4 papers · 1 filter
Analyzing Performance and Scalability of Benders Decomposition for Generation and Transmission Expansion Planning Models
David L. Cole, Michael Lau, Xinliang Dai +2
Generation and Transmission Expansion Planning (GTEP) problems co-optimize generation and transmission expansion, enabling them to provide better planning decisions than traditiona…
Graph-Based Modeling and Decomposition of Hierarchical Optimization Problems
David L. Cole, Filippo Pecci, Omar J. Guerra +3
We present a graph-theoretic modeling approach for hierarchical optimization that leverages the OptiGraph abstraction implemented in the Julia package Plasmo.jl. We show that the a…
A Parallelized Cutting-Plane Algorithm for Computationally Efficient Modelling to Generate Alternatives
Michael Lau, Filippo Pecci, Jesse D. Jenkins
Contemporary macro energy systems modelling is characterized by the need to represent strategic and operational decisions with high temporal and spatial resolution and represent di…
Regularized Benders Decomposition for High Performance Capacity Expansion Models
Filippo Pecci, Jesse D. Jenkins
We consider electricity capacity expansion models, which optimize investment and retirement decisions by minimizing both investment and operation costs. In order to provide credibl…