Smart Load Management with Energy Storage for Power Quality Enhancement in Wind-Powered Oil and Gas Applications

Alves, Erick Fernando; Sánchez, Santiago; Brandão, Danilo I.; Tedeschi, Elisabetta

doi:10.3390/en12152985

Cited by 19 publications

(13 citation statements)

References 27 publications

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“…Adding the possibility of energy storage to the equation could be extremely helpful to smooth the irregular contribution of wind power. Alves et al (2019) corroborated this hypothesis by investigating power quality issues in a wind-powered offshore oil and gas platform operating in island mode with energy storage.…”

Section: Introductionmentioning

confidence: 74%

“…Note that voltage stability is ignored in this surrogate model. This is justified by the following facts: 1) in offshore installations, voltage dynamics typically have a negligible effect on the sizing of the process equipment (Alves et al, 2019); 2) voltage stability can be improved by control strategies (Årdal et al, 2012;Sanchez et al, 2017;Alves et al, 2019); 3) voltage stability analysis requires complex dynamic simulations with long solve times, what may render the overall optimization procedure intractable (Alves et al, 2019).…”

Section: Electric Grid Modelmentioning

confidence: 99%

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Optimal Design of a Hybrid Energy System for the Supply of Clean and Stable Energy to Offshore Installations

et al. 2020

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This paper presents an innovative hybrid energy system for stable power and heat supply in offshore oil and gas installations. The proposed concept integrates offshore wind power, onsite gas turbines and an energy storage system based on fuel cell and electrolyzer stacks. It is expected to be an effective option to decarbonize the offshore petroleum sector as it allows a more extensive exploitation of the offshore wind resource by means of energy storage. To ascertain its potential, an integrated model was developed. The integrated model allows to simulate the process and electric grid performances. The inclusion of both domains provides a comprehensive picture of a given design operational performance. The feasibility of the proposed concept was first investigated through a parametric analysis where an understanding of its potential and limitations was gained. A rigorous optimization was then implemented to identify the designs resulting in the best performances and ultimately to obtain a comprehensive picture of the suitability of the concept. It is shown that a well-designed system can reduce carbon emissions compared, not only to a standard concept based on gas turbines (almost 1,300 kt less CO2 emissions, making up for a relative 36% reduction), but also to the integration of a wind farm alone (more than 70 kt less CO2 emissions, making up for a relative 3% reduction, but complying with grid dynamics requirements). Moreover, the energy storage system brings benefits to the electric grid stability and allows the integration of large wind power capacity without overpassing the 2% maximum frequency variation (as it is the case without energy storage). Not least, the optimization showed that the definition of an optimal design is a complex task, with little margin to further gains in terms of carbon emissions, likely due to technological limitations.

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Section: Introductionmentioning

confidence: 74%

Section: Electric Grid Modelmentioning

confidence: 99%

Optimal Design of a Hybrid Energy System for the Supply of Clean and Stable Energy to Offshore Installations

et al. 2020

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“…The frequency deviation can be simulated to evaluate the minimal battery capacity required to satisfy the power quality criteria. This method is employed in several studies such as (37). Figure 6 shows the power system model.…”

Section: Battery Sizing Proceduresmentioning

confidence: 99%

On the relationship between battery power capacity sizing and solar variability scenarios for industrial off-grid power plants

Polleux

Schuhler²,

Guérassimoff³

et al. 2021

Applied Energy

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Due to its high short-term variability, solar-photovoltaic power in isolated industrial grids faces a challenge of grid reliability. Storage systems can provide grid support but come at a high cost that requires carefully evaluating power capacity needs. Battery sizing methodologies are now the focus of many studies, with a global upward trend in detailed modelling and complex optimization. However, although solar variability can be the source of uncertainties and battery oversizing, it rarely features as an input in scenarios. This study proposes several solar variability scenarios thanks to the wavelet-variability model and two variability metrics. These scenarios are employed as inputs in two sizing methodologies to compare the resulting battery capacity and draw conclusions on the role of modelling complexity and scenario identification. Results show that neglecting the photovoltaic power plant smoothing effect leads to an overestimation of the battery power support of 51%. In the other hand, complex dynamic modelling may reduce the battery power capacity by 25%. The economic analysis shows that a proper combination of variability scenario and battery sizing methodology may reduce the levelized costs of electricity by 3%. Highlights• Modelling photovoltaic plant geographical smoothing avoids over-investments.• Identifying variability scenarios is crucial to ensure continuity of supply.• Combining ramp-detection and variability index spares the use of day-long timeseries.

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“…In addition, this system time constant is large (minutes) when compared to the electrical system dynamics (seconds). This concept is explored in detail by DNV-GL (2016); Sanchez et al (2017); and Alves et al (2019).…”

Section: Case Study: a Wind-powered Offshore Platform In The North Seamentioning

confidence: 99%

Sizing of Hybrid Energy Storage Systems for Inertial and Primary Frequency Control

Alves¹,

Mota²,

Tedeschi³

2021

Front. Energy Res.

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The exponential rise of renewable energy sources and microgrids brings about the challenge of guaranteeing frequency stability in low-inertia grids through the use of energy storage systems. This paper reviews the frequency response of an ac power system, highlighting its different time scales and control actions. Moreover, it pinpoints main distinctions among high-inertia interconnected systems relying on synchronous machines and low-inertia systems with high penetration of converter-interfaced generation. Grounded on these concepts and with a set of assumptions, it derives algebraic equations to rate an energy storage system providing inertial and primary control. The equations are independent of the energy storage technology, robust to system nonlinearities, and rely on parameters that are typically defined by system operators, industry standards, or network codes. Using these results, the authors provide a step-by-step procedure to size the main components of a converter-interfaced hybrid energy storage system. Finally, a case study of a wind-powered oil and gas platform in the North Sea demonstrates with numerical examples how the proposed methodology 1) can be applied in a practical problem and 2) allows the system designer to take advantage of different technologies and set specific requirements for each storage device and converter according to the type of frequency control provided.

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Smart Load Management with Energy Storage for Power Quality Enhancement in Wind-Powered Oil and Gas Applications

Cited by 19 publications

References 27 publications

Optimal Design of a Hybrid Energy System for the Supply of Clean and Stable Energy to Offshore Installations

Optimal Design of a Hybrid Energy System for the Supply of Clean and Stable Energy to Offshore Installations

On the relationship between battery power capacity sizing and solar variability scenarios for industrial off-grid power plants

Sizing of Hybrid Energy Storage Systems for Inertial and Primary Frequency Control

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