Voltage Control of DC Microgrid using Arctic Puffin Optimization Algorithm for Tuning of Sliding Mode Control Gain

In general, voltage control is an important issue in terms of system stability and reliability especially when the penetration level of renewable units increases with potential a role for DC microgrids. Sliding Mode Control (SMC) is known widely for its insensitivity to system uncertainties and external disturbances, but it highly relies on the exactness of tuning control gains. In this paper, the Arctic Puffin Optimization (APO) algorithm is employed to obtain optimal tuning of SMC gains for improved voltage control in DC microgrids. Inspired by the Arctic Puffins behavior, APO algorithm proposed a new way to balance exploration and exploitation in search space hence it is suitable to solve challenging optimization problems. Comprehensive simulations and comparative analysis have established that the proposed APO-tuned SMC will improve voltage control performance with much less managing effort and with better system stability regardless of the running situations. In the presented results, the paper explicitly showed that SMC tuned by APO for voltage control has a good performance.