CN-121981309-A - Wind-solar-hydrogen-ammonia-alcohol integrated collaborative optimization planning method, system, equipment and medium

CN121981309ACN 121981309 ACN121981309 ACN 121981309ACN-121981309-A

Abstract

The invention relates to the technical field of comprehensive energy system planning and operation, and discloses a wind, light, hydrogen, ammonia and alcohol integrated collaborative optimization planning method, a system, equipment and a medium. The method comprises the steps of constructing an integrated structure comprising wind-solar power generation, electrolytic hydrogen production, air separation nitrogen production, ammonia synthesis, methanol synthesis, carbon capture and hydrogen storage units, constructing an electric-hydrogen-nitrogen-carbon-ammonia-alcohol multi-energy flow network topology structure, constructing a capacity planning layer-operation simulation layer double-layer optimization model with the total cost of the whole life cycle of the system as a target, dynamically introducing carbon emission cost at an operation layer, solving the model by adopting an improved multi-target genetic algorithm, and outputting the optimal planning capacity and hour-level operation plan of each unit. The method realizes the multi-energy flow coordination, span optimization and economy-low carbon coordination of the wind-light-hydrogen-ammonia-alcohol system under multiple uncertainties, and improves the flexibility, economy and low carbon of the system.

Inventors

HU JINGWEI
HU JINJING
HAN ZIJIAO
WANG YANG
ZHANG YANNI
LI YONGRUI
TONG YONGJI
BAI JIANSHI
Lu Sichen
GAO JIAWEN

Assignees

国网辽宁省电力有限公司

Dates

Publication Date: 20260505
Application Date: 20251205

Claims (10)

