Multi-objective Optimal Power Flow Using Improved Multi-objective Multi-verse Algorithm

  • Muhammad Abdullah
  • Nadeem JavaidEmail author
  • Annas Chand
  • Zain Ahmad Khan
  • Muhammad Waqas
  • Zeeshan Abbas
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 927)


This study proposes an improved multi-objective multi-verse optimization (IMOMVO) algorithm for solving multi-objective optimal power flow (MOOPF) problem with uncertain renewable energy sources (RESs). Cross and self-pollination steps of flower pollination algorithm (FPA) along with crowding distance and non-dominating sorting approach is incorporated with the basic MOMVO algorithm to further enhance the exploration, exploitation and for well-distributed Pareto-optimal solution. To confirm the effectiveness of the proposed IMOMVO algorithm, modified IEEE 30-bus system with security constraints is utilized by considering the total generation cost and active power loss minimization. The simulation results obtained with IMOMVO is compared with MOMVO, NSGA-II, and MOPSO, which reveals the capability of the proposed IMOMVO in terms of solution optimality and distribution.


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Muhammad Abdullah
    • 1
  • Nadeem Javaid
    • 1
    Email author
  • Annas Chand
    • 2
  • Zain Ahmad Khan
    • 2
  • Muhammad Waqas
    • 1
  • Zeeshan Abbas
    • 1
  1. 1.COMSATS University IslamabadIslamabadPakistan
  2. 2.COMSATS University IslamabadAbbottabadPakistan

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