@phdthesis{oai:u-ryukyu.repo.nii.ac.jp:02019815,
 author = {ELMESALAMY, MAHMOUD MOHAMED GAMIL ABDALLA},
 note = {Microgrid is the brightest solution to overcome the energy problems of the newly constructed areas. Multi-objectiveoptimal microgrid sizing plays a technical·economical·environmental role in designing sustainable and reliablepower systems. In order to reduce CO2 emissions, depending on renewable power sources is the best option to reachthis target. Hybrid renewable sources with st.orage facilities help in reducing renewable sources'uncertainties.Connecting the microgrid to the public grid ensures the full system reliability and increases the system productivityby selling extra power back to the utility. System productivity can be increased by selling extra power to the grid,integrating electric vehicles or using excess power in other ways like seawater electrolysis. For any practicalmicrogrid, energy management strategies are crucial for a feasible design. Demand response programs offer anenergy management technique for managing electrical consumption. It is one of the load·side management schemesthat assists in rearranging the load by transferring a portion of it from peak t.o off-peak periods. The integration ofelectric vehicles into microgrids also provides an effective means of energy management. Moreover, replacing ICEcars with electric vehicles reduces emissions, especially if they are charged from renewable sources. Theincorporation ofEVs into microgrids via vehicle·to ·grid strategies has a significant impact on reshaping the load,increasing revenues, and supplying power in the case of outages or a lack of generation. This study introduces astudy of optimal power scheduling and energy management of hybrid residential microgrids. It discusses differentscenarios of the system with different configurations and renewable technologies, considering renewable sources'uncertainty. Moreover, different generation and storage systems are considered, like PV, WG, biomass, fuel cells,seawater electrolysers, BESS, public grid, and EVs. Different multi-objective optimization techniques are introducedto satisfy the optimum system cost with minimum emissions and loss of power supply. Furthermore, a comparisonbetween different EVs integration and V2G techniques is explained. By managing charging and discharging ofEVs,both micro,grid and car owners can make reasonable revenues. Besides that, it provides the ability to change thedemand patterns to satisfy the other microgrid's objectives. Time·of·use demand response is also applied as it hasan effective role in load reshaping to maximize use of renewable sources, reduce the peak load, and lessen the grid'semissions. The obtained results verified that load reshaping techniques provide an effective control option for powernetworks to economize total cost, increase revenues, and 􀃱educe em函ions. This can be done effectively by usingV2G and DR techniques with the help of renewable energy sources. It also confirms the effectiveness of biomass toensure system reliability and reduce grid emissions.},
 school = {琉球大学},
 title = {Multi-Objective Optimal Sizing and Power Scheduling of Microgrids Considering Demand Side Management}
}