Bidding strategies for renewable energy generation with non stationary statistics

Giannitrapani, Antonio; Paoletti, Simone; Vicino, Antonio; Zarrilli, Donato

doi:10.3182/20140824-6-za-1003.01268

Cited by 9 publications

(7 citation statements)

References 14 publications

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“…An optimal bidding strategy recognizing the imbalance penalty and allowed imbalance band has been discussed in [15]. Further, two different approaches for tuning the optimal bidding strategy to account the fluctuations of the generated power has been discussed in [7]. The study shows that, with the proposed approaches energy producer can increase their revenue by up to 28.7%.…”

Section: Introductionmentioning

confidence: 94%

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Evaluating the Value of Flexibility in Energy Regulation Markets

Neupane

Pedersen

Thiesson

2015

Proceedings of the 2015 ACM Sixth International Conference on Future Energy Systems

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In this paper, we perform an econometric analysis on the benefits of introducing flexibility in the Danish/Nordic regulating power market. The paper investigates the relationships between market power prices and regulation volumes, in order to quantify the effects of flexibility on regulating power prices. Further, we analyze the benefit for various types of flexibility and market objectives, to detect the type of energy flexibility that maximizes the benefits. Results show that if 3.87% of total demand is flexible, the market can reduce the regulation cost by 49% and the regulation volume by 29.4%.

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Section: Introductionmentioning

confidence: 94%

“…Further, various optimization techniques for bidding strategies considering the imbalance penalty has been studied in [7] [15] [3]. An optimal bidding strategy recognizing the imbalance penalty and allowed imbalance band has been discussed in [15].…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Value of Flexibility in Energy Regulation Markets

Neupane

Pedersen

Thiesson

2015

Proceedings of the 2015 ACM Sixth International Conference on Future Energy Systems

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“…The quadratic energy penalty f e , defined in (3), is applied to the deviations from the nominations. This formulation considers the nominations e t and the exports e t in the objective function J D to minimize…”

Section: A Deterministic Formulationmentioning

confidence: 99%

Stochastic and deterministic formulations for capacity firming nominations

Dumas

Cornélusse

Giannitrapani

et al. 2020

2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)

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This paper addresses the energy management of a grid-connected photovoltaic plant coupled with a battery energy storage device, within the capacity firming specifications of the French Energy Regulatory Commission. The paper contributions are positioned in the continuity of the studies adopting stochastic models for optimizing the bids of renewable energy sources in a day-ahead market by considering a storage device. The proposed deterministic and stochastic approaches are optimization problems formulated as quadratic problems with linear constraints. The case study is a real microgrid with PV production monitored on site. The results demonstrate the validity of the stochastic formulation by using an ideal predictor that produces unbiased PV scenarios.

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“…Non-dispatchable ReEn sources, like WEn, are challenging for managing the bids in an EMar due to the Uncer in the unavailability of the ReEn, implying eventual FiPen for energy Imb [6]. So, the eventual deviations (Dev) and consequently penalty of Imb has to be considered.…”

Section: State Of the Artmentioning

confidence: 99%

“…However, the remuneration depends on the conformity achieved on the level of the real deliver with the accepted value of the bid at the closing of the EMar. If no conformity is revealed, economic penalization for imbalances (Imb) is due to happen [6].…”

Section: Introductionmentioning

confidence: 99%