Day-ahead scheduling method and device based on distributed power flow control, equipment and medium

Abstract

The invention relates to the technical field of day-ahead scheduling of power grid operation, in particular to a day-ahead scheduling method, device, equipment and medium based on distributed power flow control, and the method comprises the steps: inputting the information of each node in a network, inputting the conductance and susceptance values of a line, and inputting the serial number, the capacity and the position of a converter at the series side of a DPFC (Distributed Power Flow Controller) in the line; adding the additional power of a DPFC element into the network, and forming a day-ahead scheduling model by taking the lowest integration of the operation cost and the wind curtailment cost of a conventional unit as an optimization target; and solving the day-ahead scheduling model to obtain the total output voltage of the DPFC series side, distributing the output voltage to each DPFC series side converter on a corresponding line to realize coordinated control, and scheduling each unit based on a day-ahead scheduling plan. The generating capacity of a conventional unit can be adjusted, so that wind power consumption is optimized, and the wind abandoning rate of the system is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of day-ahead dispatching of power grid operation, and in particular to a day-ahead dispatching method, device, equipment and medium based on distributed power flow control. Background Art

[0002] As the world pays more and more attention to renewable energy, the proportion of new energy in the power system is increasing year by year. Wind power generation is one of the important sources of clean energy today, and the abundant wind resources in my country's coastal areas provide conditions for the vigorous development of wind energy.

[0003] However, as the proportion of wind power increases, the challenges faced by the power system in terms of wind power absorption capacity are becoming increasingly prominent. Wind power as a power source is intermittent and uncertain, which may lead to the risk of overload or over-generation of the power grid during off-peak and peak hours of wind power generation. Therefore, optimizing wind power absorption is a common requirement for reducing carbon emissions and ensuring efficient and safe operation of the power grid.

[0004] The information disclosed in this background technology section is only intended to deepen the understanding of the overall background technology of the present invention, and should not be regarded as acknowledging or suggesting in any form that the information constitutes the prior art already known to those skilled in the art. Summary of the invention

[0005] The present invention provides a day-ahead scheduling method, device, equipment and medium based on distributed power flow control, thereby effectively solving the problems in the background technology.

[0006] In order to achieve the above object, the technical solution adopted by the present invention is: a day-ahead scheduling method based on distributed power flow control, comprising the following steps:

[0007] Input the information of each node in the network, input the line conductance and susceptance values, input the number, capacity and position of the series-side converter of the distributed power flow controller DPFC in the line;

[0008] The additional power of DPFC components is added to the network, and a day-ahead dispatch model is formed with the lowest combined operating cost and wind curtailment cost of conventional units as the optimization target;

[0009] The day-ahead dispatch model is solved to obtain the total output voltage of the DPFC series side, and the output voltage is allocated to each DPFC series side converter on the corresponding line to achieve coordinated control, and each unit is dispatched based on the day-ahead dispatch plan.

[0010] Furthermore, the optimization objectives include:

[0011]

[0012] Where T is the total number of time periods within the target range, N is the total number of units within the target range, and C SSit =m it S STi +n it S SDi is the start-up and shutdown cost of conventional unit i, m it 0-1 variable for unit startup, n it is a 0-1 variable indicating unit shutdown, S STi is the startup cost of conventional unit i, S SDi is the downtime cost of conventional unit i, C Git is the power generation cost of conventional unit i at time t, p is the penalty function factor, is the wind power abandoned at time t, and ΔT is the time granularity of the power generation plan.

[0013] Furthermore, the wind curtailment cost is represented by a penalty function.

[0014] Furthermore, the day-ahead scheduling model further includes:

[0015] A power balance constraint, wherein the additional power of the DPFC element on the bus connected to the line is added to the power balance constraint;

[0016] Inequality constraints, the power output limit of the DPFC and the output voltage limit of the series side element are added to the inequality constraints.

[0017] Furthermore, the method of allocating output voltages to the DPFC series-side converters on the corresponding lines to achieve coordinated control includes the following steps:

[0018] Calculate the sensitivity SEN of each line flow in the network to the DPFC terminal voltage s With SEN r ;

[0019] Compare SEN s With SEN r The size of the voltage output strategy of each component on the DPFC series side is determined as follows:

[0020] For SEN s >SEN r In the case of , the DPFC series side components close to the sending end are scheduled first;

[0021] For SEN s <SEN r In such a case, the DPFC series side components close to the receiving end are preferentially dispatched.

[0022] Furthermore, the sensitivity SEN of each line flow in the calculation network to the DPFC terminal voltage is calculated.s With SEN r ,include:

[0023]

[0024] In the formula, s and r represent the sending end or receiving end of the DPFC installation line, j is other nodes in the network, and P ij is the active component of the power flow between nodes i and j, U i is the bus voltage at node i, G ij is the real part of the (i, j) element in the node admittance matrix, B ij is the imaginary part of the (i, j) element in the node admittance matrix, θ ij is the phase angle difference between nodes i and j.

[0025] Furthermore, the prioritizing of scheduling the DPFC series side elements close to the sending end includes:

[0026] For the n series-side components on the line, they are numbered starting from the busbar closest to the sending end, k = 1, 2, 3, ..., n. Starting from k = 1, the components are numbered according to their maximum voltage U k，max Allocate output until k is called Ds components so that the circuit U se Demand, namely:

[0027]

[0028] Among them, U 0，max Defined as zero.

[0029] Furthermore, the prioritizing of scheduling the DPFC series side elements close to the receiving end includes:

[0030] For the n series-side elements on the line, they are numbered starting from the busbar closest to the receiving end, k = 1, 2, 3, ..., n. Starting from k = 1, the elements are numbered according to their maximum voltage U k，max Allocate output until k is called Dr components so that the circuit U se Demand, namely:

[0031]

[0032] Furthermore, the comparison SEN s With SEN r The size of the DPFC series side components determines the voltage output strategy, including:

[0033] For SEN s =SEN r In the case of , the output voltage of each component is distributed according to the following rules:

[0034]

[0035] The present invention also includes a day-ahead scheduling device based on distributed power flow control, using the above method, the device comprising:

[0036] An input unit is used to input information of each node in the network, input line conductance and susceptance values, and input the serial side converter number, capacity and position in the line of the distributed power flow controller DPFC;

[0037] A modeling unit is used to add the additional power of DPFC components to the network and form a day-ahead dispatch model with the lowest combined operating cost and wind curtailment cost of conventional units as the optimization target;

[0038] The solving and dispatching unit is used to solve the day-ahead dispatching model, obtain the total output voltage of the DPFC series side, allocate the output voltage to each DPFC series side converter on the corresponding line to achieve coordinated control, and dispatch each unit based on the day-ahead dispatching plan.

[0039] The present invention also includes a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method described above is implemented.

[0040] The present invention also includes a storage medium on which a computer program is stored. When the computer program is executed by a processor, the method described above is implemented.

[0041] The beneficial effects of the present invention are as follows: the present invention can adjust the power generation of conventional units to optimize wind power consumption and reduce the wind abandonment rate of the system. According to the characteristics of the distributed power flow controller that can provide distributed control, the connection between the line end where the distributed power flow controller is located and other busbars is considered, and according to the position and capacity of each component on the series side of the distributed power flow controller, the output voltage of each unit is reasonably configured, the execution efficiency of the distributed power flow controller for the dispatching command is optimized, and the distributed power flow controller is used to optimize the power grid operation state, so as to better consume wind power. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0043] Figure 1 is a flow chart of the method in Example 1;

[0044] Figure 2 It is a structural schematic diagram of the device in Example 1;

[0045] Figure 3 is a flow chart of the method in Example 2;

[0046] Figure 4 It is a structural schematic diagram of the computer device of the present invention. DETAILED DESCRIPTION

[0047] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0048] Embodiment 1:

[0049] like Figure 1 As shown: A day-ahead scheduling method based on distributed power flow control includes the following steps:

[0050] Input the information of each node in the network, input the line conductance and susceptance values, input the number, capacity and position of the series-side converter of the distributed power flow controller DPFC in the line;

[0051] The additional power of DPFC components is added to the network, and a day-ahead dispatch model is formed with the lowest combined operating cost and wind curtailment cost of conventional units as the optimization target;

[0052] The day-ahead dispatch model is solved to obtain the total output voltage of the DPFC series side, and the output voltage is allocated to each DPFC series side converter on the corresponding line to achieve coordinated control, and each unit is dispatched based on the day-ahead dispatch plan.

