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access icon openaccess An electric power trading framework for smart residential community in smart cities

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References

    1. 1)
      • 13. Liu, N., Cheng, M., Yu, X., et al: ‘Energy-sharing provider for pv prosumer clusters: a hybrid approach using stochastic programming and stackelberg game’, IEEE Trans. Ind. Electron., 2018, 65, (8), pp. 67406750.
    2. 2)
      • 9. Shamsi, P., Xie, H., Longe, A., et al: ‘Economic dispatch for an agent-based community microgrid’, IEEE Trans. Smart Grid, 2016, 7, (5), pp. 23172324.
    3. 3)
      • 3. Schweppe, F.C.: ‘Power systems2000’: hierarchical control strategies’, IEEE Spectr., 1978, 15, (7), pp. 4247.
    4. 4)
      • 10. Long, C., Wu, J., Zhang, C., et al: ‘Peer-to-peer energy trading in a community microgrid’. IEEE Power & Energy Society General Meeting, 2017, Chicago, IL, USA, 2017, pp. 15.
    5. 5)
      • 22. Arun, S.L., Selvan, M.P.: ‘Dynamic demand response in smart buildings using an intelligent residential load management system’, IET Gener. Transm. Distrib., 2017, 11, (17), pp. 43484357.
    6. 6)
      • 1. Wang, C., Ekanayake, J., Wu, J.: ‘Smart electricity distribution networks’ (Taylor & Francis; CRC Press, Boca Raton, Florida, USA, 2017, 1st edn.).
    7. 7)
      • 17. Morstyn, T., Darby, S.J., Farrell, N., et al: ‘Using peer-to-peer energy-trading platforms to incentivize prosumers to form federated power plants’, Nature Energy, 2018, 3, pp. 94101.
    8. 8)
      • 2. Paudel, A., Chaudhari, K., Long, C., et al: ‘Peer-to-peer energy trading in a prosumer-based community microgrid: A game-theoretic model’, IEEE Trans. Ind. Electron., 2019, 66, (8), pp. 60876097.
    9. 9)
      • 7. Celik, B., Roche, R., Bouquain, D., et al: ‘Coordinated neighborhood energy sharing using game theory and multi-agent systems’. 2017 IEEE Manchester PowerTech. Manchester, United Kingdom, 2017, pp. 16.
    10. 10)
      • 8. Cintuglu, M.H., Martin, H., Mohammed, O.A.: ‘Real-time implementation of multiagent-based game theory reverse auction model for microgrid market operation’, IEEE Trans. Smart Grid, 2015, 6, (2), pp. 10641072.
    11. 11)
      • 4. GWAC. ‘Gridwise transactive energy framework version 1.0 department of energy Washington’, January 2015. Available at https://www.gridwiseac.org/pdfs/te_framework_report_pnnl-22946.pdf, Accessed 01 Jan 2019.
    12. 12)
      • 12. Zhou, S., Hu, Z., Gu, W., et al: ‘Artificial intelligence based smart energy community management: A reinforcement learning approach’, CSEE J. Power Energy Syst., 2019, 5, (1), pp. 110.
    13. 13)
      • 5. McArthur, S.D.J., Davidson, E.M., Catterson, V.M., et al: ‘Multi-agent systems for power engineering applications part i: concepts, approaches, and technical challenges’, IEEE Trans. Power Syst., 2007, 22, (4), pp. 17431752.
    14. 14)
      • 15. Zhang, C., Wu, J., Cheng, M., et al: ‘A bidding system for peer-to-peer energy trading in a grid-connected microgrid’, Energy Procedia, 2016, 103, pp. 147152.
    15. 15)
      • 19. Arun, S.L., Selvan, M.P.: ‘Intelligent residential energy management system for dynamic demand response in smart buildings’, IEEE Syst. J., 2018, 12, (2), pp. 13291340.
    16. 16)
      • 16. Zhang, C., Wu, J., Long, C., et al: ‘Review of existing peer-to-peer energy trading projects’, Energy Procedia, 2017, 105, pp. 25632568.
    17. 17)
      • 6. Alvaro-Hermana, R., Fraile-Ardanuy, J., Zufiria, P.J., et al: ‘Peer to peer energy trading with electric vehicles’, IEEE Intell. Transp. Syst. Mag., 2016, 8, (3), pp. 3344.
    18. 18)
      • 21. Arun, S.L., Selvan, M.P.: ‘Prosumer based demand response for profitable power exchange between end-user and utility’. 2018 20th National Power Systems Conf. (NPSC), Tiruchirappalli, India, 2018, pp. 16.
    19. 19)
      • 11. Liu, N., Yu, X., Wang, C., et al: ‘Energy-sharing model with price-based demand response for microgrids of peer-to-peer prosumers’, IEEE Trans. Power Syst., 2017, 32, (5), pp. 35693583.
    20. 20)
      • 20. Katsigiannis, Y.A., Georgilakis, P.S., Karapidakis, E.S.: ‘Hybrid simulated annealing–tabu search method for optimal sizing of autonomous power systems with renewables’, IEEE Trans. Sustain. Energy, 2012, 3, (3), pp. 330338.
    21. 21)
      • 18. Singh, S., Roy, A., Selvan, M.P.: ‘Smart load node for nonsmart load under smart grid paradigm: a new home energy management system’, IEEE Consum. Electron. Mag., 2019, 8, (2), pp. 2227.
    22. 22)
      • 14. Long, C., Wu, J., Zhang, C., et al: ‘Feasibility of peer-to-peer energy trading in low voltage electrical distribution networks’, Energy Procedia, 2017, 105, pp. 22272232.
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