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A Chebyshev’s Inequality-based Distributionally Robust Chance-Constrained Model for Distribution Network Reactive Power Optimization

Year: 2025

Type: conference-paper

Abstract: This paper primarily examines the effects of integrating distributed generation (DG) on voltage and reactive power control within distribution networks. It introduces a distributionally robust chance-constrained (DRCC) model that employs Chebyshev’s inequality to optimize reactive power. To account for the variability inherent in renewable energy resources, a moment-based fuzzy set approach is utilized. Furthermore, the DRCC model is reformulated using a method grounded in Chebyshev’s inequality. The numerical results demonstrate that the proposed approach significantly enhances the voltage profile and minimizes energy losses.

Source: Journal of Physics Conference Series

DOI: 10.1088/1742-6596/3012/1/012085

Authors: Kun Yang, Dan Yang, Zhi Zhang, Shengjian Zeng, Conghao Wang, Jian Li, Man Huang, Bin Li, Xijun Gou, Xin Wang, Qian Liu, Yan Zou

Institutions: State Grid Sichuan Electric Power Corporation (China), Southwest Petroleum University

Language: English

Topic: Optimal Power Flow Distribution

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

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

Open Access status: diamond

OpenAlex ID: W4411342473

FWCI:

Cites: 1

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Related to: 10