Dynamic Performance Enhancement of a Renewable Energy System for Grid Connection and Stand-Alone Operation with Battery Storage

Mahmoud A. Mossa, Olfa Gam and Nicola Bianchi
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Mahmoud A. Mossa: Electrical Engineering Department, Faculty of Engineering, Minia University, Minia 61111, Egypt
Olfa Gam: Département École de Genie, Université Québéc en Abitibi Témiscamingue, Rouyn-Noranda, QC J9X 5E4, Canada
Nicola Bianchi: Department of Industrial Engineering, University of Padova, Via Gradenigo 6/a, 35131 Padova, Italy

Energies, 2022, vol. 15, issue 3, 1-42

Abstract: This paper introduces a new formulated control scheme for enhancing the dynamic performance of a wind driven surface permanent magnet synchronous generator. The designed control scheme is based on predictive control theory, in which the shortcomings of previous predictive controllers are avoided. To visualize the effectiveness of the proposed control scheme, the performance of the generator was dynamically evaluated under two different operating regimes: grid connection and standalone operation in which a battery storage system was used to enhance the power delivery to the isolated loads. In addition, a detailed performance comparison between the proposed controller and traditional predictive controllers was carried out. The traditional control topologies used for comparison were the model predictive direct power control, model predictive direct torque control, and model predictive current control. A detailed description of each control scheme is introduced illustrating how it is configured to manage the generator operation. Furthermore, to achieve the optimal exploitation of the wind energy and limit the power in case of exceeding the nominal wind speed, maximum power point tracking and blade pitch angle controls were adopted. A detailed performance comparison effectively outlined the features of each controller, confirming the superiority of the proposed control scheme over other predictive controllers. This fact is illustrated through its simple structure, low ripples, low computation burdens and low current harmonics obtained with the proposed control scheme.

Keywords: PMSG; predictive control; wind power; MPPT; battery storage; ripples; computation burden; standalone operation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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