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20202024
most citedConservative Sparse Neural Network Embedded Frequency-Constrained Unit Commitment With Distributed Energy Resources

29 citations · 34 across the 14 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

eess.SY2023

Dynamic Operating Envelopes Embedded Peer-to-Peer-to-Grid Energy Trading

Zhisen Jiang, Ye Guo, Hongbin Sun +1

A novel decentralized peer-to-peer-to-grid (P2P2G) trading mechanism considering distribution network integrity is proposed. In order to direct prosumers' peer-to-peer (P2P) tradin…

eess.SY2023

An Adaptive Approach for Probabilistic Wind Power Forecasting Based on Meta-Learning

Zichao Meng, Ye Guo, Hongbin Sun

This paper studies an adaptive approach for probabilistic wind power forecasting (WPF) including offline and online learning procedures. In the offline learning stage, a base forec…

eess.SY2023★ 1 cited

Multi-Interval Rolling-Window Joint Dispatch and Pricing of Energy and Reserve under Uncertainty

Jiantao Shi, Ye Guo, Wenchuan Wu +1

In this paper, the intra-day multi-interval rolling-window joint dispatch and pricing of energy and reserve is studied under increasing volatile and uncertain renewable generations…

eess.SY2023

Encoding Carbon Emission Flow in Energy Management: A Compact Constraint Learning Approach

Linwei Sang, Yinliang Xu, Hongbin Sun

Decarbonizing the energy supply is essential and urgent to mitigate the increasingly visible climate change. Its basis is identifying emission responsibility during power allocatio…

eess.SY2023★ 29 cited

Conservative Sparse Neural Network Embedded Frequency-Constrained Unit Commitment With Distributed Energy Resources

Linwei Sang, Yinliang Xu, Zhongkai Yi +3

The increasing penetration of distributed energy resources (DERs) will decrease the rotational inertia of the power system and further degrade the system frequency stability. To ad…

eess.SY2023★ 1 cited

On Degeneracy Issues in Multi-parametric Programming and Critical Region Exploration based Distributed Optimization in Smart Grid Operations

Haitian Liu, Ye Guo, Hao Liu

Improving renewable energy resource utilization efficiency is crucial to reducing carbon emissions, and multi-parametric programming has provided a systematic perspective in conduc…