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Distributed intelligence: Unleashing flexibilities for congestion management in smart distribution networks (Invited paper)

机译:分布式智能:为智能配电网络中的拥塞管理释放灵活性(已邀请论文)

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Electrical distribution networks worldwide are facing frequent capacity challenges due to the widespread roll out of various distributed energy resources (DERs). A number of demand response (DR) mechanisms have been developed in order to circumvent the problems and enhance the flexibility of the distribution network. While the existing centralized control system remains its crucial role for reliable and secure grid operation, distributed intelligence is a complement technology with a focus on dividing the control task into a number of simpler problems and solve them with minimum exchange of information. Based on the recent developments of distributed intelligence, this paper discusses a decentralized approach to enable demand response for managing the congestions more efficiently. The approach is validated with simulations for representative Dutch low-voltage (LV) networks.
机译:由于各种分布式能源(DER)的广泛推广,全球的配电网络面临频繁的容量挑战。为了避开这些问题并增强配电网络的灵活性,已经开发了许多需求响应(DR)机制。尽管现有的集中控制系统仍然是可靠和安全的电网运行的关键角色,但分布式智能是一种补充技术,其重点是将控制任务划分为多个更简单的问题,并以最少的信息交换来解决这些问题。基于分布式智能的最新发展,本文讨论了一种分散式方法,以使需求响应能够更有效地管理拥塞。该方法已通过对荷兰典型低压(LV)网络进行仿真验证。

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