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• W1787290749 abstract "We investigate the potential for aggregations of residential thermostatically controlled loads (TCLs), such as air conditioners, to arbitrage intraday wholesale electricity market prices via non-disruptive direct load control. Since wholesale electricity prices reflect power system conditions, arbitrage provides a service to the grid, helping to balance real-time supply and demand. While previous work on the energy arbitrage problem has used simple energy storage models, we use high fidelity TCL-specific models which allow us to understand and quantify the full capabilities and constraints of these time-varying systems. We explore two optimization/control frameworks for solving the arbitrage problem, both based on receding horizon linear programming. Since we find that the first approach requires significant computation, we develop a second approach involving decomposition of the optimal control problem into separate optimization and control problems. Simulation results show that TCLs could save on the order of 10% of wholesale energy costs via arbitrage, with savings decreasing with price forecast error." @default.
• W1787290749 created "2016-06-24" @default.
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• W1787290749 date "2013-07-01" @default.
• W1787290749 modified "2023-09-26" @default.
• W1787290749 title "Energy arbitrage with thermostatically controlled loads" @default.
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• W1787290749 doi "https://doi.org/10.23919/ecc.2013.6669582" @default.
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