Rolling-horizon dispatch of advanced adiabatic compressed air energy storage based energy hub via data-driven stochastic dynamic programming
Authors:
- Jiayu BaiJBJiayu Bai
- Wei WeiWWWei Wei
- Laijun ChenLCLaijun Chen
- Shengwei MeiSMShengwei Mei
- 1 September 2021
- journal article
- research article
- Published by Elsevier in Energy Conversion and Management
- Vol. 243
Abstract
No abstract availableKeywords
Funding Information
- National Natural Science Foundation of China (51807101, U1766203, 201903D421029)
- Shanxi Provincial Key Research and Development Project (51807101, U1766203, 201903D421029)
This publication has 56 references indexed in Scilit:
- A Fast Technique for Smart Home Management: ADP With Temporal Difference LearningIEEE Transactions on Smart Grid, 2016
- Optimal dispatch of zero-carbon-emission micro Energy Internet integrated with non-supplementary fired compressed air energy storage systemJournal of Modern Power Systems and Clean Energy, 2016
- SDDP for multistage stochastic programs: preprocessing via scenario reductionComputational Management Science, 2016
- Modelling study, efficiency analysis and optimisation of large-scale Adiabatic Compressed Air Energy Storage systems with low-temperature thermal storageApplied Energy, 2016
- Optimal Hour-Ahead Bidding in the Real-Time Electricity Market with Battery Storage Using Approximate Dynamic ProgrammingINFORMS Journal on Computing, 2015
- On the Convergence of Decomposition Methods for Multistage Stochastic Convex ProgramsMathematics of Operations Research, 2015
- Theoretical evaluation on the impact of heat exchanger in Advanced Adiabatic Compressed Air Energy Storage systemEnergy Conversion and Management, 2014
- Robust Unit Commitment With Wind Power and Pumped Storage HydroIEEE Transactions on Power Systems, 2011
- Determination of the spread parameter in the Gaussian kernel for classification and regressionNeurocomputing, 2003
- Multi-stage stochastic optimization applied to energy planningMathematical Programming, 1991