A novel electric hybrid simulation system and method considering urban transportation integration

Abstract

This invention discloses a novel power hybrid simulation system and method that considers urban transportation integration, addressing the problem that simulation applications involving electric vehicles (EVs) in grid coordination cannot reflect the impact on the transportation system. The transient simulation collaborative management unit sends dispatch instructions from the dispatch master station unit to the EV-charging pile control unit and the EV-transportation collaborative simulation unit. The EV-charging pile control unit generates dispatch control instructions based on the dispatch instructions and sends them to the multi-dimensional hybrid simulation unit. The EV-transportation collaborative simulation unit performs long-term, grid-related collaborative simulations based on the dispatch instructions, generating time-series simulation data, which is then sent to the multi-dimensional hybrid simulation unit via the transient simulation collaborative management unit. The multi-dimensional hybrid simulation unit performs grid transient simulations based on the dispatch control instructions and time-series simulation data, generating grid transient simulation data, which is then sent to the EV-transportation collaborative simulation unit via the transient simulation collaborative management unit.

Description

Technical Field

[0001] This invention relates to the field of power system simulation technology, and in particular to a novel power hybrid simulation system that considers urban traffic integration, a novel power hybrid simulation method that considers urban traffic integration, an electronic device, and a storage medium. Background Technology

[0002] In recent years, with the acceleration of the global energy transition and the rapid development of renewable energy, the power system is facing unprecedented opportunities and challenges. The reliability and stability of the power system are affected by increasingly complex power supply modes and various new types of loads. Traditional power supply modes are gradually being replaced by more diversified and flexible ones. The widespread adoption and application of electric vehicles (EVs) has made them an important part of the power system, triggering profound changes in the dynamic relationship between power supply and consumption.

[0003] On the one hand, electric vehicles, as mobile energy storage units, can participate in various ancillary services of the power system, such as frequency regulation, voltage regulation, and peak shaving and valley filling, thus contributing to the stable operation of the power system. On the other hand, due to the uncertainty and volatility of electric vehicle charging and discharging, their large-scale integration may have a profound impact on the power balance, frequency stability, transient stability, and voltage stability of the power grid. Especially when the concentration of electric vehicle charging is high, the power grid may face problems such as instantaneous overload, voltage drop, and frequency fluctuation.

[0004] Currently, many power system simulation technologies cannot reflect the impact of traffic systems. For example, they cannot reflect traffic congestion on certain road sections, fluctuations in the average daily load of the system caused by holiday travel and the influx of vehicles from other areas, or changes in charging demand at charging stations. Summary of the Invention

[0005] This invention provides a novel electric hybrid simulation system that considers urban traffic integration, a novel electric hybrid simulation method that considers urban traffic integration, an electronic device, and a storage medium, which are used to solve or partially solve the technical problem that existing simulation applications for electric vehicles participating in grid coordination cannot reflect the impact of traffic systems.

[0006] This invention provides a novel power hybrid simulation system that considers urban transportation integration. The novel power hybrid simulation system includes a transient simulation collaborative management unit, a dispatch master station unit, a multi-dimensional hybrid simulation unit, an electric vehicle-charging pile control unit, and an electric vehicle-transportation collaborative simulation unit, all connected to the transient simulation collaborative management unit; the multi-dimensional hybrid simulation unit is connected to the electric vehicle-charging pile control unit.

[0007] The transient simulation collaborative management unit is used to send the scheduling instructions issued by the scheduling master station unit to the electric vehicle-charging pile control unit and the electric vehicle-traffic collaborative simulation unit;

[0008] The electric vehicle-charging pile control unit is used to generate scheduling control instructions based on the scheduling instructions, and send the scheduling control instructions to the multi-dimensional hybrid simulation unit;

[0009] The electric vehicle-transportation cooperative simulation unit is used to perform long-term and grid-related cooperative simulations based on the scheduling instructions, generate time-series simulation data, and send the time-series simulation data to the multi-dimensional hybrid simulation unit through the transient simulation cooperative management unit.

[0010] The multidimensional hybrid simulation unit is used to perform power grid transient simulation based on the scheduling control command and the time-series simulation data, generate power grid transient simulation data, and send the power grid transient simulation data to the electric vehicle-transportation cooperative simulation unit through the transient simulation collaborative management unit.

[0011] Optionally, the scheduling instructions include peak-shaving instructions and secondary frequency modulation instructions, and the transient simulation collaborative management unit is specifically used for:

[0012] Receive the peak-shaving instruction and the secondary frequency modulation instruction issued by the scheduling master station unit;

[0013] The peak shaving command is sent to the electric vehicle-transportation cooperative simulation unit, and the peak shaving command and the secondary frequency modulation command are sent to the electric vehicle-charging pile control unit;

[0014] Receive time-series simulation data sent by the electric vehicle-transportation cooperative simulation unit, preprocess the time-series simulation data and then send it to the multi-dimensional hybrid simulation unit;

[0015] The system receives power grid transient simulation data sent by the multi-dimensional hybrid simulation unit, preprocesses the power grid transient simulation data, and then sends it to the electric vehicle-transportation cooperative simulation unit.

[0016] Optionally, the electric vehicle-transportation cooperative simulation unit is specifically used for:

[0017] Receive peak-shaving instructions sent by the transient simulation collaborative management unit;

[0018] Based on the peak-shaving command, long-term and grid-related collaborative simulations are performed on the electric vehicle user side to generate time-series simulation data that simultaneously reflects the electric vehicle cluster and road traffic network conditions.

[0019] The timing simulation data is sent to the transient simulation collaborative management unit.

[0020] Optionally, the electric vehicle-transportation cooperative simulation unit includes a cooperative simulation module; the cooperative simulation module is used to participate in the cooperative simulation of electric vehicle clusters and road traffic network conditions; the cooperative simulation module includes an electric vehicle cluster model, an urban traffic network model, an electric vehicle-grid bidirectional interaction model, and a charging station layout model;

[0021] The electric vehicle cluster model is used to simulate the charging and discharging behavior of electric vehicles under different scenarios;

[0022] The urban traffic network model is used to simulate the distribution and power consumption of electric vehicles under different road conditions based on traffic flow.

[0023] The electric vehicle-grid bidirectional interaction model is used to simulate the frequency response and power flow of the power grid under the V2G scenario;

[0024] The charging station layout model is used to evaluate and analyze the impact of different charging station layout strategies on the transient characteristics of the power grid.

[0025] Optionally, the electric vehicle-transportation cooperative simulation unit further includes a simulation equipment interface, a multi-energy flow simulation module, a carbon flow simulation module, an energy management module, and a charge / discharge management module;

[0026] The simulation device interface is used to bridge the electric vehicle-transportation cooperative simulation unit and the transient simulation cooperative management unit.

[0027] The carbon flow simulation module is used to participate in the calculation and coordinated statistics of carbon emissions from power generation during regional charging and discharging processes.

