CN109347122B - Intelligent control method and system for participating in active power regulation of wind power plant sample board machine - Google Patents
Intelligent control method and system for participating in active power regulation of wind power plant sample board machine Download PDFInfo
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- CN109347122B CN109347122B CN201811390386.6A CN201811390386A CN109347122B CN 109347122 B CN109347122 B CN 109347122B CN 201811390386 A CN201811390386 A CN 201811390386A CN 109347122 B CN109347122 B CN 109347122B
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- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
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Abstract
The invention discloses an intelligent control method for a wind power plant sample board computer to participate in active power regulation and a control system thereof.A wind power plant energy management platform regulates and controls the output execution of a wind turbine generator by receiving a power grid dispatching instruction; setting a functional switch of the sample board machine participating in active power regulation on the energy management platform; when the function switch is in an open state, the energy management platform judges whether the sample board machine meets the condition of participating in active power regulation according to the change of the wind power plant; when the energy platform judges that the sample board computers meet participation conditions, the participation active power regulation state of each sample board computer is activated, so that the sample board computers start to participate in active power regulation; and in the process that the sample board computers participate in active power regulation, if the sample board computers are judged to meet the recovery non-adjustable condition, controlling all the sample board computers to recover to be in a state of not participating in active power regulation. By the control method, the wind power plant sample board machine can intelligently participate in active power regulation of the whole plant when necessary, and the wind power plant is prevented from being checked by a power grid when power regulation and limiting of the power grid occur.
Description
Technical Field
The invention relates to the field of auxiliary equipment of multiple wind generating sets in a wind power plant, in particular to an intelligent control method and a control system for a wind power plant sample board machine to participate in active power regulation.
Background
The national electricity prison publishes 'wind power plant abandoned wind power amount calculation method (trial)' (hereinafter referred to as 'method'), and it is clear that the wind power limited electric quantity calculation method generally adopts a board sampling method, namely when a dispatching mechanism requires the wind power plant to be limited, the 'board sampling' of the wind power plant is not limited, the generated energy is taken as the theoretical generated energy of the similar wind turbines, the actual generated energy of the similar wind turbines is subtracted, and then the calculation method of the wind power plant abandoned wind limited electric quantity is obtained by summarizing.
In addition, the 'method' stipulates that when the output of the wind power plant is limited, the wind power plant sample board machine does not participate in the limited adjustment of the load in principle, and the normal power generation state is always kept. When all fans including the sample board machine need to be stopped, the output of the fans of the wind field before the stop of the fans of the wind field can be used as the average electricity limiting power of the wind field during electricity limiting, and the electricity limiting quantity of the wind field is calculated. And the theoretical output of the wind field under the condition that the sampling board machine is shut down can be calculated through the wind speed data in the electricity-limiting period of the wind power plant, so that the calculation of the electricity-limiting electric quantity data is completed.
In combination with the actual operation of the existing wind power plant, in the three north area with serious power limit condition, when the wind power plant needs to limit the power greatly, the actual operation condition of a field sample board machine is not considered in scheduling, and the condition that the active regulation instruction value is smaller than the total active output of the sample board machine can occur. The existing wind power plant energy management platform does not always have the function of automatically canceling the active and unadjustable state of the sample board machine, when the active adjusting instruction value is smaller than the total active output of the sample board machine, the active power of the whole field cannot be continuously adjusted, so that the actual total active output of the wind power plant is larger than the dispatching instruction value, if a worker on duty in the wind power plant cannot manually cancel the sample board machine in time, the wind power plant is subjected to power grid check due to the fact that the electric quantity is overflowed after the wind power plant lasts for a period of time, and huge loss is brought to an owner.
At present, the research on wind power plant sample computers in China focuses on a selection method of the sample computers so as to realize accurate calculation of data such as abandoned wind power and the like, and the sample computers are controlled to participate in active power regulation of the wind power plant when necessary, and the method is realized simply through shutdown and is not beneficial to the smoothness of a full-field active power regulation curve and the service life of a unit.
