TY  - JOUR
AU  - Rigatos, Gerasimos
AU  - Siano, Pierluigi
AU  - Numay, Mohammed
AU  - Abbaszadeh, Masoud
AU  - Cuccurullo, Gennaro
PY  - 2024
DA  - 2024/02/21
TI  - Nonlinear Optimal Control for a PMLSG-VSC Wave Energy Conversion Unit
JO  - Journal of Energy and Power Technology
SP  - 006
VL  - 06
IS  - 01
AB  - This article aims to treat the nonlinear control problem for the complex dynamics of a wave energy unit (WEC) that consists of a Permanent Magnet Linear Synchronous Generator (PMLSG) and a Voltage Source Converter (VSC). The article has developed a globally stable nonlinear optimal control method for this wave power generation unit. The new method avoids complicated state-space model transformations and minimizes the energy dispersion by the control loop. A novel nonlinear optimal control method is proposed for the dynamic model of a wave energy conversion system, which includes a Permanent Magnet Linear Synchronous Generator (PMLSG) serially connected with an AC/DC three-phase voltage source converter (VSC). The dynamic model of this renewable energy system is formulated and differential flatness properties are proven about it. To apply the proposed nonlinear optimal control, the state-space model of the PMLSG-VSC wave energy conversion unit undergoes an approximate linearization process at each sampling instance. The linearization procedure relies on a first-order Taylor-series expansion and involves the computation of the system’s Jacobian matrices. It takes place at each sampling interval around a temporary operating point, which is defined by the present value of the wave energy conversion unit’s state vector and by the last sampled value of the control inputs vector. An H-infinity feedback controller is designed for the linearized model of the wave energy conversion unit. To compute the feedback gains of this controller, an algebraic Riccati equation is repetitively solved at each time step of the control algorithm. The global stability properties of the control scheme are proven through Lyapunov analysis.
SN  - 2690-1692
UR  - https://doi.org/10.21926/jept.2401006
DO  - 10.21926/jept.2401006
ID  - Rigatos2024
ER  -