Power grid modeling method and device based on rotating power flow controller and energy router

Abstract

The present invention provides a power grid modeling method and device based on a rotating power flow controller and an energy router. The method comprises determining the controller investment cost of a rotating power flow controller based on the installation position, capacity and power of the rotating power flow controller; determining the routing investment cost of the energy router based on the capacity and power of the energy router; determining the equivalent annual investment cost of the rotating power flow controller and the energy router based on the civil construction cost, controller investment cost and routing investment cost of the rotating power flow controller and the energy router; determining the operation of the rotating power flow controller and the energy router to determine the power grid operation cost of the power grid; and performing power grid modeling on the rotating power flow controller and the energy router based on the equivalent annual investment cost and the power grid operation cost, so as to improve the high-proportion consumption and power supply reliability of the distribution network.

Description

Technical Field

[0001] The present invention relates to the technical field of power flow modeling of a transmission and distribution network, and in particular to a power grid modeling method and device based on a rotating power flow controller and an energy router. Background Art

[0002] At present, with the expansion of the scale of power grids, the stable and economic operation of power grids has gradually received more attention. For example, the application of interconnected power grids is becoming more and more extensive. However, while a large proportion of distributed renewable energy is connected to the interconnected power grid, it also brings problems such as uneven local load distribution and insufficient power supply capacity to the distribution system.

[0003] Some existing solutions have been proposed to alleviate the above problems by establishing a flexible AC / DC active distribution network (ADN). However, the existing flexible AC / DC active distribution network solutions are mostly focused on the optimization configuration method of active distribution network based on smart soft switch (Soft Open Point, SOP) and the expansion planning of flexible AC / DC active distribution network (ADN) connected with smart soft switch (SOP), ignoring the synergy between electromagnetic rotary power flow controller (RPFC) and energy router (ER), and unable to maximize the benefits of the power grid. Summary of the invention

[0004] The present invention provides a power grid modeling method and device based on a rotating power flow controller and an energy router, which are used to solve the problem in the prior art that a high proportion of power consumption and power supply reliability of a distribution network cannot be improved.

[0005] In one aspect, the present invention provides a power grid modeling method based on a rotating power flow controller and an energy router, comprising:

[0006] Determining a controller investment cost of the rotating power flow controller based on the installation location, capacity and power of the rotating power flow controller;

[0007] Determining a routing investment cost of the energy router based on the capacity and power of the energy router;

[0008] Determine the equivalent annual investment cost of the rotating power flow controller and the energy router based on the civil construction cost of the rotating power flow controller and the energy router, the controller investment cost, and the routing investment cost;

[0009] determining the operation of the rotational power flow controller and the energy router, and determining a grid operation cost of the grid;

[0010] Based on the equal annual value investment cost and the grid operation cost, grid modeling is performed on the rotating power flow controller and the energy router.

[0011] According to a power grid modeling method based on a rotating power flow controller and an energy router provided by the present invention, the controller investment cost of the rotating power flow controller is determined based on the installation location, capacity and power of the rotating power flow controller, and the following constraints are met:

[0012] in, and They represent the active power and reactive power of the current flowing through node i during period t, and They represent the active power and reactive power of the current flowing through node j during period t, represents the transmission loss of the current flowing through nodes i and j during period t; , , Respectively represent branches ij Transmitted active power, reactive power and installed capacity; , , , They represent the minimum active power, maximum active power, minimum reactive power and maximum reactive power of the rotating power flow controller respectively; z RPFC represents the access node of the rotary power flow controller, z ij Indicates the access lines allowed by the rotating power flow controller.

[0013] According to a power grid modeling method based on a rotating power flow controller and an energy router provided by the present invention, the routing investment cost of the energy router is determined based on the capacity and power of the energy router, and the following constraints are met:

[0014] in, and Respectively represent the active power and reactive power of the energy router access node i in time period t; and They represent the active power and reactive power of the internal energy storage of the energy router in time period t, and They represent the active power and reactive power of the photovoltaic of the energy router in period t, and The active power and reactive power of the electric vehicle of the energy router in time period t, represents the active power of the network loss of the energy router in time period t; , , and Respectively represent the internal energy storage capacity, electric vehicle capacity, photovoltaic capacity and energy router capacity of the energy router; and represent the maximum active power and the minimum active power of the energy router respectively, and Respectively represent the maximum reactive power and the minimum reactive power of the energy router; z ER represents the energy router access node, z i Indicates that the distribution network allows access to the node.

[0015] According to a power grid modeling method based on a rotating power flow controller and an energy router provided by the present invention, the formula for determining the equivalent annual investment cost of the rotating power flow controller and the energy router based on the civil construction cost of the rotating power flow controller and the energy router, the controller investment cost, and the routing investment cost is as follows:

[0016] in, F RPFC represents the investment cost of the controller; F ER represents the investment cost of the routing; F CE Indicates the civil construction cost; min F 1 Indicates the minimum equal annual investment cost; F ERD represents the construction cost of the energy router; F DG represents the photovoltaic cost of the energy router; F ESS represents the energy storage cost of the energy router; F V2G representing an electric vehicle cost of the energy router; θ represents the equal annual value operator, which is used to convert the total cost into the equal annual value cost; d represents the discount rate; L T represents the asset life cycle; RPFC, ER, and CE represent rotary power flow controller, energy router, and civil engineering, respectively.

