HOPE: Holistic Optimization Program for Electricity

IF 2.4 4区计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING

SoftwareX Pub Date : 2024-11-21 DOI:10.1016/j.softx.2024.101982

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

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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.

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HOPE：电力整体优化计划

在本文中，我们介绍了一种新颖的开源电力系统优化工具--电力整体优化程序（HOPE），用于评估新兴发电技术、为政策设计提供信息并支持规划。HOPE 采用高度透明、可解释和紧凑的模型设计，允许用户轻松访问和修改，其主要目标是使工程师群体以外的用户受益，并促进科学与政策之间的合作。通过激活不同的模式，当前版本的 HOPE（v1.0）可灵活用作发电和输电扩展规划工具（GTEP）或生产成本建模工具（PCM）。它包括长期资源投资、短期系统运行等建模功能，以及各级监管机构政策的详细表述。本文概述了该模型的构件及其软件结构。此外，还提供了使用 HOPE 对马里兰州以及宾夕法尼亚州-新泽西州-马里兰州 (PJM) 范围进行案例研究的结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

SoftwareX COMPUTER SCIENCE, SOFTWARE ENGINEERING-

CiteScore

5.50

自引率

2.90%

发文量

184

审稿时长

9 weeks

期刊介绍： SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.