The modern era of technology requires shortened time from idea to the implementation of control strategies for electrical drives. Therefore, it is necessary to develop multifunctional solutions suitable for control engineering based on rapid control prototyping principle. Modular test station for research and development of digital control algorithms of electrical drives and power converters has been developed at the Faculty of Technical Sciences. The station is primarily intended for use by MSc and PhD students in order to improve their learning outcomes and provide experiences in control engineering. After detailed description of station's hardware and software, in this paper, results of two experiments are presented in order to demonstrate capabilities of developed stations.

During last few decades there has been a growing demand for exploitation of unconventional energy sources. The ocean and sea energy has attracted much attention, due to its enormous potential. Many patents have been published specifically for wave energy converters. When it comes to production of electrical energy, the most important part of system represents electrical generator. In this paper, the electromagnetic model of synchronous machine used in such wave energy conversion system is created and analyzed. Using created model, the generator’s no-load induced voltage, which works under specific conditions, is analyzed. The specific conditions of these applications imply variable rotor speed, which is a consequence of the stochastic wave nature. The no-load performance of the synchronous generator is investigated by using 2-D finite element method. Calculation of the induced voltage and its peak values, depending on the operating conditions, were performed in order to properly select installed equipment in the wave energy conversion system, the most important being power converter.

The ocean energy resources hold the promise of a sustainable solution within global efforts to diversify energy sources and mitigate climate change. Wave energy conversion (WEC) systems, as emerging technologies, offer adaptability and the potential to harness predictable wave energy. However, integration of WEC systems into a power grid brings challenges for system operators due to their nature of operation. Addressing these demands is a multilayered process that involves highly efficient power electronic devices, control systems, and efficient energy storage solutions. This paper specifically focuses on the methodologies of the grid integration of a specific wave energy conversion system—a point absorber developed by the company Sigma Energy. Proposed methodologies are experimentally tested using power hardware-in-loop (PHIL) emulation of a fully monitored and controlled small-scale microgrid equipped with a battery energy storage system (BESS), different emulators of loads, and distributed generators (DG).

Significant increasing in the final energy consumption and limitations of the current energy sector has strongly require development of renewable energy sector. Additionally, efficient harvesting of the locally available potential will become of the utmost importance. In that regard, the international research community has recognized the immense potential of wave energy conversion systems as part of the solution to the increased consumption problem. Even though it is not a novel concept, recently heightened interest in this area has led to important development of the technology. Based on the linear wave theory, this paper will present the basic parameters that specify the amount of available wave energy. The power take-off system based on sigma wave energy converter was assumed and the corresponding control of the electrical generator was applied for the simulation. The paper will present the simulation results, offering the verification of the proposed control strategy with special reference to the achieved capture width value.

The biomass combustion process is inevitably accompanied by the emission of pollutant gasses. This paper gives a comprehensive analysis of the external variables and combustion products of the biomass plant. The analyzed data were collected from 18 MWt boiler in combined heat and power plant Sremska Mitrovica over a period of four months. The correlations between the recorded data were determined using a unique methodology, which is based on association rule mining. The results of the study can be further used for the reduction of the harmful combustion products, as well as for the optimization of the operation process.