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 12 Issue 1 April - June 2024

Research Paper

Thermodynamic and Exergoeconomic Operation Optimization and Simulation of Steam Generation Solar Power Plant

Malik F. Elmzughi* , Ahmed Akasha, Mohammed A. Elhaj*, Ayoub A. Altwibi****

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

Elmzughi, M. F., Akasha, A., Elhaj, M. A., and Altwibi, A. A. (2024). Thermodynamic and Exergoeconomic Operation Optimization and Simulation of Steam Generation Solar Power Plant. i-manager’s Journal on Power Systems Engineering, 12(1), 1-15. https://doi.org/10.26634/jps.12.1.21175

Abstract

Steam power generation is one of the most important energy productions in the world and needs to be improved to reduce the greenhouse effect while increasing electricity production. This paper deals with the energy, exergy, and exergoeconomic analysis of a steam-generating solar power plant. A general methodology is presented to define and calculate the exergy efficiency, exergy destruction, exergoeconomic factors, total costs, improvement potentials, and exergy costs in thermal systems. The methodology is based on a specific exergy cost approach and a sensitivity cost analysis. The thermodynamic properties of the working fluid are determined using THERMAX and MATLAB software packages. For the considered normal operating and economic conditions, the percentage of exergy destruction relative to the total exergy destruction and potential improvement of the boiler was found to be the highest at 86% and 85.3%, respectively. The exergoeconomic coefficient of the system is calculated with a value of 0.52. The total cost of exergy losses is $5939.6 per hour. Furthermore, the results of the solar direct evaporation analysis show that the behavior of the exergoeconomic coefficient in January and July was calculated with values of 0.64 and 0.34, respectively. The total costs are $3010.4 and $5480 per hour, respectively. Obtaining specific values and clear parameter influences is a valuable achievement and helps field engineers and operators effectively perform their individual tasks while taking into account the conflicts between energy consumption, exergy and costs.

References

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[6]. 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.

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

[8]. Elmzughi, M. F., Radwan, E. M., Bahoor, M. A., & Dekam, E. I. (2020). 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), 28-38.

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

Topology Transformation Approach for Optimal PMU Placement for Monitoring and Control of Power System

Shreya K. Mysore* , Shekhappa Ankaliki**

*-** Department of Electrical and Electronics Engineering, SDM College of Engineering and Technology, Dharwad, Karnataka, India.

Mysore, S. K., and Ankaliki, S. (2024). Topology Transformation Approach for Optimal PMU Placement for Monitoring and Control of Power System. i-manager’s Journal on Power Systems Engineering, 12(1), 16-28. https://doi.org/10.26634/jps.12.1.21081

Abstract

The efficient placement of Phasor Measurement Units (PMUs) is crucial to minimize their number while ensuring full power system observability. A power system is deemed observable when the voltage at every bus is known. This study proposes a topology transformation approach that combines a Zero-Injection Bus (ZIB) with one of its neighboring buses to achieve optimal PMU placement. The choice of the neighboring bus for combination with the ZIB significantly influences the outcome of the merging process. To identify the optimal candidate bus for merging with the ZIB, the proposed approach utilizes three selection principles aimed at determining the minimal number of PMUs necessary for complete system observability. This study also examines the scenario of power flow measurements, formulating the problem using Integer Linear Programming (ILP). The effectiveness of the proposed method is demonstrated through simulations conducted in MATLAB on various IEEE Bus systems, with a detailed explanation provided using the IEEE 14-Bus system. Comparative analysis reveals that the number of PMUs obtained with the suggested method is competitive with existing techniques. Furthermore, this study includes a comparison between the IEEE 30-Bus and IEEE 14-Bus systems by inducing faults at specific buses. This is done to verify whether PMUs placed at optimal locations ensure complete coverage of all buses in both systems. The comparison also extends to evaluating the cost implications of placing PMUs solely at these optimal locations.

References

[1]. Ahmed, M. M., & Imran, K. (2019, August). An optimal PMU placement against N-1 contingency of PMU using integer linear programming approach. In 2019 International Conference on Applied and Engineering Mathematics (ICAEM) (pp. 127-132). IEEE.