Disclosure of Invention
The invention aims to provide an intelligent control method and a control system for participating in active power regulation of a wind power plant sample board machine.
In order to achieve the purpose, the invention adopts the following technical scheme:
on one hand, the invention provides an intelligent control method for a wind power plant sample board computer to participate in active power regulation, which comprises the following steps:
1) the wind power plant energy management platform regulates and controls the output execution of the wind turbine generator by receiving a power grid dispatching instruction;
2) setting a functional switch of the sample board machine participating in active power regulation on the energy management platform;
3) when the function switch is in an open state, the energy management platform judges whether the sample board machine meets the condition of participating in active power regulation according to the change of the wind power plant;
4) when the energy management platform judges that the sample board machine does not meet the participation condition, the sample board machine does not participate in active regulation;
when the energy platform judges that the sample board computers meet participation conditions, the participation active power regulation state of each sample board computer is activated, so that the sample board computers start to participate in active power regulation, and the energy management platform reasonably distributes the active power of the sample board computers according to the network regulation instruction to control the output of the sample board computers;
5) when the sample board machines participate in the active power regulation process, if the energy management platform judges that the sample board machines meet the recovery non-adjustable condition, the energy management platform controls all the sample board machines to recover to a state of not participating in the active power regulation, the execution of the active power regulation function participated by the sample board machines is completed once, and the energy management platform continues the judgment of the step 3).
Further, the condition that the sample board machine in the step 3) participates in active power regulation is as follows: when the energy management platform executes the network dispatching instruction of the power grid, and after the non-board computer is completely shut down due to power limitation, if the real total active power of the board computer is still higher than the active instruction value of the network dispatching and lasts for a period of time, the board computer is considered to meet participation conditions.
Further, the duration time in the step 3) is 5s, so that unnecessary actions caused by total active fluctuation generated by the sample board machine are avoided.
Further, the sample plate machine in the step 5) meets the recovery nonadjustable condition that: and when the active power regulation instruction value of the network dispatching is larger than the total capacity of the board sampling machine and lasts for a period of time, the board sampling machine is considered to meet the condition of recovery and non-adjustability.
Further, the duration of the step 5) is 30s, so that frequent change of the real power adjustment state of the board sampling machine caused by frequent change of the real power adjustment instruction of the network call near the critical value is avoided.
Further, in the step 4), the energy management platform dynamically allocates an active set value of each board sampling machine according to the state of the board sampling machine, and controls the active output of the board sampling machine so as to meet the requirement that the full-field active output follows a network dispatching instruction.
Further, in the step 4), when the sample board computer is required to be stopped according to the network debugging instruction, the energy management platform reasonably sends a sample board computer stopping instruction according to the network debugging instruction value and the unit state of the sample board computer; and when the network dispatching command is released, the energy management platform preferentially starts the sample board machine to generate power.
Further, after the network dispatching instruction is released, the energy management platform starts the sample board machine to achieve power generation capacity, and if the network dispatching instruction still has a gap and has power generation conditions, the energy management platform starts the non-sample board machine and continues to follow the network dispatching instruction.
Furthermore, the energy management platform is connected with the power grid dispatching AGC master station through a telecontrol communication device.
Further, the energy management platform collects data information of all the wind turbines and uploads the data information to the power grid for dispatching.
On the other hand, the intelligent control system for the active regulation participation of the wind power plant comprises an energy management platform, and a computer program for realizing the steps of the intelligent control method for the active regulation participation of the wind power plant sample board machine is arranged in the energy management platform.
