CN-122026435-A - Shared energy storage optimal configuration method and device for railway traction station shared energy storage structure

CN122026435ACN 122026435 ACN122026435 ACN 122026435ACN-122026435-A

Abstract

The invention relates to a shared energy storage optimizing configuration method and a device for a shared energy storage structure of a railway traction station, belonging to the technical field of energy storage optimizing configuration, and comprising the steps of establishing a shared energy storage operation benefit model; the method comprises the steps of establishing a micro energy network agent operation benefit model, establishing a shared energy storage structure energy mutual-aid operation benefit model, setting constraint conditions of the shared energy storage structure energy mutual-aid operation benefit model, combining the shared energy storage structure energy mutual-aid operation benefit model and the shared energy storage operation benefit model, and carrying out shared energy storage configuration optimization to obtain storage capacity configured by the shared energy storage for each micro energy network agent. According to the invention, energy interconnection among the micro energy network agents is carried out through shared energy storage, so that the energy utilization efficiency of the railway traction system is improved, and the self-balance of energy supply of the railway traction station and the peripheral micro energy network groups is realized to a large extent.

Inventors

ZHANG SIQI
LI DONGSEN
CHEN ZHEFENG
ZHANG YUHONG
WEI YINZHONG
ZHA SHENSEN
ZHU DONGSHENG
ZHOU JIANGSHAN
WANG ZHANGFAN

Assignees

中国能源建设集团投资有限公司
中国能源建设集团江苏省电力设计院有限公司

Dates

Publication Date: 20260512
Application Date: 20251105
Priority Date: 20250929

Claims (9)

