Control of a battery energy storage system accounting for the charge redistribution effect to dispatch the operation of a medium voltage feeder

Sossan, Fabrizio; Torregrossa, Dimitri; Namor, Emil; Cherkaoui, Rachid; Paolone, Mario

doi:10.1109/ptc.2015.7232770

Cited by 4 publications

(2 citation statements)

References 9 publications

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“…From the power user perspective, the main contribution of the storage system is to reduce electricity expenses and improve power supply continuity. Therefore, storage battery control is of great importance [19,20]. A large number of power control and management strategies have been proposed in the past for storage battery management systems [21][22][23].…”

Section: Research Problemmentioning

confidence: 99%

Adaptive Control of Energy Storage Systems for Real-Time Power Mediation Based on Energy on Demand System

Javaid

Kato²

2022

Designs

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The concept of i-Energy as a new smart demand-side energy management system is proposed, which can realize the versatile and efficient control of e-power flows between distributed generators, numerous appliances, and energy storage systems in the home domain, factories, offices, and local communities. The Energy on Demand (EoD) system is proposed, which is the automatic power control and management system that supplies power to home appliances based on the power demand requests issued from the home appliances. The EoD system can guarantee the reduction in total power consumption by implementing a ceiling control while keeping the quality of life (QoL) of the home user considering the limitation of power supply. This paper proposes an adaptive battery storage management and control method based on the EoD system, which we call the “storage-supported EoD system”. In particular, the storage-supported EoD system can handle multiple power generators, including storage batteries. The overall goals of this paper are not limited to the extension of multiple power supplies only; rather, it provides additional contributions, which are (i) extend the existing power consumption control of home appliances and peak demand shift control (i.e., EoD system) by adding a second power source, i.e., a storage battery system; (ii) propose adaptive storage system design and management for the EoD system; (iii) realize minimum storage capacity for large peak power consumption; and (iv) minimize the home user’s discomfort level due to the limited power supply of one power source. The simulation results have shown the effectiveness of the proposed algorithm with a couple of experiments using real-life data in the smart apartment room. Additionally, simulation results are presented to compare and evaluate the proposed system performance with the EoD system.

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Section: Research Problemmentioning

confidence: 99%

Adaptive Control of Energy Storage Systems for Real-Time Power Mediation Based on Energy on Demand System

Javaid

Kato²

2022

Designs

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“…Therefore, in the near future, BESSs are expected to have a diffusion similar to the one of RERs [1] [2] . They are currently used for applications such as peak-shaving [3], ancillary services [4], operation of isolated microgrids [5] or dispatch of portions of the grid [6].…”

Section: Introductionmentioning

confidence: 99%

Assessment of battery ageing and implementation of an ageing aware control strategy for a load leveling application of a lithium titanate battery energy storage system

Namor

Torregrossa

Sossan

et al. 2016

2016 IEEE 17th Workshop on Control and Modeling for Power Electronics (COMPEL)

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Abstract-The manuscript describes a method to embed into a battery energy storage system (BESS) control strategy the performance degradation associated with the battery operation. In particular, the proposed method aims at minimizing the degradation of the BESS electrochemical cells. A load leveling strategy is described as a case study and the ageing effects associated with the battery current extraction are embedded as constraints into the optimization problem. The main contributions of the work, compared to the existing literature are: i) the degradation process is formulated as a weighted energy throughput, thus taking into account the C-rate effect on the degradation phenomena; ii) the performance of the proposed control strategy has been applied to a large scale lithium-titanate BESS of 280 kWh interfaced to a 20 kV active distribution network.

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Power Management of Battery Energy Storage System Using Model Free Adaptive Control

Zhang

Lou

et al. 2018

2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)

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Control of a battery energy storage system accounting for the charge redistribution effect to dispatch the operation of a medium voltage feeder

Cited by 4 publications

References 9 publications

Adaptive Control of Energy Storage Systems for Real-Time Power Mediation Based on Energy on Demand System

Adaptive Control of Energy Storage Systems for Real-Time Power Mediation Based on Energy on Demand System

Assessment of battery ageing and implementation of an ageing aware control strategy for a load leveling application of a lithium titanate battery energy storage system

Power Management of Battery Energy Storage System Using Model Free Adaptive Control

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