[0028] The charging and discharging management module is used to participate in the charging and discharging management between the electric vehicle and the charging pile;

[0029] The multi-energy flow simulation module is used to participate in the integration of the carbon flow simulation module;

[0030] The energy management module is used to participate in the integration of the multi-energy flow simulation module and the charge / discharge management module.

[0031] Optionally, the scheduling control command includes a primary frequency modulation control command and a secondary frequency modulation control command, and the electric vehicle-charging pile control unit is specifically used for:

[0032] Receive the peak-shaving command and the secondary frequency modulation command sent by the transient simulation collaborative management unit;

[0033] The primary frequency modulation control command and the secondary frequency modulation control command are generated based on the peak shaving command and the secondary frequency modulation command;

[0034] The primary frequency modulation control command and the secondary frequency modulation control command are sent to the multidimensional hybrid simulation unit;

[0035] The electric vehicle-charging pile control unit is also used for:

[0036] Manage the charging and discharging of different charging piles within the jurisdiction;

[0037] The system receives grid frequency information sent by the multi-dimensional hybrid simulation unit and adjusts the power based on the grid frequency information to balance the charging and discharging power of different charging pile nodes and regional charging pile clusters.

[0038] Optionally, the multidimensional hybrid simulation unit is specifically used for:

[0039] It receives the primary frequency modulation control command and the secondary frequency modulation control command sent by the electric vehicle-charging pile control unit, and at the same time receives the preprocessed time-series simulation data sent by the transient simulation collaborative management unit;

[0040] Based on the primary frequency regulation control command, the secondary frequency regulation control command, and the timing simulation data, a power grid transient simulation is performed to generate power grid transient simulation data, which is then sent to the transient simulation collaborative management unit.

[0041] This invention also provides a novel power hybrid simulation method considering urban traffic integration. The method is applied to a novel power hybrid simulation system considering urban traffic integration. The novel power hybrid simulation system includes a transient simulation collaborative management unit, a dispatching master station unit, a multi-dimensional hybrid simulation unit, an electric vehicle-charging pile control unit, and an electric vehicle-traffic collaborative simulation unit, all connected to the transient simulation collaborative management unit. The multi-dimensional hybrid simulation unit is connected to the electric vehicle-charging pile control unit. The method includes:

[0042] The transient simulation collaborative management unit sends the dispatch instructions issued by the dispatch master station unit to the electric vehicle-charging pile control unit and the electric vehicle-traffic collaborative simulation unit.

[0043] The electric vehicle-charging pile control unit generates a scheduling control instruction based on the scheduling instruction, and sends the scheduling control instruction to the multi-dimensional hybrid simulation unit;

[0044] The electric vehicle-transportation cooperative simulation unit performs long-term and grid-related cooperative simulations based on the scheduling instructions to generate time-series simulation data, and sends the time-series simulation data to the multi-dimensional hybrid simulation unit through the transient simulation cooperative management unit.

[0045] The multi-dimensional hybrid simulation unit performs power grid transient simulation based on the scheduling control instructions and the time-series simulation data, generates power grid transient simulation data, and sends the power grid transient simulation data to the electric vehicle-transportation cooperative simulation unit through the transient simulation collaborative management unit.

[0046] The present invention also provides an electronic device, the device comprising a processor and a memory:

[0047] The memory is used to store program code and transmit the program code to the processor;

[0048] The processor is used to execute, according to the instructions in the program code, a novel electric hybrid simulation method that takes into account urban transportation integration, as described above.

[0049] The present invention also provides a computer-readable storage medium for storing program code for executing the novel electric hybrid simulation method considering urban traffic integration as described above.

[0050] As can be seen from the above technical solutions, the present invention has the following advantages:

[0051] A novel power hybrid simulation system and method considering urban transportation integration are provided. The novel power hybrid simulation system includes a transient simulation collaborative management unit, a dispatch master station unit, a multi-dimensional hybrid simulation unit, an electric vehicle-charging pile control unit, and an electric vehicle-transportation collaborative simulation unit, all connected to the transient simulation collaborative management unit. The multi-dimensional hybrid simulation unit is connected to the electric vehicle-charging pile control unit. For the hybrid simulation process, the transient simulation collaborative management unit sends dispatch instructions issued by the dispatch master station unit to the electric vehicle-charging pile control unit and the electric vehicle-transportation collaborative simulation unit. The electric vehicle-charging pile control unit generates dispatch control instructions based on the dispatch instructions and sends them to the multi-dimensional hybrid simulation unit. The electric vehicle-transportation collaborative simulation unit performs long-term, grid-related collaborative simulations based on the dispatch instructions, generating time-series simulation data, which is then sent to the multi-dimensional hybrid simulation unit via the transient simulation collaborative management unit. The multi-dimensional hybrid simulation unit performs grid transient simulations based on the dispatch control instructions and the time-series simulation data, generating grid transient simulation data, which is then sent to the electric vehicle-transportation collaborative simulation unit via the transient simulation collaborative management unit. Therefore, considering the impact of electric vehicles and transportation systems, a novel power hybrid simulation architecture and corresponding simulation method are proposed to realize the power grid hybrid simulation of urban transportation integration. Attached Figure Description

[0052] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0053] Figure 1 This is a schematic diagram of a novel electric hybrid simulation system that considers urban transportation integration.

[0054] Figure 2 This is a schematic diagram of the principle framework of a novel electric hybrid simulation system that considers urban transportation integration.

[0055] Figure 3 This is a flowchart illustrating the steps of a novel electric hybrid simulation method that considers urban transportation integration. Detailed Implementation

[0056] This invention provides a novel electric hybrid simulation system that considers urban traffic integration, a novel electric hybrid simulation method that considers urban traffic integration, an electronic device, and a storage medium, to solve or partially solve the technical problem that existing simulation applications for electric vehicles participating in grid coordination cannot reflect the impact of traffic systems.

[0057] To make the objectives, features, and advantages of this invention more apparent and understandable, the technical solutions of the embodiments of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described below are only some embodiments of this invention, and not all embodiments. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention.

[0058] As an example, based on in-depth research and analysis, current research on the power supply and consumption relationship between electric vehicles and the power grid can be mainly reflected in the following aspects:

[0059] First, there is the impact of the charging and discharging behavior of electric vehicles on the transient characteristics of the power grid. When electric vehicles are connected to the grid, their charging behavior exhibits significant randomness and volatility, which may cause problems such as voltage fluctuations and harmonic distortion during grid transients. Especially in local power grids or distribution networks, when a large number of electric vehicles are connected to or disconnected from the grid simultaneously, such load abrupt changes may cause large voltage fluctuations and even lead to grid instability.

