Pumping storage-direct current active power coordinated optimization scheduling method and device, medium and equipment

Abstract

The invention discloses a pumped storage-direct current active power coordinated optimization scheduling method and device, a medium and equipment. The method comprises the steps that a direct current system to be analyzed and a corresponding target pumped storage unit are determined in a target power system; acquiring a first parameter of the direct current system to be analyzed and a second parameter of the target pumped storage unit; according to the first parameter and the second parameter, a target function and target constraint conditions are established, the target function takes the maximum water storage capacity of the target pumped storage unit as a target, and the target constraint conditions comprise a power balance constraint, an active power constraint of the direct current system to be analyzed and an active power constraint and a water storage capacity constraint of the target pumped storage unit; determining a first target value of the active power of the to-be-analyzed direct-current system and a second target value of the active power of the target pumped storage unit when the target constraint condition is met and the value of the target function is maximum, and adjusting the current active power of the to-be-analyzed direct-current system to the first target value, and adjusting the current active power of the target pumped storage unit to the second target value.

Description

Technical Field

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

[0002] As the contradiction between energy supply, environmental protection and economic development intensifies, DC transmission has become an inevitable choice for long-distance, large-capacity power transmission due to its low line cost and suitability for long-distance transmission. Therefore, more and more DC systems are currently fed into the receiving system. In the process of the DC system being fed into the receiving system, the receiving system provides reactive power to the DC landing point through the equipment with power regulation function, thereby providing reactive support for the voltage recovery and voltage stability of the DC and maintaining 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 load regulation, whether in power generation or electric operation, as long as the excitation system operates in AVR mode, the pumped storage unit can support the system voltage, make up for the power grid's demand for reactive power to a certain extent, reduce the reactive power compensation equipment of the power grid, and thus save 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 drop point in the power system. At present, when the pumped storage unit is used to provide reactive power for the DC drop point, the water storage capacity of the pumped storage unit is usually adjusted manually based on experience, and the active power output of the pumped storage unit is controlled by adjusting the water storage capacity, so as to reserve reactive capacity for the DC drop point. However, the utilization rate of the reactive capacity of the pumped storage unit in this method is closely related to the professionalism of the staff, and the reactive power of the pumped storage unit cannot be maximized. Summary of the invention

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

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

[0006] Determining 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] Acquire a first parameter of the DC system to be analyzed and a second parameter corresponding to the target pumped storage unit;

[0008] According to the first parameter and the second parameter, an objective function and an objective constraint condition are established, wherein the objective function is established with the maximum water storage capacity of the target pumped storage unit as the optimization target, and the objective constraint condition includes a power balance constraint, an active power constraint of the DC system to be analyzed, and an approximate sum of the active power and the water storage capacity constraint of the target pumped storage unit;

[0009] When it is determined that the target constraint condition is satisfied and the target function takes the maximum value, 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 determined, and the current active 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.

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

[0011] A determination module, used 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;

[0012] An acquisition module, used for acquiring a first parameter of the DC system to be analyzed and a second parameter corresponding to the target pumped storage unit;

[0013] An establishment module is used to establish an objective function and an objective constraint condition according to the first parameter and the second parameter, wherein the objective function is established with the maximum water storage capacity of the target pumped storage unit as the optimization target, and the objective constraint condition includes a power balance constraint, an active power constraint of the DC system to be analyzed, and an active power constraint and a water storage capacity constraint of the target pumped storage unit;

[0014] An adjustment module is used 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 condition is satisfied and the objective function takes a maximum value, and adjust the current active power of the DC system to be analyzed to the first target value and the current active power of the target pumped-storage unit to the second target value.

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

[0016] According to another aspect of the present application, a computer device is provided, including a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor, wherein the processor implements the above-mentioned coordinated optimization scheduling method of pumped storage-DC active power when executing the program.

