The Value of Coordination in Multimarket Bidding of Grid Energy Storage

Nils Löhndorf () and David Wozabal ()
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Nils Löhndorf: Luxembourg Centre for Logistics and Supply Chain Management, University of Luxembourg, 1511 Luxembourg
David Wozabal: School of Management, Technische Universität München, 80333 Munich, Germany

Operations Research, 2023, vol. 71, issue 1, 1-22

Abstract: We consider the problem of a storage owner who trades in a multisettlement electricity market comprising an auction-based day-ahead market and a continuous intraday market. We show in a stylized model that a coordinated policy that reserves capacity for the intraday market is optimal and that the gap to a sequential policy increases with intraday price volatility and market liquidity. To assess the value of coordination in a realistic setting, we develop a multistage stochastic program for day-ahead bidding and hourly intraday trading along with a corresponding stochastic price model. We show how tight upper bounds can be obtained based on calculating optimal bilinear penalties for a novel information relaxation scheme. To calculate lower bounds, we propose a scenario tree generation method that lends itself to deriving an implementable policy based on reoptimization. We use these methods to quantify the value of coordination by comparing our policy with a sequential policy that does not coordinate day-ahead and intraday bids. In a case study, we find that coordinated bidding is most valuable for flexible storage assets with high price impact, like pumped-hydro storage. For small assets with low price impact, like battery storage, participation in the day-ahead auction is less important and intraday trading appears to be sufficient. For less flexible assets, like large hydro reservoirs without pumps, intraday trading is hardly profitable as most profit is made in the day-ahead market. A comparison of lower and upper bounds demonstrates that our policy is near-optimal for all considered assets.

Keywords: Optimization; multistage stochastic programming; energy storage; electricity price model; limit order book; scenario tree generation; information relaxation (search for similar items in EconPapers)
Date: 2023
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