behaviors at the source and load sides, and improve the economy of power grid operation.
In order to achieve the purpose, the invention provides the following technical scheme: a method for optimizing operation of a power grid containing wind, light and water storage comprises the following steps: analyzing complementary characteristics of the wind, light and water storage system according to seasonal characteristics; according to the complementary characteristics of the wind-solar-water storage system, establishing an operation strategy of the wind-solar-water storage system in the dry season; establishing an optimal operation model of the wind-solar-water storage system according to the operation strategy of the wind-solar-water storage system in the dry season and by combining the actual operation characteristics of the hydropower station; and optimizing the operation process of the power grid containing the wind, light and water storage according to the wind, light and water storage system optimization operation model.
Further, the wind, light and water storage system has the complementary characteristics that: in winter with large wind power, wind and light combined energy storage is used for ensuring basic load power supply, and hydropower is used for adjusting peak load curve of a power grid; in summer with small wind power, water and electricity are preferentially used to ensure basic load power supply, and wind, light and energy storage are used to ensure peak load power supply.
Further, the method for generating the operation strategy of the wind-solar-water storage system in the dry season comprises the following steps: according to the load curve P in the week L Wind power output curve P in week WT The intra-cycle photovoltaic output curve P PV Forming an equivalent load curve P in the week EL (ii) a Equivalent load curve P in said week EL A part less than zero is used for charging the battery energy storage system, and when the required electric power exceeds the maximum charging power P c,max Then wind and light abandoning operation is carried out; equivalent load curve P in said week EL The part larger than zero is used for judging the power P generated by the hydroelectric operation HP Maximum discharge power P of battery energy storage system d,max And if the sum is larger than the daily average equivalent load of the corresponding time, generating the operation strategy of the wind-solar-water storage system in the dry season according to the judgment result.
Further, the running strategy of the wind, light and water storage system in the dry season is as follows: if the hydropower operates to generate power P HP Maximum discharge power P of battery energy storage system d,max If the sum is larger than the daily average equivalent load of the corresponding time, the battery energy storage system is pressed according to (P) EL -P HP ) Discharging; if the hydropower operates to generate the power P HP Maximum discharge power P of battery energy storage system d,max And if the sum is less than the daily average equivalent load of the corresponding time, the wind, light and water storage system needs to be subjected to load shedding operation.
Further, the equivalent load curve P in the week EL The calculation formula of (c) is:
wherein, the first and the second end of the pipe are connected with each other,
is the equivalent load at time t; />
Is the load within the week at time t; />
Is the wind-electricity output at the moment t within the week; />
Is the intra-cycle photovoltaic output at time t; α is a correction coefficient representing the recognition degree of the prediction result by the dispatcher.
Further, the optimal operation model of the wind, light and water storage system is as follows:
wherein f is an objective function, and minf represents the minimum value of the required objective function, namely, the optimal operation scheme of the wind, light and water storage system; t is an operation scheduling period, the method is combined with actual setting to be 168 hours (one week), and optimized scheduling is carried out by taking the hours as a unit; q t Is the water consumption flow at time t; q P Predicted scheduled water usage for the month; k is a penalty factor; p is t shedding Is the load shedding at time t;
is the load in the week at time t.
Further, the limiting conditions of the wind, light and water storage system optimization operation model are as follows: the power balance constraint conditions are as follows:
wherein, P t EL 、P t HP And P t BESS Equivalent load, hydroelectric power output and energy storage charging and discharging are respectively carried out at the time of t; p t shedding Is the load shedding at time t; p t shedding Is the cut load for time period t; n is a radical of hydrogen HP Is the number of hydroelectric power; n is a radical of BESS Is the amount of energy that is stored,
abandoning wind and light workRate; the water balance constraint conditions are as follows:
V t ＝V t-1 +I t-1 Δt-Q t-1 Δt
wherein, I t-1 Is the warehousing traffic at time t-1; v t-1 Is the storage capacity at time t-1; v t Is the storage capacity at time t; q t-1 Is the water consumption flow at time t-1; the constraint conditions of the charge and discharge power of the battery energy storage system are as follows:
wherein, P BESs Is energy storage charging and discharging, P c,max Is the maximum charging power, P c,min Is the minimum charging power, P d,min Is the minimum discharge power, P d,max Is the maximum discharge power; the capacity constraint conditions of the battery energy storage system are as follows:
E BESS,min ≤E BESs ≤E BESS,max
wherein E is BESS Is the capacity of the battery energy storage system, E BESS,min Is the minimum capacity of the battery energy storage system; e BESS,max Is the maximum capacity of the battery energy storage system.
