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Integration of PV and BES units in commercial distribution systems considering energy loss and voltage stability

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  • Hung, Duong Quoc
  • Mithulananthan, N.
  • Bansal, R.C.

Abstract

This paper discusses the integration of solar photovoltaic (PV) and battery energy storage (BES) units for reducing energy loss and enhancing voltage stability. Here, each nondispatchable PV unit is converted into a dispatchable source with a combination of PV and BES units. New multiobjective index (IMO)-based analytical expressions are proposed to capture the size and power factor of the combination of PV and BES units. A self-correction algorithm (SCA) is also developed for sizing multiple PV and BES units while considering the time-varying demand and probabilistic generation. The power factors of PV and BES units are optimally dispatched at each load level. Results obtained on a 33-bus commercial distribution system show the validity of the proposed approach and algorithm for calculating the optimal size and power factor of multiple PV and BES units. The results show that operation of PV and BES units with optimal power factors can substantially reduce energy loss and better enhance voltage stability when compared to that with unity power factor. As a result of the tangible technical benefits, it may be appropriate for utilities to set up frameworks and standards for PV units operation at optimal power factor as the current IEEE 1547 standard only allows PV generation at unity power factor.

Suggested Citation

  • Hung, Duong Quoc & Mithulananthan, N. & Bansal, R.C., 2014. "Integration of PV and BES units in commercial distribution systems considering energy loss and voltage stability," Applied Energy, Elsevier, vol. 113(C), pages 1162-1170.
  • Handle: RePEc:eee:appene:v:113:y:2014:i:c:p:1162-1170
    DOI: 10.1016/j.apenergy.2013.08.069
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    References listed on IDEAS

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    1. Hung, Duong Quoc & Mithulananthan, N. & Bansal, R.C., 2013. "Analytical strategies for renewable distributed generation integration considering energy loss minimization," Applied Energy, Elsevier, vol. 105(C), pages 75-85.
    2. Avril, S. & Arnaud, G. & Florentin, A. & Vinard, M., 2010. "Multi-objective optimization of batteries and hydrogen storage technologies for remote photovoltaic systems," Energy, Elsevier, vol. 35(12), pages 5300-5308.
    3. Nottrott, A. & Kleissl, J. & Washom, B., 2013. "Energy dispatch schedule optimization and cost benefit analysis for grid-connected, photovoltaic-battery storage systems," Renewable Energy, Elsevier, vol. 55(C), pages 230-240.
    4. Martinez-Rojas, Marcela & Sumper, Andreas & Gomis-Bellmunt, Oriol & Sudrià-Andreu, Antoni, 2011. "Reactive power dispatch in wind farms using particle swarm optimization technique and feasible solutions search," Applied Energy, Elsevier, vol. 88(12), pages 4678-4686.
    5. Niknam, Taher & Taheri, Seyed Iman & Aghaei, Jamshid & Tabatabaei, Sajad & Nayeripour, Majid, 2011. "A modified honey bee mating optimization algorithm for multiobjective placement of renewable energy resources," Applied Energy, Elsevier, vol. 88(12), pages 4817-4830.
    6. Manfren, Massimiliano & Caputo, Paola & Costa, Gaia, 2011. "Paradigm shift in urban energy systems through distributed generation: Methods and models," Applied Energy, Elsevier, vol. 88(4), pages 1032-1048, April.
    7. Ekren, Orhan & Ekren, Banu Yetkin, 2008. "Size optimization of a PV/wind hybrid energy conversion system with battery storage using response surface methodology," Applied Energy, Elsevier, vol. 85(11), pages 1086-1101, November.
    8. Bakos, G.C., 2009. "Distributed power generation: A case study of small scale PV power plant in Greece," Applied Energy, Elsevier, vol. 86(9), pages 1757-1766, September.
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