Fault Location Optimisation Using Gold Rush Optimiser in Geothermal Hybrid Power Plant

With fossil fuel still happening to be the major source of input to power generation globally, the environmental complications caused by it are becoming more conspicuous. This is particularly reflected in the huge amount of CO2 emissions taking place globally due to the high percentage use of fossil fuel. In this context, renewable energy combined with conventional energy in the form of hybrid energy offers a sustainable and environment friendly solution. But, in cases where the renewable input is from the core of the earth in the form of Geothermal energy, proper otimisation of it combined with conventional source becomes an important aspect. The presented paper focusses on optimisation technique using a novel algorithm “Gold Rush Optimiser” (GRO). The simulation of the hybrid power system has been done in MATLAB simulink. The study considers a maximum transmission line length of 300 km and a minimum absolute percentage error of 0.0001 for the stated fault location. The results obtained with the proposed algorithm are highly accurate compared to other optimisation techniques. It efficiently determines locations with remarkable precision and speed, owing to its faster convergence rate. GRO’s potential in fault location optimisation keeps expanding as power grids get smarter and more decentralized.