Research Article
BibTex RIS Cite

Coordination of Flexible Alternating Current Transmission Systems and Distributed Generation in a Synthetic Co-simulation of Transmission and Distribution Network

Year 2024, Volume: 4 Issue: 1, 13 - 25, 29.02.2024
https://doi.org/10.5152/tepes.2024.23026
https://izlik.org/JA56GU58TU

Abstract

In ensuring sustainable power delivery under rapid growth in demand, modern power grids are characterized by advanced solutions such as flexible alternating current transmission systems and distributed generation. However, flexible alternating current transmission systems and distributed generations are often planned by their respective system operators, ignoring their coordination and impacting system-wide performance. This paper develops a bi-level optimization approach for flexible alternating current transmission systems and distributed generation coordination in an integrated transmission and distribution network to improve available transfer capability, power losses, and voltage deviation. The approach comprises inner and outer optimization. Inner optimization implements a hybrid of particle swarm optimization and Active Power Flow Performance Index for flexible alternating current transmission systems’ planning. At the same time, the outer optimization employs multi-objective particle swarm optimization, which targets distributed generation planning at the distribution network—the integrated transmission and distribution network models’ both transmission and distribution section. To demonstrate the effectiveness of the developed approach, two models of distributed generations, only real power and real and reactive power injections, were separately coordinated with a thyristor-controlled series compensator and static synchronous series compensator. Results show superior available transfer capability enhancement with thyristor-controlled series compensator–power injections and static synchronous series compensator–power injections, compared to the non-coordinated scenario. Pareto front plots of available transfer capability, power losses, and voltage deviation are such that after some maximum available transfer capability, the slope of the Pareto approaches zero.

