Pumped storage - DC active power coordinated optimization scheduling method and device, medium, equipment

Abstract

The present application discloses a coordinated optimization scheduling method and device, medium, and equipment for pumped storage - DC active power. The method includes: determining a DC system to be analyzed and corresponding target pumped storage units in a target power system; obtaining first parameters of the DC system to be analyzed and second parameters of the target pumped storage units; establishing an objective function and objective constraint conditions based on the first parameters and the second parameters, where the objective function aims to maximize the water storage volume of the target pumped storage units, and the objective constraint conditions include power balance constraints, active power constraints of the DC system to be analyzed and the target pumped storage units, and water storage volume constraints; determining a first target value of the active power of the DC system to be analyzed and a second target value of the active power of the target pumped storage units when the objective constraint conditions are satisfied and the value of the objective function is maximized, and adjusting the current active power of the DC system to be analyzed to the first target value and adjusting the current active power of the target pumped storage units to the second target value.

Description

Technical Field

[0001] The present application relates to the technical field of power systems, and particularly to a coordinated optimization scheduling method and device, a storage medium, and a computer device for pumped storage - DC active power. Background Art

[0002] With the intensification of the contradiction among energy supply, environmental protection, and economic development, DC transmission has become an inevitable choice for long - distance and large - capacity power transmission due to its low line cost and suitability for long - distance transmission. Therefore, currently, more and more DC systems are fed into the receiving system. During the process of feeding the DC system into the receiving system, the receiving system provides reactive power for the DC landing point through the equipment with power regulation function therein, so as to provide reactive power support for the voltage recovery and voltage stability of the DC, and maintain the stability of the power system.

[0003] As a power regulation device in the power system, the pumped - storage unit has a good power regulation function. Even during peak shaving, whether in the power generation mode or the motor mode, as long as the excitation system operates in the AVR mode, the pumped - storage unit can play a role in supporting the system voltage, making up for the reactive power demand of the power grid to a certain extent, reducing the reactive power compensation equipment of the power grid, and thus saving the investment and operation costs of the power grid. Therefore, the pumped - storage unit is widely used as a power regulation device at the DC landing point in the power system. Currently, when using the pumped - storage unit to provide reactive power for the DC landing point, the water storage of the pumped - storage unit is usually adjusted manually according to experience. By adjusting the water storage, the active power output by the pumped - storage unit is controlled, so as to reserve reactive power capacity for the DC landing point. However, in this method, the utilization rate of the reactive power capacity of the pumped - storage unit is closely related to the professionalism of the staff, and the reactive power of the pumped - storage unit cannot be utilized to the maximum extent. Summary of the Invention

[0004] In view of this, the present application provides a coordinated optimization scheduling method and device, a storage medium, and a computer device for pumped storage - DC active power, which can reduce the active power output of the target pumped - storage unit, maximize the reserved reactive power of the target pumped - storage unit, and thus reserve more reactive power capacity to provide dynamic reactive power support for the DC landing point.

[0005] According to one aspect of the present application, a coordinated optimization scheduling method for pumped storage - DC active power is provided, including:

[0006] Determine a DC system to be analyzed and a target pumped - storage unit corresponding to the DC system to be analyzed in the target power system;

[0007] Obtain a first parameter of the DC system to be analyzed and a second parameter corresponding to the target pumped - storage unit;

[0008] Based on the first parameter and the second parameter, establish an objective function and objective constraint conditions. The objective function is established with the maximum water storage capacity of the target pumped-storage unit as the optimization objective. The objective constraint conditions include power balance constraints, active power constraints of the DC system to be analyzed, active power constraints of the target pumped-storage unit, and water storage constraints;

[0009] Determine the first target value of the active power of the DC system to be analyzed and the second target value of the active power of the target pumped-storage unit when the objective constraint conditions are satisfied and the value of the objective function is maximized. Then adjust the current active power of the DC system to be analyzed to the first target value and adjust the current active power of the target pumped-storage unit to the second target value.

