Trading wind generation in short term energy markets

By G. Bathurst, J. Weatherill, Goran Strbac. 2002

345 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/e334156cc2f90a8b02e5abcff20a8dba4f924627

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

In Electrical and Electronic Engineering

Citations in the corpus

Opportunity Cost Bidding by Wind Generators in Forward Markets: Analytical Results (2011, background): “Reference [5] introduced the concept of optimizing the forward market bid based on imbalance costs, in both risk-neutral and risk-averse formulations.”
Trading Wind Generation From Short-Term Probabilistic Forecasts of Wind Power (2007, neutral): “Note that this assumption is implicit in the developments carried out in [8] and [9], while it is explicitly formulated in [6].”
Strategic Offering for a Wind Power Producer (2013, methodology): “References [7] and [8] present models to reduce imbalance costs, using a Markov model and stochastic programming, respectively.”
A new self-scheduling strategy for integrated operation of wind and pumped-storage power plants in power markets (2011, background): “In [4], an offering strategy for wind power producers under New Electricity Trading Arrangements (NETA) rules is proposed, allowing participants to offer only a few hours before the operation time.”
Whole-Systems Assessment of the Value of Energy Storage in Low-Carbon Electricity Systems (2014, background): “Previous research on the value of storage for integrating intermittent renewable generators mostly focused on the capability of storage to perform arbitrage [1] or provide reserve [2] in systems characterised by high penetration of intermittent generation.”
Pool Strategy of a Price-Maker Wind Power Producer (2013, methodology): “Another analytical approach is proposed in [7], where the optimal bid is chosen in a discrete decision space, and the uncertainty in wind power production is modeled using probability tables.”
Wind Farms as Reactive Power Ancillary Service Providers—Technical and Economic Issues (2009, background): “In the context of deregulation of the electricity sector, the market dispatch aspect of wind turbine generators and their role have also been studied [5], [6].”
Combined hydro-wind generation bids in a pool-based electricity market (2009, background): “Constraint (8) sets the upper discharge limit of each block of the piecewise linear curve.”
On the market impact of wind energy forecasts (2010, background): “Some efforts have been made to optimise the bidding of wind energy into deregulated electricity markets based on these forecasts, and in some cases on information about their situation-dependent uncertainty as well (Pinson et al., 2007; Matevosyan and Söder, 2006; Bathurst et al., 2002).”
Quantifying the Total Net Benefits of Grid Integrated Wind (2007, background): “Details on the most optimal way for wind generators to participate in the market in order to maximise pro fit and minimise risk is shown in [22] [23].”
Optimal electricity market for wind power (2004, neutral): “Market design can also change the bidding strategy from simply minimising the error in energy (Bathurst et al., 2002; Nielsen and Ravn, 2003).”
Bringing Wind Energy to Market (2012, background): “A scenario-based stochastic programming approach to numerically compute DA contract offers that maximize expected profit in a two-settlement market setting is studied in [3], [29], and [31].”
Wind Power Trading Under Uncertainty in LMP Markets (2012, methodology): “Some methods to address the problem have been proposed in the literature [4]–[11].”
Coordinated Trading of Wind and Thermal Energy (2011, background): “In [4]–[7], stochastic models have been developed to optimally bid into the electricity market.”
Rolling Optimization of Wind Farm and Energy Storage System in Electricity Markets (2015, background): “So intraday rebidding is beneficial to both WFs and system operation [11], [12].”
Combining hydro-generation and wind energy: Biddings and operation on electricity spot markets (2007, background): “The revenue of a WGENCO is the difference between the revenues for the energy sold and the penalty paid for the incurred imbalance [9].”
Increased Wind Revenue and System Security by Trading Wind Power in Energy and Regulation Reserve Markets (2011, background): “[9] propose an optimal bidding strategy by assuming that the wind production time series is a Markov process, while others use probabilistic wind forecasts to design optimal biding strategies [10]–[15].”