Novel electric power hybrid simulation system and method considering urban traffic fusion

Abstract

The invention discloses a novel electric power hybrid simulation system and method considering urban traffic fusion, and aims to solve the problem that the influence of a traffic system cannot be reflected by simulation application of electric vehicles participating in power grid coordination. The transient simulation collaborative management unit sends a dispatching instruction issued by the dispatching 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-traffic collaborative simulation unit carries out collaborative simulation related to a long time scale and a power grid based on the scheduling instruction, generates time sequence simulation data and sends the time sequence simulation data to the multi-dimensional hybrid simulation unit through the transient simulation collaborative management unit; and the multi-dimensional hybrid simulation unit performs power grid transient simulation based on the scheduling control instruction and the time sequence simulation data, generates power grid transient simulation data and sends the power grid transient simulation data to the electric vehicle-traffic collaborative simulation unit through the transient simulation collaborative management unit.

Description

Technical Field

[0001] The present invention relates to the technical field of power system simulation, and in particular to a novel power hybrid simulation system considering urban traffic integration, a novel power hybrid simulation method considering urban traffic integration, an electronic device and a storage medium. Background Art

[0002] In recent years, with the acceleration of global energy transformation 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 a variety of new loads. The traditional power supply mode is gradually being replaced by a more diversified and flexible power supply mode. The widespread popularity and application of electric vehicles (EVs) have made them an important part of the power system, triggering a profound change in the dynamic relationship between power supply and power consumption in the power grid.

[0003] On the one hand, as a mobile energy storage unit, electric vehicles can participate in various auxiliary services such as frequency regulation, voltage regulation and peak load shifting in the power system. This helps to stabilize the operation of the power system. On the other hand, due to the uncertainty and volatility of electric vehicle charging and discharging, their large-scale access 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] At present, many relevant power system simulation technologies cannot reflect the impact of the traffic system, such as traffic congestion on some sections of the road, fluctuations in the system's daily average load caused by holiday travel and the influx of external vehicles, and changes in charging demand for charging piles, etc. Summary of the invention

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

[0006] The present invention provides a new type of electric hybrid simulation system considering urban traffic integration, the new type of electric hybrid simulation system comprises 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 respectively 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 dispatch instruction issued by the dispatch 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 a dispatch control instruction based on the dispatch instruction, and send the dispatch control instruction to the multi-dimensional hybrid simulation unit;

[0009] The electric vehicle-traffic collaborative simulation unit is used to perform long-time scale and power grid-related collaborative simulation based on the dispatch instruction, generate time series simulation data, and send the time series simulation data to the multi-dimensional hybrid simulation unit through the transient simulation collaborative management unit;

[0010] The multi-dimensional hybrid simulation unit is used to perform grid transient simulation based on the dispatching control instructions and the timing simulation data, generate grid transient simulation data, and send the grid transient simulation data to the electric vehicle-traffic collaborative simulation unit through the transient simulation collaborative management unit.

[0011] Optionally, the scheduling instruction includes a peak shaving instruction and a secondary frequency modulation instruction, and the transient simulation collaborative management unit is specifically used to:

[0012] Receiving the peak-shaving instruction and the secondary frequency regulation instruction issued by the dispatching master station unit;

[0013] Sending the peak-shaving instruction to the electric vehicle-traffic collaborative simulation unit, and sending the peak-shaving instruction and the secondary frequency modulation instruction to the electric vehicle-charging pile control unit;

[0014] Receiving the time series simulation data sent by the electric vehicle-traffic collaborative simulation unit, and sending the time series simulation data to the multi-dimensional hybrid simulation unit after pre-processing;

[0015] The power grid transient simulation data sent by the multi-dimensional hybrid simulation unit is received, and the power grid transient simulation data is pre-processed and then sent to the electric vehicle-traffic collaborative simulation unit.

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

[0017] Receiving a peak load regulation instruction sent by the transient simulation collaborative management unit;

[0018] Based on the peak load shaving instruction, a long-time scale and power grid-related collaborative simulation is performed on the electric vehicle user side to generate time series simulation data that simultaneously reflects the status of the electric vehicle cluster and the road traffic network;

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

[0020] Optionally, the electric vehicle-traffic 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;

[0021] The electric vehicle cluster model is used to simulate the charging and discharging behavior of electric vehicles in 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 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-traffic collaborative 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 and discharge management module;

[0026] The simulation device interface is used to participate in the bridging between the electric vehicle-traffic collaborative simulation unit and the transient simulation collaborative management unit;

[0027] The carbon flow simulation module is used to participate in the calculation and coordination of carbon emissions from power production during regional charging and discharging;

[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 and discharge management module.

