Dynamic Control of D-STATCOMs for Mitigating Charging Station Impacts in Photovoltaic Distribution Systems Using Enhanced Hunter–Prey Optimization

Abstract

This study investigates the dynamic control and optimal allocation of Distribution Static Compensators (D-STATCOMs) in PV–EV integrated distribution systems to mitigate the impacts of voltage fluctuations, increased power losses, and reactive power imbalances. An Enhanced Hunter–Prey Optimization (EHPO) algorithm is proposed in the study, incorporating chaotic initialization, adaptive parameter control, and Cauchy's mutation exploration strategy to improve global search capability and convergence reliability. The proposed method is validated on the IEEE 33, 69, and 118 bus distribution test systems under varying PV generation and EV charging demand scenarios. Results show that the EHPO-based D-STATCOM placement significantly reduces active power losses and enhances voltage stability. The findings highlight the effectiveness of combining advanced metaheuristic optimization with custom power devices to ensure the resilient, reliable, and sustainable operation of future EV–PV–dominated distribution networks.

Keywords

• Photovoltaic distribution system
• Electric vehicle charging
• D-STATCOM
• Dynamic control
• Voltage stability
• Enhanced Hunter–Prey Optimization (EHPO)

References

1. [1] Pathak, A. K., M. P. Sharma, and Mahesh Bundele. "A critical review of voltage and reactive power management of wind farms." Renewable and Sustainable Energy Reviews 51 (2015): 460-471. https://doi.org/10.1016/j.rser.2015.06.015
2. [2] Hofmann, Wolfgang, Jürgen Schlabbach, and Wolfgang Just. Reactive power compensation: a practical guide. John Wiley & Sons, 2012.
3. [3] Potter, Adam, et al. "A reactive power market for the future grid." Advances in Applied Energy 9 (2023): 100114. https://doi.org/10.1016/j.adapen.2022.100114
4. [4] F. Li, W. Qiao, H. Sun, H. Wan, J. Wang, Y. Xia, et al., "Smart transmission grid: Vision and framework", IEEE Trans. Smart Grid, vol. 1, no. 2, pp. 168-177, Sep. 2010.
5. [5] R. Sirjani and A. R. Jordehi, "Optimal placement and sizing of distribution static compensator (D-STATCOM) in electric distribution networks: A review", Renew. Sustain. Energy Rev., vol. 77, pp. 688-694, Sep. 2017.
6. [6] M. Madrigal, R. Uluski and K. M. Gaba, "The concept role and priorities of smart grids" in Practical Guidance for Defining a Smart Grid Modernization Strategy, Washington, DC, USA:World Bank Group, pp. 1-14, 2017.
7. [7] K. Moslehi and R. Kumar, "A reliability perspective of the smart grid", IEEE Trans. Smart Grid, vol. 1, no. 1, pp. 57-64, May 2010.
8. [8] Liao H. Review on distribution network optimization under uncertainty. Energies. 2019 Sep 1;12(17):3369.

