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Due to their clean nature, high capacity and accurate predictability, the basin-based tidal units can be integrated into bulk power systems. The major problem of these units is the high investment cost of barrage construction, and so, among different renewable resources, these units are less developed. For making the tidal barrages cost-effective, new methods should be implemented to increase their produced power that results in the reduction of electricity price. For this purpose, this study suggests new techniques for optimally operating tidal units equipped with hydro pumps. Here, to increase the produced power and energy of the tidal units, at each time, the number of turbines, sluices and hydro-pumps is optimally determined to yield the maximum produced energy of the generation unit using the particle swarm optimization method. For satisfying the effectiveness of the suggested approach, the optimal operation of a tidal unit installed on the estuary of Bacanga is done and the impact of optimal dispatching of the turbines, sluices and hydro-pumps on produced energy of the unit is studied. It is deduced from numerical results that the generated energy of the plant during 24 h is increased by 17% with the implementation of the proposed operation plan.

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Due to the advantages of micro‐grids including power losses and voltage drops reduction, reliability improvement and reduction in transmission network cost, numerous clean micro‐grids including renewable resources such as wind, tidal and solar are developed in different countries of world. The investment cost of the renewable energy‐based generation units especially tidal barrages is high, and to generate the cost‐effective electricity from the renewable resources, the optimization process should be performed. In this paper, optimal planning of a micro‐grid containing energy storage device and new mixture of renewable resources including tidal barrage and photovoltaic system is performed. For this purpose, optimal characteristics of barrage type tidal plant including number of turbines, sluices and hydro‐pumps, turbine tip and hub diameters and sluice width are determined to maximum energy of tidal plant is generated. Then, number of photovoltaic systems and batteries are obtained to supply the required load in minimum cost. To optimize the objective functions, different heuristic approaches including particle swarm, genetic and imperial competitive algorithms (ICAs) are applied, in the paper. To study the effectiveness of the proposed approach, optimal planning of a micro‐grid is performed. It is deduced from the numerical results that the particle swarm method has performed best in determining the optimal solution.

No abstract