Date of Award
8-2024
Document Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
Department
Electrical and Computer Engineering (Holcomb Dept. of)
Committee Chair/Advisor
Dr. Ganesh Kumar Venayagamoorthy
Committee Member
Dr. Rajendra Singh
Committee Member
Dr. Johan Enslin
Committee Member
Dr. Yongjia Song
Abstract
This dissertation explores the pressing needs of modern bulk power system operation and control and delves into enhancements to EMS applications with minimal infrastructure development. The dissertation investigates three main EMS application enhancements. The transmission network topology processing (TNTP) is a foundational application of the EMS. A physics-based hierarchical transmission network topology processing (H-TNTP), including substation configuration identification, to improve efficiency and reliability is proposed. Secondly, a multi-level distributed linear state estimation (D-LSE) approach solely based on PMUs is proposed utilizing H-TNTP as the network modeling tool. The D-LSE can conduct linear state estimation (LSE) at either substation, area or network level as needed. Thirdly, a distributed dynamic security assessment (D-DSA) tool is proposed in the place of current dynamic security assessment (DSA) to improve the operational situational awareness (OpSA) at the energy control center (ECC) with a simple but comprehensive visualization. The D-DSA is based on the efficient and robust D-LSE with the H-TNTP solely based on the synchrophasor network (H-TNTP-PMU) to assess the security at multiple levels. With these three enhancements to EMS applications, granular and accurate OpSA about the power system transmission network can be established.
Recommended Citation
Madurasinghe, Dulip, "Data-Driven Enhanced Energy Management System Applications for Energy Control Centers" (2024). All Dissertations. 3668.
https://open.clemson.edu/all_dissertations/3668
Author ORCID Identifier
https://orcid.org/0000-0002-4931-6597