CN109617141B - Wind power plant active output smooth control method and device - Google Patents
Wind power plant active output smooth control method and device Download PDFInfo
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Abstract
The embodiment of the invention provides a method and a device for smoothly controlling active output of a wind power plant, wherein the method comprises the following steps: predicting the output fluctuation trend of the wind power plant by using a wind power plant control model based on a Smith prediction algorithm; and determining and executing a corresponding energy storage system wind power smoothing strategy according to the output fluctuation trend of the wind power plant. According to the embodiment of the invention, Smith prediction is used for controlling the wind power plant according to the characteristic that the whole wind power plant control system presents large time lag, so that the stability of the whole output of a fan of the wind power plant can be ensured, meanwhile, statistical analysis is carried out according to historical control result data of the wind power plant, the energy storage system carries out advanced optimization adjustment and compensation according to the analysis result, the adjustment and control speed and accuracy are improved, the adjustment and control frequency and the adjustment and control amount of the energy storage device are reduced, and the win-win of a power grid and the wind power plant can be realized.
Description
Technical Field
The embodiment of the invention relates to the technical field of wind power generation, in particular to a method and a device for smoothly controlling active output of a wind power plant.
Background
Wind energy has become one of the main clean energy in the world, but wind power generation has the characteristics of intermittence, volatility, seasonal variation and the like, and the problems of power generation and load deviation of a power grid, unstable frequency and the like can be caused by large-scale centralized grid connection. Smoothing the output power of the wind power plant to reduce the problems caused by large-scale wind power integration has extremely important significance.
The energy storage system can make up for the natural unstable characteristic of new forms of energy, provides development space for the energy storage that can smooth electric power, improve the power quality. The essential body of the energy storage technology is that the safety of a power grid is guaranteed, the energy management of the whole system is realized, renewable energy sources are received, the configuration of equipment is optimized, and the efficiency of the whole grid is improved; compared with the traditional peak regulation, frequency modulation and rotary standby equipment, the energy storage system has outstanding advantages in the aspects of high speed, accurate responsiveness, high efficiency and the like. Under the background of high-speed development of new energy and energy storage, in order to improve the stability of the output of a new energy power station, the concept of coordinated control of a wind power plant and energy storage equipment appears.
The current regulation and control of the wind power plant takes pure PID regulation and control as a main control method. And simultaneously, the energy storage equipment adjusts the charging and discharging of the energy storage equipment according to the current output of the wind power plant. However, the current energy storage system can only passively compensate for disturbance in the overall output power of the wind power plant, and cannot achieve high synchronism with the output of the wind power plant, so that the suppression capability of the energy storage system on the disturbance is not fully embodied. Meanwhile, in the control theory, because the inertia link in the control process of the wind power plant is inevitable, the conventional PID control method of the large-time-lag system has certain defects, the electric field with abnormal partial adjusting parameters can cause the oscillation of the integral output of the electric field, and potential threats are caused to the safety of a power grid and the electric field.
Disclosure of Invention
Embodiments of the present invention provide a method and an apparatus for smooth control of active output of a wind farm, which overcome the above problems or at least partially solve the above problems.
In a first aspect, an embodiment of the present invention provides a method for smoothly controlling active output of a wind farm, including:
predicting the output fluctuation trend of the wind power plant by using a wind power plant control model based on a Smith prediction algorithm;
and determining and executing a corresponding energy storage system wind power smoothing strategy according to the output fluctuation trend of the wind power plant.
In a second aspect, an embodiment of the present invention provides a wind farm active output smoothing control device, including:
the prediction module is used for predicting the output fluctuation trend of the wind power plant by utilizing a wind power plant control model based on a Smith prediction algorithm;
and the execution module is used for determining and executing a corresponding energy storage system wind power smoothing strategy according to the output fluctuation trend of the wind power plant.
In a third aspect, an embodiment of the present invention provides an electronic device, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor implements the steps of the wind farm active output smoothing control method according to the first aspect when executing the program.
In a fourth aspect, an embodiment of the present invention provides a non-transitory computer readable storage medium, on which a computer program is stored, which when executed by a processor, implements the steps of the wind farm active output smoothing control method as provided in the first aspect.
