基于风险控制的PSCOPF改进模型及交替迭代算法

发布时间：2019-04-29 18:47

【摘要】：计算效率低和计算结果过于保守是困扰传统预防性安全约束最优潮流(PSCOPF)应用的2个关键难题。针对这些问题,提出一种新的具有可控风险度的改进模型及交替迭代算法。根据电力系统实际运行控制存在偏差的特点,在发电机有功和无功源电压等变量的基础上引入偏差量;以偏差量的平方和最小作为综合风险指标,构造电压互补约束,将原始大规模PSCOPF问题分解为故障数较少的PSCOPF和约束潮流2个子问题。子问题之间采用交替迭代的方式计算,获得不可控故障集和可控故障集,进而得到整个问题的解。IEEE 118、300节点标准系统和某703节点、241个预想故障实际系统的测试结果表明,所提模型及算法在不降低系统安全性的前提下具有良好的经济性和较高的计算效率;与传统模型的集中式计算方法相比,其占用内存可减少80%,串行和并行加速效果分别在5倍和10倍以上。
[Abstract]:Low computational efficiency and conservative results are two key problems in the application of traditional preventive safety constrained optimal power flow (PSCOPF). In order to solve these problems, an improved model with controllable risk degree and alternating iterative algorithm are proposed. According to the characteristic of deviation in actual operation control of power system, the deviation quantity is introduced on the basis of generator active power and reactive power source voltage etc. Taking the sum of squares of the deviation as a comprehensive risk index, a voltage complementary constraint is constructed, and the original large-scale PSCOPF problem is decomposed into two sub-problems: the PSCOPF with fewer faults and the constrained power flow. The uncontrollable failure set and controllable fault set are obtained by alternating iteration among sub-problems, and the solution of the whole problem is obtained. The test results of IEEE 118300-node standard system and a 703-node practical system show that the proposed system has an uncontrollable fault set and a set of controllable faults. The proposed model and algorithm have good economy and high computing efficiency without reducing the security of the system. Compared with the traditional centralized computing method, the memory consumption can be reduced by 80%, and the effect of serial and parallel acceleration is 5 times and 10 times respectively.
【作者单位】：广西大学广西电力系统最优化与节能技术重点实验室;
【基金】：国家重点基础研究发展计划(973计划)资助项目(20-13CB228205) 国家自然科学基金资助项目(51167001)~~
【分类号】：TM744

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