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 modular tool coded in the Julia language and optimization package JuMP. The HOPE currently supports these operational modes:

  1. GTEP mode: a generation & transmission expansion planning model
  2. PCM mode: a production cost model

Planned future modes:

  1. OPF mode: (under development): an optimal power flow model
  2. DART mode: (under development): a bilevel market model for simulating day-ahead 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., Gurobi and CPLEX) solver packages.

Model Cases Library

Input data and configuration files for running HOPE are maintained in a separate repository: HOPEModelCases. It includes cases spanning a range of test systems (IEEE 14/118, RTS-24, ISO-NE, PJM, Germany) and study questions including expansion planning, production cost modeling, resource aggregation, and holistic planning runs.

See Installation for setup instructions.

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 contributors for Version 1 include Dr. Shen Wang, Dr. Mahdi Mehrtash, and Zoe Song.

The current HOPE model is also maintained by researchers at MIT, including Shen Wang, Dr. Juan Senga, and Prof. Christopher Knittel.