پیوندهای مفید
آمار
| تعداد نشریات | 31 |
| تعداد شمارهها | 463 |
| تعداد مقالات | 4,080 |
| تعداد مشاهده مقاله | 6,846,440 |
| تعداد دریافت فایل اصل مقاله | 4,602,481 |
Congestion Management through Optimal Allocation of FACTS Devices Using DigSILENT-Based DPSO Algorithm- A Real Case Study | ||
| Journal of Operation and Automation in Power Engineering | ||
| مقاله 23، دوره 8، شماره 2، آبان 2020، صفحه 97-115 اصل مقاله (2.12 M) | ||
| نوع مقاله: Research paper | ||
| شناسه دیجیتال (DOI): 10.22098/joape.2019.6094.1462 | ||
| نویسندگان | ||
| A. Bagheri* 1؛ A Rabiee1؛ S. Galavani2؛ F. Fallahi3 | ||
| 1Department of Electrical Engineering, Faculty of Engineering, University of Zanjan, Zanjan, Iran | ||
| 2Faculty of Electrical and Computer Engineering, Urmia University, Urmia, Iran | ||
| 3Planning and Research Deputy, Gilan Regional Electric Company, Iran | ||
| چکیده | ||
| Flexible AC Transmission Systems (FACTS) devices have shown satisfactory performance in alleviating the problems of electrical transmission systems. Optimal FACTS allocation problem, which includes finding optimal type and location of these devices, have been widely studied by researchers for improving variety of power system technical parameters. In this paper, a DIgSILENT-based Discrete Particle Swarm Optimization (DPSO) algorithm is employed to manage the power flow, alleviate the congestion, and improve the voltage profile in a real case study. The DPSO have been programmed in DPL environment of DIgSILENT software and applied to the power grid of Gilan Regional Electric Company (GilREC), located in north of Iran. The conducted approach is a user-friendly decision making tool for the engineers of power networks as it is executed in DIgSILENT software which is widely used in electric companies for the power system studies. The simulation results demonstrate the effectiveness of the presented method in improving technical parameters of the test system through several case studies. | ||
| کلیدواژهها | ||
| FACTS devices allocation؛ Congestion management؛ FACTS devices؛ DPSO algorithm؛ DIgSILENT | ||
| مراجع | ||
|
[1] R. Hemmati, R. Hooshmand and A. Khodabakhshian, “Market based transmission expansion and reactive power planning with consideration of wind and load uncertainties”, Renewable Sustainable Energy Rev., vol. 29, pp. 1-10, 2014.
[2] T. Kishore and S. Singal, “Optimal economic planning of power transmission lines: a review”, Renewable Sustainable Energy Rev., vol. 39, pp. 949-974, 2014.
[3] R. Shah, N. Mithulananthan, R. Bansal and V. Ramachandaramurthy, “A review of key power system stability challenges for large-scale PV integration”, Renewable Sustainable Energy Rev., vol. 41, pp.1423-1436, 2015.
[4] K. Verma, S. Singh and H. Gupta, “Location of unified power flow controller for congestion management”, Elect. Power Syst. Res., vol. 58, pp. 89-96, 2001.
[5] J. Singh, S. Singh and S. Srivastava, “An approach for optimal placement of static VAr compensators based on reactive power spot price”, IEEE Trans. Power Syst., vol. 22, pp. 2021-2029, 2007.
[6] N. Hingoran, L. Gyugyi and M. Hawary, “Understanding FACTS: concepts and technology of flexible AC transmission systems”, IEEE press, vol. 1, 2000.
[7] T. Nireekshana, G. Kesava and S. Siva, “Enhancement of ATC with FACTS devices using Real-code genetic algorithm”, Elect. Power Energy Syst., vol. 43, pp. 1276-1284, 2012.
[8] E. Ali and S. AbdElazim, “TCSC damping controller design based on bacteria foraging optimization algorithm for a multi-machine power system”, Elect. Power Energy Syst., vol. 37, pp.23-30, 2012.
