CN114066329A - Application scheduling method, device and medium based on energy storage network construction capability assessment - Google Patents
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Abstract
The invention discloses an application scheduling method, equipment and a medium based on energy storage network construction capability evaluation, wherein the method comprises the following steps: acquiring relevant parameters of all energy storage devices participating in scheduling to calculate each networking capability index of each energy storage device in a networking capability evaluation model, and further calculating the active supporting capability and the reactive supporting capability of each energy storage device; sequencing all the energy storage devices according to active support capacity and sequencing according to reactive support capacity, and correspondingly setting active scheduling operation plans and reactive scheduling operation plans of all the energy storage devices based on the application requirements of the power grid; and according to the instructions of the active and reactive power dispatching operation plans, the active power output control and the reactive power output control of each dispatching energy storage device are completed through the PCS device, so that the active and reactive power support of the power grid is realized. The invention provides a voltage source and frequency support for a large power grid, alleviates the problems of stability of transient voltage, frequency and the like of a power system and improves the application value of an energy storage power grid.
Description
Technical Field
The invention belongs to the field of power grid energy storage scheduling, and particularly relates to an application scheduling method, equipment and medium based on energy storage network construction capability evaluation.
Background
The electric power safety problem is increasingly prominent due to the improvement of the electric energy ratio of the production side and the consumption side under the double-carbon target, and the construction of a novel electric power system taking new energy as a main body becomes a necessary way, wherein the energy storage technology becomes an important support.
The carbon neutralization target is provided, so that a plurality of opportunities and challenges are brought to energy transformation, wherein the development and utilization of clean new energy such as wind power, photovoltaic and the like are important links for realizing the carbon neutralization target. Most of new energy power generation equipment has prominent current characteristics, system voltage stability problems and the like. Because the energy storage has active and reactive four-quadrant operation capability, the technical advantages of the energy storage are widely concerned. Advanced energy storage technology can support clean energy consumption, remodels photovoltaic power generation, wind power generation's external characteristic through the energy storage configuration, reduces photovoltaic and wind-powered electricity generation's output volatility, intermittent type nature to the impact of electric wire netting, through supporting promotion electric wire netting stability to the electric wire netting.
Disclosure of Invention
The invention provides an application scheduling method, equipment and medium based on energy storage network construction capability evaluation, which are used for evaluating the network construction capability of energy storage equipment from two aspects of active support capability and reactive support capability of the energy storage equipment, and scheduling and applying the energy storage equipment according to a performance sequence, thereby improving the application value of an energy storage power grid and promoting the safe and stable operation of the power grid.
In order to achieve the technical purpose, the invention adopts the following technical scheme:
an application scheduling method based on energy storage network construction capability assessment comprises the following steps:
step 1, acquiring equipment parameters and working parameters of all energy storage equipment participating in scheduling;
step 2, calculating various networking capability indexes of each energy storage device in the networking capability evaluation model according to the device parameters and the working parameters of the energy storage devices, and further calculating the active supporting capability and the reactive supporting capability of each energy storage device;
step 3, sequencing all the energy storage devices according to active supporting capacity and sequencing according to reactive supporting capacity, and correspondingly setting active scheduling operation plans and reactive scheduling operation plans of all the energy storage devices based on the application requirements of the power grid;
and 4, according to the instruction of the active dispatching operation plan and the instruction of the reactive dispatching operation plan, finishing active output control and reactive output control of each dispatching energy storage device through the PCS device, and realizing active and reactive support of the power grid.
Further, network construction capability indexes in the network construction capability evaluation model comprise a commonality index and a characteristic index; wherein, the common indexes comprise: regulating the rate D1Response rate D2And adjustment accuracy D3(ii) a The characteristic indexes are divided into active dynamic indexes and reactive dynamic indexes, and the active dynamic indexes comprise active available capacity QactiveAnd active available power PactiveThe reactive dynamic index comprises the reactive available capacity QreactiveAnd reactive available power Preactive。
Further, the calculation of the adjustment rate is:
D1＝V/Vref；
in the formula, V is the regulating rate of the energy storage device; vrefAdjusting the rate for the criteria of the energy storage device; (ii) a
The response rate is calculated as:
D2＝1-Tres/(5min)
in the formula, TresIs the response time of the energy storage device;
the calculation formula of the adjustment precision is as follows:
D3＝1-(|Pres-Pins|)/Pall
in the formula, PresFor the actual regulation of the output, P, of the energy storage unitinsAdjusting an output instruction value received for the energy storage device; pallThe tolerance for the energy storage device.
Further, the method for calculating the active support capacity of the energy storage device comprises the following steps:
Ractive＝a4×(a1×D1+a2×D2+a3×D3)+a5×(a6×Qactive+a7×Pactive)
in the formula, RactiveFor the active supporting capacity of the energy storage device, a1,a2,a3,a4,a5,a6,a7Are all coefficients.
Further, the method for calculating the reactive support capability of the energy storage device comprises the following steps:
Rreactive＝b4×(b1×D1+b2×D2+b3×D3)+b5×(b6×Qreactive+b7×Preactive)
in the formula, RreactiveFor the reactive support capability of the energy storage device, b1,b2,b3,b4,b5,b6,b7Are all coefficients.
Further, the setting method of the active power dispatching operation plan and the reactive power dispatching operation plan comprises the following steps: sequentially carrying out active scheduling on the energy storage devices according to the sequence of the active supporting capacity of the energy storage devices from large to small; and sequentially carrying out reactive scheduling on the energy storage equipment according to the sequence of the reactive support capacity of the energy storage equipment from large to small.
An electronic device includes a memory and a processor, where the memory stores a computer program, and when the computer program is executed by the processor, the processor implements the application scheduling method based on energy storage fabric capability evaluation according to any of the above technical solutions.
A computer readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the application scheduling method based on energy storage fabric capability evaluation according to any of the above technical solutions.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, the energy storage active power and reactive power four-quadrant control capability is utilized, and the energy storage networking capability evaluation model is established, so that the whole-process voltage source support and frequency support are provided for the large power grid from the aspects of energy storage participation in power grid active regulation and power grid reactive regulation, the stability problems of transient voltage, frequency and the like of the operation of the power system are relieved, the new energy accepting capability is effectively improved, the stability capability construction and supporting functions of the power grid are completed and realized, and the safety and stable operation margin of the power grid is improved. The method can improve the safe and stable operation capability of the power grid, and simultaneously provides further support for the excavation of the operation scene of energy storage, and promotes the realization of the double-carbon target.
Drawings
Fig. 1 is a flowchart of an application scheduling method based on energy storage networking capability evaluation according to an embodiment of the present invention;
FIG. 2 is a model for evaluating networking capability in the method according to the embodiment of the present invention;
fig. 3 is a composition diagram of a networking capability index in the method according to the embodiment of the present invention.
Detailed Description
The following describes embodiments of the present invention in detail, which are developed based on the technical solutions of the present invention, and give detailed implementation manners and specific operation procedures to further explain the technical solutions of the present invention.
The main ideas of the invention are as follows: according to the method, through establishing a network construction capability evaluation model of energy storage, the four-quadrant control capability of energy storage active power and reactive power is utilized from the aspects of energy storage participation in power grid active power regulation and power grid reactive power regulation, voltage source support and frequency support in the whole process are provided for a large power grid, the stability problems of transient voltage, frequency and the like of power system operation are relieved, the new energy accepting capability is effectively improved, the construction and supporting functions of the stability capability of the power grid are completed and realized, and the margin of safe and stable operation of the power grid is improved.
The embodiment provides an application scheduling method based on energy storage networking capability evaluation, as shown in fig. 1, including the following steps:
step 1, acquiring device parameters and working parameters of all energy storage devices participating in scheduling, comprising: the regulation rate of the energy storage equipment, the response time of the energy storage equipment, the actual regulation output of the energy storage equipment and the regulation output instruction value received by the energy storage equipment in a factory experiment, the active available capacity, the active available power, the reactive available capacity and the reactive available power.
