Constructing bidding curves for a price-taking retailer in the norwegian electricity market

By Stein-Erik Fleten, Erling Pettersen. IEEE Transactions on Power Systems, 2005

240 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/1dc08bdcbf85f811018a35f8b32ddfbcd23826db

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In Electrical and Electronic Engineering

Citations in the corpus

Optimal Demand-Side Bidding Strategies in Electricity Spot Markets (2012, background): “For example in [3], [4], [11], and [16], the strategy of a price taker is optimized given market prices forecasts, thus ignoring market price changes due to its own cleared energy.”
Optimization of Electricity Retailer's Contract Portfolio Subject to Risk Preferences (2010, background): “In this journal, this topic has been considered from the generator side by [44] and [45] and in a retailer setting by [46]–[ 49 ].”
Strategic Bidding for a Large Consumer (2015, background): “Reference [7] considers a retailer view in Nord Pool and derives piecewise bidding curves using stochastic linear programming.”
Electric energy storage systems in a market-based economy: Comparison of emerging and traditional technologies (2009, background): “Also, the probabilities of regulation-up and regulation-down states are considered as 40% and 35% respectively, which seems to be rational assumptions [26].”
Bidding Strategy for Microgrid in Day-Ahead Market Based on Hybrid Stochastic/Robust Optimization (2016, background): “A stochastic linear programming model with scenarios for day-ahead and balancing market prices and load prediction errors is proposed for a small price taker agent’s strategy [27].”
Forward Contracting and Selling Price Determination for a Retailer (2007, background): “[ 15 ] addresses the complementary problem of determining optimal pool bidding strategies for a retailer.”
Modeling Real-Time Balancing Power Market Prices Using Combined SARIMA and Markov Processes (2008, methodology): “Historical time series can instead be used, as, e.g., in [ 14 ], but the number of representative scenarios are thereby limited.”
A new self-scheduling strategy for integrated operation of wind and pumped-storage power plants in power markets (2011, background): “05, and probabilities of being in regulation-up and regulation-down states are considered p r 1⁄4 0:4 and pdown r 1⁄4 0:35, respectively [32].”
Prosumer bidding and scheduling in electricity markets (2016, background): “[20] covers the bidding process for a retailer in the Norwegian electricity market.”
A Bilevel Stochastic Programming Approach for Retailer Futures Market Trading (2009, background): “Reference [7] addressed the related problem of determining optimal pool bidding strategies for a retailer.”