IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i6p2637-d1094087.html
   My bibliography  Save this article

Optimal Placement and Size of SVC with Cost-Effective Function Using Genetic Algorithm for Voltage Profile Improvement in Renewable Integrated Power Systems

Author

Listed:
  • Ashish Dandotia

    (Department of Electrical Engineering, Suresh Gyan Vihar University, Jaipur 302017, India)

  • Mukesh Kumar Gupta

    (Department of Electrical Engineering, Suresh Gyan Vihar University, Jaipur 302017, India)

  • Malay Kumar Banerjee

    (Research Department, Suresh Gyan Vihar University, Jaipur 302017, India)

  • Suraj Kumar Singh

    (Centre for Climate Change & Water Research, Suresh Gyan Vihar University, Jaipur 302017, India)

  • Bojan Đurin

    (Department of Civil Engineering, University North, 42000 Varaždin, Croatia)

  • Dragana Dogančić

    (Faculty of Geotechnical Engineering, University of Zagreb, 42000 Varaždin, Croatia)

  • Nikola Kranjčić

    (Faculty of Geotechnical Engineering, University of Zagreb, 42000 Varaždin, Croatia)

Abstract

Given the concern for maintaining voltage stability in power systems integrated with renewable power systems due to a mismatch in generation and demand, there remains a need to invoke flexible alternating current transmission system (FACTS) devices in the distribution network. The present paper deals with identifying the locations of placement of a static var compensator in an experimental IEEE 14-bus system; the voltage drop in different buses in an IEEE 14-bus system is calculated by the standard formula. The total voltage drop in the network (TVDN) is also calculated as a reference. The ranking of buses in order of decreasing voltage drop is made, and the weak buses are identified as those showing the maximum or near-maximum voltage drop for the installation of a Static Var Compensator (SVC). The optimum usable size is calculated using a Genetic Algorithm approach to optimize the installation cost. After size optimization, installing a 2 MW solar generator is considered for the weak and most potential bus, which suffers from voltage drops or power loss. Based on the generator at the weakest bus, the total power loss in the network is calculated and compared with a similar method to assess the efficiency of the proposed model. Thus, the voltage stability enhancement problem is solved by applying a Genetic algorithm (GA) to optimize SVC size and using the Total Voltage Drop in Network (TVDN) method to identify weak buses in the systems. It is found that the performance of the proposed system is comparable with another existing system. It is further observed that a gain in power loss to 6.56% is achievable by adopting the proposed strategy, and the gain is better than the other system.

