Enhancement of Frequency Stability of the Nigeria 330kV Transmission Network using Intelligent SSVC.

Subject Area: Electrical Engineering

The Nigerian power sector is grappling with significant frequency instability in its 330kV transmission network, a challenge intensified by aging infrastructure and rising electricity demand. This instability results in frequent grid failures and power outages, affecting millions of people. Traditional control methods have proven inadequate, necessitating the exploration of advanced solutions. This study investigated the integration of Intelligent Static Synchronous Var Compensators (SSVCs) to enhance frequency stability. By employing artificial intelligence algorithms for real-time reactive power compensation, intelligent SSVCs can adapt to dynamic load and generation changes, surpassing conventional methods in both stability and responsiveness. Utilizing data from the Transmission Company of Nigeria, the research applied load flow analysis using the Newton-Raphson method to characterize the network and identify vulnerable points, particularly Bus No. 1 (P.U. voltage: 0.92) and Bus No. 3 (Load MW: 150, Load Mvar: 120). A fuzzy logic control model was developed to optimize reactive power injection based on frequency and voltage deviations. Simulation results reveal substantial improvements in grid performance, especially during peak loads, with frequency deviations reduced by up to 40%. The research demonstrated that intelligent SSVCs not only stabilize frequency but also enhance the reliability and resilience of Nigeria’s power infrastructure. The findings align with national objectives for improved power supply reliability, and further research is recommended to address implementation challenges, including cost and technical complexities, to fully realize the potential of SSVCs in the Nigerian energy landscape.