A two-stage scheduling method for virtual power plants considering ultra-short-term forecasting errors
Open accessAbstract
The intermittency and randomness of distributed energy resources (DER) present challenges to power system stability. Virtual Power Plants (VPPs) address this by coordinating internal resources, reducing imbalance risks, and improving energy and economic efficiency. This paper introduces a two-stage VPPs scheduling model using a sequence-to-sequence(seq2seq) model with an Attention mechanism for rolling error correction of renewable energy output. Aggregating flexible resources such as electric vehicles (EV) and hydrogen storage systems (HSS), the model applies Model Predictive Control (MPC) for intra-day rolling optimization. Case studies show the proposed method reduces total costs by 7.59% compared to methods without error correction, 1.08% relative to those without EV, and 0.98% against those without HSS, enhancing VPPs scheduling’s economic efficiency and flexibility.
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Most aggregator studies focus on large-scale or regional grid services, with less attention paid to localized overloads at individual transformers.
“First, most aggregator studies focus on large-scale or regional grid services, with less attention paid to localized overloads at individual transformers [9][10][11].”
From A Multi-Agent, Laxity-Based Aggregation Strategy for Cost-Effective Electric Vehicle Charging and Local Transformer Overload Prevention (2025) · cites this paper as [9]
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Christensen, K., Jørgensen, B. N., & Ma, Z. G. (2025) · Sustainability · doi:10.3390/su17093847 · Cited by 8 · see citing works
- Authors
- Sun, W., Li, Y., Zhang, K., Zheng, X., & Ye, C.
- Affiliations
- State Grid Zhejiang Electric Power Company (China) (CN)
- Zhejiang University (CN)
- Venue
- Journal of Physics: Conference Series
- Publisher
- IOP Publishing
- Published
- 2025-01-01
- Volume
- 2936
- Issue
- 1
- Pages
- 012009
- ISSN
- 1742-6588 (ISSN-L)
- 1742-6596
- OpenAlex
- W4406766230
- Cited by
- 1
- References
- 0
- Citations by year
- 2025: 1
- FWCI
- 2.18
- Type
- conference paper
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- Journal of Physics Conference Series (publishedVersion, cc-by)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Power System Optimization
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Integrated Energy Systems Optimization
- Keywords
- virtual power plants, two-stage scheduling, sequence-to-sequence models, attention mechanism, error correction, model predictive control, electric vehicles, hydrogen storage systems, distributed energy resources, cost reduction
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