Electric Spring (ES) is an emerging technology intended to stabilize the voltage across the critical load (CL) of an end-user in the presence of fluctuations of the grid power. The most advanced way of controlling the so-called second generation of ES relies on the handling of both active and reactive power. However, the strategies used to implement such a control suffer from either the need of an a-priori knowledge of circuit parameters or a slow response to the grid power fluctuations. In this paper, a control strategy is proposed that overcomes these inconveniences. It relies on two problem-solving solutions, namely the closed-loop control of the dq components of the current drawn by the end-user and a feedback of the ES output current into the ES command. The setup of the proposed power decoupling control has just the features of being no affected by the circuit parameters and exhibiting an enhanced dynamic behavior. The features are validated by both simulation and experimental results.

A Parameter-Exempted, High-Performance Power Decoupling Control of Single-Phase Electric Springs

Buja G.
2020

Abstract

Electric Spring (ES) is an emerging technology intended to stabilize the voltage across the critical load (CL) of an end-user in the presence of fluctuations of the grid power. The most advanced way of controlling the so-called second generation of ES relies on the handling of both active and reactive power. However, the strategies used to implement such a control suffer from either the need of an a-priori knowledge of circuit parameters or a slow response to the grid power fluctuations. In this paper, a control strategy is proposed that overcomes these inconveniences. It relies on two problem-solving solutions, namely the closed-loop control of the dq components of the current drawn by the end-user and a feedback of the ES output current into the ES command. The setup of the proposed power decoupling control has just the features of being no affected by the circuit parameters and exhibiting an enhanced dynamic behavior. The features are validated by both simulation and experimental results.
2020
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3449461
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