Optimal and Secure Electricity Market Framework for Market Operation of Multi-Microgrid Systems

Authors

Mohammad Mahmoudian Esfahani, Florida International UniversityFollow

Document Type

Dissertation

Degree

Doctor of Philosophy (PhD)

Major/Program

Electrical and Computer Engineering

First Advisor's Name

Osama Mohammed

First Advisor's Committee Title

Committee chair

Second Advisor's Name

Bogdan Carbunar

Second Advisor's Committee Title

committee member

Third Advisor's Name

Ahmed Ibrahim

Third Advisor's Committee Title

committee member

Fourth Advisor's Name

Sakhrat Khizroev

Fourth Advisor's Committee Title

committee member

Keywords

Smart Grids, Electricity Markets, Multi-microgrid Systems, Game theory, Optimization, Unbalanced System, Intelligent Protection, IEC 61850, Security, Congestion Management

Date of Defense

7-2-2020

Abstract

Traditional power systems were typically based on bulk energy services by large utility companies. However, microgrids and distributed generations have changed the structure of modern power systems as well as electricity markets. Therefore, restructured electricity markets are needed to address energy transactions in modern power systems.

In this dissertation, we developed a hierarchical and decentralized electricity market framework for multi-microgrid systems, which clears energy transactions through three market levels; Day-Ahead-Market (DAM), Hour-Ahead-Market (HAM) and Real-Time-Market (RTM). In this market, energy trades are possible between all participants within the microgrids as well as inter-microgrids transactions. In this approach, we developed a game-theoretic-based double auction mechanism for energy transactions in the DAM, while HAM and RTM are cleared by an optimization algorithm and reverse action mechanism, respectively. For data exchange among market players, we developed a secure data-centric communication approach using the Data Distribution Service. Results demonstrated that this electricity market could significantly reduce the energy price and dependency of the multi-microgrid area on the external grid.

Furthermore, we developed and verified a hierarchical blockchain-based energy transaction framework for a multi-microgrid system. This framework has a unique structure, which makes it possible to check the feasibility of energy transactions from the power system point of view by evaluating transmission system constraints. The blockchain ledger summarization, microgrid equivalent model development, and market players’ security and privacy enhancement are new approaches to this framework.

The research in this dissertation also addresses some ancillary services in power markets such as an optimal power routing in unbalanced microgrids, where we developed a multi-objective optimization model and verified its ability to minimize the power imbalance factor, active power losses and voltage deviation in an unbalanced microgrid.

Moreover, we developed an adaptive real-time congestion management algorithm to mitigate congestions in transmission systems using dynamic thermal ratings of transmission lines. Results indicated that the developed algorithm is cost-effective, fast, and reliable for real-time congestion management cases.

Finally, we completed research about the communication framework and security algorithm for IEC 61850 Routable GOOSE messages and developed an advanced protection scheme as its application in modern power systems.

Identifier

FIDC009166

ORCID

ORCID ID:

