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Applications of optimization models for electricity distribution networks
Author(s) -
Claeys Sander,
Vanin Marta,
Geth Frederik,
Deconinck Geert
Publication year - 2021
Publication title -
wiley interdisciplinary reviews: energy and environment
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.158
H-Index - 35
eISSN - 2041-840X
pISSN - 2041-8396
DOI - 10.1002/wene.401
Subject(s) - benchmarking , computer science , electricity , electric power distribution , photovoltaic system , context (archaeology) , key (lock) , risk analysis (engineering) , systems engineering , distributed computing , engineering , computer security , voltage , electrical engineering , business , paleontology , marketing , biology
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