[0010] According to another aspect of the present application, there is provided a coordinated optimization scheduling device for pumped-storage - DC active power, including:

[0011] A determination module, configured to determine a DC system to be analyzed and a corresponding target pumped-storage unit in a target power system;

[0012] An acquisition module, configured to acquire the first parameter of the DC system to be analyzed and the second parameter corresponding to the target pumped-storage unit;

[0013] A establishment module, configured to establish an objective function and objective constraint conditions according to the first parameter and the second parameter. The objective function is established with the maximum water storage capacity of the target pumped-storage unit as the optimization objective. The objective constraint conditions include power balance constraints, active power constraints of the DC system to be analyzed, active power constraints of the target pumped-storage unit, and water storage constraints;

[0014] An adjustment module, configured to determine the first target value of the active power of the DC system to be analyzed and the second target value of the active power of the target pumped-storage unit when the objective constraint conditions are satisfied and the value of the objective function is maximized. Then adjust the current active power of the DC system to be analyzed to the first target value and adjust the current active power of the target pumped-storage unit to the second target value.

[0015] According to yet another aspect of the present application, there is provided a storage medium, on which a computer program is stored. When the program is executed by a processor, the above-mentioned coordinated optimization scheduling method for pumped-storage - DC active power is implemented.

[0016] According to still another aspect of the present application, there is provided a computer device, including a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor. When the processor executes the program, the above-mentioned coordinated optimization scheduling method for pumped-storage - DC active power is implemented.

[0017] By means of the above technical solution, a coordinated optimization scheduling method and device, storage medium, and computer device for pumped storage - DC active power provided by the present application, when analyzing the DC system feeding into the receiving system, obtain the first parameters of the DC system to be analyzed and the second parameters of the target pumped - storage unit, and establish an objective function and corresponding objective constraint conditions. The objective function is used to indicate the water storage volume of the target pumped - storage unit, and the objective constraint condition is a formula for restricting the value range of the parameters of the objective function. When the objective function satisfies the objective constraint condition and the value (water storage volume) is the largest, solve for the first target value of the active power of the DC system to be analyzed and the second target value of the active power of the target pumped - storage unit. Adjust the current DC power of the DC system to be analyzed in the target power system to the first target value, and adjust the current active power of the target pumped - storage unit to the second target value. In the embodiments of the present application, by establishing the objective function and constraint formula, the first target value and the second target value are obtained. Then, the current DC power of the DC system to be analyzed is adjusted to the first target value, and the current active power of the target pumped - storage unit is adjusted to the second target value. The above - mentioned second target value is the minimum active power value of the target pumped - storage unit under the above - mentioned constraint conditions. At this time, the reactive power of the corresponding target pumped - storage unit is the largest. Therefore, the active power output of the target pumped - storage unit can be reduced, and the reactive power of the target pumped - storage power unit can be maximally reserved, so as to reserve more reactive power capacity to provide dynamic reactive power support for the DC landing point, which is beneficial to ensuring the stability of the power system after the DC system to be analyzed is fed in.

[0018] The above description is only an overview of the technical solution of the present application. In order to be able to understand the technical means of the present application more clearly, it can be implemented according to the content of the specification. And in order to make the above - mentioned and other purposes, features, and advantages of the present application more obvious and understandable, the following specifically illustrates the embodiments of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The drawings described herein are used to provide a further understanding of the present application, and constitute a part of the present application. The schematic embodiments of the present application and their descriptions are used to explain the present application, and do not constitute an improper limitation of the present application. In the drawings:

[0020] Figure 1 Shows a schematic flow chart of a coordinated optimization scheduling method for pumped storage - DC active power provided by an embodiment of the present application;

[0021] Figure 2 Shows a schematic diagram of a target power system provided by an embodiment of the present application;

[0022] Figure 3 Shows a schematic structural diagram of a coordinated optimization scheduling device for pumped storage - DC active power provided by an embodiment of the present application;

[0023] Figure 4 The figure shows a schematic diagram of the device structure of a computer device provided by an embodiment of the present application. Detailed implementation manners

[0024] In the following, the present application will be described in detail with reference to the accompanying drawings and in combination with embodiments. It should be noted that, without conflict, the embodiments in the present application and the features in the embodiments may be combined with each other.

[0025] In this embodiment, a coordinated optimal scheduling method for pumped storage - DC active power is provided. As Figure 1 shown, the method includes:

[0026] Step 101, determine the DC system to be analyzed in the target power system, and the target pumped storage unit corresponding to the DC system to be analyzed.

[0027] In this embodiment, the power system includes multiple DC systems and receiving - end systems corresponding to the multiple DC systems. Further, the target power system refers to a power system that needs to perform coordinated optimal scheduling on the active power of the DC system and the active power of the target pumped storage units in the receiving - end system. The DC system to be analyzed refers to a DC system that may perform active - power regulation before and after being fed into the receiving - end system of the target power system. The target pumped storage unit refers to a pumped storage unit that can provide reactive power for the target power system during the process of the DC system to be analyzed being fed into the receiving - end system of the target power system, and specifically may be a pumped - storage power unit. When the DC system to be analyzed is fed into the receiving - end system, reactive - power support is required at the DC landing point. During the operation of the target pumped storage units in the receiving - end system, the reactive - power capacity can be reserved by reasonably adjusting their own active power to provide reactive - power support to the DC landing point of the DC system to be analyzed. Therefore, the DC system to be analyzed and the target pumped storage units in the receiving - end system have a strong correlation. It should be noted that the number of target pumped storage units is at least one.

[0028] In this embodiment, first, according to the coordinated optimal scheduling requirements, the DC system to be analyzed and the target pumped storage unit corresponding to the DC system to be analyzed can be determined among the multiple DC systems in the target power system.

[0029] Step 102, obtain the first parameters of the DC system to be analyzed and the second parameters corresponding to the target pumped storage unit.

[0030] Step 103, establish an objective function and objective constraint conditions according to the first parameters and the second parameters. The objective function is established with the maximum water storage of the target pumped storage unit as the optimization objective, and the objective constraint conditions include power - balance constraints, active - power constraints of the DC system to be analyzed, and active - power constraints and water - storage constraints of the target pumped storage unit.

[0031] In this embodiment, the target constraint condition is a constraint on the parameter values of the objective function. Among them, when the DC system to be analyzed in the target power system feeds into the receiving-end system, it is necessary to maintain the power balance of the system. Therefore, according to the power balance of the system, the power balance constraint of the DC system to be analyzed and the receiving-end system to which it feeds is established. In addition, the active power constraint of the DC system to be analyzed can be established according to the voltage stiffness at the DC landing point, which is used to constrain the value range of the active power of the DC system to be analyzed; the active power constraint of the target pumped-storage unit is established to constrain the value range of the active power of the target pumped-storage unit; the water storage capacity constraint of the target pumped-storage unit is established to constrain the value range of the water storage capacity of the target pumped-storage unit.

[0032] According to the first parameter of the DC system to be analyzed and the second parameter corresponding to the target pumped-storage unit, an objective function with the maximum water storage capacity of the target pumped-storage unit as the optimization objective, and target constraint conditions related to the objective function are established. The above target constraint conditions include power balance constraints, active power constraints of the DC system to be analyzed, active power constraints of the target pumped-storage unit, and water storage capacity constraints. The first parameter may include critical voltage stiffness, power factor angle, actual voltage stiffness, and the second parameter may include the equivalent impedance of the receiving-end system seen by the DC system to be analyzed, droop coefficient, actual active power, minimum active power, number of target pumped-storage units, maximum active power, initial water storage capacity, maximum water storage capacity, maximum water storage percentage, minimum water storage percentage, conversion coefficient.

[0033] Step 104, determine the first target value of the DC power of the target power system and the second target value of the active power of the target pumped-storage unit when the target constraint conditions are satisfied and the objective function takes the maximum value, and adjust the current DC power of the DC system to be analyzed in the target power system to the first target value, and adjust the current active power of the target pumped-storage unit to the second target value.

