Litcius/Paper detail

Optimal integration of photovoltaic power into the electricity network using Slime mould algorithms: Application to the interconnected grid in North Cameroon

F. Fissou Amigue, Salomé Ndjakomo Essiane, Stève Pérabi Ngoffé, Grégoire Abessolo Ondoa, Ghislain Mengata Mengounou, Patrice Théodore Nna Nna

2021Energy Reports27 citationsDOIOpen Access PDF

Abstract

This document proposes a method for determining the optimal point of integration of PV Generated into the electricity grid. The Slime mould optimization algorithm ( SMOA) is applied to determine the best node in the case of one and two injection points. The problem has been modelled as an optimization problem where the objective is to minimize joule losses and the main constraint is to regulate the voltage at each point. The proposed method was implemented in MATLAB and applied in the nodes of the IEEE networks 33 and 69 and the north interconnected grid (NIG) of north Cameroon. The results allowed us to determine the optimal points of the NIG allowing us to inject with less losses. Comparison of the results obtained with other algorithms showed that the SMOA has the best reduction in power losses and a good improvement in the voltage profile.

Topics & Concepts

GridMATLABPhotovoltaic systemElectricityConstraint (computer-aided design)Mathematical optimizationNode (physics)VoltageComputer sciencePoint (geometry)Maximum power principlePower (physics)Joule (programming language)Slime moldAlgorithmEngineeringMathematicsElectrical engineeringMechanical engineeringOperating systemGeometryEfficient energy useStructural engineeringCell biologyQuantum mechanicsBiologyPhysicsOptimal Power Flow DistributionMicrogrid Control and OptimizationElectric Power System Optimization