The fuzzy linear programming method for optimizing charging schedules in unidirectional vehicle-to-grid systems is a computerized fuzzy linear programming method for an electric vehicle (EV) aggregator that coordinates the provision of ancillary services, such as regulation and spinning reserves, to electricity markets using unidirectional vehicle-to-grid (V2G). The fuzzy optimization incorporates uncertainties while maintaining the tractability of the problem size since, in fuzzy optimization, there is no need to represent each stochastic parameter by a number of scenarios. This allows for optimizing the charging of all EVs simultaneously, as well as taking market aspects into account, guaranteeing maximization of aggregator profits, and further considering electricity market uncertainties, such as ancillary service prices and ancillary service deployment signals.
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