基于遗传算法的区域供冷管网优化研究

Optimization of Regional Cooling pipe Network Based on Genetic Algorithm

为降低区域供冷管网投资成本,使系统效益最大化,文中以管网年度费用最小为优化目标,建立了区域供冷管网数学模型和约束条件,优化目标考虑了初投资、运行费用以及管网维护等经济指标.以横琴某供冷管网为例,采用遗传算法,将变异概率设置为0.01、0.1、0.2,得出管网最优设计方案.计算结果表明,遗传算法设置变异概率为0.2时,虽然收敛的速度较慢,但在解的质量上优于其他的变异概率,验证了所建立的优化模型是高效可行的.

In order to reduce the investment cost of the district cooling pipe network and maximize the benefits of the system,with the minimum annual cost of the pipe network as the optimization objective,the mathematical model and constraint conditions of the district cooling pipe network are established.The optimization objective takes into account the initial investment,operating costs and management Economic indicators such as network maintenance.Taking a cooling pipe network in Hengqin as an example,using genetic algorithm,the mutation probability is set to 0.01,0.1,0.2,and the optimal design plan of the pipe network is obtained.The calculation results show that when the genetic algorithm sets the mutation probability to 0.2,although the convergence speed is slow,it is better than other mutation probabilities in the quality of the solution,which verifies that the established optimization model is efficient and feasible.