Abstract
Due to the increasing inclusion of renewable energy sources in the Distribution System (DS), the interest in Energy Storage Systems (ESSs) connected to the network and how to justify the investment has grown. By its attractive features such as fast response and decreasing price, the ESS can be used in various scenarios in the electrical system. Among them, we highlight the profit from the purchase and sale of electricity and the improvement of the voltage profile. The objective of this work is to evaluate the operation of the storage system by using the Multi-objective Evolutionary Particle Swarm Optimization (MEPSO) to perform energy arbitrage and jointly improve the voltage profile of the network. The MEPSO is used to find a set of operational decisions to buy or store energy using the prices of the Day-Ahead Market (DAM) and, within these decisions, to operate the ESS during the Real-Time Market (RTM) hours. The results are promising and evidence that, through the proposed methodology, it is possible to perform energy arbitrage with the improvement of the voltage profile and a low number of charging/discharging cycles.
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