CN113988355A - Wind-solar energy storage joint debugging joint transportation optimization control method and device for virtual power plant for sharing energy storage - Google Patents
Wind-solar energy storage joint debugging joint transportation optimization control method and device for virtual power plant for sharing energy storage Download PDFInfo
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Abstract
The application provides a wind-solar energy storage and dispatching combined transportation optimization control method, a wind-solar energy storage and dispatching combined transportation optimization control device and a storage medium for a virtual power plant for shared energy storage, provides a wind-solar energy storage and dispatching combined transportation technology which meets safety dispatching constraints and gives consideration to economic benefit maximization and operation risk controllability under a shared energy storage environment, a virtual power plant firstly receives a day-ahead power generation plan sent by a cloud platform and a real-time dispatching instruction sent by a power grid dispatching center, and power generation optimization control for each new energy power station and charge-discharge optimization control for the energy storage power stations are realized according to operation data and power generation prediction information of the wind-solar energy storage power plant under the virtual power plant, so that collaborative optimization control between the new energy power station and the shared energy storage power station under the virtual power plant is realized. Therefore, the method provided by the disclosure ensures the energy storage charging and discharging times and improves the resource utilization rate of the new energy power station and the energy storage power station.
Description
Technical Field
The application relates to the technical field of new energy power generation, in particular to an optimal control method, device and storage medium for wind-solar energy storage combined dispatching combined transportation of a virtual power plant facing shared energy storage.
Background
The development and utilization of new energy can effectively cope with energy crisis and environmental problems, and therefore rapid development is achieved in recent years. However, new energy represented by wind power and photovoltaic has the characteristics of volatility and intermittency, and the large-scale grid connection brings stability and reliability challenges to a power system. Therefore, in order to alleviate the fluctuation of new energy and satisfy power balance, energy storage power stations are widely used at present.
However, in the related art, the power supply side energy storage power station is only operated in combination with a single new energy station, so that the application cost of the energy storage equipment is high. Meanwhile, due to the fact that the station is unstable in electricity abandon and the energy storage charge and discharge amount is not saturated, the daily average charge and discharge frequency of the energy storage power station is limited, resources cannot be fully called, and the energy storage life cycle is low.
Disclosure of Invention
The application provides an optimal control method, device and storage medium for wind-solar energy storage combined dispatching combined transportation of a virtual power plant for sharing stored energy, and aims to at least solve the technical problems in the related technology.
An embodiment of a first aspect of the present application provides an optimal control method for wind, photovoltaic and energy storage joint debugging joint transportation of a virtual power plant oriented to shared energy storage, wherein the virtual power plant includes a plurality of new energy power stations and a single or a plurality of energy storage power stations, and the method includes the following steps:
receiving a day-ahead power generation plan sent by a cloud platform and a scheduling instruction sent by a power grid scheduling center;
performing power generation optimization control on each new energy power station and performing charge-discharge optimization control on the energy storage power station by combining operation data and power generation prediction information of the new energy power station and the energy storage power station under the virtual power plant, so as to realize cooperative optimization control of the new energy power station and the energy storage power station under the virtual power plant;
the optimization control comprises comprehensive optimization control of wind-solar energy storage primary frequency modulation, secondary frequency modulation and peak modulation and wind-solar energy storage optimization control considering energy storage full life cycle cost under the market environment.
An embodiment of a second aspect of the present application provides a wind-solar energy storage and dispatching combined transportation optimization control device for a virtual power plant with shared energy storage, wherein the virtual power plant includes a plurality of new energy power stations and a single or a plurality of energy storage power stations, and the device includes:
the receiving module is used for receiving a day-ahead power generation plan sent by the cloud platform and a scheduling instruction sent by the power grid scheduling center;
the control module is used for performing power generation optimization control on each new energy power station and performing charge-discharge optimization control on the energy storage power station by combining operation data and power generation prediction information of the new energy power station and the energy storage power station under the virtual power plant so as to realize cooperative optimization control of the new energy power station and the energy storage power station under the virtual power plant;
the optimization control comprises comprehensive optimization control of wind-solar energy storage primary frequency modulation, secondary frequency modulation and peak modulation and wind-solar energy storage optimization control considering energy storage full life cycle cost under the market environment.
A computer storage medium provided in an embodiment of the third aspect of the present application, where the computer storage medium stores computer-executable instructions; the computer executable instructions, when executed by a processor, are capable of performing the method of the first aspect as described above.
The technical scheme provided by the embodiment of the application at least has the following beneficial effects:
the invention provides a wind-solar energy and power-storage joint debugging technology which meets safety scheduling constraints and gives consideration to economic benefit maximization and operation risk controllability under a shared energy storage environment, a virtual power plant firstly receives a day-ahead power generation plan sent by a cloud platform and a real-time scheduling instruction sent by a power grid scheduling center, and power generation optimal control for each new energy power station and charge-discharge optimal control for the energy storage power stations are realized according to operation data and power generation prediction information of the wind-solar energy and power storage power plants under the virtual power plant, so that collaborative optimal control between the new energy power stations and the shared energy storage power stations under the virtual power plant is realized. Therefore, the method provided by the disclosure ensures the energy storage charging and discharging times and improves the resource utilization rate of the new energy power station and the energy storage power station.
