Minimizing loss in Larger Distribution Networks by Optimal Allotment of DG and Capacitor using an Advanced Adaptive Differential Evolution
Arindam Roy1, Susmita Roy2, Partha P. Biswas3
1Arindam Roy, Jadavpur University, Kolkata (West Bengal) India.
2Susmita Roy, Pune University, Pune (Maharashtra) India.
3Partha P Biswas, Nanyang Technological University, Nanyang Ave, Singapore
Manuscript received on January 02, 2019. | Revised Manuscript received on January 05, 2019. | Manuscript published on January 30, 2019. | PP: 21-31 | Volume-8 Issue-5, January 2019. | Retrieval Number: E3179018519
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© The Authors. Published By: 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: Minimization of Power Loss expenses of the rapidly expanding larger distribution network is always an attention for Electric Power Utilities. Moreover, if power loss can be minimized at the highest extent, network voltage improves inherently in overall, therefore enhancing the quality of power at the consumer end. This paper presents an integrated method for optimal allotment of distributed generation (DG) and shunt capacitor (SC) simultaneously in the largescale distribution system with the primary objective to minimize the network power loss. To perform this task of optimization, one latest algorithm named L-SHADE, linear population size reduction technique of success history based adaptive differential evolution, has been utilized. This is an advanced one of the previous Differential Evolution algorithm, namely SHADE [17] where the control parameters scaling factor (F) and the crossover rate (CR) are only adapted. In L-SHADE [18], the control parameter population size (Np) is also reduced linearly over successive generations. The algorithm optimizes the rating (continuous variable) and corresponding bus number (discrete variable) for both DG and SC. IEEE 69 bus, 119 bus standard distribution networks and a practical 83 bus distribution network have been studied. The simulation results have been compared with similar equivalent algorithms in the largescale distribution system and found as the best among them.
Keywords: Power loss minimization, Larger Distribution networks, voltage profile, distributed generation, shunt capacitor, L-SHADE algorithm.