9. [9] Gholami K, Islam MR, Rahman MM, Azizivahed A, Fekih A. State-of-the-art technologies for volt-var control to support the penetration of renewable energy into the smart distribution grids. Energy Reports. 2022 Nov 1;8:8630-51.
10. [10] Gao X, Zhang J, Sun H, Liang Y, Wei L, Yan C, Xie Y. A review of voltage control studies on low voltage distribution networks containing high penetration distributed photovoltaics. Energies. 2024 Jun 21;17(13):3058.
11. [11] Pamshetti VB, Singh S, Thakur AK, Singh SP. Multistage coordination Volt/VAR control with CVR in active distribution network in presence of inverter-based DG units and soft open points. IEEE Transactions on Industry Applications. 2021 Mar 3;57(3):2035-47.
12. [12] Sun X, Qiu J, Tao Y, Ma Y, Zhao J. A multi-mode data-driven volt/var control strategy with conservation voltage reduction in active distribution networks. IEEE Transactions on Sustainable Energy. 2022 Feb 8;13(2):1073-85.
13. [13] Dutta A, Ganguly S, Kumar C. MPC-based coordinated voltage control in active distribution networks incorporating CVR and DR. IEEE Transactions on Industry Applications. 2022 Mar 29;58(4):4309-18.
14. [14] Najafi S, Livani H, Benidris M. Chance constraint co-optimization of volt/var and demand response in distribution networks. In2023 IEEE Power & Energy Society General Meeting (PESGM) 2023 Jul 16 (pp. 1-5). IEEE.
15. [15] Shaheen AM, Elattar EE, Nagem NA, Nasef AF. Allocation of PV systems with Volt/Var control based on automatic voltage regulators in active distribution networks. Sustainability. 2023 Nov 5;15(21):15634.
16. [16] Chen M, Ma S, Soltani Z, Ayyanar R, Vittal V, Khorsand M. Optimal placement of pv smart inverters with volt-var control in electric distribution systems. IEEE Systems Journal. 2023 Apr 10;17(3):3436-46.
17. [17] Murzakhanov I, Gupta S, Chatzivasileiadis S, Kekatos V. Optimal design of Volt/VAR control rules for inverter-interfaced distributed energy resources. IEEE Transactions on Smart Grid. 2023 May 25;15(1):312-23.
18. [18] Sun X, Qiu J, Zhao J. Optimal local volt/var control for photovoltaic inverters in active distribution networks. IEEE Transactions on Power systems. 2021 May 13;36(6):5756-66.
19. [19] Wagle R, Sharma P, Sharma C, Amin M. Optimal power flow based coordinated reactive and active power control to mitigate voltage violations in smart inverter enriched distribution network. International Journal of Green Energy. 2024 Jan 26;21(2):359-75
20. [20] Singh PP, Palu I. State coordinated voltage control in an active distribution network with on-load tap changers and photovoltaic systems. Global Energy Interconnection. 2021 Apr 1;4(2):117-25.
21. [21] Shaheen AM, Elattar EE, Nagem NA, Nasef AF. Allocation of PV systems with Volt/Var control based on automatic voltage regulators in active distribution networks. Sustainability. 2023 Nov 5;15(21):15634.
22. [22] Liu Y, Li J, Wu L. Coordinated optimal network reconfiguration and voltage regulator/DER control for unbalanced distribution systems. IEEE Transactions on Smart Grid. 2018 Mar 15;10(3):2912-22.
23. [23] Mahdavi M, Alshammari NF, Awaafo A, Jurado F, Gopi P. An economic loss reduction using static VAR compensator and capacitor placement in reconfigurable and expandable distribution grids with a variable electric power demand. IEEE Transactions on Industry Applications. 2025 Feb 24.
24. [24] Sayed MM, Mahdy MY, Abdel Aleem SH, Youssef HK, Boghdady TA. Simultaneous distribution network reconfiguration and optimal allocation of renewable-based distributed generators and shunt capacitors under uncertain conditions. Energies. 2022 Mar 21;15(6):2299.
25. [25] Qi, Qi, et al. "Multi-objective optimization of electrical distribution network operation considering reconfiguration and soft open points." Energy Procedia 103 (2016): 141-146.
