Power system analysis and integration of the proposed Nigerian 750-kV power line to the grid reliability

The present situation of power generation in Nigeria obviously represents a challenge to our ability for rethinking the delivery of energy at maximum efficiency. Previous research on the existing Nigerian 330-kV network grid, recommended that the network be transformed from radial to ring because of high losses inherent in it and the voltage insecurity. In this study, the existing 330-kV network was reconfigured based on the identified regions mapped out for upgrade to form a ringed 750-kV super grid. The bus voltages of some of the buses in the existing 330-kV were upgraded to 750-kV and new transmission lines added to create an integrated super grid with a ring structure as compared to the radial nature of the existing 330-kV grid. These proposed buses have been selected for upgrade based on the fact that they are positioned in critical areas within the topology of the grid that transforms the existing radial structure to a ring one. The method is also cheaper than making the entire network a 750-kV system. Load-flow analysis was carried out on the existing 330-kV Nigerian Grid and the proposed Nigerian 750-kV integrated into the existing grid using Newton–Raphson algorithm. The results analysis of the new network revealed a significant reduction of 30.2% power loss. This was validated using the code-based MATLAB and Power World Simulation model-based software. Contingency analysis was also carried out on both grids using the Power World Simulator. The study revealed that the 750-kV super grid was able to mitigate the losses experienced on the existing grid significantly with better voltage profiles in all the buses. It also revealed that the new network (330-kV and 750-kV integrated) performed better to the single line contingency analysis with less violations occurring and no unsolvable cases.

Fast 10-Point DFT Algorithm for Power System Harmonic Analysis

This article presents an efficient algorithm for computing a 10-point DFT. The proposed algorithm reduces the number of multiplications at the cost of a slight increase in the number of additions in comparison with the known algorithms. Using a 10-point DFT for harmonic power system analysis can improve accuracy and reduce errors caused by spectral leakage. This paper compares the computational complexity for an L×10M-point DFT with a 2M-point DFT.

Optimization of Learning Outcome Achievements in an Outcome-Based System

The conventional outcome-based system under the Washington Accord on the international equivalence of engineering education quality has paved the way for the accreditation of engineering courses in internal and external evaluation processes. This system is defined as a set of outcomes, including learning outcomes of the subject and the program outcomes. Recent findings indicated that learning outcomes of the issue and their achievement levels will be closely linked to enhancing the quality of education and helps taking strides in quality management. The main driving force behind this system and modern accreditation mechanisms is learning outcomes’ achievement levels. Due to the importance of learning achievements, in this paper, a mathematical optimization model is introduced. In this model, the objective function is formulated to maximize the mean of learning outcomes of the subject, and the decision variables are those of allocation weight for assessment items. In the proposed optimization problem, the model constraints are added as mathematical equations, which will form its solution space. Advanced Power System Analysis Subject from Bachelor of Electrical Engineering degree is selected to analyze learning outcomes optimization model. There are six learning outcomes designed for Power System Analysis 2 and 12 program outcomes for the Bachelor of Science in Electrical Engineering Program. Implementation of the optimization model on Power System Analysis 2 shows that the average level of learning achievement has improved from 53.1% to 57.5%.

Power System Analysis of Seawater Desalination Plant in Algeria with Different Load Scenarios

The cost of electricity for the reverse osmosis desalination process is up to 50% of the cost per cubic meter of water produce. Currently, the reduction of energy consumption is the main objective of the research on reverse osmosis plants. This document presents a power system analysis of the seawater desalination plant in Algeria with different load scenarios with a power of 50 MW made available by the electricity company Sonelgaz and a distribution level of 220/11/0.69/0.4 kV and a 2 MW diesel generator at the 0.4 kV level. The objective of this study is to analyze and dimension a general distribution network of an industrial customer through the power flow with different load and contingency scenarios (full load, full load N-1, low load, emergency system) to know and control its optimal and flexible operation. In a second step, the dimensioning of different protective devices is planned through a short circuit analysis of this network in order to evaluate the performance of the system. The ETAP program is used to carry out our simulation of this industrial plant and the effectiveness of the results is proven by comparisons with real measurements for the power flow analysis on the one hand and on the other hand with the results obtained by the builder for the short circuit analysis.