Performance Analysis of a Hybrid Microgrid with Energy Management

A robust optimal controller for the Ward-Leonard system in a wind turbine is used to meet the performance and stability requirements when the system parameters change. However, designing according to the robust optimal method often leads to a high-order controller. This study investigated the application of order reduction algorithms to simplify the controller and help it better meet the real control problem. Comparative evaluation of the order reduction controller methods showed that the second-order reduction controller according to Moore's balanced truncation algorithm was the most suitable to replace the higher-order controller. The step response quality of the system was better when using a second-order reduction controller than a higher-order controller.

Section: Introductionmentioning

confidence: 99%

Control Design for the Ward–Leonard System in Wind Turbines

Bui¹

2023

Fuzzy Logic Energy Management System-based Nonlinear Sliding Mode Controller for the Stabilization of DC Microgrids

Boubaker,

Jouili

2024

Access to energy is critical for improving living conditions in remote and isolated areas. The integration of Renewable Energy Sources (RESs) and energy storage technologies becomes critical for sustainable energy supply, particularly in distant locations without access to the main grid. The isolated operation of RESs may face numerous problems in operation and reliability, hence, investing Direct Current Microgrids (DCMGs) can be adopted as an effective solution allowing Renewable Energy (RE) integration and contributing to efficient system operation. However, several issues related to monitoring, control, and diagnosis may be encountered under such conditions. The control of a PV-based RE system and a battery/ supercapacitor-based energy storage system in a DCMG is examined in this research. For this aim, a hierarchical control method is proposed. The proposed approach is based on a Sliding Mode Controller (SMC) and the Lyapunov stability theory. To manage load and energy generation, an energy management system based on fuzzy logic was designed. Global asymptotic stability has been demonstrated using Lyapunov stability analysis. The overall system behavior, including the proposed DCMG and controllers, was simulated. The results indicated that the system performs well under varying output and loads.

Optimizing Sliding Mode Controller in a DC Microgrid with Variant Constant Power Loads

Al-Modaffer,

Chlaihawi,

Shabeeb

2024

The optimization of a suitable controlling method is a priority in running any DC/DC boost converter effectively. However, a problem may arise as the occurring oscillations in the microgrid caused by the incremental negative resistance of the Constant Power Poad (CPL) variation may lead to system instability. In order to tackle this intrinsic problem, three proposed Sliding Mode Control (SMC) methods were simulated and examined against multiple variations of CPL in MatLab/Simulink. Integral Sliding Mode Control (ISMC) and Two-variable Sliding Mode Control (TSMC) methods showed a better system performance than the Low Pass Filter SMC (LPFSMC) in terms of stability of output voltage in both steady state and transient conditions. The output voltages of ISMC and TSMC had a margin of error of approximately 1 V in the steady-state response and a minor overshoot of less than 1% in the transient response. The steady-state output voltage when using LPFSMC showed approximately 3 V of error and the transient state had a noticeable overshoot near 3%. However, all three controlling methods had a similar efficiency of around 98%. The outstanding robustness of ISMC exhibited the highest voltage stability with the lowest chattering in both steady state and transient responses through the compensation of adequate current to satisfy the CPL requirement.