Operation optimization of Ikeja west power subtransmission network in a deregulated market environment

摘要

The deregulation of the electric market makes the optimal operation of the network imperative. The incentive of this process includes more customer penetration, higher profit margin and improved system efficiency. This paper presents the results of optimal power flow evaluation and power factor improvement of the Ikeja West 132kV Subtransmission network. The steady state power flow of the network was evaluated using multiple slack selection. Newton algorithm was adopted and implemented on ETAP 12.6 with the objectives to minimize transmission losses and improve bus voltage stability. Furthermore, a model for optimum capacitor placement using genetic algorithm (GA) to minimize operation cost and maximize profit for a five year testing period is developed. Voltage magnitudes at the132kV buses are observed to be critical and below the stability limit with Agbara, Alausa and Oworo existing at 0.92, 0.93 and 0.923 p.u respectively. Optimal power flow evaluation presents a 69% and 67% reduction in active and reactive power losses respectively. The optimal placement of capacitors presented a reduction of $5.85M in installation and operation for the first operation year. The deregulated market is driven by profit consequently the optimization model and cost benefit analysis (CBA) presented in this research is effective for optimized system operations.