Waveform distortions are one of the most diffused Power Quality disturbances and are nowadays gaining a growing interest by the researchers of modern smart grids where a massive presence of new technologies in distributed energy resources and in advanced smart metering systems is expected. Shunt active power filters are considered a high performing solution to limit the impact of this disturbance on the smart grid equipment, but their location and size in a multi-converter smart grid requires an optimization approach that should contemporaneously consider different and, sometimes, conflicting objectives. In this paper, a multi-objective optimization model is formulated to solve the problem and a new simplified approach is proposed to solve the model under non-certainty. The proposed approach applies the Rank-order centroid weights method and a criterion of the Decision Theory under non-certainty, assuming a complete knowledge of the future probabilities. Numerical applications to a test network permit to highlight the ease of application of the proposed method and the interest in the obtained results.

A Decision Theory Approach for the Multi-objective Optimal Allocation of Active Filters in Smart Grids / Carpinelli, G.; Mottola, F.; Proto, D.; Russo, A.. - In: PROCEEDINGS - INTERNATIONAL CONFERENCE ON HARMONICS AND QUALITY OF POWER. - ISSN 1540-6008. - 2022:(2022), pp. 1-6. (Intervento presentato al convegno 20th International Conference on Harmonics and Quality of Power, ICHQP 2022 tenutosi a Napoli (Italy) nel 2022) [10.1109/ICHQP53011.2022.9808433].

A Decision Theory Approach for the Multi-objective Optimal Allocation of Active Filters in Smart Grids

Russo A.
2022

Abstract

Waveform distortions are one of the most diffused Power Quality disturbances and are nowadays gaining a growing interest by the researchers of modern smart grids where a massive presence of new technologies in distributed energy resources and in advanced smart metering systems is expected. Shunt active power filters are considered a high performing solution to limit the impact of this disturbance on the smart grid equipment, but their location and size in a multi-converter smart grid requires an optimization approach that should contemporaneously consider different and, sometimes, conflicting objectives. In this paper, a multi-objective optimization model is formulated to solve the problem and a new simplified approach is proposed to solve the model under non-certainty. The proposed approach applies the Rank-order centroid weights method and a criterion of the Decision Theory under non-certainty, assuming a complete knowledge of the future probabilities. Numerical applications to a test network permit to highlight the ease of application of the proposed method and the interest in the obtained results.
2022
978-1-6654-1639-9
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2971726