ew 22(40): e4

Research Article

Adaptive FPA Algorithm based OPF with Unified Power Flow Controller

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  • @ARTICLE{10.4108/ew.v9i40.150,
        author={Immanuel A. and Challa Babu and Sudheer P. and Pavan Kumar Naidu R. and Nageswara Rao Atyam},
        title={Adaptive FPA Algorithm based OPF with Unified Power Flow Controller},
        journal={EAI Endorsed Transactions on Energy Web},
        volume={9},
        number={40},
        publisher={EAI},
        journal_a={EW},
        year={2022},
        month={10},
        keywords={OPF, Adaptive FPA, Fuzzy, FACTS, UPFC},
        doi={10.4108/ew.v9i40.150}
    }
    
  • Immanuel A.
    Challa Babu
    Sudheer P.
    Pavan Kumar Naidu R.
    Nageswara Rao Atyam
    Year: 2022
    Adaptive FPA Algorithm based OPF with Unified Power Flow Controller
    EW
    EAI
    DOI: 10.4108/ew.v9i40.150
Immanuel A.1,*, Challa Babu2, Sudheer P.3, Pavan Kumar Naidu R.4, Nageswara Rao Atyam5
  • 1: Audisankara College of Engineering & Technology, India
  • 2: Siddartha Institute of Science and Technology, India
  • 3: Sreenivasa Institute of Technology and Management Studies, India
  • 4: Sasi Institute of Technology and Engineering, India
  • 5: Presidency University, Bangalore, India
*Contact email: immanuel.acet@gmail.com

Abstract

In this work a novel modified flower pollination algorithm has been developed to solve the problem of single and multi-objective Optimal Power Flow operations for Unified power Flow Controller in Flexible Alternating Current Transmission Systems. In the proposed Adaptive Flower Pollination Algorithm the best initial solution can be chosen from the fittest and also the weights are adaptively adjusted to get better convergence characteristics. The nature of the objective functions is non-linear and difficult to get best possible solutions within the boundary conditions of total power demand. The weak nodes are determined in the system to locate the UPFC with Fuzzy approach considering input parameters as L-Index and voltage magnitudes. The projected method is validated using IEEE-30 and IEEE-57 bus systems for three objective functions, namely, system real power loss minimization, fuel cost minimization and the combination of total generating cost and system real power loss. Results of Fuzzy- Adaptive Flower Pollination Algorithm based OPF optimization for UPFC produced optimum results for the considered objectives of total fuel cost, real power loss and for the multiobjective.