Application of Optimal Interline Power Flow Controller Placement for Voltage Improvement in the Lagos Regional 330 KV Transmission Network
Abstract
The increasing demand for reliable electric power and the growing complexity of transmission networks have intensified the need for advanced power flow control and voltage stability enhancement techniques. This study investigates the optimal placement of an Interline Power Flow Controller (IPFC) for voltage profile improvement and transmission loss minimization the Lagos Regional 330 kV transmission network as case studies. The networks were modeled in the Power System Analysis Toolbox (PSAT) environment within MATLAB/Simulink. Load flow analysis was initially performed to identify weak buses, evaluate voltage profiles, and determine active and reactive power losses under uncompensated operating conditions. For the Lagos Regional 330 kV network, a polynomial regression model relating transmission distance to active power loss was developed and utilized as an objective function for optimization. Particle Swarm Optimization (PSO) and a hybrid PSO–Multi-Verse Optimization (PSO-MVO) algorithm were employed to determine the optimal IPFC location. The optimization process identified the transmission line 5 between Olorunsogo and Ikeja West at an approximate distance of 600 km as the most suitable location for IPFC installation. Simulation results demonstrated significant improvements in voltage profiles, active and reactive power flow distributions, and reductions in transmission losses after IPFC implementation. The simulation results when the IPFC was placed within the ten (10) buses showed that the impact of the of the optimal placement of IPFC using PSO-MVO on the network obtained voltage improvement above 10% on bus 2, 5, 6 and 10 as a result of impact of IPFC placement on the network when compared to that without IPFC placement while the active and reactive power losses improved between 92% to 95% for all the buses when IPFC was placed on the test network. Finally, techno-economic evaluation using the profitability index confirmed the economic viability of the proposed approach.
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