Thesis
Distribution locational marginal price using three phase current injection based optimal power flow
Washington State University
Master of Science (MS), Washington State University
2014
Handle:
https://hdl.handle.net/2376/103117
Abstract
With increasing distribution automation and integration of demand response (DR) and distributed energy resources (DERs) in the distribution system, electricity market concepts will be extended from the transmission network to the distribution system in the future. Computation of locational marginal price needs to be extended to enable the electricity market in the distribution system and offer a fair pricing scheme for DR and DER. Distribution Locational Marginal Price (DLMP) requires consideration of the unique characteristics of distribution system including three phase, unbalanced, high R/X ratio. This thesis attempts to address this problem using three-phase current injection method (TCIM) based optimal power flow for computation of DLMP. The unique contribution of this research is extending existing three phase current injection method based power flow to optimal power flow (OPF) which is required to compute DLMP. In this thesis, the TCIM based OPF has been formulated to maximize the social benefit and considering the possibility of PQ and PV node within the distribution system given integration of DER and associated control. Several different scenarios have been analyzed using a modified IEEE 13-bus test case to demonstrate the effectiveness of developed algorithm. These scenarios include integration of DR and DER with different penetration levels. Results demonstrate that DLMP reduces with integration of both DR and DER. The lowest price is observed when both the DR and DER are integrated together.
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Details
- Title
- Distribution locational marginal price using three phase current injection based optimal power flow
- Creators
- Jie Wei
- Contributors
- Anurag K. Srivastava (Degree Supervisor)
- Awarding Institution
- Washington State University
- Academic Unit
- Electrical Engineering and Computer Science, School of
- Theses and Dissertations
- Master of Science (MS), Washington State University
- Publisher
- Washington State University; [Pullman, Washington] :
- Identifiers
- 99900525391101842
- Language
- English
- Resource Type
- Thesis