According to the method and the device for controlling the active output smoothness of the wind power plant, Smith prediction is used for controlling the wind power plant according to the characteristic that the whole wind power plant control system presents large time lag, the stability of the whole output of a fan of the wind power plant can be guaranteed, meanwhile, statistical analysis is carried out according to historical control result data of the wind power plant, the energy storage system carries out optimization adjustment compensation in advance according to the analysis result, the adjustment and control frequency and the adjustment and control amount of the energy storage device are reduced while the adjustment and control speed and the adjustment and control precision are improved, and win-win of a power grid and the wind power plant can be achieved.
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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, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
FIG. 1 is a schematic flow chart of a method for controlling active output smoothing of a wind farm according to an embodiment of the present invention;
fig. 2 is a schematic diagram illustrating an implementation of a smoothing control strategy of an energy storage system according to an embodiment of the present invention;
FIG. 3 is a schematic structural diagram of a wind farm active output smoothing control device according to an embodiment of the present invention;
fig. 4 is a schematic physical structure diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, 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 some, but not all, embodiments of the present invention. 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.
Fig. 1 is a schematic flow chart of a method for controlling active output smoothing of a wind farm according to an embodiment of the present invention, as shown in the figure, the method includes:
in the daily operation process of the wind power plant, the power consumption of the power utilization side is continuously changed, so that the daily operation of the wind power plant is in a continuously adjusted transient process. In control theory, inertia links in the control process of the wind power plant inevitably exist, and for a large-time-lag system, a conventional PID control method has certain defects. The embodiment of the invention adopts a wind power plant control model based on a Smith prediction algorithm to realize the control of the active power output of the wind power plant. The wind power plant control model based on the Smith prediction algorithm is a PID prediction controller based on a Smith predictor.
And acquiring the output fluctuation trend of the wind power plant by performing statistical analysis on the historical control result data of the wind power plant control model based on the Smith prediction algorithm. The output at the next moment is predicted by using historical output data at the previous moments, and the output fluctuation trend of the wind power plant is further obtained.
And 101, determining and executing a corresponding energy storage system wind power smoothing strategy according to the output fluctuation trend of the wind power plant.
Because the fan regulation and control subsystem system and the energy storage regulation and control subsystem have great difference in regulation and control speed and precision, in order to quickly and accurately reach the steady state of the power station, the regulation and distribution strategies of the two subsystems need to be coordinated according to the output fluctuation trend of the wind power plant. Conventional power station energy storage systems are typically in a charging state, providing backup power when the wind farm system requires an emergency load increase. The energy storage device charges the energy storage device when it is not fully loaded. The method can meet the peak load shifting requirement of the power station, but the energy storage characteristic is not fully utilized.
In order to fully utilize the characteristic of energy storage, the embodiment of the invention formulates a corresponding wind power smoothing strategy of an energy storage system aiming at the output fluctuation trend of different wind power plants.
The basic flow of the smoothing wind power output of the energy storage system in the embodiment of the invention is as follows: according to the output fluctuation trend of the wind power plant, an initial power plan of the energy storage system is determined, the initial power plan is corrected through state feedback control, power distribution is finally carried out among energy storage devices in the energy storage system, and charging and discharging instructions of the energy storage devices are determined.
According to the method for controlling the active output smoothness of the wind power plant, Smith prediction is used for controlling the wind power plant according to the characteristic that the whole wind power plant control system presents large time lag, the stability of the whole output of a fan of the wind power plant can be guaranteed, meanwhile, statistical analysis is carried out according to historical control result data of the wind power plant, the energy storage system carries out optimization adjustment compensation in advance according to the analysis result, the adjustment and control speed and the adjustment and control precision are improved, the adjustment and control frequency and the adjustment and control quantity of the energy storage device are reduced, and win-win of a power grid and the wind power plant can be achieved.
Based on the content of the above embodiment, the step of determining and executing the corresponding energy storage system wind power smoothing strategy according to the output fluctuation trend of the wind farm specifically includes:
distributing energy storage devices in an energy storage system, enabling part of the energy storage devices in a full-load state and all the energy storage devices in an unloaded state to participate in transient regulation and control of a wind power plant, and enabling the rest of the energy storage devices in the full-load state to participate in peak load regulation and valley filling;
if the output fluctuation trend of the wind power plant is obtained that the wind power plant needs to be subjected to load increase, the active output of the wind turbine generator is improved, and the energy storage equipment which participates in transient regulation and control and is in a full-load state is enabled to improve the active output; alternatively, the first and second electrodes may be,
and if the load reduction of the wind power plant is acquired according to the output fluctuation trend of the wind power plant, and if the energy storage devices participating in peak load regulation and valley filling are judged and acquired to be in a full-load state and the energy storage devices participating in transient regulation and control and in the full-load state are determined to be in full load, the active output of the wind turbine generator is reduced, and the energy storage devices participating in transient regulation and control and in the no-load state are charged with stored energy.
