Energy storage systems providing primary reserve and peak shaving in small isolated power systems: An economic assessment

Sigrist, Lukas; Lobato, E.; Rouco, L.

doi:10.1016/j.ijepes.2013.05.046

Cited by 108 publications

(53 citation statements)

References 21 publications

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“…Additionally, integration of intermittent renewable generation such as wind and solar power has stressed the importance of further roles of storage associated mainly with its capability to manage system imbalances and provide frequency control services [4][5][6]. Likewise, various studies [7][8][9][10][11] have reported ability of storage to further support system operation and thus renewables integration through provision of network services such as congestion management in transmission and distribution systems.…”

Section: Literature Review and Contributionmentioning

confidence: 99%

“…This output profile (that is compared in Figure 5 against (a) energy prices, (b) balancing service windows, (c) local and net active demand 5 , and (d) local and net reactive demand) maximises net profit while ensuring robustness for real-time service deliverability. 4 Assumed primary substation nameplate ratings: 2 x 34.5 MVA.…”

Section: Co-ordinated Provision Of Multiple Services In a Daymentioning

confidence: 99%

“…4 Assumed primary substation nameplate ratings: 2 x 34.5 MVA. 5 The term local demand refers to the demand at the low voltage substation level without the effect of storage, while the term net demand refers to the load through transformers of the primary substation (see Figure 1). …”

Section: Co-ordinated Provision Of Multiple Services In a Daymentioning

confidence: 99%

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A MILP model for optimising multi-service portfolios of distributed energy storage

2015

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Energy storage has the potential to provide multiple services to several sectors in electricity industry and thus support activities related to generation, network and system operation. Hence aggregating the value delivered by storage to these sectors is paramount for promoting its efficient deployment in the near future, which will provide the level of flexibility needed to deal with the envisaged high renewables share and the increase in peak demand driven by transport and heating electrification. In this context, we develop a Mixed Integer Linear Programming (MILP) model to schedule operation of distributed storage by coordinating provision of a range of system services which are rewarded at different market prices. The model maximises distributed storage's net profit while providing distribution network congestion management, energy price arbitrage and various reserve and frequency regulation services through both active and reactive power control. We demonstrate benefits associated with the coordination of these services and its impacts on commercial strategies to determine optimal multi-service portfolios in the long term. We also demonstrate the value of reactive power control to support not only distribution network congestion management, but also efficient trading of energy and balancing services which are usually treated through active power-only control.In addition, we use the model to price the service of distribution network congestion management and propose an efficient investment policy to upgrade distribution network capacity in the presence of distributed storage. Finally, several case studies under current market conditions in Great Britain (GB) demonstrate that distributed storage revenues associated with frequency control services are significantly more profitable.

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Section: Literature Review and Contributionmentioning

confidence: 99%

Section: Co-ordinated Provision Of Multiple Services In a Daymentioning

confidence: 99%

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A MILP model for optimising multi-service portfolios of distributed energy storage

2015

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“…Also, SOC min is usually indirectly given by the depth-of-discharge, DOD ¼ 1 À SOC min . (4) Similarly, the dynamics of the DG are described as [28]:…”

Section: System Compositionmentioning

confidence: 99%

An improved particle swarm optimisation algorithm applied to battery sizing for stand-alone hybrid power systems

Shang

Srinivasan

Reindl

2016

International Journal of Electrical Power & Energy Systems

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“…To this aim, an optimization problem is formulated and solved, taking into account the capital and operating costs of the ESS and the revenues given by the frequency regulation market and the excess energy sold on the spot market. An economic assessment of ESS while providing primary frequency regulation (and also peak shaving services) is also addressed in [18]. An optimization problem is formulated for the isolated electrical islands in Spain's archipelagos, which contain an important share of renewable generation.…”

Section: Introductionmentioning

confidence: 99%

Methodology for the economic optimisation of energy storage systems for frequency support in wind power plants

et al. 2015

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This paper proposes a methodology for the economic optimisation of the sizing of Energy Storage Systems (ESSs) whilst enhancing the participation of Wind Power Plants (WPP) in network primary frequency control support. A generalised approach was taken for the design of the methodology, so it can be applied to different energy markets and concerning different ESSs. The methodology includes the formulation and solving of a Linear Programming (LP) problem.The methodology was applied to the particular case of a 50 MW WPP, equipped with Vanadium Redox Flow battery (VRB) in the UK energy market. Analysis is performed considering real data on the regular and frequency response markets of UK. Data for wind power generation and energy storage costs are estimated from literature.Results suggest that, under certain assumptions, ESSs can be profitable for the operator of a WPP that is providing frequency response. The ESS provides power reserves such that the WPP can generate close to the maximum energy available. The solution of the optimisation problem establishes that an ESS with a power rating of 5.3 MW and energy capacity of about 3 MWh would be enough to provide such service whilst maximizing the incomes for the WPP operator considering the regular and frequency regulation UK markets.Methodology for the economic optimisation of energy storage systems for frequency support in wind power plants Abstract This paper proposes a methodology for the economic optimisation of the sizing of Energy Storage Systems (ESSs) whilst enhancing the participation of Wind Power Plants (WPP) in network primary frequency control support. A generalised approach was taken for the design of the methodology, so it can be applied to different energy markets and concerning different ESSs. The methodology includes the formulation and solving of a Linear Programming (LP) problem.The methodology was applied to the particular case of a 50 MW WPP, equipped with Vanadium Redox Flow battery (VRB) in the UK energy market. Analysis is performed considering real data on the regular and frequency response markets of UK. Data for wind power generation and energy storage costs are estimated from literature.Results suggest that, under certain assumptions, ESSs can be profitable for the operator of a WPP that is providing frequency response. The ESS provides power reserves such that the WPP can generate close to the maximum energy available. The solution of the optimisation problem establishes that an ESS with a power rating of 5.3 MW and energy capacity of about 3 MWh would be enough to provide such service whilst maximizing the incomes for the WPP operator considering the regular and frequency regulation UK markets.

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Energy storage systems providing primary reserve and peak shaving in small isolated power systems: An economic assessment

Cited by 108 publications

References 21 publications

A MILP model for optimising multi-service portfolios of distributed energy storage

A MILP model for optimising multi-service portfolios of distributed energy storage

An improved particle swarm optimisation algorithm applied to battery sizing for stand-alone hybrid power systems

Methodology for the economic optimisation of energy storage systems for frequency support in wind power plants

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