Cooperative Energy Management Using Coalitional Game Theory for Reducing Power Losses in Microgrids
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.
KeywordsSupply side management Smart Grid Micro Grid Coalitions game theory
- 1.Rheinisch-Westfalische Elektrizitatswerke (RWE): Typical Daily Consumption of Electrical Power in Germany (2005)Google Scholar
- 2.National Energy Technology Laboratory, United States Department of Energy: A vision for the modern grid (2007). https://www.smartgrid.gov/files/VisionforModernGrid200701.pdf
- 3.NIST Framework and Roadmap for Smart Grid Interoperability Standards, Release 3.0. http://www.nist.gov/smartgrid/upload/NISTDraftFrameworkOct2013.pdf
- 4.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)Google Scholar
- 7.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)Google Scholar