Utilizing a New Voltage Stability Index in Distribution Power System in Presence of Wind Turbine Units

Document Type : Original Article

Authors

Department of Electrical Engineering, Zanjan Branch, Islamic Azad University, Zanjan, Iran

Abstract

Equipping renewable energy resources generation units in the distribution network to reduce economical and emission concerns are the examples of active distribution network(ADN). The other advantages of utilizing distributed generators (DGs) are improving technical constraints of ADN. In this paper multi-benefit functions are defined as main functions. Each of functions illustrates the positive impacts of utilizing wind turbines in the improving technical constraints of the ADN. Voltage stability (VS) is one of the main technical indices of the ADN. Several VSIs are defined to evaluate voltage stability of the ADN. The previous indices could not give the proper results about allocating DGs and accurate evaluating of voltage stability of ADN. This work proposes the new VSI. To this aim active power loss (APL), reactive power loss (RPL) and voltage stability index (VSI) are considered as technical constraints. In order to evaluate the presence of WT on improving APL and RPL, WTs are considered in two operational modes; unified power factor (UPF) and (APF). The main benefit function is solved by implementing genetic algorithm (GA). Multiplying weights to the APL, RPL and VSI (which are improved by attendance WTs) in benefit function formulation, make the multi-criteria decision formation to the proposed optimization problem. By employing analytical hierarchy process (AHP) technique and considering each technical constraints as main criteria, the obtained solutions are arranged. To verify the positive effectiveness of the proposed VSI, its results are compared with the results of other VSIs in the 33, 67 and 118 bus IEEE radial DN.

Graphical Abstract

Utilizing a New Voltage Stability Index in Distribution Power System in Presence of Wind Turbine Units

