期刊
ENERGY CONVERSION AND MANAGEMENT
卷 205, 期 -, 页码 -出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.enconman.2019.112441
关键词
Regional integrated energy system (RIES); Energy planning; Kernel density estimation; Shortest path; Energy stations; Energy networks
资金
- National Natural Science Foundation of China [51876064]
The effective planning of energy stations and networks is critical for improving the economic and energy performance of regional integrated energy systems. Based on the principle of minimizing investment cost and network losses, this study proposes a novel methodology involving both kernel density estimation and shortest path methods to optimize the transmission network. The optimal locations of energy supply and storage stations are determined according to the kernel density of the annual energy consumption of building groups and the annual energy output of energy stations in the kernel density estimation method, respectively. The shortest path method using the Astar search algorithm with a screening algorithm is used to optimize the distribution of energy networks. The proposed methodology is verified by a hypothetical region from literature. The modified energy station and network planning methodology based on kernel density hotspots can reduce the total network length by 21.3%. Moreover, the proposed methodology can be applied easily and effectively to select the locations of the energy stations and determine the distribution of the energy networks in a regional integrated energy system.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据