[0017] According to a power grid modeling method based on a rotating power flow controller and an energy router provided by the present invention, the determining of the power grid operation cost of the power grid includes:

[0018] Determine the cost of purchasing electricity based on the unit electricity price;

[0019] Determine the penalty cost of abandoned light based on the unit penalty fee and abandoned light power;

[0020] Determining controller operation and maintenance costs of the rotating power flow controller based on electricity prices and the installed capacity of the rotating power flow controller;

[0021] Determining the routing operation and maintenance cost of the energy router based on the electricity price, the energy storage cost of the energy router, the electric vehicle cost, the photovoltaic cost and the capacity cost of the energy router;

[0022] Determine the loss cost based on electricity price, line loss, rotary power flow controller operation loss, and energy router operation loss;

[0023] The grid operation cost of the power grid is determined based on the power purchase cost, the curtailment penalty cost, the controller operation and maintenance cost, the routing operation and maintenance cost and the loss cost.

[0024] According to a power grid modeling method based on a rotating power flow controller and an energy router provided by the present invention, the power grid operation cost of the power grid is determined to meet the following constraints:

[0025] Among them, min F 2 represents the minimum value of the grid operation cost, F buy represents the cost of purchasing electricity, F O-RPFC represents the controller operation and maintenance cost of the rotary power flow controller, F O-ER represents the routing operation and maintenance cost of the energy router, F cur represents the penalty cost of abandoning light, F loss represents the loss cost, represents a set of typical day scenarios; u represents the current typical day scenario; Du represents the probability of the u-th typical day scenario; N represents a set of distribution network nodes; t represents the corresponding time period of a typical day; Indicates the load size of node i; It represents the peak and valley electricity price corresponding to the period t; represents the penalty cost of photovoltaic DG unit abandonment, represents abandoned optical power; k1, k2, k3, k4, and k5 represent the operation and maintenance cost coefficients of the rotary power flow controller, energy router, energy storage, electric vehicle, and photovoltaic, respectively; represents the total network loss during period t; , , They represent the operating losses of the line, rotary power flow controller and energy router during period t respectively; Indicates the line in period t ij Current; Indicates line ij resistance.

[0026] A power grid modeling method based on a rotating power flow controller and an energy router provided by the present invention also includes:

[0027] The operation of the flexible AC / DC active distribution network meets the following safe operation constraints:

[0028] in, and Respectively indicate lines ij Flow through the node during time t ij Active power and reactive power; Indicates line ij Reactance; Represents a branch set; , Respectively represent the voltages of node i and node j at time t; and Respectively represent the minimum voltage and maximum voltage of node i; Indicates line ij The maximum current value; and They represent the active power and reactive power injected into node j during period t respectively; and They represent the active power and reactive power flowing through feeder jk during period t respectively.

[0029] A power grid modeling method based on a rotating power flow controller and an energy router provided by the present invention also includes:

[0030] The energy storage operation of the internal ports of the energy router meets the following constraints:

[0031] in, and Respectively represent the energy storage capacity at time periods t and t+1; Indicates the energy storage charging efficiency; Indicates the energy storage discharge efficiency; Indicates the energy storage charging power; Indicates the energy storage discharge power; Indicates the self-discharge rate of energy storage; and Respectively represent the minimum and maximum capacity of energy storage; and Respectively represent the minimum charging power and maximum charging power of energy storage; and They represent the minimum discharge power and maximum discharge power of energy storage respectively; and They represent the energy storage discharge state and charging state respectively.

[0032] A power grid modeling method based on a rotating power flow controller and an energy router provided by the present invention also includes:

[0033] The electric vehicles at the internal ports of the energy router meet the following operating constraints:

[0034] in and They represent the electric vehicle capacity at time periods t and t+1 respectively; Indicates the charging efficiency of electric vehicles; Indicates the discharge efficiency of electric vehicles; Indicates charging power; Indicates the discharge power of electric vehicles; Indicates the self-discharge rate of electric vehicles; and They represent the minimum and maximum capacity of electric vehicles respectively; and They represent the minimum charging power and maximum charging power of electric vehicles respectively; and They represent the minimum discharge power and maximum discharge power of electric vehicles respectively; and Indicates the discharge status and charging status of the electric vehicle.

[0035] On the other hand, the present invention also provides a power grid modeling device based on a rotating power flow controller and an energy router, comprising:

[0036] A power flow controller investment cost module, used to determine the controller investment cost of the rotating power flow controller based on the installation location, capacity and power of the rotating power flow controller;

[0037] An energy router investment cost module, used to determine the routing investment cost of the energy router based on the capacity and power of the energy router;

[0038] An equal annual investment cost module, used to determine the equal annual investment cost of the rotating power flow controller and the energy router based on the civil construction cost of the rotating power flow controller and the energy router, the controller investment cost, and the routing investment cost;

[0039] an operation cost module for determining a grid operation cost of a grid based on the operation of the rotational power flow controller and the energy router;

[0040] A power grid model building module is used to build a power grid model for the rotating power flow controller and the energy router based on the equal annual value investment cost and the power grid operation cost.

