Minimization of Risks of Voltage and Frequency Violations in Islanded Microgrids using Robust Probabilistic Optimal Power Flow

Elton  A. Chagas; Anselmo  B. Rodrigues; Maria  G. Silva

doi:10.48011/sbse.v1i1.2386

Elton A. Chagas Federal University of Maranhão
Anselmo B. Rodrigues Federal University of Maranhão
Maria G. Silva Federal University of Maranhão

DOI: https://doi.org/10.48011/sbse.v1i1.2386

Keywords: Gravitational search algorithm, Islanding, Microgrids, Probabilistic power flow, Reliability

Abstract

The main aim of this paper is to propose a robust probabilistic optimal power flow model to determine the droop control parameters for the Distributed Generators (DG) of a islanded microgrid. The term robust is related to the droop control parameters being immune to uncertainties associated with: load forecast errors, DG outages and variability of power output in renewable DG. This optimization problem is solved by an improved gravitational search algorithm (GSA). The test results demonstrated that the proposed method can achieve significant reductions in the load curtailments due to frequency and voltage violations. In addition, a comparison between GSA and the Particle Swarm Optimization (PSO) demonstrated that GSA is more suitable for evaluating the droop control parameters than PSO in relation to the computational cost and the optimal quality of the solution.