Optimal and resilient management of distributed energy resources

High-scale penetration of distributed energy resources (DERs) turned out to be an innovative and effective strategy for mitigating a variety of problems ranging from greenhouse gas emissions, power grid resilience and reliability to developing low-cost and uninterruptible power supply for mission critical systems. It is envisioned that fossil fuel-based centralized power generation will gradually be replaced with renewable distributed generation. A number of computational and communication-based challenges must be addressed to materialize this vision. It will be required to process a large volume of real-time data to control a large population of DERs. Traditional centralized approaches collect and process data in the central unit, which is not always practical because of the resulting communication overhead and network constraints. By contrast, distributed approaches dispense with the notion of having a central unit and manage and process data locally. However, they are required to have a certain level of resiliency to communication latency and data packet losses in the communication channels in order to be able to operate over practical communication networks. Integration of DERs has also been facilitated through the deployment of microgrids. Despite their relatively small physical footprint, achieving stable operation of microgrids requires addressing certain stability issues that are far less prevalent in the bulk power grid. In contrast with the bulk power grid, microgrids mostly rely on inertialess renewable energy resources interfaced with power electronics. Lack of rotational inertia has raised various concerns about microgrid stability and synchronization of distributed generators. On the other hand, inertialess generators exhibit a much shorter response time and provide more flexibility at managing energy demand and generation. Stability concerns have motivated development of novel control schemes that take advantage of these features and provide fast response to mitigate low inertia impacts. To this end, our work mostly concerns the design of the distributed control strategies for coordinating DERs in distribution systems and islanded microgrids. We develop distributed algorithms for solving optimal power flow problems for radial and mesh distribution systems with high penetration of DERs. We also develop distributed strategies for frequency control of islanded AC microgrids for achieving the objectives of proportional power sharing and regulating the system frequency to its nominal value. The presented distributed algorithms and control strategies are resilient to communication delays and random data packet losses in the communication channels, and have practical convergence speed.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Electrical & Computer Engr

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2020

Author dc:creator

• Zholbaryssov, Madi

Contributors dc:contributor

• Dominguez-Garcia, Alejandro D.
• Hadjicostis, Christoforos N.
• Sauer, Peter W.
• Liberzon, Daniel

• Distributed energy resources, distribution systems, microgrids, distributed control, optimization

Statement dc:rights

• Copyright 2019 Madi Zholbaryssov

Language dc:language

en

Handle dc:identifier

http://hdl.handle.net/2142/106357

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/106357