Research on multi-time scale cooperative optimal scheduling of source, load, and storage in microgrid with flexible resources

Abstract The large-scale integration of wind power and photovoltaics (PV) has increased the uncertainty in power system operation, posing challenges to energy balance. To enhance the flexibility and renewable energy integration capability of the new power system, a multi-timescale coordinated optimization method for microgrid generation-load-storage considering flexibility resource regulation potential is proposed. Based on the regulation potential of demand-side flexibility resources, their multi-timescale characteristics are utilized for operation and regulation. Simulation results confirm that the model can enhance the integration capability of renewable energy, smooth the load curve, and reduce system operating costs.

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Publication Details

Journal
Journal of Physics Conference Series
Published
2024-08-01
DOI
https://doi.org/10.1088/1742-6596/2823/1/012028
Primary Topic
Microgrid Control and Optimization
Type
article
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Research on multi-time scale cooperative optimal scheduling of source, load, and storage in microgrid with flexible resources

Minqi Yu, Gang Xu, Yuliang Lei, Cong Zhu et al.
Journal of Physics Conference Series
Microgrid Control and Optimization
article

Research on multi-time scale cooperative optimal scheduling of source, load, and storage in microgrid with flexible resources

Minqi Yu, Gang Xu, Yuliang Lei, Cong Zhu, Xinyao Lu, Maolin Wen
article en

Abstract

Abstract The large-scale integration of wind power and photovoltaics (PV) has increased the uncertainty in power system operation, posing challenges to energy balance. To enhance the flexibility and renewable energy integration capability of the new power system, a multi-timescale coordinated optimization method for microgrid generation-load-storage considering flexibility resource regulation potential is proposed. Based on the regulation potential of demand-side flexibility resources, their multi-timescale characteristics are utilized for operation and regulation. Simulation results confirm that the model can enhance the integration capability of renewable energy, smooth the load curve, and reduce system operating costs.

Journal of Physics Conference SeriesVol. 2823(1)
North China Electric Power University (CN), Hunan Xiangdian Test Research Institute (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 86%
Microgrid Control and Optimization
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Research on multi-time scale cooperative optimal scheduling of source, load, and storage in microgrid with flexible resources — Minqi Yu, Gang Xu, et al. · Journal of Physics Conference Series (2024) | TGRS Research Map | TGRS