Incorporating short-term topological variations in optimal energy management of MGs considering ancillary services by electric vehicles
Weerakorn Ongsakul and
Energy, 2016, vol. 112, issue C, 241-253
This study proposes a well-defined energy management system (EMS) intended for smart microgrids (MGs) operational management. The proposed EMS aims at optimal allocation of active elements including electric vehicles (EVs), distributed generations (DGs), and responsive loads (RLs). To avoid the adverse effects of EVs' burden, a price-sensitive priority-based smart charging approach is outlined. As an innovative point, the potential of EVs in providing ancillary services such as reactive power provision is addressed in improving the MG's techno-economical performance. Moreover, the infield automatically controlled switches (ACSs) are accommodated to yield in optimal hourly reconfigurations. This practice would definitely impinge on the scheduling patterns of active elements and enhance the performance of the MG. Furthermore, the effects of reconfigurations and EVs' reactive power processes are explored on the capacity release of DGs, EV reliance, and imported power from the upper grid. The released/unallocated capacities are offered as reserve resources for undertaking the renewables' intermittency and load forecasting uncertainties. The proposed approach is formulated as a mixed-integer nonlinear programming problem and tackled based on time-varying inertia weight factor particle swam optimization. A medium-voltage MG is put under numerical analysis to assess the performance of the proposed EMS. Results are discussed in depth.
Keywords: Microgrids (MGs); Distributed generation (DG); Electric vehicle (EV); Responsive load (RL); Short-term topological reconfigurations; Energy management system (EMS) (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations View citations in EconPapers (1) Track citations by RSS feed
Downloads: (external link)
Full text for ScienceDirect subscribers only
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:112:y:2016:i:c:p:241-253
Access Statistics for this article
Energy is currently edited by Henrik Lund and Mark J. Kaiser
More articles in Energy from Elsevier
Series data maintained by Dana Niculescu ().