References

  • S. D. Patil, R. A. Kachare, A. M. Mulla, and D. R. Patil, “Performance enhancement of modified SVC as a thyristor binary switched capacitor and reactor banks by using different adaptive controllers,” J. King Saud Univ. Eng. Sci., vol. 35, no. 5, pp. 342–357, 2023.
  • A. A. Sadiq, S. S. Adamu, and M. Buhari, “Available transfer capability enhancement with FACTS using hybrid PI-PSO,” Turk J. Elec Eng & Comp Sci, vol. 27, no. 4, pp. 2881–2897, 2019.
  • X. Zhang, K. Tomsovic, and A. Dimitrovski, “Optimal allocation of series FACTS devices in large-scale systems,” IET Gener. Transm. Distrib., vol. 12, no. 8, pp. 1889–1896, 2018.
  • P. C. Sahu, R. C. Prusty, and S. Panda, “Approaching hybridized GWO-SCA based type-II fuzzy controller in AGC of diverse energy source multi-area power system,” J. King Saud Univ. Eng. Sci., vol. 32, no. 3, pp. 186–197, 2020.
  • M. S. Rawat and S. Vadhera, “A novel method for determination of maximum penetration of distributed generation in radial distribution network,” Aust. J. Electr. Electron. Eng., vol. 18, no. 2, pp. 80–90, 2021.
  • K. S. Sambaiah, “Optimal distributed generation allocation in practical distribution system in the presence of plug-in electric vehicles,” TEPES, vol. 3, no. 1, pp. 2–11, 2023.
  • U. Sur, “Impact study of distributed generations in voltage sag mitigation using an improved three-phase unbalanced load flow for active distribution network,” TEPES, vol. 2, no. 2, pp. 124–133, 2022.
  • J. M. Bloemink and T. C. Green, “Benefits of distribution-level power electronics for supporting distributed generation growth,” IEEE Trans. Power Deliv., vol. 28, no. 2, pp. 911–919, 2013.
  • A. A. Sadiq, S. S. Adamu, and M. Buhari, “Optimal distributed generation planning in distribution networks: A comparison of transmission network models with FACTS,” Eng. Sci. Technol. An Int. J., vol. 22, no. 1, pp. 33–46, 2019.
  • P. K. Pandey and B. Bag, “A comparative study on UPFC and SVC towards voltage profile improvement of a grid-connected distributed generation system,” in 2015 International Conference on Energy, Power and Environment: Towards Sustainable Growth (ICEPE), 2015, pp. 1–5.
  • Y. Feng, S. Wang, C. Xue, Y. Cao, J. Wu, and H. Li, “Flexible coordinated optimal operation model of ‘source-grid-load-storage’ in smart distribution network,” in Proceedings of the 2020 5th Asia Conference on Power and Electrical Engineering (ACPEE 2020), 2020, pp. 2231–2236.
  • K. Fatima, M. Sefid, M. A. Anees, and M. Rihan, “An investigation of the impact of synchrophasors measurement on multi-area state estimation in active distribution grids,” Aust. J. Electr. Electron. Eng., vol. 17, no. 2, pp. 122–131, 2020.
  • J. Fang, H. Wang, F. Yang, K. Yin, X. Lin, and M. Zhang, “A failure prediction method of a power distribution network based on PSO and XGBoost,” Aust. J. Electr. Electron. Eng., pp. 1–8, 2022.
  • H. Gerard, E. I. Rivero Puente, and D. Six, “Coordination between transmission and distribution system operators in the electricity sector: A conceptual framework,” Util. Policy, vol. 50, pp. 40–48, 2018.
  • E. Boutsiadis, D. Tsiamitros, and D. Stimoniaris, “Ripple signaling control for ancillary services in distribution networks,” TEPES, vol. 2, no. 1, pp. 31–45, 2022.
  • A. G. Givisiez, K. Petrou, and L. F. Ochoa, “A review on TSO-DSO coordination models and solution techniques,” Electr. Power Syst. Res., vol. 189, p. 106659, 2020.
  • E. Doğan and N. Yörükeren, “Enhancement of transmission system security with Archimedes optimization algorithm,” TEPES, vol. 2, no. 2, pp. 115–123, 2022.
  • H. Jain, K. Rahimi, A. Tbaileh, R. P. Broadwater, A. K. Jain, and M. Dilek, “Integrated transmission and distribution system modeling and analysis: Need and advantages,” IEEE Power Energy Soc. Gen. Meet. (PESGM), pp. 1–5, 2016.
  • S. Li, T. Yu, T. Pu, J. Ming, and S. Fan, “Coordinated optimization control method of transmission and distribution network,” in Asia-Pacific Power and Energy Engineering Conference (APPEEC), 2016, pp. 2215–2219.
  • G. Mu, J. Contreras, J. M. Arroyo, A. Sanchez de la Nieta, and M. Gibescu, “Integrated transmission and distribution system expansion planning under uncertainty,” IEEE Trans. Smart Grid, vol. 12, no. 5, pp. 4113–4125, 2021.
  • M. Nadeem et al., “Optimal placement, sizing and coordination of FACTS devices in transmission network using whale optimization algorithm,” Energies, vol. 13, no. 3, pp. 1–24, 2020.
  • A. A. Sadiq, S. Sani Adamu, and M. Buhari, “Multi-type FACTS location and coordination using PI-PSO for transfer capability improvement,” in IEEE PES/IAS PowerAfrica Conference: Power Economics and Energy Innovation in Africa (PowerAfrica), 2019, pp. 662–667.
  • A. A. Sadiq, M. Buhari, S. S. Adamu, and H. Musa, “Coordination of multi-type FACTS for available transfer capability enhancement using PI-PSO,” IET Gener. Transm. Distrib., vol. 14, no. 21, pp. 4866–4877, 2020.
