1. A fuzzified Pareto multiobjective cuckoo search algorithm for power losses minimization incorporating SVC.
- Author
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Nartu, Tejeswara Rao, Matta, Mani Sankar, Koratana, Sravani, and Bodda, Ravi Kumar
- Subjects
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STATIC VAR compensators , *FUZZY logic , *REACTIVE power , *CUCKOOS , *ELECTRIC lines , *TEST systems , *TABU search algorithm - Abstract
This paper presents an application of multiobjective cuckoo search (MOCS) algorithm for reduction in transmission line losses by placing static VAR compensator (SVC) at an optimal location. MOCS algorithm is an extension of the infamous cuckoo search algorithm. The multiobjective optimizations considered in this paper include active power loss and reactive power loss, active power loss and investment cost of SVC. The Pareto-optimal solution which is obtained by using the Pareto-optimal method gives the solution to the multiobjective problem. The fuzzy logic approach is used to obtain best trade-off solutions from the Pareto-optimal solution. A standard IEEE 30 bus test system is considered for testing the efficacy of the proposed methodology. The results show that installation of SVC and application of MOCS algorithm is effective in power loss reduction. [ABSTRACT FROM AUTHOR]
- Published
- 2019
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