[0060] Secondly, there is the impact of the two-way interaction between electric vehicles and the power grid on the stability and security of the grid. Electric vehicles can not only participate in grid operation as electrical loads, but also supply power to the grid in reverse through vehicle-to-grid (V2G) technology. This plays a positive role in peak shaving and frequency regulation of the power system. When the grid load is high, electric vehicles can supply power in reverse, alleviating power shortages. When the load is low, they can be charged and stored, improving the operating efficiency of the power system.

[0061] Thirdly, the clustering effect of electric vehicle charging loads impacts the transient characteristics of the power grid. With the increasing number of electric vehicles, significant clustering effects may occur in certain areas or time periods when electric vehicle charging loads are concentrated. For example, there may be concentrated charging during rush hour or before long-distance trips. This load clustering effect leads to spatiotemporal imbalances in the distribution of power grid loads, thus significantly affecting the transient characteristics of the power grid. Especially when the load clustering effect is significant, local power grids may face overload risks. The voltage stability and transient stability of the power grid will also be threatened.

[0062] Fourthly, the layout and planning of electric vehicle charging stations affect the transient characteristics of the power grid. As the direct connection node between electric vehicles and the power grid, the layout and planning of electric vehicle charging stations directly impact the transient characteristics of the power grid. A reasonable layout of charging stations can effectively reduce the adverse effects of electric vehicle charging load on the power grid. For example, a distributed layout can avoid local overloads of the power grid, or optimizing the charging sequence of charging stations can reduce peak-valley load fluctuations. Conversely, an unreasonable layout of charging stations may lead to overloads, voltage drops, and other transient problems in local areas of the power grid.

[0063] In summary, with the widespread application of electric vehicles, power grid transient simulation research faces new challenges and opportunities. This invention suggests that future research should further focus on the spatiotemporal distribution characteristics of electric vehicle charging and discharging behavior, the bidirectional interaction effects between electric vehicles and the power grid, and their impact on power grid transient characteristics, in order to develop more accurate power grid transient simulation models. This will provide theoretical support and technical assurance for achieving efficient, stable, and coordinated development of electric vehicles and the power grid.

[0064] Several issues remain to be addressed in the current simulation applications of electric vehicles (EVs) participating in grid coordination. First, the clustering effect of EV charging loads and its impact on grid transient characteristics should be fully considered and analyzed. Second, due to the significant uncertainties in the charging and discharging behavior of EVs, the grid's frequency response, power flow, and stability will be affected in the case of large-scale EV reverse power supply. Therefore, grid dispatching and transient simulation models need to incorporate the dynamic characteristic parameters of EVs to better simulate the bidirectional interaction between EVs and the grid. Finally, a planning model for charging station layout should be introduced into the grid transient simulation to evaluate the grid's transient response characteristics under different charging station layout strategies.

[0065] Therefore, it is necessary to propose a new power system simulation model architecture that considers parameters such as electric vehicle clusters, urban road traffic networks and their road traffic conditions, electric vehicle charging piles, and the electricity stored in the electric vehicles themselves, so as to achieve a more widely applicable and theoretically complete joint simulation of electric vehicles and power grids.

[0066] Therefore, one of the core inventive points of this invention is: combining urban electric vehicle clusters, the actual situation and traffic flow of urban road networks, and the charging and discharging process of charging piles, while based on the data interaction ports of the power grid side and the electric vehicle cluster side, to construct a joint simulation architecture and corresponding simulation method suitable for the supply and demand interaction between urban traffic electric vehicle clusters and urban power grids. By combining the urban traffic network model with the power grid transient simulation, the spatiotemporal characteristics of the electric vehicle's operating trajectory and its charging and discharging behavior in the city can be fully considered, enabling the model to more accurately reflect the dynamic impact of electric vehicle clusters on the power grid in actual traffic scenarios. The novel hybrid simulation architecture proposed in this invention can cover the characteristics of electric vehicle cluster movement and charging and discharging, the distribution of charging piles, and the characteristics of electric vehicle clusters, realizing joint simulation between electric vehicle clusters, charging piles, and urban power grids. It has a relatively complete supply-demand-use-storage multi-dimensional structure, which can be widely applied to different power grid and electric vehicle application scenarios, providing more accurate transient simulation results and broadening optimization strategies.

[0067] Reference Figure 1 The diagram shows a structural schematic of a novel electric hybrid simulation system that considers urban transportation integration, provided by an embodiment of the present invention.

[0068] Combination Figure 1 The novel electric hybrid simulation system 100 provided in this embodiment of the invention can be viewed as a comprehensive simulation architecture combining electric vehicle clusters with traffic and energy systems, taking into account the overall urban road traffic conditions. This simulation architecture mainly includes a transient simulation collaborative management unit 101 (specifically, a system corresponding to an electric vehicle and power grid time-series transient simulation collaborative management system), a dispatch master station unit 102 (specifically, a dispatch master station), a multi-dimensional hybrid simulation unit 103 (specifically, a system corresponding to a power grid-charging pile-electric vehicle digital-physical hybrid simulation system), an electric vehicle-charging pile control unit 104 (specifically, an electric vehicle and charging pile control system), and an electric vehicle-traffic collaborative simulation unit 105 (specifically, a system corresponding to an electric vehicle cluster and traffic and energy system simulation system). The multi-dimensional hybrid simulation unit 103 is connected to the electric vehicle-charging pile control unit 104.

[0069] The dispatch master station unit 102 and the multi-dimensional hybrid simulation unit 103 mainly participate in the power grid-side simulation process. The electric vehicle-charging pile control unit 104 and the electric vehicle-transportation cooperative simulation unit 105 mainly participate in the simulation process of electric vehicle clusters and urban traffic side (i.e., electric vehicle cluster side). The transient simulation cooperative management unit 101 and the electric vehicle-charging pile control unit 104 mainly serve as the interaction interface and information processing and conversion center between the power grid side and the electric vehicle cluster side.

[0070] Understandably, the electric vehicle-transportation cooperative simulation unit 105 primarily reflects the spatiotemporal characteristics of the electric vehicle cluster. In simpler terms, it shows where electric vehicles are more prevalent and where power supply is more prevalent. The electric vehicle-charging pile control unit 104, as the main means of supplying power to the electric vehicle cluster, serves as the medium for transmitting electricity from the power grid to the vehicles. While primarily belonging to the management, control, and interface section, the electric vehicle-charging pile control unit 104 is also part of the electric vehicle cluster side.

[0071] The dispatch master station unit 102 refers to the dispatch center of the regional power grid. It is mainly responsible for load-side detection and power dispatching. The dispatch master station unit 102 also issues peak-shaving commands and secondary frequency regulation commands to the transient simulation collaborative management unit 101.

[0072] The transient simulation collaborative management unit 101 mainly includes five big data processing modules: simulation scene management, simulation process monitoring, event management, interactive quality management, and data interaction management.

[0073] In practical applications, the transient simulation collaborative management unit 101 is mainly responsible for receiving scheduling instructions issued by the scheduling master station unit 102. It then sends the scheduling instructions issued by the scheduling master station unit 102 to the electric vehicle-charging pile control unit 104 and the electric vehicle-traffic collaborative simulation unit 105.

