基于拓扑结构与单元位置选择的微电网系统经济性分析

占晓友; 文水枭; 邵华

doi:10.16513/j.cnki.10-1427/tk.2016.03.008

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分布式能源 ›› 2016, Vol. 1 ›› Issue (3) : 49-54. DOI: 10.16513/j.cnki.10-1427/tk.2016.03.008

基于拓扑结构与单元位置选择的微电网系统经济性分析

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Economic Analysis of Microgrid System Based on Topological Structure and Unit Location

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摘要

微电网技术因其能够高效环保地整合各种分布式发电(distributed generation, DG)单元并入大电网系统而得到越来越多的重视，同时微电网系统的推广应用必须要考虑经济性，其经济性评估取决于系统的成本。微电网系统成本包括了各DG单元的投资、运行、维护成本以及微电网系统的网损费用。该文重点针对网损费用，对比分析了3种具有代表性的拓扑结构，给出了基于拓扑结构与单元位置选择的微电网放置方案。利用MATPOWER仿真软件对微电网不同放置位置进行潮流计算分析，得出各种方案下系统网损费用。对比发现不同拓扑结构下的微电网系统所需的经济成本有所不同，而在同一拓扑结构下，DG单元放置位置不同，也会影响微电网系统的经济性分析。采用双电网并入式环状结构的微电网成本最低，辐射状拓扑结构的微电网成本最高。

Abstract

Microgrid technology has been increasingly concerned for its high efficiency and environmental integration of various distributed generation (DG) units into large power grid system. The wide application of micro-grid system should consider the economy, and the economic evaluation depends on the system cost. The cost of microgrid system covers the investment, operation and maintenance cost of all GD units, and the power losses of microgrid system. The power losses cost, especially for 3 typical topological structure, was compared to determine the microgrid layout solutions based on topological structure and unit location selection. MATPOWER simulation software was introduced to calculate the power flow in different location of microgrid to get the power loss cost. The results show that the economic cost of microgrid system depends on its topological structure; the location of DG units has effect on the economic analysis of the microgrid system for the same topological structure. The microgrid with dual-grid integrated ring structure is of the lowest cost, and that with radial topology is of the highest cost.

导出引用

占晓友, 文水枭, 邵华. 基于拓扑结构与单元位置选择的微电网系统经济性分析[J]. 分布式能源. 2016, 1(3): 49-54 https://doi.org/10.16513/j.cnki.10-1427/tk.2016.03.008

Xiaoyou ZHAN, Shuixiao WEN, Hua SHAO. Economic Analysis of Microgrid System Based on Topological Structure and Unit Location[J]. Distributed Energy Resources. 2016, 1(3): 49-54 https://doi.org/10.16513/j.cnki.10-1427/tk.2016.03.008

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