Further, the calculation formula of the capacity of the battery energy storage system is as follows:
wherein the content of the first and second substances,
is the capacity of the battery energy storage system at time t, σ is the self-discharge ratio of the battery energy storage system, P t BESS Is the charge-discharge power at time t, and η is the charge-discharge efficiency.
The invention also discloses a power grid optimized operation system containing wind, light and water storage, which comprises the following components: the complementary characteristic analysis module is used for analyzing complementary characteristics of the wind, light and water storage system according to seasonal characteristics; the operation strategy making module is used for making the operation strategy of the wind-solar-water storage system in the dry season according to the complementary characteristics of the wind-solar-water storage system; the model establishing module is used for establishing an optimal operation model of the wind-solar-water storage system according to the operation strategy of the wind-solar-water storage system in the dry season and by combining the actual operation characteristics of the hydropower station; and the optimization operation module is used for optimizing the operation process of the power grid containing the wind, light and water storage according to the wind, light and water storage system optimization operation model.
The invention also discloses a computer readable storage medium, wherein a computer program is stored on the computer readable storage medium and is executed by a processor to realize the optimal operation method of the power grid containing the wind, light and water storage.
Due to the adoption of the technical scheme, the invention has the following advantages: the invention constructs a medium-long term operation strategy of the wind-light-water power storage grid suitable for the dry season, and establishes an optimized operation model by taking the lowest operation water consumption and monthly plan water consumption as a target, thereby reducing the influence of uncertainty of wind and light resources on the power grid, standardizing random behaviors of a source side and a load side, and improving the economical efficiency of power grid operation.
Drawings
FIG. 1 is a flow chart of a method for optimizing operation of a power grid including wind, photovoltaic and water storage according to an embodiment of the invention;
FIG. 2 is a schematic diagram of an intra-cycle load curve and an intra-cycle equivalent load curve according to an embodiment of the present invention, wherein the lighter colored line on the top of the diagram is the intra-cycle load curve and the darker colored line on the bottom of the diagram is the intra-cycle equivalent load curve;
FIG. 3 is a graph of the average wind, photovoltaic and load curves of a reservoir in accordance with an embodiment of the present invention, with plot (a) being the first week; panel (b) is the second week; panel (c) is week three; the fourth plot (d) shows the average storage flow rate of the reservoir in the plot (a) as 3.5m 3 S; the average storage flow of the reservoir in the graph (b) was 4.4m 3 S; the average storage flow of the reservoir in the graph (c) was 3.9m 3 S; the average storage flow rate of the reservoir in graph (d) was 4.2m 3 /s；
FIG. 4 is a graph of output power of a power grid system containing wind, light and water storage in one month after the optimization method of the embodiment of the invention is adopted, and the graph (a) is the first week; panel (b) is the second week; panel (c) is week three; panel (d) is the fourth week;
FIG. 5 is a diagram comparing the grid optimization pre-and post-grid optimization hydroelectric operation scenarios in an embodiment of the present invention.
Detailed Description
The present invention is described in detail with reference to specific embodiments for better understanding of the technical solutions of the present invention. It should be understood, however, that the detailed description is provided for purposes of illustration only and should not be construed to limit the invention. In describing the present invention, it is to be understood that the terminology used is for the purpose of description only and is not intended to be interpreted as indicating or implying any relative importance.
