Work

A Bi-Level Optimization Scheme for Energy Storage Configuration in High PV-Penetrated Distribution Networks Based on Improved Voltage Sensitivity Strategy

Year: 2025

Type: article

Abstract: This study proposes a bi-level optimization strategy to determine the optimal location and capacity for energy storage systems. Before applying the proposed bi-level optimization scheme, the PV output data are clustered by the K-means algorithm, and an active power–voltage sensitivity strategy is presented to identify nodes with high sensitivity in the clustered PV output data. Based on the data of the clustered nodes, a bi-level optimization model is established to determine the optimal location, rated power, and capacity of energy storage using the particle swarm optimization (PSO) algorithm. Finally, compared with traditional voltage sensitivity methods, some case studies with the proposed scheme are executed in the IEEE-33 bus system, which reveals better performance in reducing voltage deviation, network losses, and economic costs.

Source: Energies

DOI: 10.3390/en18081908

Authors: Bo Gao, Qing Du, Gonghao Zhan, Jian Han

Institution: East China Jiaotong University

Language: English

Topic: Optimal Power Flow Distribution

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure, Climate action

Open Access status: gold

Estimated APC paid: $3,137