CN112632853A - Virtual power plant distributed control device - Google Patents
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Abstract
The invention discloses a distributed control device of a virtual power plant, which comprises: a distributed device; the constraint condition component unit is used for constructing a constraint condition of the distributed equipment and obtaining net input power of the distributed equipment at each node; the data set unit is used for obtaining an output range of external output power of the virtual power plant according to the constraint conditions and the net input power, and selecting power generation cost data with different output power in the output range to construct a fitting data set; a calculation unit that calculates a unit cost of each distributed device; the cost obtaining unit is used for performing function fitting on the fitting data set according to the unit cost of each distributed device and by combining the functional relation of the output power and the power generation cost to obtain the power generation cost of the virtual power plant at each moment; and the scheduling unit is used for controlling the output of the distributed equipment according to the power generation cost of the virtual power plant at each moment. The invention can accurately calculate the power generation cost and control the operation of the distributed equipment according to the parameter corresponding to the lowest cost.
Description
Technical Field
The invention relates to the technical field of control devices, in particular to a distributed control device of a virtual power plant.
Background
The virtual power plant organically combines a distributed generator set, a controllable load and a distributed energy storage facility, and integrates and controls various distributed devices through a regulation and control technology and communication calculation. However, in actual operation, the control of the power generation equipment by the control center becomes extremely difficult because of the large number of distributed equipment with different characteristics and distributed distribution in the power distribution network.
In the industry, some scheduling methods based on multi-virtual power plant joint optimization calculate the power generation cost by establishing a nonlinear model for optimizing scheduling by constraining conventional units, energy storage machines, gas engines and the like. However, the method does not consider the operation constraints of various power generation devices in the virtual power plant, so that the method has the problem of low calculation accuracy of the power generation cost, and is difficult to operate according to the lowest power generation cost.
Disclosure of Invention
The invention aims to provide a distributed control device of a virtual power plant, which can overcome the defect of low cost calculation precision of the virtual power plant in the prior art, can accurately calculate the power generation cost and control the operation of distributed equipment according to a parameter corresponding to the lowest cost.
In order to achieve the purpose, the technical scheme of the invention is as follows: the invention provides a distributed control device of a virtual power plant, which comprises: a distributed device; the constraint condition component unit is connected with the distributed equipment and used for constructing constraint conditions of the distributed equipment of the virtual power plant and obtaining net input power of the distributed equipment at each node through the position of the distributed equipment in the node; the data set unit is connected with the constraint condition component unit, obtains an output range of external output power of the virtual power plant according to the constraint condition and the net input power provided by the constraint condition component unit, and selects power generation cost data with different output power in the output range to construct a fitting data set; the calculating unit is connected with the distributed equipment and used for calculating the unit cost of each distributed equipment; the cost obtaining unit is connected with the data set unit and the calculating unit, and performs function fitting on a fitting data set constructed by the data set unit according to the unit cost of each distributed device calculated by the calculating unit and by combining the functional relation of output power and power generation cost to obtain the power generation cost of the virtual power plant at each moment; and the scheduling unit is used for controlling the output of the distributed equipment of the virtual power plant according to the power generation cost obtained by the cost obtaining unit.
The parameters of the distributed device include one or more of power, capacity, time, voltage, and current.
The calculating unit calculates the unit cost of each distributed device by acquiring parameters input into the distributed devices of the virtual power plant.
The constraint conditions include: and outputting the maximum value and the minimum value of active power and the maximum value and the minimum value of reactive power.
The data set unit is used for establishing a power generation cost model according to the power generation cost of each distributed device under different output power.
The data set unit is used for obtaining the minimum operation cost by constructing and solving an optimization problem, and obtaining a corresponding output power-power generation cost point according to the minimum operation cost so as to construct a fitting data set.
The functional relation of the output power and the power generation cost is determined by the operation scene of the distributed equipment; the operation scene of the distributed equipment is obtained by predicting the output curve of the distributed equipment through a pre-established neural network model; the neural network model is built by preprocessing input and output historical data and network training the historical data as a training set.
