期刊
IEEE TRANSACTIONS ON POWER DELIVERY
卷 36, 期 4, 页码 1964-1973出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TPWRD.2020.3017376
关键词
Wires; Conductors; Power transmission lines; Mathematical model; Capacitance; Inductors; Poles and towers; Energy harvesting; genetic algorithms; optimization; power tap
资金
- CAPES [001]
- CNPq
- FAPESP [2017/20010-1, 2015/26096-0]
This paper presents a mathematical model solved with genetic algorithm to design a collector system with optimized induced voltage and minimized project cost for a non-conventional distributed generation system. The trade-off between objectives and the Pareto optimal solutions were evidenced through several simulations.
An electric potential appears at floating wires located within a strong electric field. This phenomenon can be used to supply small isolated communities situated close to Extra-High Voltage transmission lines. This non-conventional distributed generation system has been studied for the last years. However, to improve the power generation system the optimal position of the floating wires, number of wires used, bundle radius, and type of wires must be properly identified. This paper presents a mathematical model solved with genetic algorithm to design a collector system with optimized induced voltage and minimized project cost, identifying the optimal reactor used for voltage regulation. The algorithm was applied to design a collector system that can tap-off 100 kW from a 230 kV transmission line. The trade-off between objectives and the Pareto optimal solutions were evidenced via several simulations using the weighting sum approach. These results allowed to identify a final geometry according to a-posteriori designer preferences.
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