Doctoral Dissertations


Fanjun Meng

Keywords and Phrases

Current Injection Method; Distributed Energy Resource; Primal-Dual Interior Point Method; Solid State Transformer; Unbalanced Optimal Power Flow


"The present distribution system is gradually trending towards a smart grid paradigm with massive development of distributed energy resources (DER), advanced power electronics interfaces, and a digitalized communication platform. Such profound changes bring challenges as well as opportunities for an entity like the distribution network operator (DNO) to optimally operate DERs and other controllable elements to achieve higher levels of energy efficiency, economic benefits, supply reliability and power quality.

The major contribution of this dissertation is in the development of a generalized three-phase optimal power flow (OPF) program in a novel control scheme for future distribution system optimization and economic operation. It is developed based on primal-dual interior point method (PDIPM). The program is general enough to model comprehensive system components and topologies. The program can also be customized by user-defined cost functions, system constraints, and new device, such as solid state transformers (SST). An energy storage optimal control using dynamic programming is also proposed to coordinate with the OPF based on a pricing signal called the distribution locational marginal price (DLMP). The proposed OPF program can be used by the DNO in an open access competitive control scheme to optimally aggregate the energy mix by combining the profitability of each resource while satisfying system security constraints"--Abstract, page iv.


Chowdhury, Badrul H.

Committee Member(s)

Crow, Mariesa
Kimball, Jonathan W.
Ferdowsi, Mehdi
McMillin, Bruce M.


Electrical and Computer Engineering

Degree Name

Ph. D. in Electrical Engineering


National Science Foundation (U.S.)


Financial support of the Future Renewable Electric Energy Delivery and Management (FREEDM) System Center, a National Science Foundation supported Engineering Research Center, under grant NSF EEC-0812121.


Missouri University of Science and Technology

Publication Date


Journal article titles appearing in thesis/dissertation

  • Distributed generation and storage optimal control with state estimation
  • A three-phase optimal power flow program for control and optimization of distributed generations
  • Optimal operation and control with distributed energy resources and solid state transformers in future distribution systems


xii, 105 pages

Note about bibliography

Includes bibliographic references.


© 2014 Fanjun Meng, All rights reserved.

Document Type

Dissertation - Open Access

File Type




Subject Headings

Electric power systems -- Mathematical models
Distributed generation of electric power
Electric power distribution

Thesis Number

T 10857

Electronic OCLC #