  • S. R. Ghatak, S. Sannigrahi, and P. Acharjee, “Optimised planning of power distribution network with solar energy, battery storage and DSTATCOM: A multi-objective approach,” in 2018 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES), 2018, pp. 1–6.
  • H. Saberi, S. Mehraeen, and B. Wang, “Stability improvement of microgrids using a novel reduced UPFC structure via non-linear optimal control,” in 2018 IEEE Applied Power Electronics Conference and Exposition (APEC), 2018, pp. 3294–3300.
  • T. F. Orchi, M. J. Hossain, H. R. Pota, and M. S. Rahman, “Impact of distributed generation and series compensation on distribution network,” in 2013 IEEE 8th Conference on Industrial Electronics and Applications (ICIEA), 2013, pp. 854–859.
  • Ravi and R. Raman, “Coordination between SVC and OLTC for voltage control in wind energy conversion system,” International Research Journal of Engineering and Technology (IRJET), vol. 3, no. 10, pp. 482–485, 2016.
  • J. Shi, A. Kalam, and P. Shi, “Improving power quality and stability of wind energy conversion system with fuzzy-controlled STATCOM,” Aust. J. Electr. Electron. Eng., vol. 12, no. 3, pp. 183–193, 2015.
  • E. Basak and B. A. Aysen, “Power quality evaluation of distributed generation systems,” TEPES, vol. 1, no. 1, pp. 12–18, 2021.
  • D. Shukla, S. P. Singh, and S. R. Mohanty, “Optimal strategy for ATC enhancement and assessment in the presence of FACTS devices and renewable generation,” in National Power Systems Conference (NPSC), 2018, pp. 12–17.
  • B. Mahdad and K. Srairi, “Adaptive differential search algorithm for optimal location of distributed generation in the presence of SVC for power loss reduction in distribution system,” Eng. Sci. Technol. An Int. J., vol. 19, no. 3, pp. 1266–1282, 2016.
  • M. S. Rahman, M. A. Mahmud, A. M. T. Oo, H. R. Pota, and M. J. Hossain, “Agent-based reactive power management of power distribution networks with distributed energy generation,” Energy Convers. Manag., vol. 120, pp. 120–134, 2016.
  • H. B. Tolabi, M. H. Ali, and M. Rizwan, “Simultaneous reconfiguration, optimal placement of DSTATCOM, and photovoltaic array in a distribution system based on fuzzy-ACO approach,” IEEE Trans. Sustain. Energy, vol. 6, no. 1, pp. 210–218, 2015.
  • M. Farsadi, F. M. Shahir, D. Nazarpour, and F. N. Heris, “Analyzing of coordinate operational of UPFC based on matrix converter and wind turbine generator under unbalanced load,” in ELECO 2015 – 9th International Conference on Electrical and Electronics Engineering, 2015, pp. 525–529.
  • B. Singh, V. Mukherjee, and P. Tiwari, “GA-based optimization for optimally placed and properly coordinated control of distributed generations and static var compensator in distribution networks,” Energy Rep., vol. 5, pp. 926–959, 2019.
  • F. Ugranli and E. Karatepe, “Coordinated TCSC allocation and network reinforcements planning with wind power,” IEEE Trans. Sustain. Energy, vol. 8, no. 4, pp. 1694–1705, 2017.
  • A. Mirzapour-Kamanaj, M. Majidi, K. Zare, and R. Kazemzadeh, “Optimal strategic coordination of distribution networks and interconnected energy hubs: A linear multi-follower bi-level optimization model,” Int. J. Electr. Power Energy Syst., vol. 119, pp. 1–12, 2020.
  • E. S. Ali, S. M. Abd-Elazim, and A. Y. Abdelaziz, “Ant lion optimization algorithm for renewable distributed generations,” Energy, vol. 116, pp. 445–458, 2016.
  • S. A. Chithradevi, L. Lakshminarasimman, and R. Balamurugan, “Stud krill herd algorithm for multiple DG placement and sizing in a radial distribution system,” Eng. Sci. Technol. An Int. J., vol. 20, no. 2, pp. 748–759, 2017.
  • A. Britto and A. Pozo, “I-MOPSO: A suitable PSO algorithm for many-objective optimization,” in Brazilian Symposium on Neural Networks, 2012, pp. 166–171.
  • P. K. Tripathi, S. Bandyopadhyay, and S. K. Pal, “Multi-objective particle swarm optimization with time-variant inertia and acceleration coefficients,” Inf. Sci., vol. 177, no. 22, pp. 5033–5049, 2007.
  • H. Farahmand, M. Rashidinejad, A. Mousavi, A. A. Gharaveisi, M. R. Irving, and G. A. Taylor, “Hybrid mutation particle swarm optimisation method for available transfer capability enhancement,” Int. J. Electr. Power Energy Syst., vol. 42, no. 1, pp. 240–249, 2012.
  • E. S. Ali, S. M. A. Elazim, and A. Y. Abdelaziz, “Ant lion optimization algorithm for optimal location and sizing of renewable distributed generations,” Renew. Energy, vol. 101, pp. 1311–1324, 2017.
  • A. A. Sadiq, M. Buhari, J. G. Ambafi, S. S. Adamu, and M. N. Nwohu, “Contingency constrained TCSC and DG coordination in an integrated transmission and distribution network: A multi-objective approach,” e-Prime – Adv. Electr. Eng. Electron Energy, vol. 4, p. 100156, 2023.
  • R. D. Zimmerman, C. E. Murillo-Sanchez, and R. J. Thomas, “MATPOWER: Steady-state operations, planning, and analysis tools for power systems research and education,” IEEE Trans. Power Syst., vol. 26, no. 1, pp. 12–19, 2011.
There are 45 citations in total.