1. A wind-solar-hydro-ammonia-alcohol integrated collaborative optimization planning method is characterized by comprising the following steps of, Determining a system core unit and constructing a wind, light, hydrogen and ammonia alcohol integrated system structure; based on the wind-light-hydrogen-ammonia-alcohol integrated system structure, analyzing the energy and material flow relation among units, and constructing a multi-energy flow network topology structure; Based on a multi-energy flow network topological structure, constructing a collaborative optimization planning model by taking the total cost of the whole life cycle of the system as an optimization target; obtaining conversion rate and operation constraint conditions of energy flow and material flow in the model through collaborative optimization planning model; solving a collaborative optimization planning model by adopting an improved multi-objective genetic algorithm; and outputting the optimal planning capacity and the operation plan according to the solving result.
2. The method for collaborative optimization planning of wind, light, hydrogen and ammonia alcohol integration according to claim 1, wherein the determining system core unit constructs a wind, light, hydrogen and ammonia alcohol integration system structure comprising, Analyzing each unit of the system, determining a core unit of the system, and combining and constructing a wind, light, hydrogen and ammonia alcohol integrated system structure.
3. The method for collaborative optimization planning of wind, light, hydrogen and ammonia alcohol integration according to claim 2, wherein the wind, light, hydrogen and ammonia alcohol integration system structure is based, the energy and material flow relationship among the units is analyzed, a multi-energy flow network topology structure is constructed, comprising, Analyzing the relation between energy and material flow among units, and constructing an electric-hydrogen-nitrogen-carbon-ammonia-alcohol multi-energy flow network topology structure; and taking hydrogen as a core medium, flexibly adjusting a junction, coupling nitrogen and carbon dioxide, and finally producing the ammonia and methanol multi-energy flow network.
4. The method for integrally optimizing planning of wind, light, hydrogen and ammonia alcohol according to claim 3, wherein said constructing a collaborative optimization planning model based on a multi-energy flow network topology and with the total cost of the whole life cycle of the system as an optimization target comprises, And constructing a capacity planning layer-operation simulation layer double-layer optimization framework by taking the total cost of the whole life cycle of the system as an optimization target, and constructing a multi-time scale collaborative optimization planning model.
5. The method for integrated collaborative optimization planning of wind, solar, hydro-ammonia and alcohol according to claim 4, wherein the conversion rate and the operation constraint condition of the energy flow and the material flow in the model are obtained by collaborative optimization planning model, comprising, Converting each unit in the model from an independent unit into a deeply coupled and cooperated organic whole by establishing mathematical constraint conditions; The wind-light power generation unit output constraint is used for carrying out coordinated coupling on uncontrollable new energy resources and the system controllable units, and the wind-light reality and the output of each key device are required Not exceeding the maximum theoretical force value: Wherein, the And Upper and lower limits for equipment output; the electric power balance constraint is an energy scheduling core of the whole system, and the electric power is dynamically and cooperatively distributed among power generation, conversion and storage, and the formula is as follows: Wherein, the For the output power of a wind farm, For the output power of the photovoltaic power plant, In order to purchase electrical energy from the electrical grid, The hydrogen and the electricity are produced for the electrolytic tank, Is the power consumption of the air separation nitrogen making device, Is the chemical synthesis ammonia, which is prepared by the chemical industry, Is the power consumption of the methanol, Power is consumed for the carbon capture unit; the mass flow balance constraint coordinates the hydrogen, nitrogen, carbon, ammonia, alcohol multi-mass flows as follows: Wherein, the As the value of the hydrogen production amount, Is the hydrogen value used for chemical synthesis in the hydrogen storage tank, For the hydrogen value used for the synthesis of ammonia, For the hydrogen value used for the synthesis of methanol, To store and store the hydrogen value in the hydrogen tank, The nitrogen value produced by the air separation nitrogen making equipment, To the nitrogen value consumed for the synthesis of the ammonia unit, For the carbon dioxide value captured by the carbon capture unit, For the value of carbon dioxide purchased from outside, For the carbon dioxide value used in the synthesis of the methanol unit, For the value of liquid ammonia produced by the synthesis ammonia unit, In order to sell the liquid ammonia value to the outside, For the amount of liquid ammonia stored in the liquid ammonia tank, To store the amount of liquid ammonia consumed in the liquid ammonia tank, In order to synthesize the amount of methanol produced by the methanol unit, In order to sell the amount of methanol to the outside, For the amount of methanol stored in the methanol tank, Is the amount of methanol in the methanol tank that is consumed.
6. The method for integrally optimizing and planning wind, light, hydrogen and ammonia alcohol according to claim 5, wherein said adopting improved multi-objective genetic algorithm solves the collaborative optimization planning model, comprising, Preprocessing a collaborative optimization planning model, converting the collaborative optimization planning model into a standard optimization problem form, and converting a mathematical model containing nonlinear constraint and mixed variables into a mixed integer linear planning problem; Aiming at the high-dimensionality, nonlinearity and mixed integer characteristics of the wind-light-hydrogen-ammonia-alcohol integrated collaborative optimization planning model, an improved multi-objective genetic algorithm is adopted as a core solving strategy.
7. The method for integrally collaborative optimizing planning for wind, light, hydrogen and ammonia alcohol of claim 6, wherein the outputting optimal planning capacity and operation plan according to the result of solving comprises, After the solution is completed, the optimal configuration capacity of each unit and the total cost of the whole life cycle of the system are formed to be used as core output results, and the economy and low carbon performance of different configuration schemes are compared through simulation verification.
8. A wind-light-hydrogen-ammonia-alcohol integrated collaborative optimization planning system, and a method for applying the wind-light-hydrogen-ammonia-alcohol integrated collaborative optimization planning according to any one of claims 1-7, comprising the following steps: The integrated structure construction module is used for determining a system core unit, constructing a wind-light-hydrogen-ammonia-alcohol integrated system structure and defining functions and connection relations among the units; the multipotent flow network topology construction module is used for analyzing the energy and substance flow relation among electricity, hydrogen, nitrogen, carbon, ammonia and alcohol based on an integrated structure, constructing an electricity-hydrogen-nitrogen-carbon-ammonia-alcohol multipotent flow network topology structure and taking hydrogen as a core regulation medium; the collaborative optimization planning model construction module is used for establishing a double-layer optimization model with the lowest total cost of the whole life cycle as an optimization target based on a multi-energy flow network topological structure, and covering two time scales of capacity planning and operation simulation; The conversion rate and constraint extraction module is used for extracting the conversion rate and the operation constraint condition of the energy flow and the material flow from the collaborative optimization planning model; the multi-objective optimization solving module adopts an improved multi-objective genetic algorithm to solve the collaborative optimization planning model, converts the model into a mixed integer linear programming problem and processes high-dimensionality, nonlinearity and mixed integer characteristics; And the optimal planning output module is used for outputting the optimal configuration capacity and the system operation plan of each unit according to the solving result, carrying out simulation verification on the output optimal planning scheme and comparing the system performances of different configuration schemes.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of a wind-solar-hydro-amino alcohol integrated collaborative optimization planning method according to any one of claims 1 to 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 steps of a wind-solar hydro-amino alcohol integration collaborative optimization planning method according to any of claims 1-7.

