activity
20172023
most citedScenario Generation of Wind Farm Power for Real-Time System Operation

8 citations · 18 across the 6 of their papers we have counts for

collaborators

6 papers

eess.SY2023

A Computational Efficient Pumped Storage Hydro Optimization in the Look-ahead Unit Commitment and Real-time Market Dispatch Under Uncertainty

Bing Huang, Arezou Ghesmati, Yonghong Chen +1

Pumped storage hydro units (PSHU) are great sources of flexibility in power systems. This is especially valuable in modern systems with increasing shares of intermittent renewable…

stat.AP2021★ 8 cited

Scenario Generation of Wind Farm Power for Real-Time System Operation

Trevor Werho, Junshan Zhang, Vijay Vittal +3

This work proposes a method of wind farm scenario generation to support real-time optimization tools and presents key findings therein. This work draws upon work from the literatur…

eess.SY2020★ 3 cited

A Configuration Based Pumped Storage Hydro Model in MISO Day-Ahead Market

Bing Huang, Yonghong Chen, Ross Baldick

Pumped storage hydro units (PSHU) can provide flexibility to power systems. This becomes particularly valuable in recent years with the increasing shares of intermittent renewable…

eess.SY2019

An Extended Integral Unit Commitment Formulation and an Iterative Algorithm for Convex Hull Pricing

Yanan Yu, Yongpei Guan, Yonghong Chen

To increase market transparency, independent system operators (ISOs) have been working on minimizing uplift payments based on convex hull pricing theorems. However, the large-scale…

eess.SY2019★ 4 cited

An Integral Formulation and Convex Hull Pricing for Unit Commitment

Yanan Yu, Yongpei Guan, Yonghong Chen

Reducing uplift payments has been a challenging problem for most wholesale markets in US. The main difficulty comes from the unit commitment discrete decision makings. Recently con…

math.OC2017★ 3 cited

A Tight Configuration-Component Based Hybrid Model for Combined-Cycle Units in MISO Day-Ahead Market

Chenxi Dai, Yonghong Chen, Fengyu Wang +2

This paper proposes a hybrid CCGT model for day-ahead market clearing, in order to enhance operation flexibility of CCGTs in practice. The proposed hybrid model, by taking benefits…