OPEN: An open-source platform for developing smart local energy system applications

Morstyn, Thomas; Collett, Katherine A.; Vijay, Avinash; Deakin, Matthew; Wheeler, Scot; Bhagavathy, Sivapriya Mothilal; Fele, Filiberto; McCulloch, Malcolm

doi:10.1016/j.apenergy.2020.115397

Cited by 38 publications

(20 citation statements)

References 42 publications

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“…Power flow solvers are a key technology for the simulation of power networks. A large variety of commercial, for example, Digsilent PowerFactory, PSS/Sincal, CYME, and open, for example, OpenDSS (Dugan & McDermott, 2011), GridLab‐D, OPEN (Morstyn et al, 2020), pandapower (Thurner et al, 2018), and unbalanced power flow tools are available. An even larger number of open source energy tools do not actually include an unbalanced power flow solver despite sometimes being used in the context of power distribution modeling, for example, HOMER, Calliope, OSeMOSYS, PLEXOS, TIMES, and PowerGAMA use active power only/power balance approaches.…”

Section: Flexible Toolchains and Reproducible Resultsmentioning

confidence: 99%

“…To the best of the authors' knowledge, there is no commercial tool for nonlinear optimization of unbalanced distribution networks, however there are two open-source tools: PowerModelsDistribution (Fobes et al, 2020) and Open-DSOPF (Rigoni & Keane, 2020). OPEN (Morstyn et al, 2020) supports the linearized multiphase extension of the Dis-tFlow equations, but does not include an exact nonlinear optimization model. Figure 8 shows how these fit within a complete tool chain for distribution network optimization.…”

Section: Discussion Of Optimization Toolboxesmentioning

confidence: 99%

“…An even larger number of open source energy tools do not actually include an unbalanced power flow solver despite sometimes being used in the context of power distribution modeling, for example, HOMER, Calliope, OSeMOSYS, PLEXOS, TIMES, and PowerGAMA use active power only/power balance approaches. We refer to Morstyn et al (2020), Gao et al (2017), and Czekster (2020) for detailed comparisons of tools with distribution modeling support.…”

Section: Power Flow Toolsmentioning

confidence: 99%

See 2 more Smart Citations

Applications of optimization models for electricity distribution networks

Claeys

Vanin

Geth

2021

WIREs Energy & Environment

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Increased penetration of low‐carbon technologies, such as residential photovoltaic systems, electric vehicles, and batteries, can potentially cause voltage quality issues in distribution networks. Active distribution networks adopt control schemes where these assets are actively managed to prevent potential issues, increasing the network utilization. Mathematical optimization is a key technology in enabling such applications, either directly as the underlying solution, or for benchmarking effectiveness. As networks are operated closer to their engineering limits, models representing distribution network physics become increasingly important. This article reviews how distribution networks are modeled with varying degrees of detail in the context of optimization problems. It goes on to catalog the applications that use such models, and ends with an overview of toolchains to implement them, to enable the transition from the passive to active management of the distribution system. This article is categorized under: Energy Systems Analysis > Systems and Infrastructure

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Section: Flexible Toolchains and Reproducible Resultsmentioning

confidence: 99%

Section: Discussion Of Optimization Toolboxesmentioning

confidence: 99%

Section: Power Flow Toolsmentioning

confidence: 99%

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Applications of optimization models for electricity distribution networks

Claeys

Vanin

Geth

2021

WIREs Energy & Environment

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“…More recently, the Open Platform for Energy Networks (OPEN) from Oxford was released to facilitate simulation and optimization of smart local energy systems, including electric vehicle charging [19]. OPEN supports model predictive control algorithms at the distribution feeder level and unbalanced three-phase infrastructure.…”

Section: Existing Simulatorsmentioning

confidence: 99%

ACN-Sim: An Open-Source Simulator for Data-Driven Electric Vehicle Charging Research

Lee

Sharma

Johansson

et al. 2021

IEEE Trans. Smart Grid

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ACN-Sim is a data-driven, open-source simulation environment designed to accelerate research in the field of smart electric vehicle (EV) charging. It fills the need in this community for a widely available, realistic simulation environment in which researchers can evaluate algorithms and test assumptions. ACN-Sim provides a modular, extensible architecture, which models the complexity of real charging systems, including battery charging behavior and unbalanced three-phase infrastructure. It also integrates with a broader ecosystem of research tools. These include ACN-Data, an open dataset of EV charging sessions, which provides realistic simulation scenarios, and ACN-Live, a framework for field-testing charging algorithms. It also integrates with grid simulators like MATPOWER, PandaPower and OpenDSS, and OpenAI Gym for training reinforcement learning agents.

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“…-The Open Platform for Energy Networks (OPEN) [112] uses pandapower internally and presents two examples for modellers, one consisting of an EV set up, and another mimicking an EMS.…”

Section: Power/telecommunications Co-simulation Enginesmentioning

confidence: 99%

Tools for modelling and simulating the Smart Grid

Czekster

2020

Preprint

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The Smart Grid (SG) is a Cyber-Physical System (CPS) considered a critical infrastructure divided into cyber (software) and physical (hardware) counterparts that complement each other. It is responsible for timely power provision wrapped by Information and Communication Technologies (ICT) for handling bi-directional energy flows in electric power grids. Enacting control and performance over the massive infrastructure of the SG requires convenient analysis methods. Modelling and simulation (M&S) is a performance evaluation technique used to study virtually any system by testing designs and artificially creating 'what-if' scenarios for system reasoning and advanced analysis. M&S avoids stressing the actual physical infrastructure and systems in production by addressing the problem in a purely computational perspective. Present work compiles a non-exhaustive list of tools for M&S of interest when tackling SG capabilities. Our contribution is to delineate available options for modellers when considering power systems in combination with ICT. We also show the auxiliary tools and details of most relevant solutions pointing out major features and combinations over the years.

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OPEN: An open-source platform for developing smart local energy system applications

Cited by 38 publications

References 42 publications

Applications of optimization models for electricity distribution networks

Applications of optimization models for electricity distribution networks

ACN-Sim: An Open-Source Simulator for Data-Driven Electric Vehicle Charging Research

Tools for modelling and simulating the Smart Grid

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