تعداد نشریات | 27 |
تعداد شمارهها | 364 |
تعداد مقالات | 3,223 |
تعداد مشاهده مقاله | 4,741,383 |
تعداد دریافت فایل اصل مقاله | 3,238,607 |
A Practical Approach for Coordinated Transmission Switching and OLTCs’ Tap Adjustment: DIgSILENT-Based Improved PSO Algorithm | ||
Journal of Operation and Automation in Power Engineering | ||
دوره 9، شماره 2، آبان 2021، صفحه 103-115 اصل مقاله (646.19 K) | ||
نوع مقاله: Research paper | ||
شناسه دیجیتال (DOI): 10.22098/joape.2021.7378.1533 | ||
نویسندگان | ||
A. Bagheri* 1، 2؛ A. Rabiee1، 2؛ S. Galavani2، 3؛ H. Yassami2، 4؛ A. Moeini2، 5 | ||
1Department of Electrical Engineering, Faculty of Engineering, University of Zanjan, Zanjan, Iran | ||
2Planning and Research Deputy, Zanjan Regional Electric Company, Zanjan, Iran | ||
3Faculty of Electrical and Computer Engineering, Urmia University, Urmia, Iran | ||
4Saba Power Plant, Operation and Maintenance Company, Tehran, Iran | ||
5Hydro Quebec Research Institute, Quebec, Canada | ||
چکیده | ||
Transmission lines switching and tap adjustment of power transformers are short-term alternatives to enhance the flexibility of power system operation. By a proper implementation of these alternatives, the operational problems such as lines congestion, bus voltage violations and excessive power losses can be alleviated. Traditionally, these two alternatives are applied separately due to the complexity of their simultaneous implementation as well as their coordination. In this paper, a DIgSILENT-based improved particle swarm optimization (IPSO) algorithm is proposed to implement the transmission switching and coordinated voltage control of power transformers, concurrently. The IPSO is implemented in DPL environment of Powerfactory-DIgSILENT, as a powerful software package commonly used by the electrical utilities. The proposed approach is applied to IEEE-14 bus system and the real transmission network of Zanjan Regional Electric Company (ZREC) located in Iran, in different scenarios considering all the existing practical constraints. The obtained results verify the effectiveness of the presented approach. | ||
کلیدواژهها | ||
Transmission switching؛ OLTC’s tap adjustment؛ Improved PSO؛ DIgSILENT | ||
مراجع | ||
[1] H. Seifi and S. Sepasian, “Electric power system planning: issues, algorithms and solutions”, Springer Science & Business Media, 2011.
[2] H. Shayeghi and A. Bagheri, “A dynamic sub-transmission system expansion planning incorporating distributed generation using hybrid DCGA and LP technique”, Elect. Power Energ. Syst., vol. 1, pp. 111-22, 2013.
[3] M. Mahdavi, C. Antunez, M. Ajalli and R. Romero, “Transmission expansion planning: literature review and classification”, IEEE Syst. Journal, vol. 13, pp. 3129-40, 2018.
[4] E. Fisher, R. O'Neill and M. Ferris, “Optimal transmission switching”, IEEE Trans. Power Syst., vol. 23, pp. 346-55, 2008.
[5] J. Zhu et al., “Security and optimization rule-based coordinated generator simultaneous tap changing dispatch scheme for transmission voltage regulation”, Elect. Power Energ. Syst., vol. 1, pp. 105366, 2020.
[6] N. Viafora, S. Delikaraoglou, P. Pinson and J. Holboll, “Chance-constrained optimal power flow with non-parametric probability distributions of dynamic line ratings”, Elect. Power Energ. Syst., vol. 114, p.105389, 2020.
[7] Z. Tang, D. Hill, T. Liu and H. Ma, “Hierarchical voltage control of weak subtransmission networks with high penetration of wind power”, IEEE Trans. Power Syst., vol. 3, pp.187-217, 2017.
[8] A. Bayat, A. Bagheri and R. Noroozian, “Optimal siting and sizing of distributed generation accompanied by reconfiguration of distribution networks for maximum loss reduction by using a new UVDA-based heuristic method”, Elect. Power Energ. Syst., vol. 77, pp. 360-371, 2016.