[0053] This embodiment simultaneously considers the influence of the distributed power flow controller on the active and reactive power injection of the node, and adds the power balance equation constraint and the distributed power flow controller capacity inequality constraint considering the power injection of the distributed power flow controller. By solving this optimization problem, it is possible to determine the voltage that the line requires the distributed power flow controller to output on the series side, and then determine the output voltage distribution strategy of each component on the series side by comparing the sensitivity of the line flow to the voltage at the end of the distributed power flow controller. The day-ahead scheduling method utilizes the function of the distributed power flow controller to flexibly adjust the output voltage and control the line flow. It can improve the utilization efficiency of the distributed power flow controller components and the safety of the line operation while ensuring the absorption of new energy. The distributed power flow controller is used to optimize the power grid operation state, thereby better absorbing wind power.

[0054] In this embodiment, the optimization objectives include:

[0055]

[0056] Where T is the total number of time periods within the target range, N is the total number of units within the target range, and C SSit =m it S STi +n it S SDi is the start-up and shutdown cost of conventional unit i, m it 0-1 variable for unit startup, n it is a 0-1 variable indicating unit shutdown, S STi is the startup cost of conventional unit i, S SDi is the downtime cost of conventional unit i, C Git is the power generation cost of conventional unit i at time t, p is the penalty function factor, is the wind power abandoned at time t, and ΔT is the time granularity of the power generation plan.

[0057] The wind curtailment cost is represented by a penalty function.

[0058] In this embodiment, the day-ahead scheduling model also includes:

[0059] Power balance constraint, the additional power of DPFC components on the bus connected to the line is added to the power balance constraint;

[0060] Inequality constraints, the power output limit of DPFC and the output voltage limit of series side components are added to the inequality constraints.

[0061] The output voltage is distributed to each DPFC series side converter on the corresponding line to achieve coordinated control, including the following steps:

[0062] Calculate the sensitivity SEN of each line flow in the network to the DPFC terminal voltage s With SEN r ;

[0063] Compare SEN s With SEN r The size of the voltage output strategy of each component on the DPFC series side is determined as follows:

[0064] For SEN s >SEN r In the case of , the DPFC series side components close to the sending end are scheduled first;

[0065] For SEN s <SEN r In such a case, the DPFC series side components close to the receiving end are preferentially dispatched.

[0066] Calculate the sensitivity SEN of each line flow in the network to the DPFC terminal voltage sWith SEN r ,include:

[0067]

[0068] In the formula, s and r represent the sending end or receiving end of the DPFC installation line, j is other nodes in the network, and P ij is the active component of the power flow between nodes i and j, U i is the bus voltage at node i, G ij is the real part of the (i, j) element in the node admittance matrix, B ij is the imaginary part of the (i, j) element in the node admittance matrix, θ ij is the phase angle difference between nodes i and j.

[0069] Among them, the DPFC series side components close to the sending end are preferentially dispatched, including:

[0070] For the n series-side components on the line, they are numbered starting from the busbar closest to the sending end, k = 1, 2, 3, ..., n. Starting from k = 1, the components are numbered according to their maximum voltage U k，max Allocate output until k is called Ds components so that the circuit U se Demand, namely:

[0071]

[0072] Among them, U 0，max Defined as zero.

