activity
20162021
most citedTwo-stage Deep Reinforcement Learning for Inverter-based Volt-VAR Control in Active Distribution Networks

6 citations · 19 across the 11 of their papers we have counts for

collaborators

18 papers

eess.SY20211 cited

A Scenario-oriented Approach to Multi-period Energy-Reserve Joint Procurement and Pricing

Jiantao Shi, Ye Guo, Lang Tong +2

In [1], a single-period co-optimization model of energy and reserve is considered to better illustrate the properties of the co-optimization model and the associated market mechani…

eess.SY2021

A Scenario-oriented Approach to Energy-Reserve Joint Procurement and Pricing

Jiantao Shi, Ye Guo, Lang Tong +2

We consider some crucial problems related to the secure and reliable operation of power systems with high renewable penetrations: how much reserve should we procure, how should res…

eess.SY20215 cited

Bi-level Off-policy Reinforcement Learning for Volt/VAR Control Involving Continuous and Discrete Devices

Haotian Liu, Wenchuan Wu

In Volt/Var control (VVC) of active distribution networks(ADNs), both slow timescale discrete devices (STDDs) and fast timescale continuous devices (FTCDs) are involved. The STDDs…

eess.SY20201 cited

Data-driven Model Predictive Control Method for DFIG-based Wind Farm to Provide Primary Frequency Regulation Service

Zizhen Guo, Wenchuan Wu

As wind power penetration increases, the wind farms are required by newly released grid codes to provide frequency regulation service. The most critical challenge is how to formula…

eess.SY20203 cited

A Nested Decomposition Method and Its Application for Coordinated Operation of Hierarchical Electrical Power Grids

Chenhui Lin, Wenchuan Wu

Multilevel, multiarea, and hierarchically interconnected electrical power grids confront substantial challenges with the increasing integration of many volatile energy resources. T…

eess.SY2020

A Quadratic Convex Approximation of Optimal Power Flow in Distribution System with Application in Loss Allocation

Tianshu Yang, Ye Guo, Lirong Deng +2

In this paper, a novel quadratic convex optimal power flow model, namely, MDOPF, is proposed to determine the optimal dispatches of distributed generators. Based on the results of…