[0074] More specifically, the scheduling instructions referred to in this invention mainly include peak shaving instructions and secondary frequency regulation instructions. The transient simulation collaborative management unit 101 is mainly used to receive the peak shaving instructions and secondary frequency regulation instructions issued by the scheduling master station unit 102; then, it sends the peak shaving instructions to the electric vehicle-transportation collaborative simulation unit 105, and sends the peak shaving instructions and secondary frequency regulation instructions to the electric vehicle-charging pile control unit 104.

[0075] Meanwhile, the transient simulation collaborative management unit 101 can also perform data preprocessing on the power grid transient simulation data provided to it by the multi-dimensional hybrid simulation unit 103, the control equipment operation data provided to it by the electric vehicle-charging pile control unit 104, and the time-series simulation data provided to it by the electric vehicle-traffic collaborative simulation unit 105. The preprocessed data is then returned to the multi-dimensional hybrid simulation unit 103, the electric vehicle-charging pile control unit 104, and the electric vehicle-traffic collaborative simulation unit 105 according to their respective categories.

[0076] Specifically, the transient simulation collaborative management unit 101 can receive time-series simulation data sent by the electric vehicle-transportation collaborative simulation unit 105, preprocess the time-series simulation data, and then send it to the multi-dimensional hybrid simulation unit 103. It can also receive power grid transient simulation data sent by the multi-dimensional hybrid simulation unit 103, preprocess the power grid transient simulation data, and then send it to the electric vehicle-transportation collaborative simulation unit 105.

[0077] The electric vehicle-charging pile control unit 104 is mainly used for charging and discharging management of different types of charging piles, such as superchargers, fast chargers, and slow chargers, installed in existing cities (within its jurisdiction). Simultaneously, the electric vehicle-charging pile control unit 104 can also receive peak-shaving commands and secondary frequency regulation commands provided by the transient simulation collaborative management unit 101, and grid frequency information provided by the multi-dimensional hybrid simulation unit 103. By processing the above information, it balances the charging and discharging power of different charging pile nodes and regional charging pile clusters, actively interacting with the actual needs of the power grid.

[0078] In its specific implementation, the electric vehicle-charging pile control unit 104 is mainly used to generate scheduling control instructions based on scheduling instructions and send these instructions to the multi-dimensional hybrid simulation unit 103. The scheduling control instructions include primary frequency modulation control instructions and secondary frequency modulation control instructions. Specifically, the electric vehicle-charging pile control unit 104 can be used to: receive peak-shaving instructions and secondary frequency modulation instructions sent by the transient simulation collaborative management unit 101; generate primary and secondary frequency modulation control instructions based on these instructions; and send these instructions to the multi-dimensional hybrid simulation unit 103.

[0079] Furthermore, the electric vehicle-charging pile control unit 104 can also be used to manage the charging and discharging of different charging piles within its jurisdiction. Simultaneously, the electric vehicle-charging pile control unit 104 can also receive grid frequency information sent by the multi-dimensional hybrid simulation unit 103, and adjust the power based on the grid frequency information to balance the charging and discharging power of different charging pile nodes and regional charging pile clusters.

[0080] The secondary frequency modulation command refers to the upper-level control requiring the lower-level control to adjust the frequency; it can be understood as a directional command. The secondary frequency modulation control command, on the other hand, specifies how to adjust and by how much; it can be understood as an actual control command.

[0081] The electric vehicle-transportation cooperative simulation unit 105 is mainly responsible for performing long-term and grid-related cooperative simulations based on scheduling instructions, generating time-series simulation data, and sending the time-series simulation data to the multi-dimensional hybrid simulation unit 103 through the transient simulation cooperative management unit 101.

[0082] More specifically, the electric vehicle-transportation cooperative simulation unit 105 is mainly responsible for receiving peak-shaving instructions sent by the transient simulation cooperative management unit 101; performing long-term and grid-related cooperative simulations on the electric vehicle user side based on the peak-shaving instructions, generating time-series simulation data that simultaneously reflects the electric vehicle cluster and road traffic network conditions; and sending the time-series simulation data to the transient simulation cooperative management unit 101.

[0083] The electric vehicle-transportation cooperative simulation unit 105 can mainly include simulation modules such as simulation equipment interface, multi-energy flow simulation module, carbon flow simulation module, energy management module, charge and discharge management module, and cooperative simulation module.

[0084] The simulation equipment interface is primarily used for bridging the electric vehicle-transportation collaborative simulation unit 105 and the transient simulation collaborative management unit 101. The carbon flow simulation module is mainly used for calculating and coordinating statistics of carbon emissions from power generation during regional charging and discharging processes. The charging and discharging management module is mainly used for managing the charging and discharging between electric vehicles and charging piles. The multi-energy flow simulation module is mainly used for integrating the carbon flow simulation module. The energy management module is mainly used for integrating the multi-energy flow simulation module and the charging and discharging management module.

[0085] In particular, the collaborative simulation module is mainly used to participate in the collaborative simulation of electric vehicle clusters and road traffic network conditions, and it is also one of the core inventive points of this invention.

[0086] In the electric vehicle-traffic cooperative simulation unit 105, all modules except the cooperative simulation module are simulation architectures. Since this invention primarily addresses this aspect by proposing a simulation system architecture between electric vehicles and the power grid, simulation mathematical models and numerous details unrelated to the technical points of this invention are not provided in this section. Next, based on the cooperative simulation module, this invention will emphasize the coordination between electric vehicle clusters and road traffic network conditions.

[0087] In its implementation, the collaborative simulation module mainly includes an electric vehicle cluster model, an urban traffic network model, an electric vehicle-grid bidirectional interaction model, and a charging station layout model. The following provides a detailed introduction to these four models:

[0088] (I) Electric Vehicle Cluster Model

[0089] Electric vehicle cluster models are primarily used to simulate the charging and discharging behavior of electric vehicles under different scenarios. Specifically, they analyze the clustering effect of electric vehicle charging loads and its impact on the transient characteristics of the power grid.

[0090] In reality, the clustering effect of electric vehicle charging loads in space is very significant. Especially during specific time periods, such as peak charging hours, concentrated charging can impact the transient characteristics of the power grid. Therefore, simulation models need to consider the potential clustered charging demands and behaviors of electric vehicles, as well as their spatiotemporal distribution characteristics.

[0091] First, a charging power model for electric vehicles can be constructed. This model refers to the sum of the charging power of each electric vehicle in a cluster. It's understood that the charging power of each vehicle depends on the battery state of charge (SoC), the charging station's power limitations, and the charging strategy. The charging power model is shown in the following equation:

[0092]

[0093] in, Let represent the charging power of the i-th electric vehicle at time t; n represents the total number of electric vehicles.

