基于改进MVO算法的电热气耦合综合能源系统低碳优化调度  

Low-Carbon Optimal Dispatching of Electric-Heat-Gas Coupled Integrated Energy System Based on Improved MVO Algorithm

作　　者：杨海柱[1] 白亚楠 李忠文 程志平[2] 刘森 崔世超 YANG Haizhu;BAI Yanan;LI Zhongwen;CHENG Zhiping;LIU Sen;CUI Shichao(School of Electrical Engineering and Automation,Henan Polytechnic University,Jiaozuo 454000,Henan Province,China;School of Electrical and Information Engineering,Zhengzhou University,Zhengzhou 450001,China)

机构地区：[1]河南理工大学电气工程与自动化学院,河南省焦作市454000 [2]郑州大学电气与信息工程学院,郑州市450001

出　　处：《电力建设》2024年第12期112-123,共12页Electric Power Construction

基　　金：国家自然科学基金面上项目(62273312)。

摘　　要：为进一步降低综合能源系统(integrated energy system,IES)的碳排放和提高新能源消纳率,提出了一种含阶梯式碳交易的电热气耦合综合能源系统优化调度策略。首先,建立了热电联供机组、空气源热泵和电转气的电热气耦合调度框架,建立了因空气源热泵变工况引起的调度偏差模型,并引入考虑余热回收的电转气以实现能源互补协同;其次,引入阶梯式碳交易机制以约束系统碳排放,以经济性作为优化目标;最后,通过改进旅行距离率和虫洞存在概率、结合差分变异策略、引入压缩因子三方面对多元宇宙优化(multi-verse optimization,MVO)算法进行改进,克服了常规多元宇宙优化算法在求解所提模型时易陷入局部最优解的问题。通过改进的算法对模型进行求解,结果表明,改进后的多元宇宙优化算法具有更好的收敛性与稳定性,优化后总成本比原始多元宇宙优化算法、粒子群算法、遗传算法分别降低了8.13%、12.90%和9.07%,实现了综合能源系统的经济运行。To further reduce carbon emissions from integrated energy systems and improve the energy consumption rate,this study proposes an optimal dispatching strategy for electric-,heat-,and gas-coupled integrated energy systems,including stepped carbon trading.First,an electric-heat-gas coupling dispatching framework was established for combined heat and power units,air source heat pumps,and power-to-gas.A scheduling deviation model was established by adjusting the operating conditions of the air source heat pump.Power-to-gas with waste-heat recovery was introduced to achieve energy complementation and synergy.Second,a stepped carbon trading mechanism was introduced to constrain system carbon emissions,with the economy as the optimization goal.Finally,the multiverse algorithm was improved by adjusting the travel distance rate and wormhole existence probability parameters,incorporating a differential mutation strategy,and introducing a compression factor to address the tendency of the conventional multiverse algorithm to fall into the local optimal solution when solving the proposed model.The improved algorithm was used to solve the model,and the results showed that the improved multiverse algorithm had better convergence and stability.The total cost after optimization was 8.13%,12.9%,and 9.07%lower than those of the original multiverse algorithm,particle swarm optimization,and genetic algorithm,respectively,facilitating the economic operation of the integrated energy system.

关 键 词：空气源热泵 电转气 风光消纳 阶梯式碳交易 改进多元宇宙优化(MVO)算法 

分 类 号：TM732[电气工程—电力系统及自动化]