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Novel Approach for Power System Stability Analysis and Improvement: A Case Study Based on UPFC Application

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Intelligent Data Analytics for Power and Energy Systems

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 802))

Abstract

The exponential rise in the electrical power demand has led to various types of instability due to overburdening of the existing interconnected power systems. Voltage instability is one such phenomenon that can result in major blackouts. The primary cause of this problem is the collapsing of the transmission system due to the frequent and abrupt variations in the load, which gives rise to deviation in the normal operating conditions. In this chapter, the main focus is on detecting the most sensitive node (bus) in a modified IEEE-14 bus system and investigating a better and effective implementation of UPFC to improve the voltage profile and, thus, the voltage stability. For analyzing this condition, PSAT, a MATLAB-based Simulink and Simulation toolbox, which utilizes L-index method for voltage stability analysis and sensitive nodes determination, are used. The above setup is tested and compared for load variation in the step size of 5% from original power flow (OPF) to 40% load change with and without UPFC, and suitable conclusions are drawn from the results obtained so far.

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Abbreviations

ACMV:

Air-conditioning and mechanical ventilation

ANN:

Artificial neural network

CO2:

Carbon dioxide

CRAE:

Correlation attribute evaluation

DE:

Differential evolution

FNN:

Feedforward neural network

GA:

Genetic algorithm

GRAE:

Gain ratio attribute evaluation

HR:

Humidity ratio

HVAC:

Heating, ventilation, and air-conditioning

IGAE:

Information gain attribute evaluation

ORAE:

One R attribute evaluation

PIR:

Passive infrared

ppm:

Part per million

PSO:

Particle swarm optimization

RFAE:

Relief F attribute evaluation

RH:

Relative humidity

SA:

Simulated annealing

StdDev:

Standard deviation

SUAE:

Symmetrical uncertainty attribute evaluation

Temp.:

Temperature

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Author information

Authors and Affiliations

  1. B.I.T. Sindri, Dhanbad, Jharkhand, 828123, India

    Nikhil Kumar Sinha & Ramesh Devarapalli

  2. GITAM (Deemed to be University), Visakhapatnam, Andhra Pradesh, 530045, India

    Pulivarthi Nageswara Rao

Authors
  1. Nikhil Kumar Sinha
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  2. Ramesh Devarapalli
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  3. Pulivarthi Nageswara Rao
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Corresponding author

Correspondence to Ramesh Devarapalli .

Editor information

Editors and Affiliations

  1. BEARS, National University of Singapore (NUS), Singapore, Singapore

    Hasmat Malik

  2. Department of Electrical and Electronics Engineering, National Institute of Technology Karnataka, Surathkal, Karnataka, India

    Md. Waseem Ahmad

  3. THDC Institute of Hydropower Engineering and Technology, Chairman, Board of Governors, Tehri, Uttarakhand, India

    D.P. Kothari

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Sinha, N.K., Devarapalli, R., Rao, P.N. (2022). Novel Approach for Power System Stability Analysis and Improvement: A Case Study Based on UPFC Application. In: Malik, H., Ahmad, M.W., Kothari, D. (eds) Intelligent Data Analytics for Power and Energy Systems. Lecture Notes in Electrical Engineering, vol 802. Springer, Singapore. https://doi.org/10.1007/978-981-16-6081-8_6

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