[0041] The power grid modeling method and device based on a rotating power flow controller and an energy router provided by the present invention determine the controller investment cost of the rotating power flow controller based on the installation position, capacity and power of the rotating power flow controller, determine the routing investment cost of the energy router based on the capacity and power of the energy router, determine the power grid operation cost of the power grid, and perform power grid modeling on the rotating power flow controller and the energy router based on the equal annual value investment cost and the power grid operation cost, combining the characteristics of the rotating power flow controller and the energy router to minimize the equal annual value investment cost and the power grid operation cost, thereby saving costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of 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 It is a flow chart of a power grid modeling method based on a rotating power flow controller and an energy router provided in an embodiment of the present invention;

[0044] Figure 2 It is a schematic diagram of accessing a flexible AC / DC active distribution network based on a rotating power flow controller and an energy router provided by an embodiment of the present invention;

[0045] Figure 3 is a schematic diagram of the architecture of a power grid model based on a rotating power flow controller and an energy router provided in an embodiment of the present invention;

[0046] Figure 4 is a structural schematic diagram of a power grid modeling device based on a rotating power flow controller and an energy router provided in an embodiment of the present invention;

[0047] Figure 5 It is a schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0048] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0049] Figure 1 is a flow chart of a power grid modeling method based on a rotating power flow controller and an energy router provided by an embodiment of the present invention. The execution subject of the method can be a computer, a mobile phone or a smart wearable device. Figure 1 , the method may include the following steps:

[0050] 101. Determine the controller investment cost of the rotating power flow controller based on the installation location, capacity and power of the rotating power flow controller.

[0051] In this step, the rotating power flow controller, as an electromagnetic device, has the advantages of flexible control mode, high adjustment accuracy and strong reliability. The installation location, capacity and power of the rotating power flow controller can be known in advance. Reasonable planning of the location and capacity of the rotating power flow controller is conducive to improving the operating efficiency of the flexible AC / DC active distribution network (ADN), and is of great significance to promoting the development of the flexible AC / DC active distribution network. The rotating power flow controller can achieve the optimal distribution of the voltage and power flow of the active distribution network in space.

[0052] 102. Determine the routing investment cost of the energy router based on the capacity and power of the energy router.

[0053] In this step, the energy router is a device that can realize the multi-directional flow of energy and the active control of power flow. The capacity and power of the energy router can also be known in advance. The energy router provides flexible support and supply to the external system in nodes, and solves the energy imbalance in the time dimension, power quality problems and power supply reliability of important loads through reasonable optimization and scheduling of flexible port resources.

[0054] 103. Based on the civil engineering cost, controller investment cost, and routing investment cost of the rotating power flow controller and the energy router, determine the equivalent annual investment cost of the rotating power flow controller and the energy router.

[0055] In this step, the civil engineering cost can be obtained by pre-estimation. The equal annual investment cost can be understood as a method of converting the cash flow of an investment project within its effective service life into an average annual equivalent amount. The civil engineering cost, controller investment cost, and routing investment cost of the rotary power flow controller and energy router can be regarded as the upper model, that is, the determined equal annual investment cost is also the upper model. The purpose of the upper model is to obtain the minimum value of the equal annual investment cost.

[0056] 104. Determine the grid operation cost of the grid based on the operation of the rotating power flow controller and the energy router.

[0057] In this step, the grid operation cost can be regarded as the lower model. The purpose of the lower model is to obtain the minimum value of the grid operation cost.

[0058] 105. Based on the equal annual investment cost and grid operation cost, the grid modeling of rotating power flow controller and energy router is carried out.

[0059] In this step, the grid model obtained by grid modeling may include the upper model and the lower model mentioned above. The grid model obtained by grid modeling aims to minimize the equal annual value investment cost and grid operation cost.

[0060] In this embodiment, the controller investment cost of the rotating power flow controller is determined based on the installation location, capacity and power of the rotating power flow controller, the routing investment cost of the energy router is determined based on the capacity and power of the energy router, the grid operation cost of the power grid is determined, and the rotating power flow controller and the energy router are modeled based on the equal annual value investment cost and the grid operation cost, combining the characteristics of the rotating power flow controller and the energy router to minimize the equal annual value investment cost and the grid operation cost, thereby saving costs. This embodiment is equivalent to improving the high-proportion consumption and power supply reliability of the new active distribution network from two dimensions: time (power supply time of the energy router) and space (for example, the installation location of the rotating power flow controller).

[0061] In one embodiment of the present specification, the controller investment cost of the rotating power flow controller is determined based on the installation location, capacity and power of the rotating power flow controller, and the following constraints are met, such as formula (1):

[0062] (1)

[0063] Among them, in formula (1) and They represent the active power and reactive power of the current flowing through node i during period t, and They represent the active power and reactive power of the current flowing through node j during period t, represents the transmission loss of the current flowing through nodes i and j during period t; , , Respectively represent branches ij Transmitted active power, reactive power and installed capacity; , , , They represent the minimum active power, maximum active power, minimum reactive power and maximum reactive power of the rotating power flow controller respectively; z RPFC represents the access node of the rotary power flow controller, z ij Indicates the access lines allowed by the rotating power flow controller.

[0064] In this embodiment, by performing the above-mentioned constraints on the active power, reactive power of the nodes of the rotating power flow controller and the transmission loss flowing through the nodes, a more reasonable installation position, power and capacity of the rotating power flow controller can be obtained, thereby reducing costs, making the operation of the power grid more stable, and increasing the revenue of the power grid.

