Advanced search
Start date
Betweenand
(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Joint optimal operation of photovoltaic units and electric vehicles in residential networks with storage systems: A dynamic scheduling method

Full text
Author(s):
Sabillon, Carlos [1] ; Franco, John F. [2] ; Rider, Marcos J. [3] ; Romero, Ruben [1]
Total Authors: 4
Affiliation:
[1] Sao Paulo State Univ, Fac Engn llha Solteira, Ilha Solteira, SP - Brazil
[2] Sao Paulo State Univ, Sch Energy Engn, BR-19274000 Rosana - Brazil
[3] Univ Estadual Campinas, Dept Syst & Energy, Campinas, SP - Brazil
Total Affiliations: 3
Document type: Journal article
Source: INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS; v. 103, p. 136-145, DEC 2018.
Web of Science Citations: 7
Abstract

The growing penetration of low-carbon technologies in residential networks such as photovoltaic generation (PV) units and electric vehicles (EVs) may cause technical issues on the grid. Thus, operation planning of electrical distribution networks (EDNs) should consider the inclusion of these technologies in order to avoid operational limit breaches. This paper proposes a dynamic scheduling method for the optimal operation of PV units and EVs in unbalanced residential EDNs, considering energy storage systems (ESSs). The proposed method optimizes the joint operation of PV units and EVs, using ESSs to increase the local consumption of the renewable energy. A rolling multi-period strategy based on a mixed integer linear programming model is used to dynamically optimize a centralized decision making, determining control actions for on-load tap changers (OLTCs), ESSs, PV units, and EVs connected to the network. At each time interval, data for PV generation and EV demand is updated using actual information and historical profiles, generating an updated forecast for a one-day-ahead operation in order to properly cope with weather uncertainties and EV owner's behavior without the need of multiple scenarios. The effectiveness and robustness of this approach are verified in different cases via a 107-node test EDN. (AU)

FAPESP's process: 17/02831-8 - Application of optimization methods to the planning of electrical distribution systems
Grantee:John Fredy Franco Baquero
Support type: Regular Research Grants
FAPESP's process: 15/21972-6 - Optimization of the operation and planning in transmission and distribution systems
Grantee:Rubén Augusto Romero Lázaro
Support type: Research Projects - Thematic Grants
FAPESP's process: 18/08008-4 - Coordinated energy resource management under uncertainty considering electric vehicles and demand flexibility in distribution systems
Grantee:Rubén Augusto Romero Lázaro
Support type: Regular Research Grants