[0073] Prioritize the scheduling of DPFC series side components close to the receiving end, including:

[0074] For the n series-side elements on the line, they are numbered starting from the busbar closest to the receiving end, k = 1, 2, 3, ..., n. Starting from k = 1, the elements are numbered according to their maximum voltage U k，max Allocate output until k is called Dr components so that the circuit U se Demand, namely:

[0075]

[0076] As a preferred embodiment of the above, compare SEN s With SEN r The size of the DPFC series side components determines the voltage output strategy, including:

[0077] For SEN s =SEN r In the case of , the output voltage of each component is distributed according to the following rules:

[0078]

[0079] like Figure 2 As shown, this embodiment also includes a day-ahead scheduling device based on distributed power flow control, using the above method, the device includes:

[0080] An input unit is used to input information of each node in the network, input line conductance and susceptance values, and input the serial side converter number, capacity and position in the line of the distributed power flow controller DPFC;

[0081] A modeling unit is used to add the additional power of DPFC components to the network and form a day-ahead dispatch model with the lowest combined operating cost and wind curtailment cost of conventional units as the optimization target;

[0082] The solving and dispatching unit is used to solve the day-ahead dispatching model, obtain the total output voltage of the DPFC series side, allocate the output voltage to each DPFC series side converter on the corresponding line to achieve coordinated control, and dispatch each unit based on the day-ahead dispatching plan.

[0083] Embodiment 2:

[0084] This embodiment includes a method for optimizing the day-ahead dispatch of wind power consumption by using a distributed power flow controller, such as Figure 3 As shown, the strategy formulation method includes the following steps:

[0085] Step S1), input the information of each node in the network, input the line conductance and susceptance values, input the DPFC series side converter number, capacity and position in the line.

[0086] Step S2), add the additional power of DPFC components to the network, and form a day-ahead dispatch model with the lowest combined operating cost and wind curtailment cost of conventional units as the optimization target. The wind curtailment cost is represented by a penalty function to achieve the priority of wind power consumption. The additional power calculation method is:

[0087]

[0088] Among them, P sr，se and Q sr，se is the power added by the DPFC series part at the line sending end, P rs，se and Q rs，se is the power superimposed by the DPFC series part at the receiving end of the line, g sr and b sr are line conductance and susceptance, U se ∠θ se is the voltage source equivalent to the series connection of DPFC, U s ∠θ s and U r ∠θr is the voltage of the busbars at both ends of the line.

[0089] The optimization target calculation method is:

[0090]

[0091] Where T is the total number of time periods within the target range, N is the total number of units within the target range, and C SSit =m it S STi +n it S SDi is the start-up and shutdown cost of conventional unit i, M it 0-1 variable for unit startup, n it is a 0-1 variable indicating unit shutdown, S STi is the startup cost of conventional unit i, S SDi is the downtime cost of conventional unit i, C Git is the power generation cost of conventional unit i at time t, is the penalty function factor, is the wind power abandoned at time t, and ΔT is the time granularity of the power generation plan.

[0092] The equality and inequality constraints of the optimization problem include:

[0093]

[0094]

[0095] P Gi , min ≤P Gi ≤P Gi，max ;

[0096] QG i，min ≤Q Gi ≤Q Gi，max ;

[0097] U i，min ≤U i ≤U i，max ;

[0098] P sr，min ≤P sr ≤P sr，max ;

[0099] Q sr，min ≤Q sr ≤Q sr，max ;

[0100] U se，min ≤U se ≤U se，max ;

[0101] Among them, P Di is the active load of node i in the connected branch without DPFC device, Q Di is the reactive load of node i in the connected branch without DPFC device, P Gi is the active output of the generator at node i, Q Gi is the reactive power output of the generator at node i, U i is the node voltage, θ ij is the phase angle difference between nodes, G ij and B ij are the real and imaginary parts of the elements in the node admittance matrix, respectively, P′ Di is the active load of node i at the sending end of the DPFC branch, Q′ Di is the reactive load of node i at the sending end of the DPFC branch, P″ Di is the active load of node i at the receiving end of the DPFC branch, Q″ Di is the reactive load of node i at the receiving end of the DPFC branch, P Gi，min and P Gi，max is the upper and lower limits of the active output of the generator at node i, U i，min and U i，max is the upper and lower limits of the node voltage, P sr，min and P sr，max is the upper and lower limits of the line active power flow constrained by the DPFC capacity, Q sr，min and Q sr，max is the upper and lower limits of the line reactive power flow constrained by the DPFC capacity, U se，min and U se，max It is the upper and lower limits of the output voltage amplitude of the DPFC series side.