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

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

[0033] Generate the primary frequency modulation control instruction and the secondary frequency modulation control instruction based on the peak shaving instruction and the secondary frequency modulation instruction;

[0034] Sending the primary frequency modulation control instruction and the secondary frequency modulation control instruction to the multi-dimensional 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] Receive the grid frequency information sent by the multi-dimensional hybrid simulation unit, and perform power adjustment 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 multi-dimensional hybrid simulation unit is specifically used for:

[0039] Receive the primary frequency modulation control instruction and the secondary frequency modulation control instruction sent by the electric vehicle-charging pile control unit, and simultaneously receive the pre-processed timing simulation data sent by the transient simulation collaborative management unit;

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

[0041] The present invention also provides a new type of electric hybrid simulation method considering urban traffic integration, the method is applied to a new type of electric hybrid simulation system considering urban traffic integration, the new type of electric hybrid simulation system includes a transient simulation collaborative management unit, a dispatching master station unit, a multidimensional hybrid simulation unit, an electric vehicle-charging pile control unit and an electric vehicle-traffic collaborative simulation unit 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:

[0042] The dispatching instruction issued by the dispatching master station unit is sent to the electric vehicle-charging pile control unit and the electric vehicle-traffic collaborative simulation unit through the transient simulation collaborative management unit;

[0043] Generate a dispatch control instruction based on the dispatch instruction by the electric vehicle-charging pile control unit, and send the dispatch control instruction to the multi-dimensional hybrid simulation unit;

[0044] The electric vehicle-traffic collaborative simulation unit performs a long-time scale and power grid-related collaborative simulation based on the dispatch instruction to generate time series simulation data, and sends the time series simulation data to the multi-dimensional hybrid simulation unit through the transient simulation collaborative management unit;

[0045] The multi-dimensional hybrid simulation unit performs grid transient simulation based on the dispatching control instruction and the timing simulation data to generate grid transient simulation data, and sends the grid transient simulation data to the electric vehicle-traffic collaborative 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 the novel electric hybrid simulation method considering urban traffic integration as described above according to the instructions in the program code.

[0049] The present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium is used to store program codes, and the program codes are used to execute the novel electric hybrid simulation method considering urban traffic integration as described above.

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

[0051] A new type of electric hybrid simulation system and method considering urban traffic integration is provided. The new type of electric 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 respectively 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 dispatching instruction issued by the dispatching master station unit is sent to the electric vehicle-charging pile control unit and the electric vehicle-traffic collaborative simulation unit through the transient simulation collaborative management unit; the dispatching control instruction is generated based on the dispatching instruction by the electric vehicle-charging pile control unit, and the dispatching control instruction is sent to the multi-dimensional hybrid simulation unit; the electric vehicle-charging pile collaborative simulation unit performs a long-time scale and power grid-related collaborative simulation based on the dispatching instruction, generates timing simulation data, and sends the timing simulation data to the multi-dimensional hybrid simulation unit through the transient simulation collaborative management unit; the multi-dimensional hybrid simulation unit performs power grid transient simulation based on the dispatching control instruction and the timing simulation data, generates power grid transient simulation data, and sends the power grid transient simulation data to the electric vehicle-traffic collaborative simulation unit through the transient simulation collaborative management unit. Therefore, taking into account the impact of electric vehicles and transportation systems, a new power hybrid simulation architecture and corresponding simulation method are proposed to realize hybrid simulation of power grids integrated with urban transportation. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0053] Figure 1 It is a schematic diagram of the structure of a new electric hybrid simulation system considering urban traffic integration;

[0054] Figure 2 It is a schematic diagram of the principle framework of a new electric hybrid simulation system considering urban traffic integration;

[0055] Figure 3 A flowchart of the steps of a new electric hybrid simulation method considering urban traffic integration. DETAILED DESCRIPTION

[0056] The embodiments of the present invention provide a new electric hybrid simulation system considering urban traffic integration, a new electric hybrid simulation method considering urban traffic integration, an electronic device and a storage medium, which are used to solve or partially solve the technical problem that the existing simulation applications for electric vehicles participating in power grid coordination cannot reflect the impact of the traffic system.

[0057] In order to make the purpose, features and advantages of the present invention more obvious and easy to understand, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described below are only 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.

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

[0059] One 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 power grid, their charging behavior shows significant randomness and volatility, which may cause voltage fluctuations, harmonic distortion and other problems in the transient process of the power grid. Especially in local power grids or distribution networks, when a large number of electric vehicles are connected or disconnected from the power grid at the same time, this load mutation may cause large voltage fluctuations and even lead to grid instability.

[0060] The second is the impact of the two-way interaction between electric vehicles and the power grid on the stability and security of the power grid. Electric vehicles can not only participate in the operation of the power grid as power loads, but also reverse power to the power grid through vehicle-to-grid (V2G) technology. This plays a positive role in peak load regulation and frequency regulation of the power system. When the load on the power grid is high, electric vehicles can reverse power supply to ease the power shortage. When the load is low, they can charge and store energy to improve the operating efficiency of the power system.

[0061] The third is the impact of the clustering effect of electric vehicle charging load on the transient characteristics of the power grid. With the increase in the number of electric vehicles, the charging load of electric vehicles may show a significant clustering effect in certain specific areas or time periods. For example, concentrated charging after get off work, or concentrated charging before long-distance travel. This load clustering effect will lead to the temporal and spatial imbalance of the load distribution in the power grid. This will have an important impact on the transient characteristics of the power grid. Especially when the load clustering effect is significant, the local power grid may face the risk of overload. The voltage stability and transient stability of the power grid will also be threatened.

[0062] Fourth, the impact of the layout and planning of electric vehicle charging stations on the transient characteristics of the power grid. As a direct connection node between electric vehicles and the power grid, the layout and planning of electric vehicle charging stations have a direct impact on the transient characteristics of the power grid. Reasonable layout of charging stations can effectively reduce the adverse impact of electric vehicle charging load on the power grid. For example, local overload of the power grid can be avoided through decentralized layout, or peak and valley load fluctuations can be reduced by optimizing the charging sequence of charging stations. However, unreasonable layout of charging stations may lead to overload, voltage drop 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 paper believes that future research should further focus on the spatiotemporal distribution characteristics of electric vehicle charging and discharging behavior, the two-way interaction effect between electric vehicles and power grids and their impact on the transient characteristics of power grids, and develop more accurate power grid transient simulation models. This will provide theoretical support and technical guarantee for the efficient, stable and coordinated development of electric vehicles and power grids.

[0064] There are still some urgent problems to be solved in the current simulation application of electric vehicles participating in grid coordination. First, the cluster effect of electric vehicle charging load and its impact on the transient characteristics of the grid should be fully considered and analyzed. Secondly, due to the strong uncertainty of the charging and discharging behavior of electric vehicles, the frequency response, power flow and stability of the grid will be affected in the case of large-scale reverse power supply of electric vehicles. Therefore, the grid dispatch and transient simulation models need to introduce the dynamic characteristic parameters of electric vehicles to better simulate the two-way interaction effect between electric vehicles and the grid. Finally, the planning model of charging station layout is introduced in the grid transient simulation to evaluate the transient response characteristics of the grid under different charging station layout strategies.

[0065] Therefore, it is necessary to propose a new power system simulation model architecture that takes into account parameters such as electric vehicle clusters, urban road traffic networks and their road traffic conditions, electric vehicle charging piles, and the amount of electricity stored in electric vehicles themselves, so as to achieve an electric vehicle-grid joint simulation with wider applicability and a more complete theoretical system.

[0066] Therefore, one of the core invention points of the embodiment of the present invention is: combining the actual situation and flow conditions of urban electric vehicle clusters, urban road networks, and the charging and discharging process of charging piles, and based on the data interaction ports on the power grid side and the electric vehicle cluster side, a set of joint simulation architectures and corresponding simulation methods suitable for the interaction between urban traffic electric vehicle clusters and urban power grid supply and demand are constructed. By combining the urban traffic network model with the transient simulation of the power grid, the temporal and spatial characteristics of the running trajectory of electric vehicles in the city and their charging and discharging behaviors can be fully considered, so that the model can more accurately reflect the dynamic impact of electric vehicle clusters on the power grid in actual traffic scenarios. The new hybrid simulation architecture proposed by the present invention can cover the characteristics of the movement and charging and discharging of electric vehicle clusters, the distribution of charging piles and electric vehicle clusters, and realize the joint simulation between electric vehicle clusters, charging piles and urban power grids. It has a relatively complete supply-demand-use-storage multi-dimensional structure, can be widely applied to different power grids and electric vehicle application scenarios, and provide more accurate transient simulation results and broaden the optimization strategy.

[0067] Reference Figure 1 , showing a structural schematic diagram of a new electric hybrid simulation system considering urban traffic integration provided by an embodiment of the present invention.

[0068] Combination Figure 1 The new electric hybrid simulation system 100 provided in the embodiment of the present invention can be regarded as an electric vehicle cluster and traffic and energy comprehensive simulation architecture that combines the comprehensive situation of urban road traffic. The simulation architecture can mainly include a transient simulation collaborative management unit 101 (which can specifically correspond to the electric vehicle and power grid time sequence transient simulation collaborative management system), a dispatching master station unit 102 (which can specifically correspond to the dispatching master station), a multi-dimensional hybrid simulation unit 103 (which can specifically correspond to the power grid-charging pile-electric vehicle digital-physical hybrid simulation system), an electric vehicle-charging pile control unit 104 (which can specifically correspond to the electric vehicle and charging pile control system) and an electric vehicle-traffic collaborative simulation unit 105 (which can specifically correspond to the electric vehicle cluster and traffic and energy system simulation system). Among them, the multi-dimensional hybrid simulation unit 103 is connected to the electric vehicle-charging pile control unit 104.

[0069] The dispatching master station unit 102 and the multi-dimensional hybrid simulation unit 103 are mainly involved in the simulation process on the power grid side. The electric vehicle-charging pile control unit 104 and the electric vehicle-traffic collaborative simulation unit 105 are mainly involved in the simulation process on the electric vehicle cluster and the urban traffic side (i.e., the electric vehicle cluster side). The transient simulation collaborative management unit 101 and the electric vehicle-charging pile control unit 104 are mainly used as the interactive interface and information processing conversion center between the power grid side and the electric vehicle cluster side.

