Review of battery storage optimisation in Distributed Generation

Coppez, G.; Chowdhury, S.

doi:10.1109/pedes.2010.5712406

Cited by 15 publications

(10 citation statements)

References 20 publications

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“…To address this issue, energy storage can play a vital role in power smoothening and in time-shifting the energy provided by solar power based technologies. Battery Energy Storage Systems (BESS) [9,10,11] can provide firm power, when coupled with bulk solar PV generators, and mitigate the fluctuations caused by them in the network [12]. Much has been documented about the need for storage in power transmission networks especially with increasing penetration of renewable energy based power sources [13], catering to both base-load and peak power demand.…”

Section: Dodmentioning

confidence: 99%

An Economic Examination of Solar Energy with Storage based Supply Options: Solar PV-Battery and CSP with Thermal-Storage

Verma,

Singal

2019

IJEAT

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Renewable energy is being promoted amidst rising environmental concerns associated with fossil-fuel usage for power generation. The stock of such fuels is also limited and is fast depleting. Renewable energy sources such as solar photovoltaic (PV) systems present a clean alternative that has become cost-competitive with conventional thermal power generation systems. However, to counter the intermittent nature of solar power and ensure firm power supply, energy storage is essential. This paper presents a comparative analysis of power supply options based on two solar energy technologies - PV and concentrated solar power (CSP). Energy storage in the form of battery and thermal energy respectively has been included and different combinations of supply options, along with utility grid, have been analyzed in terms of the levelized cost of electricity (LCOE). The LCOE values for supplying a particular substation load in India have been compared and it was found that CSP with thermal energy storage emerged to be the economically viable option for supplying the load.

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Section: Dodmentioning

confidence: 99%

An Economic Examination of Solar Energy with Storage based Supply Options: Solar PV-Battery and CSP with Thermal-Storage

Verma,

Singal

2019

IJEAT

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“…One of the main reasons for this limited practical application is lack of practical experience and lack of availability of tools which could be used for optimal control of battery storage in the smart grid during planning. Lately there has been some development of different types of optimal control algorithms in smart grid (Zhou et al, 2010;Coppez et al, 2010;Vytelingum et al, 2010). Coppez et al (2010) has classified battery storage optimisations based on hybrid renewable energy system in four categories: graph construction, probabilistic and deterministic techniques, genetic algorithms and artificial neural networks.…”

Section: Introductionmentioning

confidence: 99%

“…Lately there has been some development of different types of optimal control algorithms in smart grid (Zhou et al, 2010;Coppez et al, 2010;Vytelingum et al, 2010). Coppez et al (2010) has classified battery storage optimisations based on hybrid renewable energy system in four categories: graph construction, probabilistic and deterministic techniques, genetic algorithms and artificial neural networks. Main issues like cell battery technology and optimisation techniques were reviewed.…”

Section: Introductionmentioning

confidence: 99%

“…Other techniques will prove more useful for a more complex system with high dimensional parameters because it is only useful for simple systems with few parameters. Probabilistic techniques can be used in situations where actual hour by hour long-term data is not available and more general data needs to be used (Coppez et al, 2010). The probabilistic and deterministic techniques are achieved by initially creating a design space of feasible solutions which adhere to the maximum LPSP.…”

Section: Introductionmentioning

confidence: 99%

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A novel battery network modelling using constraint differential evolution algorithm optimisation

Liu¹,

Rowe

Holderbaum

et al. 2016

Knowledge-Based Systems

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The amount of battery storage into the power system network has been increasing in the recent years. The use of battery storage devices has been advocated as one of the main ways of improving the power quality and reliability of the power system, including minimization of energy imbalance and reduction of peak demand. Higher peaks in demand will increase the electricity price and could cause blackouts and infrastructure damage. Lowering peak demand to reduce the use of carbon-intensive fuels and the number of expensive peaking plant generators is thus of major importance. Self-adaptive control methods for individual batteries have been developed to reduce the peak demand. However, these self-adaptive control algorithms of are not very efficient without sharing the energy among different batteries. This paper proposes a novel battery network system with optimal management of energy between batteries. An optimal management strategy has been implemented using a population-based constraint differential evolution algorithm. Taking advantage of this strategy the battery network model can remove more peak areas of forecasted demand data compared to the self-adaptive control algorithm developed for the New York City study case.

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“…The use of renewable energy sources within such systems can add further limitations due to their intermittent nature and needs to be carefully considered when being employed on weak systems [2][3][4]. Sudden load changes or loss of renewable supply can lead to a short term transient mismatch of power within such systems, and if the primary source of the electrical energy is a generator, then this can cause a reduction in system frequency as the generator initially slows (changing kinetic energy to electrical energy to meet the new electrical load requirements).…”

Section: Introductionmentioning

confidence: 99%

Frequency control improvement within a microgrid, using enhanced STATCOM with energy storage

Agbedahunsi

Sumner

Christopher

et al. 2012

6th IET International Conference on Power Electronics, Machines and Drives (PEMD 2012)

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This paper introduces the use of a STATCOM with Supercapacitor energy storage (SES) to aid frequency control in a weak power supply network. The control of the fast response energy storage is coordinated with the slow response generator to ensure power matching within the power system at all times. Simulation and Experimental results are presented to show the improved frequency control in the presence of large load steps.

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Review of battery storage optimisation in Distributed Generation

Cited by 15 publications

References 20 publications

An Economic Examination of Solar Energy with Storage based Supply Options: Solar PV-Battery and CSP with Thermal-Storage

An Economic Examination of Solar Energy with Storage based Supply Options: Solar PV-Battery and CSP with Thermal-Storage

A novel battery network modelling using constraint differential evolution algorithm optimisation

Frequency control improvement within a microgrid, using enhanced STATCOM with energy storage

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