[0102] Step S3), solve the day-ahead dispatch model, obtain the total output voltage of the DPFC series side, allocate the output voltage to each DPFC series side converter on the corresponding line to achieve coordinated control, and dispatch each unit based on the day-ahead dispatch plan. The specific steps are:

[0103] S3.1) Calculate the sensitivity SEN of each line flow in the network to the DPFC terminal voltage s With SEN r :

[0104]

[0105] Where s and r represent the sending end or receiving end of the DPFC installation line, j is other nodes in the network, and P ij is the active component of the power flow between nodes i and j, U i is the bus voltage at node i, G ij is the real part of the (i, j) element in the node admittance matrix, B ijis the imaginary part of the (i, j) element in the node admittance matrix, θ ij is the phase angle difference between nodes i and j.

[0106] S3.2) Compare SEN s With SEN r The size of the voltage output strategy of each component on the DPFC series side is determined as follows:

[0107] 3.2.1) For SEN s >SEN r In the case of , the DPFC series side components close to the sending end are preferentially dispatched. For the n series side components on the line, they are numbered starting from the busbar close to the sending end, and are sequentially k = 1, 2, 3, ..., n. Starting from k = 1, the components are dispatched according to their maximum voltage U k，max Allocate output until k is called Ds components so that the circuit U se Demand, namely:

[0108]

[0109] Among them, U 0，max Defined as zero.

[0110] 3.2.2) For SEN s <SEN r In the case of , the DPFC series side components close to the receiving end are preferentially dispatched. For the n series side components on the line, they are numbered starting from the busbar close to the receiving end, and are sequentially k = 1, 2, 3, ..., n. Starting from k = 1, the components are dispatched according to their maximum voltage U k，max Allocate output until k is called Dr components so that the circuit U se Demand, namely:

[0111]

[0112] 3.2.3) For SEN s =SEN r In the case of , the output voltage of each component is distributed according to the following rules:

[0113]

[0114] The optimization target selected in this embodiment introduces the wind curtailment cost with a penalty factor, which can adjust the power generation of conventional units to optimize wind power consumption and reduce the wind curtailment rate of the system. According to the characteristics of the distributed power flow controller that can provide distributed control, the connection between the line end where the distributed power flow controller is located and other buses is considered, and the output voltage of each unit is reasonably configured according to the position and capacity of each component on the series side of the distributed power flow controller, so as to optimize the execution efficiency of the distributed power flow controller for the dispatch command.

[0115] See also Figure 4 The computer device 400 provided by the embodiment of the present invention includes: a processor 410 and a memory 420, wherein the memory 420 stores a computer program executable by the processor 410, and when the computer program is executed by the processor 410, the above method is executed.

[0116] The embodiment of the present invention further provides a storage medium 430 , on which a computer program is stored. When the computer program is run by the processor 410 , the above method is executed.

[0117] Among them, the storage medium 430 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable red-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, disk or optical disk.

[0118] In the description of the present invention, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. "Multiple" means two or more, unless otherwise clearly and specifically defined.

[0119] In the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0120] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, unless they are contradictory.

[0121] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code that includes one or more executable instructions for implementing the steps of a specific logical function or process, and the scope of the preferred embodiments of the present invention includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present invention belong.

[0122] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic devices), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways if necessary, and then stored in a computer memory.

[0123] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0124] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0125] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present invention have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present invention. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present invention.

Claims

1. A day-ahead scheduling method based on distributed power flow control, characterized in that: The steps include: Input the information of each node in the network, input the line conductance and susceptance values, input the number, capacity and position of the series-side converter of the distributed power flow controller DPFC in the line; The additional power of DPFC components is added to the network, and a day-ahead dispatch model is formed with the lowest combined operating cost and wind curtailment cost of conventional units as the optimization target; The day-ahead dispatch model is solved to obtain the total output voltage of the DPFC series side, and the output voltage is allocated to each DPFC series side converter on the corresponding line to achieve coordinated control, and each unit is dispatched based on the day-ahead dispatch plan.

