Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.738371
Title: State estimation of integrated power and gas distribution networks
Author: Hosseini, Seyed
ISNI:       0000 0004 7229 1126
Awarding Body: Cardiff University
Current Institution: Cardiff University
Date of Award: 2017
Availability of Full Text:
Access from EThOS:
Access from Institution:
Abstract:
Future energy networks are likely to be highly integrated with several energy conversion utilities operating between them, which make the control and management of the whole system more complicated. Therefore, analysis of operation and management of the whole system needs to be performed in an integrated approach. In order to perform an effective control and management of the whole system, an accurate and reliable estimation of the state parameters and the energy flows within the integrated network is essential. In this research simulation and state estimation of integrated power and gas distribution networks with decentralised injection and generation in both networks was investigated. For this purpose, state estimation of individual networks was first reviewed. Afterwards, state estimation of integrated power and gas distribution networks was studied. Firstly, an algorithm was developed for state estimation of power distribution networks, which was validated through a case study power distribution network. Afterwards, an algorithm for placement of additional measurements within power distribution networks for improvement of state estimation results was developed. The performance of the algorithm showed satisfactory results for placement of a given number of additional individual measurements and a given number of additional measurement units. Secondly, an algorithm was developed for simulation of operation of gas distribution networks with decentralised injection, which was validated with the results of the commercial software Synergi Gas. Then, an algorithm was developed for the WLS state estimation of gas distribution networks with decentralised injection, which was validated on a case study gas distribution network. Afterwards, an algorithm was developed for placement of additional measurements within gas distribution networks with decentralised injection for improvement of estimation of the gas mixtures within the network, which showed satisfactory results on a case study gas distribution network. Finally, an algorithm was developed for performing state estimation of power and gas distribution networks with decentralised injection and generation in both networks, which was validated on a case study power and gas distribution network. Afterwards, impact of deployment of smart meters on improvement of estimation of the state parameters of the other coupled network was investigated. It was observed that information from one of the energy networks has no significant impact on improvement of state estimation results of the other coupled network.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.738371  DOI: Not available
Share: