Assessing power system security. A framework and a multi model approach

Deane, Paul; Gracceva, Francesco; Chiodi, Alessandro; Gargiulo, Maurizio; Gallachóir, Brian P. Ó

doi:10.1016/j.ijepes.2015.04.020

Cited by 57 publications

(25 citation statements)

References 15 publications

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“…A number of studies used a uni-directional soft-link to analyse the impact of the limited level of temporal and technical detail typically used in ESOMs [10,19,69]. In addition, this approach has been applied in a number of studies to scrutinise energy system model results [67,70,71]. In [71], a soft-link between a MARKAL model of the Netherlands and REPOWERS is used to assess flexibility sufficiency, quantify the impact of part-load efficiency losses and assess the profitability of power plants in scenarios for the evolution of the Dutch power system.…”

Section: State Of the Art Methodologiesmentioning

confidence: 99%

Integrating short term variations of the power system into integrated energy system models: A methodological review

Collins

Deane

Poncelet

et al. 2017

Renewable and Sustainable Energy Reviews

231

145

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It is anticipated that the decarbonisation of the entire energy system will require the introduction of large shares of variable renewable electricity generation into the power system. Long term integrated energy systems models are useful in improving our understanding of decarbonisation but they struggle to take account of short term variations in the power system associated with increased variable renewable energy penetration. This can oversimplify the ability of power systems to accommodate variable renewables and result in mistaken signals regarding the levels of flexibility required in power systems. Capturing power system impacts of variability within integrated energy system models is challenging due to temporal and technical simplifying assumptions needed to make such models computationally manageable. This paper addresses a gap in the literature by reviewing prominent methodologies that have been applied to address this challenge and the advantages & limitations of each. The methods include soft linking between integrated energy systems models and power systems models and improving the temporal and technical representation of power systems within integrated energy systems models. Each methodology covered approaches the integration of short term variations and assesses the flexibility of the system differently. The strengths, limitations, and applicability of these different methodologies are analysed. This review allows users of integrated energy systems models to select a methodology (or combination of methodologies) to suit their needs. In addition, the analysis identifies remaining gaps and shortcomings.

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Section: State Of the Art Methodologiesmentioning

confidence: 99%

Integrating short term variations of the power system into integrated energy system models: A methodological review

Collins

Deane

Poncelet

et al. 2017

Renewable and Sustainable Energy Reviews

231

145

View full text Add to dashboard Cite

show abstract

“…The adequacy is related to the existence of sufficient generation of the electric power system to comply the consumer demand. Meanwhile, the security is related to the ability of power system to respond to the transients and disturbances that occur in the system [8]. Failure is an inability of a part or equipment to carry out its specified function.…”

Section: Failure Analysis In a Power System And Assessment Methodsmentioning

confidence: 99%

Condition assessment of power transformers status based on moisture level using fuzzy logic techniques

Rexhepi

Nakov

2018

J. Mechatron. Electr. Power Veh. Technol.

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Power transformers are one of the most expensive components; therefore the focus on their status and its continuous operation is the primary task. In the power systems, condition assessment of performance and reliability is based on the state of components, measurements, testing, and maintenance as well as their diagnosis. Hence, condition assessment of power transformer parameters is important regarding their status and finding incipient failures. Among many factors, the most factors that affect the safe operation and life expectancy of the transformer is the moisture in oil. It is known that the low moisture oil in power transformers causes many problems including electrical breakdown, increase the amount of partial discharge, decreases the dielectric withstand strength and other phenomena. Thus, knowledge about the moisture concentration in a power transformer is significantly important for safe operation and lifespan. In this study, moisture level in oil is estimated, and its status classification is proposed by using fuzzy logic techniques for the power transformer monitoring and condition assessment. Moreover, the goal of the study is to find methods and techniques for the condition assessment of power transformers status based on the state of moisture in oil using the fuzzy logic technique. These applied techniques increase the power system reliability, help to reduce incipient failures and give the better maintenance plan using an algorithm based on logic rules. Also, by using the fuzzy logic techniques, it is easier to prevent failures which may have consequences not only for transformers but also for the power system as a whole.

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“…Attempts in tackling complexity have been made by applying models in a consecutive or interactive manner. For instance, Deane et al [18,19] soft-link an energy system model with a dedicated power system model. Similarly, Trepper et al [20] present an integrated approach to assess potential benefits of market splitting in Germany by connecting a European dispatch model to a detailed unit commitment scheduling model.…”

Section: Complexitymentioning

confidence: 99%

“…Several approaches for handling some of these challenge exist. Those range from addressing uncertainty [5], integrated modelling [17], model-linking [18][19][20] to transparent modelling [11,21].…”

Section: Introductionmentioning

confidence: 99%

Addressing Energy System Modelling Challenges: The Contribution of the Open Energy Modelling Framework (oemof)

Hilpert¹,

Günther²,

Kaldemeyer³

et al. 2017

Preprint

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These authors contributed equally to this work. AbstractThe process of modelling energy systems is accompanied by challenges inherently connected with mathematical modelling. However, due to modern realities in the 21st century, existing challenges are gaining in magnitude and are supplemented with new ones. Modellers are confronted with a rising complexity of energy systems and high uncertainties on different levels. In addition, interdisciplinary modelling is necessary for getting insight in mechanisms of an integrated world. At the same time models need to meet scientific standards as public acceptance becomes increasingly important. In this intricate environment model application as well as result communication and interpretation is also getting more difficult.In this paper we present the open energy modelling framework (oemof) as a novel approach for energy system modelling and derive its contribution to existing challenges. Therefore, based on literature review, we outline challenges for energy system modelling as well as existing and emerging approaches. Based on a description of the philosophy and elementary structural elements of oemof, a qualitative analysis of the framework with regard to the challenges is undertaken. Inherent features of oemof such as the open source, open data, non-proprietary and collaborative modelling approach are preconditions to meet modern realities of energy modelling. Additionally, a generic basis with an object-oriented implementation allows to tackle challenges related to complexity of highly integrated future energy systems and sets the foundation to address uncertainty in the future. Experiences from the collaborative modelling approach can enrich interdisciplinary modelling activities.Our analysis concludes that there are remaining challenges that can neither be tackled by a model nor a modelling framework. Among these are problems connected to result communication and interpretation.

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Assessing power system security. A framework and a multi model approach

Cited by 57 publications

References 15 publications

Integrating short term variations of the power system into integrated energy system models: A methodological review

Integrating short term variations of the power system into integrated energy system models: A methodological review

Condition assessment of power transformers status based on moisture level using fuzzy logic techniques

Addressing Energy System Modelling Challenges: The Contribution of the Open Energy Modelling Framework (oemof)

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