Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.713572
Title: Operational security monitoring technology and cooperative control principles for complex industrial processes
Author: Yin, Xin
ISNI:       0000 0004 6351 4949
Awarding Body: University of Manchester
Current Institution: University of Manchester
Date of Award: 2016
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Abstract:
The development of modern process industries, and increasingly fierce competition in the world market, has inevitably led to new demands on process control from industrial sectors. An important question for process control is how to secure the security operation of complex industries. The power system is one of the most complex industrial systems in the world, and faults in transmission lines pose a threat to the safe and stable operation of power systems. An inspection and monitoring system for transmission lines is proposed in this thesis, and, as a case study, a comprehensive early-warning scheme for assessing the icing condition of transmission lines with probability density function (PDF) based image recognition technology is carried out. In addition, fault location technologies for both transmission lines and distribution networks are discussed as another important component of the operational security of power systems. These provide fault location methods based on distribution characteristics of faulty currents in optical ground wire (OPGW) and the travelling wave scheme with distribution generations. Finally, control algorithms for optimising the power distribution network are also discussed. Cooperative control, based upon physical network connectivity, is proposed. This is used to maintain a group of generators operating at the identical ratio in terms of their available power, which is known as fair utilisation.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.713572  DOI: Not available
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