[9] B. Mukhopadhyay and D. Das, “Multi-objective dynamic and static reconfiguration with optimized allocation of PV-DG and battery energy storage system”, Renew. Sust. Energ. Rev., vol. 124, pp. 109777, 2020.
[10] H. Teimourzadeh and B. Mohammadi-Ivatloo, “A three-dimensional group search optimization approach for simultaneous planning of distributed generation units and distribution network reconfiguration”, Applied Soft Comp., vol. 88, pp. 106012, 2020.
[11] I. Sarantakos et al., “A method to include component condition and substation reliability into distribution system reconfiguration”, Elect. Power Energ. Syst., vol. 109, pp. 122-39, 2019.
[12] S. Pandey, S. Chanda, A. Srivastava and R. Hovsapian, “Resiliency-driven proactive distribution system reconfiguration with synchrophasor data”, IEEE Trans. Power Syst., vol. 35, pp.2748-58, 2020.
[13] A. Nikoobakht, J. Aghaei and M. Mardaneh, “Optimal transmission switching in the stochastic linearised SCUC for uncertainty management of the wind power generation and equipment failures”, IET Gen., Trans. Distr., vol. 11, pp. 2664-76, 2018.
[14] Y. Sang and M. Sahraei-Ardakani, “The interdependence between transmission switching and variable-impedance series FACTS devices”, IEEE Trans. Power Syst., vol. 33, pp. 2792-03, 2017.
[15] S. Salkuti, “Congestion management using optimal transmission switching”, IEEE Syst. J., vol. 12, pp. 3555-64, 2018.
[16] T. Niknam et al., “Multiobjective optimal reactive power dispatch and voltage control: a new opposition-based self-adaptive modified gravitational search algorithm”, IEEE Syst. J., vol. 7, pp. 742-53, 2013.
[17] H. Ma and D. Hill, “Adaptive coordinated voltage control-Part I: Basic scheme”, IEEE Trans. Power Syst., vol. 29, pp. 1546-53, 2013.
[18] M. Bahadornejad and N. Nair, “Intelligent control of on-load tap changing transformer”, IEEE Trans. Smart Grid, vol. 5, pp. 2255-63, 2014.
[19] V. Venkatasubramanian et al., “Hierarchical two-level voltage controller for large power systems”, IEEE Trans. Power Syst., vol. 31, pp. 397-411, 2015.
[20] R. Eberhart and J. Kennedy, “A new optimizer using particle swarm theory”, Proc. Sixth Int. Symp. Micro Machine Human Science, 1995.
[21] Y. Jin, H. Cheng, J. Yan and L. Zhang, “New discrete method for particle swarm optimization and its application in transmission network expansion planning”, Electr. Power Syst. Res., vol. 77, pp. 227-233, 2007.
[22] M. Clerc and J. Kennedy, “The particle swarm-explosion, stability, and convergence in a multidimensional complex space”, IEEE Tans. Evol. Comp., vol. 6, pp. 58-73, 2020.
[23] A. Nickabadi, M. Ebadzadeh and R. Safabakhsh, “A novel particle swarm optimization algorithm with adaptive inertia weight”, Applied Soft Comp., vol. 11, pp. 3658-70, 2011.
[24] H. Shayeghi and M. Ghasemi, “FACTS devices allocation using a novel dedicated improved PSO for optimal operation of power system”, J. Oper. Autom. Power Eng., vol. 1, pp. 1-11, 2013
[25] A. Bagheri, A. Rabiee., S. Galvani and F. Fallahi, “Congestion management through optimal allocation of FACTS devices using DigSILENT-based DPSO algorithm- a real case study”, J. Oper. Autom. Power Eng., vol. 8, pp. 97-115, 2020.
[26] M. Ebeed, S. Kamel, J. Yu and F. Jurado, “Development of UPFC operating constraints enforcement approach for power flow control”, IET Gen., Trans. Distrib., vol. 13, pp. 4579-91, 2019. | ||
آمار تعداد مشاهده مقاله: 961 تعداد دریافت فایل اصل مقاله: 884 |