Furthermore, the virtual power plant distributed control device further comprises a communication unit connected with the scheduling unit and used for information bidirectional intercommunication with each distributed device.
Compared with the prior art, the invention has the following beneficial effects: according to the method, the unit cost of each distributed energy source can be accurately calculated by inputting parameters such as power, capacity, time, voltage and current of the distributed equipment of the virtual power plant; and according to the dispatching instruction of the master control station, the electric power output of the distributed energy is dispatched by taking the lowest electricity utilization cost as an index.
Drawings
Fig. 1 is a block diagram of a virtual power plant distributed control apparatus according to an embodiment of the present invention.
Detailed Description
The technical contents, construction features, and objects and functions achieved by the present invention will be described in detail by embodiments with reference to the accompanying drawings.
As shown in fig. 1, which is a block diagram of a virtual power plant distributed control apparatus according to an embodiment of the present invention, the virtual power plant distributed control apparatus provided by the present invention includes: a distributed device 7; the constraint condition component unit 1 is connected with the distributed equipment 7 and used for constructing constraint conditions of the distributed equipment 7 of the virtual power plant and obtaining net input power of the distributed equipment 7 at each node through the positions of the distributed equipment 7 in the nodes; the data set unit 2 is connected with the constraint condition component unit 1, obtains an output range of external output power of the virtual power plant according to the constraint condition and the net input power provided by the constraint condition component unit 1, and selects power generation cost data with different output power in the output range to construct a fitting data set; the computing unit 5 is connected with the distributed devices 7 and used for acquiring parameters input into the distributed devices 7 of the virtual power plant and computing unit cost of each distributed device 7; the cost obtaining unit 3 is connected with the data set unit 2 and the calculating unit 5, and performs function fitting on a fitting data set constructed by the data set unit 2 according to the unit cost of each distributed device 7 calculated by the calculating unit 5 and by combining the functional relation of output power and power generation cost to obtain the power generation cost of the virtual power plant at each moment; the scheduling unit 4 is connected with the cost obtaining unit 3 and is used for controlling the output of the distributed equipment 7 of the virtual power plant according to the power generation cost obtained by the cost obtaining unit 3; and the communication unit 6 is connected with the scheduling unit 4 and is used for bidirectional information intercommunication with each distributed device 7.
Wherein the distributed device 7 comprises: power generation equipment, energy storage equipment, inverter equipment.
Wherein the constraint conditions constructed by the constraint condition component unit 1 include: and outputting the maximum value and the minimum value of active power and the maximum value and the minimum value of reactive power.
The data set unit 2 strives to achieve the value maximization of the virtual power plant by constructing and solving an optimization problem so as to obtain the minimum operation cost, the data set unit 2 obtains an output range of external output power of the virtual power plant according to the constraint conditions and the net input power provided by the constraint condition component unit 1, and obtains a corresponding output power-power generation cost point in the output range according to the minimum operation cost so as to construct a fitting data set.
The functional relation between the output power and the power generation cost is determined by the operation scene of the distributed equipment 7, and the operation scene of the distributed equipment 7 is obtained by predicting the output curve of the distributed equipment through a pre-established neural network model. Specifically, the neural network model is built by preprocessing input and output historical data and performing network training by using the historical data as a training set.
The parameters of the distributed devices 7 of the virtual power plant in the invention comprise one or more of power, capacity, time, voltage and current.
In conclusion, the unit cost of each distributed energy source is calculated by inputting parameters such as power, capacity, time, voltage, current and the like of the distributed equipment 7 of the virtual power plant; and the electric power output of the distributed energy is scheduled by taking the lowest power consumption cost as an index according to the scheduling instruction of the master control station, so that the method has the technical advantages and the popularization value.
While the present invention has been described in detail with reference to the preferred embodiments, it should be understood that the above description should not be taken as limiting the invention. Various modifications and alterations to this invention will become apparent to those skilled in the art upon reading the foregoing description. Accordingly, the scope of the invention should be determined from the following claims.