1. A shared energy storage optimizing configuration method for a shared energy storage structure of a railway traction station is characterized in that the shared energy storage structure of the railway traction station comprises shared energy storage and a plurality of electric cold and hot micro energy networks containing the railway traction station, wherein each micro energy network is provided with an agent; The shared energy storage optimizing configuration method comprises the following steps: establishing a shared energy storage operation benefit model by taking the periodic benefit of the maximized shared energy storage as a target; establishing a micro energy network agent operation benefit model by taking the minimum periodic operation cost of the micro energy network as a target; Establishing a shared energy storage structure energy mutual-aid operation benefit model aiming at minimizing the period operation total cost of all micro energy network agents based on the micro energy network agent operation benefit model; the objective function of the energy mutual-aid operation benefit model of the shared energy storage structure is the sum of the operation benefit objective functions of all micro energy network agents; Setting constraint conditions of an energy mutual-aid operation benefit model of a shared energy storage structure, wherein the constraint conditions comprise energy balance constraint and a shared energy storage operation constraint set; And combining the energy mutual-aid operation benefit model of the shared energy storage structure and the shared energy storage operation benefit model to perform shared energy storage configuration optimization so as to obtain storage capacity configured by the shared energy storage for each micro energy network agent.
2. The method for optimizing configuration of shared energy storage for a railway traction station shared energy storage structure according to claim 1, wherein the shared energy storage operation benefit model considers power cost, capacity cost and periodic maintenance cost, and charge and discharge fees charged to each micro energy network agent, and the objective function is specifically as follows: ; ; ; In the formula, In order to share the periodic benefits of storing energy, In order to share the periodic benefits of storing energy, In order to share the periodic composite cost of energy storage, K is the total number of agents of the micro energy network, T is the period of the lease operation of the shared energy storage; the energy storage and discharge power of the shared energy storage is used by the micro energy network agent k in the period t respectively; for the period of shared energy storage rental operation, The unit power price and the unit capacity price of the shared energy storage are respectively; the power limit and the rated capacity of the shared energy storage are respectively; representing the service life of the shared energy storage; representing the periodic operation and maintenance costs of the shared storage.
3. The method for optimizing configuration of shared energy storage for a railway traction station according to claim 1, wherein the micro energy network agent operation benefit model considers the outsourcing electricity cost, the shared heat storage capacity and power use cost, the main network gas transmission cost, the micro energy network unit operation cost, and the power supply, gas supply and heat supply benefits inside the shared energy storage structure, and the objective functions thereof are as follows: ; In the formula, Respectively representing the outward electricity purchasing cost, the shared energy storage capacity and power using cost, the main network gas transmission cost and the micro energy source network unit operation cost of the micro energy source network agent k; Respectively representing the internal power supply, air supply and heat supply benefits of the shared energy storage structure; respectively representing electricity purchasing price and gas purchasing price to a main network; The unit price of selling electricity, gas and heat to the main network is shown respectively; And Respectively representing electric energy and natural gas purchased from a main network at the time t by a micro energy network agent k; the unit power price and the unit capacity price of the shared energy storage are respectively; representing the service life of the shared energy storage; Representing the periodic operation and maintenance cost of the shared energy storage; respectively represent the shared energy storage power and the shared energy storage capacity allocated by the micro energy network agent k, Respectively represents the electric energy, the natural gas and the heat energy sold to the main network by the micro energy network agent k at the time t, Represents the power consumption of the electric converting machine set during operation, Carbon dioxide coefficients are consumed for electrical conversion; representing the price of the carbon source when the electric converting unit operates; The actual output value of wind power is obtained; predicting a force value for wind power; the method comprises the steps of surfing the Internet for wind power; And the natural gas output and the gas consumption of the cogeneration unit of the electric gas converting unit are respectively shown.
4. The method for optimizing configuration of shared energy storage for a railway traction station shared energy storage structure according to claim 3, wherein the energy balance constraint of the energy mutual-aid operation benefit model of the shared energy storage structure is specifically: ; ; ; In the formula, Respectively representing the electric quantity, the air quantity and the heat generated by energy interaction between the micro energy network k and the micro energy network l at the moment t; Respectively represents the electric load, the gas load and the heat load of the micro energy network k at the time t, The method is a micro energy network agent set; respectively representing the gas production amount of the micro energy network k electric converting gas unit and the gas consumption amount of cogeneration at the time t; the heat input to the shared energy storage is combined with the micro energy network k heat and power at the moment t; the heat input to the shared energy storage is given to the micro energy network k electric gas converting unit at the moment t; and the heat released by the super capacitor device which is used for sharing and matching with the energy storage of the railway traction station to the micro energy network k at the time t is respectively shown.
5. The method for optimally configuring a shared energy storage structure for a rail traction station of claim 4, wherein the set of shared energy storage operating constraints comprises: sharing energy storage source constraints: ; Sharing the energy storage lumped constraint: ; ; ; a quantitative relation constraint between the actual storage/release power and rated capacity of the shared energy storage: ; In the formula, The shared energy storage and electric power is used for the micro energy network agent k at the moment t; respectively inputting electric energy sharing stored energy for the traction station system; Inputting electric energy which shares stored energy for a new energy generator set; the power limit and the rated capacity of the shared energy storage are respectively; the upper limit of the stored energy power and the upper limit of the discharge power of the shared energy storage are respectively used for the micro energy network agent k; the upper limit of the storage capacity allocated to the micro energy network agent k for sharing the energy storage; Is the storage/discharge coefficient.
6. The method of optimizing configuration of shared energy storage for a shared energy storage structure of a rail traction station of claim 5, wherein the set of shared energy storage operating constraints further comprises: sharing energy storage/release non-simultaneity constraints: ; ; sharing energy storage periodic storage/release balance constraint: ; ; In the formula, The value of the storage/release state variable of the micro energy network agent k at the time t is 0 or 1; The shared energy storage and discharge power is used for the micro energy network agent k at the time t; the capacity state of the shared energy storage at the time t; Is the loss factor of electrical energy; the initial capacity and the final capacity of the shared energy storage in a single period are respectively.
7. The method of optimizing configuration of shared energy storage for a shared energy storage structure of a rail traction station of claim 6, wherein the set of shared energy storage operating constraints further comprises: capacity constraints experienced when the micro energy network k uses shared energy storage: ; ; In the formula, The capacity of shared energy storage is used for the micro energy network agent k at the time t; respectively sharing energy storage efficiency and energy release efficiency.
8. The method for optimizing configuration of shared energy storage for a railway traction station-oriented shared energy storage structure according to claim 1, wherein the constraint conditions of the energy mutual-aid operation benefit model of the shared energy storage structure further comprise storage/release non-simultaneity constraint and periodic storage/release balance constraint of the super capacitor.
9. The shared energy storage optimizing configuration device for the shared energy storage structure of the railway traction station is characterized by comprising a memory and a processor, wherein the memory is stored with a computer processing program, and the processor is used for executing the computer processing program in the memory so as to realize the shared energy storage optimizing configuration method for the shared energy storage structure of the railway traction station according to any one of claims 1-8.

