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基于风光储互补的油田微电网供电可靠性优化

Reliability Optimization of Oilfield Microgrid Power Supply Based on Complementary Wind Solar Energy Storage

  • 摘要: 为推进可再生能源安全高效地接入油田电网,提出了一种基于风光储互补的并网型油田微电网供电可靠性优化方案。首先,根据微电网中各能量单元的供需关系,搭建面向油田的并网型微电网架构。其次,由于风光功率的不确定性,对短期光伏和风电功率进行预测,利用灰狼算法对并网型微电网进行优化调度。最后,算例分析结果表明,相较于传统的油田供电系统,含风光发电的油田微电网经优化后展现出了良好的供电可靠性。

     

    Abstract: To promote the safe and efficient integration of renewable energy into oilfield power grids, an optimization plan for the reliability of grid-connected oilfield microgrid power supply based on wind-solar-storage complementary systems is proposed. Firstly, based on the supply and demand relationship of each energy unit in the microgrid, build the architecture of a grid connected microgrid for oil fields. Secondly, due to the uncertainty of wind and solar power, this article predicts short-term photovoltaic and wind power, and uses the grey wolf algorithm to optimize the scheduling of grid connected microgrids. Finally, the analysis results of the case study show that compared to traditional oilfield power supply systems, the optimized microgrid containing wind and solar power generation exhibits good power supply reliability.

     

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