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Strategic allocation of community energy storage in a residential system with rooftop PV units

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  • Sardi, Junainah
  • Mithulananthan, N.
  • Hung, Duong Quoc

Abstract

The electrical power sector has entered an era of decarbonizing energy generation by accommodating more Renewable Energy Sources (RES), especially solar energy in the power grid. However, high penetration of such a resource has negative impacts on the power network such as power fluctuations, reverse power flows and voltage rises. Energy Storage (ES) offers an effective solution to addressing those challenges while improving the load factor as well as the utilization of network infrastructures. This paper proposes a new framework to integrate Community Energy Storage (CES) units in an existing residential community system with rooftop solar Photovoltaic (PV) units. In this framework, three analytical approaches are respectively developed to handle three important parameters of the CES integration (i.e. locations, sizes and operational characteristics) to enhance network performances. Firstly, a simple approach is developed on the basis of a Center of Gravity (COG) theory to determine the location of CES for minimizing the annual energy loss. Secondly, a new analytical formulation based on a load following control method is presented to identify the proper rated capacity of CES and its hourly dispatch strategy for achieving a desired annual load factor. Lastly, a technique to estimate the optimal operational characteristic of CES is proposed for flattening the daily demand profile and improving the voltage profile. The proposed framework is tested on a 19-bus test system while considering the probability of PV generation along with load variations. The numerical results show that the developed framework can bring the system load factor to a maximum of 0.76, at which the penetration levels of CES and PV are at 22% and 5% respectively while reducing the energy loss by 24.21% and enhancing the voltage profile significantly. The results also indicate that 22% CES penetration can reduce the annual purchased energy cost from the grid by 11.1% and the annual energy loss cost by 36.88%, where the system accommodates respective PV penetration levels of 5% and 50%.

Suggested Citation

  • Sardi, Junainah & Mithulananthan, N. & Hung, Duong Quoc, 2017. "Strategic allocation of community energy storage in a residential system with rooftop PV units," Applied Energy, Elsevier, vol. 206(C), pages 159-171.
    • Handle: RePEc:eee:appene:v:206:y:2017:i:c:p:159-171
    DOI: 10.1016/j.apenergy.2017.08.186
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    References listed on IDEAS

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    1. Sardi, Junainah & Mithulananthan, N. & Gallagher, M. & Hung, Duong Quoc, 2017. "Multiple community energy storage planning in distribution networks using a cost-benefit analysis," Applied Energy, Elsevier, vol. 190(C), pages 453-463.
    2. Parra, David & Gillott, Mark & Norman, Stuart A. & Walker, Gavin S., 2015. "Optimum community energy storage system for PV energy time-shift," Applied Energy, Elsevier, vol. 137(C), pages 576-587.
    3. 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.
    4. Hung, Duong Quoc & Dong, Zhao Yang & Trinh, Hieu, 2016. "Determining the size of PHEV charging stations powered by commercial grid-integrated PV systems considering reactive power support," Applied Energy, Elsevier, vol. 183(C), pages 160-169.
    5. Zhao, Jiayun & Kucuksari, Sadik & Mazhari, Esfandyar & Son, Young-Jun, 2013. "Integrated analysis of high-penetration PV and PHEV with energy storage and demand response," Applied Energy, Elsevier, vol. 112(C), pages 35-51.
    6. Zafirakis, Dimitrios & Chalvatzis, Konstantinos J. & Baiocchi, Giovanni & Daskalakis, George, 2013. "Modeling of financial incentives for investments in energy storage systems that promote the large-scale integration of wind energy," Applied Energy, Elsevier, vol. 105(C), pages 138-154.
    7. Zheng, Menglian & Meinrenken, Christoph J. & Lackner, Klaus S., 2015. "Smart households: Dispatch strategies and economic analysis of distributed energy storage for residential peak shaving," Applied Energy, Elsevier, vol. 147(C), pages 246-257.
    8. Karimi, M. & Mokhlis, H. & Naidu, K. & Uddin, S. & Bakar, A.H.A., 2016. "Photovoltaic penetration issues and impacts in distribution network – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 594-605.
    9. Kabir, M.N. & Mishra, Y. & Ledwich, G. & Xu, Z. & Bansal, R.C., 2014. "Improving voltage profile of residential distribution systems using rooftop PVs and Battery Energy Storage systems," Applied Energy, Elsevier, vol. 134(C), pages 290-300.
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    7. Das, Choton K. & Bass, Octavian & Kothapalli, Ganesh & Mahmoud, Thair S. & Habibi, Daryoush, 2018. "Optimal placement of distributed energy storage systems in distribution networks using artificial bee colony algorithm," Applied Energy, Elsevier, vol. 232(C), pages 212-228.
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    12. Walker, Awnalisa & Kwon, Soongeol, 2021. "Analysis on impact of shared energy storage in residential community: Individual versus shared energy storage," Applied Energy, Elsevier, vol. 282(PA).
    13. Secchi, Mattia & Barchi, Grazia & Macii, David & Moser, David & Petri, Dario, 2021. "Multi-objective battery sizing optimisation for renewable energy communities with distribution-level constraints: A prosumer-driven perspective," Applied Energy, Elsevier, vol. 297(C).
    14. Huang, Pei & Sun, Yongjun & Lovati, Marco & Zhang, Xingxing, 2021. "Solar-photovoltaic-power-sharing-based design optimization of distributed energy storage systems for performance improvements," Energy, Elsevier, vol. 222(C).
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