Description

Shared energy storage optimal configuration method and device for railway traction station shared energy storage structure Technical Field The invention relates to a shared energy storage optimal configuration method and device for a shared energy storage structure of a railway traction station, and belongs to the technical field of energy storage optimal configuration. Background With the dual pressures of global energy crisis and environmental protection, energy utilization efficiency and green development of railway traction systems are receiving widespread attention. Railway traction systems generate a significant amount of regenerative braking energy during operation, particularly during train braking. If not utilized, this energy will be dissipated in the form of thermal energy, resulting in energy waste. Therefore, the brake energy recovery technology becomes an important means for improving the energy efficiency of railway systems and realizing green development. However, the use of regenerative braking energy presents technical challenges. Because the regenerative braking power has the characteristics of single phase and strong impact, the power grid is generally processed in a mode of returning to be not counted and even returning to be counted, and the utilization rate of the regenerative braking energy is not high. In addition, the regenerative braking power is easy to raise the traction network voltage, braking failure can be caused during braking on a longer large downhill slope, and the safety risk of railway operation is increased. In order to solve the problems, the shared energy storage technology is developed, the shared energy storage is built uniformly in a centralized mode, so that the standard management of construction standards, equipment parameters and safety performance is facilitated, and the problems that new energy sources are distributed in the energy storage equipment, quality is uneven, technical performance is difficult to guarantee, and potential safety hazard risks are high are effectively reduced. The shared energy storage power station is more than hundred megawatts in scale and has the advantages of being beneficial to power grid dispatching management, efficient in dispatching operation, controllable in safety quality, remarkable in economic benefit and the like, and the configuration duration is not less than 2 hours. However, in the prior art, a resource discrete type comprehensive energy grid structure is mostly adopted, energy interaction is not considered among micro energy networks, only micro energy network groups are considered, and the comprehensive energy distribution network interacts with external energy sources, so that the defect of strong dependence on a main network exists. Disclosure of Invention The invention aims to overcome the defects in the prior art, provides a shared energy storage optimizing configuration method for a shared energy storage structure of a railway traction station, by establishing the shared electrochemical energy storage device in the multi-micro energy network group, mutual energy and optimal distribution are realized, and the problem that the existing micro energy networks do not perform energy interaction and have strong dependence on a main network is solved. In order to achieve the above purpose, the invention is realized by adopting the following technical scheme: The invention provides a shared energy storage optimal configuration method for a railway traction station shared energy storage structure, which comprises shared energy storage and a plurality of electric cold and hot micro energy networks, wherein the railway traction station is positioned in each micro energy network, each micro energy network is provided with an agent, and the shared energy storage and each micro energy network are respectively connected to a power grid. The shared energy storage optimizing configuration method comprises the steps of establishing a shared energy storage operation benefit model with the periodic benefit of the maximized shared energy storage as a target, establishing a micro energy network agent operation benefit model with the periodic operation cost of the minimized micro energy network as a target, establishing a shared energy storage structure energy mutual operation benefit model with the periodic operation total cost of all micro energy network agents as a target based on the micro energy network agent operation benefit model, setting the target function of the shared energy storage structure energy mutual operation benefit model as the sum of the micro energy network agent operation benefit target functions, setting constraint conditions of the shared energy storage structure energy mutual operation benefit model, including energy balance constraint and shared energy storage operation constraint set, and combining the shared energy storage structure energy mutual operation benefit model and the shared energy storage op