A novel approach towards energy storage system sizing considering battery degradation

Du, Yuhua; Jain, Rishabh; Lukic, Srdjan

doi:10.1109/ecce.2016.7854726

Cited by 10 publications

(6 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Note that in the above expression, there is only one variable, BS and the rest of the values are either constants or parameters. Finally, the optimisation problem comprises (16), and constraints (5), (6) and (17).…”

Section: Battery Optimal Sizingmentioning

confidence: 99%

“…In [15], the authors present a methodology used for accelerated lifetime testing of lithium‐ion batteries, the results are used for the parameterisation of a performance‐degradation lifetime model, while [16] introduces a lifetime model which estimates the decrease of energy capacity and power including the effects of temperature, state of charge profile and daily depth of discharge. Finally, in [17], the author develops a complex degradation model which includes the modelling of the electrical circuit and the calendar and thermal degradation, validating it with a lithium nickel cobalt aluminium oxide battery.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Optimal battery sizing considering degradation for renewable energy integration

Torre¹,

González-González²,

Aguado³

et al. 2019

IET Renewable Power Generation

View full text Add to dashboard Cite

The problem of sizing an electrochemical energy storage system for renewable energy integration is a complex task. There are several system input parameters that must be taken into account for a correct design. Among them, the ageing characteristic of the technology, the service that the system provides, i.e. the power profile that the system faces and the desired Crate are considered. A simple solution for this problem is not available in the literature. This study presents a simple yet robust optimisation-based model for renewable energy integration. The model explicitly takes into account the intrinsic battery ageing process. The authors propose a formulation for the optimisation problem that can be written in terms of just one continuous variable, namely, the amount of energy that the battery is able to store (battery size); using the proposed procedure, solving the problem obtained is a relatively straightforward task. Results are first discussed using an illustrative example and later extended to two real case studies.

show abstract

Section: Battery Optimal Sizingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimal battery sizing considering degradation for renewable energy integration

Torre¹,

González-González²,

Aguado³

et al. 2019

IET Renewable Power Generation

View full text Add to dashboard Cite

show abstract

“…Degradation evolution is very important for the economic analysis of these systems, which are still costly, as already indicated, and whose profitability is still under discussion [18]. In fact, degradation is already a key parameter in the profitability analyses of batteries being proposed in applications, such as ramp rate control of large renewable power generation plants [19,20], ancillary services [21,22], energy arbitrage, and peak shaving provided by large energy storage systems [23,24], and even for electric vehicle integration [25]. Among those published for the residential solar storage sector, some can be highlighted.…”

Section: Introductionmentioning

confidence: 99%

Lifetime Expectancy of Li-Ion Batteries used for Residential Solar Storage

2020

View full text Add to dashboard Cite

This paper analyses the degradation that is experienced by different types of Li-ion batteries when used as home solar storage systems controlled to minimize the electricity bill of the corresponding household. Simulating the annual operation of photovoltaic (PV) residential systems with batteries at different locations was undertaken to perform the study and it uses actual consumption values and real PV production profiles, as well as validated semi-empirical ageing models of the batteries. Therefore, the work provides a realistic prognosis around the lifetime expectancies for the different Li-ion chemistries.

show abstract

“…BESS aging, peak shaving and valley filling are the key ones. Authors in researches [2,3] have investigated sizing of BESSs for MGs including RESs such as PV and wind whereas no cost minimization of MG or BESS scheduling have been taken into account in these studies. Furthermore, paper [4] has focused on BESS sizing investigating peak demand shaving by employing BESS but no scheduling of BESS is measured.…”

Section: Introductionmentioning

confidence: 99%

Battery energy storage cost and capacity optimization for university research center

Moghimi

Garmabdari

Stegen

et al. 2018

2018 IEEE/IAS 54th Industrial and Commercial Power Systems Technical Conference (I&CPS)

View full text Add to dashboard Cite

Microgrids (MGs) are the essential part of the modern power grids defined as the building blocks of smart grids. Renewable Energy Sources (RESs) and Battery Energy Storage Systems (BESSs) combined with Distributed Generators (DGs) form a comprehensive MG, which require the control and Energy Management System (EMS) to fulfill the load and grid requirements. As the need for BESS grows due to uncertainties of RESs, scheduling and cost management of BESSs in the MG becomes more of a concern. In this paper, BESSs have been designed for a university research center to simultaneously overcome the outage problem and shave the peak demand considering the BESS sizing and degradation; MG cost minimization, as well as MG scheduling. PV and wind are the RESs employed in this study and in combination; Li-Ion BESS has been utilized to investigate the MG performance. A two-layer optimization algorithm has been presented to optimally define the BESS size and minimize the operational cost of the MG achieving the peak shaving and valley filling objectives. The results prove the functionality and applicability of the proposed system to be implemented as a part of the experimental MG at Griffith University in order to enhance the stability and reliability of the research center and at the same time minimize the operational costs of the MG.

show abstract

A novel approach towards energy storage system sizing considering battery degradation

Cited by 10 publications

References 11 publications

Optimal battery sizing considering degradation for renewable energy integration

Optimal battery sizing considering degradation for renewable energy integration

Lifetime Expectancy of Li-Ion Batteries used for Residential Solar Storage

Battery energy storage cost and capacity optimization for university research center

Contact Info

Product

Resources

About