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 8 Issue 4 November - January 2021

Research Paper

Application of Metaheuristic Algorithms for Optimal Power Flow Solutions with Centre Node Unified Power Flow Controller

Yeshitela Shiferaw Maru* , K. Padma**

*-** Department of Electrical Engineering, Andhra University, College of Engineering (A),Visakhapatnam, Andhra Pradesh, India.

Maru, S. M., and Padma, K. (2021). Application of Metaheuristic Algorithms for Optimal Power Flow Solutions with Centre Node Unified Power Flow Controller. i-manager's Journal on Power Systems Engineering, 8(4), 1-17. https://doi.org/10.26634/jps.8.4.17814

Abstract

This paper presents the optimal power flow solution using Multi-Population based Modified Jaya (MPMJ) algorithm with Centre-Node Unified Power flow controller (C-UPFC) FACTS device. The C-UPFC is the current and advanced FACTS device to control the flow of active power and voltage magnitude at the line and bus. The C-UPFC is the basic derivative of the original UPFC device. Still, in the C-UPFC, this device connection is inserted in series with the transmission line and connected at the transmission line's midpoint. Therefore, The C-UPFC can independently regulate active and reactive power flows at both line ends and AC voltage magnitude at line midpoint. The optimal location of the C-UPFC device in the transmission line is determined by the Analytical Hierarchy Process (AHP) method by considering the objective functions given by priority order values. Therefore, the proposed MPMJ optimization algorithm applied with C-UPFC for optimal values of total fuel cost of generation, real power loss, the total voltage deviation, and the sum of squared voltage stability index on the standard IEEE-57 bus test system. The results obtained by the proposed MPMJ algorithm are better solutions effectively in the presence of C-UPFC device and is compared with the recent algorithm reported in the literature.

References

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[24]. Trivedi, I. N., Jangir, P., Parmar, S. A., & Jangir, N. (2018). Optimal power flow with voltage stability improvement and loss reduction in power system using Moth-Flame Optimizer. Neural Computing and Applications, 30(6), 1889-1904. https://doi.org/10.1007/s00521-016-27 94-6

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Research Paper

A Parametric Study with Exergy Cost Sensitivity Analysis and Life-Cycle Assessment for a Cogeneration Steam Power Cycle

Malik F. Elmzughi* , Elham Musa Radwan , Mawadda A. Bahoor *, Elhadi Ibrahim Dekam ****

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

Elmzughi, M. F., Radwan, E. M., Bahoor, M. A., and Dekam, E. I. (2021). A Parametric Study with Exergy Cost Sensitivity Analysis and Life-Cycle Assessment for a Cogeneration Steam Power Cycle. i-manager's Journal on Power Systems Engineering, 8(4), 18-28. https://doi.org/10.26634/jps.8.4.17928

Abstract

In this paper, exergy, exergoeconomic, and exergy cost sensitivity analyses of a cogeneration steam power plant cycle and a parametric study were carried out based on the exergy cost theory. The mathematical models were developed and presented regarding mass, energy, exergy, and economy. The thermodynamic properties and research analyses are done by employing the THERMAX, EXCEL and MathWorks software packages. The analyses leads to have valuable economic status benchmarks. The exergoeconomic factor, total cost of exergy loss, and unit cost of steam and cost of work were determined. The parametric study has been conducted, considering the effects of the annual working number of hours, interest rate, boiler maximum temperature, and environmental temperature. The exergoeconomic factor, total cost, unit costs of work and steam, rise with the escalation in the interest rate, while they drop with the rise in the annual working number of hours. The exergoeconomic factor and total cost are 0.5 and 9,000 $/h, respectively, for the considered normal operating status, while the unit costs of work and steam are 0.025 $/kWh and 0.035 $/kWh, respectively, for an interest rate of 14%. The achieved present results could lead site engineers, operators, and management to effectively establish an upgrade for the energy-related cycle performance.

References

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[6]. Elmzughi, M. F., Radwan, E. M., Bahoor, M. A., & Dekam, E. I. (2020a). 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.

