
1. 中国电建集团华东勘测设计研究院有限公司
2. 西藏农牧学院水利土木工程学院
3. 华中科技大学土木与水利工程学院
Published:2025
移动端阅览
[J]. 2025, 42(4): 99-107.
为提升两部制电价体系下风-光-抽水蓄能互补系统的经济运行效益,并增强系统容量配置的经济性,提出一种基于深度学习的双层经济容量配置方法。首先,通过改进深度卷积生成对抗网络(deep convolution generative adversarial networks
DCGAN)对风电、光伏联合出力不确定性进行建模,生成适用于互补系统经济运行的风光出力场景集。其次,构建风-光-抽水蓄能互补系统的双层经济容量配置模型:外层模型以全生命周期经济性最优为目标,在两部制电价框架下优化风光容量配置;内层模型则通过抽水蓄能电站的灵活调节能力,以日内售电收益最大化为目标实现系统经济运行。最后,以青海某抽水蓄能电站及其周边新能源场站为例进行模型验证,研究结果表明,所提方法能够有效提升两部制电价下互补系统经济性和新能源消纳水平。
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