Oscillation Damping Neuro-Based Controllers Augmented Solar Energy Penetration Management of Power System Stability

The appropriate design of the power oscillation damping controllers guarantees that distributed energy resources and sustainable smart grids deliver excellent service subjected to big data for planned maintenance renewable energy. Therefore, main target this study is suppress low-frequency oscillations due disruptive faults heavy load disturbance conditions. considered system comprises two interconnected hydroelectric areas with solar penetrations, severely impacting stabilizers. When associated controllers, FACTs technology such as static synchronous series compensator provides efficient dampening adverse frequency oscillations. First, a two-area penetration implemented. Second, neuro-based are developed. first controller constructed an optimized particle swarm optimization (PSO) based neural network, while second created adaptive neuro-fuzzy. An management approach developed lessen risky impact injected upon rotor speed deviations generator. obtained results impartially compared lead-lag compensator. demonstrate PSO-based network outperforms other in terms execution time performance indices. Solar penetrations temporarily influence electrical produced by generators, which slow down uncomfortably lengthy intervals injection greater than 0.5 pu.