[0065] In an embodiment of the present specification, based on the capacity and power of the energy router, the routing investment cost of the energy router is determined, and the following constraints are satisfied, such as formula (2):

[0066] (2)

[0067] Among them, in formula (2) and They represent the active power and reactive power of the energy router access node i in time period t respectively; and They represent the active power and reactive power of the internal energy storage of the energy router in period t, and They represent the active power and reactive power of the photovoltaic of the energy router in period t, and The active power and reactive power of the electric vehicle of the energy router in period t are respectively, represents the active power of the network loss of the energy router in time period t; , , and They represent the internal energy storage capacity of the energy router, the electric vehicle capacity, the photovoltaic capacity, and the energy router capacity respectively; and Respectively represent the maximum active power and minimum active power of the energy router, and They represent the maximum reactive power and minimum reactive power of the energy router respectively; z ER represents the energy router access node, z i Indicates that the distribution network allows access to the node.

[0068] In this embodiment, the routing investment cost of the energy router may include the costs of the energy router's internal energy storage, photovoltaics, electric vehicles, and network losses. By constraining the active power, reactive power, and transmission loss of the nodes of the energy router, a more reasonable power and capacity of the energy router can be obtained, thereby reducing costs, making the operation of the power grid more stable, and increasing the benefits of the power grid.

[0069] In one embodiment of the present specification, based on the civil construction cost, controller investment cost, and routing investment cost of the rotating power flow controller and the energy router, the formula for determining the equivalent annual investment cost of the rotating power flow controller and the energy router is as shown in the following formula (3):

[0070] (3)

[0071] Among them, in formula (3) F RPFC Indicates the controller investment cost; F ER represents the routing investment cost; F CE Indicates civil engineering cost; min F 1 Indicates the minimum equal annual investment cost; F ERD represents the construction cost of the energy router; F DG represents the photovoltaic cost of the energy router; F ESS represents the energy storage cost of the energy router; F V2G represents the EV cost of the energy router; θ represents the equal annual value operator, which is used to convert the total cost into the equal annual value cost; d represents the discount rate; L T represents the asset life cycle; RPFC, ER, and CE represent rotary power flow controller, energy router, and civil engineering, respectively.

[0072] In this embodiment, the equal annual investment cost of the rotary power flow controller and the energy router is determined. The equal annual investment cost has many advantages, such as unified comparison benchmark: by converting the cash flow at different time points into the annual average, a unified comparison benchmark is provided for different investment plans; simplifying the decision-making process: the equal annual value method simplifies the investment decision-making process, allowing decision makers to intuitively compare the annual costs of various plans, so that it is easier to make economically reasonable choices; considering the time value: the equal annual value method considers the time value of money, and discounts the future cash flow to the current value through a predetermined rate of return on investment, which more accurately reflects the actual cost of the investment; suitable for special investments: especially suitable for investment decisions with limited output prices, no direct benefits or different life spans, such as environmental protection projects or fixed asset renewal decisions. In summary, the calculation method of equal annual investment cost provides an effective tool for the economic evaluation of investment plans by converting the cash flow or net present value of the investment into the average annual equal cash flow or net equal annual value. This method is particularly suitable for investment projects whose cash flow is unevenly distributed during the project cycle, which helps decision makers to more comprehensively evaluate the financial benefits of the project.

[0073] In one embodiment of the present specification, determining the grid operation cost of the grid may include:

[0074] Determine the cost of purchasing electricity based on the unit electricity price;

[0075] Determine the penalty cost of abandoned light based on the unit penalty fee and abandoned light power;

[0076] Determine the controller operation and maintenance cost of the rotating power flow controller based on the electricity price and the installed capacity of the rotating power flow controller;

[0077] Determine the routing operation and maintenance cost of the energy router based on the electricity price, the energy storage cost of the energy router, the electric vehicle cost, the photovoltaic cost and the capacity cost of the energy router;

[0078] Determine the loss cost based on electricity price, line loss, rotary power flow controller operation loss, and energy router operation loss;

[0079] The grid operation cost of the power grid is determined based on the power purchase cost, the penalty cost for abandoned light, the controller operation and maintenance cost, the routing operation and maintenance cost, and the loss cost.

[0080] In this embodiment, when determining the electricity purchase cost based on the unit electricity price, factors such as different unit electricity prices that may correspond to different time periods and electricity price gradients may be considered. In general, the electricity purchase cost can be determined according to the highest unit electricity price. The penalty fee for abandoned light refers to a kind of economic compensation that power generation companies need to pay when the electricity generated by power generation (such as photovoltaic power generation) cannot be fully absorbed by the power grid and is forced to abandon its use. This fee is usually used to encourage power generation companies to reasonably arrange power generation plans and reduce the waste of renewable energy caused by power grid scheduling problems. When determining the operation and maintenance cost of the controller, the level of electricity prices can affect the economy of the operation of the rotary flow controller. High electricity prices may increase its frequency of use, thereby affecting the operation and maintenance costs; the installed capacity of the rotary flow controller determines its ability to regulate the power grid. The larger the capacity, the higher the cost may be, but the better the regulation effect. When determining the route operation and maintenance costs of the energy router, the level of electricity prices can affect the cost of the energy router to purchase and sell electricity in different time periods; the cost of the energy storage system, including the purchase, maintenance and replacement costs of batteries; if the energy router serves an electric vehicle charging station, then the charging demand and cost of electric vehicles will also affect the operation and maintenance costs; for systems with integrated photovoltaic power generation, the purchase, installation and maintenance costs of photovoltaic panels also need to be taken into account; the capacity of the energy router determines its hardware cost, and the larger the capacity, the higher the cost may be. In summary, based on the cost of purchasing electricity, the penalty cost of abandoned light, the operation and maintenance cost of the controller, the operation and maintenance cost of the route, and the loss cost, the determined grid operation cost is more reasonable and comprehensive.

