Open AccessEstimating B‐coefficients of power loss formula considering volatile power injections: an enhanced least square approach
Author(s) -
Liu Bin,
Liu Feng,
Wei Wei,
Wang Jingran
Publication year - 2018
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.2017.1496
Subject(s) - electric power system , power (physics) , square (algebra) , mathematical optimization , power flow , mathematics , power loss , control theory (sociology) , renewable energy , statistics , computer science , engineering , electrical engineering , thermodynamics , physics , geometry , control (management) , artificial intelligence
In power system analysis and optimisation, the B‐coefficient loss formula is frequently used to estimate network losses. However, given the rapidly increasing penetration of renewable generations and responsive demands, nodal power injections of modern power systems appear to be highly variable, deteriorating the accuracy of the traditional B‐coefficients loss formula. To address this issue, several typical variants of direct current power flow approximations combining with two different least square methods are streamlined in a unified framework, spawning several improved least square‐based methods to estimate B‐coefficients in network loss formula. The improved methods relax the restrictive assumption in existing literature that bus load is linearly dependent on system load, and account for load distribution variability, hence remarkably enhance the accuracy of B‐coefficients estimation with highly volatile nodal power injections. Case studies performed on IEEE‐39 and RTS‐96 bus systems demonstrate that the enhanced methods outperform traditional ones.