[0034] It should be noted that the power of the target pumped-storage unit is adjustable. When its own active power is lowered, the reactive power it stores becomes more. When the water storage capacity of the target pumped-storage unit is the largest, the active power it provides is the smallest, and the reactive power it stores is the most, which can provide the largest reactive power support for the DC system to be analyzed, that is, effectively utilize the reactive power stored by the pumped-storage unit.

[0035] In this embodiment, the objective function is solved to determine the first target value of the active power of the DC system to be analyzed and the second target value of the active power of the target pumped-storage unit when the objective function takes the maximum value and the target constraint conditions are satisfied, and adjust the current active power of the DC system to be analyzed in the target power system to the first target value, and adjust the current active power of the target pumped-storage unit to the second target value.

[0036] By applying the technical solution of this embodiment, when the DC system to be analyzed feeds into the receiving system, the first parameters of the DC system to be analyzed and the second parameters of the target pumped-storage unit are obtained, and an objective function and corresponding objective constraint conditions are established. The objective function is used to indicate the water storage capacity of the target pumped-storage unit, and the objective constraint condition is a formula for constraining the value range of the parameters of the objective function. When the objective function satisfies the objective constraint condition and the value (water storage capacity) is the largest, the first target value of the active power of the DC system to be analyzed and the second target value of the active power of the target pumped-storage unit are solved. The current DC power of the DC system to be analyzed in the target power system is adjusted to the first target value, and the current active power of the target pumped-storage unit is adjusted to the second target value. In the embodiment of the present application, by establishing an objective function and a constraint formula, the first target value and the second target value are obtained. Then, the current DC power of the DC system to be analyzed is adjusted to the first target value, and the current active power of the target pumped-storage unit is adjusted to the second target value. The above second target value is the minimum active power of the target pumped-storage unit under the above constraint conditions. At this time, the reactive power of the corresponding target pumped-storage unit is the largest. Therefore, the active power output of the target pumped-storage unit can be reduced, and the reactive power of the target pumped-storage power unit can be maximally reserved, so as to reserve more reactive power capacity to provide dynamic reactive power support for the DC landing point, which is beneficial to ensuring the stability of the power system after the DC system to be analyzed feeds in.

[0037] In the embodiment of the present application, optionally, the first parameters include the critical voltage stiffness and the power factor angle, and the second parameter includes the equivalent impedance of the receiving system seen from the DC system to be analyzed; the active power constraint formula (1) of the DC system to be analyzed in step 103 is as follows:

[0038]

[0039] where P DC is the active power of the DC system to be analyzed, K c is the critical voltage stiffness, X sys is the equivalent impedance of the receiving system seen from the DC system to be analyzed, is the power factor angle of the DC system to be analyzed.

[0040] In this embodiment, according to formula (1), the value range of the active power of the DC system to be analyzed is constrained, and it is judged whether the current value of the DC power of the DC system to be analyzed is within the above value range. If the current value of the DC power of the DC system to be analyzed is not within the above value range, the current value of the DC power of the DC system to be analyzed is adjusted according to the above value range, so that the adjusted current value of the DC power of the DC system to be analyzed falls within the above value range.

[0041] In this embodiment, the active power of the DC system to be analyzed is constrained according to the voltage stiffness at the DC landing point, and the DC power constraint formula (1) of the DC system to be analyzed is established. The establishment of the above formula (1) includes the following steps:

[0042] Step 201, the equivalent impedance of the DC system to be analyzed can be represented by formula (2), and the above formula (2) is as follows:

[0043]

[0044] Wherein, is the equivalent impedance of the DC system to be analyzed relative to the receiving-end system, U DC is the DC bus voltage of the DC system to be analyzed, is the conjugate of the complex power of the DC system to be analyzed, P DC is the active power of the DC system to be analyzed, is the power factor of the DC system to be analyzed.

[0045] Step 202, it is approximately considered that for the DC landing point, the calculation formula (3) of its actual voltage stiffness (K vtg ) is as follows:

[0046]

[0047] Wherein, is the equivalent impedance of the receiving-end system seen from the DC system to be analyzed.