[9] R. Sirjani, A. Mohamed and H. Shareef, “Optimal allocation of shunt var compensators in power systems using a novel global harmony search algorithm”, Elect. Power Energy Syst. vol. 43, pp. 562-572, 2012,
[10] D. Mondal, A. Chakrabarti and A. Sengupta, “Optimal placement and parameter setting of SVC and TCSC using PSO to mitigate small signal stability problem”, Electr. Power Energy Syst., vol. 42, pp. 334-340, 2012.
[11] 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. 124-135, 2013.
[12] R. Kazemzadeh, M. Moazen, R. Ajabi-Farshbaf and M. Vatanpour, “STATCOM optimal allocation in transmission grids considering contingency analysis in OPF using BF-PSO algorithm”, J. Oper. Autom. Power Eng., vol. 1, pp. 1-11, 2013.
[13] S. Dutta, P. Roy and D. Nandi, “Optimal location of UPFC controller in transmission network using hybrid chemical reaction optimization algorithm”, Electr. Power Energy Syst., vol. 64, pp. 194-211, 2015.
[14] J. Sarker and S. Goswami, “Solution of multiple UPFC placement problems using gravitational search algorithm”, Electr. Power Energy Syst., vol. 55, pp. 531-541, 2014.
[15] A. Rezaee, “Brainstorm optimization algorithm (BSOA): An efficient algorithm for finding optimal location and setting of FACTS devices in electric power systems”, Electr. Power Energy Syst., vol. 69, pp. 48-57, 2015.
[16] C. Duan, W. Fang, L. Jiang and Sh. Niu, “FACTS devices allocation via sparse optimization”, IEEE Trans. Power Syst., vol. 31. pp. 1308-1319, 2016.
[17] A. Elmitwally, A. Eladl and J. Morrow, “Long-term economic model for allocation of FACTS devices in restructured power systems integrating wind generation”, IET Gener. Tranms. Distrib., vol. 10, pp. 16-30, 2016.
[18] X. Zhang and et. al., “Optimal allocation of series facts devices under high penetration of wind power within a market environment”, IEEE Trans. Power Syst.,vol. 33, pp. 6206-6217, 2018.
[19] X. Zhang, K. Tomsovic and A. Dimitrovski, “Optimal allocation of series FACTS devices in large-scale systems”, IET Gener. Transm. Distrib., vol. 12, pp. 1889-1896, 2018.
[20] K. Sen and M. Sen, “Introduction to FACTS controllers: theory, modeling and applications”, Wiley and IEEE Press, USA, 2009.
[21] M. Eremia, C. Liu and A. Edris, “Advanced solutions in power systems: HVDC, FACTS, and Artificial Intelligence”, IEEE Press and Wiley, USA, 2016.
[22] M. Eremia and M. Sphahidehpour, “Handbook of electrical power system dynamics: modeling, stability and control”, IEEE Press and Wiley, USA, 2013.
[23] J. Gholinezhad, R. Noroozian and A. Bagheri, “Optimal capacitor allocation in radial distribution networks for annual costs minimization using hybrid pso and sequential power loss index based method”, J. Oper. Autom. Power Eng., vol. 5, pp. 51-60, 2017.
[24] R. Eberhart and J. Kennedy, “A new optimizer using particle swarm theory”, Proc. Sixth Int. Symp. Micro Mach. Hum. Sci., Japan, pp. 39-43, 1995.
[25] 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.
[26] M. Clerc and J. Kennedy, “The particle swarm-explosion, stability, and convergence in a multidimensional complex space”, IEEE Trans. Evol. Comput., vol. 6, pp. 58-73, 2002.
[27] A. Nickabadi, M. Ebadzadeh and R. Safabakhsh, “A novel particle swarm optimization algorithm with adaptive inertia weight”, Appl. Soft Comput., vol. 11, pp. 3658-3670, 2011.
[28] Guilan Regional Electric Company at:https://www.gilrec.co.ir.
[29] P. Kundur, “Power system stability and control”, McGraw-Hill Education; 1st edition, 1994. | ||
|
آمار تعداد مشاهده مقاله: 1,589 تعداد دریافت فایل اصل مقاله: 1,801 |
||