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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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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