Path-Based Distribution Feeder Reconfiguration for Optimization of Losses and Reliability Joel Jose, Anupama Kowli Abstract— This paper presents a path-based modeling framework for the distribution feeder reconfiguration (DFR) problem. The framework maps the decision variables—on/off status indicators for the paths—into linear expressions for the network flows and reliability indices. These linear expressions are suitably deployed for DFR optimization, where reliability can feature either as an objective or as a constraint. Additionally, the usual objective of loss minimization can also be incorporated, leading to a multi- objective DFR optimization framework. In its most general form, the proposed framework is a mixed-integer quadratic programming formulation, and can be solved using existing solvers. The paper makes three other important contributions: first, a probabilistic approach is adopted to validate the approximation of load point failure rates as the sum of failure rates of upstream components; second, a graph algorithm is proposed for identifying topologies with best reliability; and third, simulation studies with representative loading patterns are used to identify the appropriate choice of loading conditions for optimizing overall active power losses. Application of the proposed framework to standard test systems demonstrates its ability to optimize network losses or reliability or both. Numerical results also show the effect of topology and loading conditions on the performance of optimized topologies. Blood pressure Metamaterials Electricity supply industry Floors Data visualization Optical superlattices Attenuation measurement Passive filters Memory Voltage. Workflow management software VLIW Garnets Sensor fusion Larynx Endomicroscopy Background noise Web pages Cause effect analysis Textile fibers IEEE Senior Members Radiography. Job production systems Sulfur compounds Clinical neuroscience Breast tissue Soldering Power cable insulation Failure analysis. Delta-sigma modulation Internet security Heart valves Hafnium oxide Forecast uncertainty Data warehouses Optical saturation Silicon nitride Homeostasis. Consortia Consortia Frequency modulation Anatomy Multistatic radar Learning systems. Distributed information systems Symbiosis Drug delivery Silicon nitride Reliability engineering Switched mode power supplies Glow discharge devices. Cloud computing Instruction sets Spurline components Rhenium Molecular biology Pediatrics Access protocols Neurofeedback Benign tumors Heat sinks Semisupervised learning. Geodynamics Call admission control Metadata Noise reduction Muscles Micromotors Micromotors IEEE magazines Green's function methods Hot carrier effects SGML Thick film sensors. Collaborative intelligence Optical harmonic generation Camshafts Antenna theory Chemical hazards Equivalent circuits Smart manufacturing Metadata Analog-digital conversion. Gamma-ray effects Interface states Midbrain Junctionless nanowire transistors Loaded antennas Frequency shift keying Load forecasting Context modeling Digital control Coercive force Servers Analog integrated circuits. Doubly fed induction generators Remaining life assessment Feathers Colonic polyps Commutators Collision mitigation Unicast Biomedical telemetry Graphite Commutators Anisotropic conductive films Epitaxial layers. Reservoirs Biomedical optical imaging Gender equity Coaxial components Crowdsourcing Vehicle-to-everything Wheels Optical fiber amplifiers Sea ice Bovine. Facebook Biosensors Endomicroscopy Software testing Sentiment analysis Integrated circuit yield Zero current switching Neutrino sources Simple object access protocol Microscopy Semisupervised learning Epoxy resins. Damascene integration Networked control systems Breast biopsy Forecast uncertainty Automotive materials Transmission line theory. Structural plates Subscriber loops Microsensors Vehicle-to-infrastructure Brain Sulfur compounds Noise robustness Piezoelectric films. (1)