短期风功率场景质量的评估框架构建研究
发布时间：2019-05-06 22:27
【摘要】：短期风功率场景作为随机规划的输入受到广泛关注,场景质量直接关系到决策结果的优劣。目前大量场景生成方法中,缺乏对场景质量的评估,为此,将短期风电不确定性分为时间断面上的随机性和时段之间的波动性,建立了场景质量评估框架。以爱尔兰电力系统风电数据为样本,对是否考虑风电出力时段之间相关性的2类场景进行评估。结果表明考虑出力相关性的场景,可以更好地刻画风电随机性和波动性,能够为调度运行及可靠性评估提供更有力的技术支持。
[Abstract]:Short-term wind power scene is widely concerned as the input of stochastic programming, and the quality of the scene is directly related to the quality of decision-making results. At present, there is a lack of evaluation of scene quality in a large number of scene generation methods. Therefore, the uncertainty of short-term wind power is divided into randomness on time section and volatility between time intervals, and a scene quality assessment framework is established. Using the wind power data of Irish power system as a sample, two types of scenarios considering the correlation between wind power output periods are evaluated. The results show that the scenario considering output correlation can better describe the randomness and volatility of wind power and can provide more powerful technical support for dispatching operation and reliability evaluation.
【作者单位】： 武汉大学电气工程学院;
【基金】：高等学校博士学科点专项科研基金项目(20110141110032)~~
【分类号】：TM614
，
本文编号：2470541
[Abstract]:Short-term wind power scene is widely concerned as the input of stochastic programming, and the quality of the scene is directly related to the quality of decision-making results. At present, there is a lack of evaluation of scene quality in a large number of scene generation methods. Therefore, the uncertainty of short-term wind power is divided into randomness on time section and volatility between time intervals, and a scene quality assessment framework is established. Using the wind power data of Irish power system as a sample, two types of scenarios considering the correlation between wind power output periods are evaluated. The results show that the scenario considering output correlation can better describe the randomness and volatility of wind power and can provide more powerful technical support for dispatching operation and reliability evaluation.
【作者单位】： 武汉大学电气工程学院;
【基金】：高等学校博士学科点专项科研基金项目(20110141110032)~~
【分类号】：TM614
，
本文编号：2470541
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