HOPE Documentation

Overview

The Holistic Optimization Program for Electricity (HOPE) model is a transparent and open-source tool for evaluating electric sector transition pathways and policy scenarios regarding power system planning, system operation, optimal power flow, and market designs. It is a highly configurable and modulized tool coded in the Julia language and optimization package JuMP. The HOPE consists of multiple modes for modeling optimization problems of modern power systems and electricity markets, including:

1. GTEP mode: a generation & transmission expansion planning model
2. PCM mode: a production cost model
3. OPF mode: (under development): an optimal power flow model
4. DART mode: (under development): a bilevel market model for simulating day-head and real-time markets

Users can select the proper mode of HOPE based on their research needs. Each mode is modeled as linear or mixed-integer linear programming and can be solved with open-source (e.g., Cbc, GLPK, Clp, etc.) or commercial (e.g., Groubi and CPLEX) solver packages.

Contributors

The HOPE model was originally developed by a team of researchers in Prof. Benjamin F. Hobbs's group at Johns Hopkins University. The main developers of the current HOPE version include Dr. Shen Wang, Dr. Mahdi Mehrtash, and Zoe Song.