High-performance computing for electric grid planning and operations

Abstract

Abstract-High-performance computing is having a profound impact on scientific discovery and engineering in a number of areas, and researchers are beginning to study how HPC can impact energy grid planning and operations problems. Contemporary supercomputers can perform over 10 15 floating point operations per second and have more than 300 terabytes of memoryroughly 5 orders of magnitude more than a commodity PC workstation. This level of computer power changes what is possible.Resarchers are LLNL have already used HPC systems to accelerate a multi-scenario planning study by solving a thousand unit commitment models in parallel which enabled a more detailed study than would have been achievable otherwise in the time given. LLNL is developing and testing new parallel algorithms for the unit commitment problems, including the stochastic unit commitment. These algorithms will enable higher network and time resolution and provide better solutions because of the increase model fidelity. solution of unit commitment model

A Simulation Framework for Optimal Energy Storage Sizing

“…Due to computing capabilities, long-term system expansion planning has traditionally been carried out considering weekly or monthly intervals and load duration curve approximations, thereby losing the capability to model UC short-term operational constraints such as start-up costs, ramp rates and minimum up-and-down times [15,[21][22][23]. ESS systems cannot be properly represented when the simulation time step is larger than ESS autonomy as well as the intra-day chronological operation in the case of using duration curves.…”

Multiobjective generation scheduling using multicore processing-based continuous genetic algorithm

“…Parallel processing and multithreaded applications have shown improvement in performance when compared with a program running as a single process (Hadizadeh & Tanghatari, 2017;Razian & MahvashMohammadi., 2017). High-performance computing using supercomputers or a cluster of connected computers for grid operations was reported in literature (Epperly et al, 2012;Tippayachai et al, 2002). Security constrained unit commitment using Gurobi optimizer and 28,800 Intel Xeon Phi cores was investigated in (Gong et al, 2019).…”