Open AccessApproach of generation fleet voltage schedule validation for power system voltage stability
Author(s) -
Javadi Milad,
Wu Di,
Jiang John N.
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.2016.1394
Subject(s) - schedule , electric power system , voltage , computer science , voltage regulation , generator (circuit theory) , voltage optimisation , ac power , electricity generation , reliability engineering , grid , renewable energy , engineering , automotive engineering , power (physics) , electrical engineering , physics , geometry , mathematics , quantum mechanics , operating system
In this study, the authors present an approach to validate the voltage schedule for operation of generation fleet within a balancing area managed by Independent System Operators/Regional Transmission Organizations or a balancing authority. An appropriate voltage schedule is an important requirement for the generator operators to maintain adequate VAR reserves and ensure the voltage stability. Based on current industry requirements, an empirical approach is developed to validate the voltage schedule following significant variations in generation pattern and load pattern, as possible results of integration of power generation from variable renewable resources or responsive demand. The approach can validate voltage schedule of generator fleet and transfer buses connected to the generator buses while monitoring the ranges of set‐point voltages and VAR levels of the generators. Moreover, they use the approach to investigate the impact of variations in the generation and load patterns on the voltage schedule in a real power grid. The findings are useful for an improved management of voltage stability, voltage schedule validation, and estimation of reactive power adequacy for operation support of future power grid with high penetration of renewables and responsive demands.