Performance Analysis Of Distributed Real Time Optimization Technique For Optimal Power Flow Problems

For conventional electric power system, penetration of high level of distributed generation is new challenge. Distributed energy resources produces on-site electricity, by which it reduces the requirement of new transmission line set up and also provides reduction of line losses. In earlier days, centralized optimization approaches have been the primary way of optimization of power system. In centralized approach of optimization, optimal power flow operation is performed by collecting information at central controller. But because of increase of size of power system and enhancement of distributed resources from demand side various problem arises in performing computation and control in centralized approach. Optimal operation of power flows are utilized in planning and scheduling of generation of power. Most of the non-conventional resources are located at the distribution grid. So to handle the uncertainness associated in renewable energy resources, load demands etc. there is a need of development of distributed algorithm for AC-optimization problems. This paper realizes in real time optimization and to track the time varying OPF problem and for numerical optimization method different quasi-Newton methods are used. For time varying loads there is a requirement of an algorithm technique that can track variant load on faster time scale. So, to address these challenges various approaches or techniques are presented.