Open AccessMulti‐objective reactive power optimisation approach for the isolated grid of new energy clusters connected to VSC‐HVDC
Author(s) -
Yin Shengli,
Wu Linlin,
Song Wei,
Wang Xiao
Publication year - 2017
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2017.0484
Subject(s) - ac power , computer science , margin (machine learning) , particle swarm optimization , voltage , electric power system , power (physics) , grid , control theory (sociology) , energy (signal processing) , voltage optimisation , control (management) , engineering , algorithm , electrical engineering , mathematics , artificial intelligence , statistics , physics , geometry , quantum mechanics , machine learning
It is known that reactive power optimisation is of great significance to improve the electrical power quality. How the security, reliability, and economy of the system can be effectively improved by reactive power optimisation has attracted the attention of scholars. In this study, according to the characteristics of an isolated grid of the new energy clusters connected to voltage source converter‐based high‐voltage direct current, the multi‐objective reactive power optimisation model, which takes the network loss, and the reactive power margin of new energy clusters into consideration, is established. In particular, the maximisation of reactive power margin of new energy clusters is chosen as one goal, thus the response speed of voltage control can be effectively improved, and the preventive control of transient voltage stability of new energy clusters will be realised. Afterwards, using the weighted method the multi‐objective optimisation model can be transformed into a single‐objective optimisation model and the particle swarm algorithm is utilised to obtain the optimal solution. Finally, the simulation results show that the reactive power optimisation approach proposed can effectively reduce the network loss of the system, increase the reactive power margin of the new energy clusters, and improve the quality of the system voltage.