And 2, calculating various network construction capability indexes of each energy storage device in the network construction capability evaluation model according to the device parameters and the working parameters of the energy storage devices, and further calculating the active supporting capability and the reactive supporting capability of each energy storage device.
The networking capability evaluation model in this embodiment includes two types, i.e., a commonality indicator and a feature indicator. As shown in fig. 2 and 3, the common indicators include: regulating the rate D1Response rate D2And adjustment accuracy D3(ii) a The characteristic indexes are divided into active dynamic indexes and reactive dynamic indexes, and the active dynamic indexes comprise active available capacity QactiveAnd active available power PactiveThe reactive dynamic index comprises the reactive available capacity QreactiveAnd reactive available power Preactive. The introduction of each networking capability evaluation index is as follows:
(1) the general index is as follows: regulating the rate D1Response rateD2And adjustment accuracy D3The calculation formula is respectively:
D1＝V/Vref
D2＝1-Tres/(5min)
D3＝1-(|Pres-Pins|)/Pall
in the formula, V is the regulating rate of the energy storage device; vrefAdjusting the rate for the criteria of the energy storage device; t isresFor the response time of the energy storage device, the response rate D25min in the calculation formula means 5 min; presFor the actual regulation of the output, P, of the energy storage unitinsFor regulating the output command value, P, received by the energy storage deviceallThe allowable error of the output of the energy storage device is 1.5%.
(2) Active dynamic index: active available capacity QactiveAnd active available power Pactive
Active available capacity Qactive: the rated capacity of the energy storage equipment can be directly obtained through an equipment nameplate or parameters;
active available power Pactive: the rated power of the energy storage equipment can be directly obtained through an equipment nameplate or parameters;
the active dynamic index can be calculated from the active available capacity and the active available power as follows: α ═ a6×Qactive+a7×PactiveWherein a is6,a7Are all coefficients.
(3) Reactive dynamic index: reactive available capacity QreactiveAnd reactive available power Preactive
Reactive available capacity Qreactive: is the available reactive capacity of the energy storage device;
reactive available power Preactive: is the available reactive power of the energy storage device;
the reactive dynamic index can be calculated by the reactive available capacity and the reactive available power, and the reactive dynamic index is as follows: b ═ b6×Qreactive+b7×PreactiveWherein b is6,b7Are all coefficients.
After obtaining each grid-building capability index, the evaluation indexes of the active supporting capability and the reactive supporting capability of each energy storage device can be further calculated as follows:
Ractive＝a4×(a1×D1+a2×D2+a3×D3)+a5×α
Rreactive＝b4×(b1×D1+b2×D2+b3×D3)+b5×β
in the formula, a1,a2,a3,a4,a5And b1,b2,b3,b4,b5Are all coefficients.
And 3, sequencing all the energy storage devices according to the active supporting capacity and the reactive supporting capacity, and correspondingly setting the active dispatching operation plan and the reactive dispatching operation plan of all the energy storage devices based on the application requirements of the power grid.
The setting method of the active dispatching operation plan and the reactive dispatching operation plan comprises the following steps: and according to the sequence from large to small of the active support capacity of the energy storage equipment and the sequence from large to small of the reactive support capacity of the energy storage equipment, active scheduling and reactive scheduling can be sequentially carried out on each energy storage equipment based on the application requirement of the power grid.
And 4, according to the instruction of the active dispatching operation plan and the instruction of the reactive dispatching operation plan, the active output control and the reactive output control of each dispatching energy storage device are completed through the PCS device, active and reactive support to the power grid is realized, the network construction effect is realized, and the operation stability of the power grid is improved.
The above embodiments are preferred embodiments of the present application, and those skilled in the art can make various changes or modifications without departing from the general concept of the present application, and such changes or modifications should fall within the scope of the claims of the present application.
