Genetic Algorithm based service restoration in distribution systems with multiple DGs for time varying loads
| Autor: | R. Chidanandappa, Ranjith H C, T. Ananthapadmanabha |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Mathematical optimization
Service (systems architecture) Engineering Operations research business.industry 020209 energy Aggregate (data warehouse) Control reconfiguration Service restoration 02 engineering and technology Power (physics) Work (electrical) Genetic algorithm 0202 electrical engineering electronic engineering information engineering business Voltage |
| Zdroj: | 2016 Biennial International Conference on Power and Energy Systems: Towards Sustainable Energy (PESTSE). |
| DOI: | 10.1109/pestse.2016.7516436 |
| Popis: | This work intends to foresee an optimum restoration plan for power distribution network with numerous DGs through system reconfiguration. The destinations, for example, minimizing the out of service area, diminishing the quantity of switching operations, lessening the aggregate system losses alongside imperatives, for example, radial system structure, voltage and current points of confinement are considered while taking care of the restoration issue. Rowlett wheel choice procedure and elitism is utilized as a part of Genetic Algorithm which gave better enhancement results. An effective calculation is created which predicts appropriate restoration arrangement for conveyance framework arranged or spontaneous blackouts. Genetic algorithm is utilized to settle multi-goal and multi obliged enhancement issue. |
| Databáze: | OpenAIRE |
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