Shihang Song | Electricity Market| Best Scholar Award

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Dr . Shihang Song | Electricity Market| Best Scholar Award

 Dr .Shihang Song ,Key Laboratory of Power System Intelligent Dispatch and Control (Shandong University),China

Dr. Shihang Song is a prominent researcher affiliated with the Key Laboratory of Power System Intelligent Dispatch and Control at Shandong University, China. His work focuses on advanced methods and technologies for the intelligent management and control of power systems. Dr. Song’s research interests include optimization techniques for power system operation, renewable energy integration, and smart grid technologies. He has contributed to numerous projects aimed at enhancing the efficiency and reliability of power systems through innovative solutions. Dr. Song is recognized for his academic contributions and has published extensively in prestigious journals and conferences within the field of electrical engineering and power systems.

 

Professional Profiles:

Scopus

Education :

  • 2022.9–To Date
    Shandong University | School of Electrical Engineering
    Specialty: Electrical Engineering
    Degree: Academic Master
  • 2018.9–2022.6
    Shandong University | School of Electrical Engineering
    Specialty: Electrical Engineering and Automation
    Degree: Bachelor of Engineering

Honors And Scholarships :

  • The First Prize Scholarship of Academic – Shandong University
  • Advanced Student in Innovation and Entrepreneurship Activities – Shandong University
  • The First Prize Scholarship of Research and Innovation – Shandong University
  • “Ultra-High Voltage Grid” Scholarship – State Grid Corporation of China

Acadamic  And Scientific  Innovation Achievements:

  • Application of Deep Reinforcement Learning in Electricity Demand Response Market: Demand Response Decision-Making of Load Aggregator
    Published in MethodsX, Science Citation Index
    Role: Second Author and Corresponding Author
  • Perception and Decision-Making for Demand Response Based on Dynamic Classification of Consumers
    Published in International Journal of Electrical Power & Energy Systems, Science Citation Index
    Role: Actual Contributor, Sole Student Author
  • Design of Trading Model for BESS in Energy Market Considering Charging and Discharging Efficiency Control
    Presented at CEEPE 2024, The Engineering Index
    Role: First Author, Best Oral Presentation Award
  • Design of Trading Adjustment Mechanism for Energy Storage in Electricity Market Based on Equivalent Net Load Fluctuation
    Presented at CEEPE 2023, The Engineering Index
    Role: First Author
  • Analysis on Participation Strategy of Independent Energy Storage Station in Electricity Spot Market
    Presented at ACPEE 2023, The Engineering Index
    Role: Third Author and Actual Contributor
  • Carbon Cost Pass-through Analysis Considering Renewable Energy Consumption
    Presented at SPIES 2022, The Engineering Index

 

Publications:

1.Application of deep reinforcement learning in electricity demand response market: Demand response decision-making of load aggregator

2.Perception and decision-making for demand response based on dynamic classification of consumers

3.Design of Trading Adjustment Mechanism for Energy Storage in Electricity Market Based on Equivalent Net Load Fluctuation

4.Analysis on Participation Strategy of Independent Energy Storage Station in Electricity Spot Market

5.Carbon Cost Pass-through Analysis Considering Renewable Energy Consumption