Comprehensive Service Restoration Scheduling in Distribution System Using Apparent Impedance Based and Fuzzy Decision Algorithms

Abstract

The paper develops a tool to identify the fault type, the fault location, and an associated restoration procedure following a fault in a distribution system. These coupled tasks are important for electric power utilities to provide better services to their customers and to achieve a target reliability level. Fault type and fault location are identified by an apparent impedance-based method in which the linear relationship between the line impedance and distance is established. A service restoration with a number of objectives and constraints are solved by a fuzzy decision method. To demonstrate the effectiveness of the methodology, service restoration a large-scaled interconnected distribution system within the service area of Metropolitan Electricity Authority (MEA) is demonstrated. It found that, following a fault event, the fault type, the fault location and a proper restoration plan can be reached very efficiently and therefore provide valuable information decision support and flexibility to distribution system operators for restoration scheduling of distribution systems.