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Load flow and contingency analysis for transmission line outage

Dessalegn Bitew Aeggegn Ayodeji Olalekan Salau Yalew Gebru

Archives of Electrical Engineering | 2020 | vol. 69 | No 3 | 581-594 | DOI: 10.24425/aee.2020.133919

Keywords contingency analysis DIgSILENT software line outage Newton Raphson method

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Abstract

In recent years, power systems have been pushed to operate above their limits due to the increase in the demand for energy supply and its usage. This increase is accompanied by various kinds of obstructions in power transmission systems. A power system is said to be secured when it is free from danger or risk. Power systems security deals with the ability of the system to withstand any contingencies without any consequences. Contingencies are potentially harmful disturbances which occur during the steady state operation of a power system. Load flow constitutes the most important study in a power system for planning, operation, and expansion. Contingency selection is performed by calculating two kinds of performance indices; an active performance index (PIP) and reactive power performance index (PIV) for a single transmission line outage. In this paper, with the help of the Newton Raphson method, the PIP and PIV were calculated with DIgSILENT Power Factory simulation software and contingency ranking was performed. Based on the load flow results and performance indexes, the Ethiopian Electric Power (EEP) North-West region network is recommended for an upgrade or the reactive power or series compensators should be constructed on the riskiest lines and substations.

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Authors and Affiliations

Dessalegn Bitew Aeggegn

Ayodeji Olalekan Salau

Yalew Gebru

Optimization model the pipe diameter in the drinking water distribution network using multi-objective genetic algorithm

Sulianto Ernawan Setiono I Wayan Yasa

Journal of Water and Land Development | 2021 | No 48 | 55-64 | DOI: 10.24425/jwld.2021.136146

Keywords diameter genetic algorithm network Newton–Raphson method optimum pipe

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Abstract

Under conditions of gravity flow, the performance of a distribution pipe network for drinking water supply can be measured by investment cost and the difference in real and target pressures at each node to ensure fairness of the service. Therefore, the objective function for the optimization in the design of a complex gravity flow pipe network is a multi-purpose equation system set up to minimize the above-mentioned two parameters. This article presents a new model as an alternative solution to solving the optimization equation system by combining the Newton–Raphson and genetic algorithm (GA) methods into a single unit so that the resulting model can work effectively. The Newton–Raphson method is used to solve the hydraulic equation system in pipelines and the GA is used to find the optimal pipe diameter combination in a net-work. Among application models in a complex pipe network consisting of 12 elements and 10 nodes, this model is able to show satisfactory performance. Considering variations in the value of the weighting factor in the objective function, opti-mal conditions can be achieved at the investment cost factor (ω1) = 0.75 and the relative energy equalization factor at the service node (ω2) = 0.25. With relevant GA input parameters, optimal conditions are achieved at the best fitness value of 1.016 which is equivalent to the investment cost of USD 56.67 thous. with an average relative energy deviation of 1.925 m.

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Bibliography

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Sulianto

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Ernawan Setiono

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I Wayan Yasa

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University of Muhammadiyah Malang, Faculty of Engineering, Jl. Raya Tlogomas No. 246, 65114, Malang, Indonesia
Mataram University, Faculty of Engineering, Mataram, Indonesia

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Load flow and contingency analysis for transmission line outage

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Authors and Affiliations

Optimization model the pipe diameter in the drinking water distribution network using multi-objective genetic algorithm

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Bibliography

Authors and Affiliations