This paper aims to simulate a computationally intelligent electrical power transmission expansion system and study the factors affecting power transmission expansion in a deregulated energy system to improve on the current economic conditions. The main problem facing most power system transmission is the failure to actually forecast the load expansion accurately this leads to failure in the transmission expansion design. a hybrid algorithm for the ac/dc transmission expansion planning (HTEP) and  multi algebraic formulation of the stochastic TEP model in a multi-stage planning framework will be used to analyze the  transmission expansion system, optimization problem will considers a weighted  sum of multiple objectives including cost of operation and maintenance, emission, load shedding and line investments, simulation method would consider random outages of generating units and ac/dc transmission lines as well as load forecast .The independent system operator would utilize the proposed method to select the optimal set of ac/dc transmission lines for satisfying TEP criteria. The proposed set of dc transmission system may use either current source converters or voltage source converters. The proposed algorithms are simulated on IEEE 24-bus reliability test system (RTS) and Gerner’s 6 bus system   to compare optimal plans between the original and equivalent system. Further assumptions and adjustments are searched and tested to get more accurate optimal plans. results obtained showed that the hybrid model was capable of handling future generation and load patterns in deregulated, unbundled, and competitive electricity system. the results of the study showed the hybrid model was tested in the Gerner’s 6 bus system and the expansion model after a load forecast. On the IEEE 24-bus system showed that the hybrid expansion model was able to take care of the load forecast for future expansion.

Transient analysis of 33 KV power transmission line stability of Egi community is considered in this research work with the aim of reducing the frequency of fault occurrence and voltage collapse in the network. The supply is taken from Egi generating station located at Total Nigeria Limited Gas Plant Obite at voltage level of 33 KV to Egi communities. This work focuses on the transient nature of network stability since transient fault is the most dangerous in electrical systems. The swinging of the generator rotor in the event of transient three-phase short circuit fault can be monitored by the circuit breakers and the protective relays which causes malfunctioning of the circuit breakers and protective relays leading to abnormal behavior of the network. Therefore, data obtained from the power station were used as a case study of Independent Power Producer (IPP) in Nigeria. For investigation of the power angle, angular velocity, rotor angle differential changes, and angular velocity differential changes, an electrical transient analyzer tool was employed (ETap version 16.00) for circuit breaker and protective relay time setting of (0.00, 0.05, 0.10, 0.15, 0.20, 0.25, 0.30, 0.35, 0.40, 0.45, 0.50, 0.55, 0.60). The work used the Trapezoidal numerical technique for data analysis. The graphs were plotted using Matlab R2015a and the results obtained showed that when a symmetrical three-phase short circuit fault occur at one or any of the feeders, the fault must be cleared as quick as possible through the coordination of the circuit breakers and protective relays. For this research work, 17 cycles corresponding to relay time setting of t = 0.34 s were recommended and at each cycle, changes in time with respect to changes in rotor angle, angular velocity, rotor differential and angular velocity differential were calculated on the power network simultaneously. The results demonstrated that the Trapezoidal method is numerically stable, accurate and has faster respond time when compared to Modified Euler and swing equation techniques in event of fault

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