Education, Science, Technology, Innovation and Life
Open Access
Sign In
  1. Home
  2. Journals
  3. Journal of Electrotechnology, Electrical Engineering and Management
  4. Vol 9, Issue 1, 2026

Coordinated Voltage Regulation and Steady-State Operation Optimization for High-PV Distribution Networks

Download as PDF

DOI: 10.23977/jeeem.2026.090105 | Downloads: 0 | Views: 15

Author(s)

Xu Li 1

Affiliation(s)

1 School of Electrical Engineering, Shen Guorong School, Nanjing Institute of Technology, Nanjing, Jiangsu, 211167, China

Corresponding Author

Xu Li

ABSTRACT

With the rapid development of new power systems, the high penetration of distributed photovoltaic (PV) generation has created significant challenges for the steady-state operation of distribution networks. During periods of strong solar irradiation, the intermittency of PV output may lead to reverse power flow, voltage-limit violations, and increased network losses. To address these issues, this paper proposes a steady-state operation optimization and voltage-regulation strategy based on an Improved Particle Swarm Optimization (IPSO) algorithm. A single-snapshot optimization model is established to minimize active power loss and node-voltage deviation under a severe high-PV operating condition. The proposed IPSO incorporates a dynamic inertia-weight mechanism and a penalty-based treatment of discrete control variables, enabling coordinated optimization of PV-inverter reactive power and OLTC tap actions. Simulation results for a 33-bus radial distribution system show that the proposed strategy reduces active power loss by more than 70% compared with the unoptimized high-PV scenario, while maintaining all node voltages within the allowable range of 0.95–1.05 p.u. These results demonstrate the effectiveness of the proposed method for improving feeder operating performance under high-PV penetration conditions.

KEYWORDS

New power system, distribution network, voltage regulation, steady-state optimization, improved particle swarm optimization (IPSO)

CITE THIS PAPER

Xu Li. Coordinated Voltage Regulation and Steady-State Operation Optimization for High-PV Distribution Networks. Journal of Electrotechnology, Electrical Engineering and Management (2026). Vol. 9, No.1, 41-51. DOI: http://dx.doi.org/10.23977/jeeem.2026.090105.

REFERENCES

[1] Q.-H. Wu, A. Bose, C. Singh, J. H. Chow, G. Mu, Y. Sun, Z. Liu, Z. Li, Y. Liu, Control and stability of large-scale power system with highly distributed renewable energy generation: Viewpoints from six aspects, CSEE Journal of Power and Energy Systems 9 (1) (2023) 8–14.
[2] S. You, Z. Jiang, H. Li, M. Bennett, X. Zhang, Y. Su, A. Till, J. Till, Y. Liu, Y. Liu, Impact of high pv penetration on regional power grids, in: 2022 7th IEEE Workshop on the Electronic Grid (eGRID), IEEE, 2022, pp. 1–5.
[3] M. Ntombela, K. Musasa, M. C. Leoaneka, Power loss minimization and voltage profile improvement by system reconfiguration, dg sizing, and placement, Computation 10 (10) (2022) 180.
[4] A. Chanane, M. Belazzoug, A new optimization approach to solve the optimal reactive power dispatch problem for real power loss minimization, voltage deviation minimization and voltage stability enhancement, in: 2024 3rd International Conference on Advanced Electrical Engineering (ICAEE), IEEE, 2024, pp. 1–5.
[5] M. R. Jafari, M. Parniani, M. H. Ravanji, Decentralized control of oltc and pv inverters for voltage regulation in radial distribution networks with high pv penetration, IEEE Transactions on Power Delivery 37 (6) (2022) 4827–4837.
[6] Z. Chen, E. I. Rogozinnikov, S. Geng, T. Liao, Coordinated control of distributed bess based on mas for voltage regulation in lv distribution network with high pv penetration, in: 2023 3rd Power System and Green Energy Conference (PSGEC), IEEE, 2023, pp. 234–238.
[7] S.-K. Chen, Y.-J. Liu, Y.-T. Yang, T.-C. Huang, C.-S. Chen, Coordinated control of distributed pv inverters for voltage regulation in the high-pv penetration distribution network under fault events, in: 2025 Seventh International Symposium on Computer, Consumer and Control (IS3C), IEEE, 2025, pp. 1–4.
[8] P. A. Babu, J. L. M. Iqbal, S. S. Priyanka, M. J. Reddy, G. S. Kumar, R. Ayyasamy, Power control and optimization for power loss reduction using deep learning in microgrid systems, Electric Power Components and Systems 52 (2) (2024) 219–232.
[9] S. Bhuyan, M. Das, K. c. Bhuyan, Particle swarm optimizations based dg allocation in local pv distribution networks for voltage profile improvement, in: 2016 International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES), IEEE, 2016, pp. 1–4.
[10] S. Gao, H. Wang, C. Wang, S. Gu, H. Xu, H. Ma, Reactive power optimization of low voltage distribution network based on improved particle swarm optimization, in: 2017 IEEE Conference on Energy Internet and Energy System Integration (EI2), IEEE, 2017, pp. 1–5.

Subscription
E-Mail Alert
Most popular papers
Call for Special Issue
Publication Ethics & OA Statement
Plagiarism Policy
Contact Us
Downloads: 6343
Visits: 368694

Sponsors, Associates, and Links

All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.