The mitigation of uncertainty in the availability of power generation from microgrids to enable renewable resources to be dispatched is a daunting task for the individual operators. Installing energy storage systems may reduce the impact of renewable energy intermittency. However, a peculiarity in energy management can be arisen, particularly, when different energy providers manage these resources. Hence, an intelligent utilization approach should be devised to maximize the benefits of using battery energy storage, since the cost of this system is the most expensive part. This article proposes an effective power dispatch strategy for clustered microgrids. The developed hybrid algorithm implements optimal energy management and power sharing control using binary data. The frequency-shift keying (FSK) technique has been adopted for transmitting the binary signal over the power line communication (PLC). A part of the algorithm is utilized to deal with the optimal scheduling control, whereas the other actuates the dynamic-demand-response-based photovoltaic power forecasting. The performance of the proposed approach with the formulated backup injection index has been validated using data collected from the practical network of 'Bario, Sarawak.' The presented results suggest that the implementation of the proposed strategy can improve the efficiency of the overall system, causing less operating cost and fast return. It was also found that the binary signal can be transferred with less distortion through PLC networks when using the FSK technique compared to other techniques.