Dual Stochastic Dual Dynamic Programming for Multi-Stage Economic Dispatch With Renewable Energy and Thermal Energy Storage

The rapid growth of renewable energy sources brings great challenges to the economic dispatch of the modern power system. Retrofitting thermal power plants with thermal energy storage (TES) can improve the operational flexibility of the plants to handle the uncertainty of renewable energy sources. A...

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Bibliographic Details
Published in:IEEE transactions on power systems Vol. 39; no. 2; pp. 1 - 12
Main Authors: Zhang, Xiaosheng, Ding, Tao, Mu, Chenggang, Han, Ouzhu, Huang, Yuhan, Shahidehpour, Mohammad
Format: Journal Article
Language:English
Published: New York IEEE 01.03.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Alternative energy sources
Boilers
Coal-fired power plants
dual stochastic dual dynamic programming
Dynamic programming
Economic dispatch
Economic models
Energy policy
Energy resources
Energy storage
Flexibility
multi-stage stochastic programming
Power dispatch
Power generation
renewable energy
Renewable energy sources
Renewable resources
Retrofitting
Stochastic processes
Stochastic programming
Thermal energy
thermal energy storage
Thermal power plants
Uncertainty
ISSN:0885-8950, 1558-0679
Online Access:Get full text
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Summary:The rapid growth of renewable energy sources brings great challenges to the economic dispatch of the modern power system. Retrofitting thermal power plants with thermal energy storage (TES) can improve the operational flexibility of the plants to handle the uncertainty of renewable energy sources. An economic dispatch model which considers retrofitted coal-fired power plants with thermal energy storage is proposed to promote the proliferation of uncertain renewable energy resources. A multi-stage stochastic programming (MSSP) model is constructed to accommodate the uncertainties of renewable energy resources, which provides a higher level of flexibility as compared with the traditional two-stage stochastic programming solutions. In addition, dual stochastic dual dynamic programming is employed, and a new policy is proposed to enhance the computational efficiency of the proposed MSSP model. Numerical results for a practical regional power system in China are presented and analyzed to verify the effectiveness of the proposed solution method for the economic dispatch model.
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ISSN:0885-8950
1558-0679
DOI:10.1109/TPWRS.2023.3288859