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a b s t r a c tIn this paper, a demand side management control (DSM) acting on the load profile for an isolated hybrid photovoltaic/diesel/battery system for residential application was investigated. This control is a new strategy that compensates the global power flow of a distributed generation system. In fact, using the DSM strategy, the renewable energy can be used effectively to satisfy the demand and reduce the size of the system components. It leads to satisfy customers' continuous requirements to minimize the loss of power supply propability (LPSP), to extend the battery life time minimizing the storage system charge cycle, and to reduce fuel consumption and CO 2 emission together with the diesel generator operation rate (DGOR). Consequently, the DSM strategy is implemented to ensure the minimum system cost. The DSM algorithm relies on the customer's energy consumption record, the instantaneous available PV energy and the state of charge (SOC) of the battery storage system. This could be achieved through switching between two action modes on the consumption profile: time shifting load mode, amplitude modulation load mode. To prove the effectiveness of the proposed control strategy, two scenarios were investigated. The first one describes the system's simulation for two typical days. The second scenario is performed using annual profiles of photovoltaic and load powers. To highlight the benefits of the proposed strategy for the residential hybrid system applications under various conditions, a comparative study between the power management strategies without and with DSM was presented.

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In this paper, speed identification and control problems are simultaneously considered for a micro-grid power generation system (MG-PGS). To eliminate mechanical sensors, an observer has been designed to identify the speed of a wind energy conversion system based on a permanent magnet synchronous machine (PMSM). The proposed observer is an adaptive interconnected structure with online parametric estimation. Moreover, a new control based on the Lyapunov theory has been developed in order to improve sensorless control of a flywheel energy storage system based on induction machine. In fact, the main idea of this control technique is based on an appropriate choice of voltage control values that guaranty the global stability of the controlled system. Simulation results indicate that the sensorless control applied to the MG-PGS improves performances of the global control. The PMSM mechanical speed, the stator resistance, and inductance could be estimated precisely, and the dynamical property of the system is obviously improved.

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