Open AccessOptimisation of dynamic reactive power sources using mesh adaptive direct search
Author(s) -
Huang Weihong,
Sun Kai,
Qi Junjian,
Ning Jiaxin
Publication year - 2017
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2016.1912
Subject(s) - solver , computer science , mathematical optimization , ac power , fault (geology) , electric power system , interconnection , voltage , convexity , control theory (sociology) , sizing , power (physics) , transient (computer programming) , mathematics , engineering , electrical engineering , quantum mechanics , physics , art , artificial intelligence , computer network , financial economics , visual arts , operating system , control (management) , seismology , economics , geology
Dynamic reactive power sources can be used to effectively mitigate the fault‐induced delayed voltage recovery and transient voltage instability issues. When many var sources need to be installed at planned locations, optimisation of their sizes is a complicated non‐linear optimisation problem due to its non‐convexity and the dependence of the constraint on time‐series trajectories of post‐fault voltages. Solving this optimal sizing problem needs to utilise both a non‐linear optimisation solver and a power system differential‐algebraic equation solver. This study proposes a new approach for solving this problem under both a single contingency and multiple contingencies by using the mesh adaptive direct search algorithm interfaced with a power system simulator. The proposed approach is validated by case studies on a North American Eastern Interconnection model to optimise the sizes of planned STATCOMs against critical contingencies.