61 citations · 100 across the 17 of their papers we have counts for
17 papers
Improved Inner Approximation for Aggregating Power Flexibility in Active Distribution Networks and its Applications
Yilin Wen, Zechun Hu, Jinhua He +1
Concise and reliable modeling for aggregating power flexibility of distributed energy resources in active distribution networks (ADNs) is a crucial technique for coordinating trans…
Tractable Data Enriched Distributionally Robust Chance-Constrained CVR
Qianzhi Zhang, Fankun Bu, Yi Guo +1
This paper proposes a tractable distributionally robust chance-constrained conservation voltage reduction (DRCC-CVR) method with enriched data-based ambiguity set in unbalanced thr…
Online Feedback Droop Scheduling in Distribution Grids for Frequency and Local Voltage Control
Ognjen Stanojev, Yi Guo, Gabriela Hug
This paper presents a novel framework for collective control of Distributed Energy Resources (DERs) in active Distribution Networks (DNs). The proposed approach unifies the commonl…
An Online Joint Optimization-Estimation Architecture for Distribution Networks
Yi Guo, Xinyang Zhou, Changhong Zhao +3
In this paper, we propose an optimal control-estimation architecture for distribution networks, which jointly solves the optimal power flow (OPF) problem and static state estimatio…
Multiple Ancillary Services Provision by Distributed Energy Resources in Active Distribution Networks
Ognjen Stanojev, Yi Guo, Petros Aristidou +1
The electric power system is currently experiencing radical changes stemming from the increasing share of renewable energy resources and the consequent decommissioning of conventio…
Incorporate Day-ahead Robustness and Real-time Incentives for Electricity Market Design
Yi Guo, Xuejiao Han, Xinyang Zhou +1
In this paper, we propose a two-stage electricity market framework to explore the participation of distributed energy resources (DERs) in a day-ahead (DA) market and a real-time (R…
Revisiting the Water Quality Sensor Placement Problem: Optimizing Network Observability and State Estimation Metrics
Ahmad F. Taha, Shen Wang, Yi Guo +4
Real-time water quality (WQ) sensors in water distribution networks (WDN) have the potential to enable network-wide observability of water quality indicators, contamination event d…
Optimal Pump Control for Water Distribution Networks via Data-based Distributional Robustness
Yi Guo, Shen Wang, Ahmad Taha +1
In this paper, we propose a data-based methodology to solve a multi-period stochastic optimal water flow (OWF) problem for water distribution networks (WDNs). The framework explici…
Optimal Power Flow with State Estimation In the Loop for Distribution Networks
Yi Guo, Xinyang Zhou, Changhong Zhao +2
We propose a framework for integrating optimal power flow (OPF) with state estimation (SE) in the loop for distribution networks. Our approach combines a primal-dual gradient-based…
Solving Optimal Power Flow for Distribution Networks with State Estimation Feedback
Yi Guo, Xinyang Zhou, Changhong Zhao +3
Conventional optimal power flow (OPF) solvers assume full observability of the involved system states. However, in practice, there is a lack of reliable system monitoring devices i…
Gradient-Based Multi-Area Distribution System State Estimation
Xinyang Zhou, Zhiyuan Liu, Yi Guo +3
The increasing distributed and renewable energy resources and controllable devices in distribution systems make fast distribution system state estimation (DSSE) crucial in system m…
Stochastic Dynamic Programming for Wind Farm Power Maximization
Yi Guo, Mario Rotea, Tyler Summers
Wind farms can increase annual energy production (AEP) with advanced control algorithms by coordinating the set points of individual turbine controllers across the farm. However, i…
Sparse optimal control of networks with multiplicative noise via policy gradient
Benjamin Gravell, Yi Guo, Tyler Summers
We give algorithms for designing near-optimal sparse controllers using policy gradient with applications to control of systems corrupted by multiplicative noise, which is increasin…
A Performance and Stability Analysis of Low-inertia Power Grids with Stochastic System Inertia
Yi Guo, Tyler H. Summers
Traditional synchronous generators with rotational inertia are being replaced by low-inertia renewable energy resources (RESs) in many power grids and operational scenarios. Due to…
Data-based Distributionally Robust Stochastic Optimal Power Flow, Part I: Methodologies
Yi Guo, Kyri Baker, Emiliano Dall'Anese +2
We propose a data-based method to solve a multi-stage stochastic optimal power flow (OPF) problem based on limited information about forecast error distributions. The framework exp…
Data-based Distributionally Robust Stochastic Optimal Power Flow, Part II: Case studies
Yi Guo, Kyri Baker, Emiliano Dall'Anese +2
This is the second part of a two-part paper on data-based distributionally robust stochastic optimal power flow (OPF). The general problem formulation and methodology have been pre…
Stochastic Optimal Power Flow Based on Data-Driven Distributionally Robust Optimization
Yi Guo, Kyri Baker, Emiliano Dall'Anese +2
We propose a data-driven method to solve a stochastic optimal power flow (OPF) problem based on limited information about forecast error distributions. The objective is to determin…