CN-121997746-A - Energy configuration parameter optimization design method, system and medium for comprehensive power system

CN121997746ACN 121997746 ACN121997746 ACN 121997746ACN-121997746-A

Abstract

The invention provides an energy configuration parameter optimization design method, system and medium of a comprehensive power system, belonging to the technical field of comprehensive power systems. Determining constraint conditions of energy configuration parameters, taking energy transmission efficiency of a comprehensive power system as an objective function, solving a fitness value according to the objective function, and optimizing design parameters through an improved type gold jackal optimization algorithm to obtain the energy configuration parameters with the optimal fitness value, wherein the improved type gold jackal optimization algorithm introduces a position updating mechanism of a mountain climbing optimization algorithm and a moss growth optimization algorithm in an exploration stage and a development stage of an original algorithm. And determining an energy configuration parameter optimization design scheme of the comprehensive power system according to the optimal energy configuration parameter. The method can quickly generate the optimal design scheme of the energy configuration parameters of the optimal comprehensive power system, and the comprehensive power system formed by the design scheme can realize the optimal transmission efficiency.

Inventors

WEI SHUGUANG
ZHANG YUNYIN
CHEN KEWEI
LIU CHUNGUANG
ZHANG JIAXI
XU FEIFAN

Assignees

中国人民解放军陆军兵种大学

Dates

Publication Date: 20260508
Application Date: 20260127

Claims (8)

1. The energy configuration parameter optimization design method of the comprehensive power system is characterized by comprising the following steps of: Determining energy configuration parameters to be optimized according to basic parameters of the comprehensive power system; Determining constraint conditions of energy configuration parameters, taking energy transmission efficiency of a comprehensive power system as an objective function, calculating an fitness value according to the objective function, and optimizing design parameters through an improved type gold jackal optimization algorithm to obtain the energy configuration parameters with the optimal fitness value, wherein the improved type gold jackal optimization algorithm introduces a mountain climbing team optimization algorithm and a moss growth optimization algorithm position updating mechanism in an original Jin Chai optimization algorithm exploration stage and a development stage, improves a gold jackal position updating mode, comprehensively considers factors of selecting different position updating modes according to switching probability, the optimal position of the current iterative gold jackal, an average value of gold jackal positions, a propagation distance of gold jackal and strength of gold jackal to carry out next generation position updating; And determining an energy configuration parameter optimization design scheme of the comprehensive power system according to the optimal energy configuration parameter.
2. The method for optimizing design of energy configuration parameters of an integrated power system according to claim 1, wherein the position update of the exploration phase of the improved jackal optimizing algorithm comprises the following steps: The position update formula for male Jin Chai and female jackal is: ; ; Wherein t is the current iteration times; The position of the prey for the t-th iteration; 、 Positions of male Jin Chai and female jackal, respectively, of the t-th iteration; 、 updated positions of male Jin Chai and female Jin Chai, respectively, corresponding to the prey for the t-th iteration; Representing a random number based on a Lewye distribution; Escape energy for the prey; The position of the jackfruit after the t-th iteration; ; ; ; Wherein: the average value of the gold jackal positions of the current t-th iteration is obtained; The propagation distance of the jackal; Is a constant parameter, set to 2; is a random number in [0,1], Q is the intensity of gold jackal; the final formula for updating the position of the jackal is improved as follows: ; Wherein: The position of the jackfruit after the t+1st iteration; And Is a random number within [0,1 ].
3. The method for optimizing design parameters of energy configuration of integrated power system according to claim 2, wherein the position update of the development stage of the improved jackal optimizing algorithm comprises the following steps: The position update formula for male Jin Chai and female jackal is: ; ; Wherein t is the current iteration times; The position of the prey for the t-th iteration; 、 Positions of male Jin Chai and female jackal, respectively, of the t-th iteration; 、 updated positions of male Jin Chai and female Jin Chai, respectively, corresponding to the prey for the t-th iteration; Representing a random number based on a Lewye distribution; Escape energy for the prey; The position of the jackfruit after the t-th iteration; The formula for updating the position of the jackal is as follows: ; Wherein: The position of the jackfruit after the t+1st iteration; And Is a random number within [0,1 ].
4. The method for optimizing design of energy configuration parameters of a comprehensive power system according to claim 3, wherein the basic parameters of the comprehensive power system comprise power system parameters, motor system parameters, power electronic system parameters and comprehensive management system parameters; The power system parameters include battery capacity, battery voltage, charge power, battery charge and discharge efficiency, and battery life; the motor system parameters include motor power, motor efficiency, and motor torque; The power electronics system parameters include inverter efficiency and converter efficiency; The integrated management system parameters include energy management system parameters and thermal management system parameters.
5. The method for optimizing design of energy configuration parameters of an integrated power system according to claim 4, wherein the optimization of energy configuration parameters comprises matching of battery power parameters and motor power parameters, optimization of thermal management system parameters, energy output of power supply system parameters and other multi-source energy system parameters, control parameters of charging process, and control parameters of energy distribution of the energy management system.
6. The method for optimizing design of energy configuration parameters of an integrated power system according to claim 5, wherein the construction of the objective function comprises the following steps: Determining a charge-discharge efficiency model of a battery, an efficiency model of a motor, an inverter efficiency model, a converter efficiency model and an energy recovery efficiency model of regenerative braking according to basic parameters and energy configuration parameters of the comprehensive power system; Constructing a total transmission efficiency calculation model according to a charge and discharge efficiency model of the battery, an efficiency model of the motor, an inverter efficiency model, a converter efficiency model and an energy recovery efficiency model of regenerative braking; And according to the total transmission efficiency calculation model, maximizing the transmission efficiency as an optimization target of the energy configuration parameters.
7. A design system for an integrated power system, the system comprising: A processor; A memory having stored thereon a computer program executable on the processor; Wherein the computer program, when executed by a processor, implements the steps of the integrated power system energy configuration parameter optimization design method of any one of claims 1 to 6.
8. A computer-readable storage medium, wherein a data processing program is stored on the computer-readable storage medium, and the data processing program, when executed by a processor, implements the steps of the integrated power system energy configuration parameter optimization design method according to any one of claims 1 to 6.

