A Novel Hybrid Particle Swarm- Multiverse Optimization based Voltage Stability Improvement in IEEE 57 Bus System

  • Authors

    • P K.Dhal
    • K Ramash Kumar
    2018-04-25
    https://doi.org/10.14419/ijet.v7i2.24.12089
  • STATCOM, voltage stability, PSAT, PSO-MVO Algorithm.
  • Abstract

    The major role of power system is voltage stability. It is required to plan properly and smooth operation and control. It presents a new approach of voltage stability improvement in IEEE 57 bus system using hybrid algorithm. The hybrid algorithm (PSO-MVO) is combination of PSO which is used for exploitation and MVO used for exploration. It is used in an uncertain environment. The FACTS device as STATCOM is connected in IEEE 57 test system to check for event of voltage stability improvement through power system analysis tool (PSAT) software. Once the ability of system goes through sudden loading, its stability gets affected. It desires compensation to boost voltage from disturbances. The varied operative condition while not used STATCOM in the system, used with STATCOM tuned by PSO-MVO algorithm are measured judge the performance of the projected system. The hybrid PSO-MVO technique is implemented in this paper to solve the proposed problem. The simulation results are obtained by PSAT software for 57 IEEE bus systems. The hybrid algorithm validates its effectiveness compare to individual PSO and MVO algorithm.   

     

     

  • References

    1. [1] K.Karthikeyan, P.K.Dhal,‟ Multilevel optimization technique based voltage stability through continuation power flow in IEEE 57 bus’’, Energy Procedia, Elsevier 117(2017), pp.583-591.

      [2] Pradeep Jangir,sidharth A, parmar, indrajit N trivedi, R.H. Bhesdadiya,‟ A novel hybrid particle swarm optimizer with multiverse optimizer for global numerical optimization and optimal reactive power dispatch problem’’, Engineering science and technology an international journal, vol 20. Issue 2, pp.570-586, 2017.

      [3] Anwar S, Siddiqui, Tanmoy Deb,‟ voltage stability improvement using STATCOM and SVC’’, International journal of computer applications, vol.88, no.14, 2014.

      [4] R. benabid, M.Boudour, M.A. Abido,‟ optimal location and setting of SVC and TCSC devices using nondomonated sorting particle swarm optimization’’, Electic power systems research 79, pp.1668-1677, 2009.

      [5] Kessel P, Glavitsch H,‟ Estimating the voltage stability of power systems’’, IEEE Trans power apparatus system, 1986, 1: 346-354.

      [6] Alsac O, scott B,‟ optimal load flow with steady state security’’, IEEE Trans. On power apparatus system 1974, pp.187-202.

      [7] Van Cutsem T, ‟ A method to compute reactive power margin with respect to voltage collapse’’, IEEE Trans. Power system 1991, 6: 145-156.

      [8] Grudinin N,‟ Reactive power optimization using successive quadratic programming method’’, Ieee Trans. Power system 1998, 13: 1219-1225.

      [9] Sagarika, T.R.Jyothsna,‟ Tunning of PSO algorithm for single machine and multi machine power system using STATCOM controller’’, international journal of engineering and technology, vol 2, issue 4, pp.175-182, 2015.

      [10] K.Karthikeyan, P.K.Dhal,‟ Transient stability enhancement by optimal location and tuning of STATCOM using PSO’’, Procedia technology, 2015.

      [11] K. Ramash Kumar, D.Kalyankumar, DR.V.Kirbakaran†An Hybrid Multi level Inverter Based DSTATCOM Control, Majlesi Journal of Electrical Engineering, Vol. 5. No. 2, pp. 17-22, June 2011, ISSN: 0000-0388.

      [12] P. Sivakumar, V. Rajasekaran, K. Ramash Kumar, “Investigation of Intelligent Controllers for Varibale Speeed PFC Buck-Boost Rectifier Fed BLDC Motor Drive,†Journal of Electrical Engineering (Romania), Vol.17, No.4, 2017, pp. 459-471.

      [13] K. Ramash Kumar,â€Implementation of Sliding Mode Controller plus Proportional Integral Controller for Negative Output Elementary Boost Converter,†Alexandria Engineering Journal (Elsevier), 2016, Vol. 55, No. 2, pp. 1429-1445.

      [14] T. Padmapriya and V.Saminadan, “Improving Performance of Downlink LTE-Advanced Networks Using Advanced Networks Using Advanced feedback Mechanisms and SINR Modelâ€, International Conference on Emerging Technology (ICET), vol.7, no.1, pp: 93, March 2014.

      [15] S.V. Manikanthan , T. Padmapriya “An enhanced distributed evolved node-b architecture in 5G tele-communications network†International Journal of Engineering & Technology (UAE), Vol 7 Issues No (2.8) (2018) 248-254.March2018.

      [16] S.V.Manikanthan and K.Baskaran “Low Cost VLSI Design Implementation of Sorting Network for ACSFD in Wireless Sensor Networkâ€, CiiT International Journal of Programmable Device Circuits and Systems,Print: ISSN 0974 – 973X & Online: ISSN 0974 – 9624, Issue : November 2011, PDCS112011008.

  • Downloads

  • How to Cite

    K.Dhal, P., & Ramash Kumar, K. (2018). A Novel Hybrid Particle Swarm- Multiverse Optimization based Voltage Stability Improvement in IEEE 57 Bus System. International Journal of Engineering & Technology, 7(2.24), 381-386. https://doi.org/10.14419/ijet.v7i2.24.12089

    Received date: 2018-04-24

    Accepted date: 2018-04-24

    Published date: 2018-04-25