i-manager Publications

i-manager's Journal on Power Systems Engineering (JPS)

Current Issue Vol. 12 Issue 1

Thermodynamic and Exergoeconomic Operation Optimization and Simulation of Steam Generation Solar Power Plant
Topology Transformation Approach for Optimal PMU Placement for Monitoring and Control of Power System
Performance Evaluation of Power System with HVDC Integration: Impact of SSSC and STATCOM on Power System Efficiency and Stability
Photovoltaic Systems: A Pollination-Based Optimization Approach for Critical Industrial Applications
Design of a Robust Controller for the Load Frequency Control of Interconnected Power System

Most Cited

Volume 10 Issue 4 January - March 2023

Research Paper

Exergoeconomic and Sensitivity Analyses of a Gas Turbine Power Plant using MINI-REFPROP and MATLAB SIMULINK

Malik F. Elmzughi* , Elhadi I. Dekam**

*-** Department of Mechanical Engineering, Faculty of Engineering, University of Tripoli, Tripoli, Libya.

Elmzughi, M. F., and Dekam, E. I. (2023). Exergoeconomic and Sensitivity Analyses of a Gas Turbine Power Plant using MINI-REFPROP and MATLAB SIMULINK. i-manager’s Journal on Power Systems Engineering, 10(4), 1-14. https://doi.org/10.26634/jps.10.4.19203

Abstract

In this paper, exergy, exergoeconomic, and exergoenvironmental analysis of a gas turbine cycle and its optimization have been carried out by MINI-Reference Fluid Properties (MINI-REFPROP) and Matrix Laboratory (MATLAB) SIMULINK. The parametric study was carried out based on the Specific Exergy Costing approach. The mathematical models were developed and presented regarding mass, energy, and economy. The Excel and MATLAB LIBRARY TOOLS BOX are used to perform thermodynamic properties and research analyses. The analyses lead to valuable economic status benchmarks. The exergoeconomic factor, relative cost, total cost of energy loss, and energy destruction for the combustion chamber and work output were determined. The parametric study was conducted, considering the effects of the gas turbine inlet temperature, air compressor inlet temperature, and compressor pressure ratio. For the considered case study status, the combustion chamber in the plant revealed the highest amount of energy destruction (85%), leading to the recommendation that more attention be paid to boilers in terms of design, selection, operation, and maintenance, while the combustion chamber has a high improvement potential (91%).

References

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[2]. Bolatturk, A., Coskun, A., & Geredelioglu, C. (2015). Thermodynamic and exergoeconomic analysis of Çayırhan thermal power plant. Energy Conversion and Management, 101, 371-378.

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[5]. Ehyaei, M. A., Mozafari, A., & Alibiglou, M. H. (2011). Exergy, economic & environmental (3E) analysis of inlet fogging for gas turbine power plant. Energy, 36(12), 6851-6861.

[6]. Ehyaei, M. A., Tahani, M., Ahmadi, P., & Esfandiari, M. (2015). Optimization of fog inlet air cooling system for combined cycle power plants using genetic algorithm. Applied Thermal Engineering, 76, 449-461.

[7]. El-Emam, R. S., & Dincer, I. (2013). Exergy and exergoeconomic analyses and optimization of geothermal organic Rankine cycle. Applied Thermal Engineering, 59(1-2), 435-444.

[8]. Elmzughi, M. F., Dekam, E. I., Radwan, E. M., & Bahoor, M. A. (2020c). Exergoeconomic and optimization analyses of cogeneration steam power plants based on the thermoeconomic approach. i-manager's Journal on Future Engineering & Technology, 16(2), 22-31.

[9]. Elmzughi, M. F., Radwan, E. M., Bahoor, M. A., & Dekam, E. I. (2020a). Advanced exergoeconomic and exergy cost sensitivity analyses of steam power plants. International Journal of Scientific Engineering and Applied Science, 6(8), 16-32.

[10]. Elmzughi, M. F., Radwan, E. M., Bahoor, M. A., & Dekam, E. I. (2020b). Part load 2nd law analyses of, 3- pressure stage turbines with 6 heaters, 350 MW power plants. Journal of Research in Mechanical Engineering, 6(1), 25-33.

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Research Paper

Design and Performance Analysis of Opposition-Based Whale Optimization Algorithm Tuned Power System Stabilizer for Multimachine Stability

B. Chiranjeev Rao* , Sushil Kumhar**

*-** Department of Electrical & Electronics Engineering, Shri Shankaracharya Technical Campus, Shri Shankaracharya Group of Institutions, Bhilai, Chhattisgarh, India.