[2]. Ballal, M. S., & Kulkarni, A. R. (2021). Synergizing PMU data from multiple locations in Indian power grid-case study. IEEE Access, 9, 63980-63994.

[3]. Farrokhifard, M. M., Zheng, G., Parashar, M., & Sukhavasi, V. (2022). A practical model for optimal PMU placement. In 2022 International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA) (pp. 1-6).

[4]. Kethineni, B. K. (2020). Optimal Placement and Economic Analysis of A Power System Network Using Synchronized Phasor Measurement Unit for Full Observability (Masters of thesis, Vignans Foundation for Science Technology and Research).

[5]. Patel, M., & Talati, S. (2021, February). Optimal PMU placement by improved Cuckoo & PSO method. In 2021 International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT) (pp. 1-6). IEEE.

[6]. Pawar, V., & Ankaliki, S. G. (2023). Optimal placement of PMU for enhancing power system monitoring. i-manager's Journal on Power Systems Engineering, 11(2), 1-23.

[7]. Rahman, N. H., & Zobaa, A. F. (2016). Optimal PMU placement using topology transformation method in power systems. Journal of Advanced Research, 7(5), 625-634.

[8]. Zhu, S., Wu, L., Mousavian, S., & Roh, J. H. (2018). An optimal joint placement of PMUs and flow measurements for ensuring power system observability under N-2 transmission contingencies. International Journal of Electrical Power & Energy Systems, 95, 254-265.

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Research Paper

Performance Evaluation of Power System with HVDC Integration: Impact of SSSC and STATCOM on Power System Efficiency and Stability

Vijay Prashant Yadaraju* , Siva Kumar M.**

* Department of Electrical and Electronics Engineering, Jawaharlal Nehru Technological University, Andhra Pradesh, India.

** Department of Electrical and Electronics Engineering, Seshadri Rao Gudlavalleru Engineering College, Andhra Pradesh, India.

Yadaraju, V. P., and Kumar, M. S. (2024). Performance Evaluation of Power System with HVDC Integration: Impact of SSSC and STATCOM on Power System Efficiency and Stability. i-manager’s Journal on Power Systems Engineering, 12(1), 29-44. https://doi.org/10.26634/jps.12.1.21168

Abstract

This paper presents a comprehensive performance analysis of power systems incorporating High Voltage Direct Current (HVDC) transmission lines, with a focus on the impact of integrating advanced Flexible AC Transmission Systems (FACTS) devices, namely Static Synchronous Series Compensator (SSSC) and Static Synchronous Compensator (STATCOM). This study evaluates key performance parameters, including Total Power Loss (TPL), Voltage deviation (Vdev), transmission efficiency, and corona loss, across three configurations, HVDC alone, HVDC with SSSC, and HVDC with STATCOM. Through simulations conducted using MATLAB or Simulink, the results demonstrate that the addition of SSSC and STATCOM significantly improves system performance by reducing power losses, enhancing voltage stability, and optimizing transmission efficiency. The analysis reveals that HVDC systems with SSSC outperform other configurations in terms of power loss reduction and voltage stability, while STATCOM improves voltage regulation and minimizes deviations. This study highlights the benefits of incorporating SSSC and STATCOM into HVDC systems for enhancing power system efficiency, stability, and operational reliability.

References

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[3]. Barnawi, A. B. (2024). Coordination of controllers to development of wide-area control system for damping low-frequency oscillations incorporating large renewable and communication delay. Arabian Journal for Science and Engineering (pp. 1-19).

[4]. Chitransh, V., Shetty, A., Das, A. K., Ojo, J. O., Veerachary, M., Fernandes, B. G., & Ferreira, J. A. (2020). Evaluation of multifrequency power electronic converters: Concept, architectures, and realization. IEEE Journal of Emerging and Selected Topics in Power Electronics, 9(3), 3582-3597.

[5]. Dash, P., Saha, A., & Babu, N. R. (2024). Impacts of FACTS controllers in frequency regulation services of modern restructured power system. In S. Dhundhara, Y. Arya, & R. C. Bansal (Eds.), Advanced Frequency Regulation Strategies in Renewable-Dominated Power Systems (pp. 307-344). Academic Press.

