作者: Steven H. Low , Zhaojian Wang , Shengwei Mei , Feng Liu , Peng Yang
DOI:
关键词: Optimization problem 、 Renewable resource 、 Power (physics) 、 Computer science 、 Internal model 、 Renewable energy 、 Electric power system 、 Automatic frequency control 、 Electric vehicle 、 Control theory 、 Control theory 、 Frequency deviation
摘要: This paper addresses the distributed frequency control problem in a multi-area power system taking into account of unknown time-varying imbalance. Particularly, fast controllable loads are utilized to restore under changing imbalance an optimal manner. The imbalanced causing deviation is decomposed three parts: known constant part, low-frequency variation and high-frequency residual. steady part usually prediction may result from fluctuation renewable resources, electric vehicle charging, etc., which operators. residual treated as external disturbance. Correspondingly, this paper, we resolve following problems different timescales: 1) allocate economically; 2) mitigate effect locally; 3) attenuate disturbances. To end, controller combining consensus method with adaptive internal model proposed. We first prove that closed-loop asymptotically stable converges solution optimization if disturbance not included. then can be mitigated accurately. Furthermore, show robust against both parameter uncertainty New England used verify efficacy our design.