||Advanced analytical applications for global controls and optimization of distribution systems have not been widely adopted by utilities because of lacking real-time complete system models. With the deployment of smart grid initiatives, more Intelligent Electronic Devices (IED) with two-way communications are being employed, so the amount of quasi real-time data gathered at different rates by various automation systems is increasing. In the customer side, more Advanced Metering Infrastructures (AMIs) are expected to be installed. AMI data can be utilized by Distribution System Operator (DSO) to obtain a more accurate load model.|
With effective integration of data from IED, AMI, as well as feeder and substation automation systems, a series of steady state snapshots distribution system state estimations (DSSE) will be a key feature to enable real-time optimization, adaptive protection and control, voltage control, demand response, and many other smart grid features. This thesis briefly reviews the state of the art of DSSE methods, as well as comparison study of WLS based DSSE, focusing on the requirements for smart distribution grid applications, the effects of distribution network characteristics, and bad data effects on estimator results.