Power System Operation Analysis

Dr. Geng is offering the course of Power System Operation Analysis in Fall 2018. This course is offered in English (incl. lectures, assignments and projects) to graduate students with the research focus on power systems, at College of Electrical Engineering, Zhejiang University.

All international students in the program of electrical engineering are encouraged to take this course to fulfill graduate degree credit requirement. Domestic students are also welcome, since this course is expected to be replacable to the course with the same name but given in Chinese.

This course was supported in part by 2020 ZJU Graduate School Course Textbook Sponsorship.

Spring 2022: Yes, this course is offered offline as normal.

Spring 2021: Due to temporary job change, the course is offered online during weekends.

Spring 2020: Due to the impact of coronavirus, the course is offered online. Please find the course page on Learning in ZJU.

Fall 2018: Please find the syllabus of the course here. [Syllabus-Fall2018.pdf]


Computational Methods

This course is offered to second-year undergraduate students with the major of Electrical Engineering and its Automation, at College of Electrical Engineering, Zhejiang University.

As the course is given in Chinese, please refer to Chinese page for details.

Spring 2022: Yes, this course is offered offline as normal.

Spring 2021: Due to temporary job change, the class instructed by Dr. Geng is cancelled. Please consider to attend Dr. Huanhai Xin's or Dr. Taiying Zheng's classes instead.

Spring 2020: Due to the impact of coronavirus, the course is offered online. Please find the course page on Learning in ZJU.

Spring 2019: Please find the slides, homeworks and lab instructions of this course from this ZJU Cloud Sharing Link, ZJU account login will be required.


Senior Design

Dr. Geng offers multiple senior design positions in his research group for fourth-year undergraduate students. The areas and typical topics (all with background in electrical engineering) include:


For the students enrolled in the senior design, office and lab space will be provided. You will take advantage of the facility at our lab. Necessary reimbursement for research material expense will be offered.

Feel free to contact Dr. Geng if you have interest in any topics above.

Senior Design Projects Advising in 2021-2022

  1. Business Scheme of Shared Energy Storage: Design and Analysis, 3180106062.
  2. Online Learning and Distributed Control for Residential Demand Response, 3180106101.
  3. Operational Bottleneck Identification and Energy Storage Allocation Software: Design and Development, 3180102811.
  4. Parallel Computing for Power System Dynamic State Estimation, 3180105674.
  5. Battery Degradation Mechanism Analysis and Modelling for Battery Energy Storage Systems (Co-Advisor), 3180103319.
  6. Characteristic Feature Analysis Method Design for Non-Intrusive Load Monitoring (Co-Advisor), 3180101854.
  7. Operational Data Visualization System Development for Battery Energy Storage System (Co-Advisor), 3180102266.
  8. Demand Response Transaction System Design based on Blockchain (Co-Advisor), 3180105859.

Senior Design Projects Advising in 2020-2021

  1. Design and Development of Power System Internet of Things Simulator, 3170105098.
  2. Design and Development of Scale-Down Test Bed for Battery Energy Storage Systems, 3170102365.
  3. SCADA Data System Design for Battery Energy Storage Systems, 3170104126.
  4. Consensus based Distributed Energy Management Algorithm Development for Microgrid, 3170105813.
  5. Data Driven Electricity Usage Prediction for Campus-level Microgrid, 3170105676.
  6. Artificial Intelligence based Dynamic Parameter Estimation for Synchronous Generator (Co-Advisor), 3170100968.
  7. Interactive Front-End Design and Development for Cloud-based Electricity Utilization Monitoring System of Smart Community (Co-Advisor), 3170105351.
  8. Structure Design and Prototype Development of IoT Sensing Device for Low-Voltage Distribution System (Co-Advisor), 3170104779.
  9. Big Data Analytics Algorithm for Battery Energy Storage System Secure Operation (Co-Advisor), 3170105057.
  10. Operational Flexibility Assessment and Energy Storage Dispatch Algorithm Development for Distribution Systems (Co-Advisor), 3170102626.

