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Autonomous smart switching control for off-grid hybrid PV/battery/diesel power system

机译:用于离网混合PV /电池/柴油电力系统的自动智能开关控制

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Operating an off-grid hybrid PV-Battery-Diesel power system requires a robust dispatch strategy to control switching between the different power sources. Most systems are operated in a reactionary manner based on instantaneous demand and available output from the different sources. This may cause output instability and possibly iterations between the components. The situation becomes more difficult when the effect of weather on PV production is taken into consideration. This work proposes three intelligent dispatch algorithms based on current system state, expected weather forecasts, and predicted available power from each source. The three algorithms prioritize different aspects of the system's performance. The algorithms were simulated under varying settings on a model designed using realistic parameters. Results show that each algorithm performs better under different conditions. Leading to a recommendation of implementing an intelligent strategy that creates the most appropriate switching schedule for a given day using predictions from all algorithms based on the weather forecasts and criteria priority.
机译:操作INF-GRID混合PV电池 - 柴油电力系统需要强大的调度策略来控制不同电源之间的切换。大多数系统以基于瞬时需求和不同来源的可用输出以反动方式操作。这可能导致输出不稳定性以及组件之间的迭代。当考虑到天气对光伏生产的影响时,情况变得更加困难。这项工作提出了三种基于当前系统状态的智能调度算法,预期的天气预报,以及来自每个来源的预测可用电力。三种算法优先考虑系统性能的不同方面。在使用现实参数设计的模型上的不同设置下模拟了算法。结果表明,每种算法在不同条件下执行更好。导致实施智能策略的建议,以根据天气预报和标准优先级使用来自所有算法的预测创建最合适的交换时间表。

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