CN-122026511-A - New energy electricity hydrogen production system optimal scheduling method, device, equipment and medium

CN122026511ACN 122026511 ACN122026511 ACN 122026511ACN-122026511-A

Abstract

The application discloses a new energy electro-hydrogen production system optimizing and dispatching method, a device, equipment and a medium, relates to the field of hydrogen production system optimization. The method comprises the steps of establishing an electrolyzer efficiency-power characteristic model in consideration of voltage efficiency and Faraday efficiency, establishing an electrolyzer state conversion model in consideration of the working state, the stopping state and the standby state of an electrolyzer, constructing an objective function by taking the minimum running cost of a new energy electro-hydrogen production system as a target, determining constraint conditions based on the electrolyzer efficiency-power characteristic model and the electrolyzer state conversion model, constructing a system optimization scheduling model, solving the system optimization scheduling model to obtain an optimal scheduling result of a current scheduling period, wherein the optimal scheduling result at least comprises the electrolyzer running power and the electrolyzer starting and stopping state corresponding to the minimum running cost. The application realizes the efficient scheduling of the electric energy resources in the new energy electro-hydrogen production system.

Inventors

LIU ZIFA
CHEN YUHAN
GUO QIANG
YAO YUSEN
LV XIAOJUN

Assignees

华北电力大学

Dates

Publication Date: 20260512
Application Date: 20260108

Claims (10)

