Work

HOPE: Holistic Optimization Program for Electricity

Year: 2024

Type: software-paper

Abstract: In this paper, we present a novel open-source electricity systems optimization tool, the Holistic Optimization Program for Electricity (HOPE), to assess emerging generation technology, inform policy design, and support planning. With a highly transparent, interpretable, and compact model design, HOPE easily allows user access and modification, serving its main goal to benefit users beyond engineer communities and facilitate collaboration across the science-policy boundary. By activating different modes, the current version of HOPE (v1.0) offers flexibility in serving as either a Generation and Transmission Expansion Planning tool (GTEP) or a Production Cost Modelling tool (PCM). It includes modelling features such as long-term resource investments, short-term system operations, and a detailed representation of policies across various levels of regulated institutions. This paper outlines the building blocks of the model and its software structure. Case study results from using HOPE for the state of Maryland as well as the Pennsylvania-New Jersey-Maryland (PJM) footprint are also provided.

Source: SoftwareX

DOI: 10.1016/j.softx.2024.101982

Authors: Shen Wang, Ziying Song, Mahdi Mehrtash, Benjamin F. Hobbs

Institutions: Johns Hopkins University, Massachusetts Institute of Technology, University of California San Diego, University of Nevada, Reno

Language: English

Topic: Electric Power System Optimization

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $970