Adjustable and distributionally robust chance-constrained economic dispatch considering wind power uncertainty

作     者：Xin FANG Bri-Mathias HODGE Fangxing LI Ershun DU Chongqing KANG 

作者机构：National Renewable Energy LaboratoryGoldenCO80401USA Department of Electrical Engineering and Computer ScienceThe University of TennesseeKnoxvilleTN37996USA State Key Laboratory of Power SystemsDepartment of Electrical EngineeringTsinghua UniversityBeijing100084China 

出 版 物：《Journal of Modern Power Systems and Clean Energy》 (现代电力系统与清洁能源学报（英文）)

年 卷 期：2019年第7卷第3期

页      面：658-664页

核心收录：

学科分类：0808[工学-电气工程] 080802[工学-电力系统及其自动化] 08[工学] 0807[工学-动力工程及工程热物理] 

基　　金：co-authored by Alliance for Sustainable Energy, LLC, the manager and operator of the National Renewable Energy Laboratory for the U.S. Department of Energy (DOE) (No. DE-AC36-08GO28308) provided by U.S. DOE Office of Energy Efficiency and Renewable Energy Wind Energy Technologies Office 

主　　题：Economic dispatch Adjustable and distributionally robust chance-constrained(ADRCC) optimization Wind power forecasting Uncertainty 

摘      要：This paper proposes an adjustable and distributionally robust chance-constrained(ADRCC) optimal power flow(OPF) model for economic dispatch considering wind power forecasting uncertainty. The proposed ADRCC-OPF model is distributionally robust because the uncertainties of the wind power forecasting are represented only by their first-and second-order moments instead of a specific distribution assumption. The proposed model is adjustable because it is formulated as a second-order cone programming(SOCP) model with an adjustable coefficient.This coefficient can control the robustness of the chance constraints, which may be set up for the Gaussian distribution, symmetrically distributional robustness, or distributionally robust cases considering wind forecasting uncertainty. The conservativeness of the ADRCC-OPF model is analyzed and compared with the actual distribution data of wind forecasting error. The system operators can choose an appropriate adjustable coefficient to tradeoff between the economics and system security.