The invention provides a method, a system and a readable medium for optimizing operation of a power grid comprising wind, light and water storage, which aim at the seasonal characteristics of water energy and the fluctuation characteristics of wind power and photovoltaic power generation in the daytime, constructs a medium-long term operation strategy of a wind, light and water storage power grid suitable for the dry season, takes the lowest operating water consumption and monthly planned water consumption as a target to construct an optimized operation model, reduces the influence of uncertainty of wind and light resources on the power grid, standardizes the random behaviors of a source side and a load side, and improves the economy of power grid operation. The invention will be described in detail below by way of examples with reference to the accompanying drawings.
The first embodiment is as follows:
the embodiment discloses an optimal operation method of a power grid containing wind, light and water storage, which comprises the following steps:
s1, complementary characteristics of the wind, light and water storage system are analyzed according to seasonal characteristics.
Unlike wind and solar power generation, which has uncontrollable randomness and volatility, the water holding capacity of a reservoir can smooth short-term fluctuation of flow, so that hydropower has good capacity characteristics.
Therefore, the wind, light and water storage system has the complementary characteristics that: in winter with large wind power, the water and electricity are in the dry season, the illumination intensity is low, the water and electricity are not suitable for large-scale use in order to ensure that the water level of the reservoir does not fall below the dead water level before the dry season is over, the wind and light combined energy storage is used for ensuring the basic load power supply, and the water and electricity is used for peak load regulation of the load curve of the power grid; in summer with small wind power, the hydropower is in a rich water period, and in order to ensure that the reservoir is not higher than the flood control high water level and the power supply is more reliable than wind and light, the hydropower should be preferentially used to ensure the power supply of a basic load, and the wind, the light and the stored energy are used to ensure the power supply of a peak load.
And S2, according to complementary characteristics of the wind-light-water storage system, making an operation strategy of the wind-light-water storage system in a dry season.
In the embodiment, a month is selected as an operation decision period of the wind, light and water storage system, and in order to ensure the production safety of downstream fishery and agriculture, weeks are taken as an operation scheduling period of hydropower, namely, the operation arrangement of the hydropower around the week is matched with a hydropower scheduling plan of a corresponding month.
The method for generating the operation strategy of the wind-light-water storage system in the dry season comprises the following steps:
s2.1 when the operation positions of the power supplies are calculated in an optimized mode, firstly, the load curve P in the week is used L Intra-cycle wind power output curve P WT The intra-cycle photovoltaic output curve P PV Forming an equivalent load curve P in the week EL ；
S2.2 subsequent equivalent load Curve P in week EL Less than zero, at maximum charging power P c,max Charging the battery energy storage system when the required electric power exceeds the maximum charging power P c,max Then wind and light abandoning operation is carried out;
s2.3 equivalent load curve P in week EL The part of the water and electricity is judged to generate power P when the part is larger than zero HP Maximum discharge power P of battery energy storage system d,max And if the sum is larger than the daily average equivalent load of the corresponding time, generating a wind-light-water storage system operation strategy in the dry season according to a judgment result. Operation of wind, light and water storage system in dry seasonThe strategy is as follows: if the hydropower operates to generate power P HP Maximum discharge power P of battery energy storage system d,max If the sum is larger than the daily average equivalent load of the corresponding time, the battery energy storage system presses (P) EL -P HP ) Discharging; if the hydropower operates to generate power P HP Maximum discharge power P of battery energy storage system d,max And if the sum is less than the daily average equivalent load of the corresponding time, the load shedding operation of the wind, light and water storage system is required. The calculation formula of the cutting load is as follows: p shedding ＝P EL -P HP -P d,max
Wherein, P shedding Is to cut off the load, P d，max Is the maximum discharge power. During normal operation of the independent power grid, the occurrence of load shedding conditions should be avoided as much as possible.
