activity
20162026
most citedMulti-Interval Rolling-Window Joint Dispatch and Pricing of Energy and Reserve under Uncertainty

1 citations · 3 across the 21 of their papers we have counts for

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26 papers · 1 filter

eess.SY2026

Curtail Renewables to Enhance Flexibility: A Regulated Forecast-based Dispatch Approach

Zhiyi Zhao, Ye Guo, Zhenjia Lin +1

This paper considers the flexibility degradation problem caused by excessive flexible ramping product (FRP) requirements with high variable energy resource (VER) penetration}. Base…

eess.SY2024

Bidding and Dispatch Strategies with Flexibility Quantification and Pricing for Electric Vehicle Aggregator in Joint Energy-Regulation Market

Manqi Xu, Ye Guo, Hongbin Sun

Managing and unlocking the flexibility hidden in electric vehicles (EVs) has emerged as a critical yet challenging task towards low-carbon power and energy systems. This paper focu…

eess.SY2024

Optimal Operation of Distribution System Operator and the Impact of Peer-to-Peer Transactions

Hanyang Lin, Ye Guo, Firdous Ul Nazir +3

Peer-to-peer (P2P) energy trading, commonly recognized as a decentralized approach, has emerged as a popular way to better utilize distributed energy resources (DERs). In order to…

eess.SY2024

Energy Internet: A Standardization-Based Blueprint Design

Ye Guo, Hanyang Lin, Hongbin Sun

The decarbonization of power and energy systems faces a bottleneck: The enormous number of user-side resources cannot be properly managed and operated by centralized system operato…

eess.SY20241 cited

Capturing Opportunity Costs of Batteries with a Staircase Supply-Demand Function

Ye Guo, Chenge Gao, Cong Chen

In the global pursuit of carbon neutrality, the role of batteries is indispensable. They provide pivotal flexibilities to counter uncertainties from renewables, preferably by parti…

eess.SY2024

Residual Deep Reinforcement Learning for Inverter-based Volt-Var Control

Qiong Liu, Ye Guo, Lirong Deng +3

A residual deep reinforcement learning (RDRL) approach is proposed by integrating DRL with model-based optimization for inverter-based volt-var control in active distribution netwo…