With the rapid growth of the wind energy systems in the past years and their interconnection with the existing power system network, it has become very significant to analyze and enhance the transient stability of the wind energy conversion systems connected to the grid. This paper investigates the transient stability enhancement of a grid-connected wind farm using doubly-fed induction machine (DFIM) based flywheel energy storage system (FESS). A cascaded adaptive neurofuzzy based controlling technique is introduced to control the insulated gate bipolar transistor (IGBT) based frequency converter to enhance the transient stability of the wind farm connected to the grid. The performance of the presented control strategy is analyzed under a severe symmetrical fault condition on a single machine infinite bus model and on the IEEE 39-bus New England test system. The transient performance of the system is investigated by comparing the performance of the system using classical PI-controllers and the adaptive neuro fuzzy controllers. The validity of the system is verified by the simulation results which are carried out using PSCAD/EMTDC. Index Terms-Adaptive neuro-fuzzy controller, doubly fed induction machine, flywheel energy storage system, frequency converter, wind farm.

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In the demand side management (DSM) the aggregator is appearing as a key player in managing the demand during the peak hours by acting as an energy manager between the utility and the consumer. In this work, an emerging concept of the energy service provider as a business entity for domestic consumers is discussed and focuses on the interactional issues between the utility, the aggregator and the consumers. The paper also discusses the role of communication in the interaction among the three players.

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