[0070] It is understandable that the electric vehicle-traffic collaborative simulation unit 105 mainly reflects the spatiotemporal characteristics of the electric vehicle cluster. In layman's terms, where electric vehicles are more distributed, power supply is more distributed. The electric vehicle-charging pile control unit 104, as the main means of supplying power to the electric vehicle cluster, is the medium for realizing the transmission of electric energy from the power grid to the vehicle. The electric vehicle-charging pile control unit 104 mainly belongs to the management, control and interface part, but it is also a part of the electric vehicle cluster side.

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

[0072] The transient simulation collaborative management unit 101 may mainly include five 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 the dispatching instructions issued by the dispatching master station unit 102 and sending the dispatching instructions issued by the dispatching 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 dispatching instructions referred to in the present invention mainly include peak-shaving instructions and secondary frequency modulation instructions. The transient simulation collaborative management unit 101 is mainly used to receive the peak-shaving instructions and secondary frequency modulation instructions issued by the dispatching master station unit 102; then send the peak-shaving instructions to the electric vehicle-traffic collaborative simulation unit 105, and send the peak-shaving instructions and secondary frequency modulation instructions to the electric vehicle-charging pile control unit 104.

[0075] At the same time, the transient simulation collaborative management unit 101 can also perform data preprocessing on the transient simulation data of the power grid provided by the multi-dimensional hybrid simulation unit 103, the control equipment operation data provided by the electric vehicle-charging pile control unit 104, and the timing simulation data provided by the electric vehicle-traffic collaborative simulation unit 105. The preprocessed relevant data are 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 respectively according to categories.

[0076] Specifically, the transient simulation collaborative management unit 101 can receive the timing simulation data sent by the electric vehicle-traffic collaborative simulation unit 105, and pre-process the timing simulation data before sending it to the multi-dimensional hybrid simulation unit 103. It can also receive the power grid transient simulation data sent by the multi-dimensional hybrid simulation unit 103, and pre-process the power grid transient simulation data before sending it to the electric vehicle-traffic collaborative simulation unit 105.

[0077] The electric vehicle-charging pile control unit 104 can be mainly used to manage the charging and discharging of different types of charging piles such as super charging, fast charging and slow charging installed in existing cities (within the jurisdiction). At the same time, the electric vehicle-charging pile control unit 104 can also receive peak load instructions, secondary frequency modulation instructions 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, the charging and discharging power of different charging pile nodes and regional charging pile clusters is balanced, and the actual needs of the power grid are actively interacted.

[0078] In a specific implementation, the electric vehicle-charging pile control unit 104 can be mainly used to generate a dispatching control instruction based on the dispatching instruction, and send the dispatching control instruction to the multi-dimensional hybrid simulation unit 103. Among them, the dispatching control instruction includes a primary frequency modulation control instruction and a secondary frequency modulation control instruction. Then the electric vehicle-charging pile control unit 104 can be specifically used to: receive the peak-shaving instruction and the secondary frequency modulation instruction sent by the transient simulation collaborative management unit 101; generate a primary frequency modulation control instruction and a secondary frequency modulation control instruction based on the peak-shaving instruction and the secondary frequency modulation instruction; send the primary frequency modulation control instruction and the secondary frequency modulation control instruction 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 the jurisdiction. At the same time, the electric vehicle-charging pile control unit 104 can also be used to receive the 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] Among them, the secondary frequency modulation instruction refers to the upper control requiring the lower control to perform frequency modulation, which can be understood as a directional command. The secondary frequency modulation control instruction refers to how to adjust and how much to adjust, which can be understood as an actual control command.

[0081] The electric vehicle-traffic collaborative simulation unit 105 is mainly responsible for performing long-time scale and power grid-related collaborative simulation based on dispatch instructions, generating timing simulation data, and sending the timing simulation data to the multi-dimensional hybrid simulation unit 103 through the transient simulation collaborative management unit 101 .

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

[0083] The electric vehicle-traffic collaborative simulation unit 105 may mainly include simulation modules such as a simulation device interface, a multi-energy flow simulation module, a carbon flow simulation module, an energy management module, a charge and discharge management module and a collaborative simulation module.

[0084] Among them, the simulation device interface is mainly used to participate in the bridging between the electric vehicle-traffic collaborative simulation unit 105 and the transient simulation collaborative management unit 101. The carbon flow simulation module is mainly used to participate in the calculation and coordinated statistics of carbon emissions from power production during regional charging and discharging. The charging and discharging management module is mainly used to participate in the charging and discharging management between electric vehicles and charging piles. The multi-energy flow simulation module is mainly used to participate in the integration of the carbon flow simulation module. The energy management module is mainly used to participate in the integration of 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, which is also one of the core invention points of the present invention.

[0086] In the electric vehicle-traffic collaborative simulation unit 105, except for the collaborative simulation module, all other modules are simulation architectures. Since the present invention mainly implements this part of the content by proposing a simulation system architecture between electric vehicles and power grids, the simulation mathematical model and many details that are irrelevant to the technical points of the present invention are not given in this part of the content. Next, the present invention will focus on the collaboration between electric vehicle clusters and road traffic network conditions based on the collaborative simulation module.

