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Research on Security Rectification Strategy of the Generators of Electrical Power Systems Based on Lattice Order Rough Sets Theory

机译:基于格序粗糙集理论的电力系统发电机安全整改策略研究

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摘要

In electrical power systems, due to the uncertainties of loads and corresponding power varieties, power systems tide currents will exceed over the allowed boundaries. As a result, power systems security suffers threat. Conventionally, the methods to solve the problem are single circuit/section security rectification based on sensitivity principle, whose process is quite complicated and low efficient, and is not easy to be understood. Therefore, the paper proposes a novel security rectification strategy based on partial/lattice order rough sets theory. The methods firstly establish the positive, the negative and the boundary universe of generators modulation schemes in accordance with sensitivity principles, then, in the upper approximation space of the adjustable generators, through applying partial order relation of rough sets, maximal ideal set of adjustable generators is achieved. Maximal ideal set is constantly modulated according to sensitivity varieties of the generators, and therefore can better adapt to dynamic variety environment. Being used to security rectifying strategy of power system generators, the practical results show that the method is very effective.
机译:在电力系统中,由于负载和相应功率种类的不确定性,电力系统潮汐电流将超过允许的边界。结果,电力系统安全受到威胁。传统上,解决该问题的方法是基于灵敏度原理的单电路/部分安全整流,其过程相当复杂且效率低下,不易理解。因此,本文提出了一种基于偏/格序粗糙集理论的安全纠正策略。该方法首先根据灵敏度原理建立了发电机调制方案的正,负和边界宇宙,然后在可调发电机的上近似空间中,通过应用粗糙集的偏序关系,获得了可调发电机的最大理想集。已完成。最大理想集是根据发电机的灵敏度变化不断调节的,因此可以更好地适应动态变化的环境。实际结果表明,该方法在电力系统发电机安全整改中是非常有效的。

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