Large wind farms connected to the power system have the potential to make a significant contribution to the operation of the dynamic performances of the system. However, the intermittent nature of wind power reduces frequency stability, which is detrimental to the grid. Consequently, modern grid operators require renewable energy sources, such as offshore wind farms, to contribute to frequency regulation or grid power stabilization. Moreover, the ability of the new technologies such High voltage direct current based on voltage source converters (HVDC-VSC) to independently control active and reactive power can be used to support the AC transmission grid and to connect wind farms to the main grid or to islanded area such microgrid, bringing significant technical and economic benefits to electric system operators. Essentially, due to the increasing size of wind turbine installations, noise, visual pollution and high wind speeds, offshore wind energy applications aremultiplying. The purpose of this paper is to enhance frequency control of small power grid areas such marine microgrid in presence of offshore wind farms and HVDC links using artificial intelligence techniques and optimization algorithms. In the proposedmodel, an optimal load frequency control (LFC) scheme design was proposed as secondary control loop applied to the battery storage system considering the offshore wind farm that utilize inertia control and droop control techniques as the primary frequency control. This coordination of ancillary control and storage system can gives batter results in view of microgrid energy management (EMS) and reducing frequency fluctuations. In this aim, an optimal combined Fuzzy Logic and PID controller was designed to achieve optimal results, where, all the parameters of the controllers are obtained by using the Non-Dominated Sorting Genetic Algorithm III (NSGA-III). To prove the effectiveness of the proposed strategy, various scenarios have been performed. The obtained results demonstrate that the proposed strategy gives good performances for marine microgrid connected offshore wind farm under load disturbances.