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Title: A Direct Method for Voltage Stability Prediction on Power Networks using Supervised Learning Algorithm in Smart Grid Scenario
Author(s): G. Saha, K. Chakraborty, P. Das
Pages: 1-8 Paper ID:171204-6363 IJET-IJENS Published:August, 2017
Abstract: The Neural Network based technique has become a most imaginably assertable, a very appealing and an accrual beneficial trend in the recent development of the power system. The objective of this paper is to predict the secure or the insecure state of the power system network using a hybrid technique which is a combination of Artificial Neural Network (ANN) and voltage stability indexes. A Transference Index (TI) has been formulated from the equivalent two-bus network of a multi-bus power system network, which has been tested on a standard IEEE 30-bus system and the result is validated with a standard Fast Voltage Stability Index (FVSI). FACTS devices in the critical bus have been considered for the improvement of the voltage stability of the system. An ANN based supervised learning algorithm has been conferred in this paper alongside Contingency Analysis (CA) for the prediction of voltage security in an IEEE 30 - bus power system network which is very essential from the viewpoint of a power system operator. The proposed scheme can be easily embedded in the master computer of Energy Control Centre (ECC) to predict the current operating condition of the network in terms of voltage security.
Keywords: Feed forward neural networks, load flow, power system stability, static VAr compensators, Smart grids.
Full Text (.pdf)  International Journals Of Engineering and Science | 618 KB
Title: Hydrogeochemical Geometry of Subsurface Layers in Odo-Oba Town, Southwestern Nigeria
Author(s): Adewoye, A. Olufunmi , Olayinka, A. I, Abimbola, A. F.
Pages: 9-34 Paper ID:174003-1704-1919-IJET-IJENS Published:August, 2017
Abstract: Groundwater occurrence and its chemical features inbasement aquifers are often products of localized geological controls and structure. This study was aimed at delineating zones of groundwater occurrence in Odo-Oba near Ogbomoso as well as ascertaining its chemical features. Four Horizontal Resistivity Profiling (HRP) traverses were studied within Odo-Oba town and two control sites; 500m and 1000m away. These were followed by twelve Vertical Electrical Soundings (VES). The dipole-dipole and Schlumberger arrays were adopted forthe HRP and VES, respectively.The VES data were filtered and inverted for correct depth matching using appropriate computer application software. Three to four subsurface geoelectric layers were identified. The resistivity and thickness of the topsoil ranged from 46.0 to 661.0 Ωm, and 0.5 to 1.2m, respectively. The weathered bedrock with resistivity and thickness which ranged from 16.0 – 156.0 Ωm and 1.5 – 26.0 m, respectively, were underlain by the fresh basement rock with resistivity of 124.0 Ωm - ∞ and undeterminable thicknesses. These delineated unconfined and fractured basement aquifers. Low resistivity values (< 20.0 Ωm) were recorded in stations close to the dumpsites, in contrast to high resistivity values (> 50.0 Ωm) and (>80.0 Ωm) obtained in VES stations sited within the town and at control sites respectively. Unconfined and fractured basement aquifers were delineated in Odo-Oba town. In conclusion, it was detected that distance is a major factor responsible for the seepage of the pollutants from the study area.The hand-dug wells that are closer to the waste dump site are vulnerable to pollution from the waste dump and this has caused both environmental and health risks among the populace.Hence,the need for identifying flaws in siting,design and construction of household’s wells and on-site waste disposal systems should be minimized with provisions of technical information by environmental protection establishment at the planning stage.Also continuous monitoring should be enforced to prevent an outbreak.
Keywords: Aquifer, Resistivity, Dumpsite, Health risks,Odo-obaTown.
Full Text (.pdf)  International Journals Of Engineering and Science | 809 KB



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IJET-IJENS Vol 17 Issue 04, BETA VERSION few more papers are coming.....