Indian Journal of Science and Technology
Year: 2018, Volume: 11, Issue: 34, Pages: 1-13
Galiveeti Hemakumar Reddy1,2*, Arup Kumar Goswami2 and Nalin B. Dev Choudhury2
1 Department of Electrical and Electronics Engineering, Institute of Aeronautical Engineering, Hyderabad – 500043, Telangana, India; [email protected]
2 Department of Electrical Engineering, National Institute of Technology Silchar – 788010, Assam, India; [email protected], [email protected]
*Author for correspondence
Galiveeti Hemakumar Reddy,
Department of Electrical and Electronics Engineering, Institute of Aeronautical Engineering, Hyderabad – 500043, Telangana, India; [email protected]
Objectives: To study the impact of Distributed Generation (DG) integration and automation on distribution system (DS) reliability. Impact of switch operational failures is to be studied. Methods/Statistical Analysis: The system reliability is estimated using time sequential Monte Carlo Simulation (MCS) considering time varying load models. The uncertainties of wind and solar powers are modelled by using Weibull and Beta probability distribution functions respectively. The concept of expectation is used for fuse and switch operational failures to determine the average outage time. System equipment is modelled using two state continues Markov modelling. Findings: The impact of DGs and system automation on distribution system reliability is estimated. The impact analysis is done on a practical Indian distribution system. The impact on system reliability due to operational failures of the fuses and switches is analysed. The failures of substation equipment and DGs are also included for reliability evaluation. The load transfer restrictions are applied on feeders and load transfer capacity is evaluated based on the instantaneous loading of the feeder. Both system reliability and load point reliability is evaluated for impact analysis and results are compared. Application/Improvements: The results contribute the generic observations regarding the impact of DG integration and operational failures of switches.
Keywords: Distribution Automation, Distributed Generation, Monte Carlo Simulation, Probability Distributions, Solar Power, Wind Power
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