摘要：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.
