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This paper presents the comparative analysis of different energy storage techniques used in the utility grid connected with the renewable energy sources (RESs). Energy storage is required to match the demand and supply of energy. However, with the integration of RESs to the grid increases the mismatch between the supply and demand due to the intermittence of RESs. In this paper, it is shown that the energy stor-age systems provide a better solution to the integration of different RESs to the existing grid. The energy storage systems are the key com-ponents for replacing the conventional fossil fuel plants with RESs. It is hard to evaluate the different types of energy storage techniques between themselves due to the fact that each technology could be used in a different way and are more like compliments. Further, research needs to be done on storage techniques to continue to increase the benefits while reducing the associated costs. The energy storage tech-niques show great potential to help the RESs and smart grid to meet the world’s growing energy demand. This paper has presented the comparative analysis of various energy storage systems in terms of their design, cost, geographical location, advantages and disadvantages.

In this paper, a novel approach is proposed to solve the non-convex and discontinuous economic dispatch (ED) problem of power system with thermal power plants. All the practical constraints (loss constraint, generators ramp rate constraints and network constraints) are considered for solving the ED problem. Here, the proposed ED problem is solved by considering the generators with valve point loading (VPL) effects and prohibited operating zones (POZs) effects. In this paper, to solve this practical ED problem, an evolutionary based Artificial Fish Swarm Optimization Algorithm (AFSOA) is utilized. The AFSOA is a global search algorithm based on the characteristics of fish swarm and its autonomous model. The detailed algorithm with its flow chart is presented in this paper. To show the effectiveness of the proposed ED approach, 3 test systems (3, 6 and 20 generating unit systems) are considered. The obtained results are compared with other algorithms reported in the literature.

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