[0081] In an embodiment of the present specification, the grid operation cost of the grid is determined, and the following constraints may be satisfied, as shown in the following formula (4):

[0082] (4) Wherein, the min in formula (4) F 2 represents the minimum value of the grid operation cost, F buy represents the cost of purchasing electricity, F O-RPFC represents the controller operation and maintenance cost of the rotary power flow controller, F O-ER represents the routing operation and maintenance cost of the energy router, F cur represents the penalty cost of abandoning light, F loss represents the loss cost, represents a set of typical day scenarios; u represents the current typical day scenario; Du represents the probability of the u-th typical day scenario; N represents a set of distribution network nodes; t represents the corresponding time period of a typical day; Indicates the load size of node i; It represents the peak and valley electricity price corresponding to the period t; represents the penalty cost of photovoltaic DG unit abandonment, represents abandoned optical power; k1, k2, k3, k4, and k5 represent the operation and maintenance cost coefficients of the rotary power flow controller, energy router, energy storage, electric vehicle, and photovoltaic, respectively; represents the total network loss during period t; , , They represent the operating losses of the line, rotary power flow controller and energy router in period t respectively; Indicates the period t, the line ij The current; Indicates line ij resistance.

[0083] In this embodiment, the typical day scene can be selected according to predefined selection rules. For example, the predefined selection rules include the total amount, distribution, typicality and extremeness of the power grid load, wherein the total power grid load refers to the total amount of electric energy consumption borne by the power grid at a specific time point or time period, which reflects the size of the power grid and the size of the power demand; the power grid load distribution refers to the distribution of the load in different areas or different time periods of the power grid, which involves the spatial distribution and time distribution of the load, affecting the planning and operation of the power grid; the typicality of the power grid load refers to the general characteristics of the power grid load under normal operating conditions, such as daily load curves, seasonal changes, etc. These characteristics are helpful for the conventional management and dispatching of the power grid; the extremeness of the power grid load refers to the unconventional load changes that occur in the power grid under special circumstances, such as extreme weather, major events, etc., which puts higher requirements on the stability and reliability of the power grid. In summary, the typical day scene can be determined according to the above conditions, and the specific determination details can be limited according to the actual situation, which will not be listed here one by one.

[0084] In one embodiment of the present specification, the power grid modeling method based on the rotating power flow controller and the energy router further includes:

[0085] The operation of the flexible AC / DC active distribution network meets the following safety operation constraints, as shown in formula (5):

[0086] (5)

[0087] Among them, in formula (5) and Respectively indicate lines ij Flow through the node during time t ij Active power and reactive power; Indicates line ij Reactance; Represents a branch set; , Respectively represent the voltages of node i and node j at time t; and Respectively represent the minimum voltage and maximum voltage of node i; Indicates line ij The maximum current value; and They represent the active power and reactive power injected into node j during period t respectively; and They represent the active power and reactive power flowing through feeder jk during period t respectively.

[0088] In this embodiment, the safe operation constraints satisfied by the operation of the flexible AC / DC active distribution network can be classified into the lower layer model. The operation of the flexible AC / DC active distribution network satisfies the above safe operation constraints, which can ensure the stability of the grid operation.

[0089] In one embodiment of the present specification, the power grid modeling method based on the rotating power flow controller and the energy router further includes:

[0090] The energy storage operation of the internal port of the energy router satisfies the following constraints, as shown in formula (6):

[0091] (6)

[0092] Among them, in formula (6) and Respectively represent the energy storage capacity at time periods t and t+1; Indicates the energy storage charging efficiency; Indicates the energy storage discharge efficiency; Indicates the energy storage charging power; Indicates the energy storage discharge power; Indicates the self-discharge rate of energy storage; and Respectively represent the minimum and maximum capacity of energy storage; and Respectively represent the minimum charging power and maximum charging power of energy storage; and They represent the minimum discharge power and maximum discharge power of energy storage respectively; and They represent the energy storage discharge state and charging state respectively.

[0093] In this embodiment, the constraints satisfied by the energy storage operation of the internal ports of the energy router can also be classified into the lower-level model. Energy storage at the internal ports of the energy router may refer to the storage and release of electric energy by the energy router through its internal energy storage system, such as supercapacitors, batteries, etc., to optimize the configuration and management of electric energy. The functions of energy storage may include: Electric energy storage and release: The energy storage system inside the energy router can store electric energy and release it when needed to meet the energy needs of different ports; Optimize electric energy configuration: Through the energy storage system, the energy router can manage electric energy more efficiently, achieve optimal configuration of electric energy, and improve energy utilization efficiency; Maintain system stability: The energy storage system helps to maintain the stable operation of the system by storing and releasing electric energy when the supply and demand of electric energy are unbalanced.

