Improving the Reliability of an Electric Power System by Biomass-Fueled Gas Engine

Jesús Clavijo-Camacho and Francisco J. Ruiz-Rodriguez ()
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Jesús Clavijo-Camacho: Electrical and Thermal Engineering Department, University of Huelva, 21007 Huelva, Spain
Francisco J. Ruiz-Rodriguez: Electrical and Thermal Engineering Department, University of Huelva, 21007 Huelva, Spain

Energies, 2022, vol. 15, issue 22, 1-12

Abstract: This paper shows a practice to raise the reliability of an electric power system by the installation of distributed generation, taking gasified biomass as fuel. To calculate the reliability index, a probabilistic load flow was used. This index is determined as the fault probability of the system. The resolution of this probabilistic load flow combines the method of cumulants and Gram–Charlier expansion. To achieve the reliability index, simulating a number of contingencies is required; the greater the number of simulated contingencies, the higher the accuracy of the index obtained. This probabilistic technique uses the random variables as starting information, so the two generators and loads are simulated as random variables. The generators of this distributed generation are biomass-fueled gas engines, commonly found in Spain. The simulations carried out on the IEEE 14-bus Test System, including three biomass generators, show that the inclusion of this type of generation improves the overall reliability indices of the electrical system.

Keywords: probabilistic load flow; reliability systems; biomass; gas engine; contingency (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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