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Two-layer Optimal Strategy for Microgrid Considering Flexible Resources
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Yunjun YU1, Linfeng YANG1, Zhirui HA2, Zhiping ZHONG2, Guoying ZHONG2, Hai GONG1
Journal of Power Supply | 2025, 23(2) : 115 - 124
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Journal of Power Supply | 2025, 23(2): 115-124
• Renewable Energy System •
Two-layer Optimal Strategy for Microgrid Considering Flexible Resources
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Yunjun YU1, Linfeng YANG1, Zhirui HA2, Zhiping ZHONG2, Guoying ZHONG2, Hai GONG1
Affiliations
  • 1 School of Information Engineering, Nanchang University, Nanchang 330031, China
  • 2 Pingxiang Power Supply Company, Pingxiang 337000, China
Published: 2025-03-30 doi: 10.13234/j.issn.2095-2805.2025.2.115
Outline
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To improve the capability of microgrid in coping with new energy output and load uncertainty, an optimal control strategy for microgrid considering flexible resources is proposed. According to the source-storage-load characteristics of various flexible resources, a two-layer optimal scheduling model for microgrid is established. In the user layer, user-side flexibility resources are introduced, with an optimization goal of minimizing the difference between user costs and net load and decision variables of electric vehicles and output power of translatable loads. In the source-storage layer model, flexible resources are added to the energy storage and power generation sides, with an optimization goal of minimizing the microgrid operators’ cost and load loss rate and decision variables of gas turbines, main network tie-line and output power of energy storage unit. A case study based on scenario-reduced seasonal typical daily data is simulated, and the improved MOEA/D(multi-objective evolutionary algorithm based on decomposition) algorithm is used to solve the two-layer optimal scheduling model. Results show that the average annual user cost is reduced by 6.85%, the average annual total cost of operators is reduced by 14.68%, and the average annual load loss rate is reduced by 6.65%. The results verified the correctness and effectiveness of the proposed method.

Renewable energy  /  microgrid  /  scheduling  /  flexible resource  /  improved MOEA/D algorithm  /  multi-objective optimization
Yunjun YU, Linfeng YANG, Zhirui HA, Zhiping ZHONG, Guoying ZHONG, Hai GONG. Two-layer Optimal Strategy for Microgrid Considering Flexible Resources[J]. Journal of Power Supply, 2025 , 23 (2) : 115 -124 . DOI: 10.13234/j.issn.2095-2805.2025.2.115
Funding
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  • Jiangxi Province Key R&D Program Project(20214BBG74006)
  • National Natural Science Foundation of China(61563034)
  • National Special Project for International Science and Technology Cooperation(2014DFG72240)
Appendix
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Year 2025 volume 23 Issue 2
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1449
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Article Info
doi: 10.13234/j.issn.2095-2805.2025.2.115
  • Receive Date：2022-07-10
  • Online Date：2025-07-01
  • Published：2025-03-30
Article Data
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History
  • Received：2022-07-10
  • Revised：2022-10-18
  • Accepted：2022-11-06
Funding
Jiangxi Province Key R&D Program Project(20214BBG74006)
National Natural Science Foundation of China(61563034)
National Special Project for International Science and Technology Cooperation(2014DFG72240)
Affiliations
    1 School of Information Engineering, Nanchang University, Nanchang 330031, China
    2 Pingxiang Power Supply Company, Pingxiang 337000, China
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