Additional aspects and advantages of the present application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the present application.
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The foregoing and/or additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a schematic flow chart of an optimization control method for wind-solar-energy-storage joint debugging joint transportation for a virtual power plant with shared energy storage provided in an embodiment of the present application;
FIG. 2 is a schematic flow chart of an optimization control method for wind-solar-energy-storage combined dispatching combined transportation for a virtual power plant with shared energy storage provided according to another embodiment of the application;
fig. 3 is a schematic structural diagram of an optimization control device for wind-solar-energy-storage combined dispatching combined transportation for a virtual power plant sharing energy storage provided in an embodiment of the application.
Detailed Description
Reference will now be made in detail to embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are exemplary and intended to be used for explaining the present application and should not be construed as limiting the present application.
The application provides a wind-solar energy storage and dispatching combined transportation technology which meets safety dispatching constraint and gives consideration to economic benefit maximization and operation risk controllability under a shared energy storage environment, a virtual power plant firstly receives a day-ahead power generation plan sent by a cloud platform and a real-time dispatching instruction sent by a power grid dispatching center, and power generation optimal control for each new energy power station and charge-discharge optimal control for the energy storage power stations are realized according to operation data and power generation prediction information of the wind-solar energy storage power plant under the virtual power plant, so that collaborative optimal control between the new energy power station and the shared energy storage power station under the virtual power plant is realized. Therefore, the method provided by the disclosure ensures the energy storage charging and discharging times and improves the resource utilization rate of the new energy power station and the energy storage power station.
The following describes an optimal control method and device for wind-solar-energy-storage joint debugging joint movement of a virtual power plant facing shared energy storage according to an embodiment of the present application with reference to the accompanying drawings.
Example one
Fig. 1 is a schematic flow chart of an optimization control method for wind-solar-energy-storage combined dispatching combined transportation for a virtual power plant with shared energy storage provided in an embodiment of the present application, as shown in fig. 1, the method includes the following steps:
step 101, receiving a day-ahead power generation plan sent by a cloud platform and a scheduling instruction sent by a power grid scheduling center.
In the disclosed embodiment, the scheduling instruction sent by the grid scheduling center may include a day-ahead power generation plan and a real-time scheduling instruction.
102, combining the operation data and the power generation prediction information of the new energy power station and the energy storage power station under the virtual power plant, performing power generation optimization control on each new energy power station and performing charge and discharge optimization control on the energy storage power station, so as to realize cooperative optimization control of the new energy power station and the energy storage power station under the virtual power plant.
In the embodiment of the disclosure, the optimization control includes comprehensive optimization control of wind-solar energy storage primary frequency modulation, secondary frequency modulation and peak shaving and wind-solar energy storage optimization control considering energy storage full life cycle cost under the market environment.
And, in embodiments of the present disclosure, the scheduling instruction may include a planned power. When the scheduling instruction includes the planned power, the method for performing power generation optimization control on each new energy power station and performing charge-discharge optimization control on the energy storage power station by combining the operation data and the power generation prediction information of the new energy power station and the energy storage power station under the virtual power plant may include the following steps:
step S1, generating a power generation control instruction for each new energy power station and a charge and discharge control instruction for the energy storage power station according to a day-ahead power generation plan and real-time scheduling instruction, the total actual power and the power generation predicted power of the new energy power station under the virtual power plant, and the capacity, the charge and discharge capacity and the charge state window limit value of the energy storage power station;
and S2, issuing the power generation control instruction to a new energy power station under the virtual power plant, and issuing the charging and discharging control instruction to the energy storage power station side control module to adjust the power generation amount of the new energy power station and the charging and discharging working mode of the energy storage power station.
And, in an embodiment of the present disclosure, the method specifically includes the following steps:
step 1, calculating a power difference according to the planned power and the total actual power of the virtual power plant, and calculating the charge quantity of the controllable energy storage power station according to the capacity of the energy storage power station and the limit value of the charge state window.
And 2, if the power difference is larger than 0, controlling an energy storage battery of the energy storage power station to enter a charging mode when the power difference is larger than the charge quantity of the controllable energy storage power station, stopping charging the energy storage battery when the charge quantity reaches the limit value of a charge state window, and correcting the planned power.
And 3, controlling an energy storage battery of the energy storage power station to enter a charging mode when the power difference is smaller than the charge quantity of the controllable energy storage power station.
And 4, if the power difference is smaller than 0, controlling the energy storage battery of the energy storage power station to enter a discharging mode when the power difference is smaller than the charge quantity of the controllable energy storage power station.
And 5, when the power difference is larger than the charge quantity of the controllable energy storage power station, controlling an energy storage battery of the energy storage power station to enter a discharge mode, stopping discharging the energy storage battery when the charge quantity of the energy storage battery reaches the limit value of a charge state window, and correcting the planned power.
