Robust scheduling for microgrid energy management optimization
This paper presents a robust optimization algorithm for scheduling the dispatchable units in a microgrid. Combined economic and environmental optimization problem with strict and soft operational constraints is formulated by Mixed Integer Linear Programming frame. Uncertainties coming from the forecasting error of renewable (RnE) and local load are processed by convex optimization procedure with affine recourse treatment. As a result, the suggested algorithm generates off-line long-term-ahead operation trajectory of the dispatchable units in a microgrid, which minimizes the operation cost while maximally respecting the instantaneous energy balance and has robustness against the uncertainties from RnE as well as consumption prediction errors.
Affine recourse EMS microgrid prediction error robust optimization
Xuyang Pan Xingyan Niu Xavier Yang Nicolas Chamollet Dehua Zheng
Electricité de France (EDF),Research & Development Goldwind Beijing Etecwin Electric Co. Ltd
国际会议
西安
英文
1-5
2016-09-01（万方平台首次上网日期，不代表论文的发表时间）