Nilanjan Roy Chowdhury , Anuj Kumar Rao , Yogesh Bichpuriya , Venkatesh Sarangan , Shreevardhan A. Soman
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引用次数: 0
Abstract
This paper introduces an online robust control algorithm, which regulates the voltage of a balanced power distribution network without any prior knowledge of the line parameter values. To model the underlying distribution network, we adopt the recently introduced (parameterized) lossy distribution flow equations, which allow us to characterize network losses. Our algorithm includes two components that work in tandem. The first component iteratively estimates the line parameters (i.e., network resistance and reactance) that are consistent with available voltage measurements, while the second component regulates the network voltage within the prescribed safe limit despite the uncertainty in the line parameter estimates. We theoretically prove that our algorithm estimates consistent line parameters and also certify that the number of times when the voltage violates the safe limits are bounded. Simulation studies on benchmark IEEE distribution networks verify that the proposed algorithm effectively estimates line parameters and stabilizes network voltage.
期刊介绍:
The European Control Association (EUCA) has among its objectives to promote the development of the discipline. Apart from the European Control Conferences, the European Journal of Control is the Association''s main channel for the dissemination of important contributions in the field.
The aim of the Journal is to publish high quality papers on the theory and practice of control and systems engineering.
The scope of the Journal will be wide and cover all aspects of the discipline including methodologies, techniques and applications.
Research in control and systems engineering is necessary to develop new concepts and tools which enhance our understanding and improve our ability to design and implement high performance control systems. Submitted papers should stress the practical motivations and relevance of their results.
The design and implementation of a successful control system requires the use of a range of techniques:
Modelling
Robustness Analysis
Identification
Optimization
Control Law Design
Numerical analysis
Fault Detection, and so on.