Environmental economic operation management of a renewable microgrid with wind PV FC MT and battery energy storage based on MSFLA

Abstract EN

Microgrids (MGs) are local grids consisting of Distributed generators, energy storage systems and dispersed loads which may operate in both grid-connected and islanded modes.

This paper aims to optimize the operation of a typical grid-connected MG which comprises a variety of DGs and storage devices in order to minimize both total operation cost and environmental impacts resulted from supplying local demands.

Furthermore we will try to achieve an intelligent schedule to charge and discharge storage devices that provides the opportunity to benefit from market price fluctuations.

The presented optimization framework is based on multiobjective modified shuffled frog leaping algorithm (MSFLA).

To solve environmental/economic operation management (EEOM) problem using MSFLA, a new frog leaping rule, associated with a new strategy for frog distribution into memeplexes, is proposed to improve the local exploration and performance of the ordinary shuffled frog leaping algorithm.

The proposed method is examined and tested on a grid-connected MG including fuel cell, wind turbine, photovoltaic, gas-fired microturbine, and battery energy storage devices.

The simulation results for three scenarios involving the economic operation management of MG, environmental operation management of MG, and environmental/economic operation management of MG are presented separately.

The obtained results compared with results of well-known methods reported in the literature and prove the efficiency of the proposed approach to solve the both single objective and multiobjective operation management of the MG.