2. The day-ahead scheduling method based on distributed power flow control according to claim 1 is characterized in that: The optimization objectives include: Where T is the total number of time periods within the target range, N is the total number of units within the target range, and C SSit =m it S STi +n it S SDi is the start-up and shutdown cost of conventional unit i, m it 0-1 variable for unit startup, n it is a 0-1 variable for unit shutdown, S STi is the startup cost of conventional unit i, S SDi is the downtime cost of conventional unit i, C Git is the power generation cost of conventional unit i at time t, p is the penalty function factor, is the wind power abandoned at time t, and ΔT is the time granularity of the power generation plan.

3. The day-ahead scheduling method based on distributed power flow control according to claim 1 is characterized in that: The wind curtailment cost is represented by a penalty function.

4. The day-ahead scheduling method based on distributed power flow control according to claim 1 is characterized in that: The day-ahead scheduling model also includes: A power balance constraint, wherein the additional power of the DPFC element on the bus connected to the line is added to the power balance constraint; Inequality constraints, the power output limit of the DPFC and the output voltage limit of the series side element are added to the inequality constraints.

5. The day-ahead scheduling method based on distributed power flow control according to claim 1 is characterized in that: The method of allocating output voltage to each DPFC series-side converter on the corresponding line to achieve coordinated control includes the following steps: Calculate the sensitivity SEN of each line flow in the network to the DPFC terminal voltage s With SEN r ; Compare SEN s With SEN r The size of the voltage output strategy of each component on the DPFC series side is determined as follows: For SEN s >SEN r In the case of , the DPFC series side components close to the sending end are scheduled first; For SEN s <SEN r In such a case, the DPFC series side components close to the receiving end are preferentially dispatched.

6. The method for day-ahead scheduling based on distributed power flow control according to claim 5, characterized in that: The sensitivity SEN of each line flow in the calculation network to the DPFC terminal voltage s With SEN r , include: In the formula, s and r represent the sending end or receiving end of the DPFC installation line, j is other nodes in the network, and P ij is the active component of the power flow between nodes i and j, U i is the bus voltage at node i, G ij is the real part of the (i,j) element in the node admittance matrix, B ij is the imaginary part of the (i,j) element in the node admittance matrix, θ ij is the phase angle difference between nodes i and j.

7. The day-ahead scheduling method based on distributed power flow control according to claim 5 is characterized in that: The method of preferentially scheduling the DPFC series side elements close to the sending end includes: For the n series-side components on the line, they are numbered starting from the busbar closest to the sending end, and are k = 1, 2, 3, ..., n. Starting from k = 1, the components are numbered according to their maximum voltage U k,max Allocate output until k is called Ds components so that the circuit U se Demand, namely: Among them, U 0,max Defined as zero.

8. The day-ahead scheduling method based on distributed power flow control according to claim 7 is characterized in that: The method of preferentially scheduling the DPFC series side components close to the receiving end includes: For the n series-side elements on the line, they are numbered starting from the busbar closest to the receiving end, and are k = 1, 2, 3, ..., n. Starting from k = 1, the elements are numbered according to their maximum voltage U k,max Allocate output until k is called Dr components so that the circuit U se Demand, namely:

9. The day-ahead scheduling method based on distributed power flow control according to claim 8, characterized in that: The comparison SEN s With SEN r The size of the DPFC series side components determines the voltage output strategy, including: For SEN s =SEN r In the case of , the output voltage of each component is distributed according to the following rules:

10. A day-ahead scheduling device based on distributed power flow control, characterized in that: Using the method according to any one of claims 1 to 9, the device comprises: An input unit is used to input information of each node in the network, input line conductance and susceptance values, and input the serial side converter number, capacity and position in the line of the distributed power flow controller DPFC; A modeling unit is used to add the additional power of DPFC components to the network and form a day-ahead dispatch model with the lowest combined operating cost and wind curtailment cost of conventional units as the optimization target; The solving and dispatching unit is used to solve the day-ahead dispatching model, obtain the total output voltage of the DPFC series side, allocate the output voltage to each DPFC series side converter on the corresponding line to achieve coordinated control, and dispatch each unit based on the day-ahead dispatching plan.

11. A computer device comprising a memory, a processor and a computer program stored in the memory 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 9 is implemented.

12. 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 9 is implemented.

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