Due to the adoption of the technical scheme, the invention at least has the following advantages:
by the control method, the wind power plant sample board computer can intelligently participate in the active power regulation of the whole field when necessary, and the condition that the output of the wind power plant cannot follow the grid regulation active instruction value possibly caused by the sample board computer not participating in the active power regulation by default when the grid regulation limit power occurs is avoided, so that the wind power plant is examined by a power grid and the benefit of an owner is damaged. Meanwhile, the control method can reduce frequent changes of the active power regulation state of the sample board machine as much as possible on the premise of meeting the regulation requirement, ensure the long-term accuracy of the relevant data of the sample board machine, and ensure the continuity and smoothness of the whole active power regulation curve and the efficient and stable operation of the whole set of wind power plant energy management platform.
Drawings
The foregoing is only an overview of the technical solutions of the present invention, and in order to make the technical solutions of the present invention more clearly understood, the present invention is further described in detail below with reference to the accompanying drawings and the detailed description.
Fig. 1 is a schematic diagram of an embodiment of an intelligent control method for participating in active regulation of a wind farm sample board machine according to the invention.
Detailed Description
Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It will be understood by those skilled in the art that, unless otherwise defined, all terms (including 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 will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the prior art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
The invention provides an embodiment of an intelligent control method for a wind power plant sample board computer to participate in active power regulation, which comprises the following steps as shown in figure 1:
1) the wind power plant energy management platform regulates and controls the output execution of the wind turbine generator by receiving a power grid dispatching instruction;
2) setting a functional switch of the sample board machine participating in active power regulation on the energy management platform;
3) when the function switch is in an open state, the energy management platform judges whether the sample board machine meets the condition of participating in active power regulation according to the change of the wind power plant;
4) when the energy management platform judges that the sample board machine does not meet the participation condition, the sample board machine does not participate in active regulation;
when the energy platform judges that the sample board computers meet participation conditions, the participation active power regulation state of each sample board computer is activated, so that the sample board computers start to participate in active power regulation, and the energy management platform reasonably distributes the active power of the sample board computers according to the network regulation instruction to control the output of the sample board computers;
5) when the sample board machine participates in the active power regulation process, if the energy management platform judges that the sample board machine meets the recovery non-adjustable condition, the energy management platform controls all the sample board machines to recover to a state not participating in the active power regulation, and the execution of the active power regulation function participated by the sample board machine is completed once. The energy management platform then continues with the determination of step 3).
According to the invention, the active power regulation function of the sample board machine is added on the basis of the existing wind power plant energy management platform, and when the sample board machine meets the participation condition, the participation active regulation states of all the sample board machines are opened, namely the sample board machines can participate in the whole-field active power regulation, so that the power limiting target of network regulation can be realized, and meanwhile, the continuous smoothness of an active regulation curve is ensured; when the recovery conditions are met, the active power regulation participation states of all the sample boards are closed, the sample boards are recovered to be in an active power non-regulation state, the whole-field unit is recovered to be in a state before the sample boards participate in regulation, and the accuracy of the active power of the sample boards and the stable operation of the wind field energy platform are guaranteed.
Further, the condition that the sample board machine in the step 3) participates in active power regulation is as follows: when the energy management platform executes a grid regulation instruction of a power grid, after a non-board computer is completely shut down due to power limitation, only the board computer is left to be connected to the grid for power generation, if the actual total active power of the board computer is still higher than the active instruction value of the grid regulation at the moment and lasts for a period of time (the duration time is generally 5s), misoperation can be avoided or the state of the board computer is frequently changed after the board computer lasts for a period of time, the board computer is considered to meet participation conditions, the energy management platform opens all the board computers to participate in the active regulation state, and all the board computers can participate in the full active regulation.
The sample board machine participates in the active power regulation state, namely a state bit for judging whether a sample board machine wind turbine generator participates in the full active power regulation or not in the energy management platform, and when the sample board machine wind turbine generator is started, the sample board machine wind turbine generator can participate in the active power regulation of the wind power plant, and a single active set value calculated and issued by the energy management platform is executed; when the power station is closed, the sample board machine set does not participate in active regulation of the wind power station, and the single machine active regulation quantity is distributed by the energy platform without considering the single machine active regulation quantity, namely the single machines always run according to actual power generation capacity.