[0048] Generally speaking, when the starting mode, grid structure and operating conditions of other DC systems in the receiving-end system do not change, the system equivalent impedance of the specified DC landing point changes little with the change of unit output. For this reason, it is approximately considered that for the DC landing point, the calculation formula of its actual voltage stiffness is formula (3).

[0049] Step 203, when the DC system to be analyzed feeds into the receiving-end system, the actual voltage stiffness at the DC landing point needs to satisfy formula (4), and formula (4) is as follows:

[0050] K vtg ≥K c (4);

[0051] Wherein, K c is the critical voltage stiffness value.

[0052] Step 204, substituting formula (2) and formula (3) into formula (4), the obtained formula (5) is as follows:

[0053]

[0054] Step 205: Ignore the effect of the resistance in the equivalent impedance of the receiving-end system, and use a pure reactance (X ) to simulate the equivalent impedance of the receiving-end system. Formula (5) is transformed into Formula (6) as follows: sys ) to simulate the equivalent impedance of the receiving-end system. Formula (5) is transformed into Formula (6) as follows:

[0055]

[0056] It should be noted that in a high-voltage transmission network, the line resistance is usually much smaller than the reactance value. Therefore, Step 205 can be executed.

[0057] Step 206: Eliminate the on both sides of Formula (6), and take the square of the modulus values on both sides to obtain Formula (7), and Formula (7) is as follows:

[0058]

[0059] Step 207: Assume that the voltage at the DC landing point is approximately 1. Then Formula (7) can be regarded as a quadratic equation of one variable about the active power P DC of the DC system to be analyzed. After its form is transformed, Formula (1) is obtained, and then the active power constraint formula of the DC system to be analyzed is obtained.

[0060] In the embodiment of the present application, optionally, the first parameter further includes the actual voltage stiffness, and the second parameter further includes the droop coefficient, the actual active power, and the minimum active power; the first active power constraint formula (8) of the target pumped-storage unit is as follows:

[0061]

[0062] where K vtg is the actual voltage stiffness, α vp is the droop coefficient, is the actual active power of the i-th target pumped-storage unit, is the minimum active power of the i-th target pumped-storage unit, and N p is the number of the target pumped-storage units.

[0063] In this embodiment, based on the DC landing point, the first active power constraint of the target pumped-storage unit is established, and this first active power constraint can be represented by Formula (8).

[0064] In the embodiment of the present application, optionally, the second parameter further includes the number of the target pumped-storage units, and the power balance constraint formula (9) is as follows:

[0065]

[0066] where is the active power of the i-th conventional unit, N g is the number of the conventional units, is the total system load of the receiving-end system. It should be noted that in the receiving-end system, in addition to the target pumped-storage unit, there are also conventional units. The above-mentioned conventional units mainly refer to large-scale power generation equipment for centralized power supply in the receiving-end system, including but not limited to coal-fired power generation units and / or gas-fired power generation units.

[0067] In this embodiment, when analyzing the power of the target power system corresponding to the DC system feeding into the receiving-end system, the power needs to be balanced. Therefore, according to the above power balance, the power balance constraint formula (9) is established.

[0068] In the embodiment of the present application, optionally, the second parameter further includes the maximum active power, and the second active power constraint formula (10) of the target pumped-storage unit is as follows:

[0069]

[0070] where is the maximum active power of the i-th target pumped-storage unit.

[0071] In this embodiment, the magnitude of the active power provided by the target pumped-storage unit is within a certain range, and specifically, it can be constrained by formula (10).

[0072] In this embodiment, optionally, the second parameter further includes the initial water storage, the maximum water storage, the maximum water storage percentage, the minimum water storage percentage, and the conversion coefficient; the water storage constraint formula (11) of the target pumped-storage unit is as follows:

[0073]

[0074] where E ratei is the maximum water storage of the i-th target pumped-storage unit, τ min is the minimum water storage percentage of the target pumped-storage unit, E 0i is the initial water storage of the i-th target pumped-storage unit, is the conversion coefficient of the i-th target pumped-storage unit, τ max is the maximum water storage percentage of the target pumped-storage unit.