Description

Wind-solar-hydrogen-ammonia-alcohol integrated collaborative optimization planning method, system, equipment and medium Technical Field The invention relates to the technical field of comprehensive energy system planning and operation, in particular to a wind, light, hydrogen, ammonia and alcohol integrated collaborative optimization planning method, a system, equipment and a medium. Background Along with the continuous acceleration of global energy transformation and industrial decarburization processes, the renewable energy source with fluctuation represented by wind power and photovoltaic is accessed in a large scale, and meanwhile, hydrogen energy, ammonia, methanol and the like are taken as important green energy carriers and chemical raw materials, so that the co-production and efficient utilization of the renewable energy source become the key for constructing a novel energy system. In this context, a multi-energy flow coupling system incorporating "electro-hydro-nitrogen-carbon-amino-alcohols" has been developed, whose planning and operation face high-dimensional, multi-time-scale, strong uncertainty challenges. The current planning method for the wind-solar hydrogen production, ammonia production and other systems mainly has the following problems that the prior art system is insufficient in coupling degree and is limited in single conversion paths such as electricity-hydrogen or electricity-ammonia, various energy carriers such as hydrogen, ammonia and alcohol cannot be deeply integrated with a carbon capture unit, a complete multi-energy flow cooperative network is difficult to construct, the flexibility and resource utilization rate of the system are limited, secondly, the planning and operation are seriously disjointed, the traditional planning method is mainly based on static or typical daily scenes, the full-time fluctuation characteristics of wind-solar output, electricity price and market demand cannot be fully considered, the expected economical efficiency and reliability cannot be achieved in actual operation, and finally, on the optimization target, the prior method is always optimal in one-sided pursue of economical efficiency, a mechanism for dynamically embedding carbon emission cost into an operation layer is lacked, and the effective synergy of economical efficiency and low carbon property is difficult to achieve under the double-carbon target. Therefore, in the prior art, it is difficult to comprehensively consider the economical efficiency, low carbon and operational reliability of the system under complex and changeable operation environments, and an integrated planning method capable of realizing cross-energy carrier, cross-time scale and multi-objective coordination is needed. Disclosure of Invention In view of the existing problems, the invention provides a wind-solar-hydro-ammoniol integrated collaborative optimization planning method, a system, equipment and a medium. Therefore, the invention solves the technical problems of how to realize multi-objective collaborative optimization of system economy, low carbon and operation reliability by constructing an electric-hydrogen-nitrogen-carbon-ammonia-alcohol multi-energy flow deep coupling and planning-operation integrated model and dynamically embedding carbon emission cost under the condition of multiple uncertainties such as wind-light output, electricity price, market demand and the like. In order to solve the technical problems, the invention provides a wind-solar-hydro-amino alcohol integrated collaborative optimization planning method which comprises the following steps of, Determining a system core unit and constructing a wind, light, hydrogen and ammonia alcohol integrated system structure; based on the wind-light-hydrogen-ammonia-alcohol integrated system structure, analyzing the energy and material flow relation among units, and constructing a multi-energy flow network topology structure; Based on a multi-energy flow network topological structure, constructing a collaborative optimization planning model by taking the total cost of the whole life cycle of the system as an optimization target; obtaining conversion rate and operation constraint conditions of energy flow and material flow in the model through collaborative optimization planning model; solving a collaborative optimization planning model by adopting an improved multi-objective genetic algorithm; and outputting the optimal planning capacity and the operation plan according to the solving result. As a preferable scheme of the wind, light, hydrogen and ammonia alcohol integrated collaborative optimization planning method, the invention comprises the steps of determining a system core unit, constructing a wind, light, hydrogen and ammonia alcohol integrated system structure, comprising, Analyzing each unit of the system, determining a core unit of the system, and combining and constructing a wind, light, hydrogen and ammonia alcohol integrated system structure.