Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

access icon openaccess Optimal control strategy of load aggregators with demand response

This study presents an optimal control strategy for a load aggregator (LA) with demand response. The LA can provide consumers with time-of-use electricity price which could be different with the selling price of electricity by power grid. At the same time, LA has some distributed photovoltaic power generations, several diesel generators and energy storage devices to ensure user reliability and improve benefits. The LA's objective is to maximum its benefits without infringing the interests of consumers. A model of quadratical constraint quadratic programming is established to describe the above issues, and the generator-battery control strategy with demand response (DR) under optimal economic operation of the system is solved by CPLEX. The results show that the proposed management strategy and DR strategy improves the operational economy of the system.

References

    1. 1)
      • 2. Xu, Y., Singh, C.: ‘Operation strategies of the load aggregator with electric energy storage’. 2012 IEEE Int. Conf. on Power System Technology (POWERCON), Auckland, 2012, pp. 16.
    2. 2)
      • 5. Hung, D.Q., Mithulananthan, N., Bansal, R.C.: ‘Integration of PV and BES units in commercial distribution systems considering energy loss and voltage stability’, Appl. Energy, 2014, 113, (6), pp. 11621170.
    3. 3)
      • 1. Xu, Y., Xie, L., Singh, C.: ‘Optimal scheduling and operation of load aggregators with electric energy storage facing price and demand uncertainties’. 2011 North American Power Symp., Boston, MA, 2011, pp. 17.
    4. 4)
      • 4. Eyer, J.M., Corey, G.P.: ‘Energy storage for the electricity grid: benefits and market potential assessment guide: a study for the DOE energy storage systems program’, Geburtshilfe. Frauenheilkd., 2010, 45, (5), pp. 322325.
    5. 5)
      • 6. Paterakis, N.G., Erdin, O., BakirtzisA, G., et al: ‘Qualification and quantification of reserves in power systems under high wind generation penetration considering demand response’, IEEE Trans. Sust. Energy, 2015, 6, (1), pp. 88103.
    6. 6)
      • 3. Bessa, R.J., Matos, M.A.: ‘The role of an aggregator agent for EV in the electricity market’. Power Generation, Transmission, Distribution and Energy Conversion. IET, 2011, pp. 19.
http://iet.metastore.ingenta.com/content/journals/10.1049/joe.2018.8797
Loading

Related content

content/journals/10.1049/joe.2018.8797
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address