[0094] In one embodiment of the present specification, the power grid modeling method based on the rotating power flow controller and the energy router further includes:

[0095] The electric vehicles at the internal ports of the energy router meet the following operating constraints, as shown in formula (7):

[0096] (7)

[0097] Among them, in formula (7) and They represent the V2G capacity in time periods t and t+1 respectively; Indicates the charging efficiency of electric vehicles; Indicates the discharge efficiency of electric vehicles; Indicates charging power; Indicates the discharge power of electric vehicles; Indicates the self-discharge rate of electric vehicles; and They represent the minimum and maximum capacity of electric vehicles respectively; and They represent the minimum charging power and maximum charging power of electric vehicles respectively; and They represent the minimum discharge power and maximum discharge power of electric vehicles respectively; and Indicates the discharge status and charging status of the electric vehicle.

[0098] In this embodiment, the constraints satisfied by the operation of the electric vehicle at the internal port of the energy router can also be classified into the lower-level model. The electric vehicle at the internal port of the energy router refers to the port at which the energy router can provide charging services for the electric vehicle. The energy router achieves efficient interconnection with the electric vehicle by integrating the electric vehicle charging port, provides intelligent charging services for the electric vehicle, and improves the flexibility and reliability of the power grid by bidirectional energy flow and intelligent management while satisfying the above constraints.

[0099] In some other embodiments of the present specification, the power grid modeling method based on the rotating power flow controller and the energy router further includes:

[0100] The photovoltaic power generation at the internal port of the energy router meets the following operating constraints, as shown in formula (8):

[0101] (8)

[0102] Among them, the Indicates the real-time output of photovoltaic power. Indicates the photovoltaic access capacity.

[0103] In this embodiment, the operation constraints satisfied by the photovoltaic power plants at the internal ports of the energy router belong to the lower-layer model. The photovoltaic power plants at the internal ports of the energy router satisfy the above operation constraints, which can ensure the stability of the grid operation.

[0104] In some other embodiments of the present specification, the power grid modeling method based on the rotating power flow controller and the energy router further includes:

[0105] The operation of the electromagnetic rotating power flow controller meets the following constraints, as shown in formula (9):

[0106] (9)

[0107] Among them, the It is the rated regulating capacity of the electromagnetic rotary power flow controller.

[0108] In this embodiment, the constraints satisfied by the operation of the electromagnetic rotating power flow controller belong to the lower model. The operation of the electromagnetic rotating power flow controller satisfies the above constraints, which can make the operation of the power grid more stable.

[0109] In some other embodiments of the present specification, grid modeling of the rotating power flow controller and the energy router based on the equal annual value investment cost and the grid operation cost may include:

[0110] The equal annual investment cost is used as the upper model of the power grid model after the power grid modeling, and the power grid operation cost is used as the lower model of the power grid model. The cost of the upper model and the cost of the lower model are added to obtain the total cost. The power grid model is to minimize the total cost. Specifically, the cost of the upper model and the cost of the lower model can be iteratively calculated, and the calculation is stopped when the preset number of iterations is met. During the iterative calculation process, the upper result processed by the upper model can be passed to the lower model. While satisfying the upper result, the lower model obtains the lower result, and the lower result is passed to the upper model. While satisfying the lower result, the upper model obtains the upper result. When the preset number of iterations is reached, the calculation is terminated. The purpose of the power grid model is to obtain the optimal solution that satisfies both the upper model and the lower model. For example, it can be to obtain the most reasonable position and capacity of the rotating power flow controller, as well as the capacity of the energy router.

[0111] Figure 2 It is a schematic diagram of accessing a flexible AC / DC active distribution network based on a rotating power flow controller and an energy router provided by an embodiment of the present invention; Figure 3 Schematic diagram of the architecture of a power grid model based on a rotating power flow controller and an energy router provided by an embodiment of the present invention. Figure 2 The energy router can communicate with the battery energy storage (P B )、Photovoltaic power generation(P PV ) and electric vehicles (P EV ), the energy router transmits electric energy to the battery energy storage and also transmits electric energy to the electric vehicle, and the photovoltaic power generation transmits electric energy to the energy router. The energy router can be connected to the flexible AC / DC active distribution network through the AC / DC grid-connected interface. The rotating power flow controller can be connected to multiple feeders, for example, feeder 1 and feeder 2. The rotating power flow controller can be connected to photovoltaics, loads, electric vehicles and energy routers through feeders, and the load can be a flexible load. The rotating power flow controller can be connected to the flexible AC / DC active distribution network through a transformer (high voltage / low voltage). The flexible AC / DC active distribution network can be flexibly dispatched according to the distribution network resources (such as renewable resources and net load, etc.), that is, it can be flexibly supplied according to flexibility requirements.

[0112] See also Figure 3 , the power grid model may include an upper model and a lower model. The power grid model can be used to access the flexible AC / DC active distribution network. The upper model is the planning layer, which is to realize the site selection and capacity determination of the rotating power flow controller (RPFC) and the energy router (ER). Its goal (that is, the objective function) is to achieve the minimum equal annual investment cost of the rotating power flow controller (RPFC) and the energy router (ER). The constraints of the goal may include the location and capacity of the RPFC, the location and capacity of the RE, and the network topology. The decision variables may include the location and capacity of the RPFC and the RE.

