考虑新能源与电动汽车接入下的主动配电网重构策略

发布时间：2017-12-28 14:11

本文关键词：考虑新能源与电动汽车接入下的主动配电网重构策略　出处：《电力系统自动化》2015年14期 　论文类型：期刊论文

【摘要】：随着分布式风力发电等新能源以及电动汽车(EV)等新型负荷接入配电网的比重逐步提高,传统的配电网重构模型难以反映其随机性和波动性。文中首先构造了风力机和EV的概率场景模型及含分布式电源(DG)和EV的配电网重构模型;其次,在场景分割的基础上对不同场景分别进行线性化随机潮流计算,在保证精确性的前提下简化模型,避免了场景的组合爆炸,体现了对于配电网中不断增加的DG和EV的适应性;最后采用一种适用于配电网重构场景模型的改进生物地理学优化算法,通过引入改进的编码规则、余弦迁移模型及变异操作,提高搜索速度和精度,抑制算法进化过程中因早熟收敛而陷入局部最优。算法在IEEE 69节点算例20次仿真计算中比传统人工智能算法更有优势。
[Abstract]:With the increasing proportion of new load such as distributed wind power and new load of electric vehicle (EV) to distribution network, the traditional distribution network reconfiguration model is difficult to reflect its randomness and volatility. In this paper, we first construct the scene probability model of wind turbine and EV (DG) and distributed power distribution network reconfiguration model and EV; secondly, based on scene segmentation on different scenes were linear stochastic power flow calculation, in the premise of ensuring the accuracy of the simplified model, avoid the combinatorial explosion scene. The distribution network reflects the increasing DG and the adaptability of the EV; last we apply scene model of distribution network reconfiguration improved biogeography optimization algorithm, by introducing the improved encoding rules, cosine model and variation of migration operation, improve the search speed and accuracy, inhibit the evolutionary process because of premature convergence and local optimal. The algorithm is more advantageous than the traditional artificial intelligence algorithm in the 20 simulation calculation of the IEEE 69 node example.
【作者单位】：武汉大学电气工程学院;浙江省台州市供电公司;
【基金】：国家电网公司科技项目(5211011400BT)~~
【分类号】：TM727
【正文快照】： 0引言近年来,化石能源短缺、环境污染和全球气候变化等问题引发世界范围内的新能源革命。以风能、光伏发电为主要形式的分布式电源(DG)发展迅速,中国风电机组装机容量计划在2020年达到2亿千瓦[1]。这些新能源为缓解电能紧张、改善能源结构做出了巨大贡献,受到广泛重视和研究。

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