Software Development
Developed Software Tools
Developed Software Tools
[S4] Software: HOPE | Role: Main Developer | Access: Open-Source | Description: 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 GTEP mode (a generation & transmission expansion planning model) and PCM mode (a production cost model) [link]
[S4] Software: HOPE | Role: Main Developer | Access: Open-Source | Description: 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 GTEP mode (a generation & transmission expansion planning model) and PCM mode (a production cost model) [link]
[S3] Software: JHSMINE v2.0 | Role: Main Developer | Access: Proprietary | Description: The Johns Hopkins Stochastic Multistage Integrated Network Expansion (JHSMINE) model is a power system expansion planning model that considers several significant aspects of the capacity expansion planning problems such as unit commitment, linearized power flow, renewable energy policies, and energy trading credits. JHSMINE has been used in other projects such as WECC Land Use Projections, Sloan Foundation (2019-2022), WECC Temporal Granularity and Decomposition, EPRI (2019-2020), ERCOT Grid Modernization Laboratory Consortium Generation Transmission Downscaling, USDOE (2020-2022), among many others. The JHSMINE v2.0 has been coded in Julia programming language and includes new capabilities such as a long-duration storage model. [link]
[S3] Software: JHSMINE v2.0 | Role: Main Developer | Access: Proprietary | Description: The Johns Hopkins Stochastic Multistage Integrated Network Expansion (JHSMINE) model is a power system expansion planning model that considers several significant aspects of the capacity expansion planning problems such as unit commitment, linearized power flow, renewable energy policies, and energy trading credits. JHSMINE has been used in other projects such as WECC Land Use Projections, Sloan Foundation (2019-2022), WECC Temporal Granularity and Decomposition, EPRI (2019-2020), ERCOT Grid Modernization Laboratory Consortium Generation Transmission Downscaling, USDOE (2020-2022), among many others. The JHSMINE v2.0 has been coded in Julia programming language and includes new capabilities such as a long-duration storage model. [link]
[S2] Software: ACTEP Test System | Role: Main Developer | Access: Open-Source | Description: a new large-scale test system for Transmission Expansion Planning with AC Networks Model (ACTEP) studies. The proposed 1354-bus ACTEP system is based on Case1354pegase available in MATPOWER. The system is modified to be useful for ACTEP studies, and the candidate lines and candidate generating units are added to the system based on their role in improving the operation of the system. Global-TEP (a global solver for the ACTEP problem) is used to find the ACTEP global solutions with a guaranteed optimality gap. [link]
[S2] Software: ACTEP Test System | Role: Main Developer | Access: Open-Source | Description: a new large-scale test system for Transmission Expansion Planning with AC Networks Model (ACTEP) studies. The proposed 1354-bus ACTEP system is based on Case1354pegase available in MATPOWER. The system is modified to be useful for ACTEP studies, and the candidate lines and candidate generating units are added to the system based on their role in improving the operation of the system. Global-TEP (a global solver for the ACTEP problem) is used to find the ACTEP global solutions with a guaranteed optimality gap. [link]
[S1] Software: Global-TEP | Role: Main Developer | Access: Open-Source | Description: Global-TEP is a global solver for Transmission Expansion Planning (TEP) problem considering the AC model of the transmission network. Global-TEP codes are written in Julia 1.6 using JuMP v0.21.6 as the mathematical optimization modeling language. [link]
[S1] Software: Global-TEP | Role: Main Developer | Access: Open-Source | Description: Global-TEP is a global solver for Transmission Expansion Planning (TEP) problem considering the AC model of the transmission network. Global-TEP codes are written in Julia 1.6 using JuMP v0.21.6 as the mathematical optimization modeling language. [link]