4.6 Article

Modelling and Simulation Approaches for Local Energy Community Integrated Distribution Networks

期刊

IEEE ACCESS
卷 10, 期 -, 页码 3775-3789

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2022.3140237

关键词

Energy management; Biological system modeling; Peer-to-peer computing; Real-time systems; Distribution networks; Optimization; Microgrids; Battery energy storage system; community manager; distribution system operator; energy management system; prosumers; photovoltaic; local energy community

资金

  1. Project Consortium of the Research Project FINE-Flexible Integration of Local Energy Communities into the Norwegian Electricity Distribution System'' - Research Council of Norway [308833]

向作者/读者索取更多资源

This paper aims to investigate and explore the holistic modelling and simulation approaches of local energy communities (LEC) to assess the implications of LEC integration for the distribution grid and wider society. By considering different layers of market, controller, and grid, a comprehensive understanding of LEC operation can be achieved.
Due to the absence of studies of local energy communities (LECs) where the grid is represented, it is very difficult to infer implications of increased LEC integration for the distribution grid as well as for the wider society. Therefore, this paper aims to investigate holistic modelling and simulation approaches of LECs. To conduct a quantifiable assessment of different control architectures, LEC types and market frameworks, a flexible and comprehensive LEC modelling and simulation approach is needed. Modelling LECs and the environment they operate in involves a holistic approach consisting of different layers: market, controller, and grid. The controller layer is relevant both for the overall energy management system of the LEC and the controllers of single components in a LEC. In this paper, the different LEC modelling approaches in the reviewed literature are presented, several multilayered concepts for LECs are proposed, and a case study is presented to illustrate a holistic simulation where the different layers interact.

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