Energy storage; Heuristics; Mixed integer linear programming; Renewable energy; Electric power networks; Energy storage systems; Intermittent behaviors; Meta heuristic algorithm; Renewable energies; State-of-the-art algorithms; Energy Engineering and Power Technology; Electrical and Electronic Engineering
Abstract :
[en] The increased use of renewable generators and their intermittent behavior motivates network operators to deploy energy storage systems. In this study, energy storage types, locations, and capacities are optimized for a capacitated electric power network with renewable generation. Short term operational decisions that include charging/discharging schedules and capacity management of the storage systems are included in this optimization framework to capture hourly, daily, and seasonal fluctuations of the demand, renewable generation, and energy prices. A Mixed Integer Linear Programming (MILP) formulation is developed but because of the computational complexity, a mathematical programming based metaheuristic algorithm is proposed. With a numerical study, the proposed heuristic method is proved to be highly effective compared to the MILP formulation and an existing state of the art algorithm. The effects of storage installation costs, line capacities, demand and generation variance on the values of storage systems and on the installation decisions are analyzed through numerical studies.
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Agrali, Cansu ✱; The School of Industrial Engineering, Purdue University, West Lafayette, United States
Gultekin, Hakan; The Department of Industrial Engineering, TOBB University of Economics and Technology, Ankara, Türkiye ; The Department of Mechanical & Industrial Engineering, Sultan Qaboos University, Muscat, Oman
Tekin, Salih; The Department of Industrial Engineering, TOBB University of Economics and Technology, Ankara, Türkiye
ONER, Nihat ; University of Luxembourg > Faculty of Law, Economics and Finance (FDEF) > Department of Economics and Management (DEM) > LCL ; The Department of Industrial Engineering, TOBB University of Economics and Technology, Ankara, Türkiye
✱ These authors have contributed equally to this work.
External co-authors :
yes
Language :
English
Title :
Measuring the value of energy storage systems in a power network
Publication date :
September 2020
Journal title :
International Journal of Electrical Power and Energy Systems
Scientific and Technological Research Council of Turkey (TÜBİTAK
Funding text :
The first author is partially supported by the Scientific and Technological Research Council of Turkey (TÜBİTAK ), Grant No. 2228 . We would like to thank to the anonymous reviewers whose comments have greatly improved this manuscript.
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