Hybrid approach based on particle swarm optimization for electricity markets participation

Faia, R.; Pinto, Tiago; Vale, Zita; Corchado, Juan Manuel

http://hdl.handle.net/10400.22/14936

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Authors

Faia, R.

Pinto, Tiago

Vale, Zita

Corchado, Juan Manuel

Abstract(s)

In many large-scale and time-consuming problems, the application of metaheuristics becomes essential, since these methods enable achieving very close solutions to the exact one in a much shorter time. In this work, we address the problem of portfolio optimization applied to electricity markets negotiation. As in a market environment, decision-making is carried out in very short times, the application of the metaheuristics is necessary. This work proposes a Hybrid model, combining a simplified exact resolution of the method, as a means to obtain the initial solution for a Particle Swarm Optimization (PSO) approach. Results show that the presented approach is able to obtain better results in the metaheuristic search process.