基于随机机会约束规划的内燃机车减排技术评价优化模型研究

Study on Evaluation Optimization Model of Diesel Locomotive Emission Reduction Technology Based on Stochastic Chance-constrained Programming

利用不确定规划理论,提出基于随机机会约束规划的机车减排技术决策评价优化模型及其算法。模型的目标函数为期望运营成本最小,决策变量为减排技术种类及减排效率,约束条件为排放污染物致癌风险及对健康影响情况不超过一定概率等。将随机模拟和智能算法相结合,设计求解模型的双层混合智能算法,并利用此算法对算例进行求解,说明模型和算法的可行性和有效性。

Utilizing the theory of uncertain programming,the evaluation optimization model of locomotive emission reduction technology based on stochastic chance-constrained programming and its solving algorithm were put forward.The objective function of the model is to minimize the expected operation costs,the decision variables are emission reduction technology selection and their reduction efficiency,and the constraints include emission pollutants cancer and non-cancer health risks which are not to exceed certain probability etc.Combined with random simulation,the bilevel hybrid intelligent algorithm was designed for the proposed model.Finally,a simulation case was presented to illustrate feasibility and effectiveness of the model and algorithm.