Distributionally Robust Optimal Dispatch of Offshore Wind Farm Cluster Connected by VSC-MTDC Considering Wind Speed Correlation  

作　　者：Xiangyong Feng Shunjiang Lin Wanbin Liu Weikun Liang Mingbo Liu 

机构地区：[1]School of Electric Power Engineering,South China University of Technology,Guangzhou 510640,China [2]Guangdong Key Laboratory of Clean Energy Technology,South China University of Technology,Guangzhou 511458,China

出　　处：《CSEE Journal of Power and Energy Systems》2023年第3期1021-1035,共15页中国电机工程学会电力与能源系统学报（英文）

基　　金：supported by the Key Research and Development Project of Guangdong Province(Grant No.2021B0101230004);the National Natural Science Foundation of China(Grant No.51977080).

摘　　要：Multi-terminal voltage source converter-based highvoltage direct current(VSC-MTDC)transmission technology has become an important mode for connecting adjacent offshore wind farms(OWFs)to power systems.Optimal dispatch of an OWF cluster connected by the VSC-MTDC can improve economic operation under the uncertainty of wind speeds.A two-stage distributionally robust optimal dispatch(DROD)model for the OWF cluster connected by VSC-MTDC is established.The first stage in this model optimizes the unit commitment of wind turbines to minimize mechanical loss cost of units under the worst joint probability distribution(JPD)of wind speeds,while the second stage searches for the worst JPD of wind speeds in the ambiguity set(AS)and optimizes active power output of wind turbines to minimize the penalty cost of the generation deviation and active power loss cost of the system.Based on the Kullback–Leibler(KL)divergence distance,a data-driven AS is constructed to describe the uncertainty of wind speed,considering the correlation between wind speeds of adjacent OWFs in the cluster by their joint PD.The original solution of the two-stage DROD model is transformed into the alternating iterative solution of the master problem and the sub-problem by the column-and-constraint generation(C&CG)algorithm,and the master problem is decomposed into a mixedinteger linear programming and a continuous second-order cone programming by the generalized Benders decomposition method to improve calculation efficiency.Finally,case studies on an actual OWF cluster with three OWFs demonstrate the correctness and efficiency of the proposed model and algorithm.

关 键 词：C&CG algorithm distributionally robust optimization generalized Benders decomposition offshore wind farm wind speed correlation 

分 类 号：TM614[电气工程—电力系统及自动化] TM73