Realization of the optimal sizing of local hybrid photovoltaic and wind energy systems with load scheduling capacity
Abstract
Proper sizing of a local hybrid energy system is important to satisfy local power requirement and achieve low cost. This article presents a sizing approach for a local photovoltaic (PV)/wind turbine (WT) hybrid energy system considering the capacity of local demand side management. In the approach, instantaneous energy consumption is modeled by analyzing the power characteristics of various load types. Based on the model, local electricity load can be scheduled to minimize the electricity consumed from the utility grid. The system sizing is then formulated as a bi-level optimization problem, in which the down-level is dedicated to scheduling the energy consumption in a given energy generation profile, while the up-level is to seek for the optimal sizing of the hybrid energy system. Genetic and efficient global optimization algorithms are used respectively to solve the down-level and up-level optimization problems. A practical industrial case study is used to verify the sizing strategy. Different sizing configurations are realized and compared to demonstrate the benefits of the proposed approach.
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