Monarch Butterfly Optimization With Greedy Strategy and Self-Adaptive Crossover Operator Algorithm for Capacitor Placement in Radial Distribution Systems
B.Rajasekhar Reddy1, C Hari Prasad2, K Ram Prasad3, Dinakara Prasad Reddy P4
1B.Rajasekhar Reddy, Academic Consultants, Department of EEE, S V University College of Engineering, S V University, Tirupati (Andhra Pradesh), India.
2C Hari Prasad, Academic Consultants, Department of EEE, S V University College of Engineering, S V University, Tirupati (Andhra Pradesh), India.
3K Ram Prasad, Academic Consultants, Department of EEE, S V University College of Engineering, S V University, Tirupati (Andhra Pradesh), India.
4Dinakara Prasad Reddy P, Academic Consultants, Department of EEE, S V University College of Engineering, S V University, Tirupati. (Andhra Pradesh), India. Academic Consultants, Department of EEE, S V University College of Engineering, S V University, Tirupati. (Andhra Pradesh), India.
Manuscript received on 23 March 2019 | Revised Manuscript received on 30 March 2019 | Manuscript published on 30 March 2019 | PP: 1679-1683 | Volume-7 Issue-6, March 2019 | Retrieval Number: E1980017519/19©BEIESP
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Abstract: Monarch butterfly optimization with Greedy Strategy and Self-adaptive Crossover Operator (GCMBO) is used for determination of size of capacitors.By placing capacitors in radial distribution systems voltage profile is improved and the activepower loss is reduced. The capacitor locations can be found by using loss sensitivity method.The proposed two-stage approach determines the optimal capacitor sizes at less number of locations with maximum loss reduction. The results are presented with test system15-bus, 34-bus and 69-bus.
Keywords: Monarch butterfly optimization with Greedy Strategy and Self-adaptive Crossover Operator algorithm, Loss Sensitivity Method.
Scope of the Article: Waveform Optimization for Wireless Power Transfer