Distributed service models for power system state estimation

Abstract

The main objective of this research work is to develop enhanced anytime anywhere accessible services for finding optimal locations for placement of phasor measurement units and to solve power system state estimation problem. The research is focused on the development of generalized service oriented model, which is flexible and customizable for solving power system problems exclusively. It is proposed to overcome the deployment overheads for the power system service providers in the deregulated environment. The proposed distributed service model has four components namely information, interaction, behaviour and service description. The generalized service oriented model is implemented using SOAP communication. The optimal PMU placement problem with power system reduction technique is considered as a case study to implement and to test the functionality of the proposed service oriented model. The main aim is to reduce the size of the considered power system network by eliminating the inner nodes and retaining the boundary nodes. The information component is ported into the Storage as a Service layer. The services are described and the behaviour component is implemented in the Software as a Service layer. Scalable Web service models have been developed for solving state estimation and optimal PMU placement problems and then exported to public cloud environments. The state estimation Web service is implemented using UDDI registry. Model-View-Controller approach is used to implement optimal PMU placement service. These power system services are uploaded to Platform as a Service cloud environments, Google App Engine and Windows Azure and their performance indices are assessed using the QoS parameters namely the Round Trip Time and Throughput. As the cloud dynamically allocates computational resources, any number of power system clients can be served with the power system services without any limitations. newline