Optimal Operation of a Microgrid with Osprey Optimization Algorithm

What is it about?

The paper presents an application of the Osprey Optimization Algorithm (OOA) for optimal operation of a modified CIGRE benchmark microgrid. The aim is to minimize the generation cost and energy losses. The microgrid loads are supplied from various conventional and Renewable Energy Sources (RES), including micro-turbine generating units, photovoltaic systems and wind turbine generators. A battery energy storage system is employed to help in reducing the effects of the intermittence behavior of the RES. The microgrid location is assumed to be in the Upper Egypt region at Aswan City. Two case studies are performed over one day using MATLAB and PSS SINCAL 20.5 software: (i) normal operation, and (ii) generator outage contingency. The osprey optimization algorithm is compared with two methods, namely, the particle swarm optimization and the well-known Lagrange multiplier techniques under the same operating conditions. The proposed OOA technique provides improvements in both generation operation cost and energy losses reduction. The operation cost is reduced by 0.04% and 0.05% for the 1st and 2nd cases respectively. Also, the energy losses are reduced by 6.85% and 6.25% for the 1st and 2nd cases respectively.

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Photo by Mathew Schwartz on Unsplash

Photo by Mathew Schwartz on Unsplash

Why is it important?

The main contribution of this paper is the successful application of the Osprey Optimization Algorithm, for the first time, to solve the problem of optimal operation of a microgrid, thus resulting in minimization of generation costs.

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