In distribution systems, the distributed generator is renowned as a feasible solution in order to control the line losses, voltage stability, and bus voltage, etc. This paper concentrates on an advanced technique in order to position the distributed generator. It is exploited for minimization of the energy loss and active power loss for the distribution lines when concerning the voltage stability index and bus voltage. Based on the optimal positioning and sizing of the DGs, the optimization is performed. Here, a hybrid ABC and Bat Algorithm (HABC-BA) is presented to solve the optimal distributed generators allocation issue of distribution networks. The proposed HABC-BA method experimented on standard 33-bus, 69- bus in radial distribution networks to examine the possibility and efficiency. Hence, the experimental analysis shows that placement of distributed generators in the optimal position can extensively minimize the power loss in a DS Finally, the proposed method is compared with other meta-heuristic approaches such as GWO, WOA and PSO and the analysis exhibit that the proposed technique has the capability to find enhanced quality solutions.
Satish Kumar Injeti, "A Pareto optimal approach for allocation of distributed generators in radial distribution systems using improved differential search algorithm",Journal of Electrical Systems and Information Technology, vol. 5, no. 3, pp. 908-92, December 2018.
Tri Phuoc Nguyen, Dieu Ngoc Vo, "A novel stochastic fractal search algorithm for optimal allocation of distributed generators in radial distribution systems",Applied Soft Computing, vol. 70, pp. 773-796, September 2018.
Ashokkumar Lakum, Vasundhara Mahajan,"Optimal placement and sizing of multiple active power filters in radial distribution system using grey wolf optimizer in presence of nonlinear distributed generation", Electric Power Systems Research, vol. 173, pp. 281-290, August 2019.
Juan M. Home-Ortiz, Mahdi Pourakbari-Kasmaei, Matti Lehtonen, José Roberto Sanches Mantovani,"Optimal location-allocation of storage devices and renewable-based DG in distribution systems", Electric Power Systems Research, vol. 172, pp. 11-21, July 2019.
Imran Ahmad Quadri, S. Bhowmick, D. Joshi,"A comprehensive technique for optimal allocation of distributed energy resources in radial distribution systems", Applied Energy, vol. 211, pp. 1245-1260, 1 February 2018.
Haifeng HONG, Zhesheng HURuipeng GUO, Jun MA, Jiong TIAN, "Directed graph-based distribution network reconfiguration for operation mode adjustment and service restoration considering distributed generation",Journal of Modern Power Systems and Clean Energy, Volume 5, Issue 1, pp 142–149,January 2017.
Q. Sun, R. Han, H. Zhang, J. Zhou and J. M. Guerrero, "A Multiagent-Based Consensus Algorithm for Distributed Coordinated Control of Distributed Generators in the Energy Internet," IEEE Transactions on Smart Grid, vol. 6, no. 6, pp. 3006-3019, Nov. 2015.
Kamakshi Prashadini Swain, Mala De,"A novel electrical proximity index for voltage control in smart distribution system", Electric Power Systems Research, Volume 172, Pages 50-62, July 2019.
N. Acharya, P. Mahat, N. Mithulananthan, An analytical approach for DG allocation in primary distribution network, International Journal of Electrical Power and Energy Systems 28 (10), 669-678, 2006.
M. Chakravorty, D. Das, Voltage stability analysis of radial distribution networks, International Journal of Electrical Power and Energy Systems 23 (2), 129-135, 2001.
A. Rekaby, "Directed Artificial Bat Algorithm (DABA) - A new bio-inspired algorithm," 2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI), Mysore, 2013, pp. 1241- 1246.
A Shankar, N Jaisankar, Dynamicity of the scout bee phase for an Artificial Bee Colony for optimized cluster head and network parameters for energy efficient sensor routing", Simulation, vol. 94 (9), pp. 835-847, 2018.
SB Vinay Kumar, PV Rao, Manoj Kumar Singh,"Multi-culture diversity based self adaptive particle swarm optimization for optimal floorplanning",Multiagent and Grid Systems, vol14, no.1, pp.31-65, 2018.
Singh, Gurinderpal & Jain, V.K. & Singh, Amanpreet. (2018). A prediction model for the smart Industries, aiding photovoltaic integrated greenhouse system in biogas heating. Computers & Electrical Engineering. 10.1016/j.compeleceng.2017.12.042.
RT Satish, KT Reddy, "A technique to find optimal location for wavelet-based image watermarking using genetic algorithm",Machine Graphics & Vision International Journal,vol. 20 (2), pp.173-196, 2011.
SKM Shareef, RS Rao, "Optimal reactive power dispatch under unbalanced conditions using hybrid swarm intelligence", Computers & Electrical Engineering, vol.69, pp.183-193, 2018.
N. Misthulananthan, O. Than, V.P. Le, Distributed generator placement in power distribution system using genetic algorithm to reduce losses, Thammasat International Journal of Science and Techonology 9 (3) (2004) 55–62
A. Keane, M. O’Malley, Optimal distributed generation plant mix with novel loss adjustment factors, IEEE Power Engineering Society General Meeting (2006).
A. Borghetti, A mixed-integer linear programming approach for the computation of the minimum-losses radial configuration, IEEE Transactions on Power System 27 (3) (2012) 1264-73.
A.C. Rueda-Medina, J.F. Franco, M.J. Rider, A.P. Feltrin, R. Romero, A mixed-integerlinear programming approach for optimal type, size and allocation of distributed generation in radial distribution systems, Electric Power System Research 97 (2013), 133–143.
T. Gozel, M.H. Hocaoglu, An analytical method for the sizing and sitting of distributed generators in radial systems, Electric Power System Research 79(6) (2009) 912-918.
H. Khan, A.C. Mohammad, Implementation of distributed generation (IDG) algorithm for performance enhancement of distribution feeder under extreme load growth, International Journal of Electrical Power and Energy Systems 32 (9) (2010) 985-97.
Buy article PDF