电力建设2024，Vol.45Issue(12)：112-123,12.DOI:10.12204/j.issn.1000-7229.2024.12.009
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
摘要
Abstract
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Key words
air source heat pump/power-to-gas/wind-PV power accommodation/tiered carbon trading/improved multi-verse optimization(MVO)algorithm分类
信息技术与安全科学引用本文复制引用
杨海柱,白亚楠,李忠文,程志平,刘森,崔世超..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[J].电力建设,2024,45(12):112-123,12.基金项目
This work is supported by National Natural Science Foundation of China(No.62273312). 国家自然科学基金面上项目(62273312) （No.62273312）
