Multi-objective Optimization Model of Gas Station Renovation and Expansion Based on Genetic Algorithm

The construction of hydrogen refueling stations is faced with multiple problems such as land approval and high investment. The main way to develop hydrogen refueling stations in the future is to use gas stations as the transitional construction of oil and hydrogen co-construction stations. The renovation and expansion of gas stations involve many factors, so this paper establishes a multi-objective optimization model, considering the three aspects of economy, environment and society: aiming at the minimum investment cost, considering the economic benefits of the whole system, ensuring long-term profits to ensure the effective development of the system; In order to achieve the"double carbon target", the total carbon emission must be strictly controlled, and the total carbon emission of the system must be minimized. Create the most job opportunities for the public. The data of gas station in Qingpu District of Shanghai was simulated and solved by genetic algorithm, which provided scientific and reasonable reference for local government decision-making and verified the effectiveness of the model.