Control tolerante a fallos multi-objetivo para sistemas Bess acoplados electrónicamente a micro-redes eléctricas en CA aisladas basado en IMC y H ∞

Abstract

The research proposes a multi-objective fault tolerance strategy for battery storage systems (BESS) coupled to the Benchmark type MRH (Micro-Hybrid Network) based on algorithms by IMC and infinite H, considering that the control will operate for any load disturbance in the system. The proposed method will provide the basis for the development of fault tolerance methodologies in MRH, in addition, it will contribute to improve the reliability of the BESS and the isolated MRH against negative effects such as disturbances. Those effects such as: disturbances in the load, unmeasured disturbances in the load, censoring disturbances, disturbances in the uncensored output and noises in the measurement. In BESS systems, by using power electronics the energy in its DC form is adapted to suitable AC values in voltage and frequency. The test MRH is composed of: Photovoltaic (PV) panels, Energy Storage System (BESS), linear and nonlinear loads. By means of fault tolerance, its development is focused on a control based on IMC and infinite H algorithms to eliminate all kinds of parasitic signals. The overall behavior will have a correct response at the Voltage and Current level, in addition to improve and avoid the control action will include a mechanism known as Anti WinUp. The project to be implemented proposes a stochastic analysis that bases its actions to avoid conflicts of parasitic signals in the outputs of our system at Voltage and Current level. All design focuses on controllers, Models and Plants that will allow adjusting the control times to improve the reliability of the BESS and MRH. The multi-objective control design approach uses the Internal Model Control (IMC) method which is applied to infinite dimensional linear systems, where the dynamics are described by irrational transfer functions. The inputs are often constrained in practice, but it is adapted to provide multi-objective control. When the inputs are saturated, an anti-winup compensation control will be developed to solve the disturbances caused by noise. The design of optimal controllers for single input (SISO) outputs will have the same approach in the case of multiple inputs (MIMO). Finally, the results will be verified and tested by simulation in Matlab/Simulink.