Multiobjective service restoration in distribution system using fuzzy decision algorithm and node-depth encoding

Achieving a target level for reliability in a distribution system requires a good service restoration that usually comes with a number of objectives and constraints. To overcome the problem of service restoration following a power outage with multiple objectives, a restoration approach based on fuzzy goal, fuzzy constraints and fuzzy decisions is developed while respecting practical constraints. The constraints considered in this paper include feeder and lateral capability, restore load, voltage lower limits, and power balance equations. A node-depth search is also developed to reconfigure the system and to efficiently validate radial topology. To demonstrate the effectiveness of the proposed fuzzy approach, service restoration a large-scaled interconnected distribution system within the service area of Metropolitan Electricity Authority (MEA) is demonstrated. It is found that, following a fault event, a proper restoration plan can be reached very efficiently. Therefore, the proposed approach can provide valuable information decision support and flexibility to distribution system operators in reaching a service restoration plan in restoration scheduling of distribution systems.