scholarly journals A distributed rule‐based power management strategy in a photovoltaic/hybrid energy storage based on an active compensation filtering technique

2021 ◽  
Author(s):  
Seyyed Ali Ghorashi Khalil Abadi ◽  
Ali Bidram
Keyword(s):  
Energy Storage ◽  
Power Management ◽  
Management Strategy ◽  
Rule Based ◽  
Active Compensation ◽  
Hybrid Energy ◽  
Hybrid Energy Storage ◽  
Power Management Strategy ◽  
Filtering Technique

Stochastic power management strategy for hybrid energy storage systems to enhance large scale wind energy integration

2020 ◽  
Vol 31 ◽  
pp. 101650 ◽  
Author(s):  
Linda Barelli ◽  
Dana-Alexandra Ciupageanu ◽  
Andrea Ottaviano ◽  
Dario Pelosi ◽  
Gheorghe Lazaroiu
Keyword(s):  
Energy Storage ◽  
Power Management ◽  
Management Strategy ◽  
Large Scale ◽  
Storage Systems ◽  
Energy Integration ◽  
Hybrid Energy ◽  
Hybrid Energy Storage ◽  
Power Management Strategy ◽  
Wind Energy Integration

scholarly journals Power Management Control Strategy Based on Artificial Neural Networks for Standalone PV Applications with a Hybrid Energy Storage System

Energies ◽  
2019 ◽  
Vol 12 (5) ◽  
pp. 902 ◽  
Author(s):  
João Faria ◽  
José Pombo ◽  
Maria Calado ◽  
Sílvio Mariano
Keyword(s):  
Energy Storage ◽  
Power Management ◽  
Management Strategy ◽  
Storage Systems ◽  
Li Ion Batteries ◽  
Pv System ◽  
Hybrid Energy ◽  
Hybrid Energy Storage ◽  
Power Management Strategy ◽  
Li Ion

Standalone microgrids with photovoltaic (PV) solutions could be a promising solution for powering up off-grid communities. However, this type of application requires the use of energy storage systems (ESS) to manage the intermittency of PV production. The most commonly used ESSs are lithium-ion batteries (Li-ion), but this technology has a low lifespan, mostly caused by the imposed stress. To reduce the stress on Li-ion batteries and extend their lifespan, hybrid energy storage systems (HESS) began to emerge. Although the utilization of HESSs has demonstrated great potential to make up for the limitations of Li-ion batteries, a proper power management strategy is key to achieving the HESS objectives and ensuring a harmonized system operation. This paper proposes a novel power management strategy based on an artificial neural network for a standalone PV system with Li-ion batteries and super-capacitors (SC) HESS. A typical standalone PV system is used to demonstrate and validate the performance of the proposed power management strategy. To demonstrate its effectiveness, computational simulations with short and long duration were performed. The results show a minimization in Li-ion battery dynamic stress and peak current, leading to an increased lifespan of Li-ion batteries. Moreover, the proposed power management strategy increases the level of SC utilization in comparison with other well-established strategies in the literature.

scholarly journals Real time power management strategy for hybrid energy storage systems coupled with variable energy sources in power smoothing applications

2021 ◽  
Vol 7 ◽  
pp. 2872-2882
Author(s):  
L. Barelli ◽  
G. Bidini ◽  
D.A. Ciupageanu ◽  
A. Micangeli ◽  
P.A. Ottaviano ◽  
...  
Keyword(s):  
Energy Storage ◽  
Power Management ◽  
Management Strategy ◽  
Storage Systems ◽  
Energy Sources ◽  
Hybrid Energy ◽  
Hybrid Energy Storage ◽  
Power Management Strategy ◽  
Power Smoothing ◽  
Variable Energy

scholarly journals A Fuzzy-Logic Power Management Strategy Based on Markov Random Prediction for Hybrid Energy Storage Systems

Energies ◽  
2016 ◽  
Vol 9 (1) ◽  
pp. 25 ◽  
Author(s):  
Yanzi Wang ◽  
Weida Wang ◽  
Yulong Zhao ◽  
Lei Yang ◽  
Wenjun Chen
Keyword(s):  
Fuzzy Logic ◽  
Energy Storage ◽  
Power Management ◽  
Management Strategy ◽  
Storage Systems ◽  
Energy Storage Systems ◽  
Hybrid Energy ◽  
Hybrid Energy Storage ◽  
Power Management Strategy ◽  
Markov Random
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