Rao, B. C., and Kumhar, S. (2023). Design and Performance Analysis of Opposition-Based Whale Optimization Algorithm Tuned Power System Stabilizer for Multimachine Stability. i-manager’s Journal on Power Systems Engineering, 10(4), 15-26. https://doi.org/10.26634/jps.10.4.19277

Abstract

A novel Opposition-based Whale Optimization Algorithm (OWOA) is utilized to build a power stabilizer and increase multimachine stability. A Conventional Power System Stabilizer (CPSS) with a lead-lag compensator is employed, and OWOA fine-tunes its settings using an objective function that minimizes the integral absolute error of speed deviations of generator rotors. Various time-domain simulations were performed to validate the superior performance of the proposed Power System Stabilizers (PSS). Furthermore, the performance of the proposed PSS is compared to a Whale Optimization Algorithm (WOA)-based PSS and a conventional PSS. The obtained results demonstrate the effective performance of the proposed OWOA-based PSS for power oscillation damping.

References

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Research Paper

An Efficient Ensemble Based Protection Strategy for DC Microgrid

Sonal* , Yogesh Tiwari**

*-** Department of Electrical & Electronics Engineering, Shri Shankaracharya Group of Institutions, Bhilai, Chhattisgarh, India.

Sonal, and Tiwari, Y. (2023). An Efficient Ensemble Based Protection Strategy for DC Microgrid. i-manager’s Journal on Power Systems Engineering, 10(4), 27-37. https://doi.org/10.26634/jps.10.4.19271

Abstract

A significant amount of interest from the scientific community has been focused on Direct Current (DC) microgrids in recent years, as a direct result of the proliferation of appliances that run on DC power. Nevertheless, the acceptability of DC microgrids by power utilities is still restricted owing to the challenges connected with the construction of a dependable protection system. This is because obtaining dependable protection for DC microgrids might be difficult due to the large size of DC fault current, its quick rate of rise, and the lack of zero crossing. In addition, the intermittent nature of the power produced by non-traditional distributed generators necessitates adaptability in response to a wide range of climatic circumstances. The method used in this study to solve the problems outlined above is developing an Ensemble of Decision Tree-based protection solutions for a multi-terminal DC microgrid. The plan developed accommodates the intermittent nature of renewable energy sources. It only uses information that is local to the current and voltage signals, which allows it to execute the duties of fault detection and classification, and prevents the disadvantages associated with communication networks, such as data loss and delay.

References

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[8]. Guerrero, J. M., & Tan, D. F. (2017). Guest editorial special issue on structured DC microgrids. IEEE Journal of Emerging and Selected Topics in Power Electronics, 5(3), 925-927.

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Review Paper

Critical Review on Integration of Electric Vehicles into Residential Distribution System

Jayababu Badugu* , G. Nageswara Reddy, Kurakula Vimala Kumar*

* Department of Electrical and Electronics Engineering, Vignan's LARA Institute of Technology and Science, Vadlamudi, India.

Department of Electrical and Electronics Engineering, YSR Engineering College of Yogi Vemana University, Proddatur, Andhra Pradesh, India.

* Department of Electrical and Electronics Engineering, JNTUN, Narasaraopet, Andhra Pradesh, India.

Badugu, J., Reddy, G. N., and Kumar, K. V. (2023). Critical Review on Integration of Electric Vehicles into Residential Distribution System. i-manager’s Journal on Power Systems Engineering, 10(4), 38-52. https://doi.org/10.26634/jps.10.4.19215

Abstract

This paper presents a literature survey on various issues related to Electric Vehicles (EV) from an Electric Power Systems (EPS) perspective. For the past few years, the EPS has been transforming exceptionally, necessitating a substantial change in the network configuration, operation, and control of conventional power systems. Especially, distribution networks have undergone a significant transformation. Moreover, new loads like Electric Vehicles are going to be integrated with the electrical grid, and these EV loads will modify the consumption of electrical energy. Electric Vehicles will have a great impact on the distribution network because of their nonlinear behavior. At present, most of the existing EVs are connected to the residential distribution network for charging, which usually increases the demand for residential power. Consequently, unplanned charging of a huge number of EVs will result in an excessive energy demand that will result in several issues, such as power outages, voltage fluctuations, thermal stress on the lines, and harmonic pollution.

References

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Review Paper

Enhancing Power System Stability with AI-Based Relaying Algorithms – A Review

RAJESH* , D. Sam Harison**

* Department of Electrical and Electronics Engineering, C. S. I. Institute of Technology, Thovalai, Tamil Nadu, India.

** Department of Electrical and Electronics Engineering, Rohini College of Engineering and Technology, Kanyakumari, Tamil Nadu, India.