[0087] In the specific implementation, the collaborative simulation module can mainly include electric vehicle cluster model, urban traffic network model, electric vehicle-grid two-way interaction model and charging station layout model. The following is a detailed introduction to these four models:

[0088] 1. Electric vehicle cluster model

[0089] The electric vehicle cluster model is mainly used to simulate the charging and discharging behavior of electric vehicles in different scenarios. Specifically, it analyzes the cluster effect of electric vehicle charging load and its impact on the transient characteristics of the power grid.

[0090] In actual situations, the clustering effect of electric vehicle charging load in space is very significant. In particular, concentrated charging during specific time periods, such as peak charging hours, will affect the transient characteristics of the power grid. Therefore, the simulation model needs to consider the possible cluster charging needs and behaviors of electric vehicles, as well as their temporal and spatial distribution characteristics.

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

[0092]

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

[0094] Then we can build a cluster effect model for electric vehicles. The charging demand of electric vehicle clusters is usually expressed as a random variable with spatial and temporal distribution. The cluster effect model can use Poisson distribution or normal distribution to simulate the charging demand in different regions and time periods. The cluster effect model is shown as follows:

[0095]

[0096] in, represents the electric vehicle charging demand density at time t and location x; represents the average charging demand density; and They represent the time and location center of centralized charging respectively; and represent the standard deviation of temporal and spatial distribution, respectively.

[0097] 2. Urban Transportation Network Model

[0098] The urban traffic network model is mainly used to simulate the distribution and power consumption of electric vehicles under different road conditions based on traffic flow. Specifically, it analyzes the uncertainty of the urban traffic network and the location and power consumption of electric vehicles.

[0099] In real life, during peak hours in the morning, evening and noon or during holidays when traffic is heavy, there is a great deal of uncertainty in the actual real-time operating location and power consumption of electric vehicle clusters. Therefore, the urban traffic network model needs to be simulated in combination with the actual operation of the traffic network.

[0100] First, we can build a traffic network model of the city. The construction principle is to use traffic flow theory and the distribution of vehicles in the urban road network. The traffic network model is shown as follows:

[0101]

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

[0103] In addition, the actual traffic conditions (such as congestion, travel on holidays, etc.) can be combined to introduce Markov Chain or Random Walk Model into the traffic network model to simulate the movement path and power consumption of electric vehicles.

[0104] Among them, Markov chain is a probability model used to describe a sequence of states. In this sequence, the next state depends only on the current state and not on the previous state. The random walk model is a statistical model widely used in many technical fields. The random walk model is used to describe the random change behavior of a variable over time.

[0105] Then, the electric vehicle state equation can be constructed to reflect the change in the power state of each electric vehicle. The electric vehicle state equation is shown as follows:

[0106]

[0107] in, represents the remaining power of electric vehicle i at time t; Indicates that the electric vehicle i is at speed Energy consumption under Indicates the charging power.

[0108] 3. 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 grid under the V2G scenario.

[0110] Electric vehicles not only participate in the operation of the power grid as loads, but can also reversely supply power to the grid through 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, we can build a frequency response model. When the electric vehicle performs reverse power supply, the frequency response model of the power grid is as follows:

[0112]

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

[0114] Then, a power flow model can be constructed to describe the power flow between electric vehicles and the power grid. The power flow model is shown as follows:

[0115]

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

[0117] 4. 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 and is used to optimize the layout location of charging stations.

[0119] First, we can build a charging station layout model. The layout of charging stations can be solved by an optimization problem. Its goal is to maximize the load distribution balance of the power grid while minimizing the waiting time for vehicle charging. Its optimization function is shown as follows:

[0120]

[0121] in, represents the distance from electric vehicle i to the nearest charging station; represents the charging cost of the charging station; Represents the weight coefficient.

[0122] In practical applications, the reasonable layout of electric vehicle charging stations plays an important role in reducing the load on the power grid and optimizing the transient response characteristics. Based on the charging station layout model, by further mining the simulation data, the in-depth analysis of the impact of the site selection and layout of the charging station on the transient characteristics of the power grid and the establishment of a new site can be achieved.

[0123] The multi-dimensional hybrid simulation unit 103 is mainly engaged in the data interaction between the model and the power grid simulation equipment. Among them, 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) AC / DC power supply device. In the multi-dimensional hybrid simulation unit 103, the transient simulation of the power grid is mainly carried out. The data it receives is mainly input by the transient simulation collaborative management unit 101 and the electric vehicle-charging pile control unit 104. Therefore, there is a mapping relationship between the multi-dimensional 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 position and charging power of the charging pile occupied during the charging process of the electric vehicle, and calculates the transient characteristics based on the position 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 a specific implementation, the multi-dimensional hybrid simulation unit 103 mainly performs grid transient simulation based on dispatching control instructions and timing simulation data, generates grid transient simulation data, and sends the grid transient simulation data to the electric vehicle-traffic collaborative simulation unit 105 through the transient simulation collaborative management unit 101.

