The complexity, heterogeneity and scale of electrical networks have grown far beyond the limits of exclusively human-based management at the Smart Grid (SG). Likewise, researchers cogitate the use of artificial intelligence and heuristics techniques to create cognitive and autonomic management tools that aim better assist and enhance SG management processes like in the grid reconfiguration. The development of self-healing management approaches towards a cognitive and autonomic distribution power network reconfiguration is a scenario in which the scalability and on-the-fly computation are issues. This paper proposes the use of Case-Based Reasoning (CBR) coupled with the HATSGA algorithm for the fast reconfiguration of large distribution power networks. The suitability and the scalability of the CBR-based reconfiguration strategy using HATSGA algorithm are evaluated. The evaluation indicates that the adopted HATSGA algorithm computes new reconfiguration topologies with a feasible computational time for large networks. The CBR strategy looks for managerial acceptable reconfiguration solutions at the CBR database and, as such, contributes to reduce the required number of reconfiguration computation using HATSGA. This suggests CBR can be applied with a fast reconfiguration algorithm resulting in more efficient, dynamic and cognitive grid recovery strategy.
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@cite_1: In the delivery of electricity from the generating station to the consumers, Power Distribution System (PDS) plays a major role. Electric power utilities worldwide are adopting the computer aided monitoring, control and management of PDS to provide better services to the consumers. Recent advances in Information Technology and data communication system are being utilized to automate the electric PDS. The next-generation electricity grid, which is the smart grid, is addressing the major shortcomings of the existing grid. In essence, the smart grid envisages providing utility companies with full visibility and control over their assets and services. This paper presents a review of automation of the Power systems with special emphasis on distribution automation, leading to a smarter grid. The distribution automation and distribution management system functions are discussed in detail and the emergence of a smart grid. The wide area monitoring and control implementation in the transmission sector is also touched upon. The paper also provides some insight into the expansion of laboratory facilities for smart grid implementation and research.
@cite_12: this paper explores distribution system automation, automatic reconfiguration after a disturbance and the impact on reliability in a ‘smart’ power distribution system. The use of network incidence or connectivity matrices is shown and an example indicates the potential operational capabilities of a ‘smart distribution system’. A discussion of the potential advantages of electronic switching in distribution engineering is also given. The connection with the Smart Grid initiative is made in the paper.
In recent years, significant research has been done to minimize power loss in the process of reconfiguring distribution power systems. The reconfiguring of distribution power system has a combinatorial nature and the search of the best computational time for supporting the decision-making process in real time has been focused on @cite_1 , @cite_12 , @cite_4 .