Multiple DG Placement in Radial Bus System using Weight Adaptive Swarm Intelligence to Improve Voltage Profile
Nitin Khajuria1, Satyanand Vishwakarma2, Rohit Kumar3
1Nitin Khajuria, Department of Electrical Engineering, Chandigarh University, Mohali, India.
2Satyanand Vishwakarma, Department of Electrical Engineering, Chandigarh University, Mohali, India.
3Rohit Kumar, Department of Electrical Engineering, Chandigarh University, Mohali, India.
Manuscript received on 10 April 2019 | Revised Manuscript received on 17 April 2019 | Manuscript Published on 26 July 2019 | PP: 968-973 | Volume-8 Issue-6S4 April 2019 | Retrieval Number: F11980486S419/19©BEIESP | DOI: 10.35940/ijitee.F1198.0486S419
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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: Methods found in the literature are regularly not capable of concurrently examine financial and technical oriented benefits for multi-location DG placement systems. Therefore an effective system is presented to such benefits as for multiple DG placements. Particle Swarm Optimization (PSO) is extensively used to optimize dimensional data in number of applications due to its fast searching and converging property to optimal solution and hence used in finding optimal location for multi DG placement. It is tested on 33 IEEE bus systems in which three initial locations are selected on random basis for DG placement and power flow analysis is done to evaluate electricity losses and voltage profile at all buses. Then PSO is used to find the optimal locations which give high values of voltage profile then initial configuration and proposed three best effective, beneficial locations where there are minimum electricity losses and high voltage profile indices. For speedy convergence of the algorithm adaptive weight parameter is used instead of fixed weight. Experimental results have been carried out for IEEE 33 radial bus in which type-1 DG placement is considered. With optimized locations, new switch-ties gives 70.4 % less power loss than the initial tied switches.
Keywords: DG Placement, 33 IEEE Radial Bus, Distributed Generation, Optimal Location, PSO, Newton-Raphson.
Scope of the Article: Big Data Analytics and Business Intelligence