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20172020
most citedRethink AI-based Power Grid Control: Diving Into Algorithm Design

5 citations · 15 across the 9 of their papers we have counts for

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math.OC20201 cited

On Training Effective Reinforcement Learning Agents for Real-time Power Grid Operation and Control

Ruisheng Diao, Di Shi, Bei Zhang +6

Deriving fast and effectively coordinated control actions remains a grand challenge affecting the secure and economic operation of today's large-scale power grid. This paper presen…

math.OC2019

Community Microgrid Planning Considering Building Thermal Dynamics

Xiaohu Zhang, Desong Bian, Di Shi +2

In this paper, the building thermal dynamic characteristics are introduced in the community microgrid (MG) planning model. The proposed planning model is formulated as a mixed inte…

math.OC2019

Adaptive Robust Energy Management Strategy for Campus-Based Commercial Buildings Considering Comprehensive Comfort Levels

Zheming Liang, Desong Bian, Dawei Su +4

Neglecting consumers' comfort always leads to failure or slow-response to demand response request. In this paper, we propose several comprehensive comfort level models for various…

math.OC20182 cited

Optimal Energy Management for Commercial Buildings Considering Comprehensive Comfort Levels in a Retail Electricity Market

Zheming Liang, Desong Bian, Xiaohu Zhang +3

Demand response has been implemented by distribution system operators to reduce peak demand and mitigate contingency issues on distribution lines and substations. Specifically, the…

math.OC20175 cited

Bilevel Optimization Based Transmission Expansion Planning Considering Phase Shifting Transformer

Xiaohu Zhang, Di Shi, Zhiwei Wang +4

In this paper, the phase shifting transformer (PST) is introduced in the Transmission Expansion Planning (TEP) problem considering significant wind power integration. The proposed…