Model Predictive Optimal Dispatch of Behind-the-Meter Energy Storage Considering Onsite Generation Uncertainties
作者： Bishnu P. Bhattarai , Sumit Paudyal , Kurt S. Myers , Robert J. Turk , Reinaldo Tonkoski
DOI: 10.1109/PESGM.2018.8585957
关键词:
摘要: This paper presents the model-predictive optimal dispatch of a behind-the-meter energy storage (BMES) system considering onsite generation/load variabilities and forecasting uncertainties. First, generation consumption are forecasted for given facility with different confidence level using auto-regressive integrated moving average model. Subsequently, cost-optimal BMES is computed uncertainties, cost energy, battery degradation, (BTM) services. In particular, deployed multiple BTM services, including peak-load reductions, smoothing intermittencies from renewables, load shaping facility. A mixed-integer non-linear programming based optimization formulated solved in GAMS KNITRO solver to compute dispatch. The performance proposed method investigated through 24-hour time-series simulation co-simulation environment (GAMS, MATLAB, R) operational data residential consumer. results demonstrate that can simultaneously maximize benefits provide insights sizing resources compensate power imbalances
sci-hub.se 参考文章(13)
Tahoura Hosseini Mehr, Mohammad A.S. Masoum, Nasim Jabalameli, Grid-connected Lithium-ion battery energy storage system for load leveling and peak shaving australasian universities power engineering conference. pp. 1- 6 ,(2013) , 10.1109/AUPEC.2013.6725376
George Edward Pelham Box, Gwilym M. Jenkins, Time series analysis, forecasting and control ,(1970)
Dan Wang, Shaoyun Ge, Hongjie Jia, Chengshan Wang, Yue Zhou, Ning Lu, Xiangyu Kong, A Demand Response and Battery Storage Coordination Algorithm for Providing Microgrid Tie-Line Smoothing Services IEEE Transactions on Sustainable Energy. ,vol. 5, pp. 476- 486 ,(2014) , 10.1109/TSTE.2013.2293772
Yanzhi Wang, Xue Lin, Massoud Pedram, Adaptive Control for Energy Storage Systems in Households With Photovoltaic Modules IEEE Transactions on Smart Grid. ,vol. 5, pp. 992- 1001 ,(2014) , 10.1109/TSG.2013.2292518
Yanzhi Wang, Xue Lin, Massoud Pedram, A Near-Optimal Model-Based Control Algorithm for Households Equipped With Residential Photovoltaic Power Generation and Energy Storage Systems IEEE Transactions on Sustainable Energy. ,vol. 7, pp. 77- 86 ,(2016) , 10.1109/TSTE.2015.2467190
J. Neubauer, M. Simpson, Deployment of Behind-The-Meter Energy Storage for Demand Charge Reduction ,(2015) , 10.2172/1168774
Ganesh Kumar Venayagamoorthy, Ratnesh K. Sharma, Prajwal K. Gautam, Afshin Ahmadi, Dynamic Energy Management System for a Smart Microgrid IEEE Transactions on Neural Networks. ,vol. 27, pp. 1643- 1656 ,(2016) , 10.1109/TNNLS.2016.2514358
Young-Jin Kim, Gerard Del-Rosario-Calaf, Leslie K. Norford, Analysis and Experimental Implementation of Grid Frequency Regulation Using Behind-the-Meter Batteries Compensating for Fast Load Demand Variations IEEE Transactions on Power Systems. ,vol. 32, pp. 484- 498 ,(2017) , 10.1109/TPWRS.2016.2561258
Konstantinos Kouzelis, Load and Flexibility Models for Distribution Grid Management Department of Energy Technology, Aalborg University. ,(2015)
Michael Ross, Chad Abbey, Francois Bouffard, Geza Joos, Microgrid Economic Dispatch With Energy Storage Systems IEEE Transactions on Smart Grid. ,vol. 9, pp. 3039- 3047 ,(2018) , 10.1109/TSG.2016.2624756