A taxonomy for modeling flexibility and a computationally efficient algorithm for dispatch in Smart Grids

Petersen, Mette; Edlund, Kristian; Hansen, Lars Henrik; Bendtsen, Jan Dimon; Stoustrup, Jakob

doi:10.1109/acc.2013.6579991

Cited by 69 publications

(49 citation statements)

References 16 publications

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“…An extensive description of characteristics of demand side flexibility beyond residential flexibility is given by Petersen et al (2013). The authors also develop a first taxonomy for flexibility but chose not to incorporate a variety of characteristics of flexibility (Petersen et al 2014).…”

Section: Related Workmentioning

confidence: 99%

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A comprehensive modelling framework for demand side flexibility in smart grids

et al. 2017

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The increasing share of renewable energy generation in the electricity system comes with significant challenges, such as the volatility of renewable energy sources. To tackle those challenges, demand side management is a frequently mentioned remedy. However, measures of demand side management need a high level of flexibility to be successful. Although extensive research exists that describes, models and optimises various processes with flexible electrical demands, there is no unified notation. Additionally, most descriptions are very process-specific and cannot be generalised.In this paper, we develop a comprehensive modelling framework to mathematically describe demand side flexibility in smart grids while integrating a majority of constraints from different existing models. We provide a universally applicable modelling framework for demand side flexibility and evaluate its practicality by looking at how well Mixed-Integer Linear Program (MIP) solvers are able to optimise the resulting models, if applied to artificially generated instances. From the evaluation, we derive that our model improves the performance of previous models while integrating additional flexibility characteristics.

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Section: Related Workmentioning

confidence: 99%

“…Our objective is to design a holistic modelling framework to schedule demand side flexibility. Extensive research has been done discussing DSM applications from a scheduling perspective (e. g. Petersen et al 2013), because it can make a significant contribution to the cost-efficient integration of renewable generation (Steurer et al 2015).…”

Section: Introductionmentioning

confidence: 99%

A comprehensive modelling framework for demand side flexibility in smart grids

et al. 2017

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“…In general, integration of flexible loads can be characterized as a cost minimization problem with appropriate constraints reflecting flexibility endowment and technical characteristics (Petersen et al 2013). Depending on the underlying electricity consumer, load flexibility can come along in very different flavors, e.g., temporal flexibility (load shifting), different intensity levels (load curtailment) or interruption (load shedding).…”

Section: Flexible Loadmentioning

confidence: 99%

Price-based load coordination revisited: augmenting open-loop coordination approaches

Flath

Gottwalt

2016

Bus Res

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The activation of flexible loads through demand side management offers opportunities for more efficient power systems operations. Price-based incentive are a straight-forward form for decentral coordination of these flexible loads. However, their applicability has recently been seen more pessimistic as they may induce new load peaks due to herding effects. We revisit these results by characterizing desynchronized posted pricing approaches. Illustrating highly flexible load by means of electric vehicle charging, we show that these desynchronized rate can mitigate the occurrence of extreme load spikes, improve the utilization of renewable generation and in summary create significant system cost savings. Our results show that simple open-loop pricing can almost match the efficiency of closed-loop adaptive pricing in settings with limited system flexibility. We find that the more renewable generation and flexible load are present in the system, the better more complex pricing schemes fare compared to simple ones. This insight may guide regulators and utilities in establishing more effective pricing schemes in retail electricity markets.

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“…Our case studies are a supermarket refrigeration system and a chiller equipped with ice storage. The general setup in this paper is similar to Petersen et al [2013]. In that work, a direct control VPP is introduced which has the task of providing power to a portfolio of flexible consumers.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Aggregators for Integration of Large-scale Consumers in Smart Grid

Rahnama¹,

Shafiei²,

Stoustrup³

et al. 2014

IFAC Proceedings Volumes

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Utilization of consumers to mitigate the impact of increasing renewable resources on power systems is one of the visions of future smart grids. Flexible consumers are consumers who can change their consumption patterns in such a way as to help the grid to tackle the balancing problem. In previous work, we proposed a hierarchical structure to provide regulating power to the grid by just utilizing the consumption units. The main focus of that work was on designing a centralized controller, a so-called aggregator, which is responsible for aggregating the flexibilities in an optimal way. To accomplish the optimization, the aggregator requires a model which describes the behavior of each consumption unit. These models should be sufficiently simple to be used in the optimization task. However, simple models might not capture all dynamics and features of the real system. In this paper, we will evaluate the proposed setup to understand to what extent the utilization of simplified models can lead to reasonable results. To this end, we will connect the aggregator to a complex and verified model of an actual supermarket refrigeration system which enables us to investigate the closed-loop behavior of the whole set-up.

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A taxonomy for modeling flexibility and a computationally efficient algorithm for dispatch in Smart Grids

Cited by 69 publications

References 16 publications

A comprehensive modelling framework for demand side flexibility in smart grids

A comprehensive modelling framework for demand side flexibility in smart grids

Price-based load coordination revisited: augmenting open-loop coordination approaches

Evaluation of Aggregators for Integration of Large-scale Consumers in Smart Grid

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