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

[0126] In an embodiment of the present invention, a new type of electric hybrid simulation system that considers urban traffic integration is provided. By combining the urban traffic network model with the transient simulation of the power grid, the temporal and spatial characteristics of the running trajectory of electric vehicles in the city and their charging and discharging behaviors can be fully considered, so that the model can more accurately reflect the dynamic impact of electric vehicle clusters on the power grid in actual traffic scenarios. The new hybrid simulation architecture proposed in the present invention can cover the movement and charging and discharging characteristics of electric vehicle clusters, the distribution of charging piles and electric vehicle clusters, and realize the joint simulation between electric vehicle clusters, charging piles and urban power grids. It has a relatively complete supply-demand-use-storage multi-dimensional structure, can be widely used in different power grids and electric vehicle application scenarios, and provide more accurate transient simulation results and broaden the optimization strategy.

[0127] based on Figure 1In order to 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 new electric hybrid simulation system considering urban traffic integration is shown.

[0128] Figure 2 In the embodiment, the hybrid simulation system can mainly include an electric vehicle and power grid time-sequence transient simulation collaborative management system 201, a dispatching master station 202 connected to a 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 traffic and energy system simulation system 205. Among them, 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 dispatching 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 traffic and energy system simulation system 205 mainly participate in the electric vehicle cluster and urban traffic side (i.e., electric vehicle cluster side) simulation process. The electric vehicle and power grid time sequence transient simulation collaborative management system 201 and the electric vehicle and charging pile control system 204 mainly serve as the interactive interface and information processing conversion center between the power grid side and the electric vehicle cluster side.

[0130] The dispatching master station 202, i.e., the power grid dispatching center, is responsible for sending peak load regulation instructions and secondary frequency regulation instructions to the electric vehicle and power grid timing transient simulation collaborative management system 201.

[0131] After receiving the peak shaving instruction and the secondary frequency modulation instruction, the electric vehicle and power grid timing transient simulation collaborative management system 201 sends the peak shaving instruction to the electric vehicle cluster and traffic and energy system simulation system 205, and at the same time sends the peak shaving instruction and the secondary frequency modulation instruction to the electric vehicle and charging pile control system 204.

[0132] After receiving the peak shaving instruction and the secondary frequency modulation instruction, the electric vehicle and charging pile control system 204 generates a primary frequency modulation control instruction and a secondary frequency modulation control instruction based on the peak shaving instruction and the secondary frequency modulation instruction, and sends the primary frequency modulation control instruction and the secondary frequency modulation control instruction to the power grid-charging pile-electric vehicle digital-physical hybrid simulation system 203. At the same time, the electric vehicle and charging pile control system 204 is also responsible for receiving the power grid frequency and other information sent by the power grid-charging pile-electric vehicle digital-physical hybrid simulation system 203, so as to adjust the power based on the power grid frequency and other information to 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 sequence transient simulation collaborative management system 201 for processing by the electric vehicle and power grid time sequence transient simulation collaborative management system 201. In addition, the electric vehicle and charging pile control system 204 can also manage the charging and discharging of different types of charging piles such as super charging, fast charging and slow charging installed in existing cities (within the jurisdiction).

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

[0134] After receiving the primary frequency modulation instruction, the secondary frequency modulation instruction and the timing 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 modulation instruction, the secondary frequency modulation instruction and the timing 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 timing transient simulation collaborative management system 201.

[0135] Reference Figure 3 , shows a flowchart of the steps of a new electric hybrid simulation method considering urban traffic integration provided by an embodiment of the present invention, the method is applied to the new electric hybrid simulation system considering urban traffic integration as described in the above embodiment, and the method may specifically include the following steps:

[0136] Step 301, sending the dispatch instruction issued by the dispatch master station unit 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, generating a dispatch control instruction based on the dispatch instruction by the electric vehicle-charging pile control unit, and sending the dispatch control instruction to the multi-dimensional hybrid simulation unit;

[0138] Step 303, performing long-time-scale and power grid-related collaborative simulation based on the dispatch instruction through the electric vehicle-traffic collaborative simulation unit to generate timing simulation data, and sending the timing simulation data to the multi-dimensional hybrid simulation unit through the transient simulation collaborative management unit;

[0139] Step 304, performing grid transient simulation based on the dispatching control instruction and the timing simulation data through the multi-dimensional hybrid simulation unit to generate grid transient simulation data, and sending the grid transient simulation data to the electric vehicle-traffic collaborative simulation unit through the transient simulation collaborative management unit.

[0140] In an optional embodiment, the dispatching instruction includes a peak load regulation instruction and a secondary frequency regulation instruction, and the dispatching instruction issued by the dispatching master station unit is sent to the electric vehicle-charging pile control unit and the electric vehicle-traffic collaborative simulation unit by the transient simulation collaborative management unit, including:

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

[0142] Sending the peak-shaving instruction to the electric vehicle-traffic collaborative simulation unit, and sending the peak-shaving instruction and the secondary frequency modulation instruction to the electric vehicle-charging pile control unit;

[0143] The method further comprises, by the transient simulation collaborative management unit:

[0144] Receiving the time series simulation data sent by the electric vehicle-traffic collaborative simulation unit, and pre-processing the time series simulation data before sending it to the multi-dimensional hybrid simulation unit;

[0145] The power grid transient simulation data sent by the multi-dimensional hybrid simulation unit is received, and the power grid transient simulation data is pre-processed and then sent to the electric vehicle-traffic collaborative simulation unit.