26. [26] Wang J, Wang WQ, Wang HY. Bi-stage operation optimization of active distribution networks with soft open point considering violation risk. Energy Reports. 2022 Nov 1;8:14947-61.
27. [27] Janamala V, Radha Rani K, Sobha Rani P, Venkateswarlu AN, Inkollu SR. Optimal switching operations of soft open points in active distribution network for handling variable penetration of photovoltaic and electric vehicles using artificial rabbits optimization. Process Integration and Optimization for Sustainability. 2023 Mar;7(1):419-37
28. [28] Sharma S, Niazi KR, Verma K, Rawat T. Impact of battery energy storage, controllable load and network reconfiguration on contemporary distribution network under uncertain environment. IET Generation, Transmission & Distribution. 2020 Nov;14(21):4719-27
29. [29] Rehman, Asad, et al. "Critical Issues of Optimal Reactive Power Compensation Based on an HVAC Transmission System for an Offshore Wind Farm." Sustainability 15.19 (2023): 14175. https://doi.org/10.3390/su151914175
30. [30] Guo, Wang, and Wu Xu. "Research on optimization strategy of harmonic suppression and reactive power compensation of photovoltaic multifunctional grid connected inverter." International Journal of Electrical Power & Energy Systems 145 (2023): 108649. https://doi.org/10.1016/j.ijepes.2022.108649
31. [31] Hou, Luyang, et al. "Energy management for solar-hydrogen microgrids with vehicle-to-grid and power-to-gas transactions." International Journal of Hydrogen Energy 48.5 (2023): 2013-2029. https://doi.org/10.1016/j.ijhydene.2022.09.238
32. [32] Abubakr, Hussein, et al. "Adaptive frequency regulation strategy in multi-area microgrids including renewable energy and electric vehicles supported by virtual inertia." International Journal of Electrical Power & Energy Systems 129 (2021): 106814. https://doi.org/10.1016/j.ijepes.2021.106814
33. [33] Zand, Mohammad, et al. "Energy management strategy for solid‐state transformer‐based solar charging station for electric vehicles in smart grids." IET renewable power generation 14.18 (2020): 3843-3852. https://doi.org/10.1049/ietrpg. 2020.0399
34. [34] Dubey, Anamika, and Surya Santoso. "Electric vehicle charging on residential distribution systems: Impacts and mitigations." IEEe Access 3 (2015): 1871-1893.
35. [35] Padullaparti, Harsha, et al. "Conservation voltage reduction with distributed energy resource management system, gridedge, and legacy devices." 2023 IEEE Power & Energy Society General Meeting (PESGM). IEEE, 2023.
36. [36] Sirjani, Reza, and Ahmad Rezaee Jordehi. "Optimal placement and sizing of distribution static compensator (DSTATCOM) in electric distribution networks: A review." Renewable and Sustainable Energy Reviews 77 (2017): 688- 694.
37. [37] Zhao, Xin, et al. "Power system support functions provided by smart inverters—A review." CPSS Transactions on Power Electronics and Applications 3.1 (2018): 25-35.
38. [38] Bhattarai, Bishnu P., et al. "Design and cosimulation of hierarchical architecture for demand response control and coordination." IEEE Transactions on Industrial Informatics 13.4 (2016): 1806-1816.
39. [39] H. Cheng, W.-S. Cao, and P.-J. Ge, “Forecasting research of long-term solar irradiance and output power for photovoltaic generation system,” in Proc. 4th Int. Conf. Comput. Inf. Sci., Aug. 2012, pp. 1224–1227
40. [40] Nallakaruppan, M. K., et al. "Advancing solar energy integration: Unveiling XAI insights for enhanced power system management and sustainable future." Ain Shams Engineering Journal 15.6 (2024): 102740.
41. [41] Adepoju, Gafari Abiola, et al. "Impact of DSTATCOM penetration level on technical benefits in radial distribution network." e-Prime-Advances in Electrical Engineering, Electronics and Energy 7 (2024): 100413.
42. [42] Gupta, Atma Ram, and Ashwani Kumar. "Impact of DG and D-STATCOM placement on improving the reactive loading capability of mesh distribution system." Procedia Technology 25 (2016): 676-683.