And, in another embodiment of the present disclosure, the scheduling instruction may further include a grid-connected power target value. When the scheduling instruction includes a grid-connected power target value, the method for performing power generation optimization control on each new energy power station and performing charge-discharge optimization control on the energy storage power station by combining operation data and power generation prediction information of the new energy power station and the energy storage power station in the virtual power plant may include: and determining a difference value between the grid-connected power target value and the current actual grid-connected power, and adjusting the generated energy of each generator set of the new energy power station according to a preset active power distribution strategy when the difference value exceeds a first preset limit value range until the current actual grid-connected power is adjusted to be within the preset limit value range.
Further, in yet another embodiment of the present disclosure, the scheduling instructions may also include a nominal system frequency. And when the scheduling instruction includes the rated system frequency, the method for performing power generation optimization control on each new energy power station and performing charge-discharge optimization control on the energy storage power station by combining the operation data and the power generation prediction information of the new energy power station and the energy storage power station under the virtual power plant may include: and detecting the current system frequency in real time, and adjusting the active power output according to a preset active-frequency droop characteristic curve when the deviation between the current system frequency and the rated system frequency is determined to exceed a second preset limit range so as to realize the frequency modulation function aiming at the new energy power station.
Further, in yet another embodiment of the present disclosure, the scheduling instructions may further include electricity rate change curve information. And when the scheduling instruction includes the electricity price change curve information, the method for performing power generation optimal control on each new energy power station and performing charge-discharge optimal control on the energy storage power station by combining the operation data and the power generation prediction information of the new energy power station and the energy storage power station under the virtual power plant specifically comprises the following steps: step a, calculating the allowable charging electricity price and the allowable discharging electricity price of the energy storage power station according to the electricity price change curve information and the charging and discharging cost information of the energy storage power station.
And b, controlling an energy storage battery of the energy storage power station to charge when the energy storage power station is in a charging mode and the current electricity price is less than the allowable charging electricity price.
And c, when the energy storage power station is in a discharging mode, and the current electricity price is less than the allowable discharging electricity price, controlling the energy storage battery of the energy storage power station to discharge.
Further, in yet another embodiment of the present disclosure, the scheduling instructions may further include a bus voltage rating, a grid power factor, a grid reactive power rating. And when the scheduling instruction comprises a bus voltage rated value, a grid-connected power factor and a grid-connected reactive power rated value, performing power generation optimization control on each new energy power station and performing charge-discharge optimization control on the energy storage power station by combining the operation data and power generation prediction information of the new energy power station and the energy storage power station under the virtual power plant can comprise the following steps:
the method comprises the steps of firstly, detecting current bus voltage, current grid-connected power factors and current grid-connected reactive power.
And secondly, determining a target working mode according to the current bus voltage, the current grid-connected power factor, the current grid-connected reactive power, the rated value of the bus voltage, the grid-connected power factor and the rated value of the grid-connected reactive power.
And step three, calculating a reactive power output value required to be adjusted according to the target working mode, and distributing the total reactive power output value to each generator set of the new energy power station.
In the embodiment of the present disclosure, the target operation mode may include a dynamic reactive voltage regulation control mode, a constant power factor control mode, and a constant reactive power control mode. And, in embodiments of the present disclosure, the priority of the dynamic reactive voltage regulation control mode is higher than the priority of the constant power factor control mode, and the priority of the constant power factor control mode is higher than the priority of the constant reactive power control mode.
Further, in the embodiment of the disclosure, in the dynamic reactive voltage regulation control mode, a reactive power regulation amount is calculated according to the voltage deviation and the system impedance or voltage difference regulation rate, and the reactive power output is regulated according to the reactive power regulation amount.
Further, in the embodiment of the disclosure, in the constant power factor control mode, when the grid-connected power factor exceeds the lower limit of the power factor or the lower limit of the power factor, the reactive power output is adjusted, so that the grid-connected power factor is kept within the limited range.
Further, in the embodiment of the disclosure, in the constant reactive power control mode, a reactive power target value is obtained, and the reactive power is distributed to each power regulation system according to the reactive power target value, so that the grid-connected total reactive power reaches the set reactive power.
In summary, the optimal control method for wind-solar energy storage and dispatching combined transportation of the virtual power plant for sharing energy storage provided by the application provides a wind-solar energy storage and dispatching combined transportation technology which meets safety dispatching constraint and gives consideration to economic benefit maximization and controllable operation risk under a shared energy storage environment, the virtual power plant firstly receives a day-ahead power generation plan sent by a cloud platform and a real-time dispatching instruction sent by a power grid dispatching center, and power generation optimal control for each new energy power station and charge-discharge optimal control for the energy storage power station are realized according to operation data and power generation prediction information of the wind-solar energy storage power plant under the virtual power plant so as to realize collaborative optimal control between the new energy power station and the shared energy storage power station under the virtual power plant. Therefore, the method provided by the disclosure ensures the energy storage charging and discharging times and improves the resource utilization rate of the new energy power station and the energy storage power station.
