热力发电2025，Vol.54Issue(1)：35-45,11.DOI:10.19666/j.rlfd.202406123
基于MOPSO算法的风光氢燃气轮机互补系统优化研究
Optimization of wind-solar-hydrogen gas turbine complementary system configuration based on MOPSO algorithm
摘要
Abstract
To meet the urgent need for enhanced grid regulation capabilities due to the high penetration of renewable energy and to resolve load-source imbalances,the optimization configuration method for a wind-solar-hydrogen gas turbine complementary system is investigated.The data-driven model for a gas turbine combined cycle unit that considering start-stop dynamics and hydrogen-blending combustion is developed,along with theoretical models for photovoltaic arrays,wind turbines,and electrolyzers.An energy distribution strategy for the system is proposed,and the system capacity configuration optimization model based on MOPSO algorithm is established.With the objectives of minimizing the levelized cost of electricity,load-source deviation and annual carbon emissions,the capacity configuration of the complementary system is optimized.The results demonstrate that,using selected meteorological and load data,the system equipped with 85.28 MW wind turbines,108.69 MW photovoltaic arrays,78.02 MW electrolyzers,and a 139 302 m3 hydrogen storage tank can achieve up to a 6%reduction in annual carbon emissions and a load-source deviation of only 0.02%.This validates that the system architecture integrating electrolyzer-gas turbine can effectively mitigate load-source deviation issues in power grid.关键词
燃气轮机联合循环/氢燃气轮机/氢电转化/可再生能源消纳/多目标粒子群优化Key words
gas turbine combined cycle/hydrogen gas turbine/power-to-hydrogen conversion/renewable energy consumption/multi-objective particle swarm optimization引用本文复制引用
王亚平,王雨田,李永毅,王子晗,张磊..基于MOPSO算法的风光氢燃气轮机互补系统优化研究[J].热力发电,2025,54(1):35-45,11.基金项目
国家重点研发计划青年科学家项目(2023YFB4102600) National Key Research and Development Program of China for Young Scientists(2023YFB4102600) （2023YFB4102600）
