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

With the introduction of massive renewable energy sources and storage devices, traditional process grid operation must be improved in order to safe, reliable, fast responsive cost efficient, this regard power flow solvers are indispensable. In paper, we introduce an Interior Point-based (IP) Multi-Period AC Optimal Power Flow (MPOPF) solver for integration Stationary Energy Storage Systems (SESS) Electric Vehicles (EV). The primary methodology is based on: 1) analytic exact calculation partial differential equations Lagrangian sub-problem, 2) exploiting sparse structure pattern coefficient matrix Newton-Raphson approach IP algorithm. Extensive results application proposed methods on several benchmark test systems presented elaborated, where advantages disadvantages different existing algorithms solution MPOPF, from standpoint computational efficiency, brought forward. We compare performance Schur-Complement algorithm with a direct LU solver. comparison performed two applicational purposes: SESS EV. suggest substantial that when number devices optimisation horizon increase both cases Also, some situations inferior discussed.