文章引用说明 更多>> (返回到该文章)

李春燕. 潮流跟踪模型和算法及其在输电阻塞管理中的应用[D]: [博士学位论文]. 重庆: 重庆大学电气工程学院, 2008.

被以下文章引用:

  • 标题: 大规模直购电交易的重要输电路径分析Important Transfer Power Lines Analysis under Large Scale Direct Electricity Purchases

    作者: 刘莉莉, 喻洁, 薛必克

    关键字: 大用户直购电, 广度优先搜索, 灵敏度分析, 输电路径Direct Power Purchase by Large Consumers, Breadth First Search, Sensitivity Analysis, Transfer Power Lines

    期刊名称: 《Journal of Electrical Engineering》, Vol.4 No.2, 2016-06-14

    摘要: 开展大用户直购电能够激发电力市场的潜力,是电力工业市场化改革的突破口。大规模直购电交易一般为跨区跨省的长距离电力交易,对电网的运行方式和潮流计算产生影响。分析大用户直购电交易的输电路径,将为电网运行稳定性分析和支路阻塞管理提供支持。本文提出一种结合广度优先搜索的灵敏度分析方法,广度优先搜索方法可以搜索出所有直购电交易的输电路径,结合灵敏度分析法得到直购电交易对输电线路的灵敏度。对于大规模的直购电交易,可以计算出多个直购电交易对输电线路的叠加灵敏度,分析直购电交易的重要输电线路。本文以IEEE118节点系统为例进行算例分析,结果表明了该方法的合理性和有效性。 It can stimulate the potential of electric power market to carry out the direct electricity purchase by large consumers, and it is a breakthrough in the electric power industry marketization. Large scale direct electricity purchases are generally inter-district inter-provincial long-distance power transactions and affect the operation mode and power flow calculation of power grid. Transfer power lines analysis of the direct electricity purchase by large consumers will provide support for the stability analysis of the electric power grid operation and congestion management of the power transmission branches. A sensitivity analysis method combined with breadth first search is proposed in this paper. Breadth first search method can search out all transfer power lines of the direct electricity purchases, and then breadth first search method combined with sensitivity analysis can get the sensitivity of the direct electricity purchase by large consumers on the transfer power lines. For large scale direct electricity purchases, the method proposed in this paper can be used to calculate the stack sensitivity of a plurality of direct electricity purchases on the transfer power lines. In this paper, based on the IEEE 118 nodes system as an example for example analysis, the results show the rationality and validity of the proposed method.

在线客服:
对外合作:
联系方式:400-6379-560
投诉建议:feedback@hanspub.org
客服号

人工客服,优惠资讯,稿件咨询
公众号

科技前沿与学术知识分享