In practical situations, if a large deviation exists only in the prediction of the power supply, the actual power generation amount of the hydropower at the end of the month will be seriously deviated from the planned power. Particularly, if the actual power generation conditions of wind and light are lower than the expected power generation conditions, planned water consumption of hydropower is consumed in advance, even the stored energy is continuously in a low-capacity storage state, and finally load shedding is caused.
In order to simplify the prediction deviation, the prediction errors of wind and light are uniformly described, namely an equivalent load curve is selected as the basis of operation decision. When the optimization operation calculation is carried out, a correction coefficient alpha can be added on the basis of the equivalent load curve so as to reflect the recognition degree of a dispatcher on the prediction result. Equivalent load curve P in week EL The calculation formula of (2) is as follows:
wherein the content of the first and second substances,
is the equivalent load at time t; />
Is the load within the week at time t;/>
is the wind-electricity output at the moment t within the week;
is the intra-cycle photovoltaic output at time t; α is a correction coefficient representing the recognition degree of the prediction result by the dispatcher. When alpha is<When 1, the scheduling personnel think that the overall prediction result is larger; when alpha is>When 1, the scheduler considers that the overall prediction result is small.
And S3, establishing an optimized operation model of the wind-light-water storage system according to the operation strategy of the wind-light-water storage system in the dry season and by combining the actual operation characteristics of the hydropower station.
In order to ensure the production safety of downstream fishery and agriculture, an objective function is established by taking the difference between the operation water consumption of the hydropower station in the current month and the estimated scheduling water consumption in the current month as a target, and in order to avoid the occurrence of the load shedding condition as much as possible, the time interval of the load shedding behavior is added into the objective function in the form of a penalty function. The optimal operation model of the wind, light and water storage system is as follows:
wherein f is an objective function, minf represents the minimum value of the required objective function, namely the optimal operation scheme of the wind, light and water storage system; t is an operation scheduling period, the method is combined with actual setting to be 168 hours (one week), and optimized scheduling is carried out by taking the hours as a unit; q t Is the water consumption flow at time t; q P Predicted scheduled water usage for the month; k is a penalty factor; p t shedding Is the load shedding at time t;
is the load in the week at time t.
The limiting conditions of the wind, light and water storage system optimization operation model are as follows: the power balance constraint conditions are as follows:
wherein, P t EL 、P t HP And P t BESS Equivalent load, hydroelectric power output and energy storage charging and discharging are respectively carried out at the time of t; p is t shedding Is the load shedding at time t; p t shedding Is the cut-off load for the t period; n is a radical of hydrogen HP Is the quantity of water and electricity; n is a radical of hydrogen BESS Is the amount of energy stored in the tank,
the wind and light power are abandoned; the water balance constraint conditions are as follows:
V t ＝V t-1 +I t-1 Δt-Q t-1 Δt
wherein, I t-1 Is the warehousing traffic at time t-1; v t-1 Is the storage capacity at time t-1; v t Is the storage capacity at time t; q t-1 Is the water consumption flow at time t-1; the constraint conditions of the charge and discharge power of the battery energy storage system are as follows:
wherein, P BESS Is energy storage charging and discharging, P c,max Is the maximum charging power, P c,min Is the minimum charging power, P d,min Is the minimum discharge power, P d,max Is the maximum discharge power; the capacity constraint conditions of the battery energy storage system are as follows:
E BESS,min ≤E BESS ≤E BESS,max
wherein E is BESS Is the capacity of the battery energy storage system, E BESS,min Is the minimum capacity of the battery energy storage system; e BESS,max Is the maximum capacity of the battery energy storage system.
Further, the calculation formula of the capacity of the battery energy storage system is as follows:
wherein the content of the first and second substances,
is the capacity of the battery energy storage system at time t, σ is the self-discharge ratio of the battery energy storage system, P t BESS Is the charge and discharge power in the period t, and η is the charge and discharge efficiency, and is generally a constant value of 0.95.
And S4, optimizing the operation process of the power grid containing the wind, light and water storage system according to the optimized operation model of the wind, light and water storage system.
