Open AccessMixed‐integer second‐order cone programming taking appropriate approximation for the unit commitment in hybrid AC–DC grid
Author(s) -
Zhou Bo,
Ai Xiaomeng,
Fang Jiakun,
Wen Jingyu,
Yang Jianhua
Publication year - 2017
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2017.0574
Subject(s) - power flow , power system simulation , computer science , power (physics) , grid , alternating current , integer programming , electric power system , voltage , control theory (sociology) , mathematical optimization , integer (computer science) , electrical engineering , mathematics , algorithm , engineering , physics , control (management) , geometry , quantum mechanics , artificial intelligence , programming language
With the rapid development and deployment of voltage source converter based high‐voltage direct current, the traditional power system is evolving to the hybrid AC–DC grid. New optimisation methods are urgently needed for these hybrid AC–DC power systems. In this study, mixed‐integer second‐order cone programming (MISOCP) for the hybrid AC–DC power systems is proposed. The second‐order cone relaxation is adopted to transform the AC and DC power flow constraints to MISOCP. Several IEEE test systems are used to validate the proposed MISCOP formulation of the optimal power flow and unit commitment in the hybrid AC–DC power systems.