Award Abstract # 1952683
CAREER: A Hierarchical Restructuring Operation Framework for Sustainable and Resilient Electricity Distribution Systems

NSF Org: ECCS
Division of Electrical, Communications and Cyber Systems
Recipient: ROWAN UNIVERSITY
Initial Amendment Date: September 20, 2019
Latest Amendment Date: July 25, 2023
Award Number: 1952683
Award Instrument: Standard Grant
Program Manager: Aranya Chakrabortty
ECCS
 Division of Electrical, Communications and Cyber Systems
ENG
 Directorate for Engineering
Start Date: July 1, 2019
End Date: September 30, 2023 (Estimated)
Total Intended Award Amount: $472,601.00
Total Awarded Amount to Date: $472,601.00
Funds Obligated to Date: FY 2017 = $472,601.00
History of Investigator:
  • Jie Li (Principal Investigator)
    jieli@clarkson.edu
Recipient Sponsored Research Office: Rowan University
201 MULLICA HILL RD
GLASSBORO
NJ  US  08028-1702
(856)256-4057
Sponsor Congressional District: 01
Primary Place of Performance: Rowan University
NJ  US  08028-1701
Primary Place of Performance
Congressional District:
01
Unique Entity Identifier (UEI): DMDEQP66JL85
Parent UEI:
NSF Program(s): EPCN-Energy-Power-Ctrl-Netwrks
Primary Program Source: 01001718DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 1045, 155E
Program Element Code(s): 760700
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.041

ABSTRACT

In response to the urgent need to improve societal capabilities to withstand and recover from major natural or man-made catastrophic events, community microgrids are designed to provide sustainable and resilient electric energy supply for critical services. With increased penetration of community microgrids and distributed energy resources, distribution systems are transforming from traditionally passive radial networks operated by a single utility to more sophisticated active networked topologies with multiple autonomic entities. This transformation in distribution systems has resulted in a need to reshape the way electricity services are delivered and distribution systems are designed and managed. To address these challenges, this CAREER project will investigate new approaches for comprehensive modeling of distinct characteristics of emerging distribution systems with a proliferation of community microgrids, and explore optimal operation strategies for enhancing the sustainability and resiliency of distribution systems. Specifically, a two-tier hierarchical restructuring framework is proposed for guiding the optimal operation and coordination of distribution systems and community microgrids, with special focus on investigating fundamental market clearing mechanisms and efficient computation tools. Results from this research could facilitate the optimal design of future fully liberalized retail distribution markets and related energy policies, and guide the active participation of microplayer-like electricity prosumers (producer-consumers) in such distribution-level markets. The research efforts will be complemented by an education and outreach plan aimed at increasing public awareness and understanding of the complexity of distribution systems restructuring, and to prepare the next generation workforce with needed skills to meet the needs of the power industry.