Further, the sample plate machine in the step 5) meets the recovery nonadjustable condition that: and when the active power regulation instruction value of the network dispatching is larger than the total capacity of the board sampling machine and lasts for a period of time (the duration time is generally 30s), the board sampling machine is considered to meet the condition of recovering the non-adjustability. The total capacity of the sample board machines is the product of the number of the sample board machines and the rated power of the machine set. The purpose that sets up this way is in order to guarantee the continuation and the smoothness of whole active power regulation curve, prevents to lead to the sample board machine to switch frequently and participate in the active power regulation state because the change of net transfer active power set value, influences whole active power's regulating effect.
Further, in the step 4), the energy management platform dynamically allocates the active set value of each sample board machine according to the state of the sample board machine, and controls the active output of the sample board machine so as to meet the requirement that the full-field active output follows a network dispatching instruction.
Further, in the step 4), when the sample board machine is required to be stopped according to the network debugging instruction, the energy management platform reasonably sends a sample board machine stopping instruction according to the network debugging instruction value and the unit state of the sample board machine; and when the network dispatching command is released, the energy management platform preferentially starts the sample board machine to generate power.
Further, after the network dispatching instruction is released, the energy management platform starts the sample board machine to achieve power generation capacity, and if the network dispatching instruction still has a gap and has power generation conditions, the energy management platform starts the sample board machine and continues to follow the network dispatching instruction.
Further, the energy management platform is connected with the power grid dispatching AGC master station through a telecontrol communication device.
Further, the energy management platform collects data information of all the wind turbines and uploads the data information to the power grid for dispatching.
The specific implementation mode of the invention can be as follows:
1) the sample board machine participates in an active adjusting function and is based on a wind power plant energy management platform system, the system is connected with a power grid dispatching AGC master station through a telecontrol communication device, a dispatching instruction is received, the output of a control unit is used for executing the dispatching instruction, data collection of all wind power units is completed, the data are uploaded to a power grid for dispatching, and the operation condition of the wind power plant is guaranteed to be mastered in dispatching.
2) The energy platform can control active power and reactive power output of a wind power plant according to a power grid dispatching instruction, and after the sampling board machine participates in active power regulation function switches and is turned on, if the conditions that the sampling board machine participates in active power regulation are met, the participation active power regulation state of each sampling board machine can be activated, and the sampling board machine starts to participate in active power regulation.
The conditions of the sample board machine participating in active power regulation are specifically as follows: the energy platform executes a grid regulation instruction of a power grid, after all the non-board sample machines are shut down due to power limitation, the board sample machines are not involved in active regulation by default, only the board sample machines are left to be connected to the grid for power generation, if the actual total active power of the board sample machines is still higher than the active instruction value of the grid regulation at the moment, after the situation lasts for 5s (false operation is avoided or the states of the board sample machines are frequently changed), all the board sample machines are opened to participate in the active regulation state, and all the board sample machines can participate in the full active regulation.
The sample board computer participates in the active power regulation state, namely a state bit for judging whether the wind turbine generator participates in the full active power regulation or not in the energy platform, and when the sample board computer is started, the sample board computer indicates that the wind turbine generator can participate in the active power regulation of the wind power plant, and executes a single active power set value calculated and issued by the energy platform; when the power station is closed, the units do not participate in active regulation of the wind power plant, and the units are not considered when the energy platform distributes single active regulation quantity, namely the units always run according to actual power generation capacity.
3) When the sample board machines meet the conditions of participating in active power regulation, the energy platform dynamically distributes the active power set value of each sample board machine according to the state of the sample board machines and controls the active power output of the sample board machines so as to meet the requirement that the full-field active power output follows a network regulation instruction.