Claims (10)
1. A virtual plant distributed control apparatus, comprising: a distributed device; the constraint condition component unit is connected with the distributed equipment and used for constructing constraint conditions of the distributed equipment of the virtual power plant and obtaining net input power of the distributed equipment at each node through the position of the distributed equipment in the node; the data set unit is connected with the constraint condition component unit, obtains an output range of external output power of the virtual power plant according to the constraint condition and the net input power provided by the constraint condition component unit, and selects power generation cost data with different output power in the output range to construct a fitting data set; the calculating unit is connected with the distributed equipment and used for calculating the unit cost of each distributed equipment; the cost obtaining unit is connected with the data set unit and the calculating unit, and performs function fitting on a fitting data set constructed by the data set unit according to the unit cost of each distributed device calculated by the calculating unit and by combining the functional relation of output power and power generation cost to obtain the power generation cost of the virtual power plant at each moment; and the scheduling unit is connected with the cost obtaining unit and used for controlling the output of the distributed equipment of the virtual power plant according to the power generation cost obtained by the cost obtaining unit.
2. The virtual plant distributed control apparatus of claim 1, wherein the parameters of the distributed devices include one or more of power, capacity, time, voltage, and current.
3. The virtual power plant distributed control apparatus according to claim 2, wherein the calculating unit calculates the unit cost of each distributed device by obtaining parameters input to the virtual power plant distributed devices.
4. The virtual plant distributed control apparatus of claim 1, wherein the constraint condition comprises: and outputting the maximum value and the minimum value of active power and the maximum value and the minimum value of reactive power.
5. The virtual power plant distributed control apparatus of claim 4, wherein the data set unit is configured to model the cost of power generation by generating cost from each distributed device at different output powers.
6. The virtual power plant distributed control apparatus of claim 5, wherein the data set unit is configured to construct the fitting data set by constructing an optimization problem and solving the optimization problem to obtain a minimum operating cost and obtaining corresponding output power-generation cost points according to the minimum operating cost.
7. The virtual power plant distributed control apparatus of claim 1, wherein the functional relationship between the output power and the power generation cost is determined by the operation scenario of the distributed equipment.
8. The virtual power plant distributed control apparatus of claim 7, wherein the operation scenario of the distributed devices is obtained by predicting the output curve of the distributed devices through a pre-established neural network model.
9. The virtual plant distributed control apparatus of claim 8, wherein the neural network model is created by preprocessing input and output historical data and network training the historical data as a training set.
10. The virtual power plant distributed control apparatus according to claim 1, further comprising a communication unit connected to the scheduling unit for bi-directional communication of information between each distributed device.
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| CN202011479371.4A CN112632853A (en) | 2020-12-15 | 2020-12-15 | Virtual power plant distributed control device |
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110266038A (en) * | 2019-05-28 | 2019-09-20 | 广东电网有限责任公司电力调度控制中心 | A kind of more virtual plant distributed coordination regulation methods |
| CN111523947A (en) * | 2020-06-01 | 2020-08-11 | 广东电网有限责任公司 | Virtual power plant power generation cost generation method |
| CN111667109A (en) * | 2020-05-29 | 2020-09-15 | 国网冀北电力有限公司计量中心 | Output control method and device of virtual power plant |
| US20200373759A1 (en) * | 2019-05-26 | 2020-11-26 | Battelle Memorial Institute | Coordinated voltage control and reactive power regulation between transmission and distribution systems |
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- 2020-12-15 CN CN202011479371.4A patent/CN112632853A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20200373759A1 (en) * | 2019-05-26 | 2020-11-26 | Battelle Memorial Institute | Coordinated voltage control and reactive power regulation between transmission and distribution systems |
| CN110266038A (en) * | 2019-05-28 | 2019-09-20 | 广东电网有限责任公司电力调度控制中心 | A kind of more virtual plant distributed coordination regulation methods |
| CN111667109A (en) * | 2020-05-29 | 2020-09-15 | 国网冀北电力有限公司计量中心 | Output control method and device of virtual power plant |
| CN111523947A (en) * | 2020-06-01 | 2020-08-11 | 广东电网有限责任公司 | Virtual power plant power generation cost generation method |
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