In the embodiment of the invention, the energy storage devices in the energy storage system are distributed, so that most of the energy storage devices in the energy storage system are in a full-load state, and the rest of the energy storage devices in the energy storage system are in an idle-load state, wherein the partial full-load and all idle-load energy storage devices participate in transient regulation and control of the wind power plant, and are used for improving the output regulation speed and precision of the wind power plant. While the remaining fully loaded portion of the energy storage device waits for peak and valley shaving.
In one embodiment, the proportion of energy storage devices participating in transient regulation may be determined according to the actual needs of the wind farm.
In the adjusting process, the energy storage equipment participating in transient regulation and control is preferentially adjusted, namely, the active power of the fully loaded energy storage equipment in the energy storage equipment participating in transient regulation and control is preferentially released under the condition of load increase, and the fully loaded equipment for transient regulation and control is preferentially charged under the condition of load reduction on the premise that the energy storage equipment for peak load regulation and valley filling is fully loaded.
Specifically, if the output fluctuation trend of the wind power plant is used for knowing that the wind power plant needs to be subjected to load increase, the active output of the wind turbine generator is improved, and meanwhile, the energy storage equipment which participates in transient regulation and control and is in a full-load state is enabled to improve the active output.
If the load of the wind power plant needs to be reduced according to the output fluctuation trend of the wind power plant, and if the fact that all the energy storage devices participating in peak load regulation and valley filling are in a full-load state is judged and obtained and all the full-load energy storage devices participating in transient regulation and control are determined to be full-load is determined, the active output of the wind turbine generator is reduced, and the energy storage devices participating in transient regulation and control and in a no-load state are charged with stored energy; alternatively, the first and second electrodes may be,
if the fact that the load of the wind power plant needs to be reduced is obtained according to the output fluctuation trend of the wind power plant, and the fact that all energy storage devices participating in peak load regulation and valley filling are not in a full-load state is judged and obtained, the energy storage devices participating in peak load regulation and valley filling are enabled to carry out energy storage charging; alternatively, the first and second electrodes may be,
and if the fact that the load of the wind power plant needs to be reduced is obtained according to the output fluctuation trend of the wind power plant, and the fact that all the energy storage devices participating in peak load regulation and valley filling are in a full-load state is judged and obtained, and it is determined that all the full-load energy storage devices participating in transient regulation and control are not full-load, the full-load energy storage devices participating in transient regulation and control are enabled to store energy and charge.
Based on the content of each embodiment, after the step of selecting the corresponding energy storage system wind power smoothing strategy according to the output fluctuation trend of the wind farm, the method further includes:
and when the active output of the wind power plant reaches a steady state, performing active replacement on the energy storage equipment participating in transient regulation in the energy storage system in a mode of continuously fine-tuning the unit.
Specifically, when the active control system of the wind farm reaches a steady state, that is, the output active power in the station is equal to the distribution network demand active power, the power station needs to maintain the current output constant. Since the prior preferential adjustment of the energy storage device for increasing the power grid adjustment speed may cause that part of the energy storage device is not in the optimal control state between the energy storage device and the wind turbine generator set, the active power of the energy storage device needs to be replaced in a mode of continuously fine-tuning the generator set on the basis of ensuring the stability of the power grid, so that the energy storage device is in the optimal working state, and the response speed of the next transient adjustment is increased.
