Bidding Strategy for Microgrid in Day-Ahead Market Based on Hybrid Stochastic/Robust Optimization

This paper proposes an optimal bidding strategy in the day-ahead market of a microgrid consisting of intermittent distributed generation (DG), storage, dispatchable DG, and price responsive loads. The microgrid coordinates the energy consumption or production of its components, and trades electricit...

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Veröffentlicht in:	IEEE transactions on smart grid Jg. 7; H. 1; S. 227 - 237
Hauptverfasser:	Guodong Liu, Yan Xu, Tomsovic, Kevin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.01.2016
Schlagworte:	Batteries Distributed generation Electric power generation ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION ENERGY PLANNING, POLICY, AND ECONOMY Market bidding strategy Markets Mathematical models Microgrid Microgrids mixed-integer linear programming (MILP) Optimization Pricing Real time Real-time systems robust optimization Robustness stochastic optimization Stochastic processes Stochasticity Uncertainty uncertainty Market bidding strategy microgrid mixed-integer linear programming (MILP) robust optimization stochastic optimization
ISSN:	1949-3053, 1949-3061
Online-Zugang:	Volltext
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