Wind-hydro-thermal hybrid-augmented intelligent scheduling based on deep reinforcement learning and evolutionary computation

Author:

LI YuanZheng,HAO GuoKai,YANG DongSheng,ZHAO Yong,ZHOU JieHan,ZENG ZhiGang

Publisher

Science China Press., Co. Ltd.

Subject

Computer Networks and Communications,Control and Systems Engineering

Reference25 articles.

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2. Luo S H, Hu W H, Liu W. Transition pathway for China to achieve carbon neutrality by 2060 (in Chinese). Sci Sin Tech, 2022,

3. Wang Q, Guo Y F, Wan J, et al. Primary frequency regulation strategy of thermal units for a power system with high penetration wind power (in Chinese). Proceed CSEE, 2018, 38: 974‒984 [王琦, 郭钰锋, 万杰, 等. 适用于高风电渗透率电力系统的火电机组一次调频策略. 中国电机工程学报, 2018, 38: 974‒984].

4. Wang K W, Zhu Q S, Lv Q, et al. Situation evaluation of peak regulation of provincial grid considering unconventional peak regulation (in Chinese). Power Syst Technol, 2018, 42: 2168‒2177 [王恺文, 朱全胜, 吕泉, 等. 计及非常规调峰的省级电网调峰形势评估. 电网技术, 2018, 42: 2168‒2177].

5. Lu P. Research on short-term optimal operation and economic dispatching of trans-provincial power cascade hydropower stations (in Chinese). Dissertation for the Doctoral Degree. Wuhan: Huazhong University of Science & Technology, 2016 [卢鹏. 梯级水电站群跨电网短期联合运行及经济调度控制研究. 博士学位论文. 武汉: 华中科技大学, 2016].

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