Optimizing demand-side bids in day-ahead electricity markets

By Andy Philpott, Erling Pettersen. IEEE Transactions on Power Systems, 2006

130 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/3f61cac3b683e36f7141b168cd8b3771b3122394

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In Electrical and Electronic Engineering

Citations in the corpus

Combined Operations of Renewable Energy Systems and Responsive Demand in a Smart Grid (2011, background): “ODAY, the integration of large amounts of renewable energy systems (RESs) with the grid [1]–[6] is widely studied by many researchers, but only few of them address these problems in connection with a consumers’ potential participation to the electricity market [7]–[ 9 ], or analyze the additional ba”
Pool-Based Demand Response Exchange—Concept and Modeling (2011, background): “This strategy is referred to as stochastic demand bidding [6].”
Real-time economic dispatch for the supply side of the energy-water nexus (2014, background): “It serves to commit resources, and set approximate generation levels and prices for the 24 h of the following day based upon demand bids, generation offers, and scheduled bilateral transactions [60–71].”
Decentralized charging control for large populations of plug-in electric vehicles (2010, background): “Some game theoretic work has been done to understand demand-side behavior in the face of dynamic pricing tariffs, primarily in the context of demand aggregators [22], [23].”
Strategic Bidding for a Large Consumer (2015, background): “Also considering the Nord Pool market, [8] analyzes the purchase of electricity in the Norwegian zone and establishes analytical conditions to derive optimal bidding curves.”
Optimal Demand-Side Bidding Strategies in Electricity Spot Markets (2012, background): “Equilibrium models are developed in [20], where the conditions under which a purchaser should bid his expected demand are analyzed.”
Bidding Strategy for Microgrid in Day-Ahead Market Based on Hybrid Stochastic/Robust Optimization (2016, background): “A game-theoretic assessment of how a large buyer with market power should adapt to an electricity pool market with a day-ahead structure is found in [28].”
Constructing bidding curves for a price-taking retailer in the norwegian electricity market (2005, background): “A game-theoretic assessment of how a large buyer with market power should adapt to an electricity pool market with a day-ahead structure is found in [5].”
Advanced Demand Side Management for the Future Smart Grid Using Mechanism Design (2012, background): “The dispatch of the power is then balanced in real-time on the day of dispatch [30], [31].”
Real-Time Demand Response Model (2010, background): “sufficiently large to participate in the electricity markets to minimize its energy procurement costs (see, for instance, [17]–[19] and the references therein).”
Optimal Allocation of Energy Storage System for Risk Mitigation of DISCOs With High Renewable Penetrations (2014, background): “Firstly, DISCOs sign one-hour forward bilateral contract with GENCOs [4] or make day-ahead biddings against suppliers’ offers [5], [6] to cover majority of estimated demand.”
Optimal Bidding, Scheduling, and Deployment of Battery Systems in California Day-Ahead Energy Market (2016, unknown): “Rather, the focus is onmarket participation of conventional generators [17], renewable generators [18], and loads [19], [20].”