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Optimum control for UPQC-embedded source-network-load-storage system using extreme learning machine scheme
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DOI：10.1016/j.ijepes.2025.111462.png)
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Abstract
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• A novel control scheme for UPQC-embedded SNLS system is proposed to improve the penetration of RES and PQ simultaneously. • The multi-objective optimization problem is split as a few single-objective ones based on hierarchical optimization idea. • The ELM is used to train the surrogate model of the multi-objective optimum decision.
Keywords:
Unified power quality conditioner (UPQC)
Source-network-load-storage system (SNLSS)
Photovoltaic (PV)
Optimal operation
Extreme learning machine (ELM)
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