Hybrid energy systems are widely utilised as they combine different sources of energy to augment for the shortcomings of each power source. Information regarding the operating performance of the system components plays an essential role in establishing the control strategy for the system. The optimum control allows for proper exchange of energy among system components, thereby enhancing the system’s performance at optimum cost. Optimisation models are required for the efficient design of the mix of energy resources. These models can enable efficient management and the distribution of power for reliably satisfying the energy demand. This study presents state-of-the-art assessment of optimisation models for hybrid power systems. As part of research efforts in solving the present energy related problems of developing countries, this study comprehensively reviews the current status and underlying principles of various optimisation modelling technologies. This paper recommends the use hybridised metaheuristic algorithms for establishing the optimal solutions of hybrid energy systems. Accurate mix of meta-heuristic algorithms can enable the developmental framework for ascertaining the true optimal solution of hybrid energy system in reasonable time.