135 citations · 497 across the 36 of their papers we have counts for
36 papers
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…
A Dynamic Equivalent Energy Storage Model of Natural Gas Networks for Joint Optimal Dispatch of Electricity-Gas Systems
Siyuan Wang, Wenchuan Wu, Chenhui Lin +1
The development of energy conversion techniques enhances the coupling between the gas network and power system. However, challenges remain in the joint optimal dispatch of electric…
Safety-aware Semi-end-to-end Coordinated Decision Model for Voltage Regulation in Active Distribution Network
Linwei Sang, Yinliang Xu, Huan Long +1
Prediction plays a vital role in the active distribution network voltage regulation under the high penetration of photovoltaics. Current prediction models aim at minimizing individ…
A Spatio-temporal Decomposition Method for the Coordinated Economic Dispatch of Integrated Transmission and Distribution Grids
Qi Wang, Wenchuan Wu, Chenhui Lin +1
With numerous distributed energy resources (DERs) integrated into the distribution networks (DNs), the coordinated economic dispatch (C-ED) is essential for the integrated transmis…
Parallel Computing Based Solution for Reliability-Constrained Distribution Network Planning
Yaqi Sun, Wenchuan Wu, Yi Lin +2
The main goal of distribution network (DN) expansion planning is essentially to achieve minimal investment constrained with specified reliability requirements. The reliability-cons…
Joint Chance-Constrained Economic Dispatch Involving Joint Optimization of Frequency-related Inverter Control and Regulation Reserve Allocation
Ye Tian, Zhengshuo Li, Wenchuan Wu +1
The issues of uncertainty and frequency security could become significantly serious in power systems with the high penetration of volatile inverter-based renewables (IBRs). These i…
Optimal Allocation of Virtual Inertia and Droop Control for Renewable Energy in Stochastic Look-Ahead Power Dispatch
Yukang Shen, Wenchuan Wu, Shumin Sun +1
To stabilize the frequency of the renewable energy sources (RESs) dominated power system, frequency supports are required by RESs through virtual inertia emulation or droop control…
Energy Circuit-based Integrated Energy Management System: Theory, Implementation, and Application
Binbin Chen, Qinglai Guo, Guanxiong Yin +5
Integrated energy systems (IESs), in which various energy flows are interconnected and coordinated to release potential flexibility for more efficient and secure operation, have dr…
An Efficient Optimal Energy Flow Model for Integrated Energy Systems Based on Energy Circuit Modeling in the Frequency Domain
Binbin Chen, Wenchuan Wu, Qinglai Guo +1
With more energy networks being interconnected to form integrated energy systems (IESs), the optimal energy flow (OEF) problem has drawn increasing attention. Extant studies on OEF…
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…
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…
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…
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…
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…
Data-driven Inverter-based Volt/VAr Control for Partially Observable Distribution Networks
Tong Xu, Wenchuan Wu, Yiwen Hong +2
For active distribution networks (ADNs) integrated with massive inverter-based energy resources, it is impractical to maintain the accurate model and deploy measurements at all nod…
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…
A Linear Branch Flow Model for Radial Distribution Networks and its Application to Reactive Power Optimization and Network Reconfiguration
Tianshu Yang, Ye Guo, Lirong Deng +2
This paper presents a cold-start linear branch flow model named modified DistFlow. In modified DistFlow, the active and reactive power are replaced by their ratios to voltage magni…
Stochastic Flexibility Evaluation for Virtual Power Plant by Aggregating Distributed Energy Resources
Siyuan Wang, Wenchuan Wu
To manage huge amount of flexible distributed energy resources (DERs) in the distribution networks, the virtual power plant (VPP) is introduced in industry. The VPP can optimally d…
Online Multi-agent Reinforcement Learning for Decentralized Inverter-based Volt-VAR Control
Haotian Liu, Wenchuan Wu
The distributed Volt/Var control (VVC) methods have been widely studied for active distribution networks(ADNs), which is based on perfect model and real-time P2P communication. How…
Two-stage Deep Reinforcement Learning for Inverter-based Volt-VAR Control in Active Distribution Networks
Haotian Liu, Wenchuan Wu
Model-based Vol/VAR optimization method is widely used to eliminate voltage violations and reduce network losses. However, the parameters of active distribution networks(ADNs) are…
Linear Programming Contractor for Interval Distribution State Estimation Using RDM Arithmetic
VietCuong Ngo, Wenchuan Wu
State estimation (SE) of distribution networks heavily relies on pseudo measurements that introduce significant errors, since real-time measurements are insufficient. Interval SE m…
An optimal dispatch scheme for DSO and prosumers by implementing three-phase distribution locational marginal prices
Jiaqi Chen, Ye Guo, Wenchuan Wu
Since distribution system operator (DSO) cannot directly control prosumers with controllable resources,this paper proposes an optimal dispatch method of using three-phase distribut…
Stochastic Dispatch of Energy Storage in Microgrids: An Augmented Reinforcement Learning Approach
Yuwei Shang, Wenchuan Wu, Jianbo Guo +4
The dynamic dispatch (DD) of battery energy storage systems (BESSs) in microgrids integrated with volatile energy resources is essentially a multiperiod stochastic optimization pro…
Analytical Solution for Stochastic Unit Commitment Considering Wind Power Uncertainty with Gaussian Mixture Model
Yue Yang, Wenchuan Wu, Bin Wang +1
To capture the stochastic characteristics of renewable energy generation output, the chance-constrained unit commitment (CCUC) model is widely used. Conventionally, analytical solu…