[0094] Next, a cluster effect model for electric vehicles can be constructed. The charging demand of an electric vehicle cluster typically manifests as a spatiotemporally distributed random variable. The cluster effect model can use a Poisson distribution or a normal distribution to simulate the charging demand in different regions and time periods. The cluster effect model is shown in the following equation:

[0095]

[0096] in, This represents the electric vehicle charging demand density at time t and location x. This indicates the average charging demand density. and These represent the time and location center of the centralized charging, respectively. and These represent the standard deviations of the time and spatial distributions, respectively.

[0097] (II) Urban Transportation Network Model

[0098] Urban traffic network models are primarily used to simulate the distribution and energy consumption of electric vehicles under different road conditions based on traffic flow. Specifically, they analyze the uncertainties in urban traffic networks and the operating locations and energy consumption of electric vehicles.

[0099] In real-world scenarios, the actual real-time location and power consumption of electric vehicle clusters are highly uncertain during peak traffic hours (morning, evening, and midday) or holidays when traffic volume is high. Therefore, urban traffic network models need to be simulated in conjunction with the actual operation of the traffic network.

[0100] First, a traffic network model of the city can be constructed. Its construction principle is based on traffic flow theory, specifically the distribution of vehicles within the urban road network. The traffic network model is shown in the following equation:

[0101]

[0102] in, This represents the vehicle density on road j at time t; This represents the number of electric vehicles at node k at time t; This represents the travel capacity from node k to road j.

[0103] In addition, Markov chains or random walk models can be introduced into the traffic network model to simulate the movement path and power consumption of electric vehicles, taking into account actual traffic conditions (such as congestion, holiday travel, etc.).

[0104] A Markov chain is a probabilistic model used to describe a sequence of states. In this sequence, the next state depends only on the current state and not on previous states. A random walk model is a statistical model widely used in various technical fields. It describes the behavior of a variable that changes randomly over time.

[0105] Next, the state equations for electric vehicles can be constructed to reflect the changes in the state of charge of each electric vehicle. The state equations for electric vehicles are shown below:

[0106]

[0107] in, This represents the remaining battery power of electric vehicle i at time t; Indicates the speed of electric vehicle i The energy consumption power is as follows; This indicates the charging power.

[0108] (III) Electric Vehicle-Grid Two-Way Interaction Model

[0109] The electric vehicle-grid bidirectional interaction model is mainly used to simulate the frequency response and power flow of the power grid under V2G scenarios.

[0110] Electric vehicles not only participate in grid operation as loads, but can also supply power to the grid in reverse via V2G technology. Therefore, the electric vehicle-grid bidirectional interaction model should also consider the impact of electric vehicles on grid frequency, power flow, and stability under different charging strategies.

[0111] First, a frequency response model can be constructed. When the electric vehicle provides reverse power, the frequency response model of the power grid is as follows:

[0112]

[0113] in, H represents the frequency response; D represents the system inertia; and D represents the damping coefficient. This indicates the change in charging and discharging power of the electric vehicle cluster.

[0114] Next, a power flow model can be constructed to describe the power flow between the electric vehicle and the power grid. The power flow model is shown in the following equation:

[0115]

[0116] in, Indicates the total power flow in the power grid; Indicates the power supply of the power grid; This represents the charging and discharging power of the i-th electric vehicle.

[0117] (iv) Charging station layout model

[0118] The charging station layout model is mainly used to evaluate and analyze the impact of different charging station layout strategies on the transient characteristics of the power grid. The charging station layout model can be regarded as an additional function of the entire system, used for optimizing the location of charging stations.

[0119] First, a charging station layout model can be constructed. The layout of charging stations can be solved through an optimization problem. The goal is to maximize the load distribution balance of the power grid while minimizing vehicle charging waiting time. The optimization function is shown below:

[0120]

[0121] in, This indicates the distance of electric vehicle i to the nearest charging station; This indicates the charging cost at the charging station; This represents the weighting coefficient.

[0122] In practical applications, the rational layout of electric vehicle charging stations plays a crucial role in reducing grid load and optimizing transient response characteristics. Based on the charging station layout model, further analysis of simulation data can enable in-depth analysis of the impact of charging station site selection and layout on grid transient characteristics and the establishment of new sites.

[0123] The multidimensional hybrid simulation unit 103 primarily handles data interaction between the model and the power grid simulation equipment. The model mainly includes a regional power grid model and an industrial load model. The power grid simulation equipment mainly includes simulation hardware, simulation software, and AC / DC (Alternating Current / Direct Current) power supply devices. The multidimensional hybrid simulation unit 103 mainly performs power grid transient simulations. The data it receives is primarily input from the transient simulation collaborative management unit 101 and the electric vehicle-charging pile control unit 104. Therefore, a mapping relationship exists between the multidimensional hybrid simulation unit 103 and the transient simulation collaborative management unit 101 and the electric vehicle-charging pile control unit 104. This mapping relationship mainly reflects the node location and charging power occupied by the charging pile during the electric vehicle charging process, and calculates transient characteristics based on the location of the charging pile itself, the charging pile to which the electric vehicle is attached, and the current power operating point (charging power).

[0124] In the specific implementation, the multi-dimensional hybrid simulation unit 103 mainly performs power grid transient simulation based on scheduling control instructions and time-series simulation data, generates power grid transient simulation data, and sends the power grid transient simulation data to the electric vehicle-transportation cooperative simulation unit 105 through the transient simulation cooperative management unit 101.

[0125] More specifically, the multi-dimensional hybrid simulation unit 103 is mainly responsible for receiving the primary frequency modulation control command and the secondary frequency modulation control command sent by the electric vehicle-charging pile control unit 104, and at the same time receiving the preprocessed time-series simulation data sent by the transient simulation collaborative management unit 101; performing power grid transient simulation based on the primary frequency modulation control command, the secondary frequency modulation control command and the time-series simulation data, generating power grid transient simulation data, and sending the power grid transient simulation data to the transient simulation collaborative management unit 101.

[0126] This invention provides a novel hybrid power simulation system that considers urban traffic integration. By combining an urban traffic network model with power grid transient simulation, the system can fully consider the spatiotemporal characteristics of the operating trajectories and charging / discharging behaviors of electric vehicles in the city, enabling the model to more accurately reflect the dynamic impact of electric vehicle clusters on the power grid in actual traffic scenarios. The novel hybrid simulation architecture proposed in this invention can cover the characteristics of electric vehicle cluster movement and charging / discharging, the distribution of charging piles, and the characteristics of electric vehicle clusters, realizing joint simulation between electric vehicle clusters, charging piles, and the urban power grid. It has a relatively complete multi-dimensional supply-demand-use-storage structure, which can be widely applied to different power grid and electric vehicle application scenarios, providing more accurate transient simulation results and broadening optimization strategies.