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[7]. Diao, F., Du, X., Ma, Z., Wu, Y., Guo, F., Li, Y., & Zhao, Y. (2023). A megawatt-scale Si/SiC hybrid multilevel inverter for electric aircraft propulsion applications. IEEE Journal of Emerging and Selected Topics in Power Electronics, 11(4), 4095-4107.

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[10]. Gao, Y., Wang, S., Dragicevic, T., Wheeler, P., & Zanchetta, P. (2023). Artificial intelligence techniques for enhancing the performance of controllers in power converter-based systems-an overview. IEEE Open Journal of Industry Applications, 4, 366-375.

[11]. Hailu, E. A., Nyakoe, G. N., & Muriithi, C. M. (2023). Techniques of power system static security assessment and improvement: A literature survey. Heliyon, 9(3), e14524.

[12]. He, L., Siddiqui, S., Nekkalapu, S., Datta, S., Douville, T., Oikonomou, K., & Maharajan, M. (2024). Multi-temporal analysis and techno-economic evaluation of offshore wind energy integration to the western interconnection. IEEE Open Access Journal of Power and Energy, 11, 383-395.

[13]. He, X., Ding, T., Sun, Y., Shahidehpour, M., Li, L., & Chi, F. (2022). Interval reliability evaluation of hybrid AC/DC grids with integrated renewable energy. IEEE Transactions on Power Systems, 38(5), 4501-4514.

[14]. Khan, I. A., Mokhlis, H., Mansor, N. N., Illias, H. A., Awalin, L. J., & Wang, L. (2023). New trends and future directions in load frequency control and flexible power system: A comprehensive review. Alexandria Engineering Journal, 71, 263-308.

[15]. Mohale, V., Sonandkar, S., & Chelliah, T. R. (2023). Large asynchronous hydro generating systems connected to TCSC compensated transmission lines (Simulation with experimental validation): A review on SSO perspectives. Electric Power Systems Research, 219, 109257.

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[17]. Rashad, A., Kamel, S., Jurado, F., Rihan, M., & Ebeed, M. (2022). Optimal design of SSSC and crowbar parameters for performance enhancement of Egyptian Zafrana wind farm. Electrical Engineering, 104, 1441–1457.

[18]. Roy, S. D., Debbarma, S., & Guerrero, J. M. (2022). Machine learning based multi-agent system for detecting and neutralizing unseen cyber-attacks in AGC and HVDC systems. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 12(1), 182-193.

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[22]. Wang, B., Wang, L., Wu, S., Hou, Z., Mu, W., Yang, F., & Gan, Y. (2021). An evaluation on thermal performance improvements for SiC power module integrated with Vapor chamber in MMC. IEEE Journal of Emerging and Selected Topics in Power Electronics, 10(5), 5214-5225.

[23]. Xiao, H., Gan, H., Dong, Y., Huang, Y., & Liu, Y. (2024). Control and capacity design of station-hybrid HVDC system with DRU and MMC in parallel for offshore wind power integration. IEEE Transactions on Power Delivery, 39(3), 1783-1793.

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Research Paper

Photovoltaic Systems: A Pollination-Based Optimization Approach for Critical Industrial Applications

Navin Prakash Singh* , Durga Sharma**

*-** Department of Electrical Engineering, Dr. C. V. Raman University, Chhattisgarh, India.

