风-火-抽蓄联合发电系统优化运行研究 |
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引用本文:李海鹏1,张继光1,衡鑫2,张荣兵2,张杰2,刘耀飞3.风-火-抽蓄联合发电系统优化运行研究[J].电网与清洁能源,2025,41(5):126~132 |
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基金项目:陕西省自然科学基础研究计划项目(2021JQ-471) |
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中文摘要:基于我国火电机组发电量依旧占据主要地位的能源形势,在火电机组承担基荷的情况下,构建了抽水蓄能、火电与风电的联合优化运行模型,并通过粒子群优化算法求解该模型;分析了不同季节和不同容量配比下风电与抽蓄的联合运行效果,研究多能互补系统优化运行的综合效益,对抽蓄与风电的联合运行具有积极的参考意义。 |
中文关键词:抽水蓄能 联合发电系统 粒子群算法 优化调度 |
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A Study on the Optimized Operation of Wind-Thermal-Pumped Storage Combined Generation System |
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Abstract:Given the energy situation in China, where the power generation from thermal power units still dominates, a combined optimization operation model for pumped storage, thermal power, and wind power is constructed under the condition that thermal power units bear the base load. The model is solved using the particle swarm optimization(PSO) algorithm. The joint operation effects of wind power and pumped storage under different seasons and different capacity ratios are analyzed, and the comprehensive benefits of the optimized operation of the multi-energy complementary system is studied. This research has positive reference significance for the joint operation of pumped storage and wind power. |
keywords:pumped storage combined generation system particle swarm algorithm optimal operation |
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