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风电功率预测信息对电力系统日前调度的影响及其适应性研究

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风电功率点预测和区间预测的方法是目前电力系统调度运行中广泛采用的风电预测方法.基于现有的风电预测技术,建立风电功率预测模型,并构建考虑风电功率预测信息的日前机组组合模型,进而应用随机生产模拟分析不同预测信息下系统调度方案的区别.重点分析了不同场景削减技术以及概率区间取值方式对于调度计划执行后各项成本及总成本的影响.算例分析表明应用风电场景预测的调度方案在经济性方面优于应用区间预测的方案;场景概率和距离描述是影响风电场景预测效果的关键因素;而对风电区间预测而言存在最优置信区间,在此区间下可以实现系统经济性和鲁棒性的均衡.
Impact of Wind Power Forecast Information on Power System Day-Ahead Scheduling and Its Applicability
Wind power point and interval forecasting methods have been widely applied in current power system scheduling and operation.This paper establishes the wind power forecast model based on the existing wind power forecasting techniques.Besides,it builds up the day-ahead unit commitment model considering the distinct types of wind power prediction information.Then,the stochastic simulation of wind power is applied to analyze the distinction between different forecast information in the system scheduling program,with a focus on the impact of the scenarios reduction techniques and probability interval value selection on the individual and total cost of power system scheduling program.The calculation example shows that the application of wind power scenario forecast information in scheduling scheme is superior to the application of wind power interval forecast information in economic aspects.And the description of scenario probability and distance is the key factor for the effect of wind power scenario forecast while there is an optimal range of the confidence interval among the wind power interval forecast and equilibrium of economy and robustness can be achieved in this case.

wind power forecastingscenario forecastingscenarios reductionunit commitmentinterval forecasting

俞国勤、杨雪纯、王蓓蓓

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国网上海市电力公司培训中心,上海200438

东南大学,南京210096

风电功率预测 场景预测 场景削减 机组组合 区间预测

国家自然科学基金国家自然科学基金

7100102651277028

2014

华东电力
华东电力试验研究院有限公司

华东电力

CSTPCD
影响因子:0.551
ISSN:1001-9529
年,卷(期):2014.42(8)
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