Improving operation indices of a micro-grid by battery energy storage using multi objective cuckoo search algorithm

Abstract

In this paper, the effect of using Battery Energy Storage (BES) on the operation of power systems is properly investigated by implementing a multi-objective algorithm. In recent decades, the energy storage utilization has been taken into account for performance enhancement of the grid. Typically, there is a moment balance between the power production and consumption and no electrical energy storage therein. However, with the remarkable development of electrical storage technologies, many of the assumptions in electrical power storage systems are changing rapidly and a particular place for storage has been created in current power systems. Utilizing this equipment could cause economical and technical benefits in networks and each one of these issues should be analyzed seriously. In this paper, the potential effect of using BES on the improvement of some important indices of power system operation has been investigated like load factor, network losses and voltage index. So, an OPF model is proposed to find the optimal size and location of battery in the network to help the system operator in reaching its purposes. The integrated algorithm is used, and the efficiency and availability of the model has evaluated by implementing it within a model.