[0017] By means of the above technical scheme, the present application provides a method and device for coordinated optimization and scheduling of pumped storage-DC active power, a storage medium, and a computer device. When the DC system to be analyzed is fed into the receiving system, the first parameter of the DC system to be analyzed and the second parameter of the target pumped storage unit are obtained, and an objective function and a corresponding objective constraint condition are established. The objective function is used to indicate the water storage capacity of the target pumped storage unit, and the target constraint condition is a formula for constraining the value of the parameter of the objective function. When the objective function satisfies the objective constraint condition and the value (water storage capacity) is the maximum, 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. The embodiment of the present application obtains the first target value and the second target value by establishing an objective function and a constraint formula, and then adjusts the current DC power of the DC system to be analyzed to the first target value, and adjusts the current active power of the target pumped-storage unit to the second target value. The above-mentioned second target value is the minimum active power of the target pumped-storage unit under the above-mentioned constraint conditions. At this time, the corresponding reactive power of the target pumped-storage unit is the largest, so the active output of the target pumped-storage unit can be reduced, and the reactive power of the target pumped-storage unit can be retained to the maximum extent, thereby reserving more reactive capacity to provide dynamic reactive support at the DC landing point, which is beneficial to ensure 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 more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. 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 illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0020] Figure 1 A schematic diagram of a process flow of a pumped storage-DC active power coordinated optimization scheduling method provided in an embodiment of the present application is shown;

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

[0022] Figure 3 A schematic diagram of the structure of a pumped storage-DC active power coordinated optimization scheduling device provided in an embodiment of the present application is shown;

[0023] Figure 4 A schematic diagram of the device structure of a computer device provided in an embodiment of the present application is shown. DETAILED DESCRIPTION

[0024] The present application will be described in detail below with reference to the accompanying drawings and in combination with embodiments. It should be noted that the embodiments and features in the embodiments of the present application can be combined with each other without conflict.

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

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

[0027] In this embodiment, the power system includes multiple DC systems and receiving systems corresponding to the above multiple DC systems. Furthermore, the target power system refers to a power system that needs to coordinate and optimize the active power of the DC system and the active power of the target pumped storage unit of the receiving 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 system of the target power system. The target pumped storage unit refers to a pumped storage unit that can provide reactive power to the target power system during the process of the DC system to be analyzed being fed into the receiving system of the target power system, and can specifically be a pumped storage unit. When the DC system to be analyzed is fed into the receiving system, reactive support is required at the DC drop point. During operation, the target pumped storage unit in the receiving system can reserve reactive capacity by reasonably adjusting its own active power to provide reactive support to the DC drop point of the DC system to be analyzed. Therefore, the DC system to be analyzed has a strong correlation with the target pumped storage unit of the receiving system. It should be noted that the number of target pumped storage units is at least one.

[0028] In this embodiment, firstly, according to the coordinated optimization 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 from multiple DC systems in the target power system.

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

[0030] Step 103, establishing an objective function and objective constraints based on the first parameter and the second parameter, wherein the objective function is established with the maximum water storage capacity of the target pumped-storage unit as the optimization target, and the objective constraints include power balance constraints, active power constraints of the DC system to be analyzed, and active power constraints and water storage capacity constraints of the target pumped-storage unit.

[0031] In this embodiment, the target constraint condition is a constraint on the parameter value of the target function. Among them, when the DC system to be analyzed in the target power system is fed into the receiving system, the system power balance needs to be maintained. Therefore, the power balance constraint of the DC system to be analyzed and the fed-in receiving system is established according to the system power balance. In addition, the active power constraint of the DC system to be analyzed can be established according to the voltage stiffness at the DC drop point to constrain the active power value range of the DC system to be analyzed; the active power constraint of the target pumped storage unit is established to constrain the active power value range of the target pumped storage unit; and the water storage capacity constraint of the target pumped storage unit is established to constrain the water storage capacity value range 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 target and objective constraints related to the objective function are established, and the above-mentioned objective constraints 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, and actual voltage stiffness, and the second parameter may include 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, and conversion coefficient.

[0033] Step 104, determining a first target value of the DC power of the target power system and a second target value of the active power of the target pumped-storage unit when the target constraint condition is satisfied and the objective function takes a maximum value, and adjusting the current DC power of the DC system to be analyzed in the target power system to the first target value, and adjusting 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, its stored reactive power becomes more. When the target pumped storage unit has the largest water storage capacity, the active power it provides is the smallest, and its stored reactive power is the largest. It can provide the largest reactive 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 satisfies the target constraint conditions, and the current active 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.

[0036] By applying the technical solution of this embodiment, when the DC system to be analyzed is fed into the receiving system, the first parameter of the DC system to be analyzed and the second parameter of the target pumped storage unit are obtained, and an objective function and corresponding target constraints are established. The objective function is used to indicate the water storage capacity of the target pumped storage unit, and the target constraint is a formula for constraining the values ​​of the parameters of the objective function. When the objective function satisfies the target constraint and the value (water storage capacity) is the maximum, 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. The embodiment of the present application obtains the first target value and the second target value by establishing an objective function and a constraint formula, and then adjusts the current DC power of the DC system to be analyzed to the first target value, and adjusts the current active power of the target pumped-storage unit to the second target value. The above-mentioned second target value is the minimum active power of the target pumped-storage unit under the above-mentioned constraint conditions. At this time, the corresponding reactive power of the target pumped-storage unit is the largest, so the active output of the target pumped-storage unit can be reduced, and the reactive power of the target pumped-storage unit can be retained to the maximum extent, thereby reserving more reactive capacity to provide dynamic reactive support at the DC landing point, which is beneficial to ensure the stability of the power system after the DC system to be analyzed is fed in.