[0146] In an optional embodiment, the electric vehicle-traffic collaborative simulation unit performs a long-time scale and power grid-related collaborative simulation based on the scheduling instruction to generate timing simulation data, and sends the timing simulation data to the multi-dimensional hybrid simulation unit through the transient simulation collaborative management unit, including:

[0147] Receiving a peak load regulation instruction sent by the transient simulation collaborative management unit;

[0148] Based on the peak load-shaving instruction, a long-time scale and power grid-related collaborative simulation is performed on the electric vehicle user side to generate time series simulation data that simultaneously reflects the status of the electric vehicle cluster and the road traffic network;

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

[0150] In an optional embodiment, the electric vehicle-traffic 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 method also includes:

[0151] The electric vehicle cluster model is used to simulate the charging and discharging behaviors of electric vehicles in different scenarios;

[0152] 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;

[0153] The frequency response and power flow of the power grid in the V2G scenario are simulated by the electric vehicle-grid bidirectional interaction model;

[0154] 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.

[0155] In an optional embodiment, the electric vehicle-traffic collaborative 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 and discharge management module; the method further includes:

[0156] Participating in the bridging between the electric vehicle-traffic collaborative simulation unit and the transient simulation collaborative management unit through the simulation device interface;

[0157] Participate in the calculation and coordination of carbon emissions from power production during regional charging and discharging through the carbon flow simulation module;

[0158] Participate in the charge and discharge management between the electric vehicle and the charging pile through the charge and discharge management module;

[0159] Participating in the integration of the carbon flow simulation module through the multi-energy flow simulation module;

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

[0161] In an optional embodiment, the dispatching control instruction includes a primary frequency modulation control instruction and a secondary frequency modulation control instruction, and the generating of the dispatching control instruction based on the dispatching instruction by the electric vehicle-charging pile control unit, and sending the dispatching control instruction to the multi-dimensional hybrid simulation unit includes:

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

[0163] Generate the primary frequency modulation control instruction and the secondary frequency modulation control instruction based on the peak shaving instruction and the secondary frequency modulation instruction;

[0164] Sending the primary frequency modulation control instruction and the secondary frequency modulation control instruction to the multi-dimensional hybrid simulation unit;

[0165] The method further comprises, by the electric vehicle-charging pile control unit:

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

[0167] Receive the grid frequency information sent by the multi-dimensional hybrid simulation unit, and perform power adjustment 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 an optional embodiment, the multi-dimensional hybrid simulation unit performs a power grid transient simulation based on the dispatching control instruction and the timing simulation data to generate power grid transient simulation data, and sends the power grid transient simulation data to the electric vehicle-traffic collaborative simulation unit through the transient simulation collaborative management unit, including:

[0169] Receive the primary frequency modulation control instruction and the secondary frequency modulation control instruction sent by the electric vehicle-charging pile control unit, and simultaneously receive the pre-processed timing simulation data sent by the transient simulation collaborative management unit;

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

[0171] As for the method embodiment, since it is basically similar to the system embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the aforementioned system embodiment.

[0172] In an embodiment of the present invention, a corresponding hybrid simulation method is proposed based on the proposed new electric hybrid simulation system considering urban traffic integration. By combining the urban traffic network model with the power grid transient simulation, the running trajectory of electric vehicles in the city and the temporal and spatial characteristics of their charging and discharging behaviors can be fully considered, so that the model can more accurately reflect the dynamic impact of electric vehicle clusters on the power grid in actual traffic scenarios.

[0173] An embodiment of the present invention further provides an electronic device, the device comprising a processor and a memory:

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

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

[0176] An embodiment of the present invention further provides a computer-readable storage medium, which is used to store program code, and the program code is used to execute the new electric hybrid simulation method considering urban traffic integration according to any embodiment of the present invention.

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

[0178] In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

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

[0180] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0181] If the integrated unit is implemented in the form of 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. The computer software product is stored in a storage medium, including several 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), random access memory (RAM), disk or optical disk, etc., various media that can store program codes.

[0182] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features thereof may be replaced by equivalents. 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 new electric hybrid simulation system considering urban traffic integration, characterized in that: The novel electric hybrid simulation system comprises 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 respectively 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 transient simulation collaborative management unit is used to send the dispatch instruction 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 is used to generate a dispatch control instruction based on the dispatch instruction, and send the dispatch control instruction to the multi-dimensional hybrid simulation unit; The electric vehicle-traffic collaborative simulation unit is used to perform long-time scale and power grid-related collaborative simulation based on the dispatch instruction, generate time series simulation data, and send the time series simulation data to the multi-dimensional hybrid simulation unit through the transient simulation collaborative management unit; The multi-dimensional hybrid simulation unit is used to perform grid transient simulation based on the dispatching control instructions and the timing simulation data, generate grid transient simulation data, and send the grid transient simulation data to the electric vehicle-traffic collaborative simulation unit through the transient simulation collaborative management unit.

