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

被引:33
作者
Morstyn, Thomas [1 ]
Collett, Katherine A. [1 ]
Vijay, Avinash [1 ]
Deakin, Matthew [2 ]
Wheeler, Scot [1 ]
Bhagavathy, Sivapriya M. [1 ]
Fele, Filiberto [1 ]
McCulloch, Malcolm D. [1 ]
机构
[1] Univ Oxford, Dept Engn Sci, Parks Rd, Oxford OX1 3PJ, England
[2] Newcastle Univ, Sch Engn, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England
基金
英国工程与自然科学研究理事会; “创新英国”项目;
关键词
Distributed energy resource; Distribution network; Modelling; !text type='Python']Python[!/text; Open-source software; Smart local energy system; DISTRIBUTION NETWORKS; OPTIMIZATION; INTEGRATION; TOOLS;
D O I
10.1016/j.apenergy.2020.115397
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This paper presents OPEN, an open-source software platform for integrated modelling, control and simulation of smart local energy systems. Electric power systems are undergoing a fundamental transition towards a significant proportion of generation and flexibility being provided by distributed energy resources. The concept of `smart local energy systems' brings together related strategies for localised management of distributed energy resources, including active distribution networks, microgrids, energy communities, multi-energy hubs, peer-to-peer trading platforms and virtual power plants. OPEN provides an extensible platform for developing and testing new smart local energy system management applications, helping to bridge the gap between academic research and industry translation. OPEN combines features for managing smart local energy systems which are not provided together by existing energy management tools, including multi-phase distribution network power flow, energy market modelling, nonlinear energy storage modelling and receding horizon optimisation. The platform is implemented in Python with an object-oriented structure, providing modularity and allowing it to be easily integrated with third-party packages. Case studies are presented, demonstrating how OPEN can be used for a range of smart local energy system applications due to its support of multiple model fidelities for simulation and control.
引用
收藏
页数:11
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