In order to verify the optimal operation direction of the power grid, a hydropower station optimization project containing wind, light and water storage is selected for case study. The project is equipped with a 10MW wind power generation system, a 5MW photovoltaic power generation system, a 12MWh energy storage system and a 10MW hydroelectric system. The maximum charging power of the stored energy is 2MW, and the maximum discharging power is 4MW. The hydropower station belongs to a regulation type hydropower station, the independent operation dead water level is 30m, and the corresponding storage capacity is 0.7 multiplied by 10 7 m 3 Normal water level is 60m, and corresponding storage capacity is 2 x 10 7 m 3
According to the predicted monthly average wind power, photovoltaic and load curves, the wind power generation is about 4040MWh, the photovoltaic power generation is about 861MWh and the load is about 5745MWh in the month. The average monthly warehouse entry flow is 4m 3 The water consumption of the hydropower dispatching system is predicted to be 1.05 multiplied by 10/s, the water level at the beginning of the month is 55.54m 7 m 3 . The corrected 11 months per weekday average wind power, photovoltaic and load curves are shown in fig. 3: wherein the average storage flow of the reservoir in the graph (a) is 3.5m 3 S; the average storage flow of the reservoir in the graph (b) is 4.4m 3 S; the average storage flow rate of the reservoir in graph (c) was 3.9m 3 S; the average storage flow rate of the reservoir in graph (d) was 4.2m 3 /s。
As shown in FIG. 4, through optimization calculation, the total water consumption of hydropower stations containing wind, light and water storage in the month is 1.032 × 10 under the condition of satisfying the constraint 7 m 3 . Wherein the capacity of the energy storage system has small fluctuation range in the daytime and fluctuates averagely in the first week1.71%, the average fluctuation in the second week was 1.42%, the average fluctuation in the third week was 1.41%, and the average fluctuation in the fourth week was 0%. In fact, the smaller the capacity fluctuation of the energy storage system, the less the electricity shortage in the current month is basically supplemented by the hydropower, so that the closer the water consumption for optimizing the operation is to the predicted monthly scheduling amount.
In the first week, the wind and light output is large, and the peak valley is adjusted by the stored energy through the charging and discharging behaviors, so that a hydropower station is not needed for generating electricity, and even the wind power of 1.45MWh is abandoned due to the limited charging capacity of the stored energy.
The second and third weeks were similar. From the point of view of the equivalent load curve, hydropower is mainly supplemented with electric quantity for the peak load part. The water power provided an average of 44.93MWh in the second week and 47.76MWh in the third week. The wind power output at night basically meets the load requirement at night, so that the energy storage system does not have a large amount of charging behaviors to obtain electric quantity. However, the part load shortage in the daytime is less than 0.5MW of the minimum output of hydropower, energy storage is needed for discharging, and excessive discharging electricity can cause the capacity fluctuation of the energy storage system in the same day to be large. Therefore, in order to ensure the balance of the charging and discharging electric quantity of the energy storage system during the daytime as much as possible, the hydropower station can generate more electricity to charge the stored energy in part of time. Such as 6 to 8 points in the second week and 8 points in the third week.
In the fourth week, the wind and light output are relatively sufficient, and the small load difference at night and in the morning is complemented mainly by energy storage and charge and discharge. When the load difference is large in the afternoon, the hydropower station generates electricity to complement the peak load. The weekly water provided an average of 21.03MWh of electricity on a daily basis.
In fact, many hydroelectric power stations discharge several volumes of water each day to generate electricity during the dry period in order to ensure that the downstream water level is stable, and less attention is paid to hydropower optimization operation. And comparing and analyzing the operation strategy with the hydropower operation scheme obtained under the optimized operation strategy. As shown in fig. 5, in a power grid containing wind, light and water storage, optimal operation of water and electricity and regulation and control of water consumption are not performed, so that wind and light resources cannot be fully utilized, and wind and light are abandoned under the condition that part of power supplies are sufficient; the fluctuation of the capacity of the energy storage system in the daytime is large, so that the power supply reliability is not ensured; through the regulation and control of the optimal operation method of the power grid containing wind, light and water storage in the embodiment, the water consumption of the hydropower station in the power generation operation ensures that the water level is not continuously reduced, and the power generation efficiency of the water consumption of the hydropower station is improved.
