摘要
当前高比例可再生能源飞速发展,为了解决布式新能源随机性、波动性等特点造成的大量弃风弃光等资源浪费问题,笔者根据抽水蓄能的储能优点,考虑各种约束条件,建立了风-光-火-抽水蓄能联合发电模型,以实现联合发电系统综合收益最大。此外,应用遗传算法进行优化,算例结果表明加入抽水蓄能电站能够提升联合发电系统的收益。
At present, a high proportion of renewable energy is developing rapidly. In order to solve the problem of resource waste such as a large number of wind and solar abandonment caused by the randomness and volatility of distributed new energy, the author considers various constraints based on the advantages of pumped storage. A wind-light-fire-pumped-storage combined power generation model was established to maximize the comprehensive benefits of the combined power generation system. In addition,genetic algorithm is used for optimization, and the results of calculation examples show that adding pumped storage power stations can increase the revenue of the combined power generation system.
作者
姬嘉明
邹帅
JI Jiaming;ZOU Shuai(North China University of Water Resources and Electric Power,Zhengzhou Henan 450045,China)
出处
《信息与电脑》
2021年第21期52-54,共3页
Information & Computer
关键词
风光发电
抽水蓄能
优化调度
遗传算法
wind power generation
pumped storage
optimal scheduling
genetic algorithm
