| Author(s): |
Melgar Dominguez, Ozy D.
;
Pourakbari-Kasmaei, Mahdi
;
Sanches Mantovani, Jose Roberto
;
Lavorato, Marina
;
IEEE
Total Authors: 5
|
| Document type: | Journal article |
| Source: | 2017 1ST IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING AND 2017 17TH IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE (EEEIC / I&CPS EUROPE); v. N/A, p. 6-pg., 2017-01-01. |
| Abstract | |
This paper proposes an environmentally committed mixed-integer linear programming (MILP) model to find the best plan for the electrical distribution systems (EDSs) in a short-term planning horizon. In this regard, the energy delivered by the substation and the total investment cost are minimized while the stochasticity related with the demand and photovoltaic (PV) generation is modeled via external uncertainty indexes. Considering PV generation, switchable and fixed capacitor banks (CBs), voltage regulators (VRs), conductor replacement, as well as operating costs results in a mixed-integer nonlinear programming (MINLP) model. However, to obtain the globally optimal solution, this highly nonlinear model, using appropriate linearization techniques, is recast to an MILP model. In order to validate and show the effectiveness of the proposed model, a 42 node system is considered in detail. (AU) | |
| FAPESP's process: | 14/22828-3 - A mixed-integer nonlinear programming paradigm to solve multi fuel-based environmentally-constrained active-reactive optimal power flow |
| Grantee: | Mahdi Pourakbari Kasmaei |
| Support Opportunities: | Scholarships in Brazil - Post-Doctoral |
| FAPESP's process: | 16/14319-7 - Online carbon footprint Allocation- a joint Price- and carbon Footprint: responsive demands model to reduce the GHG emissions and manage the electricity demand |
| Grantee: | Mahdi Pourakbari Kasmaei |
| Support Opportunities: | Scholarships abroad - Research Internship - Post-doctor |