Fig. 2 is a schematic diagram illustrating an implementation of a smoothing control strategy of an energy storage system according to an embodiment of the present invention. Distributing energy storage devices in an energy storage system, enabling part of the energy storage devices in a full-load state and all the energy storage devices in an unloaded state to participate in transient regulation and control of a wind power plant, and enabling the rest of the energy storage devices in the full-load state to participate in peak load regulation and valley filling; if the output fluctuation trend of the wind power plant is obtained that the wind power plant needs to be subjected to load increase, the active output of the wind turbine generator is improved, and the energy storage equipment which participates in transient regulation and control and is in a full-load state is enabled to improve the active output; or if the load reduction of the wind power plant is acquired according to the output fluctuation trend of the wind power plant, and if the energy storage devices participating in peak load regulation and valley filling are judged and acquired to be in a full-load state and the energy storage devices participating in transient regulation and control and in the full-load state are determined to be fully loaded, the active output of the wind turbine generator is reduced, and the energy storage devices participating in transient regulation and control and in the no-load state are charged with stored energy; or if the output fluctuation trend of the wind power plant is obtained to indicate that the load of the wind power plant needs to be reduced, if the situation that all the energy storage devices participating in peak load regulation and valley filling are not in a full-load state is judged and obtained, the energy storage devices participating in peak load regulation and valley filling are charged; or if the fact that the load of the wind power plant needs to be reduced is obtained according to the output fluctuation trend of the wind power plant, and if the fact that all the energy storage devices participating in peak load regulation and valley filling are in the full-load state is judged and obtained, and it is determined that all the energy storage devices participating in transient regulation and control and in the full-load state are not fully loaded, the energy storage devices participating in transient regulation and control and in the full-load state are charged with stored energy. And when the active output of the wind power plant reaches a steady state, performing active replacement on the energy storage equipment participating in transient regulation in the energy storage system in a mode of continuously fine-tuning the unit.
Based on the content of each embodiment, before the step of predicting the output fluctuation trend of the wind farm by using the wind farm control model based on the Smith prediction algorithm, the method further comprises the following steps:
and constructing a wind power plant control model based on a Smith prediction algorithm.
Specifically, the PID controller time domain function is:
the transfer function of the PID controller obtained by the pull transform is:
the main control object of the wind power plant is an individual fan, the control object of the energy storage system is an individual energy storage element, and the state response functions of the individual fan and the individual energy storage element can be approximately regarded as step functions. The execution function is therefore:
in the formula, Gp(s)The transfer function of the controlled object in the state that the system has no time lag is adopted. τ is a system lag time parameter.
In order to eliminate the influence of system lag on a control system, the embodiment of the invention adopts a method of adding a Smith predictor to a PID controller, wherein the transfer function of the Smith predictor is as follows:
the transfer function after adding the Smith predictor is therefore:
and (5) carrying out formula (4) to obtain a controller time domain function by carrying out pull type inverse transformation.
As shown in fig. 3, a schematic structural diagram of a wind farm active output smoothing control device provided in an embodiment of the present invention includes: a prediction module 310 and an execution module 320, wherein,
the prediction module 310 is used for predicting the output fluctuation trend of the wind power plant by using a wind power plant control model based on a Smith prediction algorithm;
specifically, in the daily operation process of the wind power plant, the power consumption of the power utilization side is continuously changed, so that the daily operation of the wind power plant is in a continuously adjusted transient process. In control theory, inertia links in the control process of the wind power plant inevitably exist, and for a large-time-lag system, a conventional PID control method has certain defects. The prediction module 310 realizes control of active output of the wind farm by adopting a wind farm control model based on a Smith prediction algorithm. The wind power plant control model based on the Smith prediction algorithm is a PID prediction controller based on a Smith predictor.
The prediction module 310 obtains the output fluctuation trend of the wind power plant by performing statistical analysis on the historical control result data of the wind power plant control model based on the Smith prediction algorithm. The output at the next moment is predicted by using historical output data at the previous moments, and the output fluctuation trend of the wind power plant is further obtained.
And the execution module 320 is configured to determine and execute a corresponding energy storage system wind power smoothing strategy according to the output fluctuation trend of the wind farm.
Specifically, because the wind turbine regulation and control subsystem system and the energy storage regulation and control subsystem have great difference in regulation and control speed and precision, in order to achieve the stable state of the power station quickly and accurately, the execution module 320 needs to coordinate the regulation and distribution strategies of the two subsystems according to the output fluctuation trend of the wind power plant. Conventional power station energy storage systems are typically in a charging state, providing backup power when the wind farm system requires an emergency load increase. The energy storage device charges the energy storage device when it is not fully loaded. The method can meet the peak load shifting requirement of the power station, but the energy storage characteristic is not fully utilized.
In order to fully utilize the energy storage characteristic, in the embodiment of the present invention, the execution module 320 formulates a corresponding energy storage system wind power smoothing strategy according to the output fluctuation trend of different wind power plants.