0000-0002-0756-8040

Previously Published In

1. M. M. Esfahani, A. Hariri and O. A. Mohammed, "A Multiagent-Based Game-Theoretic and Optimization Approach for Market Operation of Multimicrogrid Systems," IEEE Transactions on Industrial Informatics, vol. 15, no. 1, pp. 280-292, Jan. 2019.
2. M. M. Esfahani, Hany F Habib, Osama Mohammed, " Data-Centric Communication Approach for Energy Transactions in Multimicrogrid Systems", SoutheastCon 2020, Raleigh, NC, 2020.
3. M. M. Esfahani, Abla Hariri and O. Mohammed, “Game-theory-based Real-Time Inter-Microgrid Market Design Using Hierarchical Optimization Algorithm” IEEE Power and Energy Society General Meeting, Portland Oregon, 2018.
4. M. M. Esfahani, Hany F Habib, Osama Mohammed, "Optimal Power Routing Scheme Between and Within Interlinking Converters in Unbalanced Hybrid AC-DC Microgrids “, IET Generation, Transmission & Distribution, 2019.
5. M. M. Esfahani, and Osama Mohammed. "Real-Time Distribution of En-route Electric Vehicles for Optimal Operation of Unbalanced Hybrid AC/DC Microgrids." eTransportation. 2019.
6. M. M. Esfahani, Hany F Habib, Osama Mohammed, "A Hierarchical Power Routing Scheme for Interlinking Converters in Unbalanced Hybrid AC-DC Microgrids," IEEE IECON 2018, Washington, DC, 2018.
7. M. M. Esfahani and Osama Mohammed, “Loadability Improvement of Unbalanced Hybrid AC-DC Framework to Analyze Cyber and Physical Information Flow in Small DC Microgrids Using a Supervisory Control Scheme for Interlinking Converters” 2018 IEEE PES Innovative Smart Grid Technologies Asia, Singapore, 2018.
8. M. M. Esfahani, H. F. Habib and O. A. Mohammed, "Microgrid Stability Improvement using a Fuzzy-Based PSS Design for Virtual Synchronous Generator," SoutheastCon 2018, St. Petersburg, FL, 2018.
9. H., F. Zahra, A. F. Ebrahim, M. M. Esfahani, N. K., N. Hmina, and O. Mohammed. "An Optimal Energy Management System for Real-Time Operation of Multiagent-Based Microgrids Using a T-Cell Algorithm." Energies 12, no. 15, 2019.
10. M. M. Esfahani, Osama Mohammed, "Secure Blockchain-based Energy Transaction Framework in Smart Power Systems," IEEE IECON 2018, Washington, DC, 2018.
11. M. M. Esfahani, Tarek Youssef, and Osama Mohammed. "Method and apparatuses for data integrity and security for communications in smart power systems", U.S. Patent 10,499,242 issued December 3, 2019.
12. M. M. Esfahani, and Osama Mohammed. "An intelligent protection scheme to deal with extreme fault currents in smart power systems." International Journal of Electrical Power & Energy Systems 115, 2020.
13. Youssef, Tarek A., M. M. Esfahani, and Osama Mohammed. "Data-Centric Communication Framework for Multicast IEC 61850 Routable GOOSE Messages over the WAN in Modern Power Systems." Applied Sciences 10, no. 3 (2020): 848.
14. M. M. Esfahani, Ahmed Sheikh and Osama Mohammed, "Adaptive Real-Time Congestion Management in Smart Power Systems Using a Real-Time Hybrid Optimization Algorithm ", Electric Power System Research (EPSR), Vol 150, Pages 118-128, 2017.
15. H. Habib, N. F. K. Habib, M. M. Esfahani, O. A. Mohammed and S. Brahma, “An Enhancement of Protection Strategy for Distribution Network using the Communication Protocols”, IEEE Transactions on Industry Applications, doi: 10.1109/TIA.2020.2964638, 2020.
16. H. F. Habib, M. M. Esfahani and O. A. Mohammed, "Investigation of Protection Strategy for Microgrid System Using Lithium-Ion Battery During Islanding," IEEE Transactions on Industry Applications, vol. 55, no. 4, pp. 3411-3420, July-Aug. 2019.
17. M. M. Esfahani, H. F. Habib and O. A. Mohammed, "Microgrid Stability Improvement using a Fuzzy-Based PSS Design for Virtual Synchronous Generator," SoutheastCon 2018, St. Petersburg, FL, 2018.
18. M. M. Esfahani, M. H. Cintuglu and O. A. Mohammed, "Optimal real-time congestion management in power markets based on particle swarm optimization," 2017 IEEE Power & Energy Society General Meeting, Chicago, IL, 2017.
19. A. O. Hariri, M. M. Esfahani and O. Mohammed, “Collective Distribution of Mobile Loads for Optimal and Secure Operation of Power Systems," 2019 IEEE Industry Applications Society Annual Meeting (IAS), Baltimore, Maryland USA, 2019.
20. H. F. Habib, M. M. Esfahani and O. Mohammed, "Enhancement of Protection Scheme for Distribution System Using the Communication Network," 2019 IEEE Industry Applications Society Annual Meeting (IAS), Baltimore, Maryland USA, 2019.
21. H. F. Habib, M. M. Esfahani and O. Mohammed, "Improvement of Protection Scheme for Microgrids using Lithium- Ion Battery during Islanding," 2018 IEEE Industry Applications Society Annual Meeting (IAS), Portland, OR, 2018.
22. A. O. Hariri, M. M. Esfahani and O. Mohammed, "A Cognitive Price-Based Approach for Real-time Management of En-route Electric Vehicles," 2018 IEEE Transportation Electrification Conference and Expo (ITEC), Long Beach, CA, 2018.
23. H. F. Habib, M. M. Esfahani and O. Mohammed, "Development of Protection Scheme for Active Distribution Systems with Penetration of Distributed Generation," SoutheastCon 2018, St. Petersburg, FL, 2018.

Recommended Citation

Mahmoudian Esfahani, Mohammad, "Optimal and Secure Electricity Market Framework for Market Operation of Multi-Microgrid Systems" (2020). FIU Electronic Theses and Dissertations. 4467.
https://digitalcommons.fiu.edu/etd/4467