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• W595782112 abstract "Significantly large integration of distributed generation (DG) is expected in future powersystems. Paving the way are the encouraging government policies, great concerns onenvironment and optimising economic benefits. This large integration is however raising alot of concern on stability, security and reliability of power system network which will createmany challenges in operating the network due to different characteristics possessed by DG.These concerns and operating challenges need to be investigated to identify the possibleproblems that may arise and then followed by finding a countermeasure for mitigation.Research work in this thesis addresses most important issues and challenges in operatingpower system with large DG penetration. The following research areas are performed:• Modeling of distributed generation: New technology embraces by DG has totallydifferent characteristics compared to conventional generation unit based onsynchronous machine, thus making it necessary to perform integration studies onvarious operational aspects to assess the influence of this small scale generation uniton the power system network operation and control. The studies require an accurateand easy to understand dynamic model which closely imitates the dynamics of a realDG unit. In this thesis, development of different dynamic models of micro turbinegeneration system, fuel cell generation system and a generalized DG dynamic modelto be used in power system studies is discussed. The performance of the modeldeveloped from the simulation results is found comparable to the reportedperformance in the literature.• DG fault ride-through capability: Due to different characteristics possessed by DG,power system operator imposed stringent requirements on the DG connected to thegrid. During critical time DG has to be able to withstand a temporary voltage dip dueto fault occurrence in the grid even when the voltage reaches zero at the point ofconnection. At the same time, during this fault ride-through DG must also help thegrid by injecting reactive power to support power system voltage recovery. Differenttypes of DG technologies are investigated if they are able to fulfil this requirementand if not exploring the necessary modifications which has to be made on the specificDG unit. The investigation results indicate that in fulfilling new grid coderequirements, modification inside DG power electronic converter hardware andcontroller is necessary.iii• Grid support by DG: Massive DG integration in distribution network will interferewith current practices and control scheme inside the network. With appropriatecoordination and control, this negative influence on network could be changed topositive. This thesis explores the possibility of participating DGs in voltageregulation and frequency control. Clearly the studies indicate that DG coupled to thegrid through power electronic converter has potential to positively contribute topower system voltage regulation and frequency stabilisation.• Influence of DG on power system stability under new grid codes: Powerelectronic converter utilised in DGs makes them have different characteristics inresponding to grid fault and they are also demanded to provide reactive supportduring this period. This characteristic and new rule is feared to negatively influencethe stability of a power system as to where these DG units are connected to. In thisthesis the most important types of stability are analysed with different levels of DGpenetration and control options. It can be concluded that if DG is properly locatedand controlled, DG integration will significantly improve the stability of powersystem network.• Predictive var management inside future distribution network: Futuredistribution network will contain large number of DG units and the network will beintegrated with advance communication facilities. This large number of DG willcreate technical challenges but the communication link available will provide theopportunity to control DG centrally in real time to optimise the benefits offered byDG integration. In this thesis, a predictive technique in managing DG reactive powerto reduce power loss and to control the voltage inside a distribution network isproposed and discussed. The effectiveness of the proposed approach which aredeveloped with two staged intelligent techniques namely, adaptive particle swarmoptimisation and artificial neural network, is demonstrated and the results are quitepromising." @default.
• W595782112 created "2016-06-24" @default.
• W595782112 creator A5002339093 @default.
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• W595782112 date "2011-02-23" @default.
• W595782112 modified "2023-09-23" @default.
• W595782112 title "Dynamic Simulation and Intelligent Management of Distributed Generation" @default.
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