4) Further, if the network dispatching instruction requires the sample board machine to be shut down, the energy management platform also has the capability of starting and stopping the sample board machine, and can reasonably issue a shutdown instruction according to the network dispatching instruction value and the unit state of the sample board machine so as to execute the network dispatching active power regulation instruction.
After the network dispatching command is released, the energy management platform can start the sample board computers preferentially, preferentially ensures that all the sample board computers are started and reach the power generation capacity (the maximum power generation power under the actual wind speed), and starts the non-sample board computers to continue following the network dispatching command if the network dispatching command has a gap and has the power generation condition.
5) And after the condition that the sample board computer is restored to be nonadjustable in active power is met, all the sample board computers are restored to be in a default state without participating in active power regulation, and the sample board computers participate in the execution of the active power regulation function once. The sample board machine has reached the maximum power generation capacity, so that fluctuation of an active power regulation curve caused by the change of the state of the sample board machine is avoided, continuity and stability of active power regulation can be guaranteed, and a network regulation active power regulation instruction can be accurately executed.
The recovery conditions are specifically as follows: and when the active power regulation instruction value of the network regulation is larger than the total capacity of the sample board machines (the number of the sample board machines is multiplied by the rated power of the unit) and lasts for 30s (misoperation is avoided or the state of the sample board machines is frequently changed), the sample board machines are considered to meet the recovery non-adjustable condition. The purpose that sets up this way is in order to guarantee the continuation and the smoothness of whole active power regulation curve, prevents to lead to the sample board machine to switch frequently and participate in the active power regulation state because the change of net transfer active power set value, influences whole active power's regulating effect.
In another aspect, an intelligent control system for active regulation participation of a wind power plant is provided, and comprises an energy management platform, wherein a computer program for realizing the steps of the intelligent control method for active regulation participation of a wind power plant sample board machine is arranged in the energy management platform.
By the control method, the sample board machine of the wind power plant can intelligently participate in the active power regulation of the whole plant when necessary, and the condition that the output of the wind power plant cannot follow the grid regulation active instruction value possibly caused by the fact that the sample board machine does not participate in the active power regulation by default is avoided, so that the wind power plant is examined by a power grid, and the benefit of an owner is damaged.
In the prior art, when the power of a sample board machine is required to be adjusted to meet the requirement of network power regulation and limiting, a shutdown mode is directly adopted instead of adjusting output, so that the method is too simple and violent. Compared with the prior art, the control method can intelligently control the sample board machine set to participate in active regulation instead of direct shutdown when the sample board machine is required to regulate power, can ensure the smoothness of a full-field active power regulation curve, and avoids the damage to the service life of the machine set due to frequent startup and shutdown.
The invention provides an intelligent control method for a wind power plant sample board machine to participate in active regulation, aiming at the problem that the wind power plant cannot track a grid regulation instruction value under the condition of extreme power limitation caused by the fact that the sample board machine cannot participate in active regulation of the wind power plant. Based on a wind power plant energy management platform, a function of sample board computers participating in active power regulation is added, proper sample board computers participating in full active power regulation conditions are set by distinguishing the sample board computers and non-sample board computers, and the sample board computers participate in full active power regulation intelligently when necessary; when the recovery condition is reached, the sample board machine is automatically recovered without participating in active regulation. The method and the device can avoid the condition that the output of the wind power plant cannot follow the net dispatching active instruction value due to the fact that the active power of the sampling board machine cannot be regulated when the net dispatching limit power occurs. Meanwhile, on the premise of meeting the regulation requirement, frequent changes of the sample board machine participating in the active regulation state can be reduced as much as possible, the long-term accuracy of relevant data of the sample board machine is ensured, and the continuous and smooth active power regulation curve of the whole field and the efficient and stable operation of the whole set of wind power plant energy management platform are ensured.
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.
Furthermore, those skilled in the art will appreciate that while some embodiments herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.