Details

Primary Language English
Subjects Electrical Energy Transmission, Networks and Systems
Journal Section Research Article
Authors

Abubakar Sadiq Ahmad This is me 0000-0001-7169-2049

Latifa Yusuf This is me 0000-0003-0479-3135

Muhammad Buhari This is me 0000-0003-3428-3574

Sunusi Sani Adamu This is me

James Garba Ambafi This is me 0000-0002-8926-2108

Submission Date November 26, 2023
Acceptance Date January 12, 2024
Publication Date February 29, 2024
DOI https://doi.org/10.5152/tepes.2024.23026
IZ https://izlik.org/JA56GU58TU
Published in Issue Year 2024 Volume: 4 Issue: 1

Cite

APA Ahmad, A. S., Yusuf, L., Buhari, M., Adamu, S. S., & Ambafi, J. G. (2024). Coordination of Flexible Alternating Current Transmission Systems and Distributed Generation in a Synthetic Co-simulation of Transmission and Distribution Network. Turkish Journal of Electrical Power and Energy Systems, 4(1), 13-25. https://doi.org/10.5152/tepes.2024.23026
AMA 1.Ahmad AS, Yusuf L, Buhari M, Adamu SS, Ambafi JG. Coordination of Flexible Alternating Current Transmission Systems and Distributed Generation in a Synthetic Co-simulation of Transmission and Distribution Network. TEPES. 2024;4(1):13-25. doi:10.5152/tepes.2024.23026
Chicago Ahmad, Abubakar Sadiq, Latifa Yusuf, Muhammad Buhari, Sunusi Sani Adamu, and James Garba Ambafi. 2024. “Coordination of Flexible Alternating Current Transmission Systems and Distributed Generation in a Synthetic Co-Simulation of Transmission and Distribution Network”. Turkish Journal of Electrical Power and Energy Systems 4 (1): 13-25. https://doi.org/10.5152/tepes.2024.23026.
EndNote Ahmad AS, Yusuf L, Buhari M, Adamu SS, Ambafi JG (February 1, 2024) Coordination of Flexible Alternating Current Transmission Systems and Distributed Generation in a Synthetic Co-simulation of Transmission and Distribution Network. Turkish Journal of Electrical Power and Energy Systems 4 1 13–25.
IEEE [1]A. S. Ahmad, L. Yusuf, M. Buhari, S. S. Adamu, and J. G. Ambafi, “Coordination of Flexible Alternating Current Transmission Systems and Distributed Generation in a Synthetic Co-simulation of Transmission and Distribution Network”, TEPES, vol. 4, no. 1, pp. 13–25, Feb. 2024, doi: 10.5152/tepes.2024.23026.
ISNAD Ahmad, Abubakar Sadiq - Yusuf, Latifa - Buhari, Muhammad - Adamu, Sunusi Sani - Ambafi, James Garba. “Coordination of Flexible Alternating Current Transmission Systems and Distributed Generation in a Synthetic Co-Simulation of Transmission and Distribution Network”. Turkish Journal of Electrical Power and Energy Systems 4/1 (February 1, 2024): 13-25. https://doi.org/10.5152/tepes.2024.23026.
JAMA 1.Ahmad AS, Yusuf L, Buhari M, Adamu SS, Ambafi JG. Coordination of Flexible Alternating Current Transmission Systems and Distributed Generation in a Synthetic Co-simulation of Transmission and Distribution Network. TEPES. 2024;4:13–25.
MLA Ahmad, Abubakar Sadiq, et al. “Coordination of Flexible Alternating Current Transmission Systems and Distributed Generation in a Synthetic Co-Simulation of Transmission and Distribution Network”. Turkish Journal of Electrical Power and Energy Systems, vol. 4, no. 1, Feb. 2024, pp. 13-25, doi:10.5152/tepes.2024.23026.
Vancouver 1.Ahmad AS, Yusuf L, Buhari M, Adamu SS, Ambafi JG. Coordination of Flexible Alternating Current Transmission Systems and Distributed Generation in a Synthetic Co-simulation of Transmission and Distribution Network. TEPES [Internet]. 2024 Feb. 1;4(1):13-25. Available from: https://izlik.org/JA56GU58TU