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ABSTRACT
Energy Sources with high intermittencies have made the grid complex. These sources utilize renewable resources to generate clean energy, but power management and power delivery are badly affected. Stochastic forecasting and optimized power scheduling techniques can help to solve the issue of reliable power delivery and reduce the complexity of the distribution system. In this paper, load and intermittency forecasting of DER (Distributed Energy Resources) is done by stochastic techniques. Using the obtained forecasted parameters, power is scheduled to minimize the day’s operating cost with constraints modeled from DER and power flow of the system. The DER used are MG (Microgrid), DG (Distributed Generation), and DS (Distribution Storage). The problem is formulated using YALMIP and solved using GUROBI in the MATLAB platform. A 33-bus system is used as a test system to validate the algorithm. The proposed method results in a 20.79% reduction in operating cost when compared to nonforecasted intermittency and load, nonoptimized scheduling conditions. Also, an 8.96% reduction in operating cost is obtained compared to optimized scheduling and nonforecasted intermittency and load conditions.
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No potential conflict of interest was reported by the author(s).
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Notes on contributors
B V Surya Vardhan
B V Surya Vardhan received his Master’s degree in Integrated Power System from Visvesvaraya National Institute of Technology (VNIT) Nagpur in 2019. Currently, he is pursuing PhD from VNIT Nagpur in Power System Restructuring under the MHRD (Ministry of Human Resource and development) fellowship by Government of India. His research interest includes Grid integration issues, Power scheduling and management, Impact of protection in new and resilient grids, etc.
Mohan Khedkar
Mohan Khedkar received M.Tech. and Ph.D. degrees in Electrical Engineering from Nagpur University, Maharashtra, India, in 1983 and 1994, respectively. He is presently working as a Professor in the Electrical Engineering Department at Visvesvaraya National Institute of Technology (VNIT) Nagpur, Maharashtra, India . He is a Senior Member IEEE, Chairperson for SEEM (Society of Energy Engineers and Managers) of Maharashtra state and Fellow of Institution of Engineers (IEI) India and served as Vice-Chancellor, S.G.B Amravati University, Maharashtra, India, from 2011 to 2016. He was awarded “Union Ministry of Energy – Department of Power Prize” for the paper titled “Optimal Electricity Nodal Pricing in a Restructured Electricity Market” published in the Electrical Engineering Journal of Institution of Engineers (India), Vol.91, June 2010 issue. He also received ‘Best Paper Award’ for the paper titled ‘Generation capacity assessment of distributed energy sources for Rural Area Power Supply,’ presented at National Conference- SEEM 2004 held at National Institute of Tech., Trichy, during Apr’04. He has authored two books and published around 150 papers in various reputed journals and conferences, India. His research interests include renewable energy systems, power system stability, and distribution automation
Ishan Srivastava
Ishan Srivastava received his bachelor’s degree in Electrical Engineering from Uttar Pradesh Technical University (UPTU), Lucknow, India, in 2012 and Master’s degree in Power System from Maulana Azad National Institute of Technology, Bhopal, India, in 2014. Currently, he is pursuing his doctorate from Electrical Engineering Department, Visvesvaraya National Institute of Technology, Nagpur, India. His research area includes Distribution Automation, Power System Optimization, and Application of Artificial Intelligence and Machine Learning in the field of Power System