微电网经济运行中的典型时序场景分析方法
发布时间：2018-08-29 16:39
【摘要】：微电网经济运行涉及对大量场景和方案的分析评价,区域内风电/光伏出力和负荷变化的时序性、周期性和不确定性给微电网运行带来影响。提出一种典型场景分析方法,对计算周期内的大量风电/光伏出力和负荷原始数据进行同步聚类划分,形成能够反映计算周期内历史数据特征的典型场景集;建立包含多种分布式电源和储能单元的微电网系统经济运行优化模型;针对某微电网区域,比较典型时序场景、全周期时序场景、周期内缩减场景3类场景数据的经济运行优化结果,验证所提方法的有效性。
[Abstract]:The economic operation of microgrid involves the analysis and evaluation of a large number of scenarios and schemes. The timing, periodicity and uncertainty of wind / photovoltaic power generation and load variation in the region affect the operation of microgrid. A typical scene analysis method is proposed to cluster the original wind / photovoltaic output and load data in the calculation cycle to form a typical scene set which can reflect the historical data characteristics in the calculation cycle. The economic operation optimization model of microgrid system including multiple distributed power sources and energy storage units is established, and for a microgrid area, the typical time sequence scenario and the whole cycle time sequence scenario are compared. The results of economical operation optimization of three kinds of scene data are reduced in the cycle to verify the effectiveness of the proposed method.
【作者单位】： 合肥工业大学安徽省新能源利用与节能实验室;
【基金】：国家高技术研究发展计划(863计划)资助项目(2015-AA050104)~~
【分类号】：TM727
[Abstract]:The economic operation of microgrid involves the analysis and evaluation of a large number of scenarios and schemes. The timing, periodicity and uncertainty of wind / photovoltaic power generation and load variation in the region affect the operation of microgrid. A typical scene analysis method is proposed to cluster the original wind / photovoltaic output and load data in the calculation cycle to form a typical scene set which can reflect the historical data characteristics in the calculation cycle. The economic operation optimization model of microgrid system including multiple distributed power sources and energy storage units is established, and for a microgrid area, the typical time sequence scenario and the whole cycle time sequence scenario are compared. The results of economical operation optimization of three kinds of scene data are reduced in the cycle to verify the effectiveness of the proposed method.
【作者单位】： 合肥工业大学安徽省新能源利用与节能实验室;
【基金】：国家高技术研究发展计划(863计划)资助项目(2015-AA050104)~~
【分类号】：TM727
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