CN-122026460-A - Virtual power plant charging and discharging scheduling method based on electric automobile aggregation

CN122026460ACN 122026460 ACN122026460 ACN 122026460ACN-122026460-A

Abstract

The invention relates to the technical field of power dispatching, in particular to a virtual power plant charge-discharge dispatching method based on electric vehicle aggregation, which comprises the steps of constructing a running characteristic model based on electric vehicle user behaviors, and simulating and generating a typical travel period and a charging load of an electric vehicle by a Monte Carlo method; the method comprises the steps of constructing a power generation model and a load transferring model, setting different vehicle types to participate in virtual power plant scheduling, and constructing a virtual power plant overall operation cost minimization objective function based on the different vehicle types. The invention solves the problem that the energy-saving effect is poor because the battery loss factors of different vehicle types are not considered in the existing method.

Inventors

ZHANG XIAOHUA
FEI FEI
ZENG ZIYUE
CHEN XIUDONG
LV JUNYAN

Assignees

常州大学

Dates

Publication Date: 20260512
Application Date: 20260126

Claims (10)

1. The virtual power plant charging and discharging scheduling method based on electric automobile aggregation is characterized by comprising the following steps of: Step one, constructing a driving characteristic model based on the user behavior of the electric automobile, and simulating and generating a typical trip period and charging load of the electric automobile through a Monte Carlo method; Step two, constructing a power generation model and a load transfer model; Step three, setting different vehicle types to participate in virtual power plant scheduling; And fourthly, constructing a virtual power plant overall operation cost minimization objective function based on different vehicle types.
2. The virtual power plant charge-discharge scheduling method based on electric automobile aggregation according to claim 1, wherein the formula of the objective function is: ; In the formula, The electricity selling cost benefit is obtained for market purchase; fuel cost for the gas turbine; compensating for interruptible load costs; compensating costs for transferable loads; The battery loss cost of the electric automobile is realized.
3. The virtual power plant charge-discharge scheduling method based on electric vehicle aggregation according to claim 2, wherein the formula of the electric vehicle battery loss cost is: ; In the formula, Penalty weight coefficients for loss; the discharge power of the electric automobile i at the time t; ; ; In the formula, Represent the first Battery replacement cost of the vehicle; Representing battery capacity; Representing the rated cycle times; Is the average level of the battery state of the electric automobile; representing an upper SOC limit; Indicating the SOC lower limit.
4. The electric vehicle aggregation-based virtual power plant charge-discharge scheduling method according to claim 1, wherein the virtual power plant is subjected to power balance constraint, and the formula is: ; In the formula, For wind power generation Output power of the time period; Is photovoltaic at Output power of the time period; In a gas turbine Output power of the time period; For VPP at Purchasing electric power from a power grid in a period; To store energy in Discharge power of the period; To store energy in Charging power at that time; Is that Total discharge power of the electric vehicle in the period; Is that Total charging power of the electric vehicle during the period; Is that The required power of the total load of the period.
5. The electric vehicle aggregation-based virtual power plant charge and discharge scheduling method according to claim 1, wherein the electric vehicles are subjected to charge and discharge constraint, and the formula is as follows: ; In the formula, The number of the electric vehicles which are controllable by the virtual power plant in the t period; Is that Equivalent output of the electric automobile in a period of time; The average charge state of the electric automobile at the previous moment; The power consumption is the unit mileage of the electric automobile; the average driving mileage of the electric automobile; Is that The number of electric vehicles newly added to the system in the period.
6. The electric vehicle aggregation-based virtual power plant charge and discharge scheduling method according to claim 1, wherein the overall operation cost minimization objective function and the power balance constraint are combined to obtain an MILP model, and CPLEX is called to solve the MILP model to obtain charge and discharge strategies of different vehicle types and output strategies of a power supply system.
7. The method for dispatching charge and discharge of virtual power plants based on electric automobile aggregation according to claim 1, wherein the power generation model comprises wind power, photovoltaic, a gas turbine and energy storage.
8. The electric vehicle aggregation-based virtual power plant charge and discharge scheduling method according to claim 1, wherein the vehicle model comprises BIDIY, nissan, mitsubishi and BMW.
9. The virtual power plant charge and discharge scheduling system based on electric automobile aggregation is characterized by comprising a memory and a processor, wherein the memory is used for storing instructions executable by the processor, and the processor is used for executing the instructions to realize the virtual power plant charge and discharge scheduling method based on electric automobile aggregation according to any one of claims 1-8.
10. Computer readable medium storing computer program code, characterized in that the computer program code, when executed by a processor, implements the virtual power plant charge-discharge scheduling method based on electric vehicle aggregation according to any one of claims 1-8.