[0075] It should be noted that the conversion coefficient is the power-water conversion coefficient.

[0076] In this embodiment, the objective function formula (12) is as follows:

[0077]

[0078] Further, as a refinement and extension of the specific implementation manner of the above embodiment, in order to completely illustrate the specific implementation process of this embodiment, another coordinated optimization scheduling method for pumped storage - DC active power is provided, and this method includes:

[0079] It should be noted that the target power system in this embodiment is as Figure 2 shown, where the LCC - HVDC (High - Voltage Direct Current Transmission) system, that is, the DC system to be analyzed in the above embodiment, and bus 1 is the receiving - end system. Target pumped - storage units G30 and G39 are respectively installed at bus 30 and bus 39. These two target pumped - storage units provide reactive power for the above - mentioned DC system to be analyzed and are strongly correlated units of the DC system to be analyzed. The main parameters of the LCC - HVDC system are shown in Table 1. The basic information of target pumped - storage units G30 and G39 is shown in Table 2.

[0080] Table 1 Main parameters of the LCC - HVDC system

[0081]

[0082] Table 2 Main parameters of the pumped - storage unit

[0083]

[0084]

[0085] According to Table 1, Formula (2) and Formula (3), the actual voltage stiffness Kvtg is calculated to be 0.975, and 0.96 is selected as the critical voltage stiffness Kc.

[0086] According to Formula (1), when the active power of the DC system to be analyzed, that is, the rated power in Table 1, is 1000 MW, the constraint of Formula (1) is satisfied.

[0087] Substitute the data in Table 1 and Table 2 into the above objective function and the corresponding objective constraint conditions. With the objective of maximizing the value of the objective function, the first target value of the active power of the DC system to be analyzed is solved as 1100 MW, the second target value of the active power of the target pumped-storage unit G30 is 130 MW, and the second target value of the active power of the target pumped-storage unit G39 is 200 MW. The water storage volume of the target pumped-storage unit G30 is 800 m3, and the water storage volume at the target pumped-storage unit G39 is 960 m3. Adjust the corresponding values in the target power system according to the above solution. At this time, it can be obtained that the maximum reactive power of the target pumped-storage unit G30 increases from 1173.67 MVar to 1192.94 MVar, and the maximum reactive power at the target pumped-storage unit G39 can increase from 1230.49 MVar to 1233.90 MVar. The current voltage stiffness of the DC system to be analyzed can still reach 0.962, meeting the constraint conditions of formula (1), effectively realizing the coordinated optimization scheduling of pumped-storage - DC active power.

[0088] Furthermore, as Figure 1 a specific implementation of the method, an embodiment of the present application provides a coordinated optimization scheduling device for pumped-storage - DC active power, as Figure 3 shown. The device includes:

[0089] A determination module, configured to determine a DC system to be analyzed in a target power system, and the target pumped-storage units corresponding to the DC system to be analyzed;

[0090] An acquisition module, configured to acquire first parameters of the DC system to be analyzed, and second parameters corresponding to the target pumped-storage units;

[0091] A establishment module, configured to establish an objective function and objective constraint conditions according to the first parameters and the second parameters. The objective function is established with the maximum water storage volume of the target pumped-storage unit as the optimization objective. The objective constraint conditions include power balance constraints, active power constraints of the DC system to be analyzed and the target pumped-storage units, and water storage volume constraints;

[0092] An adjustment module, configured to determine the first target value of the active power of the DC system to be analyzed and the second target value of the active power of the target pumped-storage unit when the objective constraint conditions are met and the value of the objective function is maximized, and adjust the current active power of the DC system to be analyzed to the first target value, and adjust the current active power of the target pumped-storage unit to the second target value.

[0093] It should be noted that for other corresponding descriptions of each functional unit involved in the coordinated optimization scheduling device for pumped-storage - DC active power provided by the embodiment of the present application, reference can be made to Figures 1 to 2 the corresponding descriptions in the method, which will not be elaborated here.

