期刊
IEEE TRANSACTIONS ON SMART GRID
卷 10, 期 5, 页码 5223-5233出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSG.2018.2879226
关键词
GPU; model predictive control; operational flexibility; power system; pumped storage unit
资金
- Research Grants Council of the Hong Kong Special Administrative Region through the Theme-Based Research Scheme [T23-701/14-N]
- National Natural Science Foundation of China [51677160]
- Research Grant Council, Hong Kong [GRF17207818]
With the integration of more renewable energy, operational flexibility becomes a bottleneck for power system operation. Pumped storage units can enhance their operational flexibility by switching between different operation modes. They have limited capacity for adjustment when operated as generators and are non-adjustable when operated in the pump mode. However, the power ramps generated during the switching of operation modes are valuable for regulating the frequency and increasing the operational flexibility. In order to achieve sufficient performance, it is essential to determine the optimal switching time for the pumped storage units. However, there is no standard method to obtain the optimal switching time due to the complexities and non-linear characteristics of such a problem. In this paper, an enumeration based model predictive control (MPC) strategy is proposed to determine the optimal switching time of a pumped storage unit to enhance its operational flexibility and facilitate frequency regulation. Furthermore, a graphics processing unit accelerated computing method is proposed to solve the problem effectively and to make the MPC controller suitable for practical applications.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据