Description

Virtual power plant charging and discharging scheduling method based on electric automobile aggregation Technical Field The invention relates to the technical field of power dispatching, in particular to a virtual power plant charge-discharge dispatching method based on electric automobile aggregation. Background The electric vehicle is used as a movable and bidirectional adjustable load resource, the holding quantity of the electric vehicle shows a rapid growth trend and gradually has the potential of participating in power system dispatching, and the electric vehicle is used as an important component unit in a virtual power plant, and is used for serving power grid operation while guaranteeing travel demands of users through reasonable aggregation and optimal regulation, so that the electric vehicle becomes an important point in the current power system optimizing dispatching field. The method comprises the steps of reading a planned power grid topological graph, and obtaining the number of load nodes, the number of important load nodes, the number of branch paths, the number of the controllable tangent lines, the number of substations and the number of 500kV substations, wherein the publication number is CN 116231638A; the method mainly solves the problem of electricity safety at a user side and cannot solve the problem of charge and discharge optimization of a new energy automobile, and meanwhile, the method adopts a decision tree model, and has the problems of insufficient stability, easy fitting and weak generalization capability. In addition, in the prior art, physical measures such as maintaining proper temperature, preheating a battery, driving habit, improving battery materials, intelligent management of a BMS and the like are often adopted for solving the degradation speed of the electric automobile. Disclosure of Invention Aiming at the defects of the existing method, the invention builds the virtual power plant charge-discharge optimization model fused with the electric vehicle aggregation scheduling under the background of strong fluctuation of new energy output such as wind and light and uncertainty of the electric vehicle charge-discharge behavior, thereby greatly reducing the battery decay speed of the electric vehicle, better realizing the load balance of a power grid and reducing the running cost of the system. The virtual power plant charging and discharging scheduling method based on electric automobile aggregation comprises the following steps: Step one, constructing a driving characteristic model based on the user behavior of the electric automobile, and simulating and generating a typical trip period and charging load of the electric automobile through a Monte Carlo method; Step two, constructing a power generation model and a load transfer model; as a preferred embodiment of the invention, the power generation model comprises wind power, photovoltaic, a gas turbine and energy storage. Step three, setting different vehicle types to participate in virtual power plant scheduling; as a preferred embodiment of the present invention, the vehicle type includes Biedi, nissan, mitsubishi and BMW. Step four, constructing a virtual power plant overall operation cost minimization objective function based on different vehicle types; as a preferred embodiment of the present invention, the formula of the objective function is: (10) In the formula, The electricity selling cost benefit is obtained for market purchase; fuel cost for the gas turbine; compensating for interruptible load costs; compensating costs for transferable loads; The battery loss cost of the electric automobile is realized. According to the invention, by constructing the optimal scheduling model with the minimum overall operation cost as a target and combining a time-of-use electricity price mechanism, the electric vehicle is effectively guided to charge in a valley period and discharge in a peak period, so that the adjustment response to the fluctuation output of new energy is realized, the flexibility and the economy of the power grid operation are enhanced, the peak clipping and valley filling and the load balancing of the power system are realized, the cooperative utilization efficiency of distributed resources and the capacity of new energy are improved, and an important support is provided for constructing a high-efficiency, reliable and low-carbon modern power system. As a preferred embodiment of the present invention, the formula of the battery loss cost of the electric vehicle is: ; In the formula, Penalty weight coefficients for loss; the discharge power of the electric automobile i at the time t; ; ; In the formula, Represent the firstBattery replacement cost of the vehicle; Representing battery capacity; Representing the rated cycle times; Is the average level of the battery state of the electric automobile; representing an upper SOC limit; Indicating the SOC lower limit. As a preferred embodiment of the presen