This study focuses on the distribution network environment with a high proportion of wind and solar gridconnected systems, and aims to explore the optimal capac
In order to achieve the goals of “emission peak” and “carbon neutrality”, this paper proposes a collaborative optimization method of renewable energy and energy storage capacity for the
The research will focus on the construction of models and the analysis of practical application scenarios, exploring different types of DN configurations, and evaluating their applicability
To address this gap, this paper proposes a scheme for optimal configuration and coordinated operation of distribution networks based on wind-solar-hydrogen coupling.
We propose a unique energy storage way that combines the wind, solar and gravity energy storage together. And we establish an optimal capacity configuration model to optimize
Focusing on the optimal configuration and scheduling issue of distribution networks supported by wind-solar-hydrogen-storage systems, this research characterizes the uncertainty and correlation of
It verifies the feasibility of the quantum genetic algorithm in the optimization of the capacity configuration of the composite energy storage system and provides an interdisciplinary methodology
The suggested approach and procedure can effectively address the configuration of energy storage capacity in high-permeability wind and solar power distribution networks.
On the basis of considering the com-plementarity of wind and solar, this paper proposes a double layer optimization configuration model of wind and solar storage in the distribution network, which takes
This paper presents a comprehensive multi-objective planning framework for the optimal configuration of wind, solar, and energy storage systems within interconnected microgrid groups.
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