[7]. Elmzughi, M. F., Radwan, E. M., Bahoor, M. A., & Dekam, E. I. (2021). Exergoeconomic and optimization analyses of cogeneration steam power plants based on the specific exergy costing approach. i-manager's Journal on Future Engineering & Technology, 16(2).

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

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Research Paper

Voltage Stability Enhancement and Power Losses Reduction in a Transmission System by Optimally Identifying the Various Facts Devices

R. Siva Subramanyam Reddy*

Department of Electrical Engineering, Srikalahasteeswara Institute of Technology, Srikalahasti, Andhra Pradesh, India.

Reddy, S. S. (2021). Voltage Stability Enhancement and Power Losses Reduction in a Transmission System by Optimally Identifying the Various Facts Devices. i-manager's Journal on Power Systems Engineering, 8(4), 29-38. https://doi.org/10.26634/jps.8.4.17871

Abstract

Present day complex power system network especially power transmission is being operated under highly stressed condition due to continuous increase in electric power demand day by day in various sectors such as industrial, commercial and domestic etc. As long as load increases, the reactive power demand also increases abruptly. The main objective of the present research paper is to develop a strange way of analyzing the power system conditions by locating various FACTS devices such as STATCOM, SSSC and UPFC which improves voltage profile and minimize network losses. FACTS devices with suitable placement will meet the required reactive power demand of the complex and stressed power transmission system. In this paper the placement of FACTS devices using GA, PSO and HGAPSO heuristic techniques are introduced and the results are compared on IEEE 30 bus test system in a MATLAB environment. The HGAPSO heuristic technique gives effective placement than GA and PSO heuristic techniques are presented in this paper

References

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[16]. Sharma, D., Gaur, P., & Mittal, A. P. (2014). Comparative analysis of hybrid GAPSO optimization technique with GA and PSO methods for cost optimization of an off-grid hybrid energy system. Energy Technology & Policy, 1(1), 106-114. https://doi.org/10.1080/23317000. 2014.969450

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[18]. Zhang, X. P. (2003). Advanced modeling of the multicontrol functional static synchronous series compensator (SSSC) in Newton power flow. IEEE Transactions on Power Systems, 18(4), 1410-1416. https://doi.org/10.1109/TPWRS. 2003.818690

[19]. Zhang, X. P., Rehtanz, C., & Pal, B. (2012). Flexible AC transmission systems: Modelling and control. Springer Science & Business Media.

[20]. Zhang, X. P., Xue, C. F., & Godfrey, K. R. (2004). Modelling of the static synchronous series compensator (SSSC) in three-phase Newton power flow. IEE Proceedings- Generation, Transmission and Distribution, 151(4), 486- 494. https://doi.org/10.1049/ip-gtd:20040473

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Research Paper

Frequency Stabilization of Multi Area Autonomous Hybrid Power System using Single and Multi Objective SALP Swarm Algorithm

V. S. R. PAVAN KUMAR* , Nerella Sameera , M. Sunil Kumar *, J. Ayyappa ****

,- Department of Electrical and Electronics Engineering, Sir C R Reddy College of Engineering, Eluru, Andhra Pradesh, India.

Department of Information Technology, Sir C R Reddy College of Engineering, Eluru, Andhra Pradesh, India.

Neeli, V. S. R. P. K., Sameera, N., Kumar, M. S., and Ayyappa, J. (2021). Frequency Stabilization of Multi Area Autonomous Hybrid Power System using Single and Multi Objective SALP Swarm Algorithm. i-manager's Journal on Power Systems Engineering, 8(4), 39-49. https://doi.org/10.26634/jps.8.4.17947

Abstract

This paper explores the design of load frequency controller for a multi area (two area) autonomous hybrid power system in which Distributed Generation (DG) resources are integrated. A novel controller such as 2DOFPID controller is established as a secondary controller. The controller gains are to be tuned with most popular meta-heuristic swarm intelligent technique named as Salp swarm alogrithm. The simulation results alleviates the efficacy and superiority of Salp Swarm Algorithm (SSA) being compared with other soft computing techniques such as Grasshopper optimization algorithm (GOA), Ant lion optimizer (ALO) and Particle swarm optimization (PSO) carried out under five different categories of load uncertainties.

