## 1 Introduction  
Over the past century, industrial development has significantly contributed to climate change, primarily by increasing greenhouse gas emissions (see Figure 1) [1]. In response to this reality, a global transition towards more environmentally friendly energy sources and less polluting industries has become imperative [2]. In this context, enhancing the quality and energy efficiency of electric drive systems is a crucial factor in the shift towards greener industries. Technological advancements in this field aim to develop more efficient systems that minimize energy consumption and losses while ensuring high levels of performance, reliability, and durability [3]. In recent years, extensive research has been conducted to overcome this technological challenge. Several studies have focused exclusively on improving power quality. For instance, research in [4] has demonstrated that integrating FACTS devices, such as the Unified Power Quality Conditioner and the Static Synchronous Compensator, can reduce total harmonic distortion (THD) and enhance the stability of modern power distribution grids. Similarly, the study in [5] investigated the implementation of a Dynamic Voltage Restorer to mitigate voltage sags and ensure a stable supply to sensitive loads. Additionally, the authors of [6; 7] analyzed the impact of multilevel inverters on the power quality of wind and photovoltaic systems. The study in [8] examined converter topologies dedicated to high-power electrolysis and their influence on the quality of power injected into AC grids. Furthermore, research in [9; 10; 11; 12] proposes a robust control strategy based on sliding mode and fuzzy logic, applied to power electronic converters. This approach aims to enhance the integration of wind turbines and photovoltaic power plants into the grid, enabling them to provide ancillary services while ensuring compliance with grid codes. In addition, studies in [13; 14; 15] propose advanced fixed-time sliding mode control strategies combined with nonlinear observers to enhance power quality in microgrid applications. These approaches improve disturbance rejection, ensure fast and robust regulation of the DC-link and output voltages, and enhance the dynamic performance of converters operating within renewable-based hybrid networks. Moreover, studies in [16; 17; 18] focus on detecting and diagnosing faulty current sensors to improve power quality by ensuring the stable and reliable control of wind power systems. Finally, research in [19; 20] explores high-frequency modeling of electrical machines to design high-performance filters, ultimately improving power quality in the grid. In the context of improving energy efficiency, several researchers have focused on reducing losses and optimizing energy management to enhance the overall performance of electrical systems. For example, the authors of [21] analyzed asymmetric bidirectional DC-DC converters for power electronic transformers. Their findings demonstrated that these converters reduce peak current and enhance switch safety, thereby optimizing energy efficiency. And the study by [22] proposed the use of a multi-port converter with a high-frequency link for interfacing clean power sources, improving system flexibility and overall efficiency. In addition, the research in [23] introduced a multi-objective approach based on Pareto analysis for Volt/Var control of photovoltaic inverters, enabling the optimized management of reactive power injected into the grid. Other works, such as those in [24; 25; 26; 27; 28], have explored advanced power maximization techniques for photovoltaic and wind power  
Figure 1: Worldwide greenhouse gas emissions [1]. systems. These approaches allow for a more efficient utilization of solar and wind resources while minimizing energy losses. In the pursuit of simultaneously improving power quality and energy efficiency, research aims to address a major challenge in modern power systems: reconciling performance, reliability, and energy optimization.