Singh, N. P., and Sharma, D. (2024). Photovoltaic Systems: A Pollination-Based Optimization Approach for Critical Industrial Applications. i-manager’s Journal on Power Systems Engineering, 12(1), 45-53. https://doi.org/10.26634/jps.12.1.21210

Abstract

This paper describes the development of a Photovoltaic (PV) technology system optimized using Pollination-Based Optimization (PBO) for enterprise-particular programs that specialize in vital method control in sectors including chemical production, semiconductor manufacturing, and pharmaceutical production. The PBO algorithm effectively reduces Total Harmonic Distortion (THD) by producing control signals for a Programmable Logic Controller (PLC) that manages motor operations and cargo control. The PV station, which includes 8 modules with a total potential of 4KW, operates in parallel with a grid imparting 5KW strength. A seamless transition to grid electricity is ensured in the event of PV failure. Comparative analyses of the PBO technique in opposition to Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Fuzzy Logic, and traditional Proportional-Integral-Derivative (PID) controllers reveal that the PBO approach extensively outperforms the others in terms of THD discount (1.0%), device efficiency (95.5%), and response time (.2 seconds). The effects spotlight the potential of PBO to beautify the reliability and performance of PV technology systems, making it a feasible answer for business programs requiring particular electricity management.

References

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[2]. Anang, N., & Muda, W. M. W. (2023). Analysis of total harmonic distortion in single-phase single-stage grid-connected photovoltaic system. International Journal of Power Electronics and Drive Systems, 14(1), 471-479.

[3]. Dhineshkumar, K., Subramani, C., Geetha, A., & Vimala, C. (2019). Performance analysis of PV powered multilevel inverter. International Journal of Electrical and Computer Engineering, 9(2), 753.

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[5]. Huu, V. X. S., Giang, N. H. M., Takano, H., & Tuyen, N. D. (2023, March). Deep learning-based real-time solar irradiation monitoring and forecasting application for PV system. In 2023 7th International Conference on Green Energy and Applications (ICGEA) (pp. 40-45). IEEE.

[6]. Iqbal, Z., Djokic, S. Z., Yanchenko, S., Spelko, A., & Papic, I. (2020, June). Performance evaluation of a PV inverter with active filter functionalities. In 2020 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM) (pp. 852-857). IEEE.

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Research Paper

Design of a Robust Controller for the Load Frequency Control of Interconnected Power System

Ch. Naga Sai Kalyan*

Department of Electrical and Electronics Engineering, Vasireddy Venkatadri Institute of Technology, Andhra Pradesh, India.

Ch. Kalyan, N. S. (2024). Design of a Robust Controller for the Load Frequency Control of Interconnected Power System. i-manager’s Journal on Power Systems Engineering, 12(1), 54-66. https://doi.org/10.26634/jps.12.1.21152

Abstract

This paper aims to develop a robust (1+PD)-PID cascade controller for the frequency stabilization of a multi-area Interconnected Power System (IPS). The operational performance of the proposed controller is studied by introducing a Step Load Disturbance (SLD) of 10% in area 1 of the considered power system model. For fine-tuning the proposed controller, the Butterfly Optimization Algorithm (BFOA) is employed. The superior performance of the proposed controller is validated against other controllers available in the literature. Furthermore, to enhance power system performance, a High-Voltage DC (HVDC) line is implemented in the test system model. The simulation results confirm the improvement in system performance with the incorporation of the HVDC line. To assess the robustness of the proposed controller, a sensitivity test is conducted, which validates its robustness.

References

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[2]. Ansari, J., Homayounzade, M., & Abbasi, A. R. (2023). Load frequency control in power systems by a robust backstepping sliding mode controller design. Energy Reports, 10, 1287-1298.

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[5]. Bai, J., Zhao, Y., Jiang, H., Wei, M., & Yu, S. (2022). Load frequency control of power system with energy storage based on disturbance observer. Energy Reports, 8, 615-622.

[6]. Bondalapati, S., Dey, R., Mekhilef, S., & Guelton, K. (2023). Linear quadratic differential games based MIMO-PID design for load frequency control of a 2-area interconnected power system: An Iterative LMI approach. IFAC-PapersOnLine, 56(2), 348-353.

[7]. Cai, G., Jiang, C., Yang, D., Liu, X., Zhou, S., Cao, Z., & Sun, Z. (2023). Data-driven predictive based load frequency robust control of power system with renewables. International Journal of Electrical Power & Energy Systems, 154, 109429.

[8]. Daraz, A., Alrajhi, H., Basit, A., Afzal, A. R., Alahmadi, A. N., & Khan, I. A. (2024). Load frequency stabilization of distinct hybrid conventional and renewable power systems incorporated with electrical vehicles and capacitive energy storage. Scientific Reports, 14(1), 9400.