[0094] The embodiments of the present application further provide a computer device, which can specifically be a personal computer, a server, a network device, etc. For example, Figure 4 as shown, the computer device includes a bus, a processor, a memory, and a communication interface, and may further include an input / output interface and a display device. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store location information. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, it implements the steps in the method embodiments.

[0095] Those skilled in the art can understand that Figure 4 the structure shown in

[0096] is only a block diagram of some structures related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine some components, or have a different component layout.

[0097] In one embodiment, a computer-readable storage medium is provided. The computer-readable storage medium may be non-volatile or volatile, and stores a computer program. When the computer program is executed by the processor, it implements the steps in the above method embodiments.

[0098] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in the present application are all information and data that have been authorized by the user or fully authorized by all parties.

[0099] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, database, or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memories. Non-volatile memories can include read-only memory (ROM), magnetic tapes, floppy disks, flash memories, optical memories, high-density embedded non-volatile memories, resistive random access memories (ReRAM), magnetoresistive random access memories (MRAM), ferroelectric random access memories (FRAM), phase change memories (PCM), graphene memories, etc. Volatile memories can include random access memory (RAM) or external cache memories, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The databases involved in the embodiments provided in this application can include at least one of relational databases and non-relational databases. Non-relational databases can include distributed databases based on blockchain, etc., without limitation. The processors involved in the embodiments provided in this application can be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, data processing logics based on quantum computing, etc., without limitation.

[0100] The technical features of the above embodiments can be combined arbitrarily. For the sake of concise description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope recorded in this specification.

[0101] The above-described embodiments merely represent several implementation manners of this application. The description is relatively specific and detailed, but it should not be construed as a limitation on the patent scope of this application. It should be noted that for those of ordinary skill in the art, without departing from the concept of this application, several modifications and improvements can still be made, and these all belong to the protection scope of this application. Therefore, the protection scope of this application should be subject to the appended claims.

Claims

1. A coordinated optimization dispatch method for pumped storage - DC active power, characterized in that, The method controls the active power output of the pumped-storage unit by adjusting the water storage volume of the pumped-storage unit, and retains the reactive power of the pumped-storage unit, so as to reserve reactive power capacity at the DC landing point. The method includes: Determine the DC system to be analyzed and the target pumped-storage unit corresponding to the DC system to be analyzed in the target power system; Obtain the first parameters of the DC system to be analyzed and the second parameters corresponding to the target pumped-storage unit; According to the first parameter and the second parameter, establish an objective function and objective constraint conditions. The objective function is established with the maximum water storage volume of the target pumped-storage unit as the optimization objective. The objective constraint conditions include power balance constraints, active power constraints of the DC system to be analyzed, and active power constraints and water storage volume constraints of the target pumped-storage unit; Determine the first target value of the active power of the DC system to be analyzed and the second target value of the active power of the target pumped-storage unit when the objective constraint conditions are satisfied and the objective function takes the maximum value, and adjust the current active power of the DC system to be analyzed to the first target value, and adjust the current active power of the target pumped-storage unit to the second target value; Wherein, the first parameters include critical voltage stiffness and power factor angle; the second parameter includes the equivalent impedance of the receiving-end system seen by the DC system to be analyzed; the formula for the active power constraint of the DC system to be analyzed is as follows: Among them, P DC is the active power of the DC system to be analyzed, K c is the critical voltage stiffness, X sys is the equivalent impedance of the receiving-end system seen from the DC system to be analyzed, is the power factor angle of the DC system to be analyzed; Wherein, the first parameter further includes actual voltage stiffness, and the second parameter further includes droop coefficient, actual active power, and minimum active power; the formula for the first active power constraint of the target pumped-storage unit is as follows: Among them, K vtg is the actual voltage stiffness, α vp is the droop coefficient, is the actual active power of the i-th target pumped-storage unit, is the minimum active power of the i-th target pumped-storage unit, N p is the number of the target pumped-storage units; Wherein, the second parameter further includes the number of the target pumped-storage units; the formula for the power balance constraint is as follows: wherein, is the active power of the i-th conventional unit, and N g is the number of the conventional units, is the total system load of the receiving-end system; Wherein, the second parameter further includes the maximum active power; the formula for the second active power constraint of the target pumped-storage unit is as follows: Among them, is the maximum active power of the i-th target pumped-storage unit; Wherein, the second parameter further includes initial water storage volume, maximum water storage volume, maximum water storage percentage, minimum water storage percentage, and conversion coefficient; the formula for the water storage volume constraint of the target pumped-storage unit is as follows: Among them, E ratei is the maximum water storage capacity of the i-th target pumped storage unit, and τ min is the minimum water storage percentage of the target pumped storage unit, and E 0i is the initial water storage capacity of the i-th target pumped storage unit, is the conversion coefficient of the i-th target pumped storage unit, and τ max is the maximum water storage percentage of the target pumped storage unit; Wherein, the formula for the objective function is as follows:

