An application scheduling method, device and medium based on energy storage network capability evaluation

Abstract

The present invention discloses an application scheduling method, device and medium based on energy storage network capability assessment, the method is: obtain relevant parameters of all energy storage devices involved in scheduling, calculate various network capability indicators of each energy storage device in the network capability assessment model, and then calculate the active support capability and reactive support capability of each energy storage device; sort all energy storage devices by active support capability and reactive support capability, and set active scheduling operation plan and reactive scheduling operation plan for all energy storage devices accordingly based on the application requirements of the power grid; according to the instructions of the active and reactive scheduling operation plan, complete the active output control and reactive output control of each scheduling energy storage device through the PCS device, and realize the active and reactive support of the power grid. The present invention provides voltage source and frequency support for large power grids, alleviates the stability problems of transient voltage, frequency and other issues of the power system, and improves the application value of energy storage power grids.

Description

Technical Field

[0001] The present invention belongs to the field of power grid energy storage dispatching, and specifically relates to an application dispatching method, equipment and medium based on energy storage network capability evaluation. Background Art

[0002] With the increase in the proportion of electricity on the production and consumption sides under the dual carbon goals, the issue of electricity security has become increasingly prominent. It has become an inevitable path to build a new power system with new energy as the main body, among which energy storage technology will become an important support.

[0003] The proposal of the "carbon neutrality" goal has brought many opportunities and challenges to the energy transformation. Among them, the development and utilization of clean new energy such as wind power and photovoltaics is an important part of achieving the "carbon neutrality" goal. Most new energy power generation equipment has prominent problems such as current characteristics and system voltage stability. Since energy storage has the ability to operate in four quadrants of active and reactive power, its technical advantages have received widespread attention. Advanced energy storage technology can support the consumption of clean energy, reshape the external characteristics of photovoltaic power generation and wind power generation through energy storage configuration, reduce the impact of photovoltaic and wind power output volatility and intermittentity on the power grid, and improve the stability of the power grid through support for the power grid. Summary of the invention

[0004] The present invention provides an application scheduling method, device and medium based on energy storage networking capability evaluation, which evaluates the networking capability of energy storage equipment from two aspects: active support capability and reactive support capability of energy storage equipment, and schedules and applies energy storage equipment in order of performance, thereby improving the application value of energy storage power grid and promoting safe and stable operation of power grid.

[0005] In order to achieve the above technical objectives, the present invention adopts the following technical solutions:

[0006] An application scheduling method based on energy storage network capability evaluation includes:

[0007] Step 1, obtaining equipment parameters and operating parameters of all energy storage devices involved in the scheduling;

[0008] Step 2: Calculate various network capability indicators of each energy storage device in the network capability evaluation model according to the device parameters and working parameters of the energy storage device, and then calculate the active support capacity and reactive support capacity of each energy storage device;

[0009] Step 3: sort all energy storage devices by active support capacity and reactive support capacity, and set active dispatching operation plan and reactive dispatching operation plan for all energy storage devices accordingly based on the application requirements of the power grid;

[0010] Step 4: According to the instructions of the active dispatching operation plan and the instructions of the reactive dispatching operation plan, the active output control and reactive output control of each dispatching energy storage device are completed through the PCS equipment to achieve active and reactive support for the power grid.

[0011] Furthermore, the networking capability indicators in the networking capability evaluation model include two types: common indicators and characteristic indicators. Among them, the common indicators include: adjustment rate D 1 , response rate D 2 And adjustment accuracy D 3 ; The characteristic indicators are divided into active dynamic indicators and reactive dynamic indicators. Active dynamic indicators include active available capacity Q active and active available power P active , reactive dynamic indicators include reactive available capacity Q reactive and reactive power P reactive .

[0012] Furthermore, the calculation formula for adjusting the rate is:

[0013] D 1 =V / V ref ;

[0014] Where V is the regulation rate of the energy storage device; V ref Standard regulation rate for energy storage equipment;

[0015] The response rate is calculated as:

[0016] D 2 =1-T res / (5min)

[0017] Where, T res is the response time of the energy storage device;

[0018] The calculation formula for adjustment accuracy is:

[0019] D 3 =1-(|P res -P ins |) / P all

[0020] Where P res P is the actual output adjustment of the energy storage equipment unit. ins P is the output adjustment command value received by the energy storage device; all It is the allowable error of the output of energy storage equipment.

[0021] Furthermore, the calculation method of the active support capacity of the energy storage device is:

[0022] R active =a 4 ×(a1 ×D 1 +a 2 ×D 2 +a 3 ×D 3 )+a 5 ×(a 6 ×Q active +a 7 ×P active )

[0023] In the formula, R active is the active support capacity of the energy storage equipment, a 1 ,a 2 ,a 3 ,a 4 ,a 5 ,a 6 ,a 7 All are coefficients.

[0024] Furthermore, the calculation method of the reactive support capacity of the energy storage device is:

[0025] R reactive =b 4 ×(b 1 ×D 1 +b 2 ×D 2 +b 3 ×D 3 )+b 5 ×(b 6 ×Q reactive +b 7 ×P reactive )

[0026] In the formula, R reactive is the reactive power support capability of the energy storage equipment, b 1 ,b 2 ,b 3 ,b 4 ,b 5 ,b 6 ,b 7 All are coefficients.

[0027] Furthermore, the method for setting the active dispatching operation plan and the reactive dispatching operation plan is as follows: according to the order of the active support capacity of the energy storage devices from large to small, the active dispatching of each energy storage device is performed in turn; according to the order of the reactive support capacity of the energy storage devices from large to small, the reactive dispatching of each energy storage device is performed in turn.

[0028] An electronic device includes a memory and a processor, wherein 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 network capability evaluation described in any of the above technical solutions.

[0029] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the application scheduling method based on energy storage network capability evaluation described in any of the above technical solutions.

[0030] Compared with the prior art, the present invention has the following beneficial effects:

[0031] The present invention utilizes the four-quadrant control capability of active and reactive power of energy storage, and establishes a network construction capability assessment model for energy storage. From the two aspects of energy storage participating in active power regulation and reactive power regulation of the power grid, it provides voltage source support and frequency support for the large power grid throughout the entire process, alleviates the transient voltage, frequency and other stability issues in the operation of the power system, effectively improves the ability to accept new energy, completes and realizes the stability capability construction and support role of the power grid, and improves the margin for safe and stable operation of the power grid. The present invention can improve the method for the safe and stable operation capability of the power grid, and at the same time, provide further support for the mining of operation scenarios of energy storage, and promote the realization of dual carbon goals. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 This is a flow chart of an application scheduling method based on energy storage network capability evaluation according to an embodiment of the present invention;

[0033] Figure 2 A network capability evaluation model in the method described in the embodiment of the present invention;

[0034] Figure 3 This is a diagram of the composition of networking capability indicators in the method described in an embodiment of the present invention. DETAILED DESCRIPTION

[0035] The following is a detailed description of an embodiment of the present invention. This embodiment is based on the technical solution of the present invention, and provides a detailed implementation method and a specific operation process to further explain the technical solution of the present invention.

[0036] The main idea of ​​the present invention is: this method establishes a network construction capability assessment model for energy storage, and from the two aspects of energy storage participating in the active power regulation and reactive power regulation of the power grid, utilizes the four-quadrant control capability of active and reactive power of energy storage to provide full-process voltage source support and frequency support for the large power grid, alleviates the transient voltage, frequency and other stability problems in the operation of the power system, effectively improves the new energy acceptance capacity, completes and realizes the stability capability construction and support role of the power grid, and improves the margin for safe and stable operation of the power grid.

[0037] This embodiment provides an application scheduling method based on energy storage network capability evaluation, such as Figure 1 As shown, the following steps are included:

[0038] Step 1, obtain the equipment parameters and working parameters of all energy storage devices involved in the scheduling, including: the energy storage device regulation rate in the factory experiment, the energy storage device response time, the actual regulation output of the energy storage device and the regulation output command value received by the energy storage device, the active available capacity, the active available power, the reactive available capacity, and the reactive available power.

[0039] Step 2: Calculate the various network capability indicators of each energy storage device in the network capability evaluation model according to the device parameters and working parameters of the energy storage device, and then calculate the active support capacity and reactive support capacity of each energy storage device.

[0040] The network building capability evaluation model in this embodiment includes two types of indicators: common indicators and characteristic indicators. Figure 2 , 3 As shown, common indicators include: adjustment rate D 1 , response rate D 2 And adjustment accuracy D 3 ; The characteristic indicators are divided into active dynamic indicators and reactive dynamic indicators. Active dynamic indicators include active available capacity Q active and active available power P active , reactive dynamic indicators include reactive available capacity Q reactive and reactive power P reactive The various network capability evaluation indicators are introduced as follows:

[0041] (1) Common indicators: Adjustment rate D 1 , response rate D 2 And adjustment accuracy D 3 , the calculation formulas are:

[0042] D 1 =V / V ref

[0043] D 2 =1-T res / (5min)

[0044] D 3 =1-(|P res -P ins |) / P all

[0045] Where V is the regulation rate of the energy storage device; V ref is the standard regulation rate of the energy storage device; T res is the response time of the energy storage device, and the response rate D 2The 5min in the calculation formula refers to 5 minutes; P res P is the actual output adjustment of the energy storage equipment unit. ins is the output regulation command value received by the energy storage device, P all The allowable error for the output of the energy storage device is 1.5%.

[0046] (2) Active power dynamic index: Active power available capacity Q active and active available power P active

[0047] Active available capacity Q active : It is the rated capacity of the energy storage device, which can be directly obtained through the device nameplate or parameters;

[0048] Active available power P active : is the rated power of the energy storage device, which can be directly obtained through the device nameplate or parameters;

[0049] The active dynamic index can be calculated from the active available capacity and active available power: α = a 6 ×Q active +a 7 ×P active , where a 6 ,a 7 All are coefficients.

