综合智慧能源2025，Vol.47Issue(10)：34-44,11.DOI:10.3969/j.issn.2097-0706.2025.10.004
基于NSGA-Ⅱ的含氢多能源系统经济与低碳协同优化调度
Economic and low-carbon coordinated optimization scheduling of hydrogen-integrated multi-energy system based on NSGA-Ⅱ
摘要
Abstract
To address the operational safety issues of hydrogen production equipment in electricity-heat-hydrogen multi-carrier energy systems(MES)and the challenge of balancing economic efficiency with low-carbon operation in scheduling,an optimized scheduling strategy was proposed,integrating the nonlinear dynamic model of the electrolyzer with the non-dominated sorting genetic algorithm-Ⅱ(NSGA-Ⅱ)for multi-objective optimization of the MES.To ensure that the hydrogen production process operates within a safe temperature range,a dynamic model of alkaline electrolyzer was developed,considering the nonlinear effect of stack temperature on electrolysis efficiency.To make use of the strong coupling relationships among various energy resources and the dispatchability of loads in the MES,an integrated demand response mechanism and carbon trading mechanism were introduced to improve the system's economic efficiency and low-carbon operational performance.By integrating the complex nonlinear model of the electrolyzer,a multi-objective optimization algorithm based on NSGA-Ⅱ was proposed,and the optimal solution was comprehensively evaluated using the technique for order preference by similarity to ideal solution to achieve the optimization scheduling of the MES.Through simulation experiments under different scenarios,the daily total operating costs and carbon emissions of MES were compared and analyzed.The results showed that the multi-objective optimization method combined with NSGA-Ⅱ could significantly reduce the daily total operating costs and carbon emissions of the system.Compared with optimizing the system's economic costs alone,the daily total costs and carbon emissions of the system were reduced by 33.5%and 57.7%,respectively.This validated the effectiveness of the proposed strategy in improving the economic efficiency and low-carbon operation of the electricity-heat-hydrogen MES.关键词
碳减排/碳交易机制/氢能/综合需求响应/多能源系统/多目标优化/非支配排序遗传算法ⅡKey words
carbon emission reduction/carbon trading mechanism/hydrogen energy/integrated demand response/multi-energy systems/multi-objective optimization/non-dominated sorting genetic algorithm Ⅱ分类
能源科技引用本文复制引用
邱文婷,董家乐,吴笛,苏文静,宗毅..基于NSGA-Ⅱ的含氢多能源系统经济与低碳协同优化调度[J].综合智慧能源,2025,47(10):34-44,11.基金项目
武汉工程大学研究生教育创新基金项目(CX2023575) Graduate Innovative Fund of Wuhan Institute of Technology(CX2023575) （CX2023575）
