Optimal Control of Switched Capacitor Banks in Vietnam Distribution Network Using Integer Genetic Algorithm

Thanh-Son Tran, Thu-Huyen Dang, Anh-Tung Tran

Abstract


In distribution network, power and energy losses can be reduced by using switched capacitor banks. The capacitor banks can be switched on or off based on voltage profile or power factor or using timers. Due to variation of load, it is necessary to control the capacitor banks switching in function of load curve. This paper presents the application of an integer genetic algorithm to determine the optimal number of banks corresponding with hourly load to minimize total active power losses of distribution feeders. The problem constraints include voltage profile and heat conditions which are taken into account to the objective function by a penalty function. In this application, the structure of chromosomes is a set of numbers of the capacitor banks hourly connected to the grid. The proposed formulation is validated by a feeder. The result shows that in some cases, the active power losses at maximum compensation are greater than the ones of optimal control compensation, and the voltage reaches a higher level than the maximum voltage limit. The optimal control of switched capacitor banks can reduce power and energy losses as well as ensure maximum voltage profile within the limit.

Keywords


Optimal Operation; Integer Genetic Algorithm; Power Losses; Switched Capacitor Banks; Voltage Profile

References


Kehinde Adeleye Makinde, Daniel Oluwaseun Akinyele, Abraham Olatide Amole, “Voltage Rise Problem in Distribution Networks with Distributed Generation: A Review of Technologies, Impact and Mitigation Approaches,” Indonesian Journal of Electrical Engineering and Informatics, Vol. 9, No. 3, September 2021, pp. 575~600, DOI: 10.52549/ijeei.v9i3.2971

Abdulhamid Musa1, Tengku Juhana Tengku Hashim, “Optimal sizing and location of multiple distributed generation for power loss minimization using genetic algorithm,” Indones. J. Electr. Eng. Comput. Sci., Vol. 16, No. 2, November 2019, pp. 956~963, DOI: 10.11591/ijeecs.v16.i2.pp956-963

Satish Kumar Injeti, Vinod Kumar Thunuguntla, Meera Shareef, Optimal allocation of capacitor banks in radial distribution systems for minimization of real power loss and maximization of network savings using bio-inspired optimization algorithms, International Journal of Electrical Power & Energy Systems, Volume 69, 2015, Pages 441-455, ISSN 0142-0615, https://doi.org/10.1016/j.ijepes.2015.01.040.

W. Moreti da Rosa, P. Rossoni, J. C. Teixeira, E. A. Belati and P. Teixeira Leite Asano, "Optimal Allocation of Capacitor Banks using Genetic Algorithm and Sensitivity Analysis," in IEEE Latin America Transactions, vol. 14, no. 8, pp. 3702-3707, Aug. 2016, doi: 10.1109/TLA.2016.7786353.

T. P. M. Mtonga, K. K. Kaberere and G. K. Irungu, "Optimal Shunt Capacitors’ Placement and Sizing in Radial Distribution Systems Using Multiverse Optimizer," in IEEE Canadian Journal of Electrical and Computer Engineering, vol. 44, no. 1, pp. 10-21, winter 2021, doi: 10.1109/ICJECE.2020.3012041.

A. Noori, Y. Zhang, N. Nouri and M. Hajivand, "Multi-Objective Optimal Placement and Sizing of Distribution Static Compensator in Radial Distribution Networks With Variable Residential, Commercial and Industrial Demands Considering Reliability," in IEEE Access, vol. 9, pp. 46911-46926, 2021, doi: 10.1109/ACCESS.2021.3065883.

L. A. Gallego, J. M. López-Lezama and O. G. Carmona, "A Mixed-Integer Linear Programming Model for Simultaneous Optimal Reconfiguration and Optimal Placement of Capacitor Banks in Distribution Networks," in IEEE Access, vol. 10, pp. 52655-52673, 2022, doi: 10.1109/ACCESS.2022.3175189.

Amir Ameli, Amir Ahmadifar, Mohammad-Hossein Shariatkhah, Mehdi Vakilian, Mahmoud-Reza Haghifam, A dynamic method for feeder reconfiguration and capacitor switching in smart distribution systems, International Journal of Electrical Power & Energy Systems, Volume 85, 2017, Pages 200-211, ISSN 0142-0615, https://doi.org/10.1016/j.ijepes.2016.09.008.

Electricity of Vietnam, Annual Report 2021 (https://www.evn.com.vn)

Ministry of Industry and Trade, Circular No. 15/2014/TT-BCT, May 28, 2014, Circular on Reactive Power Trading

J. Liu, A. C. Liddell, J. Mareček and M. Takáč, "Hybrid Methods in Solving Alternating-Current Optimal Power Flows," in IEEE Transactions on Smart Grid, vol. 8, no. 6, pp. 2988-2998, Nov. 2017, doi: 10.1109/TSG.2017.2715282.

