Unified System-Level Modeling of Intermittent Renewable Energy Sources and Energy Storage for Power System Operation

Heussen, Kai; Koch, Stephan; Ulbig, Andreas; Andersson, Göran

doi:10.1109/jsyst.2011.2163020

Cited by 133 publications

(65 citation statements)

References 28 publications

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“…At a European scale, the authors of [2,15,24] show how to use model predictive control to update day-ahead production schedule and mitigate energy curtailments. The use of storage can also compensate for forecast uncertainties.…”

Section: Related Workmentioning

confidence: 99%

Impact of storage on the efficiency and prices in real-time electricity markets

Gast

Boudec

Proutière

et al. 2013

Proceedings of the Fourth International Conference on Future Energy Systems

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We study the effect of energy-storage systems in dynamic real-time electricity markets. We consider that demand and renewable generation are stochastic, that real-time production is affected by ramping constraints, and that market players seek to selfishly maximize their profit. We distinguish three scenarios, depending on the owner of the storage system: (A) the supplier, (B) the consumer, or (C) a stand-alone player. In all cases, we show the existence of a competitive equilibrium when players are price-takers (they do not affect market prices). We further establish that under the equilibrium price process, players' selfish responses coincide with the social welfare-maximizing policy computed by a (hypothetical) social planner. We show that with storage the resulting price process is smoother than without.We determine empirically the storage parameters that maximize the players' revenue in the market. In the case of consumer-owned storage, or a stand-alone storage operator (scenarios B and C), we find that they do not match socially optimal parameters. We conclude that consumers and the stand-alone storage operator (but not suppliers) have an incentive to under-dimension their storage system. In addition, we determine the scaling laws of optimal storage parameters as a function of the volatility of demand and renewables. We show, in particular, that the optimal storage energy capacity scales as the volatility to the fourth power.

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Section: Related Workmentioning

confidence: 99%

Impact of storage on the efficiency and prices in real-time electricity markets

Gast

Boudec

Proutière

et al. 2013

Proceedings of the Fourth International Conference on Future Energy Systems

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“…Several solutions that aim to increase RES integration have been proposed in the literature, which resort to deferrable loads [22], appropriate ESSs [23][24][25][26][27] or V2G technology [6,23,28,29]. This last solution appears to be very promising, as shown in Fig.…”

Section: Renewable Energy Sources Exploitationmentioning

confidence: 99%

Vehicle-to-Grid Technology: State-of-the-Art and Future Scenarios

Damiano¹,

Gatto²,

Marongiu³

et al. 2014

JEPE

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An overview of V2G (vehicle-to-grid) technology is presented in this paper. It aims to highlight the main features, opportunities and requirements of V2G. Thus, after briefly resuming the most popular charging strategies for PEVs (plug-in electric vehicles), the V2G concept is introduced, especially highlighting its potentiality as a revenue opportunity for PEV owners; this is mainly due to the V2G ability to provide ancillary services, such as load leveling, regulation and reserve. Such solutions have been thoroughly investigated in the literature from both the economic and technical points of view and are here reported. In addition, V2G requirements such as mobility needs, charging stations availability and appropriate PEV aggregative architectures are properly taken into account. Finally, future developments and scenarios have also been reported.

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“…The relation between the power consumption u and the stored energy x is described by the difference equation (see, e.g., [23])…”

Section: A Generators and Demand Side Unitsmentioning

confidence: 99%

Predictive control of demand side units participating in the primary frequency reserve market

Biegel

Stoustrup

Andersen

2013

2013 American Control Conference

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Abstract-We consider an aggregator controlling a mixed portfolio of conventional power generators and demand side units. The generators are controllable within certain power and ramp limitations while the demand side units are characterized by flexible consumptions and therefore can be treated as energy storages of limited capacity. We address the problem of reducing the load on the conventional generators by letting the flexible consumers participate in the provision of primary frequency reserve. In particular, it is desired that the flexible consumers compensate for rapid grid frequency changes. In this work, we design an aggregator control strategy based on closed-loop model predictive control. The controller is able to mobilize the flexible consumers ahead of time such that we are able to reduce the load on the conventional generators by more extensive use of the demand side units.

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Unified System-Level Modeling of Intermittent Renewable Energy Sources and Energy Storage for Power System Operation

Cited by 133 publications

References 28 publications

Impact of storage on the efficiency and prices in real-time electricity markets

Impact of storage on the efficiency and prices in real-time electricity markets

Vehicle-to-Grid Technology: State-of-the-Art and Future Scenarios

Predictive control of demand side units participating in the primary frequency reserve market

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