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References

    1. 1)
      • 1. Labisa, P.E., Visandeb, R.G., Pallugnac, R.C., et al: ‘The contribution of renewable distributed generation in mitigating carbon dioxide emissions’, Renew. Sustain. Energy Rev., 2011, 15, (9), pp. 48914896.
    2. 2)
      • 2. Paliwal, P., Patidar, N.P., Nema, R.K.: ‘Planning of grid integrated distributed generators: a review of technology, objectives and techniques’, Renew. Sustain. Energy Rev., 2014, 40, pp. 557570.
    3. 3)
      • 3. Singh, B., Sharma, J.: ‘A review on distributed generation planning’, Renew. Sustain. Energy Rev., 2017, 76, pp. 529544.
    4. 4)
      • 4. Pesaran, H.A.M., Huy, P.D., Ramachandaramurthy, V.K.: ‘A review of the optimal allocation of distributed generation: objectives, constraints, methods, and algorithms’, Renew. Sustain. Energy Rev., 2017, 75, pp. 293312.
    5. 5)
      • 5. Liu, M., Quilumba, F.L., Lee, W.: ‘A collaborative design of aggregated residential appliances and renewable energy for demand response participation’, IEEE Trans. Ind. Appl., 2016, 51, (5), pp. 35613569.
    6. 6)
      • 6. Ali, M., Degefa, M.Z., Humayun, M., et al: ‘Increased utilization of wind generation by coordinating the demand response and real-time thermal rating’, IEEE Trans. Power Syst., 2016, 31, (5), pp. 37373746.
    7. 7)
      • 7. Yang, Q., Fang, X.: ‘Demand response under real-time pricing for domestic households with renewable DGs and storage’, IET Gener. Transm. Distrib., 2017, 11, (8), pp. 19101918.
    8. 8)
      • 8. Gottwalt, S., Gärttner, J., Schmeck, H., et al: ‘Modeling and valuation of residential demand flexibility for renewable energy integration’, IEEE Trans. Smart Grid, 2017, 8, (6), pp. 25652574.
    9. 9)
      • 9. Asensio, M., Meneses de Quevedo, P., Muñoz-Delgado, G., et al: ‘Joint distribution network and renewable energy expansion planning considering demand response and energy storage — part I: stochastic programming model’, IEEE Trans. Smart Grid, 2018, 9, (2), pp. 655666.
    10. 10)
      • 10. Asensio, M., Meneses de Quevedo, P., Muñoz-Delgado, G., et al: ‘Joint distribution network and renewable energy expansion planning considering demand response and energy storage — part II: numerical results’, IEEE Trans. Smart Grid, 2018, 9, (2), pp. 667675.
    11. 11)
      • 11. Calvillo, C.F., Sánchez-Miralles, A., Villar, J., et al: ‘Optimal planning and operation of aggregated distributed energy resources with market participation’, Appl. Energy, 2016, 182, pp. 340357.
    12. 12)
      • 12. Pina, A., Silva, C., Ferrão, P.: ‘The impact of demand side management strategies in the penetration of renewable electricity’, Energy, 2012, 41, (1), pp. 128137.
    13. 13)
      • 13. Humayd, A.S.B., Bhattacharya, K.: ‘Distribution system planning to accommodate distributed energy resources and PEVs’, Electr. Power Syst. Res., 2017, 145, pp. 111.
    14. 14)
      • 14. Erdinc, O., Paterakis, N.G., Pappi, I.N., et al: ‘A new perspective for sizing of distributed generation and energy storage for smart households under demand response’, Appl. Energy, 2015, 143, pp. 2637.
    15. 15)
      • 15. Moura, P.S., Almeida, A.T.: ‘Multi-objective optimization of a mixed renewable system with demand-side management’, Renew. Sustain. Energy Rev., 2010, 14, (5), pp. 14611468.
    16. 16)
      • 16. Fini, A.S., Moghaddam, M.P., Sheikh-El-Eslami, M.K.: ‘An investigation on the impacts of regulatory support schemes on distributed energy resource expansion planning’, Renew. Energy, 2013, 53, pp. 339349.
    17. 17)
      • 17. Wang, Z., Chen, Y., Mei, S., et al: ‘Optimal expansion planning of isolated microgrid with renewable energy resources and controllable loads’, IET Renew. Power Gener., 2017, 11, (7), pp. 931940.
    18. 18)
      • 18. Hejeejo, R., Qiu, J., Brinsmead, T.S., et al: ‘Sustainable energy system planning for the management of MGs: a case study in New South Wales, Australia’, IET Renew. Power Gener., 2017, 11, (2), pp. 228238.
    19. 19)
      • 19. Choi, D.G., Thomas, V.M.: ‘An electricity generation planning model incorporating demand response’, Energy. Policy, 2012, 42, pp. 429442.
    20. 20)
      • 20. Zeng, B., Zhang, J., Yang, X., et al: ‘Integrated planning for transition to low-carbon distribution system with renewable energy generation and demand response’, IEEE Trans. Power Syst., 2014, 29, (3), pp. 11531165.
    21. 21)
      • 21. Jin, S., Botterud, A., Ryan, S.M.: ‘Impact of demand response on thermal generation investment with high wind penetration’, IEEE Trans. Smart Grid, 2013, 4, (4), pp. 23742383.
    22. 22)
      • 22. Ma, K., Yao, T., Yang, J., et al: ‘Residential power scheduling for demand response in smart grid’, Int. J. Electr. Power Energy Syst., 2016, 78, pp. 320325.
    23. 23)
      • 23. Demand bidding program – PG&E’. Available at https://www.pge.com/includes/docs/pdfs/mybusiness/energysavingsrebates/demandresponse/dbp/fs_dbp.pdf, accessed 27 January 2018.
    24. 24)
      • 24. Dang, C., Wang, X., Wang, X., et al: ‘Electrical model and control method of heat pump water heaters for promoting renewable integration’. Proc. China Int. Conf. Electricity Distribution (CICED), Xi'an, China, August 2016, pp. 15.
    25. 25)
      • 25. Erdinç, O., Taşcıkaraoğlu, A., Paterakis, N.G., et al: ‘End-user comfort oriented day-ahead planning for responsive residential HVAC demand aggregation considering weather forecasts’, IEEE Trans. Smart Grid, 2017, 8, (1), pp. 272362.
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