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Over current relay coordination of modified IEEE test systems with distributed generation using genetic algorithm approach

机译:使用遗传算法的分布式发电改进IEEE测试系统的过电流继电器协调

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The development of smart grid technology leads to the addition of more and more distributed renewable energy resources like wind power, solar power etc. to the grid. The distributed generating sources are usually connected in the load side and the major protective device in the distribution side is the Over Current Relay (OCR) which is the effective and economic protection scheme. The coordination of over current relays is generally studied based on fixed network topology and the generating sources. The dynamic nature of renewable energy sources results in the variation of short circuit level, bidirectional power flow etc and hence the protective devices have to adapt to these changes. The artificial intelligence technique helps to change the relay settings according to the variation in wind velocity, number of wind generators put in service etc. In this paper coordination of over current relay is carried out by genetic algorithm and optimum time dial settings is found out according to varying wind power penetration.
机译:智能电网技术的发展导致向电网增加了越来越多的分布式可再生能源,如风能,太阳能等。分布式发电源通常连接在负载侧,而配电侧的主要保护装置是过电流继电器(OCR),这是一种有效且经济的保护方案。通常基于固定网络拓扑和产生源来研究过电流继电器的协调。可再生能源的动态特性导致短路水平,双向潮流等的变化,因此保护装置必须适应这些变化。人工智能技术有助于根据风速的变化,投入运行的风力发电机的数量等来更改继电器的设置。在本文中,通过遗传算法对过电流继电器进行协调,从而找到最佳的时间刻度设置。改变风力的穿透力。

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