[0127] based on Figure 1To enable those skilled in the art to better understand the technical solution of the present invention, Figure 2 A schematic diagram of the principle framework of a novel electric hybrid simulation system that considers urban transportation integration is shown.

[0128] Figure 2 The hybrid simulation system mainly includes an electric vehicle and power grid time-series transient simulation collaborative management system 201, a dispatching master station 202 connected to the transient simulation collaborative management unit, a power grid-charging pile-electric vehicle digital-physical hybrid simulation system 203, an electric vehicle and charging pile control system 204, and an electric vehicle cluster and transportation and energy system simulation system 205. The power grid-charging pile-electric vehicle digital-physical hybrid simulation system 203 is connected to the electric vehicle and charging pile control system 204.

[0129] The dispatch master station 202 and the power grid-charging pile-electric vehicle digital-physical hybrid simulation system 203 mainly participate in the power grid-side simulation process. The electric vehicle and charging pile control system 204 and the electric vehicle cluster and transportation and energy system simulation system 205 mainly participate in the simulation process of the electric vehicle cluster and urban transportation side (i.e., the electric vehicle cluster side). The electric vehicle and power grid time-series transient simulation collaborative management system 201 and the electric vehicle and charging pile control system 204 mainly serve as the interaction interface and information processing and conversion center between the power grid side and the electric vehicle cluster side.

[0130] The main dispatch station 202, also known as the power grid dispatch center, is responsible for sending peak shaving commands and secondary frequency regulation commands to the electric vehicle and power grid time-series transient simulation collaborative management system 201.

[0131] After receiving the peak shaving command and the secondary frequency regulation command, the electric vehicle and power grid time-series transient simulation collaborative management system 201 sends the peak shaving command to the electric vehicle cluster and transportation and energy system simulation system 205, and at the same time sends the peak shaving command and the secondary frequency regulation command to the electric vehicle and charging pile control system 204.

[0132] After receiving peak-shaving and secondary frequency regulation commands, the electric vehicle and charging pile control system 204 generates primary and secondary frequency regulation control commands based on these commands and sends them to the power grid-charging pile-electric vehicle digital-physical hybrid simulation system 203. Simultaneously, the electric vehicle and charging pile control system 204 also receives power grid frequency and other information from the power grid-charging pile-electric vehicle digital-physical hybrid simulation system 203 to adjust power and achieve power balance. The electric vehicle and charging pile control system 204 can also send the equipment operation data of the simulation equipment to the electric vehicle and power grid time-series transient simulation collaborative management system 201 for processing. Furthermore, the electric vehicle and charging pile control system 204 can manage the charging and discharging of different types of charging piles (superchargers, fast chargers, and slow chargers) installed in the existing city (within its jurisdiction).

[0133] After receiving the peak-shaving command, the electric vehicle cluster and transportation and energy system simulation system 205 performs long-term and grid-related collaborative simulation based on the peak-shaving command, generates time-series simulation data, and sends the time-series simulation data to the electric vehicle and grid time-series transient simulation collaborative management system 201 to the grid-charging pile-electric vehicle digital-physical hybrid simulation system 203.

[0134] After receiving the primary frequency regulation command, the secondary frequency regulation command, and the time-series simulation data, the power grid-charging pile-electric vehicle digital-physical hybrid simulation system 203 performs power grid transient simulation based on the primary frequency regulation command, the secondary frequency regulation command, and the time-series simulation data, generates power grid transient simulation data, and sends the power grid transient simulation data to the electric vehicle cluster and transportation and energy system simulation system 205 through the electric vehicle and power grid time-series transient simulation collaborative management system 201.

[0135] Reference Figure 3 This diagram illustrates a flowchart of a novel electric hybrid simulation method considering urban traffic integration, provided by an embodiment of the present invention. The method is applied to the novel electric hybrid simulation system considering urban traffic integration as described in the foregoing embodiments, and specifically includes the following steps:

[0136] Step 301: The scheduling instructions issued by the scheduling master station unit are sent to the electric vehicle-charging pile control unit and the electric vehicle-traffic collaborative simulation unit through the transient simulation collaborative management unit;

[0137] Step 302: The electric vehicle-charging pile control unit generates a scheduling control instruction based on the scheduling instruction and sends the scheduling control instruction to the multi-dimensional hybrid simulation unit;

[0138] Step 303: The electric vehicle-transportation cooperative simulation unit performs long-term and grid-related cooperative simulation based on the scheduling instructions to generate time-series simulation data, and sends the time-series simulation data to the multi-dimensional hybrid simulation unit through the transient simulation cooperative management unit.

[0139] Step 304: The multi-dimensional hybrid simulation unit performs power grid transient simulation based on the scheduling control command and the time-series simulation data to generate power grid transient simulation data, and sends the power grid transient simulation data to the electric vehicle-transportation cooperative simulation unit through the transient simulation collaborative management unit.

[0140] In one optional embodiment, the scheduling instructions include peak-shaving instructions and secondary frequency regulation instructions. The step of sending the scheduling instructions issued by the scheduling master station unit to the electric vehicle-charging pile control unit and the electric vehicle-traffic cooperative simulation unit via the transient simulation collaborative management unit includes, via the transient simulation collaborative management unit:

[0141] Receive the peak-shaving instruction and the secondary frequency modulation instruction issued by the scheduling master station unit;

[0142] The peak shaving command is sent to the electric vehicle-transportation cooperative simulation unit, and the peak shaving command and the secondary frequency modulation command are sent to the electric vehicle-charging pile control unit;

[0143] The method also includes the transient simulation collaborative management unit:

[0144] Receive time-series simulation data sent by the electric vehicle-transportation cooperative simulation unit, preprocess the time-series simulation data and then send it to the multi-dimensional hybrid simulation unit;

[0145] The system receives power grid transient simulation data sent by the multi-dimensional hybrid simulation unit, preprocesses the power grid transient simulation data, and then sends it to the electric vehicle-transportation cooperative simulation unit.

[0146] In one optional embodiment, the step of performing long-term and grid-related collaborative simulations based on the scheduling instructions by the electric vehicle-transportation collaborative simulation unit to generate time-series simulation data, and sending the time-series simulation data to the multi-dimensional hybrid simulation unit through the transient simulation collaborative management unit, includes the following steps by the electric vehicle-transportation collaborative simulation unit:

[0147] Receive peak-shaving instructions sent by the transient simulation collaborative management unit;

[0148] Based on the peak-shaving command, long-term and grid-related collaborative simulations are performed on the electric vehicle user side to generate time-series simulation data that simultaneously reflects the electric vehicle cluster and road traffic network conditions.

[0149] The timing simulation data is sent to the transient simulation collaborative management unit.

[0150] In one optional embodiment, the electric vehicle-transportation cooperative simulation unit includes a cooperative simulation module; the cooperative simulation module is used to participate in the cooperative simulation of electric vehicle clusters and road traffic network conditions; the cooperative simulation module includes an electric vehicle cluster model, an urban traffic network model, an electric vehicle-grid bidirectional interaction model, and a charging station layout model; the method further includes:

[0151] The electric vehicle cluster model was used to simulate the charging and discharging behavior of electric vehicles under different scenarios.

