Date of Award
2021
Document Type
Dissertation
Degree Name
Ph.D.
Organizational Unit
Daniel Felix Ritchie School of Engineering and Computer Science, Electrical and Computer Engineering
First Advisor
David Gao
Second Advisor
Yunbo Yi
Third Advisor
Margareta Stefanovic
Fourth Advisor
Mohammad Matin
Keywords
Consensus protocol, Economic dispatch, Optimal power flow, Renewable energy, State estimation
Abstract
The traditional power systems are usually centralized systems, in which the control, operation and monitoring are performed by the centralized control center, e.g., SCADA. However, with the development of renewable energy, power systems are getting more and more distributed. So, it becomes necessary to establish the distributed power system operation methods for these power systems. In this research, the distributed techniques for the renewable power systems are proposed based on the consensus protocol technique from graph theory. These techniques cover the three important problems in power systems, i.e., economic dispatch, state estimation, and optimal power flow. First, the Distributed Economic Dispatch (DED) approach is proposed. In this part, both the PI controller and Neural Network (NN) controller are utilized to design the distributed algorithm to minimize the power system’s operational cost in a distributed way. The communication-failure-tolerant DED algorithm is proposed to improve the robustness of the approach during communication failure. Also, the DED algorithm considering line loss model is proposed. On the other hand, an information propagation method is provided to develop the Distributed State Estimation (DSE) algorithm. Then, the bad data detection and measurement accuracy improvement topics in state estimation are discussed. Then, based on the proposed DED algorithm and DSE algorithm, the Distributed Optimal Power Flow (DOPF) method is developed. Finally, the AC power flow model is considered to build the distributed AC State Estmiation method and distributed AC Optimal Power Flow method. At the end, the proposed methods are verified in the MATLAB/simulation software. The 4-generator system model, IEEE 10-generator 39-bus system model, WSCC 9-Bus system model, and some specially designed power system models are employed in the tests. The results of the simulation show that the proposed methods reach the desired performance.
Publication Statement
Copyright is held by the author. User is responsible for all copyright compliance.
Rights Holder
Qiao Li
Provenance
Received from ProQuest
File Format
application/pdf
Language
en
File Size
127 pgs
Recommended Citation
Li, Qiao, "Distributed Control, Optimization, and State Estimation for Renewable Power System" (2021). Electronic Theses and Dissertations. 1944.
https://digitalcommons.du.edu/etd/1944
Copyright date
2021
Discipline
Electrical engineering