According to the method, a medium-long term operation strategy suitable for the wind, light and water storage power grid in the dry season is built, an optimized operation model is established by taking the lowest operation water consumption and monthly plan water consumption as a target, the influence of uncertainty of wind and light resources on the power grid is reduced, random behaviors of a source side and a load side are standardized, and the economical efficiency of power grid operation is improved.
Example two:
based on the same inventive concept, the embodiment discloses a power grid optimized operation system containing wind, light and water storage, which comprises:
the complementary characteristic analysis module is used for analyzing complementary characteristics of the wind, light and water storage system according to seasonal characteristics;
the operation strategy making module is used for making the operation strategy of the wind-solar-water storage system in the dry season according to the complementary characteristics of the wind-solar-water storage system;
the model establishing module is used for establishing an optimal operation model of the wind-solar-water storage system according to the operation strategy of the wind-solar-water storage system in the dry season and by combining the actual operation characteristics of the hydropower station;
and the optimization operation module is used for optimizing the operation process of the power grid containing the wind, light and water storage system according to the optimization operation model of the wind, light and water storage system.
Example three:
based on the same inventive concept, the embodiment discloses a computer-readable storage medium, on which a computer program is stored, and the computer program is executed by a processor to implement any one of the above-mentioned grid optimized operation methods including wind, light and water storage.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application 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, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. 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.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims. The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A power grid optimization operation method containing wind, light and water storage is characterized by comprising the following steps:
analyzing complementary characteristics of the wind, light and water storage system according to seasonal characteristics;
according to the complementary characteristics of the wind-solar-water storage system, establishing an operation strategy of the wind-solar-water storage system in the dry season;
establishing an optimal operation model of the wind-solar-water storage system according to the operation strategy of the wind-solar-water storage system in the dry season and by combining the actual operation characteristics of the hydropower station;
and optimizing the operation process of the power grid containing the wind, light and water storage according to the wind, light and water storage system optimization operation model.
2. The optimal operation method of the power grid comprising the wind, photovoltaic and water storage system of claim 1, wherein the complementary characteristics of the wind, photovoltaic and water storage system are as follows:
in winter with large wind power, wind and light combined energy storage is used for ensuring basic load power supply, and hydropower is used for adjusting peak load curve of a power grid;
in summer with small wind power, water and electricity are preferentially used to ensure basic load power supply, and wind, light and energy storage are used to ensure peak load power supply.
3. The optimal operation method of the power grid comprising the wind, photovoltaic and water storage system of claim 1, wherein the generation method of the operation strategy of the wind, photovoltaic and water storage system in the dry season is as follows:
according to the load curve P in the week L Wind power output curve P in week WT The intra-cycle photovoltaic output curve P PV Forming an equivalent load curve P in the week EL ；
Equivalent load curve P in said week EL A part less than zero is used for charging the battery energy storage system, and when the required electric power exceeds the maximum charging power P c,max Then wind and light abandoning operation is carried out;
equivalent load curve P in said week EL The part larger than zero is used for judging the power P generated by the hydroelectric operation HP Maximum discharge power P of battery energy storage system d,max And if the sum is larger than the daily average equivalent load of the corresponding time, generating the operation strategy of the wind-solar-water storage system in the dry season according to the judgment result.
4. The optimal operation method of the power grid comprising the wind, photovoltaic and water storage system of claim 3, wherein the wind, photovoltaic and water storage system operation strategy in the dry season is as follows:
if the hydropower operates to generate power P HP Maximum discharge power P of battery energy storage system d,max If the sum is larger than the daily average equivalent load of the corresponding time, the battery energy storage system presses (P) EL -P HP ) Discharging;
if the hydropower operates to generate power P HP Maximum discharge power P of battery energy storage system d,max And if the sum is less than the daily average equivalent load of the corresponding time, the load shedding operation of the wind, light and water storage system is required.