Rajesh, C. R., and Harison, D. S. (2023). Enhancing Power System Stability with AI-Based Relaying Algorithms – A Review. i-manager’s Journal on Power Systems Engineering, 10(4), 53-59. https://doi.org/10.26634/jps.10.4.19373

Abstract

Artificial Intelligence (AI) and Machine Learning (ML) are emerging technologies that are increasingly being used to improve various aspects of power systems. In particular, AI-based relaying algorithms have the potential to revolutionize the way power systems are protected from faults and failures. Relaying algorithms play a critical role in ensuring the stability and reliability of power systems. However, traditional relay protection algorithms face several challenges, including difficulty handling complex and dynamic systems, limited fault detection accuracy, and slow response times to changing conditions. AI-based relaying algorithms can address these challenges by leveraging the power of Artificial Intelligence and Machine Learning. This paper presents an overview of AI-based relaying algorithms and their potential applications in power systems. It explores the use of AI techniques such as Artificial Neural Networks (ANN), Decision Trees (DT), and expert systems for improving the accuracy and reliability of relay protection. It also discuss the steps involved in AI-based relaying algorithms, including feature extraction, classification, and result output. This paper highlights the importance of further research and development in this field to fully realize the benefits of AI-based relaying algorithms.

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i-manager's Journal on Power Systems Engineering (JPS)

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Volume 10 Issue 4 January - March 2023

Exergoeconomic and Sensitivity Analyses of a Gas Turbine Power Plant using MINI-REFPROP and MATLAB SIMULINK

Malik F. Elmzughi* , Elhadi I. Dekam**

*-** Department of Mechanical Engineering, Faculty of Engineering, University of Tripoli, Tripoli, Libya.

Elmzughi, M. F., and Dekam, E. I. (2023). Exergoeconomic and Sensitivity Analyses of a Gas Turbine Power Plant using MINI-REFPROP and MATLAB SIMULINK. i-manager’s Journal on Power Systems Engineering, 10(4), 1-14. https://doi.org/10.26634/jps.10.4.19203

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Design and Performance Analysis of Opposition-Based Whale Optimization Algorithm Tuned Power System Stabilizer for Multimachine Stability

B. Chiranjeev Rao* , Sushil Kumhar**

*-** Department of Electrical & Electronics Engineering, Shri Shankaracharya Technical Campus, Shri Shankaracharya Group of Institutions, Bhilai, Chhattisgarh, India.

Rao, B. C., and Kumhar, S. (2023). Design and Performance Analysis of Opposition-Based Whale Optimization Algorithm Tuned Power System Stabilizer for Multimachine Stability. i-manager’s Journal on Power Systems Engineering, 10(4), 15-26. https://doi.org/10.26634/jps.10.4.19277

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An Efficient Ensemble Based Protection Strategy for DC Microgrid

Sonal* , Yogesh Tiwari**

*-** Department of Electrical & Electronics Engineering, Shri Shankaracharya Group of Institutions, Bhilai, Chhattisgarh, India.

Sonal, and Tiwari, Y. (2023). An Efficient Ensemble Based Protection Strategy for DC Microgrid. i-manager’s Journal on Power Systems Engineering, 10(4), 27-37. https://doi.org/10.26634/jps.10.4.19271

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Critical Review on Integration of Electric Vehicles into Residential Distribution System

Jayababu Badugu* , G. Nageswara Reddy**, Kurakula Vimala Kumar***

Badugu, J., Reddy, G. N., and Kumar, K. V. (2023). Critical Review on Integration of Electric Vehicles into Residential Distribution System. i-manager’s Journal on Power Systems Engineering, 10(4), 38-52. https://doi.org/10.26634/jps.10.4.19215

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Enhancing Power System Stability with AI-Based Relaying Algorithms – A Review

RAJESH* , D. Sam Harison**

* Department of Electrical and Electronics Engineering, C. S. I. Institute of Technology, Thovalai, Tamil Nadu, India. ** Department of Electrical and Electronics Engineering, Rohini College of Engineering and Technology, Kanyakumari, Tamil Nadu, India.

Rajesh, C. R., and Harison, D. S. (2023). Enhancing Power System Stability with AI-Based Relaying Algorithms – A Review. i-manager’s Journal on Power Systems Engineering, 10(4), 53-59. https://doi.org/10.26634/jps.10.4.19373

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Jayababu Badugu* , G. Nageswara Reddy, Kurakula Vimala Kumar*

* Department of Electrical and Electronics Engineering, C. S. I. Institute of Technology, Thovalai, Tamil Nadu, India.

** Department of Electrical and Electronics Engineering, Rohini College of Engineering and Technology, Kanyakumari, Tamil Nadu, India.