分布式发电机组配电系统大面积停电恢复的研究

Xu Yuqin, Zhang Li, Wang Zeng-ping
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引用次数: 7

摘要

针对分布式发电机配电网,特别是考虑到由分布式发电机和负荷组成的微电网的运行情况,提出了一种基于agent -环境-规则约束满足问题(agent -环境-规则)的分布式发电机配电网大规模停电恢复问题求解模型。在多智能体系统中,所有的智能体都生活在一个格状的环境中,它们不仅能感知自己所在的环境,还能在其中移动。为了充分利用dg的容量,减少停电面积,研究dg在配电系统大面积停电恢复过程中的运行方法。采用异步回溯算法求解基于CSP的AER模型,agent的值可以交换,也可以根据agent与环境之间的影响进行更新。最后,算例结果表明了所提方法的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on service restoration for large area blackout of distribution system with distributed generators
In terms of the distribution system with distributed generators (DGs) especially considering the operation of micro-grids (MGs) composed of DGs and loads, an AER (Agent-Environment-Rules) Constraint Satisfaction Problem (CSP) based model to solve the serve restoration problem in the event of a large-scale blackout in a power distribution network with DGs is proposed. All agents live in a lattice-like environment using multi-agent system, and they can not only sense their local environment but also move in it. The operation method of DGs in the process of service restoration for large area blackout of distribution system with DGs is researched for making use of the capacity of DGs sufficiently and reducing the blackout area. The asynchronous backtracking algorithm is used to solve the AER model based on CSP, the values of the agents can be exchanged, and they also can be updated by the influence between the agents and the environment. Finally, the example results indicate the feasibility of the proposed method.
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