A nonlinear optimal(H-infinity)control method is developed for a wind power unit that comprises twin turbines,permanent magnet synchronous generators(PMSGs)and AC/DC converters.By proving differential flatness propert...A nonlinear optimal(H-infinity)control method is developed for a wind power unit that comprises twin turbines,permanent magnet synchronous generators(PMSGs)and AC/DC converters.By proving differential flatness properties for this system the associated setpoints definition problem is solved.The dynamic model of the wind power unit being initially expressed in a nonlinear and multivariable state-space form,undergoes approximate linearisation around a temporary operating point that is recomputed at each time-step of the control method.The linearisation relies on first-order Taylor series expansion and on the computation of the associated Jacobian matrices.For the linearised state-space model of the wind power unit,a stabilising optimal(H-infinity)feedback controller is designed.This controller stands for the solution to the nonlinear optimal control problem of the wind power unit under model uncertainty and external perturbations.To compute the controller's feedback gains an algebraic Riccati equation is repetitively solved at each iteration of the control algorithm.The global stability properties of the control method are proven through Lyapunov analysis.Finally,to implement state estimationbased control of the wind power unit,without the need to measure its entire state vector,the H-infinity Kalman Filter is used as a robust state estimator.展开更多
The integration of distributed renewable energy sources into the conventional power grid has become a hot research topic, all part of attempts to reduce greenhouse gas emission. There are many distributed renewable en...The integration of distributed renewable energy sources into the conventional power grid has become a hot research topic, all part of attempts to reduce greenhouse gas emission. There are many distributed renewable energy sources available and the network participants in energy delivery have also increased. This makes the management of the new power grid with integrated distributed renewable energy sources extremely complex. Applying the technical advantages of blockchain technology to this complex system to manage peer-to-peer energy sharing, transmission, data storage and build smart contracts between network participants can develop an optimal consensus mechanism within the new power grid. This paper proposes a new framework for the application of blockchain in a decentralised energy network. The microgrid is assumed to be private and managed by local prosumers. An overview description of the proposed model and a case study are presented in the paper.展开更多
文摘A nonlinear optimal(H-infinity)control method is developed for a wind power unit that comprises twin turbines,permanent magnet synchronous generators(PMSGs)and AC/DC converters.By proving differential flatness properties for this system the associated setpoints definition problem is solved.The dynamic model of the wind power unit being initially expressed in a nonlinear and multivariable state-space form,undergoes approximate linearisation around a temporary operating point that is recomputed at each time-step of the control method.The linearisation relies on first-order Taylor series expansion and on the computation of the associated Jacobian matrices.For the linearised state-space model of the wind power unit,a stabilising optimal(H-infinity)feedback controller is designed.This controller stands for the solution to the nonlinear optimal control problem of the wind power unit under model uncertainty and external perturbations.To compute the controller's feedback gains an algebraic Riccati equation is repetitively solved at each iteration of the control algorithm.The global stability properties of the control method are proven through Lyapunov analysis.Finally,to implement state estimationbased control of the wind power unit,without the need to measure its entire state vector,the H-infinity Kalman Filter is used as a robust state estimator.
基金National Reserach Fund of South Africa(NRF),Grant No.:CSRP190311422854/120397.
文摘The integration of distributed renewable energy sources into the conventional power grid has become a hot research topic, all part of attempts to reduce greenhouse gas emission. There are many distributed renewable energy sources available and the network participants in energy delivery have also increased. This makes the management of the new power grid with integrated distributed renewable energy sources extremely complex. Applying the technical advantages of blockchain technology to this complex system to manage peer-to-peer energy sharing, transmission, data storage and build smart contracts between network participants can develop an optimal consensus mechanism within the new power grid. This paper proposes a new framework for the application of blockchain in a decentralised energy network. The microgrid is assumed to be private and managed by local prosumers. An overview description of the proposed model and a case study are presented in the paper.
