Abstract--High

No abstract

No abstract

No abstract

The aim of this paper is to demonstrate that a dynamic simulator, taking into account temporal data of renewable sources and using energy on one year, is able to sizing each element composing the electric generation system and the storage system. The electrical system includes photovoltaic panels (PV), a wind turbine (WT), a diesel generator (DG) and a storage battery. To illustrate the sizing capability of the dynamic simulator, we have fixed the surfaces of the PV and wind turbine as well as the battery. We are looking to obtain 100% supply by whole generation system. The study is limited to the power minimization of the diesel generator and to elaboration a strategy of starting and stopping the DG according to the SOC of the battery. I.e. with minimum power of DG, minimize the number of start-up and minimize the amount of excess energy. The simulation results for several sizing of DG illustrate the possibility to choose the power DG and the SOC thresholds of the battery to starting or stopping the DG.

No abstract

No abstract

In this paper, we aim to optimize the sizing of an autonomous multisource system in order to minimize the cost of the installation and to improve the dynamic behavior of the whole system. The multisource system comprises a solar generator, a wind generator (WG), a diesel generator (DG), and a lead-acid battery bank. The modeling of such a system is done by using the power model to describe the behavior of each subsystem. The cost of the multisource system is estimated by implementing the embodied energy (EE) concept. A dynamic simulator (DS) has been developed. Due to the complexity of the multisource system in terms of input variables and meteorological data, the simulation becomes difficult, requiring high-performance computing and moreover, the determination of the optimal configuration is not assured. Therefore, we propose to simplify the model by introducing the design of experiment (DOE) approach. The obtained model has been validated and used to perform a single-objective optimization. This model allows us to ensure the simulation of the multisource system efficiently and faster. An optimal configuration has been determined.Index Terms-Design of experiments (DOEs), dynamic simulator (DS), embodied energy (EE), modeling, multisource systems, single-objective optimization.