43. [43] Gholami, Khalil, et al. "State-of-the-art technologies for volt-var control to support the penetration of renewable energy into the smart distribution grids." Energy Reports 8 (2022): 8630-8651.
44. [44] Dash, Subrat Kumar, et al. "Optimal planning of multitype DGs and D-STATCOMs in power distribution network using an efficient parameter free metaheuristic algorithm." Energies 15.9 (2022): 3433.
45. [45] Raj, A. Ferminus, and A. Gnana Saravanan. "An optimization approach for optimal location & size of DSTATCOM and DG." Applied Energy 336 (2023): 120797.
46. [46] Ganesh, Selvaraj, and Rajangam Kanimozhi. "Meta‐heuristic technique for network reconfiguration in distribution system with photovoltaic and D‐STATCOM." IET Generation, Transmission & Distribution 12.20 (2018): 4524-4535.
47. [47] Pappu, Soundarya Lahari, Varaprasad Janamala, and A. S. Veerendra. "Hunter–Prey Optimization Algorithm for Optimal Allocation of PV, DSTATCOM, and EVCS in Radial Distribution Systems." Advanced Control for Applications: Engineering and Industrial Systems 6.4 (2024): e231.
48. [48] Brini, Saoussen, Hsan Hadj Abdallah, and Abderrazak Ouali. "Economic dispatch for power system included wind and solar thermal energy." Leonardo Journal of Sciences 14.2009 (2009): 204-220.
49. [49] Huang, Liping, et al. "Electric Vehicle Cluster Scheduling Model for Distribution Systems Considering Reactive-Power Compensation of Charging Piles." Energies 17.11 (2024): 2541
50. [50] Gholami, Khalil, et al. "Voltage stability improvement of distribution networks using reactive power capability of electric vehicle charging stations." Computers and Electrical Engineering 116 (2024): 109160. https://doi.org/10.1016/j.compeleceng.2024.109160
51. [51] Giridhar, M. S., et al. "Mayfly Algorithm for Optimal Integration of Hybrid Photovoltaic/Battery Energy Storage/DSTATCOM System for Islanding Operation." International Journal of Intelligent Engineering & Systems 15.3 (2022).
52. [52] Pandraju, T. K. S., & Janamala, V. (2021). Dynamic optimal network reconfiguration under photovoltaic generation and electric vehicle fleet load variability using self-adaptive butterfly optimization algorithm. Int. J. Emerging Electric Power Systems. https://doi.org/10.1515/ijeeps-2021-0009
53. [53] Şengör, İbrahim, et al. "Day‐ahead charging operation of electric vehicles with on‐site renewable energy resources in a mixed integer linear programming framework." IET smart grid 3.3 (2020): 367-375.
54. [54] Naruei, Iraj, Farshid Keynia, and Amir Sabbagh Molahosseini. "Hunter–prey optimization: Algorithm and applications." Soft Computing 26.3 (2022): 1279-1314.
55. [55] Lahari, Pappu Soundarya, and Varaprasad Janamala. "Hunter–Prey Optimization Algorithm: a review." Journal of Electrical Systems and Information Technology 11.1 (2024): 19.
56. [56] Wang, Xiangyue, et al. "Short-term wind power prediction by an extreme learning machine based on an improved hunter– prey optimization algorithm." sustainability 15.2 (2023): 991
57. [57] Fu, Mingxin, and Qiang Liu. "An Improved Hunter-prey Optimization Algorithm and Its Application." 2022 IEEE International Conference on Networking, Sensing and Control (ICNSC). IEEE, 2022
58. [58] Hassan, Mohamed H., et al. "An enhanced hunter‐prey optimization for optimal power flow with FACTS devices and wind power integration." IET Generation, Transmission & Distribution (2023).
59. [59] He Qing, Xu Qinshuai, Wei Kangyuan. Optimization of wireless sensor node deployment based on improved sine cosine algorithm [J]. Computer Application, 2019, 39 (07): 2035-2043
60. [60] Singh, Mukesh, Praveen Kumar, and Indrani Kar. "Implementation of vehicle to grid infrastructure using fuzzy logic controller." IEEE Transactions on Smart Grid 3.1 (2012): 565-577.