2. The new electric hybrid simulation system considering urban traffic integration according to claim 1 is characterized in that: The dispatching instruction includes a peak load regulation instruction and a secondary frequency regulation instruction, and the transient simulation collaborative management unit is specifically used for: Receiving the peak-shaving instruction and the secondary frequency modulation instruction issued by the dispatching master station unit; Sending the peak-shaving instruction to the electric vehicle-traffic collaborative simulation unit, and sending the peak-shaving instruction and the secondary frequency modulation instruction to the electric vehicle-charging pile control unit; Receiving the time series simulation data sent by the electric vehicle-traffic collaborative simulation unit, and pre-processing the time series simulation data before sending it to the multi-dimensional hybrid simulation unit; The power grid transient simulation data sent by the multi-dimensional hybrid simulation unit is received, and the power grid transient simulation data is pre-processed and then sent to the electric vehicle-traffic collaborative simulation unit.

3. The new electric hybrid simulation system considering urban traffic integration according to claim 1 is characterized in that: The electric vehicle-traffic collaborative simulation unit is specifically used for: Receiving a peak load regulation instruction sent by the transient simulation collaborative management unit; Based on the peak load-shaving instruction, a long-time scale and power grid-related collaborative simulation is performed on the electric vehicle user side to generate time series simulation data that simultaneously reflects the status of the electric vehicle cluster and the road traffic network; The timing simulation data is sent to the transient simulation collaborative management unit.

4. The new electric hybrid simulation system considering urban traffic integration according to claim 3 is characterized in that: The electric vehicle-traffic 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 in 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 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.

5. The novel electric hybrid simulation system considering urban traffic integration according to claim 3 or 4 is characterized in that: The electric vehicle-traffic collaborative simulation unit also includes a simulation device interface, a multi-energy flow simulation module, a carbon flow simulation module, an energy management module, and a charge and discharge management module; The simulation device interface is used to participate in the bridging between the electric vehicle-traffic collaborative simulation unit and the transient simulation collaborative management unit; The carbon flow simulation module is used to participate in the calculation and coordination of carbon emissions from power production during regional charging and discharging; 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 and discharge management module.

6. The new electric hybrid simulation system considering urban traffic integration according to claim 2 is characterized in that: The dispatch control instruction includes a primary frequency modulation control instruction and a secondary frequency modulation control instruction, and the electric vehicle-charging pile control unit is specifically used for: Receiving the peak-shaving instruction and the secondary frequency modulation instruction sent by the transient simulation collaborative management unit; Generate the primary frequency modulation control instruction and the secondary frequency modulation control instruction based on the peak shaving instruction and the secondary frequency modulation instruction; Sending the primary frequency modulation control instruction and the secondary frequency modulation control instruction to the multi-dimensional 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; Receive the grid frequency information sent by the multi-dimensional hybrid simulation unit, and perform power adjustment based on the grid frequency information to balance the charging and discharging power of different charging pile nodes and regional charging pile clusters.

7. The new electric hybrid simulation system considering urban traffic integration according to claim 6 is characterized in that: The multi-dimensional hybrid simulation unit is specifically used for: Receive the primary frequency modulation control instruction and the secondary frequency modulation control instruction sent by the electric vehicle-charging pile control unit, and simultaneously receive the pre-processed timing simulation data sent by the transient simulation collaborative management unit; Based on the primary frequency modulation control instruction, the secondary frequency modulation control instruction and the timing simulation data, a power grid transient simulation is performed to generate power grid transient simulation data, and the power grid transient simulation data is sent to the transient simulation collaborative management unit.

8. A new electric hybrid simulation method considering urban traffic integration, characterized in that: A new type of electric hybrid simulation system is applied to consider urban traffic integration, the new type of electric 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 respectively 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 comprises: The dispatching instruction issued by the dispatching master station unit is sent to the electric vehicle-charging pile control unit and the electric vehicle-traffic collaborative simulation unit through the transient simulation collaborative management unit; Generate a dispatch control instruction based on the dispatch instruction by the electric vehicle-charging pile control unit, and send the dispatch control instruction to the multi-dimensional hybrid simulation unit; The electric vehicle-traffic collaborative simulation unit performs a long-time scale and power grid-related collaborative simulation based on the dispatch instruction to generate time series simulation data, and sends the time series simulation data to the multi-dimensional hybrid simulation unit through the transient simulation collaborative management unit; The multi-dimensional hybrid simulation unit performs grid transient simulation based on the dispatching control instruction and the timing simulation data to generate grid transient simulation data, and sends the grid transient simulation data to the electric vehicle-traffic collaborative simulation unit through the transient simulation collaborative management unit.

9. An electronic device, characterized in that: The device comprises 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 traffic integration as described in claim 8 according to the instructions in the program code.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium is used to store program codes, and the program codes are used to execute the new electric hybrid simulation method considering urban traffic integration as described in claim 8.

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