Các tham số tối ưu của OUPFC và GUPFC dưới biến động năng lượng tái tạo sử dụng các biến thể của thuật toán tìm kiếm cuckoo

Tagliapietra S (2018) The impact of global decarbonization policies and technological improvements on oil and gas producing countries in the Middle East and North Africa. IEMed. Mediterranean Yearbook Nada KH, Alrikabi MA (2014) Renewable energy types. J Clean Energy Technol 2(1):61–64. https://doi.org/10.7763/jocet.2014 Adibi MM (2015) Impact of power system blackouts, v2.92. In: 2015 IEEE power & energy society general meeting, Denver, CO, July 2015. https://www.ieee-pes.org/presentations/gm2015/PESGM2015P-001079.pdf. Accessed 16 July 2020 Atputharajah A, Saha TK (2009) Power system blackouts—literature review. In: 2009 international conference on industrial and information systems (ICIIS), Sri Lanka, pp 460–465. https://doi.org/10.1109/iciinfs.2009.5429818 Pikulski M (2008) Controlled sources of reactive power used for improving voltage stability. Project report, Institute of Energy Technology, Electrical Power Systems and High Voltage Engineering, Aalborg University, June 2008. https://pdfs.semanticscholar.org/5298/b641b1a7ff6eca7b 329be75c59e066bf3aca.pdf. Accessed on 16 July 2020 Roy PK, Ghoshal SP, Thakur SS (2012) Optimal VAR control for improvements in voltage profiles and for real power loss minimization using biogeography based optimization. Int J Electr Power Energy Syst 43(1):830–838. https://doi.org/10.1016/j.ijepes.2012.05.032 Hingorani NG, Gyugyi L (2000) Understanding FACTS: concepts and technology of flexible AC transmission systems. IEEE Press, New York. ISBN 978-0-780-33455-7 Kang T, Yao J, Duong T, Yang S, Zhu X (2017) A hybrid approach for power system security enhancement via optimal installation of flexible AC transmission system (FACTS) devices. Energies 10(9):1305. https://doi.org/10.3390/en10091305 Abido MA (2009) Power system stability enhancement using FACTS controllers: a review. Arab J Sci Eng 34(1B):153–172 Nabavi-Niaki A, Iravani MR (1996) Steady-state and dynamic models of unified power flow controller (UPFC) for power system studies. IEEE Trans Power Syst 11(4):1937–1943. https://doi.org/10.1109/59.544667 Gyugyi L, Sen KK, Schauder CD (1999) The interline power flow controller concept: a new approach to power flow management in transmission systems. IEEE Trans Power Deliv 14(3):1115–1123. https://doi.org/10.1109/61.772382 Ara AL, Kazemi A, NabaviNiaki SA (2011) Modelling of optimal unified power flow controller (OUPFC) for optimal steady-state performance of power systems. Energy Convers Manag 52(2):1325–1333. https://doi.org/10.1016/j.enconman.2010.09.030 Zang XP, Handschin E, Yao M (2001) Modeling of the generalized unified power flow controller (GUPFC) in a nonlinear interior point OPF. IEEE Trans Power Syst 16(3):367–373. https://doi.org/10.1109/59.93227010.1109/59.932270 Kumar A, Srivastava SC, Singh SN (2005) Congestion management in competitive power market: a bibliographical survey. Electr Power Syst Res 76(1):153–164. https://doi.org/10.1016/j.epsr.2005.05.001 Zhang W, Li F, Tolbert LM (2007) Optimal allocation of shunt dynamic VAR source SVC and STATCOM: a survey. In: IET conference publications, pp 507–507. https://doi.org/10.1049/cp:20062251 Kumar GVN, Kumar BS, Rao BV, Chowdary DD (2019) Enhancement of voltage stability using FACTS devices in electrical transmission system with optimal rescheduling of generators by brain storm optimization algorithm. In: Cheng S, Shi Y (eds) Brain storm optimization algorithms. Adaptation, learning, and optimization, vol 23. Springer, Cham. https://doi.org/10.1007/978-3-030-15070-9_11 Dash SP, Subhashini KR, Satapathy JK (2020) Optimal location and parametric settings of FACTS devices based on JAYA blended moth flame optimization for transmission loss minimization in power systems. Microsyst Technol 26:1543–1552. https://doi.org/10.1007/s00542-019-04692-w Hasanvand S, Fallahzadeh-Abarghouei H, Mahboubi-Moghaddam E (2019) Power system security improvement using an OPA model and IPSO algorithm. SIMULATION 96(3):325–335. https://doi.org/10.1177/0037549719886356 Shafik MB et al (2019) Adaptive multi objective parallel