A Mixed integer linear programming‐based distributed energy management for networked microgrids considering network operational objectives and constraints

Mixed integer linear programming (MILP)–based distributed energy management for networked microgrids embedded modern distribution systems is proposed. Considering the diverse ownership of microgrids, distributed energy resources (DERs) that interface directly with utilities and responsive loads, an...

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Vydané v:Energy systems integration Ročník 5; číslo 3; s. 320 - 337
Hlavní autori: Liu, Guodong, Ferrari, Maximiliano F., Chen, Yang
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Tianjin John Wiley & Sons, Inc 01.09.2023
Institution of Engineering and Technology (IET)
Wiley
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ISSN:2516-8401, 2516-8401
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Shrnutí:Mixed integer linear programming (MILP)–based distributed energy management for networked microgrids embedded modern distribution systems is proposed. Considering the diverse ownership of microgrids, distributed energy resources (DERs) that interface directly with utilities and responsive loads, an alternating direction method of multipliers–based distributed framework was formulated for the scheduling of networked microgrids embedded modern distribution systems by adjusting nodal price signals iteratively. In addition, to make the formulated optimization problems resolvable through more accessible and popular MILP solvers, different linearisation techniques were employed to transform the nonlinear terms into linear or mixed integer linear formats. The proposed MILP‐based distributed method preserves all participants' autonomy (e.g., microgrids, DERs that interface directly with utilities and responsive loads), while incentivising them to actively participate in the distribution system operation with price signals. The proposed method is validated with results of numerical simulation using a modern distribution system consisting of multiple networked microgrids, DERs that interface directly with utilities, as well as responsive loads.
Bibliografia:ObjectType-Article-1
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USDOE Office of Energy Efficiency and Renewable Energy (EERE)
DE‐FOA‐0002243‐2144; AC05-00OR22725; FOA‐0002243‐2144
ISSN:2516-8401
2516-8401
DOI:10.1049/esi2.12103