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January 1, 2026International Journal of Systems Control and Communications

Multi-objective optimisation operation strategy for virtual power plants considering renewable energy consumption rate

Yong Tang Linlin Yang Zuoliang Li Hao Yin Hao Zhuang

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Key Points

This research aims to develop an optimisation strategy for virtual power plants that incorporates renewable energy consumption rates.
Utilized a multi-objective optimisation framework
Focused on efficient energy management
Analyzed consumption rates of various renewable energy sources
Identified optimal strategies for energy usage
Increased overall efficiency of virtual power plants
Demonstrated improved renewable energy integration into the power grid

Implication

Multi-objective optimisation improves the operation strategy of virtual power plants, suggesting better renewable energy management.

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Cite This Study

Tang et al. (2026) studied this question.

synapsesocial.com/papers/69b3aca302a1e69014cce8b9 https://doi.org/10.1504/ijscc.2026.10076921

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Keep reading

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Research on resource aggregation scheduling and optimal control strategies for virtual power plants based on spatio-temporal data mining analysisOriginal Research · 2026
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4A Virtual Power Plant Electricity-Carbon Price Forecasting Model Based on Adaptive Learning AlgorithmsOriginal Research · 2026
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