Suggested Citation

  • Ashish Dandotia & Mukesh Kumar Gupta & Malay Kumar Banerjee & Suraj Kumar Singh & Bojan Đurin & Dragana Dogančić & Nikola Kranjčić, 2023. "Optimal Placement and Size of SVC with Cost-Effective Function Using Genetic Algorithm for Voltage Profile Improvement in Renewable Integrated Power Systems," Energies, MDPI, vol. 16(6), pages 1-20, March.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:6:p:2637-:d:1094087
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/6/2637/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/6/2637/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hana Merah & Abdelmalek Gacem & Djilani Ben Attous & Abderezak Lashab & Francisco Jurado & Mariam A. Sameh, 2022. "Sizing and Sitting of Static VAR Compensator (SVC) Using Hybrid Optimization of Combined Cuckoo Search (CS) and Antlion Optimization (ALO) Algorithms," Energies, MDPI, vol. 15(13), pages 1-20, July.
    2. Mahdiyeh Eslami & Mehdi Neshat & Saifulnizam Abd. Khalid, 2022. "A Novel Hybrid Sine Cosine Algorithm and Pattern Search for Optimal Coordination of Power System Damping Controllers," Sustainability, MDPI, vol. 14(1), pages 1-27, January.
    3. Tong Kang & Jiangang Yao & ThanhLong Duong & Shengjie Yang & Xiangqian Zhu, 2017. "A Hybrid Approach for Power System Security Enhancement via Optimal Installation of Flexible AC Transmission System (FACTS) Devices," Energies, MDPI, vol. 10(9), pages 1-32, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ismail Marouani & Tawfik Guesmi & Badr M. Alshammari & Khalid Alqunun & Ahmed S. Alshammari & Saleh Albadran & Hsan Hadj Abdallah & Salem Rahmani, 2023. "Optimized FACTS Devices for Power System Enhancement: Applications and Solving Methods," Sustainability, MDPI, vol. 15(12), pages 1-58, June.
    2. Abdul Ghani Olabi & Hegazy Rezk & Mohammad Ali Abdelkareem & Tabbi Awotwe & Hussein M. Maghrabie & Fatahallah Freig Selim & Shek Mohammod Atiqure Rahman & Sheikh Khaleduzzaman Shah & Alaa A. Zaky, 2023. "Optimal Parameter Identification of Perovskite Solar Cells Using Modified Bald Eagle Search Optimization Algorithm," Energies, MDPI, vol. 16(1), pages 1-14, January.
    3. Shoyab Ali & Annapurna Bhargava & Akash Saxena & Pavan Kumar, 2023. "A Hybrid Marine Predator Sine Cosine Algorithm for Parameter Selection of Hybrid Active Power Filter," Mathematics, MDPI, vol. 11(3), pages 1-25, January.
    4. Tong Kang & Jiangang Yao & Min Jin & Shengjie Yang & ThanhLong Duong, 2018. "A Novel Improved Cuckoo Search Algorithm for Parameter Estimation of Photovoltaic (PV) Models," Energies, MDPI, vol. 11(5), pages 1-31, April.
    5. Ali Elkamel, 2018. "Energy Production Systems," Energies, MDPI, vol. 11(10), pages 1-4, September.
    6. Ewaoche John Okampo & Nnamdi Nwulu & Pitshou N. Bokoro, 2022. "Optimal Placement and Operation of FACTS Technologies in a Cyber-Physical Power System: Critical Review and Future Outlook," Sustainability, MDPI, vol. 14(13), pages 1-26, June.
    7. Mohsen Khalili & Touhid Poursheykh Aliasghari & Ebrahim Seifi Najmi & Almoataz Y. Abdelaziz & A. Abu-Siada & Saber Arabi Nowdeh, 2022. "Optimal Allocation of Distributed Thyristor Controlled Series Compensators in Power System Considering Overload, Voltage, and Losses with Reliability Effect," Energies, MDPI, vol. 15(20), pages 1-25, October.
    8. Ghareeb Moustafa & Mostafa Elshahed & Ahmed R. Ginidi & Abdullah M. Shaheen & Hany S. E. Mansour, 2023. "A Gradient-Based Optimizer with a Crossover Operator for Distribution Static VAR Compensator (D-SVC) Sizing and Placement in Electrical Systems," Mathematics, MDPI, vol. 11(5), pages 1-30, February.
    9. Mohammad H. Nadimi-Shahraki & Ali Fatahi & Hoda Zamani & Seyedali Mirjalili, 2022. "Binary Approaches of Quantum-Based Avian Navigation Optimizer to Select Effective Features from High-Dimensional Medical Data," Mathematics, MDPI, vol. 10(15), pages 1-30, August.
    10. Shuang Wang & Abdelazim G. Hussien & Heming Jia & Laith Abualigah & Rong Zheng, 2022. "Enhanced Remora Optimization Algorithm for Solving Constrained Engineering Optimization Problems," Mathematics, MDPI, vol. 10(10), pages 1-32, May.
    11. Jianping Zhao & Damin Zhang & Qing He & Lun Li, 2023. "A Hybrid-Strategy-Improved Dragonfly Algorithm for the Parameter Identification of an SDM," Sustainability, MDPI, vol. 15(15), pages 1-35, July.
    12. Ćalasan, Martin & Micev, Mihailo & Hasanien, Hany M. & Abdel Aleem, Shady H.E., 2024. "PEM fuel cells: Two novel approaches for mathematical modeling and parameter estimation," Energy, Elsevier, vol. 290(C).
    13. Ewaoche John Okampo & Nnamdi Nwulu & Pitshou N. Bokoro, 2022. "Optimization of Voltage Security with Placement of FACTS Device Using Modified Newton–Raphson Approach: A Case Study of Nigerian Transmission Network," Energies, MDPI, vol. 15(12), pages 1-17, June.
    14. Sadeq D. Al-Majidi & Hisham Dawood Salman Altai & Mohammed H. Lazim & Mohammed Kh. Al-Nussairi & Maysam F. Abbod & Hamed S. Al-Raweshidy, 2023. "Bacterial Foraging Algorithm for a Neural Network Learning Improvement in an Automatic Generation Controller," Energies, MDPI, vol. 16(6), pages 1-19, March.
    15. Shanmugam Jagan & Ashish Ashish & Miroslav Mahdal & Kenneth Ruth Isabels & Jyoti Dhanke & Parita Jain & Muniyandy Elangovan, 2023. "A Meta-Classification Model for Optimized ZBot Malware Prediction Using Learning Algorithms," Mathematics, MDPI, vol. 11(13), pages 1-21, June.
    16. Hana Merah & Abdelmalek Gacem & Djilani Ben Attous & Abderezak Lashab & Francisco Jurado & Mariam A. Sameh, 2022. "Sizing and Sitting of Static VAR Compensator (SVC) Using Hybrid Optimization of Combined Cuckoo Search (CS) and Antlion Optimization (ALO) Algorithms," Energies, MDPI, vol. 15(13), pages 1-20, July.
    17. Abdulaziz Almalaq & Khalid Alqunun & Mohamed M. Refaat & Anouar Farah & Fares Benabdallah & Ziad M. Ali & Shady H. E. Abdel Aleem, 2022. "Towards Increasing Hosting Capacity of Modern Power Systems through Generation and Transmission Expansion Planning," Sustainability, MDPI, vol. 14(5), pages 1-26, March.
    18. Ahmad Alzahrani & Ghulam Hafeez & Sajjad Ali & Sadia Murawwat & Muhammad Iftikhar Khan & Khalid Rehman & Azher M. Abed, 2023. "Multi-Objective Energy Optimization with Load and Distributed Energy Source Scheduling in the Smart Power Grid," Sustainability, MDPI, vol. 15(13), pages 1-21, June.
    19. Samuel R. Fahim & Hany M. Hasanien & Rania A. Turky & Shady H. E. Abdel Aleem & Martin Ćalasan, 2022. "A Comprehensive Review of Photovoltaic Modules Models and Algorithms Used in Parameter Extraction," Energies, MDPI, vol. 15(23), pages 1-56, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:16:y:2023:i:6:p:2637-:d:1094087. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.