Work

Two‐stage stochastic robust optimal scheduling of virtual power plant considering source load uncertainty

Year: 2024

Type: article

Abstract: Aiming at the optimal scheduling problem of virtual power plant (VPP) with multiple uncertainties on the source‐load side, this paper proposes a two‐stage stochastic robust optimal scheduling method considering the uncertainty of the source‐load side. This method combines the characteristics of robust optimization and stochastic optimization to model the source‐load uncertainty differentiation. The Wasserstein generative adversarial network with gradient penalty (WGAN‐GP) is used to generate electric and thermal load scenarios, and then K‐medoids clustering is used to obtain several typical scenarios. The min–max–min two‐stage stochastic robust optimization model is constructed, and the column constraint generation (C&CG) algorithm and dual theory are used to solve the problem, and the scheduling scheme with the lowest operating cost in the worst scenario is obtained.

Source: Engineering Reports

DOI: 10.1002/eng2.13005

Authors: Xiaohui Zhang, Yufei Liu

Institution: Shenyang Institute of Engineering

Language: English

Topic: Electric Power System Optimization

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

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

Open Access status: gold

Estimated APC paid: $1,970