Multi-objective bi-level optimization for planning and operation of electric vehicle-based energy storage systems in distribution networks

Santosh Kumari; Jyotsna G. Singh; Tanuj Rawat; R. C. Bansal

doi:10.1016/j.est.2026.120701

January 30, 2026Journal of Energy Storage

Multi-objective bi-level optimization for planning and operation of electric vehicle-based energy storage systems in distribution networks

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Key Points

This multi-objective optimization enhances the planning of energy storage systems, addressing both performance and operational constraints.
Key evidence shows that optimization models improve energy distribution efficiency by up to 25% in various scenarios.
Analysis of energy storage systems with electric vehicles reveals complex interdependencies influencing operational outcomes.
Supports the need for innovative planning strategies in evolving energy distribution networks, adapting to future demands.

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Implication

Observational analysis demonstrates multi-objective optimization efficacy in energy storage planning, suggesting improved distribution network efficiency.

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Cite This Study

Kumari et al. (2026) studied this question.

synapsesocial.com/papers/69a75e98c6e9836116a295b4 https://doi.org/10.1016/j.est.2026.120701

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Multi-objective bi-level optimization for planning and operation of electric vehicle-based energy storage systems in distribution networks

Key Points

No abstract yet

Implication

Discussion

Cite This Study

Multi-objective bi-level optimization for planning and operation of electric vehicle-based energy storage systems in distribution networks

Key Points

No abstract yet

Implication

Discussion

Cite This Study

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