• DocumentCode
    129113
  • Title

    Optimal design and management of a smart residential PV and energy storage system

  • Author

    Di Zhu ; Yanzhi Wang ; Naehyuck Chang ; Pedram, Massoud

  • Author_Institution
    Univ. of Southern California, Los Angeles, CA, USA
  • fYear
    2014
  • fDate
    24-28 March 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Solar photovoltaic (PV) technology has been widely deployed in large power plants operated by utility companies. However, the home owners are not yet convinced of the saving cost benefits of this technology, and consequently, in spite of government subsidies, they have been reluctant to install PV systems in their homes. The main reason for this is the absence of a complete and truthful analysis which could explain to home owners under what conditions spending money on a PV system can actually save them money over a long-term, but known, time horizon. This paper thus presents a design and management mechanism for a smart residential energy system comprising PV modules, electrical energy storage banks, and conversion circuits connected to the power grid. First, we figure out how much savings can be achieved by a system with given PV modules and EES bank capacities by optimally solving the daily energy flow control problem of such a system. Based on the daily optimization results, we come up with the optimal system specifications with a fixed budget. Experiments are conducted for various electricity prices and different profiles of PV output power and load demand. Results show that the designed system breaks even in 6 years and in the system lifetime achieves up to 8% annual profit besides paying back the budget.
  • Keywords
    energy management systems; energy storage; photovoltaic power systems; power system management; EES bank capacity; PV modules; PV systems; conversion circuits; electrical energy storage banks; electricity prices; energy flow control problem; government subsidies; power grid; power plants; smart residential PV management mechanism; smart residential PV optimal design; smart residential energy system; solar photovoltaic technology; Batteries; Degradation; Discharges (electric); Electricity; Lead; Power generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design, Automation and Test in Europe Conference and Exhibition (DATE), 2014
  • Conference_Location
    Dresden
  • Type

    conf

  • DOI
    10.7873/DATE.2014.154
  • Filename
    6800355