Abstract
The smart grid concept has emerged as a result of the requirement for renewable energy resources and application of new techniques. It is proposed as a practical future form of power distribution system. Evaluating the reliability of smart grids is of great importance and significance. Focusing on the perspective of the consumers, this paper proposes a layered fault tree model to distinguish and separate two different smart grid power supply modes. Revised importance measures for the components in the fault tree are presented considering load priority, aiming to find the weak parts of the system and to improve the design and using. A corresponding hierarchical Monte Carlo simulation procedure for reliability evaluation is proposed based on the layered fault tree model. The method proposed in this paper is tested on a case of reliability assessment for the Future Renewable Electric Energy Delivery and Management (FREEDM) system. The proposed technique can be applicable to other forms of smart grids.
Highlights
Smart grids, called smart electrical/power grids or intelligent grids, are an enhancement of the traditional power grid
With the priority factor considered for smart grid system, substitute modified Loss of load probability LOLP for LOLP, and the revised network risk achievement worth (NRAW+) and network risk reduction worth (NRRW+) for smart grid system are as: NL
Based on the layered fault tree model proposed for smart grids, this paper presents a hierarchical simulation strategy to assess fault tree model built for the load points, in order to evaluate the reliability of the overall system
Summary
Called smart electrical/power grids or intelligent grids, are an enhancement of the traditional power grid. An innovative generalized systematic approach and related analytical formulation are presented in [12] to evaluate distribution system reliability in smart grids, where islanded operation of microgrids helps improve local and overall reliability. A modified layered fault tree model is proposed, aiming to distinguish and separate the two different power supply modes of smart grids, namely grid-connected mode and islanded mode. The focus in this paper concentrates on the load points within a potential islanded local framework of a specific smart grid architecture. Tree model, a hierarchical Monte Carlo simulation procedure for reliability evaluation is proposed, which integrates the state transition process of different power supply modes. Compared with currently existing methods, the proposed model and reliability evaluation process integrate power adequacy assessment into system failure logic, providing a comprehensive insight into system and its failure.
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