seeker optimization algorithm for incorporating TCSC devices into optimal power flow framework. IEEE Access. https://doi.org/10.1109/access.2019.2905266 Naderi E, Pourakbari-Kasmaei M, Abdi H (2019) An efficient particle swarm optimization algorithm to solve optimal power flow problem integrated with FACTS devices. Appl Soft Comput 80:243–262. https://doi.org/10.1016/j.asoc.2019.04.012 Sayed F, Kamel S, Yu J et al (2020) Optimal load shedding of power system including optimal TCSC allocation using moth swarm algorithm. Iran J Sci Technol Trans Electr Eng 44:741–765. https://doi.org/10.1007/s40998-019-00255-x Gope S, Dawn S, Mitra R, Goswami AK, Tiwari PK (2019) Transmission congestion relief with integration of photovoltaic power using lion optimization algorithm. In: Bansal J, Das K, Nagar A, Deep K, Ojha A (eds) Soft computing for problem solving, Advances in intelligent systems and computing, vol 816. Springer, Singapore, pp 327–338. https://doi.org/10.1007/978-981-13-1592-3_25 Ahmad AAL, Sirjani R (2019) Optimal placement and sizing of multi-type FACTS devices in power systems using metaheuristic optimisation techniques: an updated review. Ain Shams Eng J. https://doi.org/10.1016/j.asej.2019.10.013 Bansal RC (2005) Optimization methods for electric power systems: an overview. Int J Emerg Electr Power Syst. Article 1021. https://doi.org/10.2202/1553-779x.1021 Fister I Jr, Fister D, Fister I (2013) A comprehensive review of cuckoo search: variants and hybrids. Int J Math Model Numer Optim 4(4):387–409. https://doi.org/10.1504/IJMMNO.2013.059205 Nguyen KP, Fujita G, Dieu VN (2015) Optimal placement and sizing of static VAR compensator using Cuckoo search algorithm. In: 2015 IEEE congress on evolutionary computation (CEC). https://doi.org/10.1109/cec.2015.7256901 Nguyen KP, Fujita G, Dieu VN (2016) Cuckoo search algorithm for optimal placement and sizing of static var compensator in large-scale power systems. JAISCR 6(2):59–68. https://doi.org/10.1515/jaiscr-2016-0006 Balasubbareddy M, Sivanagaraju S, Suresh CV (2015) Multi-objective optimization in the presence of practical constraints using non–dominated sorting hybrid cuckoo search algorithm. Eng Sci Technol Int J 18(4):603–615. https://doi.org/10.1016/j.jestch.2015.04.005 Dash P, Saikia LC, Sinha N (2015) Comparison of performances of several FACTS devices using Cuckoo search algorithm optimized 2DOF controllers in multi–area AGC. Electr Power Energy Syst 65:316–324. https://doi.org/10.1016/j.ijepes.2014.10.015 Abd Elazim SM, Ali ES (2016) Optimal power system stabilizers design via cuckoo search algorithm. Electr Power Energy Syst 75:99–107. https://doi.org/10.1016/j.ijepes.2015.08.018 Abd-Elazim SM, Ali ES (2016) Optimal location of STATCOM in multimachine power system for increasing loadability by Cuckoo Search algorithm. Electr Power Energy Syst 80:240–251. https://doi.org/10.1016/j.ijepes.2016.01.023 Kumar D, Gupta V, Jha RC (2016) Implementation of FACTS devices for improvement of voltage stability using evolutionary algorithm. In: 2016 IEEE 1st international conference on power electronics, intelligent control and energy systems (ICPEICES), pp 1–6. https://doi.org/10.1109/icpeices.2016.7853354 Rao B, Kumar GV, Sravana Kumar B, Naidu K (2017) Cuckoo search algorithm based optimal tuning of thyristor controlled series capacitor to enhance the line based voltage stability. Adv Sci Technol Lett 147:104–109. https://doi.org/10.14257/astl.2017.147.16 Venkateswara Rao B, Venkata Nagesh Kumar G (2017) Optimal parameter setting of UPFC and real power generation cost minimization using Cuckoo Search Algorithm. Int Electr Eng J 7(11):2440–2445 Sen D, Acharjee P (2017) Optimal placement of UPFC based on technoeconomic criteria by hybrid CSA–CRO algorithm. In: 2017 IEEE PES Asia-Pacific power and energy engineering conference (APPEEC), pp 1–6. https://doi.org/10.1109/appeec.2017.8308909 Gaur D, Mathew L (2018) Optimal placement of FACTS devices using optimization techniques: a review. IOP conference series: materials science and engineering 331(012023):1–16. https://doi.org/10.1088/1757-899X/331/1/012023 Moghavvemi M, Omar FM (1998) Technique for contingency