5. A method for optimising the operation of a wind, photovoltaic and water storage containing power network according to claim 3 wherein the intra-cycle equivalent load curve P EL The calculation formula of (2) is as follows:
wherein the content of the first and second substances,
is the equivalent load at time t; />
Is the load within the week at time t; />
Is the wind-electricity output at the moment t within the week; />
Is the intra-cycle photovoltaic output at time t; α is a correction coefficient representing the recognition degree of the prediction result by the dispatcher.
6. The optimal operation method of the power grid containing the wind, light and water storage system as claimed in any one of claims 1 to 5, wherein the optimal operation model of the wind, light and water storage system is as follows:
wherein f is an objective function, minf represents the minimum value of the required objective function, namely the optimal operation scheme of the wind, light and water storage system; t is an operation scheduling period, and the optimized scheduling is carried out by taking hours as a unit; q t Is the water consumption flow at time t; q P Predicted scheduled water usage for the month; k is a penalty factor; p is t shedding Is the load shedding at time t;
the load in the week at time t.
7. The optimal operation method of the power grid containing the wind, light and water storage system as claimed in claim 6, wherein the limiting conditions of the optimal operation model of the wind, light and water storage system are as follows:
the power balance constraint conditions are as follows:
wherein, P t EL 、P t HP And P t BESS Equivalent load, hydroelectric power output and energy storage charging and discharging are respectively carried out at the time of t; p t shedding Is the load shedding at time t; p is t shedding Is the cut load for time period t; n is a radical of HP Is the number of hydroelectric power; n is a radical of BESS Is the amount of energy stored in the tank,
abandoning wind and abandoning optical power;
the water balance constraint conditions are as follows:
V t ＝V t-1 +I t-1 Δt-Q t-1 Δt
wherein, I t-1 Is the warehousing traffic at time t-1; v t-1 Is the storage capacity at time t-1; v t Is the storage capacity at time t; q t-1 Is the water consumption flow at time t-1;
the constraint conditions of the charge and discharge power of the battery energy storage system are as follows:
wherein, P BESS Is energy storage charging and discharging, P c,max Is the maximum charging power, P c,min Is the minimum charging power, P d,min Is the minimum discharge power, P d,max Is the maximum discharge power;
the capacity constraint conditions of the battery energy storage system are as follows:
E BESS,min ≤E BESS ≤E BESS,max
wherein, E BESS Is the capacity of the battery energy storage system, E BESS,min Is the minimum capacity of the battery energy storage system; e BESS,max Is the maximum capacity of the battery energy storage system.
8. The method for optimizing the operation of a power grid containing wind, light and water storage of claim 7, wherein the calculation formula of the capacity of the battery energy storage system is as follows:
wherein the content of the first and second substances,
is the capacity of the battery energy storage system at time t, σ is the self-discharge ratio of the battery energy storage system, and->
Is the charge-discharge power at time t, and η is the charge-discharge efficiency.
9. A power grid optimized operation system containing wind, light and water storage is characterized by comprising:
the complementary characteristic analysis module is used for analyzing complementary characteristics of the wind, light and water storage system according to seasonal characteristics;
the operation strategy making module is used for making the operation strategy of the wind-solar-water storage system in the dry season according to the complementary characteristics of the wind-solar-water storage system;
the model establishing module is used for establishing an optimal operation model of the wind-solar-water storage system according to the operation strategy of the wind-solar-water storage system in the dry season and by combining the actual operation characteristics of the hydropower station;
and the optimization operation module is used for optimizing the operation process of the power grid containing the wind, light and water storage according to the wind, light and water storage system optimization operation model.
10. A computer-readable storage medium, having a computer program stored thereon, the computer program being executable by a processor to implement the method for optimizing operation of a power grid including a wind, photovoltaic and water storage according to any one of claims 1 to 8.
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