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Fuzzy Control to Reduce the Constraints of V2M System Optimal Scheduling
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    Abstract:

    This article studied the operation optimization of a microgrid power system consisting of EVs(electric vehicles), a photovoltaic power, wind power, gas turbines, batteries and energy storage unit. When the loads, photovoltaic and wind power output for effective monitoring and forecasting conditions are met, we proposed to reduce the constraints in fuzzy control method, to remove the battery and EV constraints, and then the microgrid with nonlinear constrained optimization problem was transformed to a linear optimization problem. Compared with the traditional optimization methods and the unconstraints in fuzzy method, the optimization efficiency of the system has been greatly improved.

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  • Received:
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  • Online: November 08,2014
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