Servius in the Carolingian Age: A Case Study of London, British Library, Harley 2782

In Harley 2782, Servius’s late antique commentary on Vergil was transmitted as an independent text, edited, corrected, glossed, marked for mythological information, provided with NOTA monograms and headings, as well as interspersed and augmented with scholia adespota and non-Servian material. The scholarly conventions attested in this manuscript show the kinds of critical apparatus that fed into the early medieval appropriation of Vergil and above all demonstrate that Servius was a staple of the Carolingian world.

Dans le manuscrit Harley 2782, le commentaire tardo-antique de Servius sur Virgile a été transmis sous forme d’un document indépendant, modifié, corrigé, glosé, préparé pour retrouver les informations mythologiques, enrichi de monogrammes Nota, ainsi qu’il a été entrecoupé et augmenté à l’aide des scholia adespota et du matériel non Servien. Les conventions scolastiques attestées par ce manuscrit montrent quels types d’apparats critiques alimentaient le début de l’appropriation médiévale de Virgile et surtout prouvent que Servius était une composante essentielle du monde carolingien.

Optimal day-ahead scheduling of integrated urban energy systems

An optimal day-ahead scheduling method (ODSM) for the integrated urban energy system (IUES) is introduced, which considers the reconfigurable capability of an electric distribution network. The hourly topology of a distribution network, a natural gas network, the energy centers including the combined heat and power (CHP) units, different energy conversion devices and demand responsive loads (DRLs), are optimized to minimize the day-ahead operation cost of the IUES. The hourly reconfigurable capability of the electric distribution network utilizing remotely controlled switches (RCSs) is explored and discussed. The operational constraints from the unbalanced three-phase electric distribution network, the natural gas network, and the energy centers are considered. The interactions between the electric distribution network and the natural gas network take place through conversion of energy among different energy vectors in the energy centers. An energy conversion analysis model for the energy center was developed based on the energy hub model. A hybrid optimization method based on genetic algorithm (GA) and a nonlinear interior point method (IPM) is utilized to solve the ODSM model. Numerical studies demonstrate that the proposed ODSM is able to provide the IUES with an effective and economical day-ahead scheduling scheme and reduce the operational cost of the IUES.