Neoteric HANFISC–SSSC based on MOPSO technique aimed at oscillation suppression of interconnected multi-source power systems

Alleviating dynamic oscillations of the tie-line power exchange and area frequencies in affected interconnected power systems caused by loading condition changes is the prominent responsibility of automatic generation control (AGC). To compensate such the load-changes and also suppress these oscillations, the application of the flexible AC transmission systems (FACTS) can be assigned as one of the practical and effective approaches. In this study, the static synchronous series compensator (SSSC) which is one the series FACTS families is engaged to enhance the overall dynamic performance of multi-area multi-source interconnected power system. Likewise, accomplished endeavours in this regard are led to exude the hierarchical adaptive neuro fuzzy inference system controller–SSSC (HANFISC–SSSC) to suppress both prominent issues in multi-area interconnected power systems i.e.: the low frequency oscillations and the tie-line power exchange deviations. Hereof also, implementation of multi-objective optimisation technique is not avoidable. Due to high efficiency of multi objective particle swarm optimisation (MOPSO) to unravel the non-linear objectives, it has been used to solve the optimisation problem. To verify the high performance of suggested HANFISC–SSSC, two different multi-area interconnected power systems i.e.: two-area hydro–thermal–diesel and three-area hydro–thermal power systems have been considered for this study. In the interim, the capability of HANFISC–SSSC has been perfectly and precisely evaluated and compared with conventional SSSC by incidence of the step load perturbation in all areas of both the test power systems. To sum up, the simulations results obtained from both the power systems have transparently corroborated high performance of HANFISC–SSSC compared with conventional SSSC.