Description

Energy configuration parameter optimization design method, system and medium for comprehensive power system Technical Field The invention relates to the technical field of comprehensive power systems, in particular to an energy configuration parameter optimization design method, system and medium of a comprehensive power system. Background A vehicle integrated Power System (VIPs) is a System integrating multiple Power energy sources and transmission mechanisms, and is used for supporting Power requirements of vehicles such as Electric Vehicles (EV) or Hybrid Electric Vehicles (HEV). To ensure efficient operation of the vehicle, the system design involves a number of basic parameters and energy configuration parameters to be optimized. The optimization design of the energy configuration parameters of the comprehensive power system is one of key technologies for the land fight platform to win, so that the characteristics of the energy configuration of the comprehensive power system are studied in depth, and the development of the optimization design research of the energy configuration parameters of the comprehensive power system is urgent and necessary. The intelligent optimization algorithm is one of hot contents of artificial intelligent research, and has been widely applied to the optimization design in the electric power field. The Jin Chai optimization algorithm (Golden jackal optimization algorithm, GJOA) is a new meta-heuristic algorithm proposed in 2022, is a novel intelligent optimization algorithm imitating the cooperation hunting behavior of jackal, and can be applied to the integrated matching design problem of the comprehensive power system. However, the Jin Chai optimization algorithm still has some defects, so that the algorithm is easy to fall into local optimum and the convergence accuracy is not high, and when the energy configuration parameter optimization design of the comprehensive power system is carried out, the optimal energy configuration parameter in the optimization direction cannot be obtained, and the ideal design effect cannot be achieved. Disclosure of Invention The invention provides an energy configuration parameter optimization design method of a comprehensive power system, which can quickly generate an optimal comprehensive power system energy configuration parameter optimization design scheme, and the comprehensive power system formed by the design scheme can realize optimal transmission efficiency. The method specifically comprises the following steps: Determining energy configuration parameters to be optimized according to basic parameters of the comprehensive power system; Determining constraint conditions of energy configuration parameters, taking energy transmission efficiency of a comprehensive power system as an objective function, calculating an fitness value according to the objective function, and optimizing design parameters through an improved type gold jackal optimization algorithm to obtain the energy configuration parameters with the optimal fitness value, wherein the improved type gold jackal optimization algorithm introduces a mountain climbing team optimization algorithm and a moss growth optimization algorithm position updating mechanism in an original Jin Chai optimization algorithm exploration stage and a development stage, improves a gold jackal position updating mode, comprehensively considers factors of selecting different position updating modes according to switching probability, the optimal position of the current iterative gold jackal, an average value of gold jackal positions, a propagation distance of gold jackal and strength of gold jackal to carry out next generation position updating; And determining an energy configuration parameter optimization design scheme of the comprehensive power system according to the optimal energy configuration parameter. Preferably, the position update of the exploration phase of the modified jackal optimization algorithm comprises the following steps: The position update formula for male Jin Chai and female jackal is: ; ; Wherein t is the current iteration times; The position of the prey for the t-th iteration; 、 Positions of male Jin Chai and female jackal, respectively, of the t-th iteration; 、 updated positions of male Jin Chai and female Jin Chai, respectively, corresponding to the prey for the t-th iteration; Representing a random number based on a Lewye distribution; Escape energy for the prey; The position of the jackfruit after the t-th iteration; ; ; ; Wherein: the average value of the gold jackal positions of the current t-th iteration is obtained; The propagation distance of the jackal; Is a constant parameter, set to 2; is a random number in [0,1], Q is the intensity of gold jackal; The position update formula of the jackal is improved as follows: ; Wherein: The position of the jackfruit after the t+1st iteration; And Is a random number within [0,1 ]. Preferably, the position update of the