Tuesday, October 1, 2024 - 4:00pm
Event Calendar Category
Other LIDS Events
Speaker Name
Hongbo Sun, Ph.D.
Building and Room number
45-500A
The power grid is designed as a three-phase alternating current (AC) system. To operate and control the grid effectively, it is crucial to know precisely how power sources and consumers are connected to its phases. Additionally, the three phases of the grid must be balanced as much as possible; otherwise, system stability, power quality, and equipment safety will be significantly compromised. This talk will cover two important topics for phase management in distribution systems: phase identification for loads without phase labels, and load phase reconfiguration for phase imbalance mitigation. First, we will present a data-driven method for phase identification, inspired by concepts from information theory. This method analyzes event signatures from customer locations and the feeder head, using data from smart meters. By examining the cross-entropy of their mutual information, it accurately identifies the correct phases for both wye and delta-connected loads. Next, we will introduce a data-driven approach for scheduling phase rebalancing over a finite horizon. Phase scheduling is formulated as a Markov Decision Process (MDP), and an Imitation Learning (IL) framework, implemented through Ensemble Random Forests, is used to streamline the process of sequential load phase swapping. The previously costly multi-objective optimization is now limited to steps where phase swapping is needed.
Dr. Hongbo Sun is currently a Senior Principal Research Scientist at Mitsubishi Electric Research Laboratories (MERL) in Cambridge, Massachusetts, USA. He received his Ph.D. degree in Electrical Engineering, specializing in Power Systems, from Chongqing University, China. His research areas include power transmission and distribution, power system operation and control, microgrids, hybrid AC/DC systems, and AI/ML applications.
The newly formed Energy Systems & Infrastructures: Modeling, Computing and Control (EIMC2) LIDS research group comprises 10 LIDS subgroups working in this field unique to LIDS–modeling, control, and computing. EIMC2 is launching a biweekly seminar series. The seminars will be help in 45-500A on Tuesdays, 4-5pm.