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Open image in new window Fig. 5 Comparison of micro turbine generation.
Equation (5) limits the change of micro turbine generation at two consecutive intervals.
Figure 5 compares micro turbine generation of the MPC-based microgrid dispatch schedule and day-ahead schedule.
The first term is the cost for power exchange with the utility grid; the second term stands for micro turbine generation cost; the last two terms express costs for dispatching the flexible load, including load transfer ((C_{LS}^{RT})(t)) and load interruption ((C_{LC}^{RT})(t)).
Therefore, during time intervals with little forecast error of thermal load (e.g. 1, 4, 9 11 h), micro turbine generation of the two schedules are approximately the same; while in time intervals with greater forecast deviation (e.g. 3, 5 8, 13 14 h), power generation of the two schedules differs a lot from each other.
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However, combustion generation units, such as diesel generators and micro-turbine generators, cannot quickly respond to these sudden changes in microgrids.
In this paper, a new technique to detect islanding conditions has been proposed for micro turbine (MT) as distributed generation.
In this paper, a novel power plant design which uses a hybrid system of solid state fuel cell and micro turbine gas are assessed for power generation with capturing CO2 and a three-reactors chemical looping for hydrogen generation (TRCL) from natural gas using three reactors.
An outline of modelling the micro-turbine based generation system including the AC-DC-AC converter is presented.
The electromagnetic transients of the overall micro-turbine based generation system including the micro-turbine and converter controllers are evaluated based on time-domain simulation studies in the PSCAD/EMTDC software environment.
It is shown to have sufficient accuracy to assess the potential for micro-turbine energy generation in cities and illustrates that the urban wind resource can be evaluated from measurements made at a nearby site, adjusted for the urban site location.
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