English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

With the introduction of massive renewable energy sources and storagedevices, the traditional process of grid operation must be improved in order tobe safe, reliable, fast responsive and cost efficient, and in this regard powerflow solvers are indispensable. In this paper, we introduce an InteriorPoint-based (IP) Multi-Period AC Optimal Power Flow (MPOPF) solver for theintegration of Stationary Energy Storage Systems (SESS) and Electric Vehicles(EV). The primary methodology is based on: 1) analytic and exact calculation ofpartial differential equations of the Lagrangian sub-problem, and 2) exploitingthe sparse structure and pattern of the coefficient matrix of Newton-Raphsonapproach in the IP algorithm. Extensive results of the application of proposedmethods on several benchmark test systems are presented and elaborated, wherethe advantages and disadvantages of different existing algorithms for thesolution of MPOPF, from the standpoint of computational efficiency, are broughtforward. We compare the computational performance of the proposedSchur-Complement algorithm with a direct sparse LU solver. The comparison isperformed for two different applicational purposes: SESS and EV. The resultssuggest the substantial computational performance of Schur-Complement algorithmin comparison with that of a direct LU solver when the number of storagedevices and optimisation horizon increase for both cases of SESS and EV. Also,some situations where computational performance is inferior are discussed.

BATTPOWER Toolbox: Memory-Efficient and High-Performance Multi-Period AC Optimal Power Flow Solver