The basic flow of the smoothing wind power output of the energy storage system in the embodiment of the invention is as follows: according to the output fluctuation trend of the wind power plant, an initial power plan of the energy storage system is determined, the initial power plan is corrected through state feedback control, power distribution is finally carried out among energy storage devices in the energy storage system, and charging and discharging instructions of the energy storage devices are determined.
According to the active output smooth control device for the wind power plant, Smith prediction is used for controlling the wind power plant according to the characteristic that the whole wind power plant control system presents large time lag, the stability of the whole output of a fan of the wind power plant can be guaranteed, meanwhile, statistical analysis is carried out according to historical control result data of the wind power plant, the energy storage system carries out optimization, adjustment and compensation in advance according to the analysis result, the adjustment and control speed and the adjustment and control precision are improved, the adjustment and control frequency and the adjustment and control quantity of the energy storage device are reduced, and win-win of a power grid and the wind power plant can be achieved.
Based on the content of the foregoing embodiment, the executing module 320 is specifically configured to:
distributing energy storage devices in an energy storage system, enabling part of the energy storage devices in a full-load state and all the energy storage devices in an unloaded state to participate in transient regulation and control of a wind power plant, and enabling the rest of the energy storage devices in the full-load state to participate in peak load regulation and valley filling;
if the output fluctuation trend of the wind power plant is obtained that the wind power plant needs to be subjected to load increase, the active output of the wind turbine generator is improved, and the energy storage equipment which participates in transient regulation and control and is in a full-load state is enabled to improve the active output; alternatively, the first and second electrodes may be,
and if the load reduction of the wind power plant is acquired according to the output fluctuation trend of the wind power plant, and if the energy storage devices participating in peak load regulation and valley filling are judged and acquired to be in a full-load state and the energy storage devices participating in transient regulation and control and in the full-load state are determined to be in full load, the active output of the wind turbine generator is reduced, and the energy storage devices participating in transient regulation and control and in the no-load state are charged with stored energy.
Specifically, the execution module 320 allocates the energy storage devices in the energy storage system, so that most of the energy storage devices in the energy storage system are in a full-load state, and a small part of the energy storage devices in an idle-load state, wherein the partial full-load and all idle-load energy storage devices participate in transient regulation and control of the wind farm, and are used for improving the output regulation speed and precision of the wind farm. While the remaining fully loaded portion of the energy storage device waits for peak and valley shaving. In the adjusting process, the executing module 320 preferentially adjusts the energy storage devices participating in the transient state regulation, that is, the active power of the fully loaded energy storage device in the energy storage devices participating in the transient state regulation is preferentially released in the case of load increase, and the fully loaded device for the transient state regulation is preferentially charged in the case of load reduction on the premise that the energy storage device for peak load regulation and valley filling is fully loaded.
Fig. 4 is a schematic entity structure diagram of an electronic device according to an embodiment of the present invention, and as shown in fig. 4, the electronic device may include: a processor (processor)410, a communication Interface 420, a memory (memory)430 and a communication bus 440, wherein the processor 410, the communication Interface 420 and the memory 430 are communicated with each other via the communication bus 440. The processor 410 may invoke a computer program stored on the memory 430 and operable on the processor 410 to execute the wind farm active output smoothing control method provided by the above embodiments, for example, including: predicting the output fluctuation trend of the wind power plant by using a wind power plant control model based on a Smith prediction algorithm; and determining and executing a corresponding energy storage system wind power smoothing strategy according to the output fluctuation trend of the wind power plant.
