CN-121997747-A - Energy interconnection framework parameter matching design method, system and medium

CN121997747ACN 121997747 ACN121997747 ACN 121997747ACN-121997747-A

Abstract

The invention provides an energy interconnection framework parameter matching design method, system and medium, which belong to the technical field of power systems and comprise the steps of determining energy interconnection framework parameters including framework types, port types and port numbers, determining constraint conditions of the energy interconnection framework parameters, constructing full life cycle use efficiency as an objective function, solving fitness values according to the objective function, optimizing the energy interconnection framework parameters through an improved gold-in-Chinese optimization algorithm to obtain energy interconnection framework parameters with optimal fitness values, and determining an energy interconnection framework parameter matching design scheme according to the optimal energy interconnection framework parameters. The method can quickly generate the optimal energy interconnection framework parameter matching design scheme, and the energy interconnection framework formed by the design scheme can realize optimal use efficiency.

Inventors

YUAN DONG
WEI SHUGUANG
LIU CHUNGUANG
CHEN KEWEI
LI JIAQI
ZHANG YUNYIN
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 interconnection framework parameter matching design method is characterized by comprising the following steps of: determining energy interconnection framework parameters including framework type, port type and port number; Determining constraint conditions of energy interconnection framework parameters, constructing full life cycle use efficiency as an objective function, solving a fitness value according to the objective function, optimizing the energy interconnection framework parameters through an improved gold jackal optimization algorithm to obtain the energy interconnection framework parameters with the optimal fitness value, wherein the improved gold jackal optimization algorithm introduces a dandelion optimization algorithm and a position updating mechanism of an alpha evolution algorithm in an exploration stage and a development stage of an original Jin Chai optimization algorithm, 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 iteration gold jackal, the self-adaptive search step length of the gold jackal and an attenuation factor, and carries out position updating of the next generation.
2. The method for designing the parameter matching of the energy interconnection framework according to claim 1, wherein the position updating of the exploration phase of the improved 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 r is a random number within [0,1 ]; The self-adaptive search step length of the jackal is that of gold; Is the attenuation factor 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 is the individual of the energy interconnection framework parameters after the t+1st iteration in the exploration phase; 、、 And Is a random number within [0,1 ].
3. The energy interconnection framework parameter matching design method according to claim 2, wherein the position update of the development stage of the improved 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; The formula for updating the position of the jackal is as follows: ; Wherein: The position of the jackfruit after the t+1st iteration is the individual of the energy interconnection framework parameters after the t+1st iteration in the development stage; 、 And Is a random number within [0,1 ].
4. The method for designing the parameter matching of the energy interconnection framework according to claim 3, wherein the framework type comprises a radiation type with single-path power supply, a ring network type with bidirectional power supply, a net type with multi-path interconnection and a layered partition type with layered main network and sub network, and the port type is a multi-energy port type.
5. The energy interconnection architecture parameter matching design method according to claim 4, wherein the constraint conditions include a power balance constraint and a port capacity constraint; Wherein the power balance constraint: in the formula, Determining the output power of the generator according to the architecture type; The charge and discharge power of the energy storage equipment is determined according to the port type and the port number; For load demand power, dynamically adjusting through the number of ports to meet the demand; For line loss power, determined by architecture type; The port capacity constraint is related to the architecture type and the port type, the basic load is determined according to the architecture type, the port number needs to meet the minimum port number required by the basic load, the maximum port number limited by the physical size of the equipment is determined according to the port type, and the port number needs to be smaller than or equal to the port number.
6. The energy interconnection architecture parameter matching design method according to claim 5, wherein the construction of the objective function comprises the following steps: determining output efficiency according to the architecture type, the port type and the port number; Determining full life cycle cost according to port types and port numbers; And constructing an objective function of the full life cycle use efficiency according to the ratio of the full life cycle effective energy output to the full life cycle cost so as to maximize the optimization objective.
7. A design system for an electrical 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 energy interconnection architecture parameter matching design method as claimed in 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, the data processing program implementing the steps of the energy interconnection architecture parameter matching design method according to any one of claims 1 to 6 when executed by a processor.

Description

Energy interconnection framework parameter matching design method, system and medium Technical Field The invention relates to the technical field of power systems, in particular to an energy interconnection framework parameter matching design method, system and medium. Background The energy interconnection framework is an intelligent network system integrating various energy forms (such as electricity, gas, heat, cold and the like) based on advanced information technology and energy technology. The energy management system realizes high-efficiency production, transmission, storage and consumption of energy through a highly-interconnected energy network, and aims to improve the energy utilization efficiency, promote the consumption of renewable energy, enhance the reliability and safety of energy supply and promote the sustainable development of the energy industry. The energy interconnection framework parameter matching design is one of key technologies in the electric power field, so that the characteristics of the energy interconnection framework are studied in depth, and the development of the energy interconnection framework parameter matching design research 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 electric power system. However, jin Chai optimization algorithm still has some defects, so that the algorithm is easy to fall into a local optimal value, the convergence accuracy is not high, and an ideal design effect is often not achieved when the energy interconnection framework parameter matching design is carried out. Disclosure of Invention The invention provides an energy interconnection framework parameter matching design method, which can quickly generate an optimal energy interconnection framework parameter matching design scheme, and the energy interconnection framework formed by the design scheme can realize optimal use efficiency. The method specifically comprises the following steps: determining energy interconnection framework parameters including framework type, port type and port number; Determining constraint conditions of energy interconnection framework parameters, constructing full life cycle use efficiency as an objective function, solving a fitness value according to the objective function, optimizing the energy interconnection framework parameters through an improved gold jackal optimization algorithm to obtain the energy interconnection framework parameters with the optimal fitness value, wherein the improved gold jackal optimization algorithm introduces a dandelion optimization algorithm and a position updating mechanism of an alpha evolution algorithm in an exploration stage and a development stage of an original Jin Chai optimization algorithm, 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 iteration gold jackal, the self-adaptive search step length of the gold jackal and an attenuation factor, and carries out position updating of the next generation. 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 r is a random number within [0,1 ]; The self-adaptive search step length of the jackal is that of gold; Is the attenuation factor 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 is the individual of the energy interconnection framework parameters after the t+1st iteration in the exploration phase; 、、 And Is a random number within [0,1 ]. Preferably, the position update of the development stage of the improved jackfruit 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