No abstract

No abstract

No abstract

The energy transition from fossil-fuel generators to renewable energies represents a paramount challenge. This is mainly due to the uncertainty and unpredictability associated with renewable resources. A greater flexibility is requested for power system operation to fulfill demand requirements considering security and economic restrictions. In particular, the use of gas-fired generators has increased to enhance system flexibility in response to the integration of renewable energy sources. This paper provides a comprehensive formulation for modeling a natural gas supply network to provide gas for thermal generators, considering the use of wind power sources for the operation of the electrical system over a 24-hour period. The results indicate the requirements of gas with different wind power level of integration. The model is evaluated on a network of 20 NG nodes and on a 24-bus IEEE RTS system with various operative settings during a 24-hour period.

In this document an evaluation of the energy efficiency in Active Power Filters APF, to reduce the Total Harmonic Distortion of current (THDi), in microgrids, through fuzzy logic control methods is done. It will be shown the design of the fuzzy logic controller based on the characteristics of the microgrid signals; it will be focused on three-phase systems using hysteresis commutation techniques to inject the corrective signals. The design of each controller will considerate different kinds fuzzy logic inference systems, and fuzzy logic controllers structure to achieve the optimal design for each case, the data obtained by simulation is referent to the energetic and operational performance of the APF with each controller, these data will be analyzed and compared with standards and technical documents. Finally the optimal fuzzy logic controller obtained will be presented, focusing on both energetic and operational performance, and final suggestions will be presented.