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Impact of Storage Devices with Renewable Integrated Distribution Network for Power Loss Minimization
Author(s) -
Bharat Singh,
Satyaveer Singh Rawat
Publication year - 2021
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.c2265.0210321
Subject(s) - renewable energy , minification , energy storage , computer science , particle swarm optimization , electric power system , distributed generation , automotive engineering , power (physics) , electrical engineering , engineering , algorithm , physics , quantum mechanics , programming language
The intermittent behaviour of renewable energy generation has become an essential issue for power deficiency in the distribution network. The high penetration of wind and solar became the primary task for the optimal size of energy storage to support the power mismatch. In the present work, the impact of the energy storage device with distribution generation (DGs) have been determined in a renewable integrated distribution system for power loss minimization. The main contribution of this paper is: (i) optimal location of DGs and battery are obtained by solving single and multi-objective functions. (ii) Determination of DG and battery size for minimization of power loss and system cost. (iii) Impact of battery energy storage device on loss profile and total cost of the system. The impact of day load variation has been considered in the study. The results have been obtained for IEEE-33 bus test system using a hybrid GAMS and particle swarm optimization (PSO) algorithm. The power loss is reduced to 47.60% with single DG and battery energy storage (BES). In addition, the power loss is reduced to 59.285% with two DGs and BES. The simulation results of the test system have been compared with other existing results.

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