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 (10)
1. An intelligent control method for a wind power plant sample board computer to participate in active power regulation is characterized by comprising the following steps:
1) the wind power plant energy management platform regulates and controls the output execution of the wind turbine generator by receiving a power grid dispatching instruction;
2) setting a functional switch of the sample board machine participating in active power regulation on the energy management platform;
3) when the function switch is in an open state, the energy management platform judges whether the sample board machine meets the condition of participating in active power regulation according to the change of the wind power plant;
4) when the energy management platform judges that the sample board machine does not meet the participation condition, the sample board machine does not participate in active regulation;
when the energy platform judges that the sample board computers meet participation conditions, the participation active power regulation state of each sample board computer is activated, so that the sample board computers start to participate in active power regulation, and the energy management platform reasonably distributes the active power of the sample board computers according to the network regulation instruction to control the output of the sample board computers;
5) when the sample board machines participate in the active power regulation process, if the energy management platform judges that the sample board machines meet the recovery non-adjustable condition, the energy management platform controls all the sample board machines to recover to a state of not participating in the active power regulation, the execution of the active power regulation function participated by the sample board machines is completed once, and the energy management platform continues the judgment of the step 3).
2. The intelligent control method for the active power regulation participation of the wind power plant board sampling machine according to claim 1, wherein the condition that the board sampling machine participates in the active power regulation in the step 3) is as follows: when the energy management platform executes the network dispatching instruction of the power grid, and after the non-board computer is completely shut down due to power limitation, if the real total active power of the board computer is still higher than the active instruction value of the network dispatching and lasts for a period of time, the board computer is considered to meet participation conditions.
3. An intelligent control method for participation in active power regulation of a wind farm board computer according to claim 2, characterized in that the duration of the step 3) is 5 s.
4. An intelligent control method for a wind power plant sample board computer to participate in active power regulation according to any one of claims 1 to 3, wherein the sample board computer in the step 5) meets the condition that recovery is not adjustable: and when the active power regulation instruction value of the network dispatching is larger than the total capacity of the board sampling machine and lasts for a period of time, the board sampling machine is considered to meet the condition of recovery and non-adjustability.
5. An intelligent control method for participation in active power regulation of a wind farm board computer according to claim 4, characterized in that the duration of the step 5) is 30 s.
6. The intelligent control method for the active power regulation participation of the wind power plant board sampling machines according to any one of claims 1 to 3, characterized in that in the step 4), the energy management platform dynamically allocates the active power set value of each board sampling machine according to the state of the board sampling machine, and controls the active power output of the board sampling machine so as to meet the requirement that the full-field active power output follows the grid regulation instruction.
7. The intelligent control method for the active power regulation participation of the wind power plant board sampling machine according to claim 6, wherein in the step 4), when the board sampling machine needs to be stopped according to the grid regulation instruction, the energy management platform reasonably issues a board sampling machine stop instruction according to the grid regulation instruction value and the unit state of the board sampling machine; and when the network dispatching command is released, the energy management platform preferentially starts the sample board machine to generate power.
8. The intelligent control method for the active power regulation participation of the wind power plant board sampling machine according to claim 7, characterized in that after the grid regulation command is released, the energy management platform starts the board sampling machine to achieve the power generation capability, and if the grid regulation command has a gap and has the power generation condition, the energy management platform starts the board sampling machine and continues to follow the grid regulation command.
9. An intelligent control method for participation in active power regulation of a wind power plant sample board machine according to any one of claims 1 to 3, characterized in that the energy management platform is connected with a power grid dispatching AGC master station through a telecontrol communication device; the energy management platform collects data information of all wind turbines and uploads the data information to the power grid for dispatching.
10. An intelligent control system for participating in active regulation of a wind farm is characterized by comprising an energy management platform, wherein a computer program for implementing the steps of the intelligent control method for participating in active regulation of a wind farm sample board machine of any one of claims 1 to 9 is included in the energy management platform.
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