Claims (8)
1. An application scheduling method based on energy storage network construction capability assessment is characterized by comprising the following steps:
step 1, acquiring equipment parameters and working parameters of all energy storage equipment participating in scheduling;
step 2, calculating various networking capability indexes of each energy storage device in the networking capability evaluation model according to the device parameters and the working parameters of the energy storage devices, and further calculating the active supporting capability and the reactive supporting capability of each energy storage device;
step 3, sequencing all the energy storage devices according to active supporting capacity and sequencing according to reactive supporting capacity, and correspondingly setting active scheduling operation plans and reactive scheduling operation plans of all the energy storage devices based on the application requirements of the power grid;
and 4, according to the instruction of the active dispatching operation plan and the instruction of the reactive dispatching operation plan, finishing active output control and reactive output control of each dispatching energy storage device through the PCS device, and realizing active and reactive support of the power grid.
2. The application scheduling method based on energy storage network construction capability assessment according to claim 1, wherein the network construction capability indexes in the network construction capability assessment model comprise two types of common indexes and characteristic indexes; wherein, the common indexes comprise: regulating the rate D1Response rate D2And adjustment accuracy D3(ii) a The characteristic indexes are divided into active dynamic indexes and reactive dynamic indexes, and the active dynamic indexes comprise active available capacity QactiveAnd active available power PactiveThe reactive dynamic index comprises the reactive available capacity QreactiveAnd reactive available power Preactive。
3. The application scheduling method based on energy storage network deployment capability assessment according to claim 2, wherein the calculation formula of the regulation rate is as follows:
D1＝V/Vref；
in the formula, V is the regulating rate of the energy storage device; vrefAdjusting the rate for the criteria of the energy storage device;
the response rate is calculated as:
D2＝1-Tres/(5min)
in the formula, TresIs the response time of the energy storage device;
the calculation formula of the adjustment precision is as follows:
D3＝1-(|Pres-Pins|)/Pall
in the formula, PresFor the actual regulation of the output, P, of the energy storage unitinsAdjusting an output instruction value received for the energy storage device; pallThe tolerance for the energy storage device.
4. The application scheduling method based on energy storage network deployment capability assessment according to claim 2, characterized in that the calculation method of the active support capability of the energy storage device is as follows:
Ractive＝a4×(a1×D1+a2×D2+a3×D3)+a5×(a6×Qactive+a7×Pactive)
in the formula, RactiveFor the active supporting capacity of the energy storage device, a1,a2,a3,a4,a5,a6,a7Are all coefficients.
5. The application scheduling method based on energy storage network deployment capability assessment according to claim 2, characterized in that the calculation method of the reactive support capability of the energy storage equipment is as follows:
Rreactive＝b4×(b1×D1+b2×D2+b3×D3)+b5×(b6×Qreactive+b7×Preactive)
in the formula, RreactiveFor the reactive support capability of the energy storage device, b1,b2,b3,b4,b5,b6,b7Are all coefficients.
6. The application scheduling method based on energy storage network deployment capability assessment according to claim 2, characterized in that the setting method of the active scheduling operation plan and the reactive scheduling operation plan is as follows: sequentially carrying out active scheduling on the energy storage devices according to the sequence of the active supporting capacity of the energy storage devices from large to small; and sequentially carrying out reactive scheduling on the energy storage equipment according to the sequence of the reactive support capacity of the energy storage equipment from large to small.
7. An electronic device comprising a memory and a processor, the memory having stored therein a computer program, wherein the computer program, when executed by the processor, causes the processor to implement the method of any of claims 1-6.
8. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the method according to any one of claims 1 to 6.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114640141A (en) * | 2022-05-17 | 2022-06-17 | 浙江大学 | Network-building type fan control method for offshore wind power diode rectification unit sending-out system |
| US11641109B2 (en) | 2022-05-17 | 2023-05-02 | Zhejiang University | Grid-forming wind turbine control method for diode rectifier unit-based offshore wind power transmission system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114640141A (en) * | 2022-05-17 | 2022-06-17 | 浙江大学 | Network-building type fan control method for offshore wind power diode rectification unit sending-out system |
| CN114640141B (en) * | 2022-05-17 | 2022-08-05 | 浙江大学 | Network-building type fan control method for offshore wind power diode rectification unit sending-out system |
| US11641109B2 (en) | 2022-05-17 | 2023-05-02 | Zhejiang University | Grid-forming wind turbine control method for diode rectifier unit-based offshore wind power transmission system |
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