S. Lyden, H. Galligan and M. E. Haque, "A Hybrid Simulated Annealing and Perturb and Observe Maximum Power Point Tracking Method," in IEEE Systems Journal, vol. 15, no. 3, pp. 4325-4333, Sept. 2021, doi: 10.1109/JSYST.2020.3021379.

Z. Deng, M. Liu, Y. Ouyang, S. Lin and M. Xie, "Multi-Objective Mixed-Integer Dynamic Optimization Method Applied to Optimal Allocation of Dynamic Var Sources of Power Systems," in IEEE Transactions on Power Systems, vol. 33, no. 2, pp. 1683-1697, March 2018, doi: 10.1109/TPWRS.2017.2724058.

B. Wang, P. Zhang, Y. He, X. Wang and X. Zhang, "Scenario-oriented hybrid particle swarm optimization algorithm for robust economic dispatch of power system with wind power," in Journal of Systems Engineering and Electronics, vol. 33, no. 5, pp. 1143-1150, October 2022, doi: 10.23919/JSEE.2022.000110.

F Deep, Kusum, Krishna Pratap Singh, M.L. Kansal, and C. Mohan. A real coded genetic algorithm for solving integer and mixed integer optimization problems. Applied Mathematics and Computation, 212(2), pp. 505–518, 2009.

F Sakawa, M. (2002). Genetic Algorithms for Integer Programming. In: Genetic Algorithms and Fuzzy Multiobjective Optimization. Operations Research/Computer Science Interfaces Series, vol 14. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-1519-7_5

G. W. Chang, S. Y. Chu and H. L. Wang, "An Improved Backward/Forward Sweep Load Flow Algorithm for Radial Distribution Systems," in IEEE Transactions on Power Systems, vol. 22, no. 2, pp. 882-884, May 2007, doi: 10.1109/TPWRS.2007.894848.

P. Samal and S. Ganguly, "A modified forward backward sweep load flow algorithm for unbalanced radial distribution systems," 2015 IEEE Power & Energy Society General Meeting, Denver, CO, USA, 2015, pp. 1-5, doi: 10.1109/PESGM.2015.7286413.

Khairul Anwar Ibrahim, Mau Teng Au, Chin Kim Gan, “A new methodology for technical losses estimation of radial distribution feeder,” Indones. J. Electr. Eng. Comput. Sci., Vol. 16, No. 3, December 2019, pp. 1126~1135, DOI: 10.11591/ijeecs.v16.i3.pp1126-1135

G. A. Setia, G. HM Sianipar, K. Samudra, F. Haz, N. Winanti and H. R. Iskandar, "Implementation of Backward-Forward Sweep Method on Load Model Variation of Distribution Systems," 2019 2nd International Conference on High Voltage Engineering and Power Systems (ICHVEPS), Denpasar, Indonesia, 2019, pp. 1-5, doi: 10.1109/ICHVEPS47643.2019.9011141.

F. Hameed, M. Al Hosani and H. H. Zeineldin, "A Modified Backward/Forward Sweep Load Flow Method for Islanded Radial Microgrids," in IEEE Transactions on Smart Grid, vol. 10, no. 1, pp. 910-918, Jan. 2019, doi: 10.1109/TSG.2017.2754551.

Jabari, F., Sohrabi, F., Pourghasem, P., Mohammadi-Ivatloo, B. (2020). Backward-Forward Sweep Based Power Flow Algorithm in Distribution Systems. In: Pesaran Hajiabbas, M., Mohammadi-Ivatloo, B. (eds) Optimization of Power System Problems . Studies in Systems, Decision and Control, vol 262. Springer, Cham. https://doi.org/10.1007/978-3-030-34050-6_14

K. Murari, N. Prasad Padhy and S. Kamalasadan, "Backward-Forward Sweep Based Power Flow Algorithm for Radial and Meshed AC-DC Distribution System," 2021 IEEE Industry Applications Society Annual Meeting (IAS), Vancouver, BC, Canada, 2021, pp. 1-8, doi: 10.1109/IAS48185.2021.9677175.

A. C. Megherbi, H. Megherbi, A. Dendouga, K. Benmahammed and A. Aissaoui, "Real coded Integer Genetic Algorithm for parameter identification of non linear system," 2011 International Conference on Communications, Computing and Control Applications (CCCA), Hammamet, Tunisia, 2011, pp. 1-6, doi: 10.1109/CCCA.2011.6031502.

J. D. Foster, A. M. Berry, N. Boland and H. Waterer, "Comparison of Mixed-Integer Programming and Genetic Algorithm Methods for Distributed Generation Planning," in IEEE Transactions on Power Systems, vol. 29, no. 2, pp. 833-843, March 2014, doi: 10.1109/TPWRS.2013.2287880.


Full Text: PDF

Refbacks

  • There are currently no refbacks.


 

Indonesian Journal of Electrical Engineering and Informatics (IJEEI)
ISSN 2089-3272

Creative Commons Licence

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

web analytics
View IJEEI Stats

Error. Page cannot be displayed. Please contact your service provider for more details. (2)