[0113] The lower model is the optimization operation layer, and its goal (that is, the objective function) is to achieve the minimum distribution network operation cost. The constraints of the goal may include branch flow constraints, power balance constraints, RPFC transmission power constraints, ER charging and discharging power constraints, ADN operation safety constraints, etc. Decision variables may include RPFC transmission power and ER charging and discharging power. The upper model can pass the installation location and capacity of RPFC and ER to the lower model, and the lower model can pass the distribution network operation cost to the upper model, so that after iterative calculation, both the upper and lower models meet these conditions.

[0114] Based on the same general inventive concept, the present invention also protects a power grid modeling device based on a rotating power flow controller and an energy router, such as Figure 4 The following is a description of the power grid modeling device based on the rotating power flow controller and the energy router provided by the present invention. The power grid modeling device based on the rotating power flow controller and the energy router described below and the power grid modeling method based on the rotating power flow controller and the energy router described above can be referred to each other.

[0115] The power grid modeling device based on the rotating power flow controller and the energy router includes: a power flow controller investment cost module 201, an energy router investment cost module 202, an equal annual value investment cost module 203, an operation cost module 204 and a power grid model building module 205.

[0116] The power flow controller investment cost module 201 is used to determine the controller investment cost of the rotating power flow controller based on the installation location, capacity and power of the rotating power flow controller;

[0117] The energy router investment cost module 202 is used to determine the routing investment cost of the energy router based on the capacity and power of the energy router;

[0118] The equal annual investment cost module 203 is used to determine the equal annual investment cost of the rotating power flow controller and the energy router based on the civil construction cost, controller investment cost, and routing investment cost of the rotating power flow controller and the energy router;

[0119] The operation cost module 204 is used to determine the grid operation cost of the grid based on the operation of the rotating power flow controller and the energy router;

[0120] The power grid model building module 205 is used to build power grid models for the rotating power flow controller and the energy router based on the equal annual value investment cost and the power grid operation cost.

[0121] Figure 5 It is a schematic diagram of the structure of an electronic device provided by an embodiment of the present invention.

[0122] like Figure 5 As shown, the electronic device may include: a processor 610, a communication interface 620, a memory 630 and a communication bus 640, wherein the processor 610, the communication interface 620 and the memory 630 communicate with each other through the communication bus 640. The processor 610 may call the logic instructions in the memory 630 to execute the power grid modeling method based on the rotating power flow controller and the energy router.

[0123] In addition, the logic instructions in the above-mentioned memory 630 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0124] On the other hand, the present invention also provides a computer program product, which includes a computer program. The computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the power grid modeling method based on a rotating power flow controller and an energy router provided by the above-mentioned methods.

[0125] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute the power grid modeling method based on a rotating power flow controller and an energy router provided by the above methods.

[0126] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0127] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0128] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A power grid modeling method based on a rotating power flow controller and an energy router, characterized in that: include: Determining a controller investment cost of the rotating power flow controller based on the installation location, capacity and power of the rotating power flow controller; Determining a routing investment cost of the energy router based on the capacity and power of the energy router; Determine the equivalent annual investment cost of the rotating power flow controller and the energy router based on the civil construction cost of the rotating power flow controller and the energy router, the controller investment cost, and the routing investment cost; determining a grid operation cost of a grid based on the operation of the rotational power flow controller and the energy router; Based on the equal annual value investment cost and the grid operation cost, performing grid modeling on the rotary power flow controller and the energy router; Wherein, the controller investment cost of the rotating power flow controller is determined based on the installation location, capacity and power of the rotating power flow controller, and the following constraints are met: in, and They represent the active power and reactive power of the current flowing through node i during period t, and They represent the active power and reactive power of the current flowing through node j during period t, represents the transmission loss of the current flowing through nodes i and j during period t; , , Respectively represent branches ij Transmitted active power, reactive power and installed capacity; , , , They represent the minimum active power, maximum active power, minimum reactive power and maximum reactive power of the rotating power flow controller respectively; z RPFC represents the access node of the rotary power flow controller, z ij Indicates the access lines allowed by the rotary power flow controller; The routing investment cost of the energy router is determined based on the capacity and power of the energy router, and satisfies the following constraints: in, and Respectively represent the active power and reactive power of the energy router access node i in time period t; and They represent the active power and reactive power of the internal energy storage of the energy router in time period t, and They represent the active power and reactive power of the photovoltaic of the energy router in period t, and The active power and reactive power of the electric vehicle of the energy router in time period t are respectively, represents the active power of the network loss of the energy router in time period t; , , and Respectively represent the internal energy storage capacity, electric vehicle capacity, photovoltaic capacity and energy router capacity of the energy router; and represent the maximum active power and the minimum active power of the energy router respectively, and Respectively represent the maximum reactive power and the minimum reactive power of the energy router; z ER represents the energy router access node, z i Indicates that the distribution network allows access to the node; The energy storage operation of the internal ports of the energy router meets the following constraints: in, and Respectively represent the energy storage capacity at time periods t and t+1; Indicates the energy storage charging efficiency; Indicates the energy storage discharge efficiency; Indicates the energy storage charging power; Indicates the energy storage discharge power; Indicates the self-discharge rate of energy storage; and Respectively represent the minimum and maximum capacity of energy storage; and Respectively represent the minimum charging power and maximum charging power of energy storage; and They represent the minimum discharge power and maximum discharge power of energy storage respectively; and They represent the energy storage discharge state and charging state respectively.