2. A pumped storage - DC active power coordinated optimization scheduling device, characterized in that The device controls the active power output of the pumped-storage unit by adjusting the water storage volume of the pumped-storage unit, and retains the reactive power of the pumped-storage unit, so as to reserve reactive power capacity at the DC landing point. The device includes: A determination module, configured to determine the DC system to be analyzed and the target pumped-storage unit corresponding to the DC system to be analyzed in the target power system; An acquisition module, configured to acquire the first parameters of the DC system to be analyzed and the second parameters corresponding to the target pumped-storage unit; A establishment module, configured to establish an objective function and objective constraint conditions according to the first parameter and the second parameter. The objective function is established with the maximum water storage volume of the target pumped-storage unit as the optimization objective. The objective constraint conditions include power balance constraints, active power constraints of the DC system to be analyzed, and active power constraints and water storage volume constraints of the target pumped-storage unit; An adjustment module is configured to determine a first target value of the active power of the DC system to be analyzed and a second target value of the active power of the target pumped-storage unit when the target constraint conditions are satisfied and the value of the target function is maximized, and adjust the current active power of the DC system to be analyzed to the first target value and adjust the current active power of the target pumped-storage unit to the second target value; Wherein, the first parameters include the critical voltage stiffness and the power factor angle; the second parameters include the equivalent impedance of the receiving-end system seen by the DC system to be analyzed; the active power constraint formula of the DC system to be analyzed is as follows: Among them, P DC is the active power of the DC system to be analyzed, K c is the critical voltage stiffness, X sys is the equivalent impedance of the receiving-end system seen from the DC system to be analyzed, is the power factor angle of the DC system to be analyzed; Wherein, the first parameters further include the actual voltage stiffness, and the second parameters further include the droop coefficient, the actual active power, and the minimum active power; the first active power constraint formula of the target pumped-storage unit is as follows: Among them, K vtg is the actual voltage stiffness, α vp is the droop coefficient, is the actual active power of the i-th target pumped-storage unit, is the minimum active power of the i-th target pumped-storage unit, N p is the number of the target pumped-storage units; Wherein, the second parameters further include the number of the target pumped-storage units; the power balance constraint formula is as follows: Among them, is the active power of the i-th conventional unit, and N g is the number of the conventional units, is the total system load of the receiving-end system; Wherein, the second parameters further include the maximum active power; the second active power constraint formula of the target pumped-storage unit is as follows: Among them, is the maximum active power of the i-th target pumped storage unit; Wherein, the second parameters further include the initial water storage, the maximum water storage, the maximum water storage percentage, the minimum water storage percentage, and the conversion coefficient; the water storage constraint formula of the target pumped-storage unit is as follows: Among them, E ratei is the maximum water storage capacity of the i-th target pumped storage unit, and τ min is the minimum water storage percentage of the said target pumped storage unit, and E 0i is the initial water storage capacity of the i-th target pumped storage unit, is the conversion coefficient of the i-th target pumped storage unit, and τ max is the maximum water storage percentage of the said target pumped storage unit; Wherein, the target function formula is as follows:

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

4. A computer device, comprising a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor, characterized in that When the processor executes the computer program, the method described in claim 1 is implemented.

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