Reserve Demand Assessment Based on Dynamic Percentage of Renewable Generation and Load Forecasts
Author:
Affiliation:
1. Research Institute,State Grid Sichuan Economic,Chengdu,China
2. Hunan University,College of Electrical and Information Engineering,Changsha,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10115460/10115466/10117076.pdf?arnumber=10117076
Reference16 articles.
1. A probabilistic method for reserve sizing in power grids with high renewable penetration;kendall;IEEE Transactions on Power Systems,2020
2. Data-Driven Dynamic Probabilistic Reserve Sizing Based on Dynamic Bayesian Belief Networks;fateme;IEEE Transactions on Power Systems,2019
3. Prediction Error analysis of wind power based on clustering and non-parametric kernel density estimation;xiaoying;Acta Energiae Solaris Sinica,2019
4. Reserve Capacity Calculation of Power System Considering Wind Power Integration;nan;Proceedings of the CSU-EPSA,2016
5. Impact of modelling non-normality and stochastic dependence of variables on operating reserve determination of power systems with high penetration of wind power;mohammad;International Journal of Electrical Power & Energy Systems,2018
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