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Title: Management strategy for SmartGrid : a cluster system analysis method
Author: Wirasanti, Paramet
ISNI:       0000 0004 5367 8659
Awarding Body: University of Bolton
Current Institution: University of Bolton
Date of Award: 2014
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Recently, Distributed Generation (DG) technologies become more potential in electricity supply contributors to electric utilities. It leads to increase the grid integration ratio of DG. Thus, the trend of decentralized power systems has been considered as a future of energy supply systems. According to this fact, the distribution systems must be changed from a passive control area to be an active control area. To overcome and realize this issue, the clustering power systems approach is developed. The main idea of this concept is to coexist the DG with the conventional power systems. Therefore, the system structure and the control approach are introduced and developed based on the conventional system. The cluster network structure keeps the main idea of conventional interconnected grid. Consequently, the clustering power systems concept intends to cluster the power systems into several areas, called cluster area. As a direct result, the cluster network structure can be described like the interconnected grids. In order to empower and turn the ordinary passive distribution system to be the active system, the clustering approach announces the distribution management system (DMS) for the cluster automation application. The DMS application is the cluster controller and management, which applies in each cluster area. To accomplish the DMS functionality, control functions based on cluster concept have been developed continuously, e.g. the multi-level clusters control approach. Besides the development of cluster control approach, a cluster analysis strategy is cautiously considered as well, since it is a key to complete a cluster management and an optimization process. A hybrid calculation technique is consequently proposed to be a solution for cluster analysis, because it offers a possibility to integrate a character of interconnected clusters into the analysis. Hence, the cluster analysis can be employed in a decoupling way. To evolve the cluster analysis, a character of distribution network has to be taken into account. The character of distribution network is dominated by the unbalanced condition e.g. multi-phase feeder system. Moreover, the penetration of DG units can cause unbalanced condition as well, e.g. single phase feed in of home PV systems. To deal with unbalanced condition, an asymmetrical sequence hybrid and asymmetrical three-phase fourwire hybrid analysis method is rolled out, both are developed based on a difference issue of load flow studies. All in all, the cluster analysis is a key to execute optimization and management process of cluster system operation as well as the supervisory of automated cluster control application. Finally, the proposed hybrid analysis is ready to be the main function in order to ensure and forwards the development of clustering power systems philosophy to be one of the best solutions for the future smart gird applications.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available