activity
20172020
most citedDeep Reinforcement Learning Based Volt-VAR Optimization in Smart Distribution Systems

9 citations · 14 across the 4 of their papers we have counts for

collaborators

5 papers

eess.SP2020

Evaluating Load Models and Their Impacts on Power Transfer Limits

Xinan Wang, Yishen Wang, Di Shi +4

Power transfer limits or transfer capability (TC) directly relate to the system operation and control as well as electricity markets. As a consequence, their assessment has to comp…

eess.SY20209 cited

Deep Reinforcement Learning Based Volt-VAR Optimization in Smart Distribution Systems

Ying Zhang, Xinan Wang, Jianhui Wang +1

This paper develops a model-free volt-VAR optimization (VVO) algorithm via multi-agent deep reinforcement learning (MADRL) in unbalanced distribution systems. This method is novel…

eess.SY2019

Two-stage WECC Composite Load Modeling: A Double Deep Q-Learning Networks Approach

Xinan Wang, Yishen Wang, Di Shi +2

With the increasing complexity of modern power systems, conventional dynamic load modeling with ZIP and induction motors (ZIP + IM) is no longer adequate to address the current loa…

eess.SP2019

A Stacked Autoencoder Application for Residential Load Curve Forecast and Peak Shaving

Xinan Wang, Yishen Wang, Di Shi +1

For the last ten years, utilities have observed on-going transitions on consumers' load curves. The previously flat load curves have more frequently turned into duck-shape. This is…

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…