A Centralized Framework for Self-Healing Control Actions in Smart Distribution Grids

چکیده مقاله

Uncertainty and complexity due to expanded adoption of renewable energy resources, distributed energy resources, as well as expanded electric transportation and dynamic demand response technologies in the power industry, present significant challenges in grid operations. It is thus required to develop smart protection and control actions for ensuring highly reliable and healthy electric power infrastructure by increasing resiliency against component failures or natural disasters, i.e. self-healing ability. Self-healing is a prominent characteristic of the smart grid. The self-healing technique is the important guarantee to implement the smart grid, also is the support of achieving the secure operation. This paper proposes a comprehensive design and operational planning framework to provide optimum self-healing control actions in a distribution system. The considered self-healing actions are reconfiguration of the distribution grid and, if needed, node and zone load-shedding. By the same token, the proposed algorithm determines the condition of the switching devices to effectively isolate a faulty zone and minimize the number of de-energized nodes and zones, while ensuring that the operative and electrical constraints of the system are not violated. In addition, a Genetic Algorithm (GA) has been used for making this optimal planning possible. Finally, for validation of the proposed method, a 38-node distribution network has been studied.

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