Example two
Fig. 2 is a flowchart illustrating a method for optimally controlling wind-solar-energy-storage combined dispatching combined transportation for a virtual power plant with shared energy storage provided in accordance with another embodiment of the present application, where as shown in fig. 2, the method may include:
step 201, receiving a day-ahead power generation plan sent by a cloud platform and a scheduling instruction sent by a power grid scheduling center.
Step 202, combining the operation data and the power generation prediction information of the new energy power station and the energy storage power station under the virtual power plant, performing power generation optimization control on each new energy power station and performing charge and discharge optimization control on the energy storage power station, so as to realize cooperative optimization control of the new energy power station and the energy storage power station under the virtual power plant.
In the embodiment of the disclosure, the optimization control includes comprehensive optimization control of wind-solar energy storage primary frequency modulation, secondary frequency modulation and peak shaving and wind-solar energy storage optimization control considering energy storage full life cycle cost under the market environment.
In the embodiment of the present disclosure, for detailed descriptions of steps 201 to 202, reference may be made to related descriptions in the above embodiments, which are not repeated herein.
Step 202, obtaining the output of each generator set of the new energy power station, and calculating the actual total output of the virtual power plant according to the output of each generator set.
And 203, performing low-pass filtering on the actual total output to obtain an expected output, and determining the suppression power fluctuation output of the stored energy according to the difference value of the actual total output and the expected output.
In summary, the optimal control method for wind-solar energy storage and dispatching combined transportation of the virtual power plant for sharing energy storage provided by the application provides a wind-solar energy storage and dispatching combined transportation technology which meets safety dispatching constraint and gives consideration to economic benefit maximization and controllable operation risk under a shared energy storage environment, the virtual power plant firstly receives a day-ahead power generation plan sent by a cloud platform and a real-time dispatching instruction sent by a power grid dispatching center, and power generation optimal control for each new energy power station and charge-discharge optimal control for the energy storage power station are realized according to operation data and power generation prediction information of the wind-solar energy storage power plant under the virtual power plant so as to realize collaborative optimal control between the new energy power station and the shared energy storage power station under the virtual power plant. Therefore, the method provided by the disclosure ensures the energy storage charging and discharging times and improves the resource utilization rate of the new energy power station and the energy storage power station.
Fig. 3 is a schematic structural diagram of a wind-solar-energy-storage combined-dispatching intermodal optimization device for a virtual power plant with shared energy storage provided in an embodiment of the present application, and as shown in fig. 3, the device may include:
the receiving module 301 is configured to receive a day-ahead power generation plan sent by the cloud platform and a scheduling instruction sent by the power grid scheduling center.
The control module 302 is configured to perform power generation optimization control on each new energy power station and perform charge and discharge optimization control on the energy storage power station in combination with operation data and power generation prediction information of the new energy power station and the energy storage power station in the virtual power plant, so as to realize cooperative optimization control of the new energy power station and the energy storage power station in the virtual power plant;
the optimization control comprises comprehensive optimization control of wind-solar energy storage primary frequency modulation, secondary frequency modulation and peak modulation and wind-solar energy storage optimization control considering energy storage full life cycle cost under the market environment.
Further, in an embodiment of the present disclosure, the scheduling instruction includes a day-ahead power generation plan and a real-time scheduling instruction, and the control module 302 is further configured to:
and generating a power generation control instruction for each new energy power station and a charge and discharge control instruction for the energy storage power station according to a day-ahead power generation plan and real-time scheduling instruction, the total actual power and the power generation predicted power of the new energy power station in the virtual power plant, and the capacity, the charge and discharge capacity and the charge state window limit value of the energy storage power station.
Further, in an embodiment of the present disclosure, the apparatus further includes:
and the sending module is used for sending the power generation control instruction to a new energy power station under the virtual power plant and sending the charging and discharging control instruction to the energy storage power station side control module so as to adjust the power generation amount of the new energy power station and the charging and discharging working mode of the energy storage power station.
Further, in an embodiment of the present disclosure, the control module 302 is further configured to:
calculating a power difference according to the planned power and the total actual power of the virtual power plant, and calculating the charge quantity of the controllable energy storage power station according to the capacity of the energy storage power station and the limit value of the state of charge window;
if the power difference is larger than 0, controlling an energy storage battery of the energy storage power station to enter a charging mode when the power difference is larger than the charge quantity of the controllable energy storage power station, stopping charging the energy storage battery when the charge quantity reaches the limit value of a charge state window, and correcting the planned power;
when the power difference is smaller than the charge amount of the controllable energy storage power station, controlling an energy storage battery of the energy storage power station to enter a charging mode;
if the power difference is less than 0, controlling an energy storage battery of the energy storage power station to enter a discharging mode when the power difference is less than the charge quantity of the controllable energy storage power station;
and when the power difference is larger than the charged quantity of the controllable energy storage power station, controlling an energy storage battery of the energy storage power station to enter a discharging mode, stopping discharging the energy storage battery when the electric quantity of the energy storage battery reaches the limit value of the state of charge window, and correcting the planned power.
Further, in an embodiment of the present disclosure, the scheduling instruction includes a grid-connected power target value, and the control module 302 is further configured to:
and determining a difference value between the grid-connected power target value and the current actual grid-connected power, and adjusting the generated energy of each generator set of the new energy power station according to a preset active power distribution strategy when the difference value exceeds a first preset limit range until the current actual grid-connected power is adjusted to be within the preset limit range.
Further, in an embodiment of the present disclosure, the scheduling instruction includes a nominal system frequency, and the control module 302 is further configured to:
and detecting the current system frequency in real time, and adjusting the active power output according to a preset active-frequency droop characteristic curve when the deviation between the current system frequency and the rated system frequency is determined to exceed a second preset limit value range so as to realize the frequency modulation function aiming at the new energy power station.
Further, in an embodiment of the present disclosure, the scheduling instruction includes information of a power rate change curve, and the control module 302 is further configured to:
calculating the allowable charging electricity price and the allowable discharging electricity price of the energy storage power station according to the electricity price change curve information and the charging and discharging cost information of the energy storage power station;
when the energy storage power station is in a charging mode and the current electricity price is less than the allowable charging electricity price, controlling an energy storage battery of the energy storage power station to charge;
when the energy storage power station is in the discharging mode, and the current electricity price is less than the allowable discharging electricity price, controlling the energy storage battery of the energy storage power station to discharge.
Further, in this disclosure, the scheduling command includes a bus voltage rating, a grid-connected power factor, and a grid-connected reactive power rating, and the control module 302 is further configured to:
detecting current bus voltage, current grid-connected power factors and current grid-connected reactive power;
determining a target working mode according to the current bus voltage, the current grid-connected power factor, the current grid-connected reactive power, a bus voltage rated value, a grid-connected power factor and a grid-connected reactive power rated value;
and calculating reactive power output values needing to be adjusted according to the target working mode, and distributing the total reactive power output values to each generator set of the new energy power station.
Further, in an embodiment of the present disclosure, the target operation mode includes a dynamic reactive voltage regulation control mode, a constant power factor control mode, and a constant reactive power control mode, the priority of the dynamic reactive voltage regulation control mode is higher than the priority of the constant power factor control mode, and the priority of the constant power factor control mode is higher than the priority of the constant reactive power control mode.
Further, in the embodiment of the present disclosure, in the dynamic reactive power voltage regulation control mode, a reactive power regulation amount is calculated according to the voltage deviation and the system impedance or voltage difference regulation rate, and the reactive power output is regulated according to the reactive power regulation amount; in a constant power factor control mode, when the grid-connected power factor exceeds a power factor lower limit or a power factor lower limit, regulating reactive power output so as to keep the grid-connected power factor within a limited range; and under the constant reactive power control mode, acquiring a reactive power target value, and distributing the reactive power to each power regulating system according to the reactive power target value so as to enable the grid-connected total reactive power to reach the set reactive power.
Further, in an embodiment of the present disclosure, the control module 302 is further configured to:
acquiring the output of each generator set of the new energy power station, and calculating the actual total output of the virtual power plant according to the output of each generator set;
and performing low-pass filtering on the actual total output to obtain expected output, and determining the suppression power fluctuation output of the stored energy according to the difference value of the actual total output and the expected output.
To sum up, the optimal control device of wind-solar energy storage and dispatching combined transportation of virtual power plant for sharing energy storage provided by the application provides a wind-solar energy storage and dispatching combined transportation technology which satisfies safety dispatching constraint and considers economic benefit maximization and operation risk controllability under the shared energy storage environment, a virtual power plant firstly receives a day-ahead power generation plan sent by a cloud platform and a real-time dispatching instruction sent by a power grid dispatching center, and realizes power generation optimal control aiming at each new energy power station and charge-discharge optimal control aiming at the energy storage power station according to operation data and power generation prediction information of the wind-solar energy storage power plant under the virtual power plant so as to realize collaborative optimal control between the new energy power station and the shared energy storage power station under the virtual power plant. Therefore, the method provided by the disclosure ensures the energy storage charging and discharging times and improves the resource utilization rate of the new energy power station and the energy storage power station.
In order to implement the above embodiments, the present disclosure also provides a computer storage medium.
The computer storage medium provided by the embodiment of the disclosure stores an executable program; the executable program, when executed by a processor, is capable of implementing a method as shown in any of figures 1-2 or figure 3.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing steps of a custom logic function or process, and alternate implementations are included within the scope of the preferred embodiment of the present application in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present application.
Although embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present application.
