Search

The power system is dominated by the renewable energy resources since last two decades. The main cause behind this enormous deployment of RES is to combat the global warming and to decrease dependency on fossil fuels. Wind energy is one of the abundant available sources of energy throughout the world. However, the huge deployment of wind energy in the power system cause vulnerability to the system. The main cause is the lack of system inertia in RES which cannot effectively respond during the power imbalance condition. To counter this effect, the virtual synchronous generators are deployed in the RES based power system. The VSG mimics the synchronous generator features and therefore it possesses the ability to provide the inertial support to system. In this paper, a wind base multiple VSG system is proposed to counter the frequency irregularities of the system. Furthermore, a comparison with classical droop control is done based on load variation. Moreover, the genetic algorithm is used to optimize the values of damping and inertia of the VSG. The performance of the proposed system is validated in MATLAB/Simulink 2019.

Due to the strong nonlinearities of the boiler-turbine system, feasibility and high response capability are hard to realize using traditional linear controllers. Advanced controllers that can ensure stability and feasibility without violating system constraints, and enhance the system’s dynamic output performance, are needed. Therefore, this paper proposes a stable input/output feedback linearization (IOFL) model predictive controller (MPC) technique for the boiler-turbine system. This nonlinear system is decoupled using the IOFL method into a novel linearized model, which is then used for constituting the proposed stable IOFL MPC problem. The proposed scheme uses a constraint mapping method that converts actual input limits into limits on the basis of the control output variable to ensure a feasible solution over the whole prediction horizon. Moreover, a min-max MPC technique in the form of linear matrix inequality with the realization of the input rate-of-change constraints is utilized to ensure the boiler-turbine unit’s stability. The process model and proposed control scheme are executed using MATLAB and the simulation results demonstrate that the proposed controller has an enhanced dynamic output performance compared with an advanced control scheme under various load variations. [ABSTRACT FROM AUTHOR]