Dr. Espinosa-Neira, Eduardo

The objective of this study is to explore the antecedents of the formation of entrepreneurial intention from a linear, causal and asymmetrical perspective. We have combined the Ajzen model applied to entrepreneurship, including two personality variables (self-confidence and creativity). This study involves a structural equation model based on partial least squares (PLS) and fuzzy set qualitative comparative analysis (fsQCA). All of the hypotheses were supported except for the influence of the variables subjective norms and self-confidence on EI. The PLS model explains 68.7% of the variance of EI. According to the fsQCA results, four models explain 88.1% of the existence of EI. The two models with the greatest degree of coverage are: Self-Confidence × Attitude Towards Entrepreneurial Behaviour × Subjective Norms and Perceived Behaviour Control × Creativity × Subjective Norms.

This work deals with a Distribution Static Synchronous Compensator (D-STATCOM) based on a current-source converter for low and medium voltage distribution systems, specifically small and medium manufactures industries which are fined if the displacement power factor is below given limits. The D-STATCOM is analyzed using its mathematical model, showing the strong relation of the D-STATCOM power losses and its DC current level. Using the operating region of the D-STATCOM, an operating sub-region is defined such that the minimum DC current is used for a required reactive compensation, which leads to reducing the operating losses in the DSTATCOM. Also, Selective Elimination Harmonic is used to modulate the equipment to reduce the switching frequency while ensuring a desired current quality in the D-STATCOM input. As a result, a simple control strategy is proposed that uses a fixed modulation index while a phase control regulates the DC current to the lowest value required for reactive power compensation. Mathematical analysis jointly with simulated and experimental results corroborates the proposal, showing that it is possible to achieve a suitable compensation capability for improving the efficacy of the STATCOM.

Cascaded H-bridge multilevel (CHB-ML) inverters are an attractive alternative for supplying power to ac grids as they have high reliability and offer an acceptable quality of voltage at their output terminals. In order to achieve efficient operation in these CHB-ML inverters, they must work at low switching frequencies. The finite-control set model predictive control (FCS-MPC) scheme is a very intuitive strategy for controlling this type of converter, but traditional FCS-MPC algorithms generally have a steady-state error when operating at low sampling frequencies and/or if there are parameters mismatch in the prediction model, regarding those of the real system. In this article, a grid-connected CHB-ML inverter that uses an improved FCS-MPC scheme is proposed. The proposed strategy eliminates the steady-state error in an MPC operating at low sampling frequencies and maintains correct operation when a change in the control reference occurs. Experimental results from a grid-connected CHB-ML inverter with three units (seven levels) demonstrate the feasibility of the proposal.