Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.822882
Title: Estimation of dynamic load model parameters using real-time measurements and a flexible phasor data concentrator
Author: Nechifor, Alexandru
ISNI:       0000 0005 0289 0526
Awarding Body: University of Manchester
Current Institution: University of Manchester
Date of Award: 2017
Availability of Full Text:
Access from EThOS:
Access from Institution:
Abstract:
This thesis presents the development of an advanced monitoring platform aimed at increasing the transmission/distribution network operator's understanding of load dynamics. The advanced monitoring platform is capable of real time estimation of dynamic load model parameters, based on measurements received from substation installed Phasor Measurement Units. The underlying communication infrastructure is represented by a Wide Area Measurement System enabled by flexible 4G routers running the Linux operating system. The thesis contributions include a new improved load model, a new Phasor Data Concentrator and development of the advanced monitoring platform according to enterprise standards. Results from both load modelling and data concentrator perspectives are seamlessly integrated into the platform, developed according to a set of enterprise standards ensuring high levels of scalability, reliability and security. Two exponential recovery load models from the existing literature (ERL1 and ERL2) are first presented and their limitations are investigated. The dynamics of ERL1 and ERL2 are modelled by first order differential equations, hence the inability to track the inherent oscillatory response of loads with a high share of induction motors. To address this shortcoming, a new improved load model (OCL) is proposed, comprising a second order differential equation. The mathematical framework for ERL1, ERL2 and OCL is rigorously derived and presented. Detailed testing and comparison of ERL1, ERL2 and OCL is undertaken using synthetic signals generated in Matlab, dynamic power system simulations in DIgSILENT, signals generated within a controlled laboratory environment, and real substation data. A new Phasor Data Concentrator (PDC) is developed, in order to gain full control over the Phasor Measurement Unit (PMU) data flow and reduce data processing delays. The new PDC uses a multiplexing technique to manage threads and significantly reduce latency. The data processing delays obtained for the new PDC are much lower than values reported in the available literature and values obtained during laboratory testing of another freely available PDC technology. The new improved load model and PDC are integrated into a real-time platform compatible to the Java EE7 enterprise standards. Benchmark tests show a high level of scalability and reliability for the resulting real-time load modelling platform.
Supervisor: Li, Haiyu Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.822882  DOI: Not available
Keywords: Java Enterprise Edition ; Phasor Data Concentrator ; Load Modelling ; Phasor Measurement Units
Share: