JP2024008788A - Power control method, device, electronic apparatus and storage medium - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a power control method, a device, an electronic apparatus and a storage medium which improve accuracy of power allocation of a new energy power generation device.

SOLUTION: A method comprises steps of: acquiring target scheduling power; acquiring an output power prediction value of at least one new energy power generation device; determining first scheduling power of each new energy power generation device by comparing the output power prediction value of the at least one new energy power generation device with the target scheduling power; determining second scheduling power of each new energy power generation device by adjusting the first scheduling power on the basis of power restriction of each new energy power generation device; and determining target scheduling sub-power of each new energy power generation device by adjusting the second scheduling power on the basis of an actual operational state of each new energy power generation device.

SELECTED DRAWING: Figure 1

COPYRIGHT: (C)2024,JPO&INPIT

Description

The present invention relates to the technical field of power system operation and control, and specifically relates to a power control method, device, electronic device, and storage medium.

Building a new power system based on new energy is an important measure to achieve the goal of "peaking out carbon dioxide emissions and neutralizing carbon," but increasing the proportion of new energy power generation is also important for improving the power system. poses a severe challenge to active power control. Compared with traditional thermal power generators, new energy power generation has the characteristics of randomness, variability and intermittency, and its output active power cannot be precisely controlled according to scheduling instructions. Therefore, it is necessary to compensate for the difference in active power through fast and accurate charge/discharge control of energy storage devices. Taking a wind power generation, solar power generation, and energy storage integrated field station as an example, the active power control of the wind power generation, solar power generation, and energy storage integrated field station (group) is based on the wind power generation, solar power generation, and energy storage. There are high demands on control policies regarding cooperative control.

In the prior art, according to the cooperation relationship of wind power generation, solar power generation and energy storage, the difference between the scheduling command value and the actual active power of the wind power generation, solar power generation and energy storage integrated field station(s) is minimal. This is the control objective of the active power control of wind power generation, solar power generation, and energy storage integrated field station(s), that is, if the active power control of wind power generation and solar power generation cannot satisfy the scheduling command, Energy storage is used to compensate for the difference in active power, and when the active power of wind power generation and solar power generation is greater than the scheduling command value, energy storage and charging are performed to absorb the excess energy. However, because the installed capacity of wind power generation and solar power generation is large, in the scene of dynamic wind power generation and dynamic solar power generation, the deviation of active power control due to the power prediction error of wind power generation and solar power generation is reduced to command tracking control. This significantly increases the difference between the actual scheduling power and the commanded value of the integrated wind/solar PV/energy storage field station(s), thereby increasing the Improving the power adjustment range and increasing the possibility of overcharging and discharging in storage.

In view of this, embodiments of the present invention provide a power control method, device, electronic device, and storage medium that improve the accuracy of power allocation in a new energy power generation device.

According to a first aspect, an embodiment of the invention comprises:
obtaining a target scheduling power;
Obtaining a predicted output power value of at least one new energy power generation device;
determining a first scheduled power of each of the new energy power generation devices by comparing a predicted output power of the at least one new energy power generation device with a target scheduling power;
determining a second scheduled power for each of the new energy power generation devices by adjusting the first scheduled power based on a power limit of each of the new energy power generation devices;
determining a target scheduling sub-power for each of the new energy power generation devices by adjusting the second scheduling power based on the actual operating state of each of the new energy power generation devices. .

In the power control method according to this embodiment, after determining the target scheduling power, the predicted output power value of each new energy power generation device is referred to, and logical judgments such as comparing the predicted output power value and the target scheduling power are made. determining a first scheduling power by determining a first scheduling power, and further determining a second scheduling power by adjusting the first scheduling power based on the power limit of the new energy power generation device, and determining a target scheduling power for each new energy power generation device. The second scheduling power can be adjusted by taking into account the actual operating state of the new energy power generation device until determining , and thus the power can be supplied according to the target scheduling sub-power, and accurate allocation of the target scheduling power can be achieved. .

Referring to the first aspect, in one embodiment, the first scheduling power of each new energy power generation device is determined by comparing the predicted output power of the at least one new energy power generation device with a target scheduling power. The steps are
Comparing predicted output power values of each of the new energy power generation devices and determining a target new energy power generation device with the largest predicted output power value;
The method includes the step of comparing a predicted output power value of the target new energy power generation device with the target scheduling power, and determining a first scheduling power of each of the new energy power generation devices based on the comparison result.

Referring to the first aspect, in one embodiment, the predicted output power value of the target new energy power generation device and the target scheduling power are compared, and the first scheduling power of each new energy power generation device is determined based on the comparison result. The steps to do are
If the predicted output power value of the target new energy power generation device is larger than the target scheduling power, the target new energy power generation device is determined as a new energy power generation device that supplies the target scheduling power, and based on the target scheduling power, determining a first scheduling power of the target new energy power generation device;
If the predicted output power value of the target new energy power generation device is less than or equal to the target scheduling power, comparing the sum of the predicted output power values of each of the new energy power generation devices and the target scheduling power;
If the sum of predicted output power values of each of the new energy power generation devices is greater than or equal to the target scheduling power, the method further includes the step of determining first scheduling power of each of the new energy power generation devices based on the target scheduling power.

Referring to the first aspect, in one embodiment, the step of comparing the sum of predicted output power values of each of the new energy power generation devices and the target scheduling power,
If the sum of the predicted output power values of each of the new energy power generation devices is smaller than the target scheduling power, determining a first scheduling power of each of the new energy power generation devices and the energy storage device based on the target scheduling power. Including further.

Referring to the first aspect, in one embodiment, determining a second scheduled power for each of the new energy power generation devices by adjusting the first scheduled power based on a power limit of each of the new energy power generation devices. teeth,
The optimization goal is to minimize the difference between the second scheduling power and the first scheduling power, and the second scheduling power is optimized based on the power limit of each of the new energy power generation devices, and the second scheduling power is a step of determining a reference value of;
determining the updated first scheduling power of each of the new energy power generation devices by comparing the reference value of the second scheduling power of the at least one new energy power generation device with the target scheduling power;
optimizing the second scheduling power based on the power limit of each of the new energy power generation devices, with an optimization goal that the difference between the second scheduling power and the updated first scheduling power is a minimum; and, including.

Referring to the first aspect, in one embodiment, when the new energy device includes a first new energy power generation device, a second new energy power generation device, and an energy storage device, based on the power limit of each of the new energy power generation devices. optimizing the second scheduling power by
optimizing the second scheduled power based on the output limiting constraints of the first new energy power generating device and the second new energy generating device, the output climbing limiting constraint, and the charging/discharging constraint conditions of the energy storage device; include.

Referring to the first aspect, in one embodiment, when the new energy device includes a first new energy power generation device, a second new energy power generation device, and an energy storage device, the actual operating state of each of the new energy power generation devices determining a target scheduled sub power of each new energy power generation device by adjusting the second scheduled power based on;
setting as an optimization goal that the difference between the second scheduled power and the target scheduled sub-power of each of the new energy power generation devices is the minimum;
By optimizing the optimization target based on the rated power and minimum output power of the first new energy power generation device and the second new energy power generation device, determining a target scheduling sub-power;
determining a target scheduling sub-power of the energy storage device by optimizing the optimization target based on upper and lower limits of charge/discharge power of the energy storage device.

According to a second aspect, an embodiment of the invention comprises:
a scheduling power acquisition unit for acquiring target scheduling power;
an output power determination unit for obtaining a predicted output power value of at least one new energy power generation device;
a first scheduling power determination unit for determining a first scheduling power of each of the new energy power generation devices by comparing a predicted output power of the at least one new energy power generation device with a target scheduling power;
a second scheduling power determining unit for determining a second scheduling power of each of the new energy power generation devices by adjusting the first scheduling power based on a power limit of each of the new energy power generation devices;
a target scheduling determination unit for determining a target scheduling sub-power of each of the new energy power generation devices by adjusting the second scheduling power based on the actual operating state of each of the new energy power generation devices; Provide a control device.

According to a third aspect, embodiments of the invention include a memory and a processor communicatively connected to each other, wherein computer instructions are stored in the memory, and the processor executes the computer instructions to: An electronic device that executes the power control method described in the first aspect or the embodiment of the first aspect is provided.

According to a fourth aspect, embodiments of the invention provide a computer in which computer instructions for causing a computer to perform a power control method according to the first aspect or an embodiment of any of the first aspects are stored. Provide a readable storage medium.

In order to more clearly explain the specific embodiments of the present invention or the technical solutions of the prior art, the following briefly introduces the drawings that need to be used to explain the specific embodiments or the prior art, Obviously, the drawings in the following description are some embodiments of the invention, and a person skilled in the art can further derive other drawings based on these drawings without any creative effort.

3 is a flowchart of a power control method according to an embodiment of the present invention. 5 is a flowchart of a first scheduling power determination method according to an embodiment of the present invention. 5 is a flowchart of a first scheduling power determination method according to an embodiment of the present invention. 5 is a flowchart of a second scheduling power determination method according to an embodiment of the present invention. FIG. 3 is a schematic diagram of a first scheduling power determination method according to an embodiment of the present invention; 1 is a schematic block diagram of a power control device according to an embodiment of the present invention. 1 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present invention.

In order to make the objectives, technical solutions and advantages of the embodiments of the present invention more clear, please refer to the drawings in the embodiments of the present invention below to clearly and completely explain the technical solutions of the embodiments of the present invention. It will be appreciated that the illustrated embodiments are some, but not all, embodiments of the invention. All other embodiments obtained by those skilled in the art without making creative efforts based on the embodiments of the present invention fall within the protection scope of the present invention.

A new power system based mainly on new energy is an important measure to achieve the goal of "peaking out carbon dioxide emissions and neutralizing carbon," but compared to conventional thermal power generators, new energy power generation is random, It has the characteristics of variability and intermittency, and its output active power cannot be precisely controlled according to the scheduling instructions, so the power supply can be improved by controlling the multi-new energy power supply device more precisely according to the scheduling requirements. Efficiency needs to be improved.

A command tracking control model based on the new energy power generation device may be constructed, and the model may include an active power control layer, a long-scale power control layer, and a short-time scale power control layer, and the model may include an active power control layer, a long-scale power control layer, and a short-time scale power control layer. The output result is input to the long-time scale power control layer, and the output result of the long-time scale power control layer is input back to the active power control layer until the output result of the long-time scale power control layer satisfies a preset condition. Furthermore, the optimization results of the long-time scale power control layer are input to the short-time scale power control layer, and the target scheduling sub-power of each new energy power generation device is determined by calculation by the three-layer control layer. As a result, it is possible to accurately allocate power to each new energy power generation device. For a specific method, refer to the embodiments below.

According to an embodiment of the present invention, an embodiment of a power control method is provided, wherein the steps illustrated in the flowchart of the drawings can be performed in a computer system of a set of computer-executable instructions, and Although a logical order is shown in the flowcharts, in some cases the steps shown or described may be performed in a different order.

This embodiment provides a power control method that can be used in terminals such as mobile phones, computers, tablet computers, etc. FIG. 1 is a flowchart of the power control method according to the embodiment of the present invention, and as shown in FIG. , the flow includes steps S11 to S15.

In step S11, target scheduling power is acquired.

The power grid needs to realize the supply and demand balance between power generation and power consumption, and needs to satisfy the power consumption demand of the user by sending a scheduling command to the power supply device, and the command value is the target scheduling power.

In step S12, a predicted output power value of at least one new energy power generation device is acquired.

The power supply system includes at least one new energy power generation device, and the new energy power generation device may include a solar power generation device, a wind power generation device, and the like. The predicted output power is obtained by a predictive model based on the performance of the power generating set. Normally, target scheduling power can be allocated according to the installed capacity or predicted output power of the power generation equipment, but considering the uncertainty and complementarity of the output of each new energy power supply equipment, the predicted output power value of each new energy power supply equipment and By comparing the scheduled power with the target scheduling power, the power allocation policy of the new energy power generation device can be determined.

In step S13, the first scheduling power of each new energy power generation device is determined by comparing the predicted output power of at least one new energy power generation device with the target scheduling power.

Compare the predicted output power values between the new energy power generation devices, compare the predicted output power value of the large new energy power generation device with the target scheduling power, determine the first scheduling power of each new energy power generation device, and determine the first scheduling power of each new energy power generation device. Power refers to the power value of each new energy power generation device after being logically determined. If the predicted output power value of the new energy power generation device is equal to or higher than the target scheduling power, the new energy power generation device outputs power, thereby determining the first scheduling power of the new energy power generation device, that is, the target scheduling power; If the predicted output power value of the new energy power generation device is smaller than the target scheduling power, power is output by two or more types of new energy power generation devices, and the sum of the first scheduling power of the new energy power generation devices outputting power is the target scheduling power. It is electricity.

The first scheduling power obtained in this step is obtained by constructing the active power command allocation layer of the control model, but the first scheduling power obtained does not take into account the power limit of each new energy power generation device. Therefore, the result cannot directly realize power control of each new energy power generation device.

In step S14, the second scheduling power of each new energy power generation device is determined by adjusting the first scheduling power based on the power limit of each new energy power generation device.

The step may include inputting the first scheduling power into a long-time scale power control layer of the control model and performing calculations and optimizations to determine the second scheduling power. After determining the first scheduled power, an optimization function regarding the second scheduled power may be determined with reference to the first scheduled power and power limit of each new energy power generation device. The optimization function is optimized based on the output limit conditions of each new energy power generation device to obtain second scheduled power. The second scheduling power is recalculated as an input value of the active power command allocation layer, and the optimized second scheduling power is determined by repeatedly optimizing the second scheduling power until the calculation result of the second scheduling power remains unchanged.

In step S15, the target scheduling sub power of each new energy power generation device is determined by adjusting the second scheduling power based on the actual operating state of each new energy power generation device.

After determining the second scheduling power of each new energy power generation device, it is necessary to further allocate the target scheduling power by considering the actual operating status of each new energy power generation device, respectively. There is a certain error between the actual output of new energy power generation equipment and the second scheduled power, which may cause the power difference, so at short period intervals, the actual working status of each new energy power generation equipment An optimization calculation may be performed on the second scheduling power based on the second scheduling power to determine the target scheduling sub-power, that is, the second scheduling power may be input to the short-time scale power control layer. Each new energy power generation device may be powered according to the target scheduled sub-power, and the sum of the target scheduled sub-power of each new energy power generation device is the target scheduled power.

The actual operating state may include the number of new energy power generation devices, rated power, minimum output power, etc., and may specifically be adjusted according to the type of new energy power generation devices.

In the power control method according to this embodiment, after determining the target scheduling power, the predicted output power of each new energy power generation device is referred to, and logical judgments such as comparing the predicted output power and the target scheduling power are made. By determining the first scheduling power, and further adjusting the first scheduling power based on the power limit of the new energy power generation device, the second scheduling power is determined, and the target scheduling power of each new energy power generation device is determined. Until it is determined, the second scheduling power can be adjusted taking into account the actual operating state of the new energy power generation device, and thus power can be supplied according to the target scheduling sub-power to ensure accurate allocation of the target scheduling power.

In this embodiment, a first scheduling power determination method is provided, which corresponds to step S13 in FIG. The flow includes step S21 and step S22.

In step S21, the predicted output power values of each new energy power generation device are compared, and the target new energy power generation device with the largest predicted output power value is determined.

If there are multiple new energy power generation devices, the predicted output power values of the new energy power generation devices are compared, and the new energy power generation device with the largest predicted output power value is determined as the target new energy power generation device.

In step S22, the predicted output power value of the target new energy power generation device and the target scheduling power are compared, and the first scheduling power of each new energy power generation device is determined based on the comparison result.

Specifically, as shown in FIG. 3, step S22 includes steps S221 to S223.

In step S221, if the predicted output power value of the target new energy power generation device is larger than the target scheduling power, the target new energy power generation device is determined as a new energy power generation device that supplies the target scheduling power, and the target new energy power generation device is determined based on the target scheduling power. A first scheduled power of the new energy power generation device is determined.

The predicted output power value of the target new energy power generation device and the target scheduling power are compared, and if the predicted output power value of the target new energy power generation device is larger than the target scheduling power, power is supplied by the target new energy power generation device, and the amount of power supplied is is the target scheduling power, in this case, the first scheduling power of the target new energy device is the target scheduling power, and the surplus power of the target new energy device can charge the energy storage device.

In step S222, when the predicted output power value of the target new energy power generation device is less than or equal to the target scheduling power, the sum of the predicted output power values of each new energy power generation device and the target scheduling power are compared.

In step S223, if the sum of the predicted output power values of each new energy power generation device is equal to or greater than the target scheduling power, the first scheduling power of each new energy power generation device is determined based on the target scheduling power.

If the predicted output power of the target new energy power generation device is less than or equal to the target scheduling power, compare the sum of the predicted output power of each new energy power generation device with the target scheduling power, and if the predicted value of the output power of each new energy power generation device is greater than or equal to the target scheduling power, Power is supplied by the new energy power generation device, the sum of the first scheduled power of each new energy power generation device is the target scheduled power, and the surplus power can charge the energy storage device.

In one embodiment, if the sum of predicted output power values of each new energy power generation device is smaller than a target scheduling power, the first scheduling power of each new energy power generation device and energy storage device is determined based on the target scheduling power.

In this embodiment, a second scheduling power determination method is provided, which corresponds to step S14 in FIG. The flow includes the following steps S31 to S33.

In step S31, the optimization goal is to minimize the difference between the second scheduling power and the first scheduling power, and the second scheduling power is optimized based on the power limit of each new energy power generation device, and the second scheduling power is Determine the reference value of

When actually allocating power, it is necessary to consider the power limit of each new energy power generation device, optimize the second scheduling power based on the constraints of the power limit, and determine the reference value of the second scheduling power, The second scheduling power is a transmission power reference value of each new energy power generation device.

Setting an optimization goal to minimize the difference between the second scheduling power and the first scheduling power, constructing an optimization goal function, and determining constraint conditions with reference to the power limit of each new energy power generation device, It is necessary to optimize the optimization objective function based on the constraints, obtain the second scheduling power, and repeatedly optimize the second scheduling power until the result does not change, and before determining the final second scheduling power. Additionally, the result output by the long-time scale control layer may be used as the reference value for the second scheduling power.

In one embodiment, the second scheduling power is optimized based on the output limit constraint of the first new energy power generation device and the second new energy power generation device, the output climbing limit constraint, and the charge/discharge constraint of the energy storage device.

In step S32, the updated first scheduling power of each new energy power generation device is determined by comparing the reference value of the second scheduling power of at least one new energy power generation device with the target scheduling power.

The reference value of the second scheduling power obtained by optimizing the target optimization function based on the constraint conditions is input to the active power command allocation layer, and the reference value of the second scheduling power of each new energy power generation device is used to predict the output power. A logical judgment is made instead of a value, and the detailed process will be described in steps S21 and S22 and will not be described here.

In step S33, the optimization goal is to minimize the difference between the second scheduling power and the updated first scheduling power, and the second scheduling power is optimized based on the power limit of each new energy power generation device. .

Step S31 is repeated based on the result obtained in step S32, that is, the target optimization function is updated, and optimization is repeatedly performed until the finally obtained reference value of the second scheduling power does not change. determining second scheduling power;

The second scheduling power is the input power of each new energy power generation device, and after determining the second scheduling power, it needs to be further adjusted in consideration of the actual operating status of each new energy power generation device. Since the input value of the long-time scale power control layer is obtained based on the long-time scale prediction result, there is a possibility that a certain error exists between the actual output value of the new energy power generation device and the second scheduled power. Yes, and can cause frequent charging and discharging of energy storage devices. Therefore, in the short-time scale power control layer, the control time scale is further compressed, a scroll optimization calculation method is adopted, and the allocated power of the new energy power generation device is allocated at short time intervals (for example, every minute or tens of seconds). The target scheduling power allocation is achieved by adjusting and obtaining each target scheduling sub-power.

Specifically, a short-time scale power control layer is constructed, and the optimization goal is to minimize the difference between the second scheduling power and the target scheduling sub-power of each new energy power generation device, and the first new energy power generation device and the rated power and minimum output power of the second new energy power generation device, and optimize the optimization target based on the upper and lower limits of the charging and discharging power of the energy storage device, so that each The target scheduling sub-power of the new energy power generation device may be determined.

Take wind power generation, solar power generation and energy storage (wind power generation, solar power generation and energy storage) integrated field station as an example, that is, new energy power generation equipment includes wind power generation equipment, solar power generation equipment and energy storage equipment, A three-layer command tracking control model of power generation/solar power generation/energy storage integrated field station is constructed, and the control model includes an active power control layer, a long-scale power control layer, and a short-time scale power control layer.

When necessary, the power grid achieves the supply-demand balance between power generation and power consumption by sending scheduling instructions to wind power, solar power, and energy storage field stations. The power consumption demand of the user is met by allocating the power generation of each device, and the scheduling instruction includes the target scheduling power, that is, the amount of power output from the integrated wind power, solar power, and energy storage field station. A predicted output power value obtained by a prediction model based on the performance of the power generation device is obtained, and the predicted output power value is compared with a target scheduling power, thereby determining a first scheduled power of each new energy power generation device.

As for the specific determination logic, as shown in FIG. 5, specifically, first, the predicted output power values of the wind power generation device and the solar power generation device are determined within the period of transmitting the scheduling command. If the predicted output power value of the wind power generation device is larger than the predicted output power value of the solar power generation device, further determine whether the predicted output power value of the wind power generation device is larger than the target scheduling power, and if so. , so that only the wind power generation device supplies power to meet the target scheduling power, and the surplus power of the wind power generation device and the solar power generation device powers the energy storage device, otherwise the wind power generation device and the solar power generation device It is determined whether the predicted output power value of is greater than or equal to the target scheduling power. If the predicted output power values of the wind power generation device and the solar power generation device are equal to or higher than the target scheduling power, power is supplied by both the wind power generation device and the solar power generation device, and the first scheduling power of the wind power generation device and the solar power generation device is The surplus power of the wind power generation device and the solar power generation device is used to power the energy storage device, and if the predicted output power of the wind power generation device and the solar power generation device is smaller than the target scheduling power, the wind power generation jointly powered by equipment, solar power generation equipment and energy storage equipment. Similarly, if the predicted output power value of the wind power generation device is smaller than the predicted output power value of the solar power generation device, the predicted output power value of the solar power generation device is compared with the target scheduling power, and the subsequent decision logic is as described above. Match the method.

By logically allocating each device using the active power control layer, it is possible to determine the first scheduling power of each device that satisfies the target scheduling power. Since the allocation logic does not take into account the power limitations of wind power, solar power and energy storage devices, the first scheduling power can be an input to the long scale power control layer. Specifically, an optimization objective function is constructed, and the formula of the optimization objective function is shown below.
However, P _{wind_part} , P _{PV_part} , and P _{storage_part} indicate the first scheduling power of the wind power generation device, the solar power generation device, and the energy storage device, respectively, and P _{wind_ref} , P _{PV_ref} , and P _{storage_ref} indicate the first scheduling power of the wind power generation device, the solar power generation device, and the energy storage device, respectively. and a reference value of the second scheduled power of the energy storage device.

The following constraint conditions (1) to (3) are set in consideration of the power limitations of wind power generation equipment, solar power generation equipment, and energy storage equipment.

(1) Output limiting conditions for wind power generation and solar power generation
However, P _{wind_N} , P _{wind_min} and P _{wind_ref} indicate the total installed capacity, minimum total output power and second scheduling power of the wind power generation device, respectively, and P _{PV_N} , P _{PV_min} and P _{PV_ref} respectively indicate the total installed capacity of the solar power generation device. , P _{storage_N} , P _{storage_min} and P _{storage_ref} represent the total installed capacity, minimum total output power and second scheduling power of the energy storage device, respectively.

(2) Output climbing limit constraints for wind power generation and solar power generation
However, P _{wind_ref} indicates the second scheduling power of the wind power generation device, P _{wind_pre} indicates the power value before the wind power generation device participates in command control, P _{wind_N} indicates the total installed capacity of the wind power generation device, and L _climb The wind power generation device indicates a limit value of the climbing rate within the transmission interval period of the scheduling command.

(3) Energy storage charge/discharge constraint conditions
Here, P _{storage_ref} indicates the second scheduling power of the energy storage device, P _{storage_pre} indicates the power value before the energy storage device participates in command control, P _{storage_N} indicates the total installed capacity of the energy storage device, and L _charge represents the charging/discharging limit value of the energy storage device.

The output result of the long-scale power control layer is input to the active power control layer, the first scheduling power is acquired again, inputted to the long-time scale power control layer and recalculated, the second scheduling power is output, and the first scheduling power is recalculated. The second scheduling power is iteratively optimized until the first scheduling power and the second scheduling power are the same, the second scheduling power is determined, and the second scheduling power is input to a short-time scale power control layer.

The second scheduling power is the power reference value of the wind power generation device, the solar power generation device, and the energy storage device, and also needs to be further allocated in consideration of the actual operating status of the wind power generation device, the solar power generation device, and the energy storage device. There is. Since the output result of the long-scale power control layer is obtained by calculation based on the long-time scale prediction result, there is a certain error between the actual output of the wind power generation device and the solar power generation device and the second scheduling power. present, causing frequent charging and discharging of energy storage devices. Therefore, in the short-time scale power control layer, the time scale is compressed and the method of scroll optimization calculation is adopted, and the wind power generation device, solar power generation device, and energy storage device are Optimization calculation is performed on the second scheduling power.

Specifically, the optimization goal is to minimize the difference value between the second scheduling power and the target scheduling sub-power of each new energy power generation device, and a short-time scale power control layer can be constructed. The optimized objective function is shown below.
However, P _{wind_ref} , P _{PV_ref} , and P _{storage_ref} indicate the second scheduling power of the wind power generation device, the solar power generation device, and the energy storage device, respectively, and P _{wind_i} , P _{PV_j} , and P _{storage_k} respectively indicate the i-th wind power generation device, j The target scheduling sub-power of the th solar power generation device and the kth energy storage device is shown, and N _wind , N _PV , and N _storage are the numbers of the wind power generation device, the solar power generation device, and the energy storage device, respectively.

Set the following constraints.
However, P _{wind_mini} indicates the minimum output power of the i-th wind power generation device, P _{wind_Ni} indicates the rated power of the i-th wind power generation device, P _{wind_i} indicates the target scheduling sub-power of the i-th wind power generation device, P _{PV_j} indicates the target scheduling sub-power of the i-th solar power generation device, P _{PV_Nj} indicates the rated power of the j-th solar power generation device, P _{storage_min} indicates the lower limit of the charging/discharging power of the energy storage device, and P _{storage_max} indicates the upper limit of the charging/discharging power of the energy storage device, and P _{storage_k} indicates the target scheduling sub-power of the k-th energy storage device.

The optimization objective function is optimized based on the above constraints, and the target scheduling sub-power of the solar power generation device, wind power generation device, and energy storage device is finally determined, so that each device is powered according to the target scheduling sub-power. This improves the accuracy of allocation to target scheduling instructions.

In this embodiment, a power control device is further provided, and this device is used to realize the above embodiments and preferred embodiments, and the explanation of what has already been described will be omitted. As used below, the term "module" can implement a combination of software and/or hardware of a given functionality. Although the devices described in the following examples are preferably implemented in software, implementations in hardware or a combination of software and hardware are also possible and contemplated.

This embodiment provides a power control device, and as shown in FIG. 6, the device includes a scheduling power acquisition unit for acquiring target scheduling power and a predicted output power value of at least one new energy power generation device. a first scheduling unit for determining a first scheduling power of each new energy power generation device by comparing a predicted output power value of at least one new energy power generation device with a target scheduling power; a second scheduling power determining unit for determining a second scheduling power for each new energy power generating device by adjusting the first scheduling power based on a power limit of each new energy power generating device; a target scheduling determination unit for determining a target scheduling sub-power of each new energy power generation device by adjusting the second scheduling power based on the actual operating state of the new energy power generation device.

In one embodiment, the first scheduling power decision unit comprises:
a first comparison subunit for comparing predicted output power values of each of the new energy power generation devices and determining a target new energy power generation device with the largest predicted output power value;
a first scheduling power determining subunit for comparing a predicted output power value of the target new energy power generating device with the target scheduling power and determining a first scheduling power of each of the new energy power generating devices based on a comparison result; , further including.

In one embodiment, the first scheduling power decision subunit further comprises:
If the predicted output power value of the target new energy power generation device is larger than the target scheduling power, the target new energy power generation device is determined as a new energy power generation device that supplies the target scheduling power, and based on the target scheduling power, determining a first scheduling power of the target new energy power generation device;
If the predicted output power value of the target new energy power generation device is less than or equal to the target scheduling power, comparing the sum of the predicted output power values of each of the new energy power generation devices and the target scheduling power;
If the sum of the output power predicted values of each of the new energy power generation devices is equal to or greater than the target scheduling power, the method is used for determining a first scheduling power of each of the new energy power generation devices based on the target scheduling power. .

In one embodiment, the first scheduling power decision subunit further comprises:
If the sum of the predicted output power values of each of the new energy power generation devices is smaller than the target scheduling power, determining a first scheduling power of each of the new energy power generation devices and the energy storage device based on the target scheduling power; used.

In one embodiment, the second scheduling power decision unit includes:
The optimization goal is to minimize the difference between the second scheduling power and the first scheduling power, and the second scheduling power is optimized based on the power limit of each new energy power generation device, and the second scheduling power is a reference value determination subunit for determining the reference value of;
an update determination sub for determining the first scheduling power after updating of each of the new energy power generation devices by comparing the reference value of the second scheduling power of the at least one new energy power generation device with the target scheduling power; unit and
optimizing the second scheduling power based on the power limit of each of the new energy power generation devices, with an optimization goal that the difference between the second scheduling power and the updated first scheduling power is a minimum; further comprising an optimization subunit of.

In one embodiment, the reference value determining subunit further comprises:
optimizing the second scheduled power based on output limiting constraints, output climbing limiting constraints, and charging/discharging constraints of the energy storage device of the first new energy power generation device and the second new energy power generation device; used.

In one embodiment, the target scheduling decision unit includes:
a subunit that determines an optimization goal for setting the difference between the second scheduling power and the target scheduling sub-power of each of the new energy power generation devices as the minimum as an optimization goal;
By optimizing the optimization target based on the rated power and minimum output power of the first new energy power generation device and the second new energy power generation device, a first target scheduling subunit for determining target scheduling subpower;
further comprising a second target scheduling sub-unit for determining a target scheduling sub-power of the energy storage device by optimizing the optimization target based on upper and lower limits of charge/discharge power of the energy storage device. .

The power control device in this embodiment is embodied in the form of a functional unit, where the unit includes an ASIC circuit, a processor and memory executing one or more software or fixed programs, and/or others capable of providing the above functions. Refers to equipment.

Further functional explanations of each of the above modules are the same as those of the corresponding embodiments above, and will not be described here.

The embodiment of the present invention further provides an electronic device having the power control device shown in FIG. 6 above.

Referring to FIG. 7, FIG. 7 is a structural schematic diagram of an electronic device according to an alternative embodiment of the present invention, as shown in FIG. 7, the electronic device includes at least one processor 601, such as a central processing unit ( a central processing unit (abbreviation CPU), at least one communication interface 603 , a memory 604 , and at least one communication bus 602 . Of these, communication bus 602 is used for communicative connections between these components. The communication interface 603 may include a display and a keyboard, and the communication interface 603 may optionally include a standard wired interface or a wireless interface. Memory 604 may be high speed random access memory (RAM) or non-volatile memory, such as at least one magnetic disk memory. Memory 604 may optionally be at least one storage device remote from processor 601. Processor 601 may be combined with the apparatus described in FIG. 6, with an application program stored in memory 604, and processor 601 recalling the program code stored in memory 604 to perform the steps of any of the methods described above. used for.

Communication bus 602 may be a peripheral component interconnect (PCI) bus, an extended industry standard architecture (EISA) bus, or the like. Communication bus 602 may be divided into an address bus, a data bus, a control bus, etc. For ease of explanation, only one thick line is shown in FIG. 7, but this does not mean that there is only one bus or one type of bus.

Memory 604 may include volatile memory, such as random-access memory (RAM), and non-volatile memory, such as flash memory, hard disk drive, etc. It may include a hard disk drive (abbreviated HDD) or a solid-state hard disk (abbreviated SSD), and may include a combination of the above types of memory.

Processor 601 may be a central processing unit (abbreviation CPU), a network processor (abbreviation NP), or a combination of CPU and NP.

Processor 601 may further include hardware chips. The hardware chip may be an application-specific integrated circuit (ASIC), a programmable logic device (PLD), or a combination thereof. The above PLDs are complex programmable logic devices (CPLD), field-programmable gate arrays (FPGA), generic array logic, abbreviation GAL) or their Any combination may be used.

Optionally, memory 604 is also used to store program instructions. Processor 601 may invoke program instructions to implement the power control methods described in the embodiments herein.

Embodiments of the invention further provide a non-transitory computer storage medium having computer-executable instructions stored thereon, the computer-executable instructions being a power source in an embodiment of any of the methods described above. A control method can be implemented. The storage medium includes a magnetic disk, a compact disk, a read-only memory (ROM), a random access memory (RAM), a flash memory, a hard disk drive, The storage medium may further include a combination of the above types of memory, such as a solid-state hard disk (abbreviation HDD) or a solid-state hard disk (abbreviation SSD).

Although the embodiments of the present invention have been described with reference to the drawings, those skilled in the art can make various changes and modifications without departing from the spirit and scope of the present invention, and all such changes and modifications can be made in the accompanying drawings. falls within the scope defined in the claims.

Claims (8)

A power control method, comprising:
obtaining a target scheduling power;
Obtaining a predicted output power value of at least one new energy power generation device;
determining a first scheduled power of each of the new energy power generation devices by comparing a predicted output power of the at least one new energy power generation device with the target scheduling power;
determining a second scheduled power for each of the new energy power generation devices by adjusting the first scheduled power based on a power limit of each of the new energy power generation devices;
determining a target scheduling sub-power for each of the new energy power generation devices by adjusting the second scheduling power based on the actual operating state of each of the new energy power generation devices;
The step of determining a second scheduled power for each of the new energy power generation devices by adjusting the first scheduled power based on a power limit of each of the new energy power generation devices includes:
Optimizing the second scheduling power based on the power limit of each of the new energy power generation devices, with the optimization goal that the difference between the second scheduling power and the first scheduling power is the smallest, and determining a power reference value;
determining the updated first scheduling power of each new energy power generation device by comparing the reference value of the second scheduling power of the at least one new energy power generation device with the target scheduling power;
optimizing the second scheduling power based on the power limit of each of the new energy power generation devices, with an optimization goal that the difference between the second scheduling power and the updated first scheduling power is a minimum; and,
When the new energy power generation device includes a first new energy power generation device, a second new energy power generation device, and an energy storage device, adjusting the second scheduled power based on the actual operating state of each new energy power generation device. The step of determining the target scheduling sub-power of each new energy power generation device includes:
setting as an optimization goal that the difference between the second scheduling power and the target scheduling sub-power of each of the new energy power generation devices is the minimum for each time interval of one minute or several tens of seconds;
By optimizing the optimization target based on the rated power and minimum output power of the first new energy power generation device and the second new energy power generation device, the first new energy power generation device and the second new energy power generation device determining a target scheduling sub-power for the device;
determining a target scheduling sub-power of the energy storage device by optimizing the optimization target based on upper and lower limits of charge/discharge power of the energy storage device;
When the first new energy power generation device is a wind power generation device and the second new energy power generation device is a solar power generation device, the difference between the second scheduling power of each new energy power generation device and the target scheduling sub power is In the step of setting the optimization goal to be the minimum, the optimization goal is:
(However, P _{wind_ref} , P _{PV_ref} , and P _{storage_ref} indicate the second scheduling power of the wind power generation device, the solar power generation device, and the energy storage device, respectively, and P _{wind_i} , P _{PV_j} , and P _{storage_k} each indicate the second scheduling power of the i-th The target scheduling sub-powers of the wind power generation device, the j-th solar power generation device, and the k-th energy storage device are shown, and N _wind , N _PV , and N _storage are the wind power generation device, the solar power generation device, and the k-th energy storage device, respectively. (indicating the number of energy storage devices). The step of determining a first scheduled power of each new energy power generation device by comparing a predicted output power value of the at least one new energy power generation device with the target scheduling power,
Comparing predicted output power values of each of the new energy power generation devices and determining a target new energy power generation device with the largest predicted output power value;
The method is characterized by comprising the step of comparing a predicted output power value of the target new energy power generation device and the target scheduling power, and determining a first scheduling power of each of the new energy power generation devices based on the comparison result. The power control method according to claim 1. The step of comparing the predicted output power of the target new energy power generation device with the target scheduling power and determining the first scheduling power of each of the new energy power generation devices based on the comparison result,
If the predicted output power value of the target new energy power generation device is larger than the target scheduling power, the target new energy power generation device is determined as a new energy power generation device that supplies the target scheduling power, and based on the target scheduling power, determining a first scheduling power of the target new energy power generation device;
If the predicted output power value of the target new energy power generation device is less than or equal to the target scheduling power, comparing the sum of the predicted output power values of each of the new energy power generation devices and the target scheduling power;
If the sum of predicted output power values of each of the new energy power generation devices is equal to or greater than the target scheduling power, the method further comprises: determining a first scheduling power of each of the new energy power generation devices based on the target scheduling power. The power control method according to claim 2, characterized in that: The step of comparing the sum of predicted output power values of each of the new energy power generation devices and the target scheduling power,
If the sum of the predicted output power values of each of the new energy power generation devices is smaller than the target scheduling power, determining a first scheduling power of each of the new energy power generation devices and the energy storage device based on the target scheduling power. The power control method according to claim 3, further comprising:. If the new energy power generation device includes a first new energy power generation device, a second new energy power generation device, and an energy storage device, the step of optimizing the second scheduled power based on a power limit of each new energy power generation device. teeth,
optimizing the second scheduled power based on the output limiting constraints of the first new energy power generating device and the second new energy generating device, the output climbing limiting constraint, and the charging/discharging constraint conditions of the energy storage device; The power control method according to claim 1, further comprising: A power control device,
a scheduling power acquisition unit for acquiring target scheduling power;
an output power determination unit for obtaining a predicted output power value of at least one new energy power generation device;
a first scheduling power determination unit for determining a first scheduling power of each of the new energy power generation devices by comparing a predicted output power of the at least one new energy power generation device with the target scheduling power;
a second scheduling power determining unit for determining a second scheduling power of each of the new energy power generation devices by adjusting the first scheduling power based on a power limit of each of the new energy power generation devices;
a target scheduling determination unit for determining a target scheduling sub-power of each of the new energy power generation devices by adjusting the second scheduling power based on the actual operating state of each of the new energy power generation devices;
the second scheduling power determining unit for determining the second scheduling power of each of the new energy power generation devices by adjusting the first scheduling power based on the power limit of each of the new energy power generation devices;
Optimizing the second scheduling power based on the power limit of each of the new energy power generation devices, with the optimization goal that the difference between the second scheduling power and the first scheduling power is the smallest, and a reference value determination subunit for determining a power reference value;
update determination for determining the first scheduled power after updating of each of the new energy power generation devices by comparing the reference value of the second scheduling power of the at least one new energy power generation device with the target scheduling power; subunit and
optimizing the second scheduling power based on the power limit of each of the new energy power generation devices, with an optimization goal that the difference between the second scheduling power and the updated first scheduling power is a minimum; an optimization subunit of
When the new energy power generation device includes a first new energy power generation device, a second new energy power generation device, and an energy storage device, adjusting the second scheduled power based on the actual operating state of each new energy power generation device. and the target scheduling determining unit for determining the target scheduling sub-power of each of the new energy power generation devices,
Determining an optimization goal to minimize the difference between the second scheduling power and the target scheduling sub-power of each of the new energy power generation devices at each time interval of one minute or several tens of seconds. subunit and
By optimizing the optimization target based on the rated power and minimum output power of the first new energy power generation device and the second new energy power generation device, the first new energy power generation device and the second new energy power generation device a first target scheduling subunit for determining a target scheduling subpower of the device;
a second target scheduling subunit for determining a target scheduling subpower of the energy storage device by optimizing the optimization target based on upper and lower limits of charge/discharge power of the energy storage device;
When the first new energy power generation device is a wind power generation device and the second new energy power generation device is a solar power generation device, the difference between the second scheduling power of each new energy power generation device and the target scheduling sub power is In the subunit for determining the optimization goal for the optimization goal to be the minimum, the optimization goal is:
(However, P _{wind_ref} , P _{PV_ref} , and P _{storage_ref} indicate the second scheduling power of the wind power generation device, the solar power generation device, and the energy storage device, respectively, and P _{wind_i} , P _{PV_j} , and P _{storage_k} each indicate the second scheduling power of the i-th The target scheduling sub-powers of the wind power generation device, the j-th solar power generation device, and the k-th energy storage device are shown, and N _wind , N _PV , and N _storage are the wind power generation device, the solar power generation device, and the k-th energy storage device, respectively. (indicating the number of energy storage devices). comprising a memory and a processor communicatively connected to each other, wherein computer instructions are stored in the memory, and the processor executes the computer instructions to generate a power source according to any one of claims 1 to 5. An electronic device characterized by executing a control method. A computer-readable storage medium storing computer instructions for causing a computer to execute the power control method according to any one of claims 1 to 5.