[0037] In the embodiment of the present application, optionally, the first parameter includes critical voltage stiffness and power factor angle, and the second parameter includes the equivalent impedance of the receiving system seen by 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] 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 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, the value range of the active power of the DC system to be analyzed is constrained according to formula (1), and it is determined 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 point, and a 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: Equivalent impedance of the DC system to be analyzed It can be expressed by formula (2), which is as follows:

[0043]

[0044] in, is the equivalent impedance of the DC system to be analyzed relative to the receiving 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, approximately assume that for the DC point, the actual voltage stiffness (K vtg ) is calculated as follows:

[0046]

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

[0048] Generally speaking, when the starting mode of the receiving system, the grid structure and other operating conditions of the DC system do not change, the random group output change of the system equivalent impedance of the specified DC drop point is small. Based on this, it is approximately considered that for the DC drop point, the calculation formula for its actual voltage stiffness is formula (3).

[0049] Step 203: When the DC system to be analyzed is fed into the receiving system, the actual voltage stiffness at the DC drop point needs to satisfy formula (4), which is as follows:

[0050] K vtg ≥K c (4);

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

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

[0053]

[0054] Step 205: Ignore the equivalent impedance of the receiving system The role of resistance in the middle is to use pure reactance (X sys ) is used to simulate the equivalent impedance of the receiving system, and formula (5) is transformed into formula (6) as shown below:

[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 may be performed.

[0057] Step 206, calculate the two sides of formula (6) Eliminate them and take the square of the modulus values ​​on both sides to get formula (7), which is as follows:

[0058]

[0059] Step 207, assuming that the voltage at the DC point is approximately 1, then formula (7) can be regarded as the active power P of the DC system to be analyzed. DC The quadratic equation of one variable is transformed into formula (1), 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 also includes actual voltage stiffness, and the second parameter also includes droop coefficient, actual active power, and minimum active power; the first active power constraint formula (8) of the target pumped storage unit is as follows:

[0061]

[0062] 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.

[0063] In this embodiment, the first active power constraint of the target pumped storage unit is established based on the DC drop point. The first active power constraint can be expressed by formula (8).

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

[0065]

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

[0067] In this embodiment, when the DC system to be analyzed feeds into the receiving system, the power of the corresponding target power system needs to be balanced. Therefore, a power balance constraint formula (9) is established based on the above power balance.

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

[0069]

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

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

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

[0073]

[0074] Among them, E ratei is the maximum water storage capacity 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 capacity 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 of the above embodiment, in order to fully illustrate the specific implementation process of this embodiment, another pumped storage-DC active power coordinated optimization scheduling method is provided, the method comprising:

[0079] It should be noted that the target power system in this embodiment is as follows: Figure 2 As shown, the LCC-HVDC (high voltage direct current transmission) system, i.e., the DC system to be analyzed in the above embodiment, bus 1 is the receiving end system. Bus 30 and bus 39 are respectively installed with target pumped storage units G30 and G39. These two target pumped storage units provide reactive power for the above DC system to be analyzed and are highly 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 the target pumped storage units G30 and G39 is shown in Table 2.

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

[0081]

[0082] Table 2 Main parameters of pumped storage units

[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, i.e. the rated power in Table 1, is 1000MW, the constraint of formula (1) is satisfied.

[0087] Substituting the data in Table 1 and Table 2 into the above objective function and the corresponding objective constraints, with the maximum value of the objective function as the goal, the first target value of the active power of the DC system to be analyzed is 1100MW, and the second target value of the active power of the target pumped storage unit G30 is 130MW, and the second target value of the active power of the target pumped storage unit G39 is 200MW. The water storage capacity of the target pumped storage unit G30 is 800m3, and the water storage capacity at the target pumped storage unit G39 is 960m3. 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, satisfying the constraint conditions of formula (1), and effectively realizing the coordinated optimization scheduling of pumped storage-DC active power.

