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Optimal reactive power dispatch under coordinated active and reactive load variations using FACTS devices

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Abstract

In this paper, a solution is provided for solving optimal reactive power dispatch (ORPD) problem by using flexible alternating current transmission (FACTS) devices. The TLBO method is applied on IEEE 14-, 30- and 57- bus test system with optimal positioning of thyristor-controlled series compensator (TCSC) and static var compensator (SVC). The location for TCSC and SVC has been chosen by performing power flow analysis. The ORPD problem is formulated to minimize both active power loss and operating cost. The main objective of this work is to dispatch optimal reactive power considering various loading conditions. The performance of the proposed method is tested under increased reactive loading and simultaneous increased of both active and reactive loading conditions. The proposed method's performance is evaluated under various operating conditions. The obtained results are compared with some of the recent promising techniques such as KHA, BBO and PSO. The simulation results show the efficacy of the proposed method in achieving the better performance of the system in terms of minimum power loss, minimum operating cost and better convergence rate.

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References

  • Aghaei J, Gitizadeh M, Kaji M (2012) Placement and operation strategy of FACTS devices using optimal continuous power flow. Sci Iranica 19(6):1683–1690

    Article  Google Scholar 

  • Babu R, Raj S, Bhattacharyya B (2020) Weak bus-constrained PMU placement for complete observability of a connected power network considering voltage stability indices. Prot Control Modern Power Syst 5(1):1–14

    Article  Google Scholar 

  • Babu R, Raj S, Dey B, Bhattacharyya B (2021) Modified branch‐and‐bound algorithm for unravelling optimal PMU placement problem for power grid observability: a comparative analysis. CAAI Trans Intell Technol 6(4):450–470. https://doi.org/10.1049/cit2.12038

    Article  Google Scholar 

  • Babu R, Gupta VK, Subbaramaiah K (2021) An approach to unravel the optimal PMU placement problem for full observability of power network in view of contingencies. Int J Syst Assur Eng Manag 13(3):1170–1186. https://doi.org/10.1007/s13198-021-01412-4

    Article  Google Scholar 

  • Bhattacharya A, Chattopadhyay PK (2011) Application of biogeography-based optimisation to solve different optimal power flow problems. IET Gener Transm Distrib 5(1):70–80

    Article  Google Scholar 

  • Bhattacharyya B, Kumar S (2015) Reactive power planning with FACTS devices using gravitational search algorithm. Ain Shams Eng J 6(3):865–871

    Article  Google Scholar 

  • Bhattacharyya B, Kumar S (2016) Loadability enhancement with FACTS devices using gravitational search algorithm. Int J Electr Power Energy Syst 1(78):470–479

    Article  Google Scholar 

  • Bhattacharyya B, Kumar S (2016) Approach for the solution of transmission congestion with multi-type FACTS devices. IET Gener Transm Distrib 10(11):2802–2809

    Article  Google Scholar 

  • Biswas PP, Arora P, Mallipeddi R, Suganthan PN, Panigrahi BK (2021) Optimal placement and sizing of FACTS devices for optimal power flow in a wind power integrated electrical network. Neural Comput Appl 33(12):6753–6774

    Article  Google Scholar 

  • 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(5):1543–1552

    Article  Google Scholar 

  • Duman S, Güvenç U, Sönmez Y, Yörükeren N (2012) Optimal power flow using gravitational search algorithm. Energy Convers Manage 1(59):86–95

    Article  Google Scholar 

  • El-Araby ES, Yorino N (2018) Reactive power reserve management tool for voltage stability enhancement. IET Gener Transm Distrib 12(8):1879–1888

    Article  Google Scholar 

  • Esmaili M, Shayanfar HA, Moslemi R (2014) Locating series FACTS devices for multi-objective congestion management improving voltage and transient stability. Eur J Oper Res 236(2):763–773

    Article  Google Scholar 

  • Gerbex S, Cherkaoui R, Germond AJ (2001) Optimal location of multi-type FACTS devices in a power system by means of genetic algorithms. IEEE Trans Power Syst 16(3):537–544

    Article  Google Scholar 

  • Hassan LH, Moghavvemi M, Almurib HA, Steinmayer O (2013) Application of genetic algorithm in optimization of unified power flow controller parameters and its location in the power system network. Int J Electr Power Energy Syst 1(46):89–97