[9]. Dev, A., Anand, S., & Sarkar, M. K. (2020). Adaptive super twisting sliding mode load frequency control for an interconnected power network with nonlinear coupling between control areas. IFAC-PapersOnLine, 53(1), 350-355.

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[11]. GOUD, S., Kalyan, C. N., Rajasekaran, S., Swapna, G., Venkateswarlu, A. N., & Reddy, C. R. (2022). Coordinated IPFC and SMES strategy for stability analysis of renewable energy based contemporary interconnected power system with FOPID controller. International Journal of Renewable Energy Research (IJRER), 12(2), 1052-1062.

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

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Volume 12 Issue 1 April - June 2024

Thermodynamic and Exergoeconomic Operation Optimization and Simulation of Steam Generation Solar Power Plant

Malik F. Elmzughi* , Ahmed Akasha**, Mohammed A. Elhaj***, Ayoub A. Altwibi****

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

Elmzughi, M. F., Akasha, A., Elhaj, M. A., and Altwibi, A. A. (2024). Thermodynamic and Exergoeconomic Operation Optimization and Simulation of Steam Generation Solar Power Plant. i-manager’s Journal on Power Systems Engineering, 12(1), 1-15. https://doi.org/10.26634/jps.12.1.21175

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Topology Transformation Approach for Optimal PMU Placement for Monitoring and Control of Power System

Shreya K. Mysore* , Shekhappa Ankaliki**

*-** Department of Electrical and Electronics Engineering, SDM College of Engineering and Technology, Dharwad, Karnataka, India.

Mysore, S. K., and Ankaliki, S. (2024). Topology Transformation Approach for Optimal PMU Placement for Monitoring and Control of Power System. i-manager’s Journal on Power Systems Engineering, 12(1), 16-28. https://doi.org/10.26634/jps.12.1.21081

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Performance Evaluation of Power System with HVDC Integration: Impact of SSSC and STATCOM on Power System Efficiency and Stability

Vijay Prashant Yadaraju* , Siva Kumar M.**

* Department of Electrical and Electronics Engineering, Jawaharlal Nehru Technological University, Andhra Pradesh, India. ** Department of Electrical and Electronics Engineering, Seshadri Rao Gudlavalleru Engineering College, Andhra Pradesh, India.

Yadaraju, V. P., and Kumar, M. S. (2024). Performance Evaluation of Power System with HVDC Integration: Impact of SSSC and STATCOM on Power System Efficiency and Stability. i-manager’s Journal on Power Systems Engineering, 12(1), 29-44. https://doi.org/10.26634/jps.12.1.21168

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Photovoltaic Systems: A Pollination-Based Optimization Approach for Critical Industrial Applications

Navin Prakash Singh* , Durga Sharma**

*-** Department of Electrical Engineering, Dr. C. V. Raman University, Chhattisgarh, India.

Singh, N. P., and Sharma, D. (2024). Photovoltaic Systems: A Pollination-Based Optimization Approach for Critical Industrial Applications. i-manager’s Journal on Power Systems Engineering, 12(1), 45-53. https://doi.org/10.26634/jps.12.1.21210

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Design of a Robust Controller for the Load Frequency Control of Interconnected Power System

Ch. Naga Sai Kalyan*

Department of Electrical and Electronics Engineering, Vasireddy Venkatadri Institute of Technology, Andhra Pradesh, India.

Ch. Kalyan, N. S. (2024). Design of a Robust Controller for the Load Frequency Control of Interconnected Power System. i-manager’s Journal on Power Systems Engineering, 12(1), 54-66. https://doi.org/10.26634/jps.12.1.21152

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Malik F. Elmzughi* , Ahmed Akasha, Mohammed A. Elhaj*, Ayoub A. Altwibi****

* Department of Electrical and Electronics Engineering, Jawaharlal Nehru Technological University, Andhra Pradesh, India.

** Department of Electrical and Electronics Engineering, Seshadri Rao Gudlavalleru Engineering College, Andhra Pradesh, India.