825 citations · 1.2k across the 22 of their papers we have counts for
22 papers
Misaka: Interactive Swarm Testbed for Smart Grid Distributed Algorithm Test and Evaluation
Tingliang Zhang, Haiwang Zhong, Zhenfei Tan +1
In this paper, we present Misaka, a visualized swarm testbed for smart grid algorithm evaluation, also an extendable open-source open-hardware platform for developing tabletop tang…
A Projection-Based Approach for Distributed Energy Resources Aggregation
Yiran Wang, Haiwang Zhong, Guangchun Ruan
Aggregating distributed energy resources (DERs) is of great significance to improve the overall operational efficiency of smart grid. The aggregation model needs to consider variou…
Life cycle economic viability analysis of battery storage in electricity market
Yinguo Yang, Yiling Ye, Zhuoxiao Cheng +4
Battery storage is essential to enhance the flexibility and reliability of electric power systems by providing auxiliary services and load shifting. Storage owners typically gains…
Real-time scheduling of renewable power systems through planning-based reinforcement learning
Shaohuai Liu, Jinbo Liu, Weirui Ye +8
The growing renewable energy sources have posed significant challenges to traditional power scheduling. It is difficult for operators to obtain accurate day-ahead forecasts of rene…
Look-Ahead AC Optimal Power Flow: A Model-Informed Reinforcement Learning Approach
Xinyue Wang, Haiwang Zhong, Guanglun Zhang +3
With the increasing proportion of renewable energy in the generation side, it becomes more difficult to accurately predict the power generation and adapt to the large deviations be…
Non-Iterative Solution for Coordinated Optimal Dispatch via Equivalent Projection-Part II: Method and Applications
Zhenfei Tan, Zheng Yan, Haiwang Zhong +1
This two-part paper develops a non-iterative coordinated optimal dispatch framework, i.e., free of iterative information exchange, via the innovation of the equivalent projection (…
Non-Iterative Solution for Coordinated Optimal Dispatch via Equivalent Projection-Part I: Theory
Zhenfei Tan, Zheng Yan, Haiwang Zhong +1
Coordinated optimal dispatch is of utmost importance for the efficient and secure operation of hierarchically structured power systems. Conventional coordinated optimization method…
Low-Carbon Economic Dispatch of Bulk Power Systems Using Nash Bargaining Game
Xuyang Li, Guangchun Ruan, Haiwang Zhong
Decarbonization of power systems plays a crucial role in achieving carbon neutral goals across the globe, but there exists a sharp contradiction between the emission reduction and…
Transmission Congestion Management with Generalized Generation Shift Distribution Factors
Shutong Pu, Guangchun Ruan, Xinfei Yan +1
A major concern in modern power systems is that the popularity and fluctuating characteristics of renewable energy may cause more and more transmission congestion events. Tradition…
Improving Sample Efficiency of Deep Learning Models in Electricity Market
Guangchun Ruan, Jianxiao Wang, Haiwang Zhong +2
The superior performance of deep learning relies heavily on a large collection of sample data, but the data insufficiency problem turns out to be relatively common in global electr…
Evaluation of Look-ahead Economic Dispatch Using Reinforcement Learning
Zekuan Yu, Guangchun Ruan, Xinyue Wang +3
Modern power systems are experiencing a variety of challenges driven by renewable energy, which calls for developing novel dispatch methods such as reinforcement learning (RL). Eva…
Carbon Monitor-Power: near-real-time monitoring of global power generation on hourly to daily scales
Biqing Zhu, Xuanren Song, Zhu Deng +13
We constructed a frequently updated, near-real-time global power generation dataset: Carbon Monitor-Power since January, 2016 at national levels with near-global coverage and hourl…
Open-Access Data and Toolbox for Tracking COVID-19 Impact on Power Systems
Guangchun Ruan, Zekuan Yu, Shutong Pu +5
Intervention policies against COVID-19 have caused large-scale disruptions globally, and led to a series of pattern changes in the power system operation. Analyzing these pandemic-…
Estimating Demand Flexibility Using Siamese LSTM Neural Networks
Guangchun Ruan, Daniel S. Kirschen, Haiwang Zhong +2
There is an opportunity in modern power systems to explore the demand flexibility by incentivizing consumers with dynamic prices. In this paper, we quantify demand flexibility usin…
Short-Term Electricity Price Forecasting based on Graph Convolution Network and Attention Mechanism
Yuyun Yang, Zhenfei Tan, Haitao Yang +2
In electricity markets, locational marginal price (LMP) forecasting is particularly important for market participants in making reasonable bidding strategies, managing potential tr…
Global Daily CO emissions for the year 2020
Zhu Liu, Zhu Deng, Philippe Ciais +25
The diurnal cycle CO emissions from fossil fuel combustion and cement production reflect seasonality, weather conditions, working days, and more recently the impact of the COVI…
Quantitative Assessment of U.S. Bulk Power Systems and Market Operations during COVID-19
Guangchun Ruan, Jiahan Wu, Haiwang Zhong +2
Starting in early 2020, the novel coronavirus disease (COVID-19) severely affected the U.S., causing substantial changes in the operations of bulk power systems and electricity mar…
De-carbonization of global energy use during the COVID-19 pandemic
Zhu Liu, Biqing Zhu, Philippe Ciais +15
The COVID-19 pandemic has disrupted human activities, leading to unprecedented decreases in both global energy demand and GHG emissions. Yet a little known that there is also a low…
Review of Learning-Assisted Power System Optimization
Guangchun Ruan, Haiwang Zhong, Guanglun Zhang +3
With dramatic breakthroughs in recent years, machine learning is showing great potential to upgrade the toolbox for power system optimization. Understanding the strength and limita…
Carbon Monitor: a near-real-time daily dataset of global CO2 emission from fossil fuel and cement production
Zhu Liu, Philippe Ciais, Zhu Deng +15
We constructed a near-real-time daily CO2 emission dataset, namely the Carbon Monitor, to monitor the variations of CO2 emissions from fossil fuel combustion and cement production…
A Cross-Domain Approach to Analyzing the Short-Run Impact of COVID-19 on the U.S. Electricity Sector
Guangchun Ruan, Dongqi Wu, Xiangtian Zheng +5
The novel coronavirus disease (COVID-19) has rapidly spread around the globe in 2020, with the U.S. becoming the epicenter of COVID-19 cases since late March. As the U.S. begins to…
COVID-19 causes record decline in global CO2 emissions
Zhu Liu, Philippe Ciais, Zhu Deng +37
The considerable cessation of human activities during the COVID-19 pandemic has affected global energy use and CO2 emissions. Here we show the unprecedented decrease in global foss…