[0152] The urban traffic network model simulates the distribution and power consumption of electric vehicles under different road conditions based on traffic flow.

[0153] The frequency response and power flow of the power grid under the V2G scenario are simulated using the electric vehicle-grid bidirectional interaction model.

[0154] The impact of different charging station layout strategies on the transient characteristics of the power grid is evaluated and analyzed using the charging station layout model.

[0155] In one optional embodiment, the electric vehicle-transportation cooperative simulation unit further includes a simulation device interface, a multi-energy flow simulation module, a carbon flow simulation module, an energy management module, and a charge / discharge management module; the method further includes:

[0156] The simulation device interface facilitates the bridging between the electric vehicle-transportation collaborative simulation unit and the transient simulation collaborative management unit.

[0157] The carbon flow simulation module is used to participate in the calculation and coordinated statistics of carbon emissions from power generation during regional charging and discharging processes.

[0158] The charging and discharging management module participates in the charging and discharging management between the electric vehicle and the charging pile.

[0159] The multi-energy flow simulation module participates in the integration of the carbon flow simulation module;

[0160] The energy management module participates in the integration of the multi-energy flow simulation module and the charge / discharge management module.

[0161] In one optional embodiment, the scheduling control command includes a primary frequency modulation control command and a secondary frequency modulation control command. The step of generating the scheduling control command based on the scheduling command through the electric vehicle-charging pile control unit and sending the scheduling control command to the multidimensional hybrid simulation unit includes, through the electric vehicle-charging pile control unit:

[0162] Receive the peak-shaving command and the secondary frequency modulation command sent by the transient simulation collaborative management unit;

[0163] The primary frequency modulation control command and the secondary frequency modulation control command are generated based on the peak shaving command and the secondary frequency modulation command;

[0164] The primary frequency modulation control command and the secondary frequency modulation control command are sent to the multidimensional hybrid simulation unit;

[0165] The method also includes the electric vehicle-charging station control unit:

[0166] Manage the charging and discharging of different charging piles within the jurisdiction;

[0167] The system receives grid frequency information sent by the multi-dimensional hybrid simulation unit and adjusts the power based on the grid frequency information to balance the charging and discharging power of different charging pile nodes and regional charging pile clusters.

[0168] In one optional embodiment, the step of performing power grid transient simulation based on the scheduling control command and the time-series simulation data by the multi-dimensional hybrid simulation unit to generate power grid transient simulation data, and sending the power grid transient simulation data to the electric vehicle-transportation cooperative simulation unit through the transient simulation collaborative management unit, includes using the multi-dimensional hybrid simulation unit:

[0169] It receives the primary frequency modulation control command and the secondary frequency modulation control command sent by the electric vehicle-charging pile control unit, and at the same time receives the preprocessed time-series simulation data sent by the transient simulation collaborative management unit;

[0170] Based on the primary frequency regulation control command, the secondary frequency regulation control command, and the timing simulation data, a power grid transient simulation is performed to generate power grid transient simulation data, which is then sent to the transient simulation collaborative management unit.

[0171] As the method embodiments are basically similar to the system embodiments, they are described in a relatively simple manner. For relevant details, please refer to the description of the system embodiments described above.

[0172] In this embodiment of the invention, a corresponding hybrid simulation method is proposed based on the novel power hybrid simulation system that considers urban traffic integration. By combining the urban traffic network model with the power grid transient simulation, the spatiotemporal characteristics of the operating trajectory of electric vehicles in the city and their charging and discharging behavior can be fully considered, enabling the model to more accurately reflect the dynamic impact of electric vehicle clusters on the power grid in actual traffic scenarios.

[0173] This invention also provides an electronic device, which includes a processor and a memory:

[0174] The memory is used to store program code and transfer the program code to the processor;

[0175] The processor is used to execute, according to instructions in the program code, a novel electric hybrid simulation method considering urban traffic integration, according to any embodiment of the present invention.

[0176] This invention also provides a computer-readable storage medium for storing program code for executing a novel electric hybrid simulation method considering urban transportation integration, according to any embodiment of this invention.

[0177] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0178] In the embodiments provided by this invention, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection between devices or units through some interfaces, and may be electrical, mechanical, or other forms.

[0179] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0180] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0181] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0182] The above-described embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A novel electric hybrid simulation system considering urban transportation integration, characterized in that, The novel power hybrid simulation system includes a transient simulation collaborative management unit, a dispatch master station unit, a multi-dimensional hybrid simulation unit, an electric vehicle-charging pile control unit, and an electric vehicle-transportation collaborative simulation unit, all connected to the transient simulation collaborative management unit. The multidimensional hybrid simulation unit is connected to the electric vehicle-charging pile control unit; The transient simulation collaborative management unit is used to send the scheduling instructions issued by the scheduling master station unit to the electric vehicle-charging pile control unit and the electric vehicle-traffic collaborative simulation unit; The electric vehicle-charging pile control unit is used to generate scheduling control instructions based on the scheduling instructions, and send the scheduling control instructions to the multi-dimensional hybrid simulation unit; The electric vehicle-transportation cooperative simulation unit is used to perform long-term and grid-related cooperative simulations based on the scheduling instructions, generate time-series simulation data, and send the time-series simulation data to the multi-dimensional hybrid simulation unit through the transient simulation cooperative management unit. The multidimensional hybrid simulation unit is used to perform power grid transient simulation based on the scheduling control command and the time-series simulation data, generate power grid transient simulation data, and send the power grid transient simulation data to the electric vehicle-transportation cooperative simulation unit through the transient simulation collaborative management unit. The scheduling instructions include peak-shaving instructions and secondary frequency modulation instructions, and the transient simulation collaborative management unit is specifically used for: Receive the peak-shaving instruction and the secondary frequency modulation instruction issued by the scheduling master station unit; The peak shaving command is sent to the electric vehicle-transportation cooperative simulation unit, and the peak shaving command and the secondary frequency modulation command are sent to the electric vehicle-charging pile control unit; Receive time-series simulation data sent by the electric vehicle-transportation cooperative simulation unit, preprocess the time-series simulation data and then send it to the multi-dimensional hybrid simulation unit; The system receives power grid transient simulation data sent by the multi-dimensional hybrid simulation unit, preprocesses the power grid transient simulation data, and then sends it to the electric vehicle-transportation cooperative simulation unit. The scheduling control commands include primary frequency modulation control commands and secondary frequency modulation control commands. The electric vehicle-charging pile control unit is specifically used for: Receive the peak-shaving command and the secondary frequency modulation command sent by the transient simulation collaborative management unit; The primary frequency modulation control command and the secondary frequency modulation control command are generated based on the peak shaving command and the secondary frequency modulation command; The primary frequency modulation control command and the secondary frequency modulation control command are sent to the multidimensional hybrid simulation unit; The electric vehicle-charging pile control unit is also used for: Manage the charging and discharging of different charging piles within the jurisdiction; The system receives grid frequency information sent by the multi-dimensional hybrid simulation unit and adjusts the power based on the grid frequency information to balance the charging and discharging power of different charging pile nodes and regional charging pile clusters.

