提出一种基于负荷不确定性电网的电压稳定性评价方法。
A novel voltage stability assessment method considering load uncertainty is proposed.
未来时间机组可用率和预测负荷不确定性等因素导致电价是一个随机变量，因此，从概率角度考察电力市场中的电价分布规律是合理、必要的。
It is reasonable and necessary to acquire the rational price distribution pattern, because the price is a random variable due to the uncertainty of load forecast in the future.
结果表明在南极地区，目前的海潮模型存在较大的不确定性，还不足以精密确定该区域的海潮负荷改正。
The final results indicate that all the present ocean co tidal models are too uncertain to determine accurately the oceanic correction in the Antarctic region.
影响负荷预测准确性的最主要因素是原始数据的不确定性。
The main factor influencing the accuracy of load forecasting is the uncertainty of original data.
其中除计及了节点注入功率不确定性、沿线事故发生地点的不确定性以及事故清除时间的不确定性外，还计及了负荷模型的不确定性。
In addition to considering the uncertainties of load forecasting at each node, the fault occurrence location and the fault-clearing time, the uncertainty of load model is also taken into account.
针对负荷影响因素的复杂性和不确定性，结合模糊数学和线性回归模型，讨论应用模糊线性回归模型预测负荷的变化区间。
For the complexity and uncertainty of load, a fuzzy linear regression model combining fuzzy mathematics with linear regression model is used to forecast the variation sections of load.
安全域的数学描述使注入功率不确定性和电动机负荷比例不确定性的计及变得简便。
The practical mathematic description of dynamic security region makes it easy to take account of the uncertainties of power injections and motor loads proportion.
通过对改进的IEEE - RBTS可靠性测试系统的计算，分析了节点负荷相关性和不确定性对电网可靠性的影响，从而验证该方法的正确性。
Improved through the IEEE-RBTS reliability test system, calculated the node load correlation and uncertainties related to the reliability of the grid, and verified the correctness of the model.
考虑到电力负荷预测问题中存在的不确定性，采用模糊推理预测方法进行负荷预测的研究。
Because of the existence of the indefinite factors in power load forecasting, a new load forecasting model - the fuzzy inference forecasting is presented.
算例分析表明，应用粗集理论解决数据不确定性影响下的电力负荷预测是可行的。
On the basis of practical examples and by use of rough set theory, a complete procedure of power load forecasting includin…
算例分析表明，应用粗集理论解决数据不确定性影响下的电力负荷预测是可行的。
The analysis of the calculation examples shows that it is feasible to forecast the power load under the effect of data uncertainty by rough set theory.
应用多场景概率的方法，将风电场的输出功率和在电网规划中涉及到的负荷变化、经济等不确定性因素，以场景分析和概率计算的方式加以描述。
Based on the multi - scenario probability method, the uncertain factors, such as wind farm power output, load change and economy, are described by scenario analysis and probability calculation.
应用多场景概率的方法，将风电场的输出功率和在电网规划中涉及到的负荷变化、经济等不确定性因素，以场景分析和概率计算的方式加以描述。
Based on the multi - scenario probability method, the uncertain factors, such as wind farm power output, load change and economy, are described by scenario analysis and probability calculation.
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