2017
DOI: 10.3390/en10111778
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Energy and Reserve under Distributed Energy Resources Management—Day-Ahead, Hour-Ahead and Real-Time

Abstract: Abstract:The increasing penetration of distributed energy resources based on renewable energy sources in distribution systems leads to a more complex management of power systems. Consequently, ancillary services become even more important to maintain the system security and reliability. This paper proposes and evaluates a generic model for day-ahead, intraday (hour-ahead) and real-time scheduling, considering the joint optimization of energy and reserve in the scope of the virtual power player concept. The mod… Show more

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Cited by 11 publications
(4 citation statements)
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References 34 publications
(51 reference statements)
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“…Virtual Power Plants and aggregation of flexibilities in higher levels for market participation (i.e., in balancing market) and provision of ancillary services through DER has been foreseen in [8,9]. In several European countries already, flexible loads are incentivized in order to defer network investments or decrease congestions by load shifting [1].…”
Section: Introductionmentioning
confidence: 99%
“…Virtual Power Plants and aggregation of flexibilities in higher levels for market participation (i.e., in balancing market) and provision of ancillary services through DER has been foreseen in [8,9]. In several European countries already, flexible loads are incentivized in order to defer network investments or decrease congestions by load shifting [1].…”
Section: Introductionmentioning
confidence: 99%
“…Off-design performances of the considered plant layouts were evaluated by means of a typical year of operation and off-design changes in thermodynamic performances of the power plant components. The model considers a random availability of solar source, which is important when considering the generation from renewable sources [36]. The WtE plant part was maintained at the design parameters.…”
Section: Modeling Approachmentioning
confidence: 99%
“…However, the very dynamic evolution of electrical grids, mainly due to the development of smart grid technologies, has caused that the traditional formulations, which were designed for different scenarios, sometimes cannot deal with the problem efficiently. Challenges in the management of energy resources have been recently identified [2], [3], [4]. Common issues have been consistently highlighted concerning, namely the growing complexity of a large number of distributed energy resources, the increase of electric vehicles (EVs) penetration and the increase of sources of uncertainty.…”
Section: Introductionmentioning
confidence: 99%
“…The limitations of those traditional deterministic approaches are that they cannot efficiently incorporate nonlinear functions (e.g., generator quadratic function, AC power flow, and other complex conditions or resources constraints), a large number of resources and considerable accuracy of uncertainty representation (e.g., the number of scenarios in stochastic models). Also, due to different legal aspects of energy markets all over the world, the proposed ERM models do not consider the same business model which adds up more complexity to this research field [3].…”
Section: Introductionmentioning
confidence: 99%