Both physical feasibility and financial viability of individual autonomic entities are key to the successful implementation of distribution system restructuring and retail electricity markets. This project will address such challenges via five integrated research and educational activities, namely: (i) Exploring market operation and pricing mechanisms for distribution system operators based on comprehensive unbalanced three-phase alternating current optimal power flow models and efficient computation methods. The proposed per-phase nodal distribution locational marginal pricing concept can effectively incentivize the continued participation of various distribution customers in retail electricity markets; (ii) Investigating market operation and pricing mechanisms for community microgrid operators based on comprehensive unbalanced three-phase alternating current unit commitment models and efficient computation methods. The proposed per-phase nodal community locational marginal pricing concept can effectively coordinate heterogeneous community partners under both grid-connected and islanded operation modes, and incentivize their continued participation in community microgrids. Flexibilities of typical community microgrid partners are also investigated to help guide their strategic bidding in community microgrids; (iii) Addressing major research questions via the proposed models and computation methods to further promote the implementation of distribution systems restructuring; (iv) Validating the proposed research in simulated and realistic system models; and (v) Exploring knowledge and skill requirements for the sustainable operation and effective restructuring of emerging distribution systems and community microgrids, and investigating education and training needs for retooling existing power engineering programs and curricula.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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(Showing: 1 - 10 of 25)
Li, Jie and Liu, Yikui and Wu, Lei "Optimal Operation for Community-Based Multi-Party Microgrid in Grid-Connected and Islanded Modes" IEEE Transactions on Smart Grid , v.9 , 2018 https://doi.org/10.1109/TSG.2016.2564645 Citation Details
Liu, Y and Wu, L and Li, J. "D-PMU based applications for emerging active distribution systems: A review" Electric power systems research , 2020 Citation Details
Liu, Y and Wu, L and Li, J. "Peer-to-peer (P2P) electricity trading in distribution systems of the future" The Electric journal , v.32 , 2020 Citation Details
Liu, Yikui and Li, Jie and Wu, Lei "ACOPF for threephase fourconductor distribution systems: semidefinite programming based relaxation with variable reduction and feasible solution recovery" IET Generation, Transmission & Distribution , v.13 , 2018 https://doi.org/10.1049/iet-gtd.2018.5033 Citation Details
Liu, Yikui and Li, Jie and Wu, Lei "Coordinated Optimal Network Reconfiguration and Voltage Regulator/DER Control for Unbalanced Distribution Systems" IEEE Transactions on Smart Grid , v.10 , 2019 https://doi.org/10.1109/TSG.2018.2815010 Citation Details
Liu, Yikui and Li, Jie and Wu, Lei "Distribution System Restructuring: Distribution LMP via Unbalanced ACOPF" IEEE Transactions on Smart Grid , v.9 , 2018 https://doi.org/10.1109/TSG.2016.2647692 Citation Details
Liu, Yikui and Li, Jie and Wu, Lei "State Estimation of Three-Phase Four-Conductor Distribution Systems With Real-Time Data From Selective Smart Meters" IEEE Transactions on Power Systems , v.34 , 2019 https://doi.org/10.1109/TPWRS.2019.2892726 Citation Details
Liu, Yikui and Li, Jie and Wu, Lei and Chen, Yonghong and Wang, Fengyu "Enhanced Combined-Cycle Unit Modeling: A Study on Operation Cost and Time-Dependent Startup Cost" , 2019 https://doi.org/10.1109/PESGM40551.2019.8973933 Citation Details
Liu, Yikui and Li, Jie and Wu, Lei and Ortmeyer, Thomas "Chordal Relaxation Based ACOPF for Unbalanced Distribution Systems with DERs and Voltage Regulation Devices" IEEE Transactions on Power Systems , 2017 https://doi.org/10.1109/TPWRS.2017.2707564 Citation Details
Wang, Ning and Li, Jie and Ho, Shen-Shyang and Qiu, Chenxi "Distributed machine learning for energy trading in electric distribution system of the future" The Electricity Journal , v.34 , 2021 https://doi.org/10.1016/j.tej.2020.106883 Citation Details
Wang, Shengyi and Li, Jie and Wu, Lei "An Integrated Distributed Economic Dispatch-Droop Control Architecture for Distribution System Operation" , 2018 https://doi.org/10.1109/PESGM.2018.8586122 Citation Details
(Showing: 1 - 10 of 25)

PROJECT OUTCOMES REPORT

Disclaimer

This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

Recognizing the ongoing energy system transition attributed to the increasing penetration of different distributed energy resources (DERs) and systems, this CAREER project aims to investigate new modeling and computation approaches as well as business models for the optimal operation of emerging electricity distribution systems, explore a feasible distribution system restructuring framework, and ultimately enhance the sustainability and resiliency of the electric grid in the face of emerging challenges. During the entire period of this CAREER project, the PI worked 2.5 years at Clarkson University, and 4 years at Rowan University on this project. In total, four Ph.D. students (one in Clarkson and three in Rowan), three M.S. students (two in Clarkson and one in Rowan), and a large group of undergraduate students (mainly in Rowan) are supported by and involved in this project to conduct the proposed research activities. Specifically, the major research outcomes include:

1. Detailed and rigorous mathematical modeling for future power distribution system short-term operations, together with a suite of high-performance computation methods, are designed and developed to support the efficient and effective retail electricity market clearing and energy trading mechanisms.

2. Advanced and coordinated hierarchical control mechanisms (including tertiary economic operation, secondary automatic generation control, and primary droop control) are investigated, developed, and simulated for enabling the actual implementation of economic and secure microgrid/distribution system operations considering the increasing penetration of DERs (including photovoltaics, battery energy storages, and supercharging stations, etc.), as well as their interactions with the transmission systems. Furthermore, data-driven transient stability evaluation of future distribution systems is explored.

3. Advanced artificial intelligence/machine learning techniques are explored for supporting enhanced community microgrid operations, establishing market trading/clearing business models of residential/retail electricity markets, and investigating their interaction with the wholesale market to assist the execution of FERC order 2222.

The educational objective of this CAREER project is to explore knowledge and skill requirements for the sustainable operation and effective restructuring of emerging electricity distribution systems, and to investigate education and training needs for retooling existing power engineering programs and curricula. In addition to the training of Ph.D., M.S., and undergraduate students, a set of undergraduate and graduate level courses and certificates are designed, developed, and offered in both Clarkson University and Rowan University to promote power engineering education, for addressing the industry challenges of lack of qualified workforce.


 


Last Modified: 01/15/2024
Modified by: Jie Li

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