monitoring and voltage collapse prediction. In: IEE proceedings—generation, transmission and distribution, vol 145, no 6, pp 634–640. https://doi.org/10.1049/ip-gtd:19982355 Mareli M, Twala B (2017) An adaptive Cuckoo search algorithm for optimization. Appl Comput Inf 14(2):107–115. https://doi.org/10.1016/j.aci.2017.09.001 Khokhar B, Parmar KS, Dahiya S (2012) An efficient particle swarm optimization with time varying acceleration coefficients to solve economic dispatch problem with valve point loading. Energy Power 2(4):74–80. https://doi.org/10.5923/j.ep.20120204.06 Adepoju GA, Komolafe OA (2011) Analysis and modelling of static synchronous compensator (STATCOM): a comparison of power injection and current injection models in power flow study. Int J Adv Sci Technol 36(2):65–76 Son KM, Lasseter RH (2004) A Newton–type current injection model of UPFC for studying low–frequency oscillations. IEEE Trans Power Deliv 19(2):694–701. https://doi.org/10.1109/TPWRD.2003.822543 Vural AM, Tumay M (2007) Mathematical modeling and analysis of a unified power flow controller: a comparison of two approaches in power flow studies and effects of UPFC location. Int J Electr Power Energy Syst 29(8):617–629. https://doi.org/10.1016/j.ijepes.2006.09.005 Lubis RS, Hadi SP, Tumiran (2011) Modeling of the generalized unified power flow controller for optimal power flow. In: Proceedings of international conference on electrical engineering and informatics (ICEEI), Bandung, Indonesia, pp 4577–0752, 17th–19th July, 2011. https://doi.org/10.1109/iceei.2011.6021763 Vyakaranam B, Villaseca FE (2014) Dynamic modeling and analysis of generalized unified power flow controller. J Electr Power Syst Res 106(5):1–11. https://doi.org/10.1016/j.epsr.2013.07.010 Yang XS (2014) Nature-inspired optimization algorithms, 1st edn. Elsevier, London, p 3. https://doi.org/10.1016/B978-0-12-416743-8.00017-8 Civicioglu P, Besdok E (2013) A conceptual comparison of the Cuckoo-search, particle swarm optimization, differential evolution and artificial bee colony algorithms. Artif Intell Rev 39(4):315–346. https://doi.org/10.1007/s10462-011-9276-0 Zheng H, Zhou Y (2012) A novel cuckoo search algorithm based on Gauss distribution. J Comput Inf Syst 8(10):4193–4200 Zaw MM, Mon EE (2014) Web document clustering using Gauss distribution based cuckoo search clustering algorithm. Int J Sci Eng Technol Res 3(13):2945–2949 Ho SD, Vo VS, Le TM, Nguyen TT (2014) Economic emission load dispatch with multiple fuel optings using cuckoo search algorithm with Gaussian and Cauchy distributions. Int J Energy Inf Commun 5(5):39–54. https://doi.org/10.14257/ijeic.2014.5.5.04 Nguyen TT, Vo DN, Dinh BH (2016) Cuckoo search algorithm using different distributions for short term hydrothermal scheduling with reservoir volume constraint. Int J Electr Eng Inf 8(1):76–92. https://doi.org/10.15676/ijeei.2016.8.1.6 Roy S, Mallick A, Chowdhury SS, Roy S (2015) A novel approach on cuckoo search algorithm using Gamma distribution. In: Second international conference on electronics and communication systems (ICECS), Coimbatore, pp 466–468. https://doi.org/10.1109/ecs.2015.7124948 Tusiy SI, Shawkat N, Ahmed MA, Panday B, Sakib N (2015) Comparative analysis on improved Cuckoo search algorithm and artificial bee colony algorithm on continuos optimization problems. Int J Adv Res Artif Intell 4(2):14–19. https://doi.org/10.14569/IJARAI.2015.040203 Tuba M, Subotic M, Stanarevic N (2011) Modified Cucko search algorithm for unconstrained optimization problems. In: Proceedings of the European computing conference Zimmerman RD, Murillo-Sanchez CE, Thomas RJ (2011) MATPOWER: steady–state operations, planning and analysis tools for power system research and education. IEEE Trans Power Syst 26(1):12–19 Achayuthakan, C, Ongsakul W (2009) TVAC–PSO based optimal reactive power dispatch for reactive power cost allocation under deregulated environment, In: IEEE conference on power & energy society general meeting, pp 26–30, July 2009. https://doi.org/10.1109/pes.2009.5275294 Wolpert DH, Macready WG (1997) No free lunch theorems for optimization. IEEE Trans Evolut Comput 1(1):67–82. https://doi.org/10.1109/4235.585893