1. The new energy electricity hydrogen production system optimizing and scheduling method is characterized by comprising the following steps of: The method comprises the steps of acquiring input data of a new energy electric hydrogen production system in a current dispatching cycle, wherein the input data at least comprise the installed capacity of a new energy station, meteorological data, the total capacity of energy storage equipment, the total capacity of an electrolytic tank, the rated capacity of the electrolytic tank and the total capacity of hydrogen storage equipment; establishing an electrolyzer efficiency-power characteristic model in consideration of voltage efficiency and Faraday efficiency, wherein the electrolyzer efficiency-power characteristic model represents the relation between the operating efficiency and the operating power of the electrolyzer; The method comprises the steps of considering the working state, the stopping state and the standby state of an electrolytic cell, and establishing an electrolytic cell state conversion model, wherein the electrolytic cell state conversion model comprises an electrolytic cell standby state constraint and an electrolytic cell power upper limit constraint and an electrolytic cell power lower limit constraint; Constructing an objective function by taking the minimum running cost of a new energy electric hydrogen production system as a target, and determining constraint conditions based on the electrolyzer efficiency-power characteristic model and the electrolyzer state transition model to construct a system optimization scheduling model, wherein the constraint conditions comprise system power balance constraint, new energy output constraint, alternating current power grid constraint, energy storage equipment constraint, electrolyzer running constraint and hydrogen storage equipment constraint; And inputting the input data into the system optimization scheduling model to solve to obtain an optimal scheduling result of the current scheduling period, wherein the optimal scheduling result at least comprises the operating power of the electrolytic cell and the start-stop state of the electrolytic cell corresponding to the minimum operating cost.
2. The new energy hydrogen production system optimizing scheduling method according to claim 1, wherein the method is characterized by establishing an electrolyzer efficiency-power characteristic model in consideration of voltage efficiency and faraday efficiency, and specifically comprises the following steps: determining a relation of the operation efficiency of the electrolytic cell according to the consideration of the voltage efficiency and the Faraday efficiency; determining a relation of per unit value of the operating power of the electrolytic cell according to the operating power of the electrolytic cell and the rated power of the electrolytic cell; Determining a relation between the operation efficiency of the electrolytic cell and the per unit value of the operation power of the electrolytic cell according to the expression of the operation efficiency of the electrolytic cell and the expression of the per unit value of the operation power of the electrolytic cell; and simulating the output characteristic of the electrolytic tank, and fitting a relation between the operation efficiency and the per unit value of the operation power of the electrolytic tank by adopting a polynomial fitting method to obtain an electrolytic tank efficiency-power characteristic model.
3. The optimal scheduling method for the new energy hydrogen production system according to claim 2, wherein the relation between the operating efficiency of the electrolytic cell and the per unit value of the operating power is: ; Wherein, the Indicating the operating efficiency of the electrolytic cell; Representing faraday efficiency; Representing the cell thermal neutral voltage; Representing the cell current; Indicating the number of cells of the electrolytic cell; Indicating the rated power of the electrolytic cell; Representing the per unit value of the operating power of the electrolyzer.
4. The new energy hydrogen production system optimization scheduling method according to claim 2, wherein the expression of the electrolyzer efficiency-power characteristic model is: ; Wherein, the Indicating the operating efficiency of the electrolytic cell; Representing the per unit value of the operating power of the electrolyzer.
5. The optimal scheduling method for the new energy hydrogen production system according to claim 1, wherein the standby state constraint of the electrolytic cell comprises an operation state constraint, a standby state switching constraint and a standby state time constraint; The operating state constraints are: ; Wherein, the Indicating whether the electrolytic tank is in a working state or not in the t scheduling period; indicating whether the electrolytic cell is in a standby state or not in the t scheduling period; Indicating whether the electrolytic tank is in a shutdown state or not in the t scheduling period; the standby state switching constraint is: ; ; ; Wherein, the Indicating whether the electrolytic tank is in a shutdown state or not in the t-2 scheduling period; indicating whether the electrolytic tank is in a shutdown state or not in the t-1 scheduling period; Indicating whether the electrolytic tank is in a working state or not in the t-1 scheduling period; Indicating whether the electrolytic cell is in a standby state or not in the t-1 scheduling period; the starting variable of the electrolytic tank in the t scheduling period is represented; Representing the shutdown variable of the electrolytic cell in the t scheduling period; the standby state time constraint is: ; Wherein, the Representing the longest standby time of each hydrogen generating unit of the system; Represent the first Whether the electrolytic cell is in a standby state or not in a scheduling period; the cell power upper and lower limit constraints include: ; Wherein, the The fixed standby power which is required to be consumed by the unit is represented; representing the lower limit value of the running power of the electrolytic tank; Representing the operating power of the electrolytic tank in the t scheduling period; indicating the upper limit value of the operating power of the electrolytic cell.
6. The new energy hydrogen production system optimization scheduling method of claim 1, wherein the expression of the objective function is: ; Wherein, the Representing the profit of the wind-electricity photovoltaic hydrogen production and ammonia synthesis system in the t scheduling period; representing the ammonia sales income of the system; Representing the system internet surfing benefits; Representing the start-stop cost of all electrolytic cells of the system; Representing the hydrogen storage cost of the system; Representing the system electricity energy storage cost; Representing the system off-line costs.
7. The optimal scheduling method of the new energy hydrogen production system according to claim 1, wherein the system power balance constraint is determined according to new energy output, energy storage device discharge capacity and storage capacity, on-line and off-line electric capacity, ammonia production power consumption, electrolyzer operation power and total power consumption of a set in a standby state; the new energy output constraint comprises a photovoltaic output constraint and an wind power output constraint; the AC power grid constraint comprises total power on-grid constraint, total power off-grid constraint, upper grid state constraint and lower grid state constraint; The energy storage device constraints include an energy storage state constraint and an energy storage device state of charge constraint; the operation constraint of the electrolytic cell comprises the constraint of the standby state of the electrolytic cell, the constraint of the upper limit and the lower limit of the power of the electrolytic cell, the constraint of the power of the electrolytic cell in the working state and the constraint of the power climbing of the electrolytic cell array, wherein the power constraint of the electrolytic cell in the working state is determined according to the efficiency-power characteristic model of the electrolytic cell; the hydrogen storage device constraint comprises a hydrogen storage state constraint, a hydrogen storage device charge state constraint, a hydrogen balance constraint and a hydrogen production power constraint.
8. The utility model provides a new energy electricity hydrogen production system optimizes dispatch device which characterized in that, new energy electricity hydrogen production system optimizes dispatch device includes: the system comprises a data acquisition module, a data storage module and a hydrogen storage module, wherein the data acquisition module is used for acquiring input data of a new energy electric hydrogen production system in a current dispatching cycle, and the input data at least comprises the installed capacity of a new energy station, meteorological data, the total capacity of energy storage equipment, the total capacity of an electrolytic tank, the rated capacity of the electrolytic tank and the total capacity of hydrogen storage equipment; the system comprises an electrolyzer efficiency-power characteristic model construction module, a power generation module and a power generation module, wherein the electrolyzer efficiency-power characteristic model construction module is used for constructing an electrolyzer efficiency-power characteristic model in consideration of voltage efficiency and Faraday efficiency; The system comprises an electrolytic cell state conversion model construction module, an electrolytic cell state conversion model generation module and an electrolytic cell power control module, wherein the electrolytic cell state conversion model construction module is used for constructing an electrolytic cell state conversion model by considering the working state, the stopping state and the standby state of an electrolytic cell; The system optimization scheduling model construction module is used for constructing an objective function by taking the minimum running cost of the new energy electric hydrogen production system as a target, and determining constraint conditions based on the electrolyzer efficiency-power characteristic model and the electrolyzer state transition model to construct a system optimization scheduling model, wherein the constraint conditions comprise system power balance constraint, new energy output constraint, alternating current power grid constraint, energy storage equipment constraint, electrolyzer running constraint and hydrogen storage equipment constraint; The optimal scheduling module is used for inputting the input data into the system optimal scheduling model to solve so as to obtain an optimal scheduling result of the current scheduling period, wherein the optimal scheduling result at least comprises the operating power of the electrolytic cell and the start-stop state of the electrolytic cell corresponding to the minimum operating cost.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and capable of running on the processor, characterized in that the processor executes the computer program to implement the new energy electro-hydrogen production system optimized scheduling method of any one of claims 1-7.
10. A computer readable storage medium having stored thereon a computer program, characterized in that the computer program, when executed by a processor, implements the new energy electro-hydrogen production system optimization scheduling method of any one of claims 1-7.

