AIMS Energy, 2018, 6(1): 70-96. doi: 10.3934/energy.2018.1.70.

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Optimal sizing and operation of energy storage systems considering long term assessment

Departament d’Enginyeria Electrica, Universitat Politecnica de Catalunya, Barcelona, Spain

This paper proposes a procedure for estimating the optimal sizing of Photovoltaic Generators and Energy Storage units when they are operated from the utility’s perspective. The goal is to explore the potential improvement on the overall operating conditions of the distribution system to which the Generators and Storage units will be connected. Optimization is conducted by means of a General Parallel Genetic Algorithm that seeks to maximize the technical benefits for the distribution system. The paper proposes an operation strategy for Energy Storage units based on the daily variation of load and generation; the operation strategy is optimized for an evaluation period of one year using hourly power curves. The construction of the yearly Storage operation curve results in a high-dimension optimization problem; as a result, different day-classification methods are applied in order to reduce the dimension of the optimization. Results show that the proposed approach is capable of producing significant improvements in system operating conditions and that the best performance is obtained when the day-classification is based on the similarity among daily power curves.
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Keywords clustering technique; energy storage system; genetic algorithm; optimization; parallel computing; photovoltaic generation

Citation: Gerardo Guerra, Juan A. Martinez-Velasco. Optimal sizing and operation of energy storage systems considering long term assessment. AIMS Energy, 2018, 6(1): 70-96. doi: 10.3934/energy.2018.1.70


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