Senior Design Projects Advising in 2019-2020

  1. Solar Generation Prediction using Multi-Sources Heterogeneous Data Fusion, 3160103070.
  2. Fast Inference of Power System Small-Signal Stability using Artificial Intelligence, 3150105814.
  3. Energy Storage Requirement Assessment for Urban Active Distribution Network, 3160100820.
  4. Non-Invasive Multi-Conductor Current Sensor Development for Internet of Things in Power Systems, 3160102130.
  5. Load Data Acquisition and its System Design based on Power Line Communication (Co-Advisor), 3160104238.
  6. Load Data Integration and Profiling based on Time-Series Database (Co-Advisor), 3160105852.
  7. Low-Voltage Load Deep Awareness based on Big Data Technology (Co-Advisor), 3160103029.

Senior Design Projects Advising in 2018-2019

  1. Deep and Synthetic Awareness for Low-Voltage Electric Loads, 3150104051.
  2. Edge-Cloud Interactive Computational Platform for Smart Electricity Utilization, 3150104276.
  3. Harmonic Source Tracing in Distribution Network using Sensor Network, 3150103573.
  4. Energy Storage Optimal Allocation Method and Planning Tools Development, 3150102968.
  5. Distrbuted and Coordinated Control for Active Distribution Network with Soft Opening Switches (Co-Advisor), 3150104056.
  6. Power System Uncertainty Analysis using Quantum Computing (Co-Advisor), 3130103878.
  7. Batched Data Generation Algorithm Development for Power System Study (Co-Advisor), 3150300083.

Senior Design Projects Advising in 2017-2018

  1. Non-Invasive Power Quality Monitor Development for Home Electric Appliances, 3140104214.
  2. Long-Distance Contactless Current Sensor Design for Transmission/Distribution Lines, 3140103340.
  3. Dynamic State Estimation using Kalman Filter for Power Systems (Co-Advisor), 3140103109.
  4. Transmission Line Fault Locating based on Embedded Artificial Intelligence (Co-Advisor), 3140103879.
  5. Non-parametric Bayesian Neuron Classification Algorithm (Co-Advisor), 3140100684.

Student Research Training Program (SRTP)

Please refer to the topics in senior design if you are looking for an SRTP project (and/or advisor). Feel free to contact Dr. Geng if you like working in related areas for your SRTP project.

SRTP Advising in 2020-2021

  1. Non-Invasive Energy Storage Battery Health Condition Sensor, 2021R401050
  2. Non-Intrusive Low-Voltage Cable Condition Monitoring Sensor, 2021R401049
  3. Mini-Simulator of Battery Energy Storage System, X20210124
  4. Health Evaluation Device based on Infrared Thermal Imaging (Co-Advisor), 2021R401046

SRTP Advising in 2020-2021

  1. Low-Voltage User-Side Smart IoT Sensor, 2020R401054
  2. Big Data Enabled State of Health Monitoring for Electrochemistry based Energy Storage Systems, X20200119
  3. Optimal Dispatch Algorithm Development for Active Distribution Network, X20200127

SRTP Advising in 2019-2020

  1. High-Risk Electric Appliance Detection in University Student Dormitory using NILM, 201910335047
  2. Wireless Sensor Network for Smart Electrical Utilization Monitoring, X2019144
  3. Performance Evaluation of State-of-the-art Sparse Solvers for Power System Matrices, Y201918090

SRTP Advising in 2018-2019

  1. Fast Inference of Power System Transient Stability using Artificial Intelligence, X20180117
  2. Electrical Utilization Monitoring System for Smart Homes using NB-IoT Technology, X20180131

Recent Updates

  • May 16, 2022

    Our research work "Generation Expansion Planning Considering Discrete Storage Model and Renewable Energy Uncertainty: A Bi-Interval Optimization Approach" was recently accepted by IEEE Transactions on Industrial Informatics.

  • Apr 07, 2022

    Our research work "Temperature Characterization based State-of-Charge Estimation for Pouch Lithium-ion Battery" was recently accepted by Journal of Power Source.

  • Dec 29, 2021

    Our research work "Probabilistic Revenue Analysis of Microgrid Considering Source-load and Forecast Uncertainties" was recently accepted by IEEE Access.

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