Real-time energy management scheme for hybrid renewable energy systems in smart grid applications

In this paper, an effective algorithm for optimizing distribution system operation in a smart grid, from cost and system stability points of view, was proposed. This proposed algorithm mainly aims at controlling the power available from different sources such that they satisfy the load demand with the least possible cost while giving the highest priority to renewable energy sources. Moreover, a smart energy commitment technique was designed to control the batteries in such a way that they are allowed to discharge only when there is no very big load predicted within the coming period. Consequently, they act as a buffer for the predicted large loads to increase the stability of the system and reduce voltage dips. In addition, the batteries are used to serve another economic purpose, which is peak-shifting during the day. Mathematical techniques were applied to build accurate forecasting models for different sources and for the load. These models help in monitoring and predicting the total power generation and demand online. Various case studies were investigated to verify the validity of the proposed algorithm and define the system behavior under varying conditions. The results verify the validity of the proposed energy commitment scheme.

► We develop an effective algorithm for optimizing distribution system operation in a smart grid.
► We manage the energy in a renewable energy system involving battery storage.
► We reduce the cost while satisfying the demanded load.
► Obtained results verify the applicability of the developed techniques.