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A novel resource allocation model based on the modularity concept for resiliency enhancement in electric distribution networks
Author(s) -
Mousavizadeh Saeed,
Alahyari Arman,
Bolandi Tohid Ghanizadeh,
Haghifam MahmoudReza,
Siano Pierluigi
Publication year - 2021
Publication title -
international journal of energy research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.808
H-Index - 95
eISSN - 1099-114X
pISSN - 0363-907X
DOI - 10.1002/er.6676
Subject(s) - modularity (biology) , modular design , distributed computing , computer science , flexibility (engineering) , smart grid , process (computing) , grid , distributed generation , resource allocation , topology (electrical circuits) , engineering , computer network , renewable energy , electrical engineering , statistics , genetics , geometry , mathematics , biology , operating system
Summary Paying attention to the modularity feature of electric distribution systems improves their performance against severe events and makes an outstanding opportunity for resiliency enhancement. In this paper, a novel framework based on the modularity concept is proposed in which, by deploying smart grid technologies and forming efficient modules, effective and robust energy in distribution systems is provided. Optimal placement of distributed generation (DG) resources, load control options, switching devices, and tie lines are simultaneously incorporated in the proposed linear allocation model. To consider electrical and topological characteristics in the independent functioning of the formed modules, a path‐based method is employed. The effectiveness and computability of the proposed algorithm are examined by performing several simulations on two modified 37‐bus and 84‐bus test systems. The results demonstrate that the developed modular structure, by subdividing the system into several independent parts, creates more flexibility for the recovery process and facilitates the self‐healing capabilities.