Real‐Time Microgrid Dispatching Considering Renewable Uncertainties: An Improved Approximate Dynamic Programming Method Article Swipe
B.H. Yin
,
Gengfeng Li
,
Yuxiong Huang
,
Zhaohong Bie
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1049/gtd2.70145
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1049/gtd2.70145
The volatility of distributed photovoltaic (PV) and wind turbine (WT) brings great challenge to the real‐time dispatching of microgrid. This work aims at solving the problem via an improved approximate dynamic programming (ADP) method. Firstly, a two‐stage microgrid dispatching framework is formulated to tackle uncertainty of PV and WT generation with an ADP model which is trained off‐line and utilized in real‐time dispatching. Secondly, an ambiguity set is proposed to utilize distribution knowledge of renewable generations for the generation of off‐line training scenarios. Thirdly, an alternating direction successive projective approximation routine is proposed for the off‐line training of ADP model to reduce the impact of initial cost‐to‐go value function and improve the accuracy of ADP model. Finally, case studies are conducted on the IEEE 37‐bus and 123‐bus systems to illustrate the effectiveness of the proposed method.
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- article
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- Landing Page
- https://doi.org/10.1049/gtd2.70145
- OA Status
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- 25
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All OpenAlex metadata
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https://doi.org/10.1049/gtd2.70145Digital Object Identifier
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Real‐Time Microgrid Dispatching Considering Renewable Uncertainties: An Improved Approximate Dynamic Programming MethodWork title
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articleOpenAlex work type
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enPrimary language
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2025Year of publication
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2025-01-01Full publication date if available
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B.H. Yin, Gengfeng Li, Yuxiong Huang, Zhaohong BieList of authors in order
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https://doi.org/10.1049/gtd2.70145Publisher landing page
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://doi.org/10.1049/gtd2.70145Direct OA link when available
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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