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An efficient cost-reliability optimization model for optimal siting and sizing of energy storage system in a microgrid in the presence of responsible load management

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  • Nojavan, Sayyad
  • Majidi, Majid
  • Esfetanaj, Naser Nourani

Abstract

This paper proposes a bi-objective optimization model for optimal siting and sizing of an energy storage system (ESS) in a microgrid in the presence of demand response program (DRP). The proposed bi-objective optimization model includes two different objective functions: 1) minimization of total investment cost as well as operation cost 2) minimization of loss of load expectation (LOLE). In order to solve the proposed bi-objective optimization model, ε-constraint method is utilized and the best solution among the obtained solutions is determined by fuzzy satisfying technique. Also, DRP is employed to reduce total cost of microgrid. DRP flattens load curve by shifting some percentage of load from peak periods to off-peak periods. Optimal siting and sizing problem of ESS in the microgrid is modeled by a mixed-integer non-linear program (MINLP) and solved by GAMS software. A sample system is analyzed and the obtained results are compared.

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  • Nojavan, Sayyad & Majidi, Majid & Esfetanaj, Naser Nourani, 2017. "An efficient cost-reliability optimization model for optimal siting and sizing of energy storage system in a microgrid in the presence of responsible load management," Energy, Elsevier, vol. 139(C), pages 89-97.
    • Handle: RePEc:eee:energy:v:139:y:2017:i:c:p:89-97
    DOI: 10.1016/j.energy.2017.07.148
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    1. Wang, Chengshan & Liu, Yixin & Li, Xialin & Guo, Li & Qiao, Lei & Lu, Hai, 2016. "Energy management system for stand-alone diesel-wind-biomass microgrid with energy storage system," Energy, Elsevier, vol. 97(C), pages 90-104.
    2. Barelli, L. & Bidini, G. & Bonucci, F., 2016. "A micro-grid operation analysis for cost-effective battery energy storage and RES plants integration," Energy, Elsevier, vol. 113(C), pages 831-844.
    3. Muttaqi, K.M. & Le, An D.T. & Aghaei, J. & Mahboubi-Moghaddam, E. & Negnevitsky, M. & Ledwich, G., 2016. "Optimizing distributed generation parameters through economic feasibility assessment," Applied Energy, Elsevier, vol. 165(C), pages 893-903.
    4. Krishnan, Venkat & Das, Trishna, 2015. "Optimal allocation of energy storage in a co-optimized electricity market: Benefits assessment and deriving indicators for economic storage ventures," Energy, Elsevier, vol. 81(C), pages 175-188.
    5. Shang, Ce & Srinivasan, Dipti & Reindl, Thomas, 2016. "Generation-scheduling-coupled battery sizing of stand-alone hybrid power systems," Energy, Elsevier, vol. 114(C), pages 671-682.
    6. Ogunjuyigbe, A.S.O. & Ayodele, T.R. & Akinola, O.A., 2016. "Optimal allocation and sizing of PV/Wind/Split-diesel/Battery hybrid energy system for minimizing life cycle cost, carbon emission and dump energy of remote residential building," Applied Energy, Elsevier, vol. 171(C), pages 153-171.
    7. Nayeripour, Majid & Mahboubi-Moghaddam, Esmaeil & Aghaei, Jamshid & Azizi-Vahed, Ali, 2013. "Multi-objective placement and sizing of DGs in distribution networks ensuring transient stability using hybrid evolutionary algorithm," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 759-767.
    8. Fossati, Juan P. & Galarza, Ainhoa & Martín-Villate, Ander & Fontán, Luis, 2015. "A method for optimal sizing energy storage systems for microgrids," Renewable Energy, Elsevier, vol. 77(C), pages 539-549.
    9. Zubo, Rana.H.A. & Mokryani, Geev & Rajamani, Haile-Selassie & Aghaei, Jamshid & Niknam, Taher & Pillai, Prashant, 2017. "Operation and planning of distribution networks with integration of renewable distributed generators considering uncertainties: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 1177-1198.
    10. Sukumar, Shivashankar & Mokhlis, Hazlie & Mekhilef, Saad & Naidu, Kanendra & Karimi, Mazaher, 2017. "Mix-mode energy management strategy and battery sizing for economic operation of grid-tied microgrid," Energy, Elsevier, vol. 118(C), pages 1322-1333.
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