Adaptive Power Pinch Analysis for Energy management of Hybrid Energy Storage Systems
作者： Nyong-Bassey Bassey Etim , Damian Giaouris , Athanasios I Papadopoulos , Haris Patsios , Simira Papadopoulou
DOI: 10.1109/ISCAS.2018.8351732
关键词: Energy storage 、 Computer science 、 Power management 、 Energy management 、 Control theory 、 Model predictive control 、 Open-loop controller 、 Fossil fuel 、 Battery (electricity) 、 Power (physics) 、 Pinch analysis 、 State of charge
摘要: This work proposes a hierarchical control based power management strategy exploiting an adaptive Power Pinch analysis algorithm. The pinch is aided via the insight-based graphical grand composite curve (PGCC) of hybrid energy storage system's (HESS) model. results in identification optimal (PMS), effected at beginning horizon on HESS. However, recent study showed that weather and load uncertainty distorts desired shaped PGCC consequently leads to violation storage's state charge operating set points. In this order negate effect uncertainty, current output utilized as feedback control. within receding model predictive framework. re-computation ensues only if error variance, due between real estimated battery's (SOAccBAT) greater than 5%. proposed method evaluated against standard or Day-Ahead open loop shows reduction over discharging overcharging battery fossil fuel emission impact by 15%, 44.97%, 8.8% respectively.
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