2. The power grid modeling method based on a rotating power flow controller and an energy router according to claim 1 is characterized in that: The formula for determining the equivalent annual investment cost of the rotating power flow controller and the energy router based on the civil construction cost of the rotating power flow controller and the energy router, the controller investment cost, and the routing investment cost is as follows: in, F RPFC represents the investment cost of the controller; F ER represents the investment cost of the routing; F CE Indicates the civil construction cost; min F 1 represents the minimum equal annual investment cost; F ERD represents the construction cost of the energy router; F DG represents the photovoltaic cost of the energy router; F ESS represents the energy storage cost of the energy router; F V2G representing an electric vehicle cost of the energy router; θ represents the equal annual value operator, which is used to convert the total cost into the equal annual value cost; d represents the discount rate; L T represents the asset life cycle; RPFC, ER, and CE represent rotary power flow controller, energy router, and civil engineering, respectively.

3. The power grid modeling method based on a rotating power flow controller and an energy router according to claim 1 is characterized in that: The determining of the grid operation cost of the grid comprises: Determine the cost of purchasing electricity based on the unit electricity price; Determine the penalty cost of abandoned light based on the unit penalty fee and abandoned light power; Determining controller operation and maintenance costs of the rotating power flow controller based on electricity prices and the installed capacity of the rotating power flow controller; Determining the routing operation and maintenance cost of the energy router based on the electricity price, the energy storage cost of the energy router, the electric vehicle cost, the photovoltaic cost and the capacity cost of the energy router; Determine the loss cost based on electricity price, line loss, rotary power flow controller operation loss, and energy router operation loss; The grid operation cost of the power grid is determined based on the power purchase cost, the curtailment penalty cost, the controller operation and maintenance cost, the routing operation and maintenance cost and the loss cost.

4. The power grid modeling method based on a rotating power flow controller and an energy router according to claim 3 is characterized in that: The grid operation cost of the grid is determined to meet the following constraints: Among them, min F 2 represents the minimum value of the grid operation cost, F buy represents the cost of purchasing electricity, F O-RPFC represents the controller operation and maintenance cost of the rotary power flow controller, F O-ER represents the routing operation and maintenance cost of the energy router, F cur represents the penalty cost of abandoning light, F loss represents the loss cost, represents a set of typical day scenarios; u represents the current typical day scenario; Du represents the probability of the u-th typical day scenario; N represents a set of distribution network nodes; t represents the corresponding time period of a typical day; Indicates the load size of node i; It represents the peak and valley electricity price corresponding to the period t; represents the penalty cost of photovoltaic DG unit abandonment, represents abandoned optical power; k1, k2, k3, k4, and k5 represent the operation and maintenance cost coefficients of the rotary power flow controller, energy router, energy storage, electric vehicle, and photovoltaic, respectively; represents the total network loss during period t; , , They represent the operating losses of the line, rotary power flow controller and energy router during period t respectively; Indicates the line in period t ij Current; Indicates line ij resistance.

5. The power grid modeling method based on a rotating power flow controller and an energy router according to claim 4 is characterized in that: Also includes: The operation of the flexible AC / DC active distribution network meets the following safe operation constraints: in, and Respectively indicate lines ij Flow through the node during time t ij Active power and reactive power; Indicates line ij Reactance; Represents a branch set; , Respectively represent the voltages of node i and node j at time t; and Respectively represent the minimum voltage and maximum voltage of node i; Indicates line ij The maximum current value; and They represent the active power and reactive power injected into node j during period t respectively; and They represent the active power and reactive power flowing through feeder jk during period t respectively.

6. The power grid modeling method based on a rotating power flow controller and an energy router according to claim 5, characterized in that: Also includes: The electric vehicles at the internal ports of the energy router meet the following operating constraints: in and They represent the electric vehicle capacity at time periods t and t+1 respectively; Indicates the charging efficiency of electric vehicles; Indicates the discharge efficiency of electric vehicles; Indicates charging power; Indicates the discharge power of electric vehicles; Indicates the self-discharge rate of electric vehicles; and They represent the minimum and maximum capacity of electric vehicles respectively; and They represent the minimum charging power and maximum charging power of electric vehicles respectively; and They represent the minimum discharge power and maximum discharge power of electric vehicles respectively; and Indicates the discharge status and charging status of the electric vehicle.

7. A power grid modeling device based on a rotating power flow controller and an energy router, characterized in that: The device uses the power grid modeling method based on a rotating power flow controller and an energy router according to any one of claims 1 to 6, and the device includes: A power flow controller investment cost module, used to determine the controller investment cost of the rotating power flow controller based on the installation location, capacity and power of the rotating power flow controller; An energy router investment cost module, used to determine the routing investment cost of the energy router based on the capacity and power of the energy router; An equal annual investment cost module, used to determine the equal annual investment cost of the rotating power flow controller and the energy router based on the civil construction cost of the rotating power flow controller and the energy router, the controller investment cost, and the routing investment cost; an operation cost module for determining a grid operation cost of a grid based on the operation of the rotational power flow controller and the energy router; A power grid model building module is used to build a power grid model for the rotating power flow controller and the energy router based on the equal annual value investment cost and the power grid operation cost.

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