Claims (19)
1. An optimal control method for wind-solar-energy-storage combined dispatching combined transportation of a virtual power plant facing shared energy storage is characterized in that the virtual power plant comprises a plurality of new energy power stations and a single or a plurality of energy storage power stations, and the method comprises the following steps:
receiving a day-ahead power generation plan sent by a cloud platform and a scheduling instruction sent by a power grid scheduling center;
performing power generation optimization control on each new energy power station and performing charge-discharge optimization control on the energy storage power station by combining operation data and power generation prediction information of the new energy power station and the energy storage power station under the virtual power plant, so as to realize cooperative optimization control of the new energy power station and the energy storage power station under the virtual power plant;
the optimization control comprises comprehensive optimization control of wind-solar energy storage primary frequency modulation, secondary frequency modulation and peak modulation and wind-solar energy storage optimization control considering energy storage full life cycle cost under the market environment.
2. The optimal control method for wind, photovoltaic and energy storage combined dispatching and transportation of a virtual power plant facing shared energy storage of claim 1, wherein the dispatching command comprises a day-ahead power generation plan and a real-time dispatching command, and the method comprises the following steps:
generating a power generation control instruction for each new energy power station and a charge and discharge control instruction for the energy storage power station according to the day-ahead power generation plan and real-time scheduling instruction, the total actual power and the power generation predicted power of the new energy power station under the virtual power plant, and the capacity, the charge and discharge capacity and the charge state window limit value of the energy storage power station;
and the power generation control instruction is issued to a new energy power station under the virtual power plant, and the charge and discharge control instruction is issued to the energy storage power station side control module so as to adjust the generated energy of the new energy power station and the charge and discharge working mode of the energy storage power station.
3. The optimal control method for wind, light and storage combined dispatching combined transportation of a virtual power plant facing the shared energy storage according to claim 2, characterized by further comprising:
calculating a power difference according to the planned power and the total actual power of the virtual power plant, and calculating the charge quantity of the controllable energy storage power station according to the capacity of the energy storage power station and the limit value of the charge state window;
if the power difference is larger than 0, controlling an energy storage battery of the energy storage power station to enter a charging mode when the power difference is larger than the charge quantity of the controllable energy storage power station, stopping charging the energy storage battery when the charge quantity reaches the limit value of the charge state window, and correcting the planned power;
when the power difference is smaller than the charge amount of the controllable energy storage power station, controlling an energy storage battery of the energy storage power station to enter a charging mode;
if the power difference is smaller than 0, controlling an energy storage battery of the energy storage power station to enter a discharging mode when the power difference is smaller than the charge quantity of the controllable energy storage power station;
and when the power difference is larger than the charge quantity of the controllable energy storage power station, controlling an energy storage battery of the energy storage power station to enter a discharge mode, stopping discharging the energy storage battery when the charge quantity of the energy storage battery reaches the limit value of the charge state window, and correcting the planned power.
4. The optimal control method for wind, photovoltaic and energy storage combined dispatching combined transportation of the virtual power plant facing the shared energy storage of claim 1, wherein the dispatching command comprises a grid-connected power target value, and the method comprises the following steps:
and determining a difference value between the grid-connected power target value and the current actual grid-connected power, and adjusting the generated energy of each generator set of the new energy power station according to a preset active power distribution strategy when the difference value exceeds a first preset limit value range until the current actual grid-connected power is adjusted to be within the preset limit value range.
5. The optimal control method for wind, photovoltaic and energy storage combined dispatching and combined transportation of virtual power plants for sharing energy storage according to claim 1, wherein the dispatching command comprises a rated system frequency, and the method comprises the following steps:
and detecting the current system frequency in real time, and adjusting the active power output according to a preset active-frequency droop characteristic curve when the deviation between the current system frequency and the rated system frequency is determined to exceed a second preset limit value range so as to realize the frequency modulation function aiming at the new energy power station.
6. The optimal control method for wind, light and storage combined dispatching and transportation of virtual power plants for sharing energy storage according to claim 1, wherein the dispatching command comprises electricity price change curve information, and the method comprises the following steps:
calculating the allowable charging electricity price and the allowable discharging electricity price of the energy storage power station according to the electricity price change curve information and the charging and discharging cost information of the energy storage power station;
when the energy storage power station is in a charging mode and the current electricity price is less than the allowable charging electricity price, controlling an energy storage battery of the energy storage power station to charge;
when the energy storage power station is in a discharging mode, and the current electricity price is smaller than the allowable discharging electricity price, controlling an energy storage battery of the energy storage power station to discharge.
7. The optimal control method for wind, photovoltaic and energy storage combined dispatching and combined transportation of virtual power plants for sharing energy storage according to claim 1, wherein the dispatching information comprises a bus voltage rated value, a grid-connected power factor and a grid-connected reactive power rated value, and the method comprises the following steps:
detecting current bus voltage, current grid-connected power factors and current grid-connected reactive power;
determining a target working mode according to the current bus voltage, the current grid-connected power factor and the current grid-connected reactive power, and the bus voltage rated value, the grid-connected power factor and the grid-connected reactive power rated value;
and calculating reactive power output values to be adjusted according to the target working mode, and distributing total reactive power output to each generator set of the new energy power station.
