Method for mining action frequency of device in reactive power optimization online control

Abstract

An embodiment of the invention discloses a method for mining an action frequency of a device in reactive power optimization online control, and relates to the field of the reactive power optimization online control of a power system. For the problems of relatively low mining efficiency and difficulty in realizing online setting during calculation by adopting an association mining method in reactive power optimization control, quick and reasonable setting of the action frequency of the device in the reactive power optimization is realized by combining improved quick fuzzy association mining with incremental mining; the overall calculation efficiency of mining the action frequency of the device is improved through the improved quick fuzzy association mining algorithm; and the introduction of the incremental mining further improves the target mining efficiency. Therefore, numerous tedious work of operators in the aspect of setting the action frequency of the device in the reactive power optimization online control is reduced; quick mining and online setting of the action frequency of the device are realized on the premise of ensuring a reasonable and accurate setting result; and a relatively good voltage control effect can be achieved finally in the reactive power optimization online control.

Description

technical field [0001] The invention relates to the field of reactive power optimization control of electric power systems, in particular to a method for excavating equipment action times in reactive power optimization online control. Background technique [0002] At present, on the control equipment in the power system, reactive power optimization on-line control has become mature and has been widely used after years of research. However, the setting of key parameters such as the number of actions of the control equipment is cumbersome and difficult to grasp, and the actual control effect is often greatly affected due to unreasonable settings. [0003] However, the parameter setting of control equipment in traditional reactive power optimization mostly relies on the personal experience of the operator to set, for example, the settings of two important parameters, the number of transformer gear actions and the number of compensation equipment actions in a day. Usually, one ...

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Problems solved by technology

Usually, one day is divided according to the approximate load trend of the substation, and then the number of operations of the equipment in the period is set one by one according to one's own experience. This division method is mainly based on human experience, often due to the subjective judgment of the operator or the load season. The control effect is not ideal after the system has been running for a period of time due to factors such as changes in performance and untimely maintenance. In order to ensure the optimization effect of online control, operators often need to continuously check the setting results of key parameters according to the characteristics of load changes. adjustment

In large-scale regional power grids, frequent adjustments of equipment parameters will bring a huge workload to operators, and due to the lack of sufficient operators with rich experience in operation and maintenance, it is also difficult to grasp the division of load periods and specific time periods. The precise setting of the number of actions ultimately makes it difficult to further optimize the control effect in large-scale regional power grid systems

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