Minimizing Loss in a Larger Distribution Network by Optimal Network Reconfiguration and DG Allotment using an Advanced Adaptive Differential Evolution
Arindam Roy1, Susmita Roy2, Partha P. Biswas3
1OArindam Roy, Principal Engineer, Litwin, Abudhabi, UAE.
2Susmita Roy, Pune University, Pune (Maharashtra)-411007, India.
3Partha P. Biswas, Nanyang Technological University, Singapore.
Manuscript received on September 15, 2018. | Revised Manuscript received on September 19, 2018. | Manuscript published on November 30, 2018. | PP: 14-21 | Volume-8 Issue-4, November 2018. | Retrieval Number: D3166118418/2018©BEIESP
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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: Power Loss minimization at the highest extent possible in an Electrical network is more important than generating the same lost power. Recent distribution network is expanding rapidly and power loss minimization is the challenging task to the automation system. This paper presents an advanced integrated optimal method for network reconfiguration along with distributed generation allocation in the large scale distribution system with an objective of minimization of network power loss and enhancement of system voltage stability & reliability as a consequence. Linear population size reduction technique of success history based adaptive differential evolution (L-SHADE) has been applied to execute this optimization assignment. In addition to the adaptation of scaling factor (F) and the crossover rate (CR) as in the previous algorithm SHADE , the control parameter population size (Np), over successive generations in the algorithm, is also linearly reduced. The algorithm optimizes DG size along with corresponding location (bus number) and also reconfigures the network simultaneously. Therefore, this optimization assignment is a combination of continuous (rating) and discrete (location) variables. IEEE 119 bus standard radial distribution network has been utilized for testing. The simulation results have been compared with that of other available equivalent algorithms in the large scale distribution system and found as the best among them.
Keywords: Larger Distribution System, Network Power Loss Minimization, Voltage Profile, Optimal Reconfiguration, Distributed Generation, L-SHADE Algorithm.