Robust Real-Time Distributed Optimal Control Based Energy Management in a Smart Grid

作     者：Xu, Yinliang Yang, Zaiyue Gu, Wei Li, Ming Deng, Zicong 

作者机构：Sun Yat Sen Univ Sun Yat Sen Univ Carnegie Mellon Univ SYSU CMU Jo Guangzhou 510275 Guangdong Peoples R China SYSU CMU Shunde Int Joint Res Inst Shunde 528300 Peoples R China Zhejiang Univ Dept Control Sci & Engn State Key Lab Ind Control Technol Hangzhou 310027 Zhejiang Peoples R China Southeast Univ Sch Elect Engn Nanjing 210096 Jiangsu Peoples R China 

出 版 物：《IEEE TRANSACTIONS ON SMART GRID》 (IEEE Trans. Smart Grid)

年 卷 期：2017年第8卷第4期

页      面：1568-1579页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 

基　　金：National Natural Science Foundation of China 

主　　题：Distributed algorithm optimal control energy management consensus algorithm smart grid 

摘      要：With the integration of distributed generations and controllable loads, the power grid becomes geographically distributed with a time-varying topology. The operation conditions may change rapidly and frequently;thus, management and control of the smart grid pose great challenges on traditional centralized control strategies. This paper proposes a distributed algorithm for energy management in a power grid, while dynamically minimizing the adjustment costs. The objective function is designed to optimize the overall social welfare considering generation suppliers and load users simultaneously. The proposed algorithm integrates consensus algorithm and optimal control algorithm, which requires only information exchanging among neighboring units and enables the sharing of computational and communication burden among distributed local controllers. It is robust to communication failures and adaptive to topology changes. Simulation results of the IEEE 9-bus, 39-bus systems, and a 200-unit system demonstrate the effectiveness of the proposed algorithm and indicate the promising applications to practical power systems.