    Article  Google Scholar 

  • Jordehi AR (2015) Brainstorm optimisation algorithm (BSOA): an efficient algorithm for finding optimal location and setting of FACTS devices in electric power systems. Int J Electr Power Energy Syst 1(69):48–57

    Article  Google Scholar 

  • Kar MK, Kumar S, Singh AK, Panigrahi S (2021) Reactive power management by using a modified differential evolution algorithm. Optim Control Appl Methods. https://doi.org/10.1002/oca.2815

    Article  Google Scholar 

  • Kar MK, Kumar L, Kumar S, Singh AK (2020) Efficient operation of power system with FACTS controllers using evolutionary techniques. In: 2020 7th international conference on signal processing and integrated networks (SPIN) IEEE. pp 962–965

  • Kumar L, Kar MK, Kumar S (2021) Reactive power management by optimal positioning of FACTS controllers using MFO algorithm. In: 2021 Emerging trends in industry 4.0 (ETI 4.0) IEEE. pp 1–6

  • Mohanty B, Tripathy S (2016) A teaching learning based optimization technique for optimal location and size of DG in distribution network. J Electrical Syst Inf Technol 3(1):33–44. https://doi.org/10.1016/j.jesit.2015.11.007

    Article  Google Scholar 

  • Mukherjee A, Mukherjee V (2015) Solution of optimal reactive power dispatch by chaotic krill herd algorithm. IET Gener Transm Distrib 9(15):2351–2362

    Article  Google Scholar 

  • Nagalakshmi S, Kamaraj N (2012) Comparison of computational intelligence algorithms for loadability enhancement of restructured power system with FACTS devices. Swarm Evol Comput 1(5):17–27

    Article  Google Scholar 

  • Nusair K, Alasali F, Hayajneh A, Holderbaum W (2021) Optimal placement of facts devices and power‐flow solutions for a power network system integrated with stochastic renewable energy resources using new metaheuristic optimization techniques. Int J Energy Res 45(13):18786–18809. https://doi.org/10.1002/er.6997

    Article  Google Scholar 

  • Rao RV, Savsani VJ, Vakharia DP (2012) Teaching–learning-based optimization: an optimization method for continuous non-linear large scale problems. Inf Sci 183(1):1–5

    Article  MathSciNet  Google Scholar 

  • Roselyn JP, Devaraj D, Dash SS (2018) Voltage-based reactive power pricing in deregulated environment using hybrid multi-objective particle swarm optimisation. Int J Ambient Energy 39(3):285–296

    Article  Google Scholar 

  • Sarker J, Goswami SK (2014) Solution of multiple UPFC placement problems using gravitational search algorithm. Int J Electr Power Energy Syst 1(55):531–541

    Article  Google Scholar 

  • Shehata AA, Refaat A, Ahmed MK, Korovkin NV (2021) Optimal placement and sizing of FACTS devices based on autonomous groups particle swarm optimization technique. Arch Electrical Eng. https://doi.org/10.24425/aee.2021.136059

    Article  Google Scholar 

  • Singh SP (2016) Congestion mitigation using UPFC. IET Gener Transm Distrib 10(10):2433–2442

    Article  Google Scholar 

  • Taher MA, Kamel S, Jurado F, Ebeed M (2020) Optimal power flow solution incorporating a simplified UPFC model using lightning attachment procedure optimization. Int Trans Electrical Energy Syst 30(1):e12170

    Google Scholar 

  • Wibowo RS, Yorino N, Eghbal M, Zoka Y, Sasaki Y (2011) FACTS devices allocation with control coordination considering congestion relief and voltage stability. IEEE Trans Power Syst 26(4):2302–2310

    Article  Google Scholar 

  • Yousefi A, Nguyen TT, Zareipour H, Malik OP (2012) Congestion management using demand response and FACTS devices. Int J Electr Power Energy Syst 37(1):78–85

    Article  Google Scholar 

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Correspondence to Lalit Kumar.

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Gupta, S.K., Kumar, L., Kar, M.K. et al. Optimal reactive power dispatch under coordinated active and reactive load variations using FACTS devices. Int J Syst Assur Eng Manag 13, 2672–2682 (2022). https://doi.org/10.1007/s13198-022-01736-9

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