References

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[2]. Eberhart, R., & Kennedy, J. (1995). Particle swarm optimization. In Proceedings of the IEEE International Conference on Neural Networks (Vol. 4, pp. 1942-1948).

[3]. Gaur, P., Soren, N., & Bhowmik, D. (2018). Impact assessment of vehicle-to-grid technology in LFC of multiarea solar-thermal power system. International Journal of Renewable Energy Research (IJRER), 8(3), 1580-1590.

[4]. Lal, D. K., & Barisal, A. K. (2017, August). Load frequency control of AC microgrid interconnected thermal power system. In IOP Conference Series: Materials Science and Engineering (Vol. 225, No. 1, p. 012090). IOP Publishing. https://doi.org/10.1088/1757-899X/225/1/012 090

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[6]. Mirjalili, S. (2015). The ant lion optimizer. Advances in Engineering Software, 83, 80-98. https://doi.org/10.1016/j. advengsoft.2015.01.010

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[9]. Saremi, S., Mirjalili, S., & Lewis, A. (2017). Grasshopper optimisation algorithm: Theory and application. Advances in Engineering Software, 105, 30-47. https://doi.org/ 10.1016/j.advengsoft.2017.01.004

[10]. Shankar, G., & Mukherjee, V. (2016). Load frequency control of an autonomous hybrid power system by quasioppositional harmony search algorithm. International Journal of Electrical Power & Energy Systems, 78, 715-734. https://doi.org/10.1016/j.ijepes.2015.11.091

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Research Paper

Modelling and Analysis of Wind Energy System Connected with Grid and Total Harmonic Distortion Evaluation Based on Different Condition and Filter Configuration

Abhishek Verma* , Devendra Kumar , Ritu Gautam *

*-*** Department of Electrical and Electronics Engineering, Bhilai Institute of Technology, Durg, Chhattisgarh, India.

Verma, A., Kumar, D., and Gautam, R. (2021). Modelling and Analysis of Wind Energy System Connected with Grid and Total Harmonic Distortion Evaluation Based on Different Condition and Filter Configuration. i-manager's Journal on Power Systems Engineering, 8(4), 50-54. https://doi.org/10.26634/jps.8.4.17940

Abstract

This paper deals with a wind energy conversion system connected with grid. In this system rotor side and grid side converters are used to cope with reactive powers generated and to get the balanced output at the load side. A very effective control technique has been developed based on pulse width modulation to make the line voltages at the point of common coupling. Various filters have been used in this system and according to different filter parameters and design, the total harmonic distortion (THD) has been compared and calculated accordingly.

References

[1]. Ackermann, T. (2005). Wind power in power systems (2^nd ed.). Chichester, UK: John Wiley. https://doi.org/10.1002/ 9781119941842

[2]. Bhende, C. N., Mishra, S., & Malla, S. G. (2011). Permanent magnet synchronous generator-based standalone wind energy supply system. IEEE Transactions on Sustainable Energy, 2(4), 361-373. https://doi.org/ 10.1109/TSTE.2011.2159253

[3]. Chinchilla, M., Arnaltes, S., & Burgos, J. C. (2006). Control of permanent-magnet generators applied to variable-speed wind-energy systems connected to the grid. IEEE Transactions on Energy Conversion, 21(1), 130- 135. https://doi.org/10.1109/TEC.2005.853735

[4]. Nath, S., & Rana, S. (2011). The modeling and simulation of wind energy based power system using MATLAB. International Journal of Power System Operation and Energy Management, 1(2), 12-17.

[5]. Polinder, H., Van der Pijl, F. F., De Vilder, G. J., & Tavner, P. J. (2006). Comparison of direct-drive and geared generator concepts for wind turbines. IEEE Transactions on Energy Conversion, 21(3), 725-733. https://doi.org/ 10.1109/TEC.2006.875476

[6]. Steinke, J. K. (1999). Use of an LC filter to achieve a motor-friendly performance of the PWM voltage source inverter. IEEE Transactions on Energy Conversion, 14(3), 649-654. https://doi.org/10.1109/60.790930

[7]. Upadhyay, S. K., Tripathi, S., Singh, N., & Srivastava, G. (2013). Optimization and control of a variable speed wind turbine with a permanent magnet synchronous generator. International Journal of Engineering Trends and Technology (IJETT), 4(6), 2620-2627.

