Abstract
This paper proposes a distribution optimal power flow (D-OPF) model for the operation of microgrids. The proposed model minimizes not only the operating cost, including fuel cost, purchasing cost and demand charge, but also several performance indices, including voltage deviation, network power loss and power factor. It co-optimizes the real and reactive power form distributed generators (DGs) and batteries considering their capacity and power factor limits. The D-OPF is formulated as a mixed-integer linear programming (MILP). Numerical simulation results show the effectiveness of the proposed model.
| Original language | English |
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| Title of host publication | 2016 IEEE Power and Energy Society General Meeting, PESGM 2016 |
| Publisher | IEEE Computer Society |
| ISBN (Electronic) | 9781509041688 |
| DOIs | |
| State | Published - Nov 10 2016 |
| Event | 2016 IEEE Power and Energy Society General Meeting, PESGM 2016 - Boston, United States Duration: Jul 17 2016 → Jul 21 2016 |
Publication series
| Name | IEEE Power and Energy Society General Meeting |
|---|---|
| Volume | 2016-November |
| ISSN (Print) | 1944-9925 |
| ISSN (Electronic) | 1944-9933 |
Conference
| Conference | 2016 IEEE Power and Energy Society General Meeting, PESGM 2016 |
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| Country/Territory | United States |
| City | Boston |
| Period | 07/17/16 → 07/21/16 |
Funding
This work was sponsored by the Office of Electricity Delivery and Energy Reliability, U.S. Department of Energy under Contract No. DE-AC05-00OR 22725 with UT-Battelle and conducted at ORNL and UT Knoxville. This work also made use of Engineering Research Center Shared Facilities supported by the Engineering Research Center Program of the National Science Foundation and the Department of Energy under NSF Award Number EEC-1041877 and the CURENT Industry Partnership Program
Keywords
- Distributed generators
- Distribution optimal power flow
- Microgrids
- Mixed-integer linear programming
- Multiobjective optimization