[0088] Further, as Figure 1 The specific implementation of the method, the embodiment of the present application provides a pumped storage-DC active power coordinated optimization scheduling device, such as Figure 3 As shown, the device comprises:

[0089] A determination module, used 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;

[0090] An acquisition module, used for acquiring a first parameter of the DC system to be analyzed and a second parameter corresponding to the target pumped storage unit;

[0091] An establishment module is used to establish an objective function and an objective constraint condition according to the first parameter and the second parameter, wherein the objective function is established with the maximum water storage capacity of the target pumped storage unit as the optimization target, and the objective constraint condition includes a power balance constraint, an active power constraint of the DC system to be analyzed, and an active power constraint and a water storage capacity constraint of the target pumped storage unit;

[0092] An adjustment module is used 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 condition is satisfied and the objective function takes a maximum value, and adjust the current active power of the DC system to be analyzed to the first target value and 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 the functional units involved in the pumped storage-DC active power coordinated optimization scheduling device provided in the embodiment of the present application, reference can be made to Figure 1 to Figure 2 The corresponding description in the method will not be repeated here.

[0094] The present application also provides a computer device, which may be a personal computer, a server, a network device, etc. Figure 4 As shown, the computer device includes a bus, a processor, a memory and a communication interface, and may also include an input and 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, the steps in each method embodiment are implemented.

[0095] Those skilled in the art will understand that Figure 4 The structure shown in the figure is only a block diagram of a part of the structure 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 certain components, or have a different arrangement of components.

[0096] 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 thereon. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0097] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[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 used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties.

[0099] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and 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-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0100] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, 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, they should be considered to be within the scope of this specification.

[0101] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for coordinated optimization and dispatching of pumped storage-DC active power, characterized in that: include: Determining 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; Acquire a first parameter of the DC system to be analyzed and a second parameter corresponding to the target pumped storage unit; According to the first parameter and the second parameter, an objective function and an objective constraint condition are established, wherein the objective function is established with the maximum water storage capacity of the target pumped storage unit as the optimization target, and the objective constraint condition includes a power balance constraint, an active power constraint of the DC system to be analyzed, and an active power constraint and a water storage capacity constraint of the target pumped storage unit; When it is determined that the target constraint condition is satisfied and the target function takes the maximum value, 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 determined, and the current active 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.

2. The method according to claim 1, characterized in that The first parameter includes critical voltage stiffness and power factor angle; the second parameter includes the equivalent impedance of the receiving 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 system seen from the DC system to be analyzed, is the power factor angle of the DC system to be analyzed.

3. The method according to claim 2, characterized in that The first parameter also includes actual voltage stiffness, and the second parameter also includes droop coefficient, actual active power, and 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.

4. The method according to claim 3, characterized in that The second parameter also includes the number of the target pumped storage units; the power balance constraint formula is as follows: Among them, P i g is the active power of the i-th conventional unit, N g is the number of conventional units, is the total system load of the receiving system.

5. The method according to claim 4, characterized in that The second parameter also includes the maximum active power; the second active power constraint formula of the target pumped storage unit is as follows: in, is the maximum active power of the i-th target pumped storage unit.

6. The method according to claim 5, characterized in that The second parameter also includes initial water storage capacity, maximum water storage capacity, maximum water storage percentage, minimum water storage percentage, and conversion coefficient; the water storage capacity 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, τ min is the minimum water storage percentage of the target pumped storage unit, 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, τ max is the maximum water storage percentage of the target pumped-storage unit.

7. The method according to claim 6, characterized in that The objective function formula is as follows:

8. A pumped storage-DC active power coordinated optimization dispatching device, characterized in that: include: A determination module, used 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, used for acquiring a first parameter of the DC system to be analyzed and a second parameter corresponding to the target pumped storage unit; An establishment module is used to establish an objective function and an objective constraint condition according to the first parameter and the second parameter, wherein the objective function is established with the maximum water storage capacity of the target pumped storage unit as the optimization target, and the objective constraint condition includes a power balance constraint, an active power constraint of the DC system to be analyzed, and an active power constraint and a water storage capacity constraint of the target pumped storage unit; An adjustment module is used 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 condition is satisfied and the objective function takes a maximum value, and adjust the current active power of the DC system to be analyzed to the first target value and the current active power of the target pumped-storage unit to the second target value.

9. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

10. A computer device comprising a storage medium, a processor, and a computer program stored in the storage medium and executable on the processor, characterized in that: When the processor executes the computer program, the method according to any one of claims 1 to 7 is implemented.

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