摘要
To deal with uncertainties of renewable energy,demand and price signals in real-time microgrid operation,this paper proposes a model predictive control strategy for microgrid economic dispatch, where hourly schedule is constantly optimized according to the current system state and latest forecast information. Moreover, implicit network topology of the microgrid and corresponding power flow constraints are considered, which leads to a mixed integer nonlinear optimal power flow problem. Given the non-convexity feature of the original problem, the technique of conic programming is applied to efficiently crack the nut. Simulation results from a reconstructed IEEE-33 bus system and comparisons with the routine day-ahead microgrid schedule sufficiently substantiate the effectiveness of the proposed MPC strategy and the conic programming method.
基金
supported by the National Natural Science Foundation of China(No.51277170)
the National Key Basic Research Program of China(No.2012CB215204)
作者简介
Yan DU received the B.S.degree in electrical engineering from Tianjin University,Tianjin,China in 2013.She is currently working toward the M.S.degree at the Institute of Electrical Engineering,Chinese Academy of Sciences.Her research interests include microgrid optimization and demand response.duyan@mail.iee.ac.cn;Wei PEI received the B.S.and M.S.degrees in electrical engineering from Tianjin University,Tianjin,China,in 2002 and 2005,respectively,and the Ph.D.degree from the Institute of Electrical Engineering,Chinese Academy of Sciences,Beijing,China,in 2008,where he is currently working as an Associate Professor and the Director of the Distributed Generation and Power System Research Group.His research interests include the impact of integration of renewable energy sources on the electricity grid and the development of the transmission/distribution grid for large-scale renewable integration,active distribution network,and AC/DC microgrid.peiwei@mail.iee.ac.cn;Naishi CHEN received the B.S.and M.S.degrees in electrical engineering from North China Electric Power University,Beijing,China,in 2004 and 2007,respectively.He is currently works as a senior engineer in China Electric Power Research Institute of State Grid Corporation of China.His research interests include dispatching automation system and active distribution network.chennaishi@epri.sgcc.com.cn;Xianjun GE received the B.S.in Engineering degree in electrical engineering from Beijing Jiaotong University,Beijing,China,in 2000,and the M.S.degree from Tianjin University,Tianjin,in 2015.He is currently works as a senior engineer in China Electric Power Research Institute of State Grid Corporation of China.His research interests include dispatching automation system and active distribution network.Gexianjun@epri.sgcc.com.cn;Hao XIAO received the B.S.degree from Huazhong University of Science and Technology,Wuhan,China,in 2009,and the Ph.D.degree in electrical engineering from the Chinese Academy of Sciences,Beijing,China,in 2015.He is currently an Assistant Professor with the Institute of Electrical Engineering,Chinese Academy of Sciences.His research interests include microgrid energy management and coordination control,demand response,and optimal operation of active distribution network xiaohao09@mail.iee.ac.cn