8. The optimal control method for wind, photovoltaic and energy storage combined dispatching and combined transportation of a virtual power plant facing shared energy storage according to claim 7, characterized in that the target working modes comprise a dynamic reactive voltage regulation control mode, a constant power factor control mode and a constant reactive power control mode, the priority of the dynamic reactive voltage regulation control mode is higher than that of the constant power factor control mode, the priority of the constant power factor control mode is higher than that of the constant reactive power control mode, wherein,
under the dynamic reactive power voltage regulation control mode, calculating reactive power regulating quantity according to voltage deviation and system resistance or voltage difference regulation rate, and regulating reactive power output according to the reactive power regulating quantity;
in the constant power factor control mode, when the grid-connected power factor exceeds a power factor lower limit or a power factor lower limit, adjusting reactive power output so as to keep the grid-connected power factor within a limited range;
and under the constant reactive power control mode, acquiring a reactive power target value, and distributing the reactive power to each power regulating system according to the reactive power target value so as to enable the grid-connected total reactive power to reach the set reactive power.
9. The optimal control method for wind, light and storage co-debugging combined transportation of a virtual power plant facing shared energy storage according to claim 1, characterized by further comprising:
acquiring the output of each generator set of the new energy power station, and calculating the actual total output of the virtual power plant according to the output of each generator set;
and performing low-pass filtering on the actual total output to obtain expected output, and determining the suppression power fluctuation output of the stored energy according to the difference value of the actual total output and the expected output.
10. A wind-solar-energy-storage combined dispatching and combined transportation optimization device for a virtual power plant with shared energy storage, wherein the virtual power plant comprises a plurality of new energy power stations and a single or a plurality of energy storage power stations, and the device comprises:
the receiving module is used for receiving a day-ahead power generation plan sent by the cloud platform and a scheduling instruction sent by the power grid scheduling center;
the control module is used for performing power generation optimization control on each new energy power station and performing charge-discharge optimization control on the energy storage power station by combining operation data and power generation prediction information of the new energy power station and the energy storage power station under the virtual power plant so as to realize cooperative optimization control of the new energy power station and the energy storage power station under the virtual power plant;
the optimization control comprises comprehensive optimization control of wind-solar energy storage primary frequency modulation, secondary frequency modulation and peak modulation and wind-solar energy storage optimization control considering energy storage full life cycle cost under the market environment.
11. The wind, light and storage combined dispatching and transportation optimization control device facing the virtual power plant with shared energy storage of claim 10, wherein the dispatching command comprises a day-ahead power generation plan and a real-time dispatching command, the device further comprises a sending module,
the control module is further used for generating a power generation control instruction for each new energy power station and a charge and discharge control instruction for the energy storage power station according to the day-ahead power generation plan and real-time scheduling instruction, the total actual power and the power generation predicted power of the new energy power station under the virtual power plant, and the capacity, the charge and discharge capacity and the charge state window limit value of the energy storage power station;
and the sending module is used for sending the power generation control instruction to a new energy power station under the virtual power plant and sending the charge and discharge control instruction to the energy storage power station side control module so as to adjust the power generation amount of the new energy power station and the charge and discharge working mode of the energy storage power station.
12. The wind, photovoltaic and energy storage combined dispatching and combined transportation optimal control device oriented to the virtual power plant with shared energy storage of claim 11, wherein the control module is further used for:
calculating a power difference according to the planned power and the total actual power of the virtual power plant, and calculating the charge quantity of the controllable energy storage power station according to the capacity of the energy storage power station and the limit value of the charge state window;
if the power difference is larger than 0, controlling an energy storage battery of the energy storage power station to enter a charging mode when the power difference is larger than the charge quantity of the controllable energy storage power station, stopping charging the energy storage battery when the charge quantity reaches the limit value of the charge state window, and correcting the planned power;
when the power difference is smaller than the charge amount of the controllable energy storage power station, controlling an energy storage battery of the energy storage power station to enter a charging mode;
if the power difference is smaller than 0, controlling an energy storage battery of the energy storage power station to enter a discharging mode when the power difference is smaller than the charge quantity of the controllable energy storage power station;
and when the power difference is larger than the charge quantity of the controllable energy storage power station, controlling an energy storage battery of the energy storage power station to enter a discharge mode, stopping discharging the energy storage battery when the charge quantity of the energy storage battery reaches the limit value of the charge state window, and correcting the planned power.
13. The wind-solar-energy-storage combined dispatching and intermodal optimization control device for the virtual power plant facing the shared energy storage according to claim 10, wherein the dispatching command comprises a grid-connected power target value, and the control module is further configured to:
and determining a difference value between the grid-connected power target value and the current actual grid-connected power, and adjusting the generated energy of each generator set of the new energy power station according to a preset active power distribution strategy when the difference value exceeds a first preset limit value range until the current actual grid-connected power is adjusted to be within the preset limit value range.