[8]. Verma, J., Tiwari, Y., Mishra, A., & Singh, N. (2014). Performance analysis and simulation of wind energy conversion system connected with grid. International Journal of Recent Technology and Engineering, 2(6), 33-38.

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

Current Issue Vol. 12 Issue 1

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Most Cited

Volume 8 Issue 4 November - January 2021

Application of Metaheuristic Algorithms for Optimal Power Flow Solutions with Centre Node Unified Power Flow Controller

Yeshitela Shiferaw Maru* , K. Padma**

*-** Department of Electrical Engineering, Andhra University, College of Engineering (A),Visakhapatnam, Andhra Pradesh, India.

Maru, S. M., and Padma, K. (2021). Application of Metaheuristic Algorithms for Optimal Power Flow Solutions with Centre Node Unified Power Flow Controller. i-manager's Journal on Power Systems Engineering, 8(4), 1-17. https://doi.org/10.26634/jps.8.4.17814

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A Parametric Study with Exergy Cost Sensitivity Analysis and Life-Cycle Assessment for a Cogeneration Steam Power Cycle

Malik F. Elmzughi* , Elham Musa Radwan **, Mawadda A. Bahoor ***, Elhadi Ibrahim Dekam ****

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

Elmzughi, M. F., Radwan, E. M., Bahoor, M. A., and Dekam, E. I. (2021). A Parametric Study with Exergy Cost Sensitivity Analysis and Life-Cycle Assessment for a Cogeneration Steam Power Cycle. i-manager's Journal on Power Systems Engineering, 8(4), 18-28. https://doi.org/10.26634/jps.8.4.17928

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Voltage Stability Enhancement and Power Losses Reduction in a Transmission System by Optimally Identifying the Various Facts Devices

R. Siva Subramanyam Reddy*

Department of Electrical Engineering, Srikalahasteeswara Institute of Technology, Srikalahasti, Andhra Pradesh, India.

Reddy, S. S. (2021). Voltage Stability Enhancement and Power Losses Reduction in a Transmission System by Optimally Identifying the Various Facts Devices. i-manager's Journal on Power Systems Engineering, 8(4), 29-38. https://doi.org/10.26634/jps.8.4.17871

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Frequency Stabilization of Multi Area Autonomous Hybrid Power System using Single and Multi Objective SALP Swarm Algorithm

V. S. R. PAVAN KUMAR* , Nerella Sameera **, M. Sunil Kumar ***, J. Ayyappa ****

*,***-**** Department of Electrical and Electronics Engineering, Sir C R Reddy College of Engineering, Eluru, Andhra Pradesh, India. ** Department of Information Technology, Sir C R Reddy College of Engineering, Eluru, Andhra Pradesh, India.

Neeli, V. S. R. P. K., Sameera, N., Kumar, M. S., and Ayyappa, J. (2021). Frequency Stabilization of Multi Area Autonomous Hybrid Power System using Single and Multi Objective SALP Swarm Algorithm. i-manager's Journal on Power Systems Engineering, 8(4), 39-49. https://doi.org/10.26634/jps.8.4.17947

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Modelling and Analysis of Wind Energy System Connected with Grid and Total Harmonic Distortion Evaluation Based on Different Condition and Filter Configuration

Abhishek Verma* , Devendra Kumar **, Ritu Gautam ***

*-*** Department of Electrical and Electronics Engineering, Bhilai Institute of Technology, Durg, Chhattisgarh, India.

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Malik F. Elmzughi* , Elham Musa Radwan , Mawadda A. Bahoor *, Elhadi Ibrahim Dekam ****

V. S. R. PAVAN KUMAR* , Nerella Sameera , M. Sunil Kumar *, J. Ayyappa ****

,- Department of Electrical and Electronics Engineering, Sir C R Reddy College of Engineering, Eluru, Andhra Pradesh, India.

Department of Information Technology, Sir C R Reddy College of Engineering, Eluru, Andhra Pradesh, India.

Abhishek Verma* , Devendra Kumar , Ritu Gautam *