体育赛事投注记录

advertisement

Reactive Power Optimization Approach Based on Chaotic Particle Swarm Optimization

  • Fengqiang LiEmail author
  • Lianjun Song
  • Bo Cong
Conference paper
  • 60 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1141)

Abstract

体育赛事投注记录reactive optimization is an important measure to ensure the reliable operation of the system. in view of the characteristics of reactive optimization of power grid, a method of reactive optimization of the distribution network based on the combination of local voltage stability index partition and improved particle group algorithm is proposed. first, the local voltage stabilization index of the system load node is calculated, the load node is sorted according to the size of the voltage stabilization index, the load node is selected as the collection of candidate compensation points and the electrical distance is combined with the electrical distance to partition it, and then, the system’s optimal compensation point position and reactive compensation amount are obtained by improving the particle group algorithm. the method combined with the local voltage stabilization index and the electrical distance can narrow the range of the search, obtain the reasonable and effective candidate compensation area, improve the particle group algorithm to initialize particle diversity is better, with faster convergence speed.

Keywords

Reactive power compensation Electrical power system Particle swarm optimization 

References

  1. 1.
    Wang, C.: The managing and scheduling system for the disaster rescue equipment of PAP based on the internet of things. Int. J. Internet Things Big Data 1(1), 21–28 (2016)
  2. 2.
    Sharma, P.: Prediction of heart disease using 2-tier SVM data mining algorithm. Int. J. Adv. Res. Big Data Manag. Syst. 1(1), 11–24 (2017)
  3. 3.
    Kong, W.: Analyzing the usage of data mining in spatial database. Int. J. Internet Things Appl. 1(1), 1–12 (2017)
  4. 4.
    Park, S.B., Kang, S.G., Lee, S.W.: Analysis of dissolution and sterilization effect of water-soluble Na2O-ZnO-SiO2 glass system for anti-marine biofouling application. Int. J. Bio-Sci. Bio-Technol. 9(5), 25–30 (2017)
  5. 5.
    Park, J.S., Lee, S.H., Kim, Y.S.: The impact of HR capability on performance: the roles of Internal firm resources. Int. J. Transp. Logist. Manag. 2(1), 1–6 (2018)
  6. 6.
    Woo, N.S., Kim, H.J., Han, S.M., Lee, W.D., Huh, S.S., Kim, Y.J.: The design optimization of subsea separator for gas-liquid mixed flow in subsea oil-well. Asia-Pac. J. Model. Simul. Mech. Syst. Des. Anal. 1(1), 35–40 (2016)
  7. 7.
    Wei, F., Wang, G., Ren, B.Y.: A new feature evaluation and weighting method using three measurement hybrid model and its application to fault diagnosis of rolling element bearing. Asia-Pac. J. Model. Simul. Mech. Syst. Des. Anal. 2(1), 39–46 (2017)
  8. 8.
    Kang, Y.D., He, Q., Yang, X.H., Huo, W., Yang, F., Mamtimin, A., Zhou, C.S.: Based on the earth’s surface layer dust flux field observation and study on collection efficiency. Asia-Pac. J. Model. Simul. Mech. Syst. Des. Anal. 2(1), 71–80 (2017)
  9. 9.
    Mirzal, A.: Delay compensation using the Smith predictor: a brief review with numerical examples. Int. J. Comput.-Aided Mech. Des. Implement. 3(1), 1–10 (2017)
  10. 10.
    Iseman, Y.: Self-driving car—a computer will park for you. Int. J. Eng. Technol. Automob. Secur. 1(1), 9–16 (2017)
  11. 11.
    Yang, Y.G.: Pedestrian navigation system using low cost AHRS for the visually impaired. Int. J. Comput. Graph. 8(2), 7–11 (2017)
  12. 12.
    Bshwah, V.S., Tomar, G.S., Badauria, S.S.: Performance comparison of microstrip band-pass filters for different dielectric materials. Asia-Pac. J. Adv. Res. Electr. Electron. Eng. 1(1), 31–40 (2017)
  13. 13.
    Gururani, H., Arya, R.: Review on low voltage and high speed dynamic comparator. Int. J. Energy Technol. Manag. 1(1), 15–22 (2017)

Copyright information

© Springer Nature Singapore Pte Ltd. 2021

Authors and Affiliations

  1. 1.Department of MarkingState Grid Liaoning Electric Power Supply Co. Ltd.ShenyangChina

Personalised recommendations