In addition, the logic instructions in the memory 430 may be implemented in the form of software functional units and stored in a computer readable storage medium when the software functional units are sold or used as independent products. Based on such understanding, the technical solutions of the embodiments of the present invention may be essentially implemented or make a contribution to the prior art, or may be implemented in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
An embodiment of the present invention further provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method for smooth control of active output of a wind farm provided in the foregoing embodiments, for example, including: predicting the output fluctuation trend of the wind power plant by using a wind power plant control model based on a Smith prediction algorithm; and determining and executing a corresponding energy storage system wind power smoothing strategy according to the output fluctuation trend of the wind power plant.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (8)
1. A wind power plant active output smooth control method is characterized by comprising the following steps:
predicting the output fluctuation trend of the wind power plant by using a wind power plant control model based on a Smith prediction algorithm;
determining and executing a corresponding energy storage system wind power smoothing strategy according to the output fluctuation trend of the wind power plant;
the method comprises the following steps of determining and executing a corresponding energy storage system wind power smoothing strategy according to the output fluctuation trend of the wind power plant, and specifically comprises the following steps:
distributing energy storage devices in an energy storage system, enabling part of the energy storage devices in a full-load state and all the energy storage devices in an unloaded state to participate in transient regulation and control of a wind power plant, and enabling the rest of the energy storage devices in the full-load state to participate in peak load regulation and valley filling;
if the output fluctuation trend of the wind power plant is obtained that the wind power plant needs to be subjected to load increase, the active output of the wind turbine generator is improved, and the energy storage equipment which participates in transient regulation and control and is in a full-load state is enabled to improve the active output; alternatively, the first and second electrodes may be,
and if the load reduction of the wind power plant is acquired according to the output fluctuation trend of the wind power plant, and if the energy storage devices participating in peak load regulation and valley filling are judged and acquired to be in a full-load state and the energy storage devices participating in transient regulation and control and in the full-load state are determined to be in full load, the active output of the wind turbine generator is reduced, and the energy storage devices participating in transient regulation and control and in the no-load state are charged with stored energy.
2. The method according to claim 1, wherein after the step of obtaining the load reduction requirement of the wind farm according to the output fluctuation trend of the wind farm, the method further comprises the following steps:
if the judgment shows that the energy storage devices participating in peak load regulation and valley filling are not all in the full-load state, the energy storage devices participating in peak load regulation and valley filling are charged with stored energy, or,
and if the judgment shows that all the energy storage devices participating in peak load regulation and valley filling are in a full-load state and the fact that all the energy storage devices participating in transient regulation and control and in the full-load state are not fully loaded is determined, the energy storage devices participating in transient regulation and control and in the full-load state are charged with energy.
3. The method according to claim 1, wherein the step of allocating the energy storage devices in the energy storage system comprises:
and determining the proportion of the energy storage equipment participating in transient regulation according to the actual needs of the wind power plant.
4. The method according to claim 1, wherein after the step of selecting the corresponding energy storage system wind power smoothing strategy according to the output fluctuation trend of the wind farm, the method further comprises:
and when the active output of the wind power plant reaches a steady state, performing active replacement on the energy storage equipment participating in transient regulation in the energy storage system in a mode of continuously fine-tuning the unit.
5. The method according to claim 1, wherein the step of predicting the output fluctuation trend of the wind farm by using the wind farm control model based on the Smith prediction algorithm is preceded by the steps of:
and constructing a wind power plant control model based on a Smith prediction algorithm.
6. A wind power plant active output smoothing control device is characterized by comprising:
the prediction module is used for predicting the output fluctuation trend of the wind power plant by utilizing a wind power plant control model based on a Smith prediction algorithm;
the execution module is used for determining and executing a corresponding energy storage system wind power smoothing strategy according to the output fluctuation trend of the wind power plant;
wherein the execution module is specifically configured to:
distributing energy storage devices in an energy storage system, enabling part of the energy storage devices in a full-load state and all the energy storage devices in an unloaded state to participate in transient regulation and control of a wind power plant, and enabling the rest of the energy storage devices in the full-load state to participate in peak load regulation and valley filling;
if the output fluctuation trend of the wind power plant is obtained that the wind power plant needs to be subjected to load increase, the active output of the wind turbine generator is improved, and the energy storage equipment which participates in transient regulation and control and is in a full-load state is enabled to improve the active output; alternatively, the first and second electrodes may be,
and if the load reduction of the wind power plant is acquired according to the output fluctuation trend of the wind power plant, and if the energy storage devices participating in peak load regulation and valley filling are judged and acquired to be in a full-load state and the energy storage devices participating in transient regulation and control and in the full-load state are determined to be in full load, the active output of the wind turbine generator is reduced, and the energy storage devices participating in transient regulation and control and in the no-load state are charged with stored energy.
7. An electronic device, comprising:
at least one processor; and
at least one memory communicatively coupled to the processor, wherein:
the memory stores program instructions executable by the processor, the processor invoking the program instructions to perform the method of any of claims 1 to 5.
8. A non-transitory computer-readable storage medium storing computer instructions that cause a computer to perform the method of any one of claims 1 to 5.
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