[0050] (3) Reactive power dynamic index: Reactive power available capacity Q reactive and reactive power P reactive

[0051] Reactive available capacity Q reactive : is the available reactive capacity of the energy storage device;

[0052] Reactive available power P reactive : is the available reactive power of the energy storage device;

[0053] The reactive dynamic index can be calculated from the reactive available capacity and reactive available power: β = b 6 ×Q reactive +b 7 ×P reactive , where b 6 ,b 7 All are coefficients.

[0054] After obtaining various network construction capability indicators, the evaluation indicators of active support capability and reactive support capability of each energy storage device can be further calculated as follows:

[0055] R active =a 4 ×(a 1 ×D 1 +a 2 ×D2 +a 3 ×D 3 )+a 5 ×α

[0056] R reactive =b 4 ×(b 1 ×D 1 +b 2 ×D 2 +b 3 ×D 3 )+b 5 ×β

[0057] In the formula, a 1 ,a 2 ,a 3 ,a 4 ,a 5 and b 1 ,b 2 ,b 3 ,b 4 ,b 5 All are coefficients.

[0058] Step 3: sort all energy storage devices by active support capacity and reactive support capacity, and set active dispatching operation plan and reactive dispatching operation plan for all energy storage devices accordingly based on the application requirements of the power grid.

[0059] The method for setting the active dispatching operation plan and the reactive dispatching operation plan is: sort the energy storage devices according to their active support capacity from large to small, and sort the energy storage devices according to their reactive support capacity from large to small, so that active dispatching and reactive dispatching can be performed on each energy storage device in turn based on the application needs of the power grid.

[0060] Step 4: According to the instructions of the active dispatching operation plan and the instructions of the reactive dispatching operation plan, the active output control and reactive output control of each dispatching energy storage device are completed through the PCS equipment, so as to realize the active and reactive support for the power grid, realize its network construction function, and improve the stability of power grid operation.

[0061] The above embodiments are preferred embodiments of the present application. Ordinary technicians in this field can also make various changes or improvements on this basis. Without departing from the overall concept of the present application, these changes or improvements should fall within the scope of protection required by the present application.

Claims

1. An application scheduling method based on energy storage network capability evaluation, characterized in that: include: Step 1, obtaining equipment parameters and operating parameters of all energy storage devices involved in the scheduling; Step 2: Calculate various network capability indicators of each energy storage device in the network capability evaluation model according to the device parameters and working parameters of the energy storage device, and then calculate the active support capacity and reactive support capacity of each energy storage device; The networking capability indicators in the networking capability evaluation model include common indicators and characteristic indicators. Among them, the common indicators include: regulation rate D1, response rate D2 and regulation accuracy D3; the characteristic indicators are divided into active dynamic indicators and reactive dynamic indicators. The active dynamic indicators include active available capacity Q active and active available power P active , reactive dynamic indicators include reactive available capacity Q reactive and reactive power P reactive ; The calculation formula for the adjustment rate is: D1=V / V ref ; Where V is the regulation rate of the energy storage device; V ref is the standard regulation rate of the energy storage device; The response rate is calculated as: D2=1-T res / (5min) Where, T res is the response time of the energy storage device; The calculation formula for adjustment accuracy is: D3=1-(|P res -P ins |) / P all Where P res P is the actual output adjustment of the energy storage equipment unit. ins P is the output adjustment command value received by the energy storage device; all The allowable error of the output of the energy storage device; The calculation method of active support capacity of energy storage equipment is: R active =a4×(a1×D1+a2×D2+a3×D3)+a5×(a6×Q active +a7×P active ) In the formula, R active is the active support capacity of the energy storage equipment, a1, a2, a3, a4, a5, a6, a7 are all coefficients; The calculation method of reactive support capacity of energy storage equipment is: R reactive =b4×(b1×D1+b2×D2+b3×D3)+b5×(b6×Q reactive +b7×P reactive ) In the formula, R reactive is the reactive support capacity of the energy storage equipment, b1, b2, b3, b4, b5, b6, b7 are all coefficients; The method for setting the active power dispatching operation plan and the reactive power dispatching operation plan is as follows: according to the order of active power support capacity of energy storage equipment from large to small, active power dispatching is performed on each energy storage equipment in turn; according to the order of reactive power support capacity of energy storage equipment from large to small, reactive power dispatching is performed on each energy storage equipment in turn; Step 3: sort all energy storage devices by active support capacity and reactive support capacity, and set active dispatching operation plan and reactive dispatching operation plan for all energy storage devices accordingly based on the application requirements of the power grid; Step 4: According to the instructions of the active dispatching operation plan and the instructions of the reactive dispatching operation plan, the active output control and reactive output control of each dispatching energy storage device are completed through the PCS equipment to achieve active and reactive support for the power grid.

2. An electronic device comprising a memory and a processor, wherein a computer program is stored in the memory, wherein: When the computer program is executed by the processor, the processor is caused to implement the method according to claim 1 .

3. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method according to claim 1 is implemented.

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