Performance Analysis of Distributed Real Time Optimization Technique for Optimal Power Flow Problems
Shweta Singh1, Rajnish Bhasker2
1Shweta Singh, Department of Electrical Engineering, UNSIET,VBS Purvanchal University, Jaunpur (Uttar Pradesh), India.
2Rajnish Bhasker, Department of Electrical Engineering, UNSIET,VBS Purvanchal University, Jaunpur (Uttar Pradesh), India.
Manuscript received on 28 September 2019 | Revised Manuscript received on 10 November 2019 | Manuscript Published on 22 November 2019 | PP: 1380-1384 | Volume-8 Issue-6S3 September 2019 | Retrieval Number: F12450986S319/19©BEIESP | DOI: 10.35940/ijeat.F1245.0986S319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Power Optimization, Distributed Optimization Technique, Real Time Optimization, Electric Power Grid.
Scope of the Article: Multimedia and Real-Time Communication