Abstract
Smart Grid (SG) has attained the great attention of the research community. SG integrates Distributed Energy Generators (DG) to produce electricity. Micro Grids (MG) exploit many Renewable Energy Sources (RES) such as wind turbine and solar panels. Due to intermittent nature of RES, the power output cannot be controlled and MGs often have a surplus or deficient energy to exchange with Utility Grid (UG). However, power line losses and energy sharing cost between UG and each MG are higher than among the MGs. In contrast, energy sharing among MGs is a promising solution to alleviate power line losses and minimize energy sharing cost. Authors proposed a cooperative model in which MGs make coalitions using coalitional game theory depending upon the distance among MGs. MGs exchange energy with other MGs as well as with UG in such a manner to optimize the objective function. Simulation results demonstrated that cooperative model alleviates power line losses by 42% and minimize energy sharing cost as compared to the non-cooperative model.
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References
Rheinisch-Westfalische Elektrizitatswerke (RWE): Typical Daily Consumption of Electrical Power in Germany (2005)
National Energy Technology Laboratory, United States Department of Energy: A vision for the modern grid (2007). https://www.smartgrid.gov/files/VisionforModernGrid200701.pdf
NIST Framework and Roadmap for Smart Grid Interoperability Standards, Release 3.0. http://www.nist.gov/smartgrid/upload/NISTDraftFrameworkOct2013.pdf
Liu, H., Xu, X., Ding, M.: The energy management system of the smartgrid characterized by multi-parts interactions. In: 2014 China International Conference on Electricity Distribution (CICED), Shenzhen, pp. 1056–1063 (2014)
Kersting, W.H.: Distribution System Modeling and Analysis, 3rd edn. CRC Press, Boca Raton (2012)
Paterakis, N.G., Erdin, O., Pappi, I.N., Bakirtzis, A.G., Catalo, J.P.S.: Coordinated operation of a neighborhood of smart households comprising electric vehicles, energy storage and distributed generation. IEEE Trans. Smart Grid 7(6), 2736–2747 (2016)
Mangiatordi, F., Pallotti, E., Panzieri, D., Capodiferro, L.: Multi agent system for cooperative energy management in microgrids. 2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC), Florence, pp. 1–5 (2016)
Rahbar, K., Chai, C.C., Zhang, R.: Energy cooperation optimization in microgrids with renewable energy integration. IEEE Trans. Smart Grid 9(2), 1482–1493 (2018)
Wang, Y., Saad, W., Han, Z., Poor, H.V., Baar, T.: A game-theoretic approach to energy trading in the smart grid. IEEE Trans. Smart Grid 5(3), 1439–1450 (2014)
Chakraborty, S., Nakamura, S., Okabe, T.: Real-time energy exchange strategy of optimally cooperative microgrids for scale-flexible distribution system. Expert Syst. Appl. 42(10), 4643–4652 (2015)
Wei, C., Fadlullah, Z.M., Kato, N., Takeuchi, A.: GT-CFS: a game theoretic coalition formulation strategy for reducing power loss in micro grids. IEEE Trans. Parallel Distrib. Syst. 25(9), 2307–2317 (2014)
Wang, Z., Zhu, Q., Huang, M., Yang, B.: Optimization of economic/environmental operation management for micro-grids by using hybrid fireworks algorithm. Int. Trans. Electr. Energy Syst. 27(12) (2017)
Hafeez, G., Javaid, N., Iqbal, S., Khan, F.A.: Optimal residential load scheduling under utility and rooftop photovoltaic units. Energies 11(3), 611–637 (2018)
Ni, J., Ai, Q.: Economic power transaction using coalitional game strategy in micro-grids. IET Gener. Transm. Distrib. 10(1), 10–18 (2016)
Lee, W.P., Choi, J.Y., Won, D.J.: Coordination strategy for optimalscheduling of multiple microgrids based on hierarchical system. Energies 10(9), 1336–1353 (2017)
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Khalid, M.U., Javaid, N., Iqbal, M.N., Rehman, A.A., Khalid, M.U., Sarwar, M.A. (2019). Cooperative Energy Management Using Coalitional Game Theory for Reducing Power Losses in Microgrids. In: Barolli, L., Javaid, N., Ikeda, M., Takizawa, M. (eds) Complex, Intelligent, and Software Intensive Systems. CISIS 2018. Advances in Intelligent Systems and Computing, vol 772. Springer, Cham. https://doi.org/10.1007/978-3-319-93659-8_28
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DOI: https://doi.org/10.1007/978-3-319-93659-8_28
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