作者: S. X. Chen , H. B. Gooi , M. Q. Wang
关键词: Mathematical optimization 、 Microgrid 、 Energy storage 、 Mathematical model 、 AMPL 、 Control engineering 、 Linear programming 、 Power system simulation 、 Sizing 、 Engineering 、 Integer programming
摘要: This paper presents a new method based on the cost-benefit analysis for optimal sizing of an energy storage system in microgrid (MG). The unit commitment problem with spinning reserve MG is considered this method. Time series and feed-forward neural network techniques are used forecasting wind speed solar radiations respectively errors also paper. Two mathematical models have been built both islanded grid-connected modes MGs. main formulated as mixed linear integer (MLIP), which solved AMPL (A Modeling Language Mathematical Programming). effectiveness approach validated by case studies where ratings MGs determined. Quantitative results show that size BESS exists differs