Solving the Optimal Reactive Power Dispatch Problem Based on Moth-Flame Optimizer for Power System Operation and Planning
作者： Zuriani Mustaffa , Mohd Herwan Sulaiman , Rebecca Ng Shin Mei , Hamdan Daniyal , Muhammad Ikram Mohd Rashid
DOI: 10.1109/SNPD.2018.8441146
关键词:
摘要: The power system is a complex network which expected to operate with consumption of minimal resources giving the maximum security and reliability. optimal flow (OPF) problem an important tool help operator achieve these goals by providing setting all control variables. Due its significant influence on economic operation systems, one OPF problems namely reactive dispatch (ORPD), has received ever-increasing interest from electric utilities. This paper proposes recent nature inspired algorithm called moth-flame optimizer (MFO) solve ORPD problem. MFO utilized find best combination variables such as real generation be generated, generator voltages, tap changing transformers' ratios size compensation devices so that total minimum loss in can obtained. effectiveness tested IEEE-30 bus 25 comparison other algorithms grey wolf (GWO), ant-lion (ALO) multi-verse (MVO) also will presented this paper.
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