Optimal Sizing of hybrid grid-connected energy system with demand side scheduling

With the accelerated development of the renewable energy and smart grid technologies, more and more electricity consumers are planning integrating local renewable systems for economical and ecological reasons. To be efficient, the system has to be sized optimally in consideration of both energy generation and consumption. Meanwhile, the demand side management subject to consume energy more flexibly has been drawing more and more attention. In this study, an optimal sizing strategy is proposed for grid-connected PV/WT hybrid system with demand side scheduling. To do this, the energy consumption related to different load types are modeled for scheduling. A bi-level optimization framework is then proposed to realize load scheduling within the optimal sizing. In the framework, down-level is for load scheduling and achieved by genetic algorithm, while the up-level is dedicated to optimal sizing and realized by efficient global optimization algorithm. The proposed framework is verified through a case study for an industrial company, whose objective is to size one PV/WT system to compensate the local energy consumption. The obtained results show the benefits of combining system sizing with load scheduling.