14. The wind, photovoltaic and energy storage combined dispatching and combined transportation optimal control device oriented to the virtual power plant with shared energy storage of claim 10, wherein the dispatching command comprises a rated system frequency, and the control module is further configured to:
and detecting the current system frequency in real time, and adjusting the active power output according to a preset active-frequency droop characteristic curve when the deviation between the current system frequency and the rated system frequency is determined to exceed a second preset limit value range so as to realize the frequency modulation function aiming at the new energy power station.
15. The wind, photovoltaic and energy storage combined dispatching and combined transportation optimization control device oriented to the virtual power plant with shared energy storage of claim 10, wherein the dispatching command comprises information of electricity price change curve, and the control module is further configured to:
calculating the allowable charging electricity price and the allowable discharging electricity price of the energy storage power station according to the electricity price change curve information and the charging and discharging cost information of the energy storage power station;
when the energy storage power station is in a charging mode and the current electricity price is less than the allowable charging electricity price, controlling an energy storage battery of the energy storage power station to charge;
when the energy storage power station is in a discharging mode, and the current electricity price is smaller than the allowable discharging electricity price, controlling an energy storage battery of the energy storage power station to discharge.
16. The wind-solar-energy-storage combined dispatching and intermodal optimization control device for the virtual power plant facing the shared energy storage of claim 10, wherein the dispatching command comprises a bus voltage rating, a grid-connected power factor, and a grid-connected reactive power rating, and the control module is further configured to:
detecting current bus voltage, current grid-connected power factors and current grid-connected reactive power;
determining a target working mode according to the current bus voltage, the current grid-connected power factor and the current grid-connected reactive power, and the bus voltage rated value, the grid-connected power factor and the grid-connected reactive power rated value;
and calculating reactive power output values to be adjusted according to the target working mode, and distributing total reactive power output to each generator set of the new energy power station.
17. The wind, photovoltaic and energy storage combined dispatching and combined transportation optimal control device facing the virtual power plant with shared energy storage of claim 16, wherein the target working modes comprise a dynamic reactive voltage regulation control mode, a constant power factor control mode and a constant reactive power control mode, the dynamic reactive voltage regulation control mode has a higher priority than the constant power factor control mode, the constant power factor control mode has a higher priority than the constant reactive power control mode, wherein,
under the dynamic reactive power voltage regulation control mode, calculating reactive power regulating quantity according to voltage deviation and system resistance or voltage difference regulation rate, and regulating reactive power output according to the reactive power regulating quantity;
in the constant power factor control mode, when the grid-connected power factor exceeds a power factor lower limit or a power factor lower limit, adjusting reactive power output so as to keep the grid-connected power factor within a limited range;
and under the constant reactive power control mode, acquiring a reactive power target value, and distributing the reactive power to each power regulating system according to the reactive power target value so as to enable the grid-connected total reactive power to reach the set reactive power.
18. The wind, light and storage combined dispatching and intermodal optimization control device facing virtual power plant with shared energy storage of claim 10, characterized in that the control module is further configured to:
acquiring the output of each generator set of the new energy power station, and calculating the actual total output of the virtual power plant according to the output of each generator set;
and performing low-pass filtering on the actual total output to obtain expected output, and determining the suppression power fluctuation output of the stored energy according to the difference value of the actual total output and the expected output.
19. A non-transitory computer readable storage medium having stored thereon a computer program, wherein the computer program, when executed by a processor, implements the method for optimal control of wind-solar-storage intermodular transport for a virtual plant oriented to shared storage of energy according to any one of claims 1 to 9.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116260231A (en) * | 2022-09-29 | 2023-06-13 | 中兴通讯股份有限公司 | Communication station, power control method and device thereof and computer storage medium |
| CN116316739A (en) * | 2023-04-12 | 2023-06-23 | 湖南经研电力设计有限公司 | Day collaborative scheduling method and system for shared energy storage station based on charge-discharge tide optimization |
| CN117439126A (en) * | 2023-10-24 | 2024-01-23 | 上海勘测设计研究院有限公司 | New energy collection region shared energy storage optimizing operation method and device |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116260231A (en) * | 2022-09-29 | 2023-06-13 | 中兴通讯股份有限公司 | Communication station, power control method and device thereof and computer storage medium |
| CN116260231B (en) * | 2022-09-29 | 2024-04-12 | 中兴通讯股份有限公司 | Communication station, power control method and device thereof and computer storage medium |
| CN116316739A (en) * | 2023-04-12 | 2023-06-23 | 湖南经研电力设计有限公司 | Day collaborative scheduling method and system for shared energy storage station based on charge-discharge tide optimization |
| CN117439126A (en) * | 2023-10-24 | 2024-01-23 | 上海勘测设计研究院有限公司 | New energy collection region shared energy storage optimizing operation method and device |
| CN117439126B (en) * | 2023-10-24 | 2024-04-26 | 上海勘测设计研究院有限公司 | New energy collection region shared energy storage optimizing operation method and device |
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