Keywords

Main Subjects


  1. Farzinfar M, Jazaeri M. A novel methodology in optimal setting of directional fault current limiter and protection of the MG. International Journal of Electrical Power & Energy Systems. 2020;116:105564. 10.1016/j.ijepes.2019.105564
  2. Sundarajoo S, Soomro DM. Optimal Load Shedding for Voltage Collapse Prevention Following Overloads in Distribution System. International Journal of Engineering, Transactions A: Basics. 2023;36(7):1230-8. 10.5829/IJE.2023.36.07A.04
  3. Mobashsher MM, Keypour R, Savaghebi M. Distributed optimal voltage control in islanded microgrids. International Transactions on Electrical Energy Systems. 2021;31(11):e13045. 10.1002/2050-7038.13045
  4. Tooryan F, HassanzadehFard H, Collins ER, Jin S, Ramezani B. Optimization and energy management of distributed energy resources for a hybrid residential microgrid. Journal of Energy Storage. 2020;30:101556. 10.1016/j.est.2020.101556
  5. Yousefipour A, Rahmani A, Jahanshahi M. Improving the load balancing and dynamic placement of virtual machines in cloud computing using particle swarm optimization algorithm. International Journal of Engineering, Transactions C: Aspects. 2021;34(6):1419-29. 10.5829/IJE.2021.34.06C.05
  6. Wang G, Wang Q, Qiao Z, Wang J, Anderson S. Optimal planning of multi-micro grids based-on networks reliability. Energy Reports. 2020;6:1233-49. 10.1016/j.egyr.2020.05.007
  7. Elmaadawy K, Kotb KM, Elkadeem M, Sharshir SW, Dán A, Moawad A, et al. Optimal sizing and techno-enviro-economic feasibility assessment of large-scale reverse osmosis desalination powered with hybrid renewable energy sources. Energy Conversion and Management. 2020;224:113377. 10.1016/j.enconman.2020.113377
  8. Mubaarak S, Zhang D, Wang L, Mohan M, Kumar PM, Li C, et al. Efficient photovoltaics-integrated hydrogen fuel cell-based hybrid system: Energy management and optimal configuration. Journal of Renewable and Sustainable Energy. 2021;13(1). 10.1063/1.5141932
  9. Mehranfar N, Hajiaghaei-Keshteli M, Fathollahi-Fard AM. A novel hybrid whale optimization algorithm to solve a production-distribution network problem considering carbon emissions. International Journal of Engineering, Transactions C: Aspects. 2019;32(12):1781-9. 10.5829/IJE.2019.32.12C.11
  10. Bujal NR, Sulaiman M, Abd Kadir AF, Khatib T, Eltawil N. A Comparison between GSA and IGSA for optimal allocation and sizing of dg and impact to voltage stability margin in electrical distribution system. Journal of Electrical Engineering & Technology. 2021;16:2949-66. 10.1007/s42835-021-00829-y
  11. Mastoi MS, Tahir M, Usman M, Wang D, Zhuang S, Hassan M. Research on power system transient stability with wind generation integration under fault condition to achieve economic benefits. IET Power Electronics. 2022;15(3):263-74. 10.1049/pel2.12228
  12. Azad S, Amiri MM, Heris MN, Mosallanejad A, Ameli MT. A novel analytical approach for optimal placement and sizing of distributed generations in radial electrical energy distribution systems. Sustainability. 2021;13(18):10224. 10.3390/su131810224
  13. Mirjalili S, Gandomi AH, Mirjalili SZ, Saremi S, Faris H, Mirjalili SM. Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems. Advances in engineering software. 2017;114:163-91. 10.1016/j.advengsoft.2017.07.002
  14. Barnwal AK, Yadav LK, Verma MK. A multi-objective approach for voltage stability enhancement and loss reduction under PQV and P buses through reconfiguration and distributed generation allocation. IEEE Access. 2022;10:16609-23. 10.1109/ACCESS.2022.3146333
  15. Nageswari D, Kalaiarasi N, Geethamahalakshmi G. Optimal Placement and Sizing of Distributed Generation Using Metaheuristic Algorithm. Comput Syst Sci Eng. 2022;41(2):493-509. 10.32604/csse.2022.020539
  16. Nafeh AA, Heikal A, El-Sehiemy RA, Salem WA. Intelligent fuzzy-based controllers for voltage stability enhancement of AC-DC micro-grid with D-STATCOM. Alexandria Engineering Journal. 2022;61(3):2260-93. 10.1016/j.aej.2021.07.012
  17. Onlam A, Yodphet D, Chatthaworn R, Surawanitkun C, Siritaratiwat A, Khunkitti P. Power loss minimization and voltage stability improvement in electrical distribution system via network reconfiguration and distributed generation placement using novel adaptive shuffled frogs leaping algorithm. Energies. 2019;12(3):553. 10.3390/en12030553
  18. Hamid ZA, Jipinus S, Musirin I, Othman MM, Salimin RH. Optimal sizing of distributed generation using firefly algorithm and loss sensitivity for voltage stability improvement. Indonesian Journal of Electrical Engineering and Computer Science. 2020;17(2):720-7. 10.11591/ijeecs.v17.i2.pp720-727
  19. Mehta P, Bhatt P, Pandya V. Optimal selection of distributed generating units and its placement for voltage stability enhancement and energy loss minimization. Ain Shams Engineering Journal. 2018;9(2):187-201. 10.1016/j.asej.2015.10.009
  20. Ahangar ARH, Gharehpetian GB, Baghaee HR. A review on intentional controlled islanding in smart power systems and generalized framework for ICI in microgrids. International Journal of Electrical Power & Energy Systems. 2020;118:105709. 10.1016/j.ijepes.2019.105709
  21. Guerrero JM, Loh PC, Lee T-L, Chandorkar M. Advanced control architectures for intelligent microgrids—Part II: Power quality, energy storage, and AC/DC microgrids. IEEE Transactions on industrial electronics. 2012;60(4):1263-70. 10.1109/TIE.2012.2196889
  22. Sundarajoo S, Soomro DM. Optimal Load Shedding for Voltage Collapse Prevention Following Overloads in Distribution System. International Journal of Engineering. 2023;36(7):1230-8. 10.5829/IJE.2023.36.07A.04
  23. Sadeghi SE, Akbari Foroud A. A general index for voltage stability assessment of power system. International Transactions on Electrical Energy Systems. 2021;31(12):e13155. doi.org/10.1002/2050-7038.13155
  24. Sadeghi SE, Akbari Foroud A. A new approach for static voltage stability assessment in distribution networks. International Transactions on Electrical Energy Systems. 2020;30(3):e12203. doi.org/10.1002/2050-7038.12203
  25. Bai W, Abedi MR, Lee KY. Distributed generation system control strategies with PV and fuel cell in microgrid operation. Control Engineering Practice. 2016;53:184-93. 10.1016/j.conengprac.2016.02.002
  26. Samadi A, Eriksson R, Söder L, Rawn BG, Boemer JC. Coordinated active power-dependent voltage regulation in distribution grids with PV systems. IEEE Transactions on power delivery. 2014;29(3):1454-64. 10.1109/TPWRD.2014.2298614
  27. Jia H, Hou Q, Yong P, Liu Y, Zhang N, Liu D, et al. Voltage stability constrained operation optimization: An ensemble sparse oblique regression tree method. IEEE Transactions on Power Systems. 2023. https://doi.org/10.1109/TPWRS.2023.3236164
  28. Kyomugisha R, Muriithi CM, Nyakoe GN. Performance of various voltage stability indices in a stochastic multiobjective optimal power flow using mayfly algorithm. Journal of Electrical and Computer Engineering. 2022;2022. 10.1155/2022/7456333
  29. Mahmoud MM, Esmail YM, Atia BS, Kamel OM, AboRas KM, Bajaj M, et al. Voltage quality enhancement of low-voltage smart distribution system using robust and optimized DVR controllers: Application of the Harris hawks algorithm. International Transactions on Electrical Energy Systems. 2022;2022. 10.1155/2022/4242996
  30. Li B, Hu K, Ma J, Xu S, He Y, Jiao H, et al. The new definitions of loss function for the model-based parameter identification method in power distribution network. International Transactions on Electrical Energy Systems. 2022;2022. 10.1155/2022/4197043
  31. Hossen MD, Islam MF, Ishraque MF, Shezan SA, Arifuzzaman S. Design and implementation of a hybrid solar-wind-biomass renewable energy system considering meteorological conditions with the power system performances. International journal of photoenergy. 2022;2022. 10.1155/2022/8792732
  32. Gupta SK. Mathematical Modeling and Analysis of Improved Grey Wolf Optimization Algorithm-Based Multi-Objective Power Flow Optimization for IEEE-118 Bus Test System. Rivista Italiana di Filosofia Analitica Junior. 2023;14(2):395-408. 10.52783/tjjpt.v44.i2.139