论文标题
使用数据驱动的逻辑回归对岛电源系统的限制频率限制了UC
Robust Frequency Constrained UC Using Data Driven Logistic Regression for Island Power Systems
论文作者
论文摘要
在当前的短期功率调度实践中，在线功率储备用于解决一代不匹配和突发事件。在计划过程中，均未考虑在线惯性和犯罪单元的速度。随着不确定可再生能源的注入越来越多，这种做法开始缩短，尤其是在岛电力系统中，在岛电力系统中，主要频率响应已经很少，任何意外事件都会导致潜在的频率响应。本文介绍了数据驱动的线性约束，以提高岛屿电力系统中的过失后频率质量。通过模拟单一中断的系统频率响应，获得了连贯的初始数据集。然后，逻辑回归被用作预测分析程序，以区分可接受和不可接受的事件。为了将常规方法与建议的方法进行比较，并处理可再生能源产生的不确定性质，使用了自适应的健壮单位承诺公式。 La Palma岛电力系统的结果表明，根据逻辑回归估算所选的切点，所提出的方法可以改善系统的频率响应质量，同时降低操作成本。
In the current practice of short-term power scheduling, online power reserves are used to address generation mismatches and contingencies. Neither online inertia nor the speed of the committed units is considered in the scheduling process. With the increasing injection of uncertain renewable energy sources, this practice is starting to fall short especially in island power systems, where the primary frequency response is already scarce, and any contingency leads to potentially poor frequency response. This paper introduces a data driven linear constraint to improve the post-fault frequency quality in island power systems. A coherent initial data-set is obtained by simulating the system frequency response of single outages. Then logistic regression is employed as a predictive analytic procedure to differentiate the acceptable and unacceptable incidents. To compare the conventional methods with the proposed approach and also to handle the uncertain nature of renewable energy generation, an adaptive robust unit commitment formulation is utilized. Results for the island power system of La Palma show that depending on the chosen cut-point on the logistic regression estimation the proposed method can improve the frequency response quality of the system while reducing the operation costs.
