基于控制对象松弛的传动设备过载预防控制在线决策方法

Ye Lin, Jing-Liao Sun, Weilun Ni, Jiabin Zhang, Taibin Zhou
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引用次数: 0

摘要

基于有功功率灵敏度的线性规划模型忽略了电压和网损的影响,预防控制策略难以满足交流潮流后的计算精度要求。提出了一种基于控制对象松弛的输电设备过载预防控制在线决策方法。根据过载安全裕度确定参与控制的关键设备和相应预期故障下的有功功率灵敏度,并将线路和变压器的允许载流能力转化为有功功率限值,建立线性规划模型,用于过载预防控制在线决策。根据预防控制的有功功率精度,将关键设备的有功功率限制放松到多个档位,通过枚举组合形成不同的计算方案,并根据各计算方案的控制成本和校核结果确定在线控制策略。通过聚类分析降低预防控制措施的搜索空间维数,采用并行计算方法分两个阶段求解预防控制策略和静态安全校核,提高了求解效率。通过对实际电网的分析,验证了所提方法的正确性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Online Decision-Making Method for the Overload Preventive Control of Transmission Equipment Based on the Control Objects Relaxation
The linear programming model based on active power sensitivity ignores the influence of voltage and network loss, the preventive control strategy is difficult to meet the calculation accuracy requirements after AC power flow. An online decision-making method for the overload preventive control of transmission equipment based on the control objects relaxation is proposed. According to the overload safety margin to determine the key equipment which participating in the control and the active power sensitivity under the corresponding expected fault, and convert the allowable current carrying capacity of the line and transformer into the active power limit, establish a linear programming model for online decision-making of overload preventive control. According to the active power precision of preventive control, the active power limit of key equipment is relaxed into multiple gears, different calculation schemes are formed through enumeration-combination, and the online control strategy is determined according to the control cost and checking result of each calculation scheme. Reduce the dimension of the search space of preventive control measures by cluster analysis, and use the parallel computing method to solve the preventive control strategy and static safety checking in two stages, which improves the solution efficiency. The correctness and effectiveness of the proposed method are verified through the analysis of the actual power grid.
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