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首页> 外文会议>2015 5th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies >Entropy theory based weather risk source quantified model for power grid dispatching
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Entropy theory based weather risk source quantified model for power grid dispatching

机译：基于熵理论的电网调度天气风险源量化模型

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摘要

Weather is one of the main risk factor in power grid dispatching operation and this paper studies how to identify and establish a model of weather risk sources during power system dispatching operation for smart grid. A qualified weather risk sources model, which can comprehensively reflect temperature, wind speed, visibility, rainfall, relative humidity, thunder and lightning harm degree these six meteorological factors, is established; information entropy theory has been introduced to weigh the comprehensive impact of these six meteorological factors in real-time objectively and quantitatively; linear penalty function has been used in amending meteorological entropy value to define comprehensive meteorological factors, which can quantify the influence weather risk sources have on dispatching operation. Finally, the model's validity is verified based on the practical calculation of Guangzhou City, the result showing the model can reflect the actual weather situation of the devices in the being operated area and accurately assess the potential risk which multiple meteorological factors have on power grid dispatching operation. Through the joint between the model and numerical weather prediction, automation level of risk sources identification in power grid dispatching operation is enhanced greatly. So far, the model has been put in use in Guangdong Power Grid.
机译：天气是电网调度运行中的主要风险因素之一，本文研究如何在智能电网的电力系统调度运行中识别和建立天气风险源模型。建立了一个可以全面反映温度，风速，能见度，降雨量，相对湿度，雷电和雷电危害程度这六个气象因素的合格天气风险源模型；引入信息熵理论来客观，定量地权衡这六个气象因素的综合影响。线性罚函数已被用于修正气象熵值，以定义综合的气象因素，从而可以量化天气风险源对调度操作的影响。最后，通过对广州市的实际计算，验证了该模型的有效性，结果表明该模型能够反映运行区域内设备的实际天气情况，并准确评估多种气象因素对电网调度的潜在风险。操作。通过模型与数值天气预报的结合，大大提高了电网调度作业中危险源识别的自动化水平。到目前为止，该模型已在广东电网投入使用。

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