Description

New energy electricity hydrogen production system optimal scheduling method, device, equipment and medium Technical Field The application relates to the field of hydrogen production system optimization, in particular to a new energy electro-hydrogen production system optimal scheduling method, a device, equipment and a medium. Background Renewable energy sources such as wind power, photovoltaic and the like are mainly consumed in a direct grid connection mode at present, but the inherent randomness and fluctuation of the renewable energy sources cause larger impact on a power grid. In order to ensure safe and stable operation of the power grid, the system always needs to actively limit new energy power generation, so that large-scale wind and light discarding phenomena are caused, and resource waste is caused. Under the background, the large-scale new energy electric hydrogen production system is used as a high-efficiency and low-carbon energy conversion and utilization mode, on one hand, the advantage of rapid power regulation of hydrogen production equipment is utilized, the fluctuation characteristics of wind power and photovoltaic output are flexibly adapted, the on-site consumption of new energy is promoted, the direct interaction between a new energy station and a power grid is reduced, the efficient path for the efficient consumption of the new energy is improved, on the other hand, hydrogen plays an increasingly important role in the fields of chemical industry, traffic and the like, and the new energy electrolyzed water hydrogen production is used as a main mode for supplying the future hydrogen energy, so that the hydrogen production system has important strategic significance in the realization of promoting the structural transformation of the energy. With the continuous maturity of the electric hydrogen production technology, a plurality of large-scale new energy hydrogen production projects are successively landed in recent years. The dispatching of the large-scale new energy electric hydrogen production system relates to new energy stations, power grids, energy storage, hydrogen storage, multiple electrolytic tanks, downstream chemical markets and the like, and is a complex high-dimensional model. In the current research, a system-related scheduling model is rough, an electrolytic tank is used as system core equipment, the operation efficiency and the hydrogen production speed have complex nonlinear relation, and the electrolytic tank comprises a plurality of operation states such as shutdown, cold start, hot start and the like. In the current optimized operation model, the efficiency characteristic of the electrolytic cell and the start-stop process are often not considered enough, and the use constant of the electro-hydrogen conversion efficiency and only the cold start process are considered as the main stream method of the current optimized operation model. The new energy electric hydrogen production system has poor dynamic regulation capability and low efficiency under the fluctuation working condition, and becomes one of key factors for limiting economy and efficiency. Disclosure of Invention The application aims to provide a new energy electro-hydrogen production system optimal scheduling method, a new energy electro-hydrogen production system optimal scheduling device, new energy electro-hydrogen production system optimal scheduling equipment and a new energy electro-hydrogen production system optimal scheduling medium. In order to achieve the above object, the present application provides the following solutions: in a first aspect, the application provides a new energy hydrogen production system optimization scheduling method, which comprises the following steps: The method comprises the steps of acquiring input data of a new energy electric hydrogen production system in a current dispatching cycle, wherein the input data at least comprise the installed capacity of a new energy station, meteorological data, the total capacity of energy storage equipment, the total capacity of an electrolytic tank, the rated capacity of the electrolytic tank and the total capacity of hydrogen storage equipment; establishing an electrolyzer efficiency-power characteristic model in consideration of voltage efficiency and Faraday efficiency, wherein the electrolyzer efficiency-power characteristic model represents the relation between the operating efficiency and the operating power of the electrolyzer; The method comprises the steps of considering the working state, the stopping state and the standby state of an electrolytic cell, and establishing an electrolytic cell state conversion model, wherein the electrolytic cell state conversion model comprises an electrolytic cell standby state constraint and an electrolytic cell power upper limit constraint and an electrolytic cell power lower limit constraint; Constructing an objective function by taking the minimum running cost of a new energy electric hydro