A Fuzzy Based Efficient Load Flow Analysis

Chakravorty, Jaydeep; Chakravorty, Sandeep; Ghosh, Smarajit

doi:10.7763/ijcee.2009.v1.63

Cited by 7 publications

(5 citation statements)

References 16 publications

(16 reference statements)

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“…It is of great importance that electrical load flow studies are conducted to monitor and control the load and voltage profiles in a power systems network. This ensures effective electrical network performance and reduces disruption to operations unexpectedly and savings on operating and maintenance costs and loss of production [14]. Network modelling is useful for network planners, designers and operators.…”

Section: Electrical Network Modelling and Load Flow Studymentioning

confidence: 99%

Electrical Load Flow Analysis of 132/33/11 kV Port of Durban’s Substation

Mnukwa

Saha

2020

JERA

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The Port of Durban (PoD) is currently upgrading its existing power supply to a supply voltage of 132 kV. The existing 33 kV supply cables are old and have exceeded their designed life resulting in unplanned power outages. The existing 33 kV switchgear is old and obsolete as a result it is difficult to maintain. The existing maximum demand capacity will not be able to cater for the additional loads required for the planned expansion developments.The electrical load flow is a very important and fundamental tool for the analysis of any power systems and in the operations as well as planning stages. The electrical load flow study was conducted using PowaMaster software to analyse the behaviour of PoD’s electrical network post implementation of the new substation onto the currently existing network. In performing the electrical load flow study, load diversification is one of the critical input parameters that was considered because it is a true representation of the network behavior. The load forecasting was based on the planned developments commissioned between 2017 and 2027. The electrical load flow study was also to validate if all the new selected reticulation cables and transformers as part of the design have been correctly sized and will be able to operate reliably without compromising security of firm supply with the implementation of all the planned future loads. This report entails the results of the electrical load flow study that was conducted to analyse the voltage stability and system reliability of the PoD’s electrical network in conjunction with new 132/33 kV Langeberg Substation.

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Section: Electrical Network Modelling and Load Flow Studymentioning

confidence: 99%

Electrical Load Flow Analysis of 132/33/11 kV Port of Durban’s Substation

Mnukwa

Saha

2020

JERA

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“…The model must describe the characteristics of individual network components as well as the relations that govern the interconnection of these elements. The elements of a network matrix depend on the selection of the independent variables, which can be either currents or voltages, correspondingly the elements of the network matrix will be impedances or admittances (McDonald, 2000;Johnson et al, 2005;Chakravorty et al, 2009;Kumarasamy et al, 2012). The electrical characteristics of the individual network components can be presented in the form of a primitive network matrix.…”

Section: Problem Formulation Using Graph Theorymentioning

confidence: 99%

Optimal power flow control of power transmission networks using graph algorithms

Chitra¹,

Devarajan²

2014

Journal of Vibration and Control

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In this paper optimal power flow control of power transmission networks using graph theory is presented. Graph theory is employed to trace the optimal path of power flow in transmission lines. Graph theory-based search algorithms such as Depth First Search and Breadth First Search are used for determining the sequence of tracing of nodes. Loops in the network are formed such that each loop contains at least one active source. The algorithms are tested on a six bus system using MATLAB programs. Considering the real power losses and the time required for computation of power flow tracing, the graph algorithms give better results compared to the conventional Newton-Raphson method.

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“…In the last decade, Krylov subspace methods [9,10], and fuzzy logic [11,12], have both been used to analyze load flow. However, because they take a long time to compute, these techniques cannot be employed for online system monitoring and control.…”

Section: Introductionmentioning

confidence: 99%

Fast assessment of the voltage stability using reconfigured power system network and artificial neural network approaches

Gupta,

Mallik

2023

Eng. Res. Express

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Planning and running power systems must take voltage stability into account. Instability is mostly caused by the power system's failure to supply the demand for reactive power. The voltage stability margin must be understood by utilities if they are to operate the power system with the highest level of security and dependability. This paper uses reconfigured 12 bus, 10 bus, and 8-bus reconfigured networks of the interconnected IEEE 14 bus system to demonstrate the proposed quick method for assessing the voltage stability. The original (IEEE 14 bus) and the reconfigured (12 bus, 10 bus, and 8-bus) systems' voltage stability has been evaluated using the line stability index indicators: fast voltage stability index (FVSI), line voltage stability index (LVSI), and line stability index (Lmn). Based on the maximum loadability factor, the contingencies for the original and reconfigured systems are ranked. The system loadability factor is used as the input parameter, and the LVSI, Lmn, and FVSI indices for the critical line under critical contingency are used as an output to train the ANN network. It has been found that there is no discernible difference between the actual (NR method) and predicted (ANN approach) output. For accessing the voltage stability of the IEEE 14 bus system by its reconfigured networks using the proposed approach, the computational time and error are very low, showing the effectiveness, rapidity, and accuracy of the suggested approach.

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A Fuzzy Based Efficient Load Flow Analysis

Cited by 7 publications

References 16 publications

Electrical Load Flow Analysis of 132/33/11 kV Port of Durban’s Substation

Electrical Load Flow Analysis of 132/33/11 kV Port of Durban’s Substation

Optimal power flow control of power transmission networks using graph algorithms

Fast assessment of the voltage stability using reconfigured power system network and artificial neural network approaches

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