定时限保护定值优化及其在在线整定中的应用研究
发布时间：2018-11-06 11:40
【摘要】：近年来，随着电网规模的快速发展和运行方式的日益复杂，传统的逐级配合的继电保护离线整定计算方法在定值性能方面存在的问题日益突出，急需找到解决途径。如果能够从整体性能最优出发安排定值，将整定计算作为优化问题进行考虑，并根据电网的实时运行状态调整性能存在问题的定值，则可以大大提高继电保护定值的性能。针对以上问题，本文对定时限保护定值优化及其在在线整定系统中的应用进行了研究，主要内容如下： 对继电保护定值全局优化问题的研究现状进行了综述研究。从反时限保护定值优化、混合保护定值优化、定时限保护定值优化三个方面对现有优化模型进行归纳总结；对优化算法则分常规优化算法和人工智能优化算法两个方面进行探讨。在此基础上，对定值优化领域有待解决的问题进行了展望，为本文后续的研究奠定了理论基础。 将风险理论引入定值优化问题研究，提出了基于风险指标的定时限保护定值全局优化方法。综合考虑电网的不确定因素以及线路故障造成的严重性后果，定义“继电保护广义动作时间”作为风险指标，以运行风险最小为目标进行优化建模。采用遗传算法对所建模型进行仿真，结果表明该模型得到的定值优化结果可以有效地降低运行风险，提高继电保护的定值性能，有利于电网的安全可靠运行。 最后讨论了定时限保护定值优化在在线整定中的应用问题。对继电保护在线校核/整定一体化系统的基本结构进行了概述，在此基础上，提出了计及上级限定值的定值在线优化方法。该方法采用同心松弛搜索算法快速确定定值优化范围，计及上级限定值建立定值在线优化模型，并采用遗传算法进行定值局部寻优，实现了定值的快速在线优化。
[Abstract]:In recent years, with the rapid development of power network scale and the increasing complexity of operation mode, the traditional off-line setting calculation method of relay protection with step by step cooperation has become more and more serious in setting performance, so it is urgent to find a way to solve it. If the setting value can be arranged according to the overall optimal performance, the setting calculation can be considered as an optimization problem, and the fixed value of the performance problem can be adjusted according to the real-time operation state of the power network, the performance of the relay protection setting can be greatly improved. Aiming at the above problems, this paper studies the timing and limit protection setting optimization and its application in the on-line setting system. The main contents are as follows: the research status of the relay protection setting global optimization problem is summarized and studied. The existing optimization models are summarized from three aspects: the optimization of setting value of inverse time-limited protection, the optimization of setting value of mixed protection and the optimization of setting value of time-limited protection. The optimization algorithm is divided into two aspects: conventional optimization algorithm and artificial intelligence optimization algorithm. On this basis, the problems to be solved in the field of fixed value optimization are prospected, which lays a theoretical foundation for further research in this paper. In this paper, the risk theory is introduced into the problem of fixed value optimization, and a global optimization method of fixed value with time-limited protection based on risk index is proposed. Considering the uncertain factors of power network and the serious consequences caused by line faults, the generalized operation time of relay protection is defined as the risk index, and the optimal modeling is carried out with the aim of minimum operational risk. The genetic algorithm is used to simulate the model. The results show that the optimization result can effectively reduce the operational risk, improve the performance of relay protection, and is conducive to the safe and reliable operation of the power network. Finally, the application of timing protection optimization in online setting is discussed. In this paper, the basic structure of the integrated system of on-line checking and setting of relay protection is summarized. On the basis of this, a method of on-line optimization of fixed value with the limit value of superior is put forward. In this method, concentric relaxation search algorithm is used to quickly determine the optimal range of fixed values, and the on-line optimization model of fixed values is established by taking into account the upper limit values, and the local optimization of fixed values is carried out by genetic algorithm, and the fast online optimization of fixed values is realized.
【学位授予单位】：华中科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM771
[Abstract]:In recent years, with the rapid development of power network scale and the increasing complexity of operation mode, the traditional off-line setting calculation method of relay protection with step by step cooperation has become more and more serious in setting performance, so it is urgent to find a way to solve it. If the setting value can be arranged according to the overall optimal performance, the setting calculation can be considered as an optimization problem, and the fixed value of the performance problem can be adjusted according to the real-time operation state of the power network, the performance of the relay protection setting can be greatly improved. Aiming at the above problems, this paper studies the timing and limit protection setting optimization and its application in the on-line setting system. The main contents are as follows: the research status of the relay protection setting global optimization problem is summarized and studied. The existing optimization models are summarized from three aspects: the optimization of setting value of inverse time-limited protection, the optimization of setting value of mixed protection and the optimization of setting value of time-limited protection. The optimization algorithm is divided into two aspects: conventional optimization algorithm and artificial intelligence optimization algorithm. On this basis, the problems to be solved in the field of fixed value optimization are prospected, which lays a theoretical foundation for further research in this paper. In this paper, the risk theory is introduced into the problem of fixed value optimization, and a global optimization method of fixed value with time-limited protection based on risk index is proposed. Considering the uncertain factors of power network and the serious consequences caused by line faults, the generalized operation time of relay protection is defined as the risk index, and the optimal modeling is carried out with the aim of minimum operational risk. The genetic algorithm is used to simulate the model. The results show that the optimization result can effectively reduce the operational risk, improve the performance of relay protection, and is conducive to the safe and reliable operation of the power network. Finally, the application of timing protection optimization in online setting is discussed. In this paper, the basic structure of the integrated system of on-line checking and setting of relay protection is summarized. On the basis of this, a method of on-line optimization of fixed value with the limit value of superior is put forward. In this method, concentric relaxation search algorithm is used to quickly determine the optimal range of fixed values, and the on-line optimization model of fixed values is established by taking into account the upper limit values, and the local optimization of fixed values is carried out by genetic algorithm, and the fast online optimization of fixed values is realized.
【学位授予单位】：华中科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM771
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