Frimpong, Emmanuel Asuming
Kwame Nkrumah University of Science and Technology

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Average Voltage and Multilayer Perceptron Neural Network Based Scheme to Predict Transient Stability Status Frimpong, Emmanuel Asuming; Okyere, Philip; Asumadu, Johnson
JURNAL NASIONAL TEKNIK ELEKTRO Vol 8, No 2: July 2019
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (289.323 KB) | DOI: 10.25077/jnte.v8n2.668.2019

Abstract

This paper presents a technique that predicts the transient stability status of a power system after a disturbance. It uses generator bus voltage as input parameter and a trained single-input multilayer perceptron neural network (MLPNN) as decision tool. When activated, the scheme samples voltages of all generator buses. Two sets of voltage values are extracted from each sampled generator bus voltage. For each set, the minimum voltage value is obtained. An average value is computed from the minimum voltage values extracted from the first sample sets of the various generator buses. The average value is then used to compute the deviations of the minimum voltage values from the second sets of data. The deviations are then summed and used as input to a trained MLPNN which indicates the stability status. The technique was tested using the IEEE 39-bus test system and its accuracy found to be 98.97%.
Potential for Energy Savings in Educational Institutions in Ghana Twumasi, Elvis; Frimpong, Emmanuel Asuming; Novihoho, Leslie
JURNAL NASIONAL TEKNIK ELEKTRO Vol 8, No 3: November 2019
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (410.749 KB) | DOI: 10.25077/jnte.v8n3.661.2019

Abstract

This paper presents the results of an energy audit carried out to assess the potential of energy savings in educational institutions in Ghana using the Kwame Nkrumah University of Science and Technology (KNUST) as the case study institution. It also outlines a simple and effective technique for such an audit. The College of Engineering; one of the six Colleges of KNUST was used as the study location. Light bulbs and fans at the classrooms, corridors, laboratories and washrooms were monitored for energy wastage. The monitoring period was one month. The energy wastage over the period was estimated to be 1718.24kWh, which is high. The yearly energy wastage at KNUST for the areas assessed is projected to be 95.276MWh, which is alarming. Urgent steps are therefore needed to curb this wastage.Keywords: Energy auditing, Energy efficiency, Energy efficiency measures, Energy saving and Energy wastage