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CC BY V4.0, Open Access
Dissertation
Co-Simulation of Distributed Microgrid Control and Communication
Washington State University
Doctor of Philosophy (PhD), Washington State University
07/2025
DOI:
https://doi.org/10.7273/000007911
Abstract
Much of the potential for multi-microgrid Systems to provide improved resiliency and other benefits depends on effective collaboration between independent agents such as microgrid controllers (MGCs) and distribution system operators (DSOs). Therefore, proper design and implementation of the communication systems is essential. We cannot neglect to understand the interdependence within the cyber-physical multi-microgrid system and the communication infrastructure requirements to support the operations of smart multi-microgrid systems. To properly design the communication system for a smart multi-microgrid system we need to understand what applications and processes are needed as well as their communication requirements and be able to model and test the system for contingencies. At this time, no single tool exists that can model the power system, communication system, and control logic. In fact very little work has been done to simulate distributed algorithms with accurate communication models. In the course of this research, significant contributions were made in the study of distributed algorithms for multi-microgrid systems. First, the Cyber-Physical Multi-Agent Co-Simulation platform (CPMACS) platform is developed. CPMACS, enables power distribution systems, communications systems, and control agents to be simulated together using the software packages, GridLAB-D, NS-3, and Python, respectively. The timing and message passing between simulators is managed by HELICS. Second, the communication system requirements of Equivalent Network Approximation (ENApp) and Alternating Direction Method of Multipliers (ADMM) algorithms for distributed optimal power flow in normal operation are analyzed with CPMACS through a series of tests which force the algorithms to operate with, high communication delays, low bandwidth, high congestion, and data corruption. Third, the communication system requirements of a variety of methods for bulk power system voltage support are analyzed. The ENApp algorithm is adapted to bulk grid voltage support and analyzed on a variety of test systems with various communication restrictions and data corruptions as done for the normal mode. Additionally, an average consensus algorithm and a collaborative autonomy algorithm, which each depend on different data and connections, are analyzed and compared along with the ENApp algorithm.
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Details
- Title
- Co-Simulation of Distributed Microgrid Control and Communication
- Creators
- Nathan T. Gray
- Contributors
- Anjan Bose (Chair)Anamika Dubey (Committee Member)Kevin P Schneider (Committee Member)
- Awarding Institution
- Washington State University
- Academic Unit
- School of Electrical Engineering and Computer Science
- Theses and Dissertations
- Doctor of Philosophy (PhD), Washington State University
- Publisher
- Washington State University
- Number of pages
- 174
- Identifiers
- 99901297595201842
- Language
- English
- Resource Type
- Dissertation