I am looking for self-motivated Ph.D. students with strong background and interests in the following research areas:

• Learning Dynamic and Steady-state Models for DER-penetrated Distribution Systems

In this project, we will work on physics-guided machine learning approaches to identify the dynamic and steady-state models for the DER-penetrated distribution systems. Candidates are expected to have solid background in one (or more) of the following areas: machine learning, system identification, dynamic systems, graph theory, power system dynamic load modeling, and power system state estimation.

• Optimal Coordination between Wholesale Market Operation, Distribution System Operation, and DER Aggregation

In this project, we will work on computational algorithms, market designs, and pricing/bidding designs for online coordination between the wholesale market operation and distribution system operation, toward ensuring reliable and economic integration of massive DERs. Candidates are expected to have strong background in one (or more) of the following areas: optimization, economics, graph theory, machine learning, electricity market clearing/bidding, and distribution system operation.

If interested, please send me your detailed CV, undergraduate/graduate transcripts, and publications that cannot be found online. Please also apply to the Ph.D. program.

Arizona State University (ASU) is the lead university in the Power Systems Engineering Research Center (PSERC), which includes 13 universities and 39 industrial members. U.S. News & World Report ranked ASU 1st among the "Most Innovative Schools" in America consistently for the past 7 years (2015-2021). ASU School of Electrical, Computer and Energy Engineering (ECEE) is ranked 27th in the U.S. in 2021. ASU locates near the City of Phoenix, AZ. Phoenix is the state capital and the 5th most populous city in the United State.

Our group hosts ASU undergraduate and Master's students through Fulton Undergraduate Research Initiative (FURI), Master’s Opportunity for Research in Engineering (MORE), and Barrett The Honors College Thesis.

If interested, please send me a brief description of your research interest, your detailed CV, undergraduate/graduate transcripts, and publications that cannot be found online. We can then set up an initial meeting to discuss possible research collaborations and opportunities.

If interseted in visiting ASU and collaborating on our active research projects, please send me your detailed CV, undergraduate/graduate transcripts, and publications that cannot be found online. We can then set up an initial meeting to discuss possible research collaborations and opportunities.

• [07/2023]   PhD student Zhongxia Zhang successfully defended his PhD dissertation.

• [06/2023]   Our recent work will be presented at 2023 IEEE PES General Meeting: Real-Time Locational Marginal Price Forecast: A Decision Transformer-Based Approach.

• [05/2023]   PhD student Mohammad Mousavi will join Quanta Technology for his summer internship.

• [05/2023]   MS student Sayyid Mohssen Sajjadi obtained his MS degree and will join Arizona Public Service.

• [01/2023]   Two projects got funded by PSERC. Excited to start our new research on 'Toward Large-Scale DER Aggregation: Competitive Aggregation, Operation Support, and ISO-Aggregator-Utility Coordinatoin' and 'Adaptive Transmission and Distribution Modeling and Simulation Tools for Supporting Integration and Operation of High Penetration of DERs'.

• [12/2022]   Slides for the invited talks at NREL 5th Workshop on Autonomous Energy Systems and Department Seminar at Temple University: Toward Future Electricity Markets with Massive DER Penetration and Optimal Transmission-Distribution Coordination.

• [09/2022]   Honored to be an invited general participant of 2021 US Frontiers of Engineering (FOE) Symposium held by US National Academy of Engineering (NAE), Irvine, CA.

• [06/2022]   Two recent works will be presented at 2022 IEEE PES General Meeting: 1) ISO and DSO Coordination: A Parametric Programming Approach; and 2) Energy Price Prediction Considering Generation Bids Variation: A Two-Stage Convolutional Long Short-Term Memory Approach.

• [09/2021]   Ph.D. student Reza Khalilisenobari will give an invited talk at WECC Studies Subcommittee Meeting on Adaptive Stochastic Expansion Planning of SRP Grid.

• [07/2021]   M.S. student Adriana Cisco Sullberg will give an invited talk at NERC Load Model Task Force (LMTF) Meeting on Examination of Composite Load and Variable Frequency Drive Air Conditioning Modeling on FIDVR.

• [07/2021]   Our paper got selected in the Best Papers on Bulk Power Generation and Transmission Session of 2021 IEEE PES General Meeting: Locational Marginal Price Forecasting Using Convolutional Long-Short Term Memory-Based Generative Adversarial Network.

• [03/2020]   Slides for the PSERC Webinar: Energy Market Participation and DER Aggregators: Energy Arbitrage, Retail Market Design, and Electricity Price Forecasting.

• [09/2019]   Our paper got selected in the Best Conference Papers Session of 2019 North American Power Symposium: Optimal Participation of Price Maker Battery Energy Storage Systems in Energy, Reserve and Pay as Performance Regulation Markets.

• [12/2018]   Slides for the NASPI and NERC talks on the automated power plant model verification (APPMV) tool we developed for online services at ISO New England are available here: 1) NASPI Talk by ISO New England; 2)NASPI Talk by ASU; and 3) NERC Talk by ISO New England.

• [06/2018]   Honored to give an invited talk at China Electric Power Research Institute (CEPRI) on 'Physics-Based and Data-Driven Analytics for Enhanced Planning and Operations in Power Systems with Deep Renewable Penetration'.