An intelligent strategy for hybrid energy system management

Abstract

This paper proposes an advanced energy management system (EMS) to control the power flow in a hybrid generation energy system connected to grid and with energy storage. The main contribution of the paper is related to the inclusion of energy forecasts in the control strategy to manage the resources of the system. The EMS is implemented using fuzzy logic technology and will define the battery charging policies and the use of grid energy when necessary. Inputs to the decision system includes current system variables and energy forecast. Some simulations scenarios are considered to test the proposed strategy. Results are compared to existing energy management strategies to attest the potential of the proposal.