2. The novel electric hybrid simulation system considering urban transportation integration according to claim 1, characterized in that, The electric vehicle-traffic cooperative simulation unit is specifically used for: Receive peak-shaving instructions sent by the transient simulation collaborative management unit; Based on the peak-shaving command, long-term and grid-related collaborative simulations are performed on the electric vehicle user side to generate time-series simulation data that simultaneously reflects the electric vehicle cluster and road traffic network conditions. The timing simulation data is sent to the transient simulation collaborative management unit.

3. The novel electric hybrid simulation system considering urban transportation integration according to claim 2, characterized in that, The electric vehicle-transportation collaborative simulation unit includes a collaborative simulation module; the collaborative simulation module is used to participate in the collaborative simulation of electric vehicle clusters and road traffic network conditions; the collaborative simulation module includes an electric vehicle cluster model, an urban traffic network model, an electric vehicle-grid bidirectional interaction model, and a charging station layout model; The electric vehicle cluster model is used to simulate the charging and discharging behavior of electric vehicles under different scenarios; The urban traffic network model is used to simulate the distribution and power consumption of electric vehicles under different road conditions based on traffic flow. The electric vehicle-grid bidirectional interaction model is used to simulate the frequency response and power flow of the power grid under the V2G scenario; The charging station layout model is used to evaluate and analyze the impact of different charging station layout strategies on the transient characteristics of the power grid.

4. The novel electric hybrid simulation system considering urban transportation integration according to claim 2 or 3, characterized in that, The electric vehicle-transportation cooperative simulation unit also includes a simulation equipment interface, a multi-energy flow simulation module, a carbon flow simulation module, an energy management module, and a charge / discharge management module; The simulation device interface is used to bridge the electric vehicle-transportation cooperative simulation unit and the transient simulation cooperative management unit. The carbon flow simulation module is used to participate in the calculation and coordinated statistics of carbon emissions from power generation during regional charging and discharging processes. The charging and discharging management module is used to participate in the charging and discharging management between the electric vehicle and the charging pile; The multi-energy flow simulation module is used to participate in the integration of the carbon flow simulation module; The energy management module is used to participate in the integration of the multi-energy flow simulation module and the charge / discharge management module.

5. The novel electric hybrid simulation system considering urban transportation integration according to claim 1, characterized in that, The multidimensional hybrid simulation unit is specifically used for: It receives the primary frequency modulation control command and the secondary frequency modulation control command sent by the electric vehicle-charging pile control unit, and at the same time receives the preprocessed time-series simulation data sent by the transient simulation collaborative management unit; Based on the primary frequency regulation control command, the secondary frequency regulation control command, and the timing simulation data, a power grid transient simulation is performed to generate power grid transient simulation data, which is then sent to the transient simulation collaborative management unit.

6. A novel electric power hybrid simulation method considering urban transportation integration, characterized in that, A novel power hybrid simulation system is applied to consider the integration of urban transportation. The novel power hybrid simulation system includes a transient simulation collaborative management unit, a dispatch master station unit, a multi-dimensional hybrid simulation unit, an electric vehicle-charging pile control unit, and an electric vehicle-transportation collaborative simulation unit, which are respectively connected to the transient simulation collaborative management unit. The multidimensional hybrid simulation unit is connected to the electric vehicle-charging pile control unit; the method includes: The transient simulation collaborative management unit sends the dispatch instructions issued by the dispatch master station unit to the electric vehicle-charging pile control unit and the electric vehicle-traffic collaborative simulation unit. The electric vehicle-charging pile control unit generates a scheduling control instruction based on the scheduling instruction, and sends the scheduling control instruction to the multi-dimensional hybrid simulation unit; The electric vehicle-transportation cooperative simulation unit performs long-term and grid-related cooperative simulations based on the scheduling instructions to generate time-series simulation data, and sends the time-series simulation data to the multi-dimensional hybrid simulation unit through the transient simulation cooperative management unit. The multi-dimensional hybrid simulation unit performs power grid transient simulation based on the scheduling control command and the time-series simulation data, generates power grid transient simulation data, and sends the power grid transient simulation data to the electric vehicle-transportation collaborative simulation unit through the transient simulation collaborative management unit. The scheduling instructions include peak shaving instructions and secondary frequency regulation instructions. The step of sending the scheduling instructions issued by the scheduling master station unit to the electric vehicle-charging pile control unit and the electric vehicle-traffic cooperative simulation unit through the transient simulation collaborative management unit includes, through the transient simulation collaborative management unit: Receive the peak-shaving instruction and the secondary frequency modulation instruction issued by the scheduling master station unit; The peak shaving command is sent to the electric vehicle-transportation cooperative simulation unit, and the peak shaving command and the secondary frequency modulation command are sent to the electric vehicle-charging pile control unit; Receive time-series simulation data sent by the electric vehicle-transportation cooperative simulation unit, preprocess the time-series simulation data and then send it to the multi-dimensional hybrid simulation unit; The system receives power grid transient simulation data sent by the multi-dimensional hybrid simulation unit, preprocesses the power grid transient simulation data, and then sends it to the electric vehicle-transportation cooperative simulation unit. The scheduling control instructions include primary frequency modulation control instructions and secondary frequency modulation control instructions. The process of generating scheduling control instructions based on the scheduling instructions through the electric vehicle-charging pile control unit and sending the scheduling control instructions to the multi-dimensional hybrid simulation unit includes, through the electric vehicle-charging pile control unit: Receive the peak-shaving command and the secondary frequency modulation command sent by the transient simulation collaborative management unit; The primary frequency modulation control command and the secondary frequency modulation control command are generated based on the peak shaving command and the secondary frequency modulation command; The primary frequency modulation control command and the secondary frequency modulation control command are sent to the multidimensional hybrid simulation unit; The method also includes the electric vehicle-charging station control unit: Manage the charging and discharging of different charging piles within the jurisdiction; The system receives grid frequency information sent by the multi-dimensional hybrid simulation unit and adjusts the power based on the grid frequency information to balance the charging and discharging power of different charging pile nodes and regional charging pile clusters.

7. An electronic device, characterized in that, The device includes a processor and a memory: The memory is used to store program code and transmit the program code to the processor; The processor is used to execute the novel electric hybrid simulation method considering